{"as_of":"2026-08-04T22:03:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8be6d1abf01b6f507ce70d60fb3604564553f56327e13d5e211e3b4b828533ca","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":"2026-08-04T06:34:03.388597+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":"2026-07-12T20:43:54.587872Z","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":"2026-07-04T09:09:43.108734Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2203.10202","last_updated":"2022-03-19T00:36:59Z","snapshot_observed_at":"2026-07-06T12:49:43.715551Z","submitted_at":"2022-03-19T00:36:59Z","title":"Relationformer: A Unified Framework for Image-to-Graph Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.10202","snapshot_observed_at":"2026-07-12T20:43:54.587872Z","title":"Relationformer: A unified framework for image-to-graph generation","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2604.16512","last_updated":"2026-06-08T13:14:17Z","snapshot_observed_at":"2026-07-12T20:43:48.067056Z","submitted_at":"2026-04-15T08:55:07Z","title":"Medial Axis Aware Learning of Signed Distance Functions","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-07-12T20:43:54.587872Z"},"links":{"cited_paper":"/paper/2203.10202","citing_paper":"/paper/2604.16512"},"observation_digest":"sha256:2c9ac998865418cc77855d95e4ed117db6a02b31267048bbc7b7e48f75b53568","observation_id":"29866024-5d0e-489e-b9e1-644b8876ce9f","resolution":{"observed_at":"2026-07-12T20:43:54.587872Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2203.10202","last_updated":"2022-03-19T00:36:59Z","snapshot_observed_at":"2026-07-06T12:49:43.715551Z","submitted_at":"2022-03-19T00:36:59Z","title":"Relationformer: A Unified Framework for Image-to-Graph Generation","version":1},"cited_work":{"arxiv_id":"2203.10202","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2203.10202","snapshot_observed_at":"2026-07-04T09:09:43.108734Z","title":"Relationformer: A unified framework for image-to-graph generation","venue":null,"work_id":"cc0d42d5-449e-48c7-98cc-ac7ea39f798d","year":2022},"citing_paper":{"arxiv_id":"2604.16513","last_updated":"2026-04-15T09:14:44Z","snapshot_observed_at":"2026-08-01T23:52:02.444749Z","submitted_at":"2026-04-15T09:14:44Z","title":"SynthPID: P&ID digitization from Topology-Preserving Synthetic Data","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-10T13:04:25.296704Z"},"links":{"cited_paper":"/paper/2203.10202","citing_paper":"/paper/2604.16513"},"observation_digest":"sha256:3ac19d6a1893e1be6b2570ef6c7c31a85ee30971bf27b528b4e35db5e0118034","observation_id":"bd22e373-97eb-4518-8229-04765d4507f4","resolution":{"observed_at":"2026-05-10T13:05:24.619205Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2203.10202","last_updated":"2022-03-19T00:36:59Z","snapshot_observed_at":"2026-07-06T12:49:43.715551Z","submitted_at":"2022-03-19T00:36:59Z","title":"Relationformer: A Unified Framework for Image-to-Graph Generation","version":1},"cited_work":{"arxiv_id":"2203.10202","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2203.10202","snapshot_observed_at":"2026-07-04T09:09:43.108734Z","title":"Relationformer: A unified framework for image-to-graph generation","venue":null,"work_id":"cc0d42d5-449e-48c7-98cc-ac7ea39f798d","year":2022},"citing_paper":{"arxiv_id":"2606.22702","last_updated":"2026-06-21T22:38:35Z","snapshot_observed_at":"2026-07-06T23:57:32.788548Z","submitted_at":"2026-06-21T22:38:35Z","title":"Modular Diffusion Models for Structured Visual Recognition","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-26T10:29:04.711627Z"},"links":{"cited_paper":"/paper/2203.10202","citing_paper":"/paper/2606.22702"},"observation_digest":"sha256:14f7f8f0e3fff4250091df6e4bda8c4cc2871e9647e0c01ba1949b4483c90768","observation_id":"2ae8dc93-2eb4-4915-a9ed-21606c30f0d6","resolution":{"observed_at":"2026-07-04T09:09:43.110442Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2203.10202/citation-record","integrity":"/paper/2203.10202/integrity","json":"/paper/2203.10202/citation-record.json","paper":"/paper/2203.10202"},"outbound":[],"paper":{"arxiv_id":"2203.10202","last_updated":"2022-03-19T00:36:59Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T12:49:43.715551Z","submitted_at":"2022-03-19T00:36:59Z","title":"Relationformer: A Unified Framework for Image-to-Graph Generation"},"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":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"thesis":"As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2203.10202."}