{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:Q3UNYMKFFICWH5HXGYYG2EJG5J","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":"8559f8206127def0e2a5fb82ac6b32c9b89790b1d14d1fb6a942de94fd9e7296","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-01T15:24:06Z","title_canon_sha256":"a4d5b0367db29986a41c7f2389422e01819b26db9cc1f8431a6ee37d81dd515e"},"schema_version":"1.0","source":{"id":"2607.01061","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.01061","created_at":"2026-07-02T01:18:27Z"},{"alias_kind":"arxiv_version","alias_value":"2607.01061v1","created_at":"2026-07-02T01:18:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.01061","created_at":"2026-07-02T01:18:27Z"},{"alias_kind":"pith_short_12","alias_value":"Q3UNYMKFFICW","created_at":"2026-07-02T01:18:27Z"},{"alias_kind":"pith_short_16","alias_value":"Q3UNYMKFFICWH5HX","created_at":"2026-07-02T01:18:27Z"},{"alias_kind":"pith_short_8","alias_value":"Q3UNYMKF","created_at":"2026-07-02T01:18:27Z"}],"graph_snapshots":[{"event_id":"sha256:546dd5fa9c0cf7e6a54029df8e4a860f7b1412c679529f686c25ec98f857a58e","target":"graph","created_at":"2026-07-02T01:18:27Z","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/2607.01061/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Computer-assisted synthesis planning breaks target molecules into accessible precursors using large libraries of reaction rules that assign each transformation a deterministic, interpretable label. But chemistry is long-tailed, making manual encoding intractable, and existing tools rely on fixed rulesets that cannot adapt to new chemistries. Here we present a fully automated pipeline in which a multi-agent framework of large language models (LLMs) classifies reactions and writes the rules themselves across 665,901 US patent reactions, generating each rule under a verification loop that tests i","authors_text":"Daniel Armstrong, Helena Avila, J\\'er\\^ome Waser, Maarten Dobbelaere, Octavian Susanu, Philippe Schwaller, Valentas Olikauskas","cross_cats":["cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-01T15:24:06Z","title":"Agentic generation of verifiable rules for deterministic, self-expanding reaction classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.01061","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":"sha256:0015f6220dc0b55fb81db2784bb2d9b38212cfad0fed293b4ff09f2d2f046fdf","target":"record","created_at":"2026-07-02T01:18:27Z","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":"8559f8206127def0e2a5fb82ac6b32c9b89790b1d14d1fb6a942de94fd9e7296","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-01T15:24:06Z","title_canon_sha256":"a4d5b0367db29986a41c7f2389422e01819b26db9cc1f8431a6ee37d81dd515e"},"schema_version":"1.0","source":{"id":"2607.01061","kind":"arxiv","version":1}},"canonical_sha256":"86e8dc31452a0563f4f736306d1126ea4edba853f177a6b7ccc9d0ab224c2263","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"86e8dc31452a0563f4f736306d1126ea4edba853f177a6b7ccc9d0ab224c2263","first_computed_at":"2026-07-02T01:18:27.671404Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-02T01:18:27.671404Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"r8Z0+D9f4LH45ZZBoxgj1lW5L2oZrHl6EecCuYV2/VUuthJ0HG3GoZJhLUeNKOCZNgbGLVpIyo2BGabNweqUDw==","signature_status":"signed_v1","signed_at":"2026-07-02T01:18:27.671786Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.01061","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0015f6220dc0b55fb81db2784bb2d9b38212cfad0fed293b4ff09f2d2f046fdf","sha256:546dd5fa9c0cf7e6a54029df8e4a860f7b1412c679529f686c25ec98f857a58e"],"state_sha256":"5cf8999029fcb3699713508e595db8c077ef6108db7fbb099c61474c0db8f8a0"}