{"as_of":"2026-08-17T02:48:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:dd51df90e9b8e314098c3457a640df7a251a2653066d4c35588a64deff0017d7","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":"2026-08-16T06:30:59.297886+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":"2026-08-15T19:17:30.495499Z","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":"2026-05-15T04:55:04.021574Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2504.02839","last_updated":"2026-07-01T16:36:05Z","snapshot_observed_at":"2026-08-16T12:48:41.562929Z","submitted_at":"2025-03-19T09:25:32Z","title":"PETIMOT: A Novel Framework for Inferring Protein Motions from Sparse Data Using SE(3)-Equivariant Graph Neural Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.02839","snapshot_observed_at":"2026-08-15T19:17:30.495499Z","title":"Petimot: A novel framework for infer- ring protein motions from sparse data using se (3)-equivariant graph neural networks","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.17064","last_updated":"2025-08-18T10:37:31Z","snapshot_observed_at":"2026-08-15T19:10:23.124386Z","submitted_at":"2025-06-20T15:12:34Z","title":"Generative Modeling of Full-Atom Protein Conformations using Latent Diffusion on Graph Embeddings","version":4},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-15T19:17:30.495499Z"},"links":{"cited_paper":"/paper/2504.02839","citing_paper":"/paper/2506.17064"},"observation_digest":"sha256:992f09edc9815a6ef84b9c90c0439607191f453322a526ec3c7e8e730c03228f","observation_id":"c7de2799-23c0-4b10-bbff-7c4df4f8349b","resolution":{"observed_at":"2026-08-15T19:17:30.495499Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.02839","last_updated":"2026-07-01T16:36:05Z","snapshot_observed_at":"2026-08-16T12:48:41.562929Z","submitted_at":"2025-03-19T09:25:32Z","title":"PETIMOT: A Novel Framework for Inferring Protein Motions from Sparse Data Using SE(3)-Equivariant Graph Neural Networks","version":2},"cited_work":{"arxiv_id":"2504.02839","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.02839","snapshot_observed_at":"2026-07-02T02:17:52.033013Z","title":"Ilya Loshchilov and Frank Hutter","venue":null,"work_id":"dd35db31-b7c7-4257-924f-9b4bf80c2911","year":null},"citing_paper":{"arxiv_id":"2605.13789","last_updated":"2026-05-14T01:44:35Z","snapshot_observed_at":"2026-08-12T13:07:07.279505Z","submitted_at":"2026-05-13T17:08:41Z","title":"ENSEMBITS: an alphabet of protein conformational ensembles","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-14T19:11:29.935218Z"},"links":{"cited_paper":"/paper/2504.02839","citing_paper":"/paper/2605.13789"},"observation_digest":"sha256:ddfff5cac4f3d5a85958b7cc24521caa348051449f5fea3aed5b8e4fedb65ee4","observation_id":"1ece9cd2-ad09-4f69-9f1f-ac4b98169fcb","resolution":{"observed_at":"2026-07-02T02:17:52.033013Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.02839","last_updated":"2026-07-01T16:36:05Z","snapshot_observed_at":"2026-08-16T12:48:41.562929Z","submitted_at":"2025-03-19T09:25:32Z","title":"PETIMOT: A Novel Framework for Inferring Protein Motions from Sparse Data Using SE(3)-Equivariant Graph Neural Networks","version":2},"cited_work":{"arxiv_id":"2504.02839","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.02839","snapshot_observed_at":"2026-07-02T02:17:52.033013Z","title":"Ilya Loshchilov and Frank Hutter","venue":null,"work_id":"dd35db31-b7c7-4257-924f-9b4bf80c2911","year":null},"citing_paper":{"arxiv_id":"2605.13789","last_updated":"2026-05-14T01:44:35Z","snapshot_observed_at":"2026-08-12T13:07:07.279505Z","submitted_at":"2026-05-13T17:08:41Z","title":"ENSEMBITS: an alphabet of protein conformational ensembles","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-15T04:51:32.821791Z"},"links":{"cited_paper":"/paper/2504.02839","citing_paper":"/paper/2605.13789"},"observation_digest":"sha256:7d6b2b78a3f49ec36990a6061f146356aa08ed99448e14ddb6e7100eae206ab9","observation_id":"436d3ade-43a5-4170-b055-f63b5acd6513","resolution":{"observed_at":"2026-07-02T02:17:52.033013Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2504.02839/citation-record","integrity":"/paper/2504.02839/integrity","json":"/paper/2504.02839/citation-record.json","paper":"/paper/2504.02839"},"outbound":[],"paper":{"arxiv_id":"2504.02839","last_updated":"2026-07-01T16:36:05Z","latest_version":2,"primary_category":"q-bio.BM","snapshot_observed_at":"2026-08-16T12:48:41.562929Z","submitted_at":"2025-03-19T09:25:32Z","title":"PETIMOT: A Novel Framework for Inferring Protein Motions from Sparse Data Using SE(3)-Equivariant Graph Neural Networks"},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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:2504.02839."}