{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:PAT2R43FQJRDQPWFLIVNJL6673","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":"686184429b852d029a7b073fc3fd2b12a295a95e6912bac8b4aa2c565e3baffa","cross_cats_sorted":["cs.CL","q-bio.QM"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-05T21:30:24Z","title_canon_sha256":"bde7d8dad326bc062ab6828180e6de30fa9ce09ca12df8a61f84a534207908e0"},"schema_version":"1.0","source":{"id":"2607.05456","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.05456","created_at":"2026-07-08T01:18:10Z"},{"alias_kind":"arxiv_version","alias_value":"2607.05456v1","created_at":"2026-07-08T01:18:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.05456","created_at":"2026-07-08T01:18:10Z"},{"alias_kind":"pith_short_12","alias_value":"PAT2R43FQJRD","created_at":"2026-07-08T01:18:10Z"},{"alias_kind":"pith_short_16","alias_value":"PAT2R43FQJRDQPWF","created_at":"2026-07-08T01:18:10Z"},{"alias_kind":"pith_short_8","alias_value":"PAT2R43F","created_at":"2026-07-08T01:18:10Z"}],"graph_snapshots":[{"event_id":"sha256:8098e40717627603a219d6a794d92b6f88ab9d6fc7008aca12b58198b94fe08a","target":"graph","created_at":"2026-07-08T01:18:10Z","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/2607.05456/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"While recent advances in large language models have enabled end-to-end automated manuscript generation, existing systems suffer from three critical deficiencies: (i) generated claims are not deterministically grounded in verifiable literature, (ii) experimental results are frequently fabricated rather than executed, and (iii) there exists no standardized, multi-dimensional framework to assess whether AI-generated manuscripts meet the quality and rigor required for real-world publication. We present Prompt-to-Paper, a multi-agent framework that directly addresses this evaluation gap through thr","authors_text":"Arsalan Shaukat, Maheera Amjad, Muhammad U.S. Khan, Ramsha Kamran, Salma Sherbaz, Zartasha Mustansar","cross_cats":["cs.CL","q-bio.QM"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-05T21:30:24Z","title":"Prompt-to-Paper: Agentic AI System for Bioinformatics"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.05456","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":"sha256:3dc2180a9fcee3ca6187f93e23c96961aca68575ac23cfd23b6aecc6347ad115","target":"record","created_at":"2026-07-08T01:18:10Z","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":"686184429b852d029a7b073fc3fd2b12a295a95e6912bac8b4aa2c565e3baffa","cross_cats_sorted":["cs.CL","q-bio.QM"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-05T21:30:24Z","title_canon_sha256":"bde7d8dad326bc062ab6828180e6de30fa9ce09ca12df8a61f84a534207908e0"},"schema_version":"1.0","source":{"id":"2607.05456","kind":"arxiv","version":1}},"canonical_sha256":"7827a8f3658262383ec55a2ad4afdefee4d30e50c603de9c27edb9de251069ab","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7827a8f3658262383ec55a2ad4afdefee4d30e50c603de9c27edb9de251069ab","first_computed_at":"2026-07-08T01:18:10.510594Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-08T01:18:10.510594Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Z7H/pUFRJd9Dq4jU9Ev2Kb9DOv+ED/NzcRpZIYuAa92TdLJy0R8A02qJHyDISyoQcUBpLRSAZ8bCOJKAXYE8Cg==","signature_status":"signed_v1","signed_at":"2026-07-08T01:18:10.511023Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.05456","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3dc2180a9fcee3ca6187f93e23c96961aca68575ac23cfd23b6aecc6347ad115","sha256:8098e40717627603a219d6a794d92b6f88ab9d6fc7008aca12b58198b94fe08a"],"state_sha256":"3ef83f27da93729d68f2f51dc8a78140076de098c7c4e859e495b7b723893011"}