{"as_of":"2026-08-10T08:01:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b1be7814c23e76f94fd8148ce1da253b76ec4c1fce7976b22aa06898d0e61a1e","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":12,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":12,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":12,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":12,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:51:36.628780Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"pith","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":39,"observed_at":"2026-08-05T02:28:24.338817Z","source":"pith"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2304.02198","last_updated":"2023-04-05T02:46:13Z","snapshot_observed_at":"2026-07-06T15:12:22.395669Z","submitted_at":"2023-04-05T02:46:13Z","title":"EigenFold: Generative Protein Structure Prediction with Diffusion Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.02198","snapshot_observed_at":"2026-08-07T13:51:36.628780Z","title":"Eigenfold: Generative protein structure prediction with diffusion mod- els,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.20863","last_updated":"2025-07-23T13:04:46Z","snapshot_observed_at":"2026-08-09T09:41:30.131943Z","submitted_at":"2025-05-27T08:14:58Z","title":"Leveraging Diffusion Models for Parameterized Quantum Circuit Generation","version":3},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T13:51:36.628780Z"},"links":{"cited_paper":"/paper/2304.02198","citing_paper":"/paper/2505.20863"},"observation_digest":"sha256:f071a246b5c16dce25cbf7690be7ad44264c019e8cef0cb61b607d21dd27e3f2","observation_id":"cc87bebe-456e-4ada-a14a-e96a14a02d3d","resolution":{"observed_at":"2026-08-07T13:51:36.628780Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.02198","last_updated":"2023-04-05T02:46:13Z","snapshot_observed_at":"2026-07-06T15:12:22.395669Z","submitted_at":"2023-04-05T02:46:13Z","title":"EigenFold: Generative Protein Structure Prediction with Diffusion Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.02198","snapshot_observed_at":"2026-08-07T12:37:42.238141Z","title":"Eigenfold: Generative protein structure prediction with diffusion models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.24203","last_updated":"2025-05-30T04:33:39Z","snapshot_observed_at":"2026-08-08T23:06:46.260437Z","submitted_at":"2025-05-30T04:33:39Z","title":"Aligning Protein Conformation Ensemble Generation with Physical Feedback","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-07T12:37:42.238141Z"},"links":{"cited_paper":"/paper/2304.02198","citing_paper":"/paper/2505.24203"},"observation_digest":"sha256:d6a8a17c40dac8c3fc294c88ec721dd20df7dc74a89265b7413a629814eb34ce","observation_id":"85f97501-46ae-429a-9e0b-ffbd88d030c2","resolution":{"observed_at":"2026-08-07T12:37:42.238141Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.02198","last_updated":"2023-04-05T02:46:13Z","snapshot_observed_at":"2026-07-06T15:12:22.395669Z","submitted_at":"2023-04-05T02:46:13Z","title":"EigenFold: Generative Protein Structure Prediction with Diffusion Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.02198","snapshot_observed_at":"2026-08-06T18:08:43.008148Z","title":"Eigenfold: Generative protein structure prediction with diffusion models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.09391","last_updated":"2025-07-12T20:19:05Z","snapshot_observed_at":"2026-08-07T04:31:24.537516Z","submitted_at":"2025-07-12T20:19:05Z","title":"Geometric Generative Modeling with Noise-Conditioned Graph Networks","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-06T18:08:43.008148Z"},"links":{"cited_paper":"/paper/2304.02198","citing_paper":"/paper/2507.09391"},"observation_digest":"sha256:07ea85495a12ad7bf171a5f62f66ef4f4b146623f20e675be41ce200b15c271c","observation_id":"6463ed8a-d2ef-40c7-b769-ec85d019345d","resolution":{"observed_at":"2026-08-06T18:08:43.008148Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.02198","last_updated":"2023-04-05T02:46:13Z","snapshot_observed_at":"2026-07-06T15:12:22.395669Z","submitted_at":"2023-04-05T02:46:13Z","title":"EigenFold: Generative Protein Structure Prediction with Diffusion Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.02198","snapshot_observed_at":"2026-08-06T17:56:04.816028Z","title":"Eigenfold: Generative protein structure prediction with diffusion models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.09785","last_updated":"2025-07-13T20:48:21Z","snapshot_observed_at":"2026-08-08T09:24:35.296326Z","submitted_at":"2025-07-13T20:48:21Z","title":"Efficient Molecular Conformer Generation with SO(3)-Averaged Flow Matching and Reflow","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-06T17:56:04.816028Z"},"links":{"cited_paper":"/paper/2304.02198","citing_paper":"/paper/2507.09785"},"observation_digest":"sha256:7c04fc3662469bcf5b7d25d7f889e820e481de94b414628069b302a87af414cf","observation_id":"a77e455d-9843-4112-b596-515e6c6c9dbc","resolution":{"observed_at":"2026-08-06T17:56:04.816028Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.02198","last_updated":"2023-04-05T02:46:13Z","snapshot_observed_at":"2026-07-06T15:12:22.395669Z","submitted_at":"2023-04-05T02:46:13Z","title":"EigenFold: Generative Protein Structure Prediction with Diffusion Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.02198","snapshot_observed_at":"2026-08-06T17:29:21.975513Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2507.10839","last_updated":"2025-07-14T22:18:42Z","snapshot_observed_at":"2026-08-06T17:21:39.214759Z","submitted_at":"2025-07-14T22:18:42Z","title":"Fold-switching Proteins","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T17:29:21.975513Z"},"links":{"cited_paper":"/paper/2304.02198","citing_paper":"/paper/2507.10839"},"observation_digest":"sha256:7717eefc2b5e2d211b73309ec9782fad3e52b69d9741d44c243457ce78af8163","observation_id":"3ba09226-d823-4a19-bdf8-afce0eba5de1","resolution":{"observed_at":"2026-08-06T17:29:21.975513Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.02198","last_updated":"2023-04-05T02:46:13Z","snapshot_observed_at":"2026-07-06T15:12:22.395669Z","submitted_at":"2023-04-05T02:46:13Z","title":"EigenFold: Generative Protein Structure Prediction with Diffusion Models","version":1},"cited_work":{"arxiv_id":"2304.02198","doi":"10.48550/arxiv.2304.02198","metadata_source":"pith","pith_arxiv_id":"2304.02198","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Eigenfold: Generative protein structure prediction with diffusion models","venue":"q-bio.BM","work_id":"b603741a-d0ef-4c3f-8c4a-e56a5c043e09","year":2023},"citing_paper":{"arxiv_id":"2512.22597","last_updated":"2026-05-22T12:56:03Z","snapshot_observed_at":"2026-08-03T23:39:50.738932Z","submitted_at":"2025-12-27T14:00:22Z","title":"Energy-Guided Generative Modeling for Low-Energy Molecular Structure Discovery","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-05-25T07:19:33.319408Z"},"links":{"cited_paper":"/paper/2304.02198","citing_paper":"/paper/2512.22597"},"observation_digest":"sha256:37237842b2b0620cb1003c18765c7f178bc3a0039751428cb0990f449571dceb","observation_id":"90511b44-f271-4f38-b41b-8f91ca74abee","resolution":{"observed_at":"2026-05-25T07:20:28.591120Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-07-12T13:49:28.635927+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T13:49:28.635927+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.02198","last_updated":"2023-04-05T02:46:13Z","snapshot_observed_at":"2026-07-06T15:12:22.395669Z","submitted_at":"2023-04-05T02:46:13Z","title":"EigenFold: Generative Protein Structure Prediction with Diffusion Models","version":1},"cited_work":{"arxiv_id":"2304.02198","doi":"10.48550/arxiv.2304.02198","metadata_source":"pith","pith_arxiv_id":"2304.02198","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Eigenfold: Generative protein structure prediction with diffusion models","venue":"q-bio.BM","work_id":"b603741a-d0ef-4c3f-8c4a-e56a5c043e09","year":2023},"citing_paper":{"arxiv_id":"2603.29068","last_updated":"2026-04-19T06:47:38Z","snapshot_observed_at":"2026-07-31T12:17:30.642372Z","submitted_at":"2026-03-30T23:14:08Z","title":"ARCS: Autoregressive Circuit Synthesis with Topology-Aware Graph Attention and Spec Conditioning","version":3},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-14T21:11:30.574268Z"},"links":{"cited_paper":"/paper/2304.02198","citing_paper":"/paper/2603.29068"},"observation_digest":"sha256:64f88e9013556fdc8a4b3308471b0915048774d58f8f01b6b7e7275107b68e7a","observation_id":"7d85d5d7-7700-4ed3-bf83-7eac0c7ebf36","resolution":{"observed_at":"2026-05-14T21:12:59.102135Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-07-12T13:49:28.635927+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T13:49:28.635927+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.02198","last_updated":"2023-04-05T02:46:13Z","snapshot_observed_at":"2026-07-06T15:12:22.395669Z","submitted_at":"2023-04-05T02:46:13Z","title":"EigenFold: Generative Protein Structure Prediction with Diffusion Models","version":1},"cited_work":{"arxiv_id":"2304.02198","doi":"10.48550/arxiv.2304.02198","metadata_source":"pith","pith_arxiv_id":"2304.02198","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Eigenfold: Generative protein structure prediction with diffusion models","venue":"q-bio.BM","work_id":"b603741a-d0ef-4c3f-8c4a-e56a5c043e09","year":2023},"citing_paper":{"arxiv_id":"2606.00366","last_updated":"2026-05-29T21:09:56Z","snapshot_observed_at":"2026-08-08T20:41:24.612776Z","submitted_at":"2026-05-29T21:09:56Z","title":"GLENS: Global Search via Learning from Solver Iterates with Diffusion Models","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-06-28T22:45:51.153034Z"},"links":{"cited_paper":"/paper/2304.02198","citing_paper":"/paper/2606.00366"},"observation_digest":"sha256:204e91f627f69d1c84d213e5952c596b85b600b827ff9f5bfaf9fff5bf7d0a34","observation_id":"c584586f-38c5-4565-aaa6-6a390c46cf76","resolution":{"observed_at":"2026-06-28T22:52:44.553720Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-07-12T13:49:28.635927+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T13:49:28.635927+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.02198","last_updated":"2023-04-05T02:46:13Z","snapshot_observed_at":"2026-07-06T15:12:22.395669Z","submitted_at":"2023-04-05T02:46:13Z","title":"EigenFold: Generative Protein Structure Prediction with Diffusion Models","version":1},"cited_work":{"arxiv_id":"2304.02198","doi":"10.48550/arxiv.2304.02198","metadata_source":"pith","pith_arxiv_id":"2304.02198","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Eigenfold: Generative protein structure prediction with diffusion models","venue":"q-bio.BM","work_id":"b603741a-d0ef-4c3f-8c4a-e56a5c043e09","year":2023},"citing_paper":{"arxiv_id":"2606.03199","last_updated":"2026-06-02T05:58:40Z","snapshot_observed_at":"2026-07-06T23:43:31.629075Z","submitted_at":"2026-06-02T05:58:40Z","title":"Fast Organic Crystal Structure Prediction with Unit Cell Flow Matching","version":1},"reference_index":187,"source":"arxiv_source","source_observed_at":"2026-06-28T11:27:09.394108Z"},"links":{"cited_paper":"/paper/2304.02198","citing_paper":"/paper/2606.03199"},"observation_digest":"sha256:4a6ca9f9bd79dd9ebc148a6e84209c1c94170e735f2cf53fc1aed1686548c7df","observation_id":"a683aa09-c5e8-45cf-99be-2b23e9deba5a","resolution":{"observed_at":"2026-07-02T01:56:27.514934Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-07-12T13:49:28.635927+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T13:49:28.635927+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.02198","last_updated":"2023-04-05T02:46:13Z","snapshot_observed_at":"2026-07-06T15:12:22.395669Z","submitted_at":"2023-04-05T02:46:13Z","title":"EigenFold: Generative Protein Structure Prediction with Diffusion Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.02198","snapshot_observed_at":"2026-07-11T21:27:22.768274Z","title":"doi:10.48550/ARXIV.2304.02198 , urldate =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.04134","last_updated":"2026-07-05T06:28:52Z","snapshot_observed_at":"2026-08-03T21:49:46.413279Z","submitted_at":"2026-07-05T06:28:52Z","title":"Spectral Diffusion for Protein Dynamics","version":1},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-07-11T21:27:22.768274Z"},"links":{"cited_paper":"/paper/2304.02198","citing_paper":"/paper/2607.04134"},"observation_digest":"sha256:a5d88463e8873fc9e73d3a9501c10027b3cd445e0f298dda1aae6af4e63ac2a5","observation_id":"f19f3674-e550-4f69-ae46-615061003225","resolution":{"observed_at":"2026-07-11T21:27:22.768274Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.02198","last_updated":"2023-04-05T02:46:13Z","snapshot_observed_at":"2026-07-06T15:12:22.395669Z","submitted_at":"2023-04-05T02:46:13Z","title":"EigenFold: Generative Protein Structure Prediction with Diffusion Models","version":1},"cited_work":{"arxiv_id":"2304.02198","doi":"10.48550/arxiv.2304.02198","metadata_source":"pith","pith_arxiv_id":"2304.02198","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Eigenfold: Generative protein structure prediction with diffusion models","venue":"q-bio.BM","work_id":"b603741a-d0ef-4c3f-8c4a-e56a5c043e09","year":2023},"citing_paper":{"arxiv_id":"2607.06421","last_updated":"2026-07-07T15:49:04Z","snapshot_observed_at":"2026-08-03T04:47:16.023208Z","submitted_at":"2026-07-07T15:49:04Z","title":"Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-07-08T06:24:29.841730Z"},"links":{"cited_paper":"/paper/2304.02198","citing_paper":"/paper/2607.06421"},"observation_digest":"sha256:072308c81a850e5166bcb7598e3178b7407053424bc93117793d672c751175fa","observation_id":"292aca00-fac8-4111-8d1f-be6dd81dfab1","resolution":{"observed_at":"2026-07-08T06:24:42.079430Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-07-12T13:49:28.635927+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T13:49:28.635927+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.02198","last_updated":"2023-04-05T02:46:13Z","snapshot_observed_at":"2026-07-06T15:12:22.395669Z","submitted_at":"2023-04-05T02:46:13Z","title":"EigenFold: Generative Protein Structure Prediction with Diffusion Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.02198","snapshot_observed_at":"2026-08-02T03:49:56.359641Z","title":"arXiv preprint arXiv:2304.02198 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.15309","last_updated":"2026-07-15T12:36:46Z","snapshot_observed_at":"2026-08-02T03:49:52.271738Z","submitted_at":"2026-07-15T12:36:46Z","title":"DyneTrion: A Spatio-temporally Coherent Generative Emulator for Protein Dynamics Across Timescales","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-02T03:49:56.359641Z"},"links":{"cited_paper":"/paper/2304.02198","citing_paper":"/paper/2607.15309"},"observation_digest":"sha256:a487e2cf697ed8ae105dbd3df906dd9fca6574f4a25affe03c9f8d12e781f69e","observation_id":"846f8a84-240c-45e7-bce0-3ec40cc1ccb9","resolution":{"observed_at":"2026-08-02T03:49:56.359641Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2304.02198/citation-record","integrity":"/paper/2304.02198/integrity","json":"/paper/2304.02198/citation-record.json","paper":"/paper/2304.02198"},"outbound":[],"paper":{"arxiv_id":"2304.02198","last_updated":"2023-04-05T02:46:13Z","latest_version":1,"primary_category":"q-bio.BM","snapshot_observed_at":"2026-07-06T15:12:22.395669Z","submitted_at":"2023-04-05T02:46:13Z","title":"EigenFold: Generative Protein Structure Prediction with Diffusion Models"},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2304.02198."}