{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:WVK4WSOMYP3U3DPYVLXNDB2CDM","short_pith_number":"pith:WVK4WSOM","canonical_record":{"source":{"id":"2504.03713","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-03-28T14:18:29Z","cross_cats_sorted":["cs.AI","cs.CE"],"title_canon_sha256":"6fec59b75ebf1197901573b8f31cfd696c0cec1afe74025eb480d3288fafbc8c","abstract_canon_sha256":"bdc64a7f14a872fdfeeda1d6111a3b3c353dd59d1ecadfa0be0e631fbbda94b8"},"schema_version":"1.0"},"canonical_sha256":"b555cb49ccc3f74d8df8aaeed187421b1a75cc560f20edf4780706a32d0102f5","source":{"kind":"arxiv","id":"2504.03713","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.03713","created_at":"2026-07-05T10:44:46Z"},{"alias_kind":"arxiv_version","alias_value":"2504.03713v1","created_at":"2026-07-05T10:44:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.03713","created_at":"2026-07-05T10:44:46Z"},{"alias_kind":"pith_short_12","alias_value":"WVK4WSOMYP3U","created_at":"2026-07-05T10:44:46Z"},{"alias_kind":"pith_short_16","alias_value":"WVK4WSOMYP3U3DPY","created_at":"2026-07-05T10:44:46Z"},{"alias_kind":"pith_short_8","alias_value":"WVK4WSOM","created_at":"2026-07-05T10:44:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:WVK4WSOMYP3U3DPYVLXNDB2CDM","target":"record","payload":{"canonical_record":{"source":{"id":"2504.03713","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-03-28T14:18:29Z","cross_cats_sorted":["cs.AI","cs.CE"],"title_canon_sha256":"6fec59b75ebf1197901573b8f31cfd696c0cec1afe74025eb480d3288fafbc8c","abstract_canon_sha256":"bdc64a7f14a872fdfeeda1d6111a3b3c353dd59d1ecadfa0be0e631fbbda94b8"},"schema_version":"1.0"},"canonical_sha256":"b555cb49ccc3f74d8df8aaeed187421b1a75cc560f20edf4780706a32d0102f5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:44:46.927441Z","signature_b64":"fvve5LSu63mfOlD6VSrNKgpG7scPUKwXpBV33Qs63mpYlC3iMe4P5GI2eKOFWFl5dobo+CziRqLJv6fhK6CRDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b555cb49ccc3f74d8df8aaeed187421b1a75cc560f20edf4780706a32d0102f5","last_reissued_at":"2026-07-05T10:44:46.927005Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:44:46.927005Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2504.03713","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:44:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XStKiaAgXJlLFXTT8YPNtzrkiQ7ZUUszp8ENfW+dwujZxhdUPAGsrN26ywX6zrOJSmwVmkpv8QjzGfJAc01DDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T18:12:04.899211Z"},"content_sha256":"8ee9f3963fcfcb636c293970a0125e087b832998a4fa98ecf346009f28253c76","schema_version":"1.0","event_id":"sha256:8ee9f3963fcfcb636c293970a0125e087b832998a4fa98ecf346009f28253c76"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:WVK4WSOMYP3U3DPYVLXNDB2CDM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"RLDBF: Enhancing LLMs Via Reinforcement Learning With DataBase FeedBack","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CE"],"primary_cat":"cs.LG","authors_text":"Ji Qi, Weichen Dai, Wu Jiang, Xi Li, Xinhe Li, Yixuan Pan, Yi Zhou, Zhijie Huang, Zijie Dai","submitted_at":"2025-03-28T14:18:29Z","abstract_excerpt":"While current large language models (LLMs) demonstrate remarkable linguistic capabilities through training on massive unstructured text corpora, they remain inadequate in leveraging structured scientific data (e.g., chemical molecular properties in databases) that encapsulate centuries of accumulated scientific expertise. These structured datasets hold strategic significance for advancing AI for Science yet current approaches merely treat them as auxiliary supplements to unstructured text. This study pioneers a systematic investigation into enhancing LLMs with structured scientific data, using"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.03713","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2504.03713/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:44:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZHS2PZCKdPVBvYDXnqF7l5RziC/0kYbG/ecWXQI890Q6sQtUC4zyI7WMqXuMHg67ds5OeDkDgzbsDRHpL2x9Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T18:12:04.899602Z"},"content_sha256":"ff6b9365bc233a2e8c0de77369fdba7a8f205b5f45c46ffecd8c6f6b12d5f335","schema_version":"1.0","event_id":"sha256:ff6b9365bc233a2e8c0de77369fdba7a8f205b5f45c46ffecd8c6f6b12d5f335"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WVK4WSOMYP3U3DPYVLXNDB2CDM/bundle.json","state_url":"https://pith.science/pith/WVK4WSOMYP3U3DPYVLXNDB2CDM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WVK4WSOMYP3U3DPYVLXNDB2CDM/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-06T18:12:04Z","links":{"resolver":"https://pith.science/pith/WVK4WSOMYP3U3DPYVLXNDB2CDM","bundle":"https://pith.science/pith/WVK4WSOMYP3U3DPYVLXNDB2CDM/bundle.json","state":"https://pith.science/pith/WVK4WSOMYP3U3DPYVLXNDB2CDM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WVK4WSOMYP3U3DPYVLXNDB2CDM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:WVK4WSOMYP3U3DPYVLXNDB2CDM","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":"bdc64a7f14a872fdfeeda1d6111a3b3c353dd59d1ecadfa0be0e631fbbda94b8","cross_cats_sorted":["cs.AI","cs.CE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-03-28T14:18:29Z","title_canon_sha256":"6fec59b75ebf1197901573b8f31cfd696c0cec1afe74025eb480d3288fafbc8c"},"schema_version":"1.0","source":{"id":"2504.03713","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.03713","created_at":"2026-07-05T10:44:46Z"},{"alias_kind":"arxiv_version","alias_value":"2504.03713v1","created_at":"2026-07-05T10:44:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.03713","created_at":"2026-07-05T10:44:46Z"},{"alias_kind":"pith_short_12","alias_value":"WVK4WSOMYP3U","created_at":"2026-07-05T10:44:46Z"},{"alias_kind":"pith_short_16","alias_value":"WVK4WSOMYP3U3DPY","created_at":"2026-07-05T10:44:46Z"},{"alias_kind":"pith_short_8","alias_value":"WVK4WSOM","created_at":"2026-07-05T10:44:46Z"}],"graph_snapshots":[{"event_id":"sha256:ff6b9365bc233a2e8c0de77369fdba7a8f205b5f45c46ffecd8c6f6b12d5f335","target":"graph","created_at":"2026-07-05T10:44:46Z","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/2504.03713/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"While current large language models (LLMs) demonstrate remarkable linguistic capabilities through training on massive unstructured text corpora, they remain inadequate in leveraging structured scientific data (e.g., chemical molecular properties in databases) that encapsulate centuries of accumulated scientific expertise. These structured datasets hold strategic significance for advancing AI for Science yet current approaches merely treat them as auxiliary supplements to unstructured text. This study pioneers a systematic investigation into enhancing LLMs with structured scientific data, using","authors_text":"Ji Qi, Weichen Dai, Wu Jiang, Xi Li, Xinhe Li, Yixuan Pan, Yi Zhou, Zhijie Huang, Zijie Dai","cross_cats":["cs.AI","cs.CE"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-03-28T14:18:29Z","title":"RLDBF: Enhancing LLMs Via Reinforcement Learning With DataBase FeedBack"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.03713","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":"sha256:8ee9f3963fcfcb636c293970a0125e087b832998a4fa98ecf346009f28253c76","target":"record","created_at":"2026-07-05T10:44:46Z","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":"bdc64a7f14a872fdfeeda1d6111a3b3c353dd59d1ecadfa0be0e631fbbda94b8","cross_cats_sorted":["cs.AI","cs.CE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-03-28T14:18:29Z","title_canon_sha256":"6fec59b75ebf1197901573b8f31cfd696c0cec1afe74025eb480d3288fafbc8c"},"schema_version":"1.0","source":{"id":"2504.03713","kind":"arxiv","version":1}},"canonical_sha256":"b555cb49ccc3f74d8df8aaeed187421b1a75cc560f20edf4780706a32d0102f5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b555cb49ccc3f74d8df8aaeed187421b1a75cc560f20edf4780706a32d0102f5","first_computed_at":"2026-07-05T10:44:46.927005Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:44:46.927005Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fvve5LSu63mfOlD6VSrNKgpG7scPUKwXpBV33Qs63mpYlC3iMe4P5GI2eKOFWFl5dobo+CziRqLJv6fhK6CRDw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:44:46.927441Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.03713","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8ee9f3963fcfcb636c293970a0125e087b832998a4fa98ecf346009f28253c76","sha256:ff6b9365bc233a2e8c0de77369fdba7a8f205b5f45c46ffecd8c6f6b12d5f335"],"state_sha256":"be92fe9ef9ddd9b3a3b7d3ad50e8c0f9342befd1758e527662ad25cc1eddec42"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fMyKAdjJokJpIGkoL3uwdmgNhKaA3BMNyNirZryFXkuQoTIxSnEt/vHjCbmJWvoYsv/X3+9arqZ/1sK0pIpHDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T18:12:04.901404Z","bundle_sha256":"151afce163456c63208cbedc8d0495c5436db58fcf79c76331c093a19f393275"}}