{"as_of":"2026-08-10T16:17:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7efb7de8753490400de1b6b1a149897bf0615e824ae925598e7570fb7abae6e9","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":"2026-08-10T06:31:04.303077+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":"2026-08-03T14:52:30.967079Z","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":"2026-07-03T01:27:31.392790Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2408.11681","last_updated":"2024-08-21T15:01:51Z","snapshot_observed_at":"2026-08-07T13:45:09.266359Z","submitted_at":"2024-08-21T15:01:51Z","title":"Variational autoencoder inverse mapper for extraction of Compton form factors: Benchmarks and conditional learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.11681","snapshot_observed_at":"2026-08-03T14:52:30.967079Z","title":"Hossen et al","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2512.19145","last_updated":"2026-05-23T09:09:08Z","snapshot_observed_at":"2026-08-06T13:08:36.906591Z","submitted_at":"2025-12-22T08:44:09Z","title":"Assessing the impact of the electron ion collider in China on Deeply Virtual Compton Scattering","version":2},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-03T14:52:30.967079Z"},"links":{"cited_paper":"/paper/2408.11681","citing_paper":"/paper/2512.19145"},"observation_digest":"sha256:bb97e8601dd648217c817cbe2706357fefc1cc7f53a888d4a8a158da7832f67e","observation_id":"31794363-cf64-46fc-b3dd-a4245d0a61db","resolution":{"observed_at":"2026-08-03T14:52:30.967079Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.11681","last_updated":"2024-08-21T15:01:51Z","snapshot_observed_at":"2026-08-07T13:45:09.266359Z","submitted_at":"2024-08-21T15:01:51Z","title":"Variational autoencoder inverse mapper for extraction of Compton form factors: Benchmarks and conditional learning","version":1},"cited_work":{"arxiv_id":"2408.11681","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2408.11681","snapshot_observed_at":"2026-07-03T01:27:31.392790Z","title":"Hossen, D","venue":null,"work_id":"db3680b9-224e-4844-9275-ccfdd271f243","year":2024},"citing_paper":{"arxiv_id":"2605.06994","last_updated":"2026-05-07T22:18:01Z","snapshot_observed_at":"2026-07-06T23:19:25.538514Z","submitted_at":"2026-05-07T22:18:01Z","title":"Neural Network Representation of Generalized Parton Distributions (NNGPD)","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-11T01:40:37.609242Z"},"links":{"cited_paper":"/paper/2408.11681","citing_paper":"/paper/2605.06994"},"observation_digest":"sha256:bdb07382712f3d2e70d2f98a457a9eb8b36758031b91a7a55efb2062c72e4965","observation_id":"5b1ca61a-0bb2-49fb-a962-ada8845f4019","resolution":{"observed_at":"2026-05-11T01:40:51.511292Z","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":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.11681","last_updated":"2024-08-21T15:01:51Z","snapshot_observed_at":"2026-08-07T13:45:09.266359Z","submitted_at":"2024-08-21T15:01:51Z","title":"Variational autoencoder inverse mapper for extraction of Compton form factors: Benchmarks and conditional learning","version":1},"cited_work":{"arxiv_id":"2408.11681","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2408.11681","snapshot_observed_at":"2026-07-03T01:27:31.392790Z","title":"Hossen, D","venue":null,"work_id":"db3680b9-224e-4844-9275-ccfdd271f243","year":2024},"citing_paper":{"arxiv_id":"2606.09152","last_updated":"2026-06-11T00:53:52Z","snapshot_observed_at":"2026-07-06T23:48:35.190418Z","submitted_at":"2026-06-08T07:45:53Z","title":"Constraining DVCS Compton Form Factors Using Lattice QCD informed Neural Network","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-06-27T16:29:49.703045Z"},"links":{"cited_paper":"/paper/2408.11681","citing_paper":"/paper/2606.09152"},"observation_digest":"sha256:b8a41450c4e1c50ed29884649dd4d12354b05ad67af44211d9729f95fc471640","observation_id":"26dcaa84-c9ac-4e71-9752-ccb20b36ef5e","resolution":{"observed_at":"2026-07-03T01:27:31.394128Z","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":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2408.11681/citation-record","integrity":"/paper/2408.11681/integrity","json":"/paper/2408.11681/citation-record.json","paper":"/paper/2408.11681"},"outbound":[],"paper":{"arxiv_id":"2408.11681","last_updated":"2024-08-21T15:01:51Z","latest_version":1,"primary_category":"hep-ph","snapshot_observed_at":"2026-08-07T13:45:09.266359Z","submitted_at":"2024-08-21T15:01:51Z","title":"Variational autoencoder inverse mapper for extraction of Compton form factors: Benchmarks and conditional learning"},"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 3 inbound Pith citation observations for arXiv:2408.11681."}