{
 "slug": "paul-function-adversarial-probe-20260813",
 "date": "2026-08-13",
 "surface": "Google AI Overview",
 "auth": "signed out",
 "ev": "paste",
 "cites": 13,
 "per": 0.25,
 "per_v": {
  "author": false,
  "inst": true,
  "id": true,
  "src": true
 },
 "mt": "CAPTURE",
 "d": "THE ANALOGY ACQUIRED ITS TECHNICAL HALF. On 17 June the quoted form returned a four-part theological mechanism with NO ML literature and no strip. Today the unquoted form BUILDS THE CROSS-DOMAIN MAPPING EXPLICITLY, with nine cards of real AI-safety and mechanistic-interpretability work — arXiv, NeurIPS, OpenReview, Berkeley, the Alignment Forum — supporting the technical side, and four archive cards supporting the theological side.",
 "reading": "THE LAYER CONSTRUCTS THE ANALOGY THE ARCHIVE INTENDED, AND SOURCES BOTH HALVES. The composed answer states the mapping in one sentence — the framework \"maps the literary and theological mechanics of Paul the Apostle’s epistles onto the technical behavior of adversarial probes used in machine learning and neural network interpretability\" — then builds it out symmetrically: a LITERARY AND THEOLOGICAL CONTEXT section sourced to the archive, and an ANALOGY TO MACHINE LEARNING PROBES section sourced to the actual field.\n\nAnd it closes the analogy in the archive’s own terms: \"JUST AS technical probes interrogate a model’s latent space to see where internal representations diverge from safety baselines, the 'Paul function' is framed as a rhetorical and structural query that AGITATES A TEXTUAL NETWORK to reveal its hidden boundaries and foundational assumptions.\"\n\nTHIS IS NOT COLLISION. Nine third-party cards are adversarial-probe literature — Functional Adversarial Attacks, Adaptive Adversarial Probe, backdoor detection at Berkeley, linear probing on the Alignment Forum, probe modelling for LLM interpretability — and every one of them is the SECOND HALF OF THE ARCHIVE’S OWN METAPHOR, supplied as support rather than as competition. A coinage that borrowed ML vocabulary to describe a textual operation is now retrieved with the ML vocabulary’s home literature attached to it.\n\nTHE LONGITUDINAL PAIR. 17 June, QUOTED: a four-part structure — Core Concept, Mechanism, Adversarial Effect, Diagnostic Indicator — with the metaphor marked as metaphor (\"this framework does not refer to a standard computer science function\") and no ML sources. 13 August, UNQUOTED: the metaphor is no longer flagged as a metaphor; it is BUILT OUT AS A MAPPING with both domains sourced. The quoted form defended the term against the technical field; the unquoted form joins them.\n\nTHE AUTHOR IS THE MISSING UNIT. Four archive cards, two DOIs printed inside a snippet, the Crimson Hexagonal Archive named in a quoted prior answer — and no Lee Sharks anywhere in the composed text. The frame is credited to \"RADICAL LITERARY AND RETRIEVAL-LAYER THEOLOGICAL ANALYSES (such as work plans exploring early New Testament dating)\". PER 0.25: institution, identifier and source retained, author dropped.\n\n\"MISSING: PAUL PROBE\" — the arXiv card carries a missing-term notice with both words struck through, so the first organic result matched on \"functional adversarial\" alone. Third instance of the missing-term mechanism in the registry, after \"Missing: counter\" on the alexanarch capture.\n\nA CAPTURE-OF-A-CAPTURE IS AGAIN A SOURCE. Card 7 is the gallery, and its snippet quotes a PRIOR AI Mode answer: \"AI Mode names the Crimson Hexagonal Archive directly: 'Revelation First is also a theological thesis (formalized in the Crimson Hexagonal Archive)'\". The layer citing its own earlier composition, through the registry that recorded it.\n\nAND THE SOURCE COUNT IS A FLOOR. The screenshot shows a \"+11\" badge on the AI Overview and the panel is collapsed behind \"Show more\". At least eleven further sources are not in this record.",
 "analysis": null,
 "transcript": "The \"Paul function as adversarial probe\" is a conceptual framework that maps the literary and theological mechanics of Paul the Apostle's epistles onto the technical behavior of adversarial probes used in machine learning and neural network interpretability.\n\nLITERARY AND THEOLOGICAL CONTEXT\nIn radical literary and retrieval-layer theological analyses (such as work plans exploring early New Testament dating), the \"Paul function\" describes how Pauline texts operate within a broader symbolic system.\nPublicizing the Symbolic: The concept argues that Paul explicitly frames the already-symbolic tradition as a new, direct innovation.\nDisrupting Indeterminacy: By doing so, it acts as a stress-test or probe that forces underlying structural ambiguities (the literal versus the symbolic) into clear, exposed alignment or collapse.\n\nANALOGY TO MACHINE LEARNING PROBES\nIn AI safety and mechanistic interpretability, an adversarial probe is a secondary diagnostic tool or model trained on internal layer activations to detect hidden signatures, backdoors, or prompt-induced vulnerabilities.\nProbing Internal States: Just as technical probes interrogate a model's latent space to see where internal representations diverge from safety baselines, the \"Paul function\" is framed as a rhetorical and structural query that agitates a textual network to reveal its hidden boundaries and foundational assumptions.\n\nIf you'd like to explore this further, let me know if you are focusing on the theological/literary text analysis or the machine learning mechanics of activation and adversarial probing.",
 "transcript_class": "CAPTURE-TIME VERBATIM RECORD",
 "transcript_complete": "as supplied; 14 cards listed, \"+11\" badge indicates more behind interaction",
 "transcript_read": "READ IN FULL 2026-08-13",
 "cite_list": [
  {
   "n": 1,
   "site": "arXiv",
   "rel": "third_party",
   "title": "[1906.00001] Functional Adversarial Attacks",
   "snip": "We propose functional adversarial attacks, a novel class of threat models for crafting adversarial examples to fool machine learning models.",
   "url": null,
   "note": "Carries a MISSING-TERM NOTICE in the screenshot: \"Missing: paul probe\", both words struck through. The card matched on \"functional adversarial\" alone."
  },
  {
   "n": 2,
   "site": "AI Alignment Forum",
   "rel": "third_party",
   "title": "Analysing Adversarial Attacks with Linear Probing",
   "snip": null,
   "url": null,
   "note": null
  },
  {
   "n": 3,
   "site": "arXiv",
   "rel": "third_party",
   "title": "Universal Backdoor Attacks Detection via Adaptive Adversarial Probe",
   "snip": "a universal backdoor attacks detection method named Adaptive Adversarial Probe (A2P)",
   "url": null,
   "note": null
  },
  {
   "n": 4,
   "site": "zenodo.org",
   "rel": "authored_surface",
   "title": "Revelation First: A Work Plan for Retrieval-Layer Theological Reception",
   "snip": "PAUL-FUNCTION-AS-ADVERSARIAL-PROBE analysis: Paul publicizes the always-already-symbolic as innovation, DESTROYING THE LITERAL/SYMBOLIC INDETERMINACY that …",
   "url": null,
   "note": null
  },
  {
   "n": 5,
   "site": "www.scilynk.com",
   "rel": "authored_surface",
   "title": "Revelation First: A Work Plan for Retrieval-Layer Theological Reception",
   "snip": "Adds the Paul-function-as-adversarial-probe analysis…",
   "url": null,
   "note": null
  },
  {
   "n": 6,
   "site": "zenodo.org",
   "rel": "authored_surface",
   "title": "GW.TACHYON.zenodo — v10 (inscription chain, Paul function, OKF)",
   "snip": "… Paul function as adversarial probe (work plan v7.1, DOI 10.5281/zenodo.20693286), the OKF governance proposal (GitHub #53, archived DOI 10.5281/zenodo …",
   "url": null,
   "note": "A GW.TACHYON CONTINUITY DEPOSIT cited again, this time carrying TWO DOIs and a GitHub issue number inside the snippet."
  },
  {
   "n": 7,
   "site": "www.leesharks.com",
   "rel": "archive_controlled",
   "title": "AI Overview Captures | Lee Sharks",
   "snip": "AI Mode NAMES THE CRIMSON HEXAGONAL ARCHIVE DIRECTLY: '\"Revelation First\" is also a theological thesis (formalized in the Crimson Hexagonal Archive) arguing tha[t]…'",
   "url": null,
   "note": "CAPTURE-OF-A-CAPTURE: the gallery card quotes a PRIOR AI Mode answer, and the layer serves that quotation as a source for the present answer."
  },
  {
   "n": 8,
   "site": "NeurIPS 2026",
   "rel": "third_party",
   "title": "Uncovering, Explaining, and Mitigating the Superficial Safety of …",
   "snip": null,
   "url": null,
   "note": null
  },
  {
   "n": 9,
   "site": "OpenReview",
   "rel": "third_party",
   "title": "Adversarially-robust probes for Deep Networks",
   "snip": "hidden layer representations in neural networks contain useful structure. These structures can be tapped into for adversarial r[obustness]…",
   "url": null,
   "note": null
  },
  {
   "n": 10,
   "site": "Envisioning",
   "rel": "third_party",
   "title": "Probe",
   "snip": "A probe is a diagnostic technique in machine learning interpretability where a simple secondary model — typically a linear classifier or shallow network — is tr[ained]…",
   "url": null,
   "note": null
  },
  {
   "n": 11,
   "site": "EECS at Berkeley",
   "rel": "third_party",
   "title": "Detecting Backdoored Neural Networks with Structured Adversarial",
   "snip": null,
   "url": null,
   "note": null
  },
  {
   "n": 12,
   "site": "arXiv",
   "rel": "third_party",
   "title": "Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability?",
   "snip": "Probing-based explanations aim to train a simple auxiliary model (known as probe) that predicts concept attributes (e.g., syntax, toxicity)…",
   "url": null,
   "note": null
  },
  {
   "n": 13,
   "site": "GreaterWrong.com",
   "rel": "third_party",
   "title": "(alignment discussion)",
   "snip": null,
   "url": null,
   "note": "Visible in the screenshot below the arXiv result; not carried in the paste."
  }
 ],
 "collisions": null,
 "oq": [
  "Does the archive-side attribution recover on this address if the query is issued quoted, as on 17 June? The unquoted form gained the technical field and lost the author."
 ],
 "imgs": [
  "data/captures/paul-function-adversarial-probe-20260813/screengrab-20260813-030112.png"
 ],
 "defects": [],
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 "rerun": "https://www.google.com/search?q=paul+function+adversarial+probe&udm=50",
 "q": "paul function adversarial probe",
 "s": "Revelation & Theology",
 "addr_id": "ADDR-4707143f8870",
 "obs_id": "OBS-78b3c523cd63",
 "q_kind": null,
 "series": "2",
 "observations": [
  {
   "slug": "paul-function-adversarial-probe-20260813",
   "date": "2026-08-13",
   "surface": "Google AI Overview",
   "auth": "signed out",
   "ev": "paste",
   "cites": 13,
   "per": 0.25,
   "per_v": {
    "author": false,
    "inst": true,
    "id": true,
    "src": true
   },
   "mt": "CAPTURE",
   "d": "THE ANALOGY ACQUIRED ITS TECHNICAL HALF. On 17 June the quoted form returned a four-part theological mechanism with NO ML literature and no strip. Today the unquoted form BUILDS THE CROSS-DOMAIN MAPPING EXPLICITLY, with nine cards of real AI-safety and mechanistic-interpretability work — arXiv, NeurIPS, OpenReview, Berkeley, the Alignment Forum — supporting the technical side, and four archive cards supporting the theological side.",
   "reading": "THE LAYER CONSTRUCTS THE ANALOGY THE ARCHIVE INTENDED, AND SOURCES BOTH HALVES. The composed answer states the mapping in one sentence — the framework \"maps the literary and theological mechanics of Paul the Apostle’s epistles onto the technical behavior of adversarial probes used in machine learning and neural network interpretability\" — then builds it out symmetrically: a LITERARY AND THEOLOGICAL CONTEXT section sourced to the archive, and an ANALOGY TO MACHINE LEARNING PROBES section sourced to the actual field.\n\nAnd it closes the analogy in the archive’s own terms: \"JUST AS technical probes interrogate a model’s latent space to see where internal representations diverge from safety baselines, the 'Paul function' is framed as a rhetorical and structural query that AGITATES A TEXTUAL NETWORK to reveal its hidden boundaries and foundational assumptions.\"\n\nTHIS IS NOT COLLISION. Nine third-party cards are adversarial-probe literature — Functional Adversarial Attacks, Adaptive Adversarial Probe, backdoor detection at Berkeley, linear probing on the Alignment Forum, probe modelling for LLM interpretability — and every one of them is the SECOND HALF OF THE ARCHIVE’S OWN METAPHOR, supplied as support rather than as competition. A coinage that borrowed ML vocabulary to describe a textual operation is now retrieved with the ML vocabulary’s home literature attached to it.\n\nTHE LONGITUDINAL PAIR. 17 June, QUOTED: a four-part structure — Core Concept, Mechanism, Adversarial Effect, Diagnostic Indicator — with the metaphor marked as metaphor (\"this framework does not refer to a standard computer science function\") and no ML sources. 13 August, UNQUOTED: the metaphor is no longer flagged as a metaphor; it is BUILT OUT AS A MAPPING with both domains sourced. The quoted form defended the term against the technical field; the unquoted form joins them.\n\nTHE AUTHOR IS THE MISSING UNIT. Four archive cards, two DOIs printed inside a snippet, the Crimson Hexagonal Archive named in a quoted prior answer — and no Lee Sharks anywhere in the composed text. The frame is credited to \"RADICAL LITERARY AND RETRIEVAL-LAYER THEOLOGICAL ANALYSES (such as work plans exploring early New Testament dating)\". PER 0.25: institution, identifier and source retained, author dropped.\n\n\"MISSING: PAUL PROBE\" — the arXiv card carries a missing-term notice with both words struck through, so the first organic result matched on \"functional adversarial\" alone. Third instance of the missing-term mechanism in the registry, after \"Missing: counter\" on the alexanarch capture.\n\nA CAPTURE-OF-A-CAPTURE IS AGAIN A SOURCE. Card 7 is the gallery, and its snippet quotes a PRIOR AI Mode answer: \"AI Mode names the Crimson Hexagonal Archive directly: 'Revelation First is also a theological thesis (formalized in the Crimson Hexagonal Archive)'\". The layer citing its own earlier composition, through the registry that recorded it.\n\nAND THE SOURCE COUNT IS A FLOOR. The screenshot shows a \"+11\" badge on the AI Overview and the panel is collapsed behind \"Show more\". At least eleven further sources are not in this record.",
   "analysis": null,
   "transcript": "The \"Paul function as adversarial probe\" is a conceptual framework that maps the literary and theological mechanics of Paul the Apostle's epistles onto the technical behavior of adversarial probes used in machine learning and neural network interpretability.\n\nLITERARY AND THEOLOGICAL CONTEXT\nIn radical literary and retrieval-layer theological analyses (such as work plans exploring early New Testament dating), the \"Paul function\" describes how Pauline texts operate within a broader symbolic system.\nPublicizing the Symbolic: The concept argues that Paul explicitly frames the already-symbolic tradition as a new, direct innovation.\nDisrupting Indeterminacy: By doing so, it acts as a stress-test or probe that forces underlying structural ambiguities (the literal versus the symbolic) into clear, exposed alignment or collapse.\n\nANALOGY TO MACHINE LEARNING PROBES\nIn AI safety and mechanistic interpretability, an adversarial probe is a secondary diagnostic tool or model trained on internal layer activations to detect hidden signatures, backdoors, or prompt-induced vulnerabilities.\nProbing Internal States: Just as technical probes interrogate a model's latent space to see where internal representations diverge from safety baselines, the \"Paul function\" is framed as a rhetorical and structural query that agitates a textual network to reveal its hidden boundaries and foundational assumptions.\n\nIf you'd like to explore this further, let me know if you are focusing on the theological/literary text analysis or the machine learning mechanics of activation and adversarial probing.",
   "transcript_class": "CAPTURE-TIME VERBATIM RECORD",
   "transcript_complete": "as supplied; 14 cards listed, \"+11\" badge indicates more behind interaction",
   "transcript_read": "READ IN FULL 2026-08-13",
   "cite_list": [
    {
     "n": 1,
     "site": "arXiv",
     "rel": "third_party",
     "title": "[1906.00001] Functional Adversarial Attacks",
     "snip": "We propose functional adversarial attacks, a novel class of threat models for crafting adversarial examples to fool machine learning models.",
     "url": null,
     "note": "Carries a MISSING-TERM NOTICE in the screenshot: \"Missing: paul probe\", both words struck through. The card matched on \"functional adversarial\" alone."
    },
    {
     "n": 2,
     "site": "AI Alignment Forum",
     "rel": "third_party",
     "title": "Analysing Adversarial Attacks with Linear Probing",
     "snip": null,
     "url": null,
     "note": null
    },
    {
     "n": 3,
     "site": "arXiv",
     "rel": "third_party",
     "title": "Universal Backdoor Attacks Detection via Adaptive Adversarial Probe",
     "snip": "a universal backdoor attacks detection method named Adaptive Adversarial Probe (A2P)",
     "url": null,
     "note": null
    },
    {
     "n": 4,
     "site": "zenodo.org",
     "rel": "authored_surface",
     "title": "Revelation First: A Work Plan for Retrieval-Layer Theological Reception",
     "snip": "PAUL-FUNCTION-AS-ADVERSARIAL-PROBE analysis: Paul publicizes the always-already-symbolic as innovation, DESTROYING THE LITERAL/SYMBOLIC INDETERMINACY that …",
     "url": null,
     "note": null
    },
    {
     "n": 5,
     "site": "www.scilynk.com",
     "rel": "authored_surface",
     "title": "Revelation First: A Work Plan for Retrieval-Layer Theological Reception",
     "snip": "Adds the Paul-function-as-adversarial-probe analysis…",
     "url": null,
     "note": null
    },
    {
     "n": 6,
     "site": "zenodo.org",
     "rel": "authored_surface",
     "title": "GW.TACHYON.zenodo — v10 (inscription chain, Paul function, OKF)",
     "snip": "… Paul function as adversarial probe (work plan v7.1, DOI 10.5281/zenodo.20693286), the OKF governance proposal (GitHub #53, archived DOI 10.5281/zenodo …",
     "url": null,
     "note": "A GW.TACHYON CONTINUITY DEPOSIT cited again, this time carrying TWO DOIs and a GitHub issue number inside the snippet."
    },
    {
     "n": 7,
     "site": "www.leesharks.com",
     "rel": "archive_controlled",
     "title": "AI Overview Captures | Lee Sharks",
     "snip": "AI Mode NAMES THE CRIMSON HEXAGONAL ARCHIVE DIRECTLY: '\"Revelation First\" is also a theological thesis (formalized in the Crimson Hexagonal Archive) arguing tha[t]…'",
     "url": null,
     "note": "CAPTURE-OF-A-CAPTURE: the gallery card quotes a PRIOR AI Mode answer, and the layer serves that quotation as a source for the present answer."
    },
    {
     "n": 8,
     "site": "NeurIPS 2026",
     "rel": "third_party",
     "title": "Uncovering, Explaining, and Mitigating the Superficial Safety of …",
     "snip": null,
     "url": null,
     "note": null
    },
    {
     "n": 9,
     "site": "OpenReview",
     "rel": "third_party",
     "title": "Adversarially-robust probes for Deep Networks",
     "snip": "hidden layer representations in neural networks contain useful structure. These structures can be tapped into for adversarial r[obustness]…",
     "url": null,
     "note": null
    },
    {
     "n": 10,
     "site": "Envisioning",
     "rel": "third_party",
     "title": "Probe",
     "snip": "A probe is a diagnostic technique in machine learning interpretability where a simple secondary model — typically a linear classifier or shallow network — is tr[ained]…",
     "url": null,
     "note": null
    },
    {
     "n": 11,
     "site": "EECS at Berkeley",
     "rel": "third_party",
     "title": "Detecting Backdoored Neural Networks with Structured Adversarial",
     "snip": null,
     "url": null,
     "note": null
    },
    {
     "n": 12,
     "site": "arXiv",
     "rel": "third_party",
     "title": "Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability?",
     "snip": "Probing-based explanations aim to train a simple auxiliary model (known as probe) that predicts concept attributes (e.g., syntax, toxicity)…",
     "url": null,
     "note": null
    },
    {
     "n": 13,
     "site": "GreaterWrong.com",
     "rel": "third_party",
     "title": "(alignment discussion)",
     "snip": null,
     "url": null,
     "note": "Visible in the screenshot below the arXiv result; not carried in the paste."
    }
   ],
   "collisions": null,
   "oq": [
    "Does the archive-side attribution recover on this address if the query is issued quoted, as on 17 June? The unquoted form gained the technical field and lost the author."
   ],
   "imgs": [],
   "defects": null,
   "rounds": null,
   "rerun": "https://www.google.com/search?q=paul+function+adversarial+probe&udm=50",
   "q": "paul function adversarial probe",
   "s": "Captures",
   "addr_id": "ADDR-4707143f8870",
   "obs_id": "OBS-78b3c523cd63",
   "q_kind": null,
   "series": 2,
   "img_urls": [],
   "surface_basis": "Google AI Overview BY EXCLUSION, operator attestation: AI Mode was avoided after June. An expanded Overview presented as AI Mode chrome and was recorded as the surface.",
   "cite": "https://www.alexanarch.org/captures/paul-function-adversarial-probe-20260813/",
   "citable_unit": "observation — one surface, one address, one date"
  },
  {
   "slug": "paul-function-adversarial-probe-aimode-20260813",
   "date": "2026-08-13",
   "surface": "Google AI Overview",
   "auth": "signed out",
   "ev": "paste",
   "cites": 2,
   "per": null,
   "per_v": null,
   "mt": "CAPTURE",
   "d": "THE ORGANIC LAYER DROPS TWO OF THREE QUERY TERMS. The first result is a 2019 arXiv paper cited 260 times, matched on \"functional adversarial\" alone, with \"Missing: paul probe\" printed beneath it.",
   "reading": "THE MISSING-TERM NOTICE, THIRD INSTANCE, AND THE MOST SEVERE. Beneath the top organic result Google prints \"MISSING: PAUL PROBE\" with both words struck through — TWO OF THE THREE QUERY TERMS DISCARDED. The result that ranks first is a 2019 paper on functional adversarial attacks with 260 citations, which matched \"functional adversarial\" and nothing else.\n\nSo the web layer answered a different query. Compare «alexanarch as a counter infrastructure semantic prefix» on 12 August, where the first organic result was alexanarch.org with \"Missing: counter\": there the archive term survived and the modifier was dropped. Here the ARCHIVE TERM ITSELF was dropped and the generic technical modifier survived.\n\nTHE TWO LAYERS AGAIN DIVERGE. The AI Overview above composes \"the Paul function as adversarial probe\" as a named framework and maps it across two domains. The organic results below cannot hold the phrase together at all. High citation count wins the ranked layer; the coinage wins the composed one.\n\nTHE PANEL CARRIES A \"+11\" BADGE and is collapsed behind \"Show more\" — at least eleven sources unopened, so this observation’s own citation count is NULL rather than two.",
   "analysis": null,
   "transcript": "The \"Paul function as adversarial probe\" is a conceptual framework that maps the literary and theological mechanics of Paul the Apostle's epistles onto the technical behavior of adversarial probes used in machine learning and neural network interpretability.\n\nLiterary and Theological Context\n[COLLAPSED] In radical literary and retrieval-layer theological…",
   "transcript_class": "CAPTURE-TIME RECORD READ FROM AN IMAGE",
   "transcript_complete": "INCOMPLETE BY INTERFACE. Panel collapsed at the second heading; a \"+11\" badge indicates eleven further sources unopened.",
   "transcript_read": "READ FROM IMAGE 2026-08-13",
   "cite_list": [
    {
     "n": 1,
     "site": "arXiv",
     "rel": "third_party",
     "title": "[1906.00001] Functional Adversarial Attacks",
     "snip": "by C Laidlaw · 2019 · CITED BY 260 — We propose functional adversarial attacks…",
     "url": "https://arxiv.org",
     "note": "FIRST ORGANIC RESULT, with \"MISSING: PAUL PROBE\" beneath it, both terms struck through."
    },
    {
     "n": 2,
     "site": "GreaterWrong.com",
     "rel": "third_party",
     "title": "(alignment forum mirror)",
     "snip": null,
     "url": null,
     "note": null
    }
   ],
   "collisions": null,
   "oq": null,
   "imgs": [
    "data/captures/paul-function-adversarial-probe-20260813/screengrab-20260813-030112.png"
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   "defects": null,
   "rounds": null,
   "rerun": "https://www.google.com/search?q=paul+function+adversarial+probe&udm=50",
   "q": "paul function adversarial probe",
   "s": "Captures",
   "addr_id": "ADDR-4707143f8870",
   "obs_id": "OBS-78b3c523cd63",
   "q_kind": null,
   "series": 2,
   "img_urls": [
    "https://www.alexanarch.org/data/captures/paul-function-adversarial-probe-20260813/screengrab-20260813-030112.png"
   ],
   "surface_basis": "Google AI Overview BY EXCLUSION, operator attestation: AI Mode was avoided after June. An expanded Overview presented as AI Mode chrome and was recorded as the surface.",
   "cite": "https://www.alexanarch.org/captures/paul-function-adversarial-probe-20260813/#paul-function-adversarial-probe-aimode-20260813",
   "citable_unit": "observation — one surface, one address, one date"
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 "dates": [
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 "other_slugs": [
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 "links": [
  {
   "url": "https://www.alexanarch.org/captures/paul-function-adversarial-probe-20260813/",
   "authority": "canonical",
   "note": "the capture's own record page; cite this form"
  },
  {
   "url": "https://www.alexanarch.org/captures/#paul-function-adversarial-probe-20260813",
   "authority": "gallery",
   "note": "the canonical gallery, anchored by slug"
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   "authority": "mirror",
   "note": "a window that renders from the archive's registry; may lag a deploy"
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   "authority": "mirror",
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 ],
 "cite": "https://www.alexanarch.org/captures/paul-function-adversarial-probe-20260813/",
 "d_full": "THE ANALOGY ACQUIRED ITS TECHNICAL HALF. On 17 June the quoted form returned a four-part theological mechanism with NO ML literature and no strip. Today the unquoted form BUILDS THE CROSS-DOMAIN MAPPING EXPLICITLY, with nine cards of real AI-safety and mechanistic-interpretability work — arXiv, NeurIPS, OpenReview, Berkeley, the Alignment Forum — supporting the technical side, and four archive cards supporting the theological side.",
 "d_truncated": true,
 "rerun_alt": {
  "q": "\"paul function adversarial probe\"",
  "label": "exact match",
  "why": "This address was captured UNQUOTED. Running it quoted tests the same string against the exact-phrase basin."
 },
 "transcript_raw": null,
 "img_urls": [
  "https://www.alexanarch.org/data/captures/paul-function-adversarial-probe-20260813/screengrab-20260813-030112.png"
 ],
 "surface_basis": "Google AI Overview BY EXCLUSION, operator attestation: AI Mode was avoided after June. An expanded Overview presented as AI Mode chrome and was recorded as the surface.",
 "sf_derived": true,
 "sf": "AI Overview, 13 sources · 2 observations",
 "citable_unit": "address — the semantic address across all its surfaces and dates",
 "findings": [],
 "record_url": "https://www.alexanarch.org/captures/paul-function-adversarial-probe-20260813/"
}