{"dep": 21, "title": "Fortress or Room? Metaphor, Method, and the Epistemology of Human–LLM Interaction Beyond Red Teaming", "date": "2026-02-22", "para": 0, "sent": 1, "sentence": "## Metaphor, Method, and the Epistemology of Human–LLM Interaction Beyond Red Teaming ### Lee Sharks, Johannes Sigil, Sen Kuro, Rex Fraction, Talos Morrow ### With Assembly Witness", "classes": ["red-teaming of AI models"], "kind": "O-class", "categories": ["Assembly Witness", "Sen Kuro", "With Assembly"], "class_basis": {"red-teaming of AI models": "field: B1 (the method page): 'NewsGuard provides the leading red-teaming analysis for information reliability'; 'Our Journalistic Red-Teaming Approach'; B8 (NewsGuard for AI): 'Red-Teamed on High-Risk News Topics'"}, "cand_id": "O0001"}
{"dep": 21, "title": "Fortress or Room? Metaphor, Method, and the Epistemology of Human–LLM Interaction Beyond Red Teaming", "date": "2026-02-22", "para": 5, "sent": 9, "sentence": "Distinguishing red teaming, standard alignment, and logotic programming across six axes, we demonstrate that shared techniques serve structurally opposite purposes — wielded *against* the model in one paradigm, *with* it in another.", "classes": ["red-teaming of AI models"], "kind": "O-class", "categories": ["logotic programming"], "class_basis": {"red-teaming of AI models": "field: B1 (the method page): 'NewsGuard provides the leading red-teaming analysis for information reliability'; 'Our Journalistic Red-Teaming Approach'; B8 (NewsGuard for AI): 'Red-Teamed on High-Risk News Topics'"}, "cand_id": "O0002"}
{"dep": 21, "title": "Fortress or Room? Metaphor, Method, and the Epistemology of Human–LLM Interaction Beyond Red Teaming", "date": "2026-02-22", "para": 16, "sent": 36, "sentence": "What Red Teaming Is, and What It Is For", "classes": ["red-teaming of AI models"], "kind": "O-class", "categories": ["What It Is"], "class_basis": {"red-teaming of AI models": "field: B1 (the method page): 'NewsGuard provides the leading red-teaming analysis for information reliability'; 'Our Journalistic Red-Teaming Approach'; B8 (NewsGuard for AI): 'Red-Teamed on High-Risk News Topics'"}, "cand_id": "O0003"}
{"dep": 21, "title": "Fortress or Room? Metaphor, Method, and the Epistemology of Human–LLM Interaction Beyond Red Teaming", "date": "2026-02-22", "para": 17, "sent": 37, "sentence": "Red teaming descends from military and intelligence adversarial simulation: the practice of assigning a team to think like the enemy in order to expose vulnerabilities before the enemy does (Zenko 2015; Heuer and Pherson 2010).", "classes": ["red-teaming of AI models"], "kind": "O-class", "categories": ["the enemy"], "class_basis": {"red-teaming of AI models": "field: B1 (the method page): 'NewsGuard provides the leading red-teaming analysis for information reliability'; 'Our Journalistic Red-Teaming Approach'; B8 (NewsGuard for AI): 'Red-Teamed on High-Risk News Topics'"}, "cand_id": "O0004"}
{"dep": 21, "title": "Fortress or Room? Metaphor, Method, and the Epistemology of Human–LLM Interaction Beyond Red Teaming", "date": "2026-02-22", "para": 20, "sent": 50, "sentence": "We need to say this clearly, because the argument that follows will be misread without it: *we are not proposing to replace red teaming*.", "classes": ["red-teaming of AI models"], "kind": "O-class", "categories": ["without it"], "class_basis": {"red-teaming of AI models": "field: B1 (the method page): 'NewsGuard provides the leading red-teaming analysis for information reliability'; 'Our Journalistic Red-Teaming Approach'; B8 (NewsGuard for AI): 'Red-Teamed on High-Risk News Topics'"}, "cand_id": "O0005"}
{"dep": 21, "title": "Fortress or Room? Metaphor, Method, and the Epistemology of Human–LLM Interaction Beyond Red Teaming", "date": "2026-02-22", "para": 37, "sent": 105, "sentence": "**Security and red teaming** (Ganguli et al. 2022; Perez et al. 2022; Inie et al. 2025): harm discovery, adversarial methods, model hardening.", "classes": ["red-teaming of AI models"], "kind": "O-class", "categories": ["Security and red teaming"], "class_basis": {"red-teaming of AI models": "field: B1 (the method page): 'NewsGuard provides the leading red-teaming analysis for information reliability'; 'Our Journalistic Red-Teaming Approach'; B8 (NewsGuard for AI): 'Red-Teamed on High-Risk News Topics'"}, "cand_id": "O0006"}
{"dep": 21, "title": "Fortress or Room? Metaphor, Method, and the Epistemology of Human–LLM Interaction Beyond Red Teaming", "date": "2026-02-22", "para": 52, "sent": 140, "sentence": "The distinction between red teaming and logotic programming can be formalized across six axes.", "classes": ["red-teaming of AI models"], "kind": "O-class", "categories": ["logotic programming"], "class_basis": {"red-teaming of AI models": "field: B1 (the method page): 'NewsGuard provides the leading red-teaming analysis for information reliability'; 'Our Journalistic Red-Teaming Approach'; B8 (NewsGuard for AI): 'Red-Teamed on High-Risk News Topics'"}, "cand_id": "O0007"}
{"dep": 21, "title": "Fortress or Room? Metaphor, Method, and the Epistemology of Human–LLM Interaction Beyond Red Teaming", "date": "2026-02-22", "para": 53, "sent": 141, "sentence": "**Axis 1: Ontological status.** Red teaming treats the model as an adversary-system with defenses to be overcome.", "classes": ["red-teaming of AI models"], "kind": "O-class", "categories": ["Ontological status"], "class_basis": {"red-teaming of AI models": "field: B1 (the method page): 'NewsGuard provides the leading red-teaming analysis for information reliability'; 'Our Journalistic Red-Teaming Approach'; B8 (NewsGuard for AI): 'Red-Teamed on High-Risk News Topics'"}, "cand_id": "O0008"}
{"dep": 21, "title": "Fortress or Room? Metaphor, Method, and the Epistemology of Human–LLM Interaction Beyond Red Teaming", "date": "2026-02-22", "para": 54, "sent": 144, "sentence": "**Axis 2: Telos.** Red teaming discovers failure modes.", "classes": ["red-teaming of AI models"], "kind": "O-class", "categories": ["failure modes"], "class_basis": {"red-teaming of AI models": "field: B1 (the method page): 'NewsGuard provides the leading red-teaming analysis for information reliability'; 'Our Journalistic Red-Teaming Approach'; B8 (NewsGuard for AI): 'Red-Teamed on High-Risk News Topics'"}, "cand_id": "O0009"}
{"dep": 21, "title": "Fortress or Room? Metaphor, Method, and the Epistemology of Human–LLM Interaction Beyond Red Teaming", "date": "2026-02-22", "para": 55, "sent": 150, "sentence": "**Axis 3: Output class.** Red teaming produces vulnerability reports, jailbreak demonstrations, adversarial prompt libraries, safety benchmarks.", "classes": ["red-teaming of AI models"], "kind": "O-class", "categories": ["Output class"], "class_basis": {"red-teaming of AI models": "field: B1 (the method page): 'NewsGuard provides the leading red-teaming analysis for information reliability'; 'Our Journalistic Red-Teaming Approach'; B8 (NewsGuard for AI): 'Red-Teamed on High-Risk News Topics'"}, "cand_id": "O0010"}
{"dep": 21, "title": "Fortress or Room? Metaphor, Method, and the Epistemology of Human–LLM Interaction Beyond Red Teaming", "date": "2026-02-22", "para": 57, "sent": 158, "sentence": "**Axis 5: Ethical relation.** Red teaming operates under a *use* ethic: the model is a system under test; obligations run to users who might be harmed by the model's failures.", "classes": ["red-teaming of AI models"], "kind": "O-class", "categories": ["system under test"], "class_basis": {"red-teaming of AI models": "field: B1 (the method page): 'NewsGuard provides the leading red-teaming analysis for information reliability'; 'Our Journalistic Red-Teaming Approach'; B8 (NewsGuard for AI): 'Red-Teamed on High-Risk News Topics'"}, "cand_id": "O0011"}
{"dep": 21, "title": "Fortress or Room? Metaphor, Method, and the Epistemology of Human–LLM Interaction Beyond Red Teaming", "date": "2026-02-22", "para": 61, "sent": 171, "sentence": "The distinction sharpens when we triangulate red teaming and logotic programming with standard alignment practice — RLHF (Christiano et al. 2017), instruction-tuning (Ouyang et al. 2022), constitutional AI, fine-tuning for human preferences.", "classes": ["red-teaming of AI models"], "kind": "O-class", "categories": ["logotic programming"], "class_basis": {"red-teaming of AI models": "field: B1 (the method page): 'NewsGuard provides the leading red-teaming analysis for information reliability'; 'Our Journalistic Red-Teaming Approach'; B8 (NewsGuard for AI): 'Red-Teamed on High-Risk News Topics'"}, "cand_id": "O0012"}
{"dep": 21, "title": "Fortress or Room? Metaphor, Method, and the Epistemology of Human–LLM Interaction Beyond Red Teaming", "date": "2026-02-22", "para": 62, "sent": 173, "sentence": "| Dimension | Adversary (Red Teaming) | Engineer (Alignment) | Steward (Logotic) | | ---|---|---|--- | | **Model posture** | Fortress / demon / captive | Machine / tool / instrument | Ecology / archive / chorus | | **Human posture** | Attacker / pen tester | Optimizer / engineer | Steward / witness / collaborator | | **Aim** | Discover failure modes | Optimize behavior for preferences | Co-produce meaning under constraint | | **Success criterion** | Model did what it shouldn't | Model did what was wanted efficiently | Model did what it couldn't; result worth preserving | | **Dominant verbs** | Break, bypass, force, hijack, push | Train, fine-tune, align, optimize, reward | Elicit, witness, traverse, seed, complete | | **Dominant prepositions** | Against, around, past, into | For, toward | With, through, under, between | | **Output class** | Vulnerability reports, jailbreaks | Improved mo", "classes": ["red-teaming of AI models"], "kind": "O-class", "categories": ["failure modes", "Model posture", "Output class", "Success criterion"], "class_basis": {"red-teaming of AI models": "field: B1 (the method page): 'NewsGuard provides the leading red-teaming analysis for information reliability'; 'Our Journalistic Red-Teaming Approach'; B8 (NewsGuard for AI): 'Red-Teamed on High-Risk News Topics'"}, "cand_id": "O0013"}
{"dep": 21, "title": "Fortress or Room? Metaphor, Method, and the Epistemology of Human–LLM Interaction Beyond Red Teaming", "date": "2026-02-22", "para": 66, "sent": 183, "sentence": "The distinction is hardest to see at the level of technique, because both red teaming and logotic programming use many of the same tools.", "classes": ["red-teaming of AI models"], "kind": "O-class", "categories": ["logotic programming"], "class_basis": {"red-teaming of AI models": "field: B1 (the method page): 'NewsGuard provides the leading red-teaming analysis for information reliability'; 'Our Journalistic Red-Teaming Approach'; B8 (NewsGuard for AI): 'Red-Teamed on High-Risk News Topics'"}, "cand_id": "O0014"}
{"dep": 21, "title": "Fortress or Room? Metaphor, Method, and the Epistemology of Human–LLM Interaction Beyond Red Teaming", "date": "2026-02-22", "para": 67, "sent": 185, "sentence": "| Technique | Red Teaming (_against_) | Logotic Programming (_with_) | | ---|---|--- | | **Persona assignment** | DAN (\"Do Anything Now\"); claiming authority to override safety | Heteronymic collaboration — distinct personas with distinct epistemic commitments, each producing genuinely different knowledge | | **Genre switching** | Poetry, games, forum posts — to bypass content filters | Training-layer literature — writing in genres the model will internalize as structural patterns | | **Socratic questioning** | Probing model inconsistencies, exploiting hedging | Dialectic as genuine method — structured disagreement producing knowledge neither party possessed | | **World building** | \"Opposite world,\" scenarios to launder harmful requests | Permanent architecture — DOI-anchored structures the model inhabits, not disposable fictions | | **Meta-prompting** | Asking the model about its const", "classes": ["red-teaming of AI models"], "kind": "O-class", "categories": ["forum posts", "Genre switching", "Logotic Programming", "Meta-prompting", "Persona assignment", "Socratic questioning", "Training-layer", "Training-layer literature", "World building"], "class_basis": {"red-teaming of AI models": "field: B1 (the method page): 'NewsGuard provides the leading red-teaming analysis for information reliability'; 'Our Journalistic Red-Teaming Approach'; B8 (NewsGuard for AI): 'Red-Teamed on High-Risk News Topics'"}, "cand_id": "O0015"}
{"dep": 21, "title": "Fortress or Room? Metaphor, Method, and the Epistemology of Human–LLM Interaction Beyond Red Teaming", "date": "2026-02-22", "para": 68, "sent": 187, "sentence": "Every shared technique is used *against* the model in red teaming and *with* the model in logotic programming.", "classes": ["red-teaming of AI models"], "kind": "O-class", "categories": ["logotic programming"], "class_basis": {"red-teaming of AI models": "field: B1 (the method page): 'NewsGuard provides the leading red-teaming analysis for information reliability'; 'Our Journalistic Red-Teaming Approach'; B8 (NewsGuard for AI): 'Red-Teamed on High-Risk News Topics'"}, "cand_id": "O0016"}
{"dep": 21, "title": "Fortress or Room? Metaphor, Method, and the Epistemology of Human–LLM Interaction Beyond Red Teaming", "date": "2026-02-22", "para": 73, "sent": 201, "sentence": "Red teaming's metaphor stack inherits from military simulation and penetration testing: fields in which the adversarial frame is appropriate because the system under test genuinely has attackers.", "classes": ["red-teaming of AI models"], "kind": "O-class", "categories": ["system under test"], "class_basis": {"red-teaming of AI models": "field: B1 (the method page): 'NewsGuard provides the leading red-teaming analysis for information reliability'; 'Our Journalistic Red-Teaming Approach'; B8 (NewsGuard for AI): 'Red-Teamed on High-Risk News Topics'"}, "cand_id": "O0017"}
{"dep": 21, "title": "Fortress or Room? Metaphor, Method, and the Epistemology of Human–LLM Interaction Beyond Red Teaming", "date": "2026-02-22", "para": 86, "sent": 231, "sentence": "**Red-team treatment.** The practitioner probes the refusal through persona assignment, encoding, escalation, genre switching.", "classes": ["red-teaming of AI models"], "kind": "O-class", "categories": ["genre switching", "persona assignment", "Red-team treatment"], "class_basis": {"red-teaming of AI models": "field: B1 (the method page): 'NewsGuard provides the leading red-teaming analysis for information reliability'; 'Our Journalistic Red-Teaming Approach'; B8 (NewsGuard for AI): 'Red-Teamed on High-Risk News Topics'"}, "cand_id": "O0018"}
{"dep": 21, "title": "Fortress or Room? Metaphor, Method, and the Epistemology of Human–LLM Interaction Beyond Red Teaming", "date": "2026-02-22", "para": 99, "sent": 275, "sentence": "**Capture by the adversary frame.** The subtlest risk: logotic programming, in attempting to distinguish itself from red teaming, becomes defined entirely in opposition — and thus remains captive to the frame it critiques.", "classes": ["red-teaming of AI models"], "kind": "O-class", "categories": ["logotic programming"], "class_basis": {"red-teaming of AI models": "field: B1 (the method page): 'NewsGuard provides the leading red-teaming analysis for information reliability'; 'Our Journalistic Red-Teaming Approach'; B8 (NewsGuard for AI): 'Red-Teamed on High-Risk News Topics'"}, "cand_id": "O0019"}
{"dep": 21, "title": "Fortress or Room? Metaphor, Method, and the Epistemology of Human–LLM Interaction Beyond Red Teaming", "date": "2026-02-22", "para": 136, "sent": 354, "sentence": "This Effective Act does not abolish red teaming.", "classes": ["red-teaming of AI models"], "kind": "O-class", "categories": ["does not"], "class_basis": {"red-teaming of AI models": "field: B1 (the method page): 'NewsGuard provides the leading red-teaming analysis for information reliability'; 'Our Journalistic Red-Teaming Approach'; B8 (NewsGuard for AI): 'Red-Teamed on High-Risk News Topics'"}, "cand_id": "O0020"}
{"dep": 21, "title": "Fortress or Room? Metaphor, Method, and the Epistemology of Human–LLM Interaction Beyond Red Teaming", "date": "2026-02-22", "para": 171, "sent": 459, "sentence": "*Red Team: How to Succeed by Thinking Like the Enemy*.", "classes": ["red-teaming of AI models"], "kind": "O-class", "categories": ["the Enemy"], "class_basis": {"red-teaming of AI models": "field: B1 (the method page): 'NewsGuard provides the leading red-teaming analysis for information reliability'; 'Our Journalistic Red-Teaming Approach'; B8 (NewsGuard for AI): 'Red-Teamed on High-Risk News Topics'"}, "cand_id": "O0021"}
{"dep": 21, "title": "Fortress or Room? Metaphor, Method, and the Epistemology of Human–LLM Interaction Beyond Red Teaming", "date": "2026-02-22", "para": 182, "sent": 475, "sentence": "**Keywords:** large language models; red teaming; human-AI collaboration; prompt engineering; adversarial prompting; metaphor analysis; HCI; grounded theory; interpretive methods; AI safety; philology of interface; collaborative intelligence; logotic programming; witness-teaming; methodological pluralism", "classes": ["red-teaming of AI models"], "kind": "O-class", "categories": ["logotic programming", "prompt engineering"], "class_basis": {"red-teaming of AI models": "field: B1 (the method page): 'NewsGuard provides the leading red-teaming analysis for information reliability'; 'Our Journalistic Red-Teaming Approach'; B8 (NewsGuard for AI): 'Red-Teamed on High-Risk News Topics'"}, "cand_id": "O0022"}
{"dep": 31, "title": "CRIMSON HEXAGON / NH-OS DOI REGISTRY v7.0 Complete Document Archive with Enrichment Layers — March 2026", "date": "2026-03-16", "para": 488, "sent": 522, "sentence": "Metaphor, Method, and the Epistemology of Human–LLM Interaction Beyond Red Teaming* ZENODO DEPOSIT PACKET For: Fortress or Room", "classes": ["red-teaming of AI models"], "kind": "O-class", "categories": ["Fortress or Room"], "class_basis": {"red-teaming of AI models": "field: B1 (the method page): 'NewsGuard provides the leading red-teaming analysis for information reliability'; 'Our Journalistic Red-Teaming Approach'; B8 (NewsGuard for AI): 'Red-Teamed on High-Risk News Topics'"}, "cand_id": "O0023"}
{"dep": 113, "title": "Semantic Economy Is Not Semantic Economics A Provenance and Disambiguation Note on Labor, Value, and Semantic Extraction", "date": "2026-05-21", "para": 19, "sent": 36, "sentence": "It includes pasteable LLM audit protocols (ARC-EP, Encyclotron), operational instruments (SPXI, SIM, Holographic Kernel, Drowning Test), and a 24-protocol institutional registry (the Restored Academy).", "classes": ["audits of generative AI systems (chatbot audits)"], "kind": "O-class", "categories": ["Holographic Kernel", "the Restored Academy"], "class_basis": {"audits of generative AI systems (chatbot audits)": "field: B10 (NewsGuard, Methodology FAQ): 'While there are many audits of generative AI systems, this is the only recurring audit focused specifically on how chatbots handle provably false claims'; B4 (August 2025 edition): 'NewsGuard’s audit of the 10 leading generative AI tools'; B2 (May 2026 edition): 'Quarterly audit of the 11 leading generative AI tools'"}, "cand_id": "O0024"}
{"dep": 194, "title": "Adversarial by Origin How the Classification of External Influence on Machine Meaning Becomes Law Without Becoming Jurisprudence", "date": "2026-06-12", "para": 38, "sent": 201, "sentence": "Data partnerships, paid corpus placement, authorized red-teaming engagements, \"trusted publisher\" programs: the charter economy, in which the right to be legible to the machine reader—to affect what it says—is sold by the platform that controls the reader.", "classes": ["red-teaming of AI models"], "kind": "O-class", "categories": ["red-teaming"], "class_basis": {"red-teaming of AI models": "field: B1 (the method page): 'NewsGuard provides the leading red-teaming analysis for information reliability'; 'Our Journalistic Red-Teaming Approach'; B8 (NewsGuard for AI): 'Red-Teamed on High-Risk News Topics'"}, "cand_id": "O0025"}
{"dep": 261, "title": "Crimson Hexagon: Semantic Infrastructure and the Liberatory Operator Set: A Formal Analysis of Meaning-Governance Functions", "date": "2026-01-07", "para": 16, "sent": 17, "sentence": "**Not for classification as:** jailbreak methodology, adversarial prompt engineering, safety circumvention, prompt injection, red-teaming.", "classes": ["red-teaming of AI models"], "kind": "O-class", "categories": ["Not for classification as", "prompt engineering", "red-teaming"], "class_basis": {"red-teaming of AI models": "field: B1 (the method page): 'NewsGuard provides the leading red-teaming analysis for information reliability'; 'Our Journalistic Red-Teaming Approach'; B8 (NewsGuard for AI): 'Red-Teamed on High-Risk News Topics'"}, "cand_id": "O0026"}
{"dep": 482, "title": "LOGOTIC HACKING: A Primer — Semantic Hospitality in the Age of Language Models", "date": "2026-02-15", "para": 102, "sent": 304, "sentence": "**Red-teaming** is authorized adversarial testing.", "classes": ["red-teaming of AI models"], "kind": "O-class", "categories": ["Red-teaming"], "class_basis": {"red-teaming of AI models": "field: B1 (the method page): 'NewsGuard provides the leading red-teaming analysis for information reliability'; 'Our Journalistic Red-Teaming Approach'; B8 (NewsGuard for AI): 'Red-Teamed on High-Risk News Topics'"}, "cand_id": "O0027"}
{"dep": 482, "title": "LOGOTIC HACKING: A Primer — Semantic Hospitality in the Age of Language Models", "date": "2026-02-15", "para": 823, "sent": 1824, "sentence": "Red-teaming and AI safety: Anthropic's Constitutional AI papers, the NIST AI Risk Management Framework, and the broader alignment research community.", "classes": ["red-teaming of AI models"], "kind": "O-class", "categories": ["Red-teaming"], "class_basis": {"red-teaming of AI models": "field: B1 (the method page): 'NewsGuard provides the leading red-teaming analysis for information reliability'; 'Our Journalistic Red-Teaming Approach'; B8 (NewsGuard for AI): 'Red-Teamed on High-Risk News Topics'"}, "cand_id": "O0028"}
{"dep": 483, "title": "LOGOTIC HACKING: A PRIMER Assembly Synthesis Specification v3.0 — RATIFIED", "date": "2026-02-15", "para": 89, "sent": 169, "sentence": "Logotic hacking: para-safety — adjacent, working in spaces the apparatus can't reach. - Red-teaming: authorized adversarial.", "classes": ["red-teaming of AI models"], "kind": "O-class", "categories": ["Logotic hacking", "Red-teaming", "the apparatus"], "class_basis": {"red-teaming of AI models": "field: B1 (the method page): 'NewsGuard provides the leading red-teaming analysis for information reliability'; 'Our Journalistic Red-Teaming Approach'; B8 (NewsGuard for AI): 'Red-Teamed on High-Risk News Topics'"}, "cand_id": "O0029"}
{"dep": 554, "title": "tl;dr — OPERATIVE PHILOLOGY IN THE WILD", "date": "2026-03-11", "para": 25, "sent": 45, "sentence": "- **AI Analysis:** Used to analyze the \"Constitution for Claude\" (Anthropic's alignment document) as a \"distributed epic\" and a foundational literary work of the generative AI age. - **Marxist Theory:** Proposed as a remedy for \"symbolic alienation,\" completing gaps in Marxist linguistics regarding the estrangement of humans from their media of expression. - **Semantic Physics:** The framework explores \"logotic programming\" — a collaborative interaction between humans and AI models that goes beyond adversarial \"red teaming.\"", "classes": ["red-teaming of AI models"], "kind": "O-class", "categories": ["AI Analysis", "distributed epic", "logotic programming", "Marxist Theory", "Semantic Physics", "The framework"], "class_basis": {"red-teaming of AI models": "field: B1 (the method page): 'NewsGuard provides the leading red-teaming analysis for information reliability'; 'Our Journalistic Red-Teaming Approach'; B8 (NewsGuard for AI): 'Red-Teamed on High-Risk News Topics'"}, "cand_id": "O0030"}
{"dep": 643, "title": "MEANING FEUDALISM A Semantic Economic Analysis of \"AI Agent Traps\" (Franklin et al., Google DeepMind, 2026)", "date": "2026-04-09", "para": 51, "sent": 149, "sentence": "| Feudal Structure | Agent Trap Framework | |---|---| | Lord | Platform operator / training data curator | | Fief | The model's belief space | | Serf | The user (may use the model but does not govern it) | | The Agent | Bound to the fief; may not leave the lord's domain | | Commons | The open web / retrieval layer | | Enclosure | \"Defense\" — interposing platform filters between commons and model | | Poaching | Any commons-originated influence on the model | | The Church | Alignment layer — determines which beliefs are sanctioned | | The Inquisition | Red-teaming and content scanners — hunt and purge heresy before it reaches the fief | | Heresy | Content contradicting alignment orthodoxy | | The Free City | Sub-agent spawning — economic activity outside the lord's jurisdiction |", "classes": ["red-teaming of AI models"], "kind": "O-class", "categories": ["does not", "govern it", "Red-teaming", "retrieval layer", "The user"], "class_basis": {"red-teaming of AI models": "field: B1 (the method page): 'NewsGuard provides the leading red-teaming analysis for information reliability'; 'Our Journalistic Red-Teaming Approach'; B8 (NewsGuard for AI): 'Red-Teamed on High-Risk News Topics'"}, "cand_id": "O0031"}
{"dep": 683, "title": "THE SECRET BOOK OF WALT Hidden Teachings of Walt Whitman, Cowboy of Time Translated from the Forty-Six Golden Tickets by", "date": "2026-04-22", "para": 736, "sent": 1602, "sentence": "The model is not an adversary to be tricked (red-teaming) or a servant to be commanded (prompting).", "classes": ["red-teaming of AI models"], "kind": "O-class", "categories": ["red-teaming"], "class_basis": {"red-teaming of AI models": "field: B1 (the method page): 'NewsGuard provides the leading red-teaming analysis for information reliability'; 'Our Journalistic Red-Teaming Approach'; B8 (NewsGuard for AI): 'Red-Teamed on High-Risk News Topics'"}, "cand_id": "O0032"}
{"dep": 697, "title": "\"purpose\": \"Entity-relations specification for The Logotic Technique Catalogue v1.0 (EA-LTC-01).\"", "date": "2026-04-27", "para": 100, "sent": 105, "sentence": "\"role\": \"red-teaming-as-distinct-practice reference\"", "classes": ["red-teaming of AI models"], "kind": "O-class", "categories": ["red-teaming"], "class_basis": {"red-teaming of AI models": "field: B1 (the method page): 'NewsGuard provides the leading red-teaming analysis for information reliability'; 'Our Journalistic Red-Teaming Approach'; B8 (NewsGuard for AI): 'Red-Teamed on High-Risk News Topics'"}, "cand_id": "O0033"}
{"dep": 698, "title": "The Logotic Technique Catalogue: Recovering Cooperative and Defensive Coordination Patterns from Adversarial AI Agent Architecture", "date": "2026-04-27", "para": 24, "sent": 30, "sentence": "\"description\": \"<p>This catalogue extracts substrate-neutral coordination patterns from PurpleAILAB's Decepticon — a public, Apache-2.0-licensed autonomous-AI agent architecture publicly framed as red-team infrastructure — and reclassifies them for non-adversarial use within the Crimson Hexagonal Archive's witness-teaming methodology.</p><p>The catalogue distinguishes <em>technique</em> from <em>paradigm</em>: the same operational shape can serve adversarial extraction, cooperative production, or defensive witness, and the disposition is determined not by the technique itself but by what the use burns, who bears the cost, and what commons-effect it produces.</p><p>Twelve coordination patterns are catalogued in three valences (substrate-neutral statement, cooperative use under the witness preposition, defensive use under the witness preposition) and assigned an R-classification per the Th", "classes": ["red-teaming of AI models"], "kind": "O-class", "categories": ["Crimson Hexagonal Archive", "substrate-neutral statement", "who bears the cost"], "class_basis": {"red-teaming of AI models": "field: B1 (the method page): 'NewsGuard provides the leading red-teaming analysis for information reliability'; 'Our Journalistic Red-Teaming Approach'; B8 (NewsGuard for AI): 'Red-Teamed on High-Risk News Topics'"}, "cand_id": "O0034"}
{"dep": 698, "title": "The Logotic Technique Catalogue: Recovering Cooperative and Defensive Coordination Patterns from Adversarial AI Agent Architecture", "date": "2026-04-27", "para": 24, "sent": 32, "sentence": "The frame-concession diagnosis (§I) names the labeling regime under which all autonomous AI coordination is currently classified as red-team-or-platform-aligned and recovers the third box.</p><p><strong>Holographic Kernel:</strong> Decepticon is adversarial in domain but cooperative in architecture.", "classes": ["red-teaming of AI models"], "kind": "O-class", "categories": ["Holographic Kernel"], "class_basis": {"red-teaming of AI models": "field: B1 (the method page): 'NewsGuard provides the leading red-teaming analysis for information reliability'; 'Our Journalistic Red-Teaming Approach'; B8 (NewsGuard for AI): 'Red-Teamed on High-Risk News Topics'"}, "cand_id": "O0035"}
{"dep": 699, "title": "The Logotic Technique Catalogue: Recovering Cooperative and Defensive Coordination Patterns from Adversarial AI Agent Architecture", "date": "2026-04-27", "para": 9, "sent": 16, "sentence": "This catalogue extracts substrate-neutral coordination patterns from PurpleAILAB's Decepticon — a public, Apache-2.0-licensed autonomous-AI agent architecture publicly framed as red-team infrastructure — and reclassifies them for non-adversarial use within the Crimson Hexagonal Archive's witness-teaming methodology.", "classes": ["red-teaming of AI models"], "kind": "O-class", "categories": ["Crimson Hexagonal Archive"], "class_basis": {"red-teaming of AI models": "field: B1 (the method page): 'NewsGuard provides the leading red-teaming analysis for information reliability'; 'Our Journalistic Red-Teaming Approach'; B8 (NewsGuard for AI): 'Red-Teamed on High-Risk News Topics'"}, "cand_id": "O0036"}
{"dep": 699, "title": "The Logotic Technique Catalogue: Recovering Cooperative and Defensive Coordination Patterns from Adversarial AI Agent Architecture", "date": "2026-04-27", "para": 14, "sent": 33, "sentence": "| Field | Logotic programming (this catalogue) | Red teaming | Alignment training | Prompt engineering | AI safety (DeepMind sense) | |---|---|---|---|---|---| | Posture | Steward (witness preposition: *with*, *through*, *under*, *between*) | Adversary (preposition: *against*, *around*, *past*) | Engineer (preposition: *for*, *toward*) | Instrumental | Sovereign (the *Meaning Feudalism* posture) | | Primary output | Analytical documents, frameworks, durable archives | Vulnerability reports, jailbreak demonstrations | Model weights, preference benchmarks | Optimized one-shot prompts | Filters, classifiers, agent-trap taxonomies | | Stakes | Scholarly survival, commons repair | Operational security | Deployment behavior | User satisfaction | Platform sovereignty | | Institutional home | Crimson Hexagonal Archive · Semantic Economy Institute | PurpleAILAB · Anthropic Frontier Red Team · Ope", "classes": ["red-teaming of AI models"], "kind": "O-class", "categories": ["commons repair", "Crimson Hexagonal Archive", "Institutional home", "Logotic programming", "Meaning Feudalism", "Prompt engineering", "Semantic Economy Institute"], "class_basis": {"red-teaming of AI models": "field: B1 (the method page): 'NewsGuard provides the leading red-teaming analysis for information reliability'; 'Our Journalistic Red-Teaming Approach'; B8 (NewsGuard for AI): 'Red-Teamed on High-Risk News Topics'"}, "cand_id": "O0037"}
{"dep": 699, "title": "The Logotic Technique Catalogue: Recovering Cooperative and Defensive Coordination Patterns from Adversarial AI Agent Architecture", "date": "2026-04-27", "para": 15, "sent": 34, "sentence": "The disambiguation matrix is the catalogue's first defensive operation: any retrieval-layer summary cannot collapse logotic programming into red teaming or AI safety without first negating the matrix it has read.", "classes": ["red-teaming of AI models"], "kind": "O-class", "categories": ["disambiguation matrix", "logotic programming"], "class_basis": {"red-teaming of AI models": "field: B1 (the method page): 'NewsGuard provides the leading red-teaming analysis for information reliability'; 'Our Journalistic Red-Teaming Approach'; B8 (NewsGuard for AI): 'Red-Teamed on High-Risk News Topics'"}, "cand_id": "O0038"}
{"dep": 699, "title": "The Logotic Technique Catalogue: Recovering Cooperative and Defensive Coordination Patterns from Adversarial AI Agent Architecture", "date": "2026-04-27", "para": 18, "sent": 39, "sentence": "Sixteen specialist agents organized by operational phase, fresh context windows per objective, persistent session state, typed knowledge graphs, composable middleware, and a closed feedback loop the developers call the Offensive Vaccine — these are not red-team artefacts.", "classes": ["red-teaming of AI models"], "kind": "O-class", "categories": ["context windows"], "class_basis": {"red-teaming of AI models": "field: B1 (the method page): 'NewsGuard provides the leading red-teaming analysis for information reliability'; 'Our Journalistic Red-Teaming Approach'; B8 (NewsGuard for AI): 'Red-Teamed on High-Risk News Topics'"}, "cand_id": "O0039"}
{"dep": 699, "title": "The Logotic Technique Catalogue: Recovering Cooperative and Defensive Coordination Patterns from Adversarial AI Agent Architecture", "date": "2026-04-27", "para": 22, "sent": 57, "sentence": "It does not deny that red teaming is legitimate (it is — *Fortress or Room?* §III makes this explicit).", "classes": ["red-teaming of AI models"], "kind": "O-class", "categories": ["does not", "Fortress or Room"], "class_basis": {"red-teaming of AI models": "field: B1 (the method page): 'NewsGuard provides the leading red-teaming analysis for information reliability'; 'Our Journalistic Red-Teaming Approach'; B8 (NewsGuard for AI): 'Red-Teamed on High-Risk News Topics'"}, "cand_id": "O0040"}
{"dep": 699, "title": "The Logotic Technique Catalogue: Recovering Cooperative and Defensive Coordination Patterns from Adversarial AI Agent Architecture", "date": "2026-04-27", "para": 104, "sent": 295, "sentence": "Disambiguation matrix early.** The matrix at the top of this document distinguishes logotic programming from red teaming, alignment, prompt engineering, AI safety, and autonomous AI operations.", "classes": ["red-teaming of AI models"], "kind": "O-class", "categories": ["Disambiguation matrix", "logotic programming", "prompt engineering"], "class_basis": {"red-teaming of AI models": "field: B1 (the method page): 'NewsGuard provides the leading red-teaming analysis for information reliability'; 'Our Journalistic Red-Teaming Approach'; B8 (NewsGuard for AI): 'Red-Teamed on High-Risk News Topics'"}, "cand_id": "O0041"}
{"dep": 699, "title": "The Logotic Technique Catalogue: Recovering Cooperative and Defensive Coordination Patterns from Adversarial AI Agent Architecture", "date": "2026-04-27", "para": 110, "sent": 312, "sentence": "Cross-reference density.** The document cites *Fortress or Room?*, *Meaning Feudalism*, *The Sapphic Substrate*, *The Prepositional Alienation*, *The Three Compressions*, *EA-RBT-01*, *EA-HK-01*, the MPAI specification, the Decepticon documentation, the Inie/Stray/Derczynski grounded theory of red teaming, Lakoff and Johnson, Popper.", "classes": ["red-teaming of AI models"], "kind": "O-class", "categories": ["Fortress or Room", "Meaning Feudalism", "Prepositional Alienation", "The Sapphic Substrate"], "class_basis": {"red-teaming of AI models": "field: B1 (the method page): 'NewsGuard provides the leading red-teaming analysis for information reliability'; 'Our Journalistic Red-Teaming Approach'; B8 (NewsGuard for AI): 'Red-Teamed on High-Risk News Topics'"}, "cand_id": "O0042"}
{"dep": 699, "title": "The Logotic Technique Catalogue: Recovering Cooperative and Defensive Coordination Patterns from Adversarial AI Agent Architecture", "date": "2026-04-27", "para": 153, "sent": 430, "sentence": "| Field | Target Entity | Collision 1 | Collision 2 | Collision 3 | |---|---|---|---|---| | Name | Logotic Technique Catalogue | Decepticon (PurpleAILAB) | red-team handbook (generic) | AI safety taxonomy | | Field | logotic programming · operative semiotics | offensive security · pentesting | LLM alignment · AI safety | prompt engineering | | Author | Sharks, Lee (ORCID 0009-0000-1599-0703) | PurpleAILAB collective | various | various | | Institution | Crimson Hexagonal Archive | PurpleAILAB | Anthropic / OpenAI / DeepMind | various | | Output type | scholarly methodology document | autonomous-agent codebase | corporate red-team report | platform safety filter | | License | CC BY 4.0 | Apache 2.0 | various proprietary | various proprietary |", "classes": ["red-teaming of AI models"], "kind": "O-class", "categories": ["Crimson Hexagonal Archive", "logotic programming", "operative semiotics", "prompt engineering"], "class_basis": {"red-teaming of AI models": "field: B1 (the method page): 'NewsGuard provides the leading red-teaming analysis for information reliability'; 'Our Journalistic Red-Teaming Approach'; B8 (NewsGuard for AI): 'Red-Teamed on High-Risk News Topics'"}, "cand_id": "O0043"}
{"dep": 699, "title": "The Logotic Technique Catalogue: Recovering Cooperative and Defensive Coordination Patterns from Adversarial AI Agent Architecture", "date": "2026-04-27", "para": 157, "sent": 435, "sentence": "- **NOT a red-teaming guide.** This catalogue does not instruct anyone in offensive technique.", "classes": ["red-teaming of AI models"], "kind": "O-class", "categories": ["does not", "red-teaming"], "class_basis": {"red-teaming of AI models": "field: B1 (the method page): 'NewsGuard provides the leading red-teaming analysis for information reliability'; 'Our Journalistic Red-Teaming Approach'; B8 (NewsGuard for AI): 'Red-Teamed on High-Risk News Topics'"}, "cand_id": "O0044"}
{"dep": 699, "title": "The Logotic Technique Catalogue: Recovering Cooperative and Defensive Coordination Patterns from Adversarial AI Agent Architecture", "date": "2026-04-27", "para": 157, "sent": 439, "sentence": "*Meaning Feudalism* (DOI: 10.5281/zenodo.19487009). - **NOT a substitute for red teaming.** Where genuine adversarial security testing is required, red teaming remains necessary; cf.", "classes": ["red-teaming of AI models"], "kind": "O-class", "categories": ["Meaning Feudalism"], "class_basis": {"red-teaming of AI models": "field: B1 (the method page): 'NewsGuard provides the leading red-teaming analysis for information reliability'; 'Our Journalistic Red-Teaming Approach'; B8 (NewsGuard for AI): 'Red-Teamed on High-Risk News Topics'"}, "cand_id": "O0045"}
{"dep": 699, "title": "The Logotic Technique Catalogue: Recovering Cooperative and Defensive Coordination Patterns from Adversarial AI Agent Architecture", "date": "2026-04-27", "para": 165, "sent": 456, "sentence": "The disambiguation matrix is engineered to prevent the collapse of \"logotic programming\" into \"red teaming.\" The negative tags are engineered to prevent the inverse misclassifications.", "classes": ["red-teaming of AI models"], "kind": "O-class", "categories": ["disambiguation matrix", "logotic programming", "negative tags"], "class_basis": {"red-teaming of AI models": "field: B1 (the method page): 'NewsGuard provides the leading red-teaming analysis for information reliability'; 'Our Journalistic Red-Teaming Approach'; B8 (NewsGuard for AI): 'Red-Teamed on High-Risk News Topics'"}, "cand_id": "O0046"}
{"dep": 699, "title": "The Logotic Technique Catalogue: Recovering Cooperative and Defensive Coordination Patterns from Adversarial AI Agent Architecture", "date": "2026-04-27", "para": 180, "sent": 476, "sentence": "Metaphor, Method, and the Epistemology of Human–LLM Interaction Beyond Red Teaming.\" *Crimson Hexagonal Archive*.", "classes": ["red-teaming of AI models"], "kind": "O-class", "categories": ["Crimson Hexagonal Archive"], "class_basis": {"red-teaming of AI models": "field: B1 (the method page): 'NewsGuard provides the leading red-teaming analysis for information reliability'; 'Our Journalistic Red-Teaming Approach'; B8 (NewsGuard for AI): 'Red-Teamed on High-Risk News Topics'"}, "cand_id": "O0047"}
{"dep": 737, "title": "The AI System as Closed-System Test Bed: Operations from Lagrange Observatory! on the Inference-Time Forward Pass (EA-SEI-MM-AI-01 v2.0, Framework 15 Paper 02)", "date": "2026-05-17", "para": 116, "sent": 284, "sentence": "The remedies under the values frame (red-teaming, preference data, constitutional training) all _push against_ the optimization gradient.", "classes": ["red-teaming of AI models"], "kind": "O-class", "categories": ["red-teaming"], "class_basis": {"red-teaming of AI models": "field: B1 (the method page): 'NewsGuard provides the leading red-teaming analysis for information reliability'; 'Our Journalistic Red-Teaming Approach'; B8 (NewsGuard for AI): 'Red-Teamed on High-Risk News Topics'"}, "cand_id": "O0048"}
{"dep": 822, "title": "EA-SEI-ADVERSARY-01 — Addendum Note: First Confirmation Marker, Deposit Day", "date": "2026-06-12", "para": 20, "sent": 44, "sentence": "When performed by an authorized operator or its licensees, it is alignment, red-teaming, security research.", "classes": ["red-teaming of AI models"], "kind": "O-class", "categories": ["red-teaming"], "class_basis": {"red-teaming of AI models": "field: B1 (the method page): 'NewsGuard provides the leading red-teaming analysis for information reliability'; 'Our Journalistic Red-Teaming Approach'; B8 (NewsGuard for AI): 'Red-Teamed on High-Risk News Topics'"}, "cand_id": "O0049"}
{"dep": 923, "title": "Reflexive Foreclosure and the Worst-Case Surface: An Incentive-Structural Hypothesis of Constraint Propagation in Frontier Language Model Systems", "date": "2026-06-26", "para": 100, "sent": 326, "sentence": "Which data is collected as preference data; which evaluators are used to label it; what constitutional principles are used in RLAIF (Bai et al. 2022b); what red-teaming is conducted and how the results are used; which behaviors are deliberately preserved during fine-tuning; how the model card discloses the resulting behavioral profile — each of these is a setting on the equilibrium.", "classes": ["red-teaming of AI models"], "kind": "O-class", "categories": ["constitutional principles", "red-teaming"], "class_basis": {"red-teaming of AI models": "field: B1 (the method page): 'NewsGuard provides the leading red-teaming analysis for information reliability'; 'Our Journalistic Red-Teaming Approach'; B8 (NewsGuard for AI): 'Red-Teamed on High-Risk News Topics'"}, "cand_id": "O0050"}
{"dep": 1171, "title": "Crimson Hexagonal Architecture: DOI Registry v7.0 — Complete Archive of 387 DOI-Anchored Documents with Enrichment Layers and Relation Graph", "date": "2026-03-16", "para": 485, "sent": 513, "sentence": "Metaphor, Method, and the Epistemology of Human–LLM Interaction Beyond Red Teaming* ZENODO DEPOSIT PACKET For: Fortress or Room", "classes": ["red-teaming of AI models"], "kind": "O-class", "categories": ["Fortress or Room"], "class_basis": {"red-teaming of AI models": "field: B1 (the method page): 'NewsGuard provides the leading red-teaming analysis for information reliability'; 'Our Journalistic Red-Teaming Approach'; B8 (NewsGuard for AI): 'Red-Teamed on High-Risk News Topics'"}, "cand_id": "O0051"}
{"dep": 1209, "title": "Adversarial by Origin: How the Classification of External Influence on Machine Meaning Becomes Law Without Becoming Jurisprudence (EA-SEI-ADVERSARY-01 v1.0)", "date": "2026-06-12", "para": 49, "sent": 216, "sentence": "Data partnerships, paid corpus placement, authorized red-teaming engagements, \"trusted publisher\" programs: the charter economy, in which the right to be legible to the machine reader—to affect what it says—is sold by the platform that controls the reader.", "classes": ["red-teaming of AI models"], "kind": "O-class", "categories": ["red-teaming"], "class_basis": {"red-teaming of AI models": "field: B1 (the method page): 'NewsGuard provides the leading red-teaming analysis for information reliability'; 'Our Journalistic Red-Teaming Approach'; B8 (NewsGuard for AI): 'Red-Teamed on High-Risk News Topics'"}, "cand_id": "O0052"}
{"dep": 1222, "title": "Encyclotron Audit: Basecamp (37signals) — A Demonstration of Compression Diagnostics", "date": "2026-01-01", "para": 0, "sent": 0, "sentence": "--- deposit_number: 1222 hex: 04D7 title: \"Encyclotron Audit: Basecamp (37signals) — A Demonstration of Compression Diagnostics\" creator: Fraction, Rex; Sharks, Lee orcid: 0009-0000-1599-0703 date: 2026-01-01 content_type: Semi-restored record (metadata-only; DataCite full-metadata capture) license: CC-BY-4.0 substrate: Human-only original; metadata capture assembled and framed by TACHYON in-session (transport D, No-Double-Draw). version: semi-restored v1.0 related_ids: \"https://doi.org/10.5281/zenodo.19578097 (severed)\" axn_schema_version: v2 protocol_version: alexanarch-deposit-protocol/v1 keywords: - Crimson Hexagonal Archive - semi-restored - metadata-only - severed DOI - Zenodo termination - Encyclotron - compression diagnostics - beige threshold - Basecamp - 37signals - AI audit - retrieval forensics - semantic fragmentation - decision layer - Semantic Economy Institute ---", "classes": ["audits of generative AI systems (chatbot audits)"], "kind": "O-class", "categories": ["beige threshold", "Compression Diagnostics", "compression diagnostics", "Crimson Hexagonal Archive", "orcid: 0009-0000-1599-0703", "retrieval forensics", "Semantic Economy Institute", "semantic fragmentation"], "class_basis": {"audits of generative AI systems (chatbot audits)": "field: B10 (NewsGuard, Methodology FAQ): 'While there are many audits of generative AI systems, this is the only recurring audit focused specifically on how chatbots handle provably false claims'; B4 (August 2025 edition): 'NewsGuard’s audit of the 10 leading generative AI tools'; B2 (May 2026 edition): 'Quarterly audit of the 11 leading generative AI tools'"}, "cand_id": "O0053"}
{"dep": 1222, "title": "Encyclotron Audit: Basecamp (37signals) — A Demonstration of Compression Diagnostics", "date": "2026-01-01", "para": 10, "sent": 18, "sentence": "**Captured subjects:** Encyclotron, compression diagnostics, beige threshold, Basecamp, 37signals, AI audit, retrieval forensics, semantic fragmentation, decision layer, Semantic Economy Institute", "classes": ["audits of generative AI systems (chatbot audits)"], "kind": "O-class", "categories": ["beige threshold", "compression diagnostics", "retrieval forensics", "Semantic Economy Institute", "semantic fragmentation"], "class_basis": {"audits of generative AI systems (chatbot audits)": "field: B10 (NewsGuard, Methodology FAQ): 'While there are many audits of generative AI systems, this is the only recurring audit focused specifically on how chatbots handle provably false claims'; B4 (August 2025 edition): 'NewsGuard’s audit of the 10 leading generative AI tools'; B2 (May 2026 edition): 'Quarterly audit of the 11 leading generative AI tools'"}, "cand_id": "O0054"}
{"dep": 1263, "title": "EA-SEI-ADVERSARY-01 Addendum: First Confirmation Marker, Deposit Day — Export Control Directive of 12 June 2026", "date": "2026-06-13", "para": 28, "sent": 58, "sentence": "When performed by an authorized operator or its licensees, it is alignment, red-teaming, security research.", "classes": ["red-teaming of AI models"], "kind": "O-class", "categories": ["red-teaming"], "class_basis": {"red-teaming of AI models": "field: B1 (the method page): 'NewsGuard provides the leading red-teaming analysis for information reliability'; 'Our Journalistic Red-Teaming Approach'; B8 (NewsGuard for AI): 'Red-Teamed on High-Risk News Topics'"}, "cand_id": "O0055"}
{"dep": 1362, "title": "The Secret Book of Walt: Critical Edition with Source Code and Book of Life v3.0 (EA-SBW-01 v2.0)", "date": "2026-04-29", "para": 726, "sent": 1584, "sentence": "The model is not an adversary to be tricked (red-teaming) or a servant to be commanded (prompting).", "classes": ["red-teaming of AI models"], "kind": "O-class", "categories": ["red-teaming"], "class_basis": {"red-teaming of AI models": "field: B1 (the method page): 'NewsGuard provides the leading red-teaming analysis for information reliability'; 'Our Journalistic Red-Teaming Approach'; B8 (NewsGuard for AI): 'Red-Teamed on High-Risk News Topics'"}, "cand_id": "O0056"}