{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:YUZIADAO3FAJXUVQCTHYCCBOAE","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"bc269a5465b0aff34213783f4beeb172d4fb0356ab4982ec7750a26e744d3ddf","cross_cats_sorted":["cs.CY"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-02T19:19:52Z","title_canon_sha256":"6da63495a69421e2810c560475a0e8f18a3a40c7d003c2fdc1d1d68ea4295b95"},"schema_version":"1.0","source":{"id":"2606.04152","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.04152","created_at":"2026-06-04T00:06:52Z"},{"alias_kind":"arxiv_version","alias_value":"2606.04152v1","created_at":"2026-06-04T00:06:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.04152","created_at":"2026-06-04T00:06:52Z"},{"alias_kind":"pith_short_12","alias_value":"YUZIADAO3FAJ","created_at":"2026-06-04T00:06:52Z"},{"alias_kind":"pith_short_16","alias_value":"YUZIADAO3FAJXUVQ","created_at":"2026-06-04T00:06:52Z"},{"alias_kind":"pith_short_8","alias_value":"YUZIADAO","created_at":"2026-06-04T00:06:52Z"}],"graph_snapshots":[{"event_id":"sha256:6d80a73f0fdf76735e90a6e38cbe0ebb8fd1eaca92b2968b7010a5d3fb6872a3","target":"graph","created_at":"2026-06-04T00:06:52Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2606.04152/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models are reshaping research practice while quietly eroding researchers epistemic accountability. This commentary introduces PEEL - Protocols for Epistemically Engaged Literacy in AI, a working scaffolding that combines deterministic distant reading via Voyant Tools with LLM interpretation via Claude, grounded in Peircean semiotics and abductive reasoning. Applied to AI-generated condensations of three source texts, PEEL reveals systematic distortions in quantity, term frequency, and epistemic voice that are invisible without non-AI measurement -- and yields three design implic","authors_text":"B\\'arbara Betts, Clarisse de Souza, Gabriel Barbosa, Juliana Jansen Ferreira, Renato Cerqueira, Simone Diniz Junqueira Barbosa","cross_cats":["cs.CY"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-02T19:19:52Z","title":"Thinking Through Signs: PEEL as a Semiotic Scaffolding for Epistemically Accountable AI-Enabled Research"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.04152","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:1796493b53a7100957bd65085b14a5f4285ae9c658ae3d02929bc890cca5f659","target":"record","created_at":"2026-06-04T00:06:52Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"bc269a5465b0aff34213783f4beeb172d4fb0356ab4982ec7750a26e744d3ddf","cross_cats_sorted":["cs.CY"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-02T19:19:52Z","title_canon_sha256":"6da63495a69421e2810c560475a0e8f18a3a40c7d003c2fdc1d1d68ea4295b95"},"schema_version":"1.0","source":{"id":"2606.04152","kind":"arxiv","version":1}},"canonical_sha256":"c532800c0ed9409bd2b014cf81082e01121dbd3e2e316779be9c1e4cffbe97ff","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c532800c0ed9409bd2b014cf81082e01121dbd3e2e316779be9c1e4cffbe97ff","first_computed_at":"2026-06-04T00:06:52.076026Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-04T00:06:52.076026Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WVZJ7OuLCAq97zWMXf2unANR/Obru5As/zx6z9kyRjifFDPgcgib5F8MNzrR6oRsnarwwXZaC9t/ZFG0Ni+BDw==","signature_status":"signed_v1","signed_at":"2026-06-04T00:06:52.076405Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.04152","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1796493b53a7100957bd65085b14a5f4285ae9c658ae3d02929bc890cca5f659","sha256:6d80a73f0fdf76735e90a6e38cbe0ebb8fd1eaca92b2968b7010a5d3fb6872a3"],"state_sha256":"4ab567e56b7286a2d100cab1d85d2bc5252987e5cbe71932a0076ede08bc44ac"}