{"as_of":"2026-08-22T10:31:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7225e6f8c3b52834cf0066d2be9f663ce2de7d9ba32051c3bf35a1b7ad33698b","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":7,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":7,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-22T06:32:14.747728+00:00","state":"measured"},{"denominator":7,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T00:35:36.030582Z","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":"2026-07-03T01:27:31.423947Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2112.10528","last_updated":"2021-12-20T13:46:08Z","snapshot_observed_at":"2026-08-22T02:08:44.546394Z","submitted_at":"2021-12-20T13:46:08Z","title":"Artificial neural network modelling of generalised parton distributions","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.10528","snapshot_observed_at":"2026-08-04T21:29:46.506576Z","title":"Dutrieux, H","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.08037","last_updated":"2025-09-09T18:00:00Z","snapshot_observed_at":"2026-08-15T21:50:12.068985Z","submitted_at":"2025-09-09T18:00:00Z","title":"GUMP1.0 -- First global extraction of generalized parton distributions from experiment and lattice data with NLO accuracy","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-04T21:29:46.506576Z"},"links":{"cited_paper":"/paper/2112.10528","citing_paper":"/paper/2509.08037"},"observation_digest":"sha256:528251fdef3113732ee397a66dc09a688dbb0b000fa2f07512352d39880d50e3","observation_id":"a1b478cf-0506-4bc4-b4a7-0105de431ad9","resolution":{"observed_at":"2026-08-04T21:29:46.506576Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2112.10528","last_updated":"2021-12-20T13:46:08Z","snapshot_observed_at":"2026-08-22T02:08:44.546394Z","submitted_at":"2021-12-20T13:46:08Z","title":"Artificial neural network modelling of generalised parton distributions","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.10528","snapshot_observed_at":"2026-08-15T15:54:36.572932Z","title":"Dutrieux, H","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.15931","last_updated":"2026-05-28T12:15:42Z","snapshot_observed_at":"2026-08-15T22:14:41.819781Z","submitted_at":"2025-09-19T12:37:30Z","title":"A Unified Neural-Network Framework for Nucleon Imaging from Numerical Simulations of QCD","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T15:54:36.572932Z"},"links":{"cited_paper":"/paper/2112.10528","citing_paper":"/paper/2509.15931"},"observation_digest":"sha256:7bf6c1de316c1d469cf7aa55ebd153779ad2ba554a7a938282539b3a58047a56","observation_id":"fc359411-68cc-404d-a964-1127f25c5092","resolution":{"observed_at":"2026-08-15T15:54:36.572932Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2112.10528","last_updated":"2021-12-20T13:46:08Z","snapshot_observed_at":"2026-08-22T02:08:44.546394Z","submitted_at":"2021-12-20T13:46:08Z","title":"Artificial neural network modelling of generalised parton distributions","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.10528","snapshot_observed_at":"2026-08-03T14:52:28.400008Z","title":"Dutrieux, H","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2512.19145","last_updated":"2026-05-23T09:09:08Z","snapshot_observed_at":"2026-08-12T19:23:06.369973Z","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":42,"source":"pdf_text","source_observed_at":"2026-08-03T14:52:28.400008Z"},"links":{"cited_paper":"/paper/2112.10528","citing_paper":"/paper/2512.19145"},"observation_digest":"sha256:21402118f6c759520b255a5921f265c4f7232662efec6c6051b51b5264f971aa","observation_id":"d6454a14-a667-499b-a5da-377ecec53162","resolution":{"observed_at":"2026-08-03T14:52:28.400008Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2112.10528","last_updated":"2021-12-20T13:46:08Z","snapshot_observed_at":"2026-08-22T02:08:44.546394Z","submitted_at":"2021-12-20T13:46:08Z","title":"Artificial neural network modelling of generalised parton distributions","version":1},"cited_work":{"arxiv_id":"2112.10528","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2112.10528","snapshot_observed_at":"2026-07-03T01:27:31.423947Z","title":"Dutrieux, H","venue":null,"work_id":"e67a15ce-8d39-4e56-af08-9732819dde79","year":2022},"citing_paper":{"arxiv_id":"2604.21476","last_updated":"2026-04-23T09:37:16Z","snapshot_observed_at":"2026-08-16T02:38:39.434189Z","submitted_at":"2026-04-23T09:37:16Z","title":"Reconstructing the full kinematic dependence of GPDs from pseudo-distributions","version":1},"reference_index":136,"source":"pdf_text","source_observed_at":"2026-05-08T13:04:39.943147Z"},"links":{"cited_paper":"/paper/2112.10528","citing_paper":"/paper/2604.21476"},"observation_digest":"sha256:82aa36a2e9880ad5e107f61eccb284a39955e57987a3cae65180afbb25f08f23","observation_id":"7686b33c-4a75-4385-bf48-b78e95825f7b","resolution":{"observed_at":"2026-05-11T19:01:15.535732Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2112.10528","last_updated":"2021-12-20T13:46:08Z","snapshot_observed_at":"2026-08-22T02:08:44.546394Z","submitted_at":"2021-12-20T13:46:08Z","title":"Artificial neural network modelling of generalised parton distributions","version":1},"cited_work":{"arxiv_id":"2112.10528","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2112.10528","snapshot_observed_at":"2026-07-03T01:27:31.423947Z","title":"Dutrieux, H","venue":null,"work_id":"e67a15ce-8d39-4e56-af08-9732819dde79","year":2022},"citing_paper":{"arxiv_id":"2604.24629","last_updated":"2026-04-27T15:56:02Z","snapshot_observed_at":"2026-08-11T16:53:22.598915Z","submitted_at":"2026-04-27T15:56:02Z","title":"On the Two $R$-Factors in the Small-$x$ Shockwave Formalism","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-08T02:43:51.440221Z"},"links":{"cited_paper":"/paper/2112.10528","citing_paper":"/paper/2604.24629"},"observation_digest":"sha256:8710edfbf29463a509c12091b4535ce49768351cef16b9e282a4bf7af0162f01","observation_id":"2deb803b-05f1-4fb1-bafc-98926177a5ff","resolution":{"observed_at":"2026-05-11T22:41:13.967990Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2112.10528","last_updated":"2021-12-20T13:46:08Z","snapshot_observed_at":"2026-08-22T02:08:44.546394Z","submitted_at":"2021-12-20T13:46:08Z","title":"Artificial neural network modelling of generalised parton distributions","version":1},"cited_work":{"arxiv_id":"2112.10528","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2112.10528","snapshot_observed_at":"2026-07-03T01:27:31.423947Z","title":"Dutrieux, H","venue":null,"work_id":"e67a15ce-8d39-4e56-af08-9732819dde79","year":2022},"citing_paper":{"arxiv_id":"2606.09152","last_updated":"2026-06-11T00:53:52Z","snapshot_observed_at":"2026-08-15T15:50:25.749475Z","submitted_at":"2026-06-08T07:45:53Z","title":"Constraining DVCS Compton Form Factors Using Lattice QCD informed Neural Network","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-06-27T16:29:49.703045Z"},"links":{"cited_paper":"/paper/2112.10528","citing_paper":"/paper/2606.09152"},"observation_digest":"sha256:93156cefe5b3a86b68ec553eeda4bccd7d00b4d56d4ac9ab023292c483da2e1a","observation_id":"3c19ce11-e746-42f8-9bb9-2941ba076963","resolution":{"observed_at":"2026-07-03T01:27:31.425253Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2112.10528","last_updated":"2021-12-20T13:46:08Z","snapshot_observed_at":"2026-08-22T02:08:44.546394Z","submitted_at":"2021-12-20T13:46:08Z","title":"Artificial neural network modelling of generalised parton distributions","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.10528","snapshot_observed_at":"2026-08-16T00:35:36.030582Z","title":"Dutrieux, H","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.11712","last_updated":"2026-08-16T09:57:32Z","snapshot_observed_at":"2026-08-20T23:12:48.640806Z","submitted_at":"2026-08-12T06:52:06Z","title":"Physics of the Electron-Ion Collider in China","version":1},"reference_index":255,"source":"pdf_text","source_observed_at":"2026-08-16T00:35:36.030582Z"},"links":{"cited_paper":"/paper/2112.10528","citing_paper":"/paper/2608.11712"},"observation_digest":"sha256:b3105716d8c7278e92a35b64e17b77f0d1347e2d023e7e3d7850c62485cc5cdf","observation_id":"c8eeb9a8-4f2b-458e-8f7a-dc7e1e5cfacd","resolution":{"observed_at":"2026-08-16T00:35:36.030582Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2112.10528/citation-record","integrity":"/paper/2112.10528/integrity","json":"/paper/2112.10528/citation-record.json","paper":"/paper/2112.10528"},"outbound":[],"paper":{"arxiv_id":"2112.10528","last_updated":"2021-12-20T13:46:08Z","latest_version":1,"primary_category":"hep-ph","snapshot_observed_at":"2026-08-22T02:08:44.546394Z","submitted_at":"2021-12-20T13:46:08Z","title":"Artificial neural network modelling of generalised parton distributions"},"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":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2112.10528."}