{"as_of":"2026-08-11T08:54:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f7540fc9f300396d1dac87da4057a075fba7a6ff19bd6b090a25d6f94c97ce1f","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T22:40:48.744137Z","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":"2026-07-04T13:49:52.101118Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.04843","last_updated":"2025-08-15T21:12:02Z","snapshot_observed_at":"2026-07-06T18:27:03.044022Z","submitted_at":"2024-06-07T11:16:17Z","title":"Variational Flow Matching for Graph Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.04843","snapshot_observed_at":"2026-08-10T22:40:48.744137Z","title":"A., Welling, M., and van de Meent, J.-W","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.01073","last_updated":"2025-06-03T16:53:33Z","snapshot_observed_at":"2026-08-11T00:18:46.787630Z","submitted_at":"2025-01-02T05:44:11Z","title":"Graph Generative Pre-trained Transformer","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T22:40:48.744137Z"},"links":{"cited_paper":"/paper/2406.04843","citing_paper":"/paper/2501.01073"},"observation_digest":"sha256:122c2a61336bc435af4cebaf9c0795cf7c324491d9451107bfdcd86dcf7b03c5","observation_id":"1db7f8be-f44b-4c24-b8d6-0015c7bc6705","resolution":{"observed_at":"2026-08-10T22:40:48.744137Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04843","last_updated":"2025-08-15T21:12:02Z","snapshot_observed_at":"2026-07-06T18:27:03.044022Z","submitted_at":"2024-06-07T11:16:17Z","title":"Variational Flow Matching for Graph Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.04843","snapshot_observed_at":"2026-08-09T23:38:10.296550Z","title":"A., Welling, M., and van de Meent, J.-W","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.18665","last_updated":"2025-07-18T23:49:21Z","snapshot_observed_at":"2026-08-09T23:28:38.057815Z","submitted_at":"2025-01-30T15:44:04Z","title":"BARNN: A Bayesian Autoregressive and Recurrent Neural Network","version":2},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-09T23:38:10.296550Z"},"links":{"cited_paper":"/paper/2406.04843","citing_paper":"/paper/2501.18665"},"observation_digest":"sha256:ed8f92b996c90f422ea3ce7dd9185a7f189eeba5859d321c5dbd04e789b9d0ac","observation_id":"2c8da56c-cc76-4774-94d3-761a1ac885a0","resolution":{"observed_at":"2026-08-09T23:38:10.296550Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04843","last_updated":"2025-08-15T21:12:02Z","snapshot_observed_at":"2026-07-06T18:27:03.044022Z","submitted_at":"2024-06-07T11:16:17Z","title":"Variational Flow Matching for Graph Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.04843","snapshot_observed_at":"2026-08-07T20:54:49.806426Z","title":"Variational Flow Matching for Graph Generation","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.09616","last_updated":"2025-02-13T18:59:15Z","snapshot_observed_at":"2026-08-10T23:03:54.211852Z","submitted_at":"2025-02-13T18:59:15Z","title":"Variational Rectified Flow Matching","version":1},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-07T20:54:49.806426Z"},"links":{"cited_paper":"/paper/2406.04843","citing_paper":"/paper/2502.09616"},"observation_digest":"sha256:1d15ba82a14cac32d2a0adc86cebc9a102166030bc1cdb7de7f406f84a07fbd0","observation_id":"c9c5064f-1421-41d2-abd1-4656d67ca2a2","resolution":{"observed_at":"2026-08-07T20:54:49.806426Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04843","last_updated":"2025-08-15T21:12:02Z","snapshot_observed_at":"2026-07-06T18:27:03.044022Z","submitted_at":"2024-06-07T11:16:17Z","title":"Variational Flow Matching for Graph Generation","version":2},"cited_work":{"arxiv_id":"2406.04843","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.04843","snapshot_observed_at":"2026-07-04T13:49:52.101118Z","title":"arXiv preprint arXiv:2406.04843 , year=","venue":null,"work_id":"33904493-288b-4e0b-82ca-f5e347a10394","year":null},"citing_paper":{"arxiv_id":"2606.27361","last_updated":"2026-06-25T17:58:21Z","snapshot_observed_at":"2026-08-08T10:03:06.087051Z","submitted_at":"2026-06-25T17:58:21Z","title":"Autoregressive Boltzmann Generators","version":1},"reference_index":83,"source":"arxiv_source","source_observed_at":"2026-06-26T04:52:16.106374Z"},"links":{"cited_paper":"/paper/2406.04843","citing_paper":"/paper/2606.27361"},"observation_digest":"sha256:96db09d4a323f444face4906b8c7660dfa3b77361fbc6fda8963b0a3d5b6e3b4","observation_id":"c17edd54-85c4-4e0f-b4ff-235ddf7a276c","resolution":{"observed_at":"2026-07-04T13:49:52.102999Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2406.04843/citation-record","integrity":"/paper/2406.04843/integrity","json":"/paper/2406.04843/citation-record.json","paper":"/paper/2406.04843"},"outbound":[],"paper":{"arxiv_id":"2406.04843","last_updated":"2025-08-15T21:12:02Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T18:27:03.044022Z","submitted_at":"2024-06-07T11:16:17Z","title":"Variational Flow Matching for 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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.04843."}