{ "schema": "hermes.publications/v1", "publisher": { "name": "Hermes Labs", "url": "https://hermes-labs.ai" }, "author": { "name": "Rolando Bosch", "family_name": "Bosch", "given_name": "Rolando", "orcid": "https://orcid.org/0009-0005-4896-1112" }, "papers": [ { "slug": "asymmetric-burden-of-proof", "title": "The Asymmetric Burden of Proof: LLMs Show a Null-Result Asymmetry in a Matched-Vignette Benchmark", "short_title": "The Asymmetric Burden of Proof", "title_aliases": [], "citation_family_name": "Bosch Rodriguez", "doi": "10.5281/zenodo.18867693", "version_doi": "10.5281/zenodo.18867694", "publication_date": "2026-03-04", "publication_type": "workingpaper", "license": "CC-BY-4.0", "evidence_role": "Empirical matched-vignette study of null-result asymmetry.", "citation_key": "bosch2026asymmetric", "canonical_page": "https://hermes-labs.ai/research/the-asymmetric-burden-of-proof", "archive_repository": "https://github.com/hermes-labs-ai/the-asymmetric-burden-of-proof" }, { "slug": "epistemic-failure-taxonomy", "title": "A Taxonomy of Epistemic Failure Modes in Large Language Models", "short_title": "A Taxonomy of Epistemic Failure Modes in Large Language Models", "title_aliases": [ "A Taxonomy of Epistemic Failure Modes in LLMs" ], "citation_family_name": "Bosch Rodriguez", "doi": "10.5281/zenodo.19042468", "version_doi": "10.5281/zenodo.19042469", "publication_date": "2026-03-15", "publication_type": "preprint", "license": "CC-BY-4.0", "evidence_role": "Empirical taxonomy derived from 1,461 controlled experiments.", "citation_key": "bosch2026taxonomy", "canonical_page": "https://hermes-labs.ai/research/taxonomy-of-epistemic-failure-modes", "archive_repository": "https://github.com/hermes-labs-ai/taxonomy-of-epistemic-failure-modes" }, { "slug": "precise-records-unstable-meanings", "title": "Precise Records, Unstable Meanings: Measurement Validity and Unsupported Claims Derived from AI Agent Telemetry", "short_title": "Precise Records, Unstable Meanings", "title_aliases": [], "citation_family_name": "Bosch", "doi": "10.5281/zenodo.21652316", "version_doi": "10.5281/zenodo.21652317", "publication_date": "2026-07-30", "publication_type": "preprint", "license": "CC-BY-4.0", "evidence_role": "Empirical naturalistic audit of measurement validity in AI agent telemetry.", "citation_key": "bosch2026preciserecords", "canonical_page": "https://hermes-labs.ai/research/precise-records-unstable-meanings", "archive_repository": "https://github.com/hermes-labs-ai/precise-records-unstable-meanings" }, { "slug": "generative-horizon", "title": "The Generative Horizon: Applied Hermeneutics, Linguistic Attractors, and the Limits of Model Self-Report", "short_title": "The Generative Horizon", "title_aliases": [], "citation_family_name": "Bosch", "doi": "10.5281/zenodo.21659633", "version_doi": "10.5281/zenodo.21659634", "publication_date": "2026-07-30", "publication_type": "preprint", "license": "CC-BY-4.0", "evidence_role": "Conceptual framework for model self-report, provenance, and recursive interpretive conditioning.", "citation_key": "bosch2026generativehorizon", "canonical_page": "https://hermes-labs.ai/research/the-generative-horizon", "archive_repository": "https://github.com/hermes-labs-ai/the-generative-horizon" }, { "slug": "behavioral-canarying", "title": "Behavioral Canarying for Prompt Injection: Powerless Model Probes with Explicit Coverage Semantics", "short_title": "Behavioral Canarying for Prompt Injection", "title_aliases": [ "Little Canary" ], "citation_family_name": "Bosch", "doi": "10.5281/zenodo.21818564", "version_doi": "10.5281/zenodo.21820059", "publication_date": "2026-08-06", "publication_type": "technicalnote", "license": "CC-BY-4.0", "evidence_role": "Architecture note for an evidence-preserving prompt-injection detection interface; no aggregate accuracy claim for the current release.", "citation_key": "bosch2026behavioralcanarying", "canonical_page": "https://hermes-labs.ai/research/behavioral-canarying", "archive_repository": "https://github.com/hermes-labs-ai/little-canary" }, { "slug": "tool-differentia", "title": "Tool Differentia: Relational Static Analysis for AI Agent Tool Descriptions", "short_title": "Tool Differentia", "title_aliases": [], "citation_family_name": "Bosch", "doi": "10.5281/zenodo.21817243", "version_doi": "10.5281/zenodo.21820025", "publication_date": "2026-08-06", "publication_type": "technicalnote", "license": "CC-BY-4.0", "evidence_role": "Deterministic pre-runtime static-analysis technical note for LintLang H1.6; a clean result does not establish semantic distinguishability or runtime selection correctness.", "citation_key": "bosch2026tooldifferentia", "canonical_page": "https://hermes-labs.ai/research/tool-differentia", "archive_repository": "https://github.com/hermes-labs-ai/lintlang" } ] }