{"as_of":"2026-08-17T08:23:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b2462902c524dcdc0c1a5e42c7141bfa03ca709337befd8a341555a39f492605","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T10:55:16.516639Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-11T16:36:09.995110Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2409.14106","last_updated":"2025-05-30T14:53:06Z","snapshot_observed_at":"2026-08-16T13:16:39.574666Z","submitted_at":"2024-09-21T11:19:15Z","title":"Advancing Molecular Graph-Text Pre-training via Fine-grained Alignment","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.14106","snapshot_observed_at":"2026-08-08T10:55:16.516639Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08092","last_updated":"2025-06-02T14:02:08Z","snapshot_observed_at":"2026-08-14T01:54:42.611708Z","submitted_at":"2025-02-12T03:33:06Z","title":"GCoT: Chain-of-Thought Prompt Learning for Graphs","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-08T10:55:16.516639Z"},"links":{"cited_paper":"/paper/2409.14106","citing_paper":"/paper/2502.08092"},"observation_digest":"sha256:199c8b6bc0eca604e479f0b66f1bafbdf8c6c98361eede3dd0aa5515ff7788c1","observation_id":"d5e88769-eb75-43a2-a593-498b80106813","resolution":{"observed_at":"2026-08-08T10:55:16.516639Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.14106","last_updated":"2025-05-30T14:53:06Z","snapshot_observed_at":"2026-08-16T13:16:39.574666Z","submitted_at":"2024-09-21T11:19:15Z","title":"Advancing Molecular Graph-Text Pre-training via Fine-grained Alignment","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.14106","snapshot_observed_at":"2026-08-02T19:54:22.501502Z","title":"Li, et al., Advancing molecular graph-text pre-training via fine-grained alignment, arXiv preprint arXiv:2409.14106 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2603.00857","last_updated":"2026-05-24T23:20:38Z","snapshot_observed_at":"2026-08-14T06:55:20.828482Z","submitted_at":"2026-03-01T01:18:42Z","title":"MultiPUFFIN: A Multimodal Domain-Constrained Foundation Model for Molecular Property Prediction of Small Molecules","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-02T19:54:22.501502Z"},"links":{"cited_paper":"/paper/2409.14106","citing_paper":"/paper/2603.00857"},"observation_digest":"sha256:a0551bc43f4a2dc4a25279a19f11f21e812cc330d458e6045df8406ea2129d46","observation_id":"03fe21ea-be3d-4df4-b1e0-d81227b3030c","resolution":{"observed_at":"2026-08-02T19:54:22.501502Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.14106","last_updated":"2025-05-30T14:53:06Z","snapshot_observed_at":"2026-08-16T13:16:39.574666Z","submitted_at":"2024-09-21T11:19:15Z","title":"Advancing Molecular Graph-Text Pre-training via Fine-grained Alignment","version":5},"cited_work":{"arxiv_id":"2409.14106","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.14106","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Advancing molecular graph-text pre-training via fine-grained alignment","venue":null,"work_id":"aa0d4f89-223f-4ccd-96d1-080fbbdf9479","year":2025},"citing_paper":{"arxiv_id":"2605.02745","last_updated":"2026-05-04T15:46:39Z","snapshot_observed_at":"2026-08-15T06:59:43.376109Z","submitted_at":"2026-05-04T15:46:39Z","title":"Bolek: A Multimodal Language Model for Molecular Reasoning","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-09T15:43:50.975370Z"},"links":{"cited_paper":"/paper/2409.14106","citing_paper":"/paper/2605.02745"},"observation_digest":"sha256:0a8e176c5cb98ecc96650217ade447e746e1fd66e74d26c03e0d80e43a6519d2","observation_id":"ccd08d67-6669-4adf-8efa-edc9d9a4c8b1","resolution":{"observed_at":"2026-05-11T16:36:10.000333Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2409.14106/citation-record","integrity":"/paper/2409.14106/integrity","json":"/paper/2409.14106/citation-record.json","paper":"/paper/2409.14106"},"outbound":[],"paper":{"arxiv_id":"2409.14106","last_updated":"2025-05-30T14:53:06Z","latest_version":5,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-16T13:16:39.574666Z","submitted_at":"2024-09-21T11:19:15Z","title":"Advancing Molecular Graph-Text Pre-training via Fine-grained Alignment"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.14106."}