{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:OFKEG6FJM6TFWQKG5MF7ME56LS","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":"70d734f5af921036f674b1a5a1475fb3c0aefef9d771bd63c7ace31104d5b510","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CE","submitted_at":"2026-03-03T23:05:41Z","title_canon_sha256":"31cc851970dfc028e86d5d5ffef58ae98e054a9b374a8bf9bcdd06abba1cc129"},"schema_version":"1.0","source":{"id":"2603.03573","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2603.03573","created_at":"2026-06-19T16:09:55Z"},{"alias_kind":"arxiv_version","alias_value":"2603.03573v2","created_at":"2026-06-19T16:09:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2603.03573","created_at":"2026-06-19T16:09:55Z"},{"alias_kind":"pith_short_12","alias_value":"OFKEG6FJM6TF","created_at":"2026-06-19T16:09:55Z"},{"alias_kind":"pith_short_16","alias_value":"OFKEG6FJM6TFWQKG","created_at":"2026-06-19T16:09:55Z"},{"alias_kind":"pith_short_8","alias_value":"OFKEG6FJ","created_at":"2026-06-19T16:09:55Z"}],"graph_snapshots":[{"event_id":"sha256:0c5e98c3c6721f21349fbd85ed8c67e0b8c3e48f6dfb9183fc5e2eb9c5c27bc6","target":"graph","created_at":"2026-06-19T16:09:55Z","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/2603.03573/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Discrete biological sequence optimization often requires goal-directed, parser-valid edits to an existing protein or molecule. Diffusion models support iterative refinement but do not expose a controllable discrete-edit interface, while autoregressive LLMs can be myopic when planning constrained edits over multiple steps. We introduce STRIDE (Sequence Trajectory Refinement via Iterative Discrete Editing), a post-training framework that trains an LLM to emit executable INSERT/DELETE/REPLACE trajectories for variable-length refinement. STRIDE first learns Levenshtein-aligned shortest-edit demons","authors_text":"Daiheng Zhang, David van Dijk, Shiyang Zhang, Sizhuang He, Syed Asad Rizvi, Yangtian Zhang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CE","submitted_at":"2026-03-03T23:05:41Z","title":"STRIDE: Post-Training LLMs to Reason and Refine Bio-Sequences via Edit Trajectories"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2603.03573","kind":"arxiv","version":2},"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":"sha256:8afe1bdc5af7032906125905a9a14d744236463e4cc56ad45c7b1d2a4c9c764a","target":"record","created_at":"2026-06-19T16:09:55Z","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":"70d734f5af921036f674b1a5a1475fb3c0aefef9d771bd63c7ace31104d5b510","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CE","submitted_at":"2026-03-03T23:05:41Z","title_canon_sha256":"31cc851970dfc028e86d5d5ffef58ae98e054a9b374a8bf9bcdd06abba1cc129"},"schema_version":"1.0","source":{"id":"2603.03573","kind":"arxiv","version":2}},"canonical_sha256":"71544378a967a65b4146eb0bf613be5cb5366dc813abe022c4c66b4e439c211c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"71544378a967a65b4146eb0bf613be5cb5366dc813abe022c4c66b4e439c211c","first_computed_at":"2026-06-19T16:09:55.858107Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-19T16:09:55.858107Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"obPTnmxfT8tKDBHc7T11/Lh1Q3HDaGDckdOBRl0RRu75ooTLSnKjNNRbO1vnguXDpYxtiMRH3C8q9ZRXMxb7CA==","signature_status":"signed_v1","signed_at":"2026-06-19T16:09:55.858496Z","signed_message":"canonical_sha256_bytes"},"source_id":"2603.03573","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8afe1bdc5af7032906125905a9a14d744236463e4cc56ad45c7b1d2a4c9c764a","sha256:0c5e98c3c6721f21349fbd85ed8c67e0b8c3e48f6dfb9183fc5e2eb9c5c27bc6"],"state_sha256":"758df3ad83660e071ac252a2a08eb924f77e35a5ace11baae1321518c12b8482"}