{"as_of":"2026-08-05T12:45:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9010978529d97f5d392110003d8c21161d3927f15edff3e2163d853174580e36","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":"2026-08-05T06:32:48.257954+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":"2026-05-18T13:10:18.700497Z","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":"2026-05-18T13:11:23.766223Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2504.01521","last_updated":"2025-04-02T09:07:55Z","snapshot_observed_at":"2026-07-06T21:02:52.202829Z","submitted_at":"2025-04-02T09:07:55Z","title":"Domain Guidance: A Simple Transfer Approach for a Pre-trained Diffusion Model","version":1},"cited_work":{"arxiv_id":"2504.01521","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.01521","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Domain guidance: A simple transfer approach for a pre-trained diffusion model","venue":null,"work_id":"9e896ef9-9b07-4c48-9a87-ac8ae923bc24","year":2025},"citing_paper":{"arxiv_id":"2509.23727","last_updated":"2026-04-09T14:19:05Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-09-28T08:12:43Z","title":"AudioMoG: Guiding Audio Generation with Mixture-of-Guidance","version":2},"reference_index":75,"source":"arxiv_source","source_observed_at":"2026-05-18T13:10:18.700497Z"},"links":{"cited_paper":"/paper/2504.01521","citing_paper":"/paper/2509.23727"},"observation_digest":"sha256:6d3d97f8d914580e5db977ae151bf04cdad01b5acaad44dc04aa320f49ed80ee","observation_id":"df6ef58a-0497-428d-a197-094f0ee6c0d6","resolution":{"observed_at":"2026-05-18T13:11:23.769116Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.01521","last_updated":"2025-04-02T09:07:55Z","snapshot_observed_at":"2026-07-06T21:02:52.202829Z","submitted_at":"2025-04-02T09:07:55Z","title":"Domain Guidance: A Simple Transfer Approach for a Pre-trained Diffusion Model","version":1},"cited_work":{"arxiv_id":"2504.01521","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.01521","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Domain guidance: A simple transfer approach for a pre-trained diffusion model","venue":null,"work_id":"9e896ef9-9b07-4c48-9a87-ac8ae923bc24","year":2025},"citing_paper":{"arxiv_id":"2604.16558","last_updated":"2026-04-17T08:39:56Z","snapshot_observed_at":"2026-07-06T23:03:52.631613Z","submitted_at":"2026-04-17T08:39:56Z","title":"Cross-Modal Generation: From Commodity WiFi to High-Fidelity mmWave and RFID Sensing","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-05-10T08:14:04.769153Z"},"links":{"cited_paper":"/paper/2504.01521","citing_paper":"/paper/2604.16558"},"observation_digest":"sha256:22d2ae82508a103cdc4fefe758ce34b3917ca5d8b9abf63bfbbb17cd590fd954","observation_id":"657d0abd-69dc-4462-bb05-83443200dfa7","resolution":{"observed_at":"2026-05-10T08:17:37.579883Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2504.01521/citation-record","integrity":"/paper/2504.01521/integrity","json":"/paper/2504.01521/citation-record.json","paper":"/paper/2504.01521"},"outbound":[],"paper":{"arxiv_id":"2504.01521","last_updated":"2025-04-02T09:07:55Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T21:02:52.202829Z","submitted_at":"2025-04-02T09:07:55Z","title":"Domain Guidance: A Simple Transfer Approach for a Pre-trained Diffusion Model"},"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":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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:2504.01521."}