{"as_of":"2026-08-05T04:53:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4e2a7ec61942ecf21c79a3f94ce5111fb50345a87d688949e88f9e7befc704a8","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-04T06:34:03.388597+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-10T08:38:14.684206Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-07-10T08:47:02.058055Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2405.01494","last_updated":"2024-12-24T22:21:38Z","snapshot_observed_at":"2026-07-06T18:08:56.480769Z","submitted_at":"2024-05-02T17:26:52Z","title":"Navigating Heterogeneity and Privacy in One-Shot Federated Learning with Diffusion Models","version":2},"cited_work":{"arxiv_id":"2405.01494","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.01494","snapshot_observed_at":"2026-07-10T08:47:02.058055Z","title":"Nav- igating heterogeneity and privacy in one-shot feder- ated learning with diffusion models","venue":"cs.CV","work_id":"983326a8-a8f6-4d7c-9fb8-5bbfdfe8ad24","year":2024},"citing_paper":{"arxiv_id":"2406.14429","last_updated":"2026-08-04T14:03:44Z","snapshot_observed_at":"2026-08-05T04:31:13.183961Z","submitted_at":"2024-06-20T15:54:21Z","title":"CollaFuse: Collaborative Diffusion Models","version":3},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-23T23:35:00.048503Z"},"links":{"cited_paper":"/paper/2405.01494","citing_paper":"/paper/2406.14429"},"observation_digest":"sha256:e456ce43b49d074911d4e4c516fa7c56a3e13838313461da07634159e4c9e8e2","observation_id":"ade1dee1-7874-4cec-af44-ed7210941a46","resolution":{"observed_at":"2026-05-23T23:35:52.248113Z","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":"2405.01494","last_updated":"2024-12-24T22:21:38Z","snapshot_observed_at":"2026-07-06T18:08:56.480769Z","submitted_at":"2024-05-02T17:26:52Z","title":"Navigating Heterogeneity and Privacy in One-Shot Federated Learning with Diffusion Models","version":2},"cited_work":{"arxiv_id":"2405.01494","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.01494","snapshot_observed_at":"2026-07-10T08:47:02.058055Z","title":"Nav- igating heterogeneity and privacy in one-shot feder- ated learning with diffusion models","venue":"cs.CV","work_id":"983326a8-a8f6-4d7c-9fb8-5bbfdfe8ad24","year":2024},"citing_paper":{"arxiv_id":"2607.08368","last_updated":"2026-07-09T11:28:31Z","snapshot_observed_at":"2026-08-02T20:12:37.450076Z","submitted_at":"2026-07-09T11:28:31Z","title":"FedOPAL: One-Shot Federated Learning via Analytic Visual Prompt Tuning","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-10T08:38:14.684206Z"},"links":{"cited_paper":"/paper/2405.01494","citing_paper":"/paper/2607.08368"},"observation_digest":"sha256:039e7b647765c72f6688358a969df0e3528b47aa7cf34bf697c066501a9b6096","observation_id":"a95910b3-f6b9-46ed-b162-a7cf14d13f98","resolution":{"observed_at":"2026-07-10T08:47:02.059440Z","resolver_source":"local_arxiv","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/2405.01494/citation-record","integrity":"/paper/2405.01494/integrity","json":"/paper/2405.01494/citation-record.json","paper":"/paper/2405.01494"},"outbound":[],"paper":{"arxiv_id":"2405.01494","last_updated":"2024-12-24T22:21:38Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T18:08:56.480769Z","submitted_at":"2024-05-02T17:26:52Z","title":"Navigating Heterogeneity and Privacy in One-Shot Federated Learning with Diffusion Models"},"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 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.01494."}