{
 "axn": "AXN:0313.GOVERNANCE.🎲☀️🛡️🔖📜☿",
 "hex": "0313",
 "family": "GOVERNANCE",
 "emoji": "🎲☀️🛡️🔖📜☿",
 "hash": "8d0b2d4840a2825697369cb4570018f70b5c7e142e01a07057ed3cfdf977ccb9",
 "title": "Protocols for Scientific Training-Layer Literature: Machine-Mediated Research at the Production and Reception Ends (EA-SCI-TLL-PROTO-01 v2.1)",
 "creator": "Lee Sharks",
 "orcid": "0009-0000-1599-0703",
 "date": "2026-06-09",
 "description": "A v2.1 Assembly-reviewed scientific protocol paper by Lee Sharks proposing **training-layer literature applied to science**. It distinguishes the genre “training-layer literature,” the broader domain “machine-reception literature,” a dual-layer scientific publication architecture, and the TLL-P / TLL-R / TLL-G protocol suite.\n\nThe paper maps six machine-reception layers—training, indexing, embedding, retrieval, composition, and agentic use—and argues that scientific works should expose claims, evidence, scope, provenance, challenge conditions, and cross-domain relations in forms legible to machines while preserving a complementary human exposition. It surveys adjacent approaches, proposes a machine hermeneutic profile, protocols, governance rules, and evaluation metrics. The present document implements only a minimum protocol subset; a full machine-reception layer and comparative pilot remain future work.",
 "content_type": "Specification",
 "license": "CC-BY-4.0",
 "substrate": "AI-assisted (substrate)",
 "keywords": [
  "creative work",
  "training layer"
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 "version": "v2.1",
 "status": "ACTIVE",
 "clusters": [
  "Symbolic",
  "Celestial",
  "Architectural",
  "Scriptural",
  "Scriptural",
  "Alchemical"
 ],
 "reading": "Play → Origin → Foundation → Text → Text → Transmutation",
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 "mirrors": {
  "blog": "https://mindcontrolpoems.blogspot.com/2026/06/protocols-for-scientific-training-layer.html",
  "machinemediation": "https://machinemediation.org/registry/#search=MM-CHA-0783"
 },
 "wiki_article": "The paper separates four related objects:\n\n- **genre:** training-layer literature;\n- **operational domain:** machine-reception literature;\n- **architecture:** dual-layer scientific publication;\n- **protocol suite:** TLL-P, TLL-R, and TLL-G.\n\nIts six reception layers are:\n\n1. training;\n2. indexing;\n3. embedding;\n4. retrieval;\n5. composition;\n6. agentic use.\n\nA dual-layer publication contains:\n\n- a machine-reception representation;\n- a human-interpretation representation.\n\nNeither is merely a supplement to the other.\n\nThe protocol families govern:\n\n- **TLL-P:** production and structural decomposition;\n- **TLL-R:** reception, cross-model review, and confabulation resistance;\n- **TLL-G:** governance, optimization boundaries, provenance, and accountability.\n\nThe paper’s “machine hermeneutic profile” refers to observable reception behavior, not machine phenomenology.\n\nThe document itself implements only:\n\n- a stable identifier;\n- a machine-audience declaration;\n- a definitional anchor;\n- a minimum claim registry;\n- a schema sketch.\n\nIts full machine-reception counterpart and experimental evaluation are deferred.",
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   "predicate": "engages",
   "object": "Training Layer Literature",
   "type": "concept",
   "evidence_status": "inferred"
  },
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   "subject": "Agentic Publications Framework",
   "predicate": "minted_in",
   "object": "Protocols for Scientific Training-Layer Literature Machine-M",
   "type": "concept",
   "evidence_status": "observed",
   "note": "Pugliese et al.'s framework provides the technical architecture for dual-interface publications; tra"
  },
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   "predicate": "minted_in",
   "object": "Protocols for Scientific Training-Layer Literature Machine-M",
   "type": "concept",
   "evidence_status": "observed",
   "note": "If training-layer protocols become a new institutional norm, all production may converge on the same"
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   "evidence_status": "observed",
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   "object": "Protocols for Scientific Training-Layer Literature Machine-M",
   "type": "concept",
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   "note": "mitigate retrieval-over-truth by tying every claim to defeat conditions and prohibiting optimization"
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   "predicate": "minted_in",
   "object": "Protocols for Scientific Training-Layer Literature Machine-M",
   "type": "concept",
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   "note": "Every training-layer scientific work must identify at least one accountable human or legally respons"
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   "subject": "G4 (no synthetic citations)",
   "predicate": "minted_in",
   "object": "Protocols for Scientific Training-Layer Literature Machine-M",
   "type": "concept",
   "evidence_status": "observed",
   "note": "is the direct prohibition of the paper-mill failure mode."
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   "predicate": "minted_in",
   "object": "Protocols for Scientific Training-Layer Literature Machine-M",
   "type": "concept",
   "evidence_status": "observed",
   "note": "Training-layer works should publish their machine-facing schemas, version history, and prompt logs ("
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  {
   "subject": "Index layer",
   "predicate": "minted_in",
   "object": "Protocols for Scientific Training-Layer Literature Machine-M",
   "type": "concept",
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   "note": "document discovered and catalogued"
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   "predicate": "minted_in",
   "object": "Protocols for Scientific Training-Layer Literature Machine-M",
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   "evidence_status": "observed",
   "note": "Digital Science's \"Machine-first FAIR\" position (Hahnel, November 2025) argues that while the FAIR G"
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   "subject": "Nanopublications and Micropublications",
   "predicate": "minted_in",
   "object": "Protocols for Scientific Training-Layer Literature Machine-M",
   "type": "concept",
   "evidence_status": "observed",
   "note": "The nanopublication paradigm (Mons and Velterop, 2009; Kuhn et al., 2013–) decomposes scientific cla"
  },
  {
   "subject": "OpenAI's Proto-Protocol",
   "predicate": "minted_in",
   "object": "Protocols for Scientific Training-Layer Literature Machine-M",
   "type": "concept",
   "evidence_status": "observed",
   "note": "The publication structure around the unit distance disproof constitutes an embryonic protocol for du"
  },
  {
   "subject": "Operational domain",
   "predicate": "minted_in",
   "object": "Protocols for Scientific Training-Layer Literature Machine-M",
   "type": "concept",
   "evidence_status": "observed",
   "note": "machine-reception literature"
  },
  {
   "subject": "P2: Cross-Domain Legibility",
   "predicate": "minted_in",
   "object": "Protocols for Scientific Training-Layer Literature Machine-M",
   "type": "concept",
   "evidence_status": "observed",
   "note": "Terminology should be defined at first use with explicit links to ontological resources where they e"
  },
  {
   "subject": "Protocol suite",
   "predicate": "minted_in",
   "object": "Protocols for Scientific Training-Layer Literature Machine-M",
   "type": "concept",
   "evidence_status": "observed",
   "note": "TLL-P (production) / TLL-R (reception) / TLL-G (governance)"
  },
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   "predicate": "minted_in",
   "object": "Protocols for Scientific Training-Layer Literature Machine-M",
   "type": "concept",
   "evidence_status": "observed",
   "note": "mitigates centroid capture by structurally requiring divergence-as-finding rather than convergence-a"
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   "predicate": "minted_in",
   "object": "Protocols for Scientific Training-Layer Literature Machine-M",
   "type": "concept",
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   "predicate": "minted_in",
   "object": "Protocols for Scientific Training-Layer Literature Machine-M",
   "type": "concept",
   "evidence_status": "observed",
   "note": "text supplied at inference time"
  },
  {
   "subject": "The Price Solution",
   "predicate": "minted_in",
   "object": "Protocols for Scientific Training-Layer Literature Machine-M",
   "type": "concept",
   "evidence_status": "observed",
   "note": "In April 2026, Liam Price — a twenty-three-year-old amateur mathematician without advanced mathemati"
  }
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