{"as_of":"2026-08-08T00:44:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a0a6727eba6b3e7dd08b11123bad6c277a333b0923fb74377ae547eaa805300b","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":"2026-08-07T06:34:17.273281+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":"2026-08-06T11:32:40.902608Z","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":"2026-05-11T22:01:12.554957Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2310.15111","last_updated":"2024-08-30T19:21:36Z","snapshot_observed_at":"2026-07-06T16:37:19.963994Z","submitted_at":"2023-10-23T17:20:01Z","title":"Matryoshka Diffusion Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.15111","snapshot_observed_at":"2026-08-06T11:32:40.902608Z","title":"Matryoshka diffusion models.arXiv preprint arXiv:2310.15111, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.22604","last_updated":"2025-07-30T12:19:01Z","snapshot_observed_at":"2026-08-06T11:32:38.916172Z","submitted_at":"2025-07-30T12:19:01Z","title":"ShortFT: Diffusion Model Alignment via Shortcut-based Fine-Tuning","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T11:32:40.902608Z"},"links":{"cited_paper":"/paper/2310.15111","citing_paper":"/paper/2507.22604"},"observation_digest":"sha256:0070dc1bfe5eb2fdad6e5ec805d89eb018039695b3c5f492249ff7bd283ecef4","observation_id":"43c608fd-0697-46a1-9f25-16bf587391e6","resolution":{"observed_at":"2026-08-06T11:32:40.902608Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15111","last_updated":"2024-08-30T19:21:36Z","snapshot_observed_at":"2026-07-06T16:37:19.963994Z","submitted_at":"2023-10-23T17:20:01Z","title":"Matryoshka Diffusion Models","version":2},"cited_work":{"arxiv_id":"2310.15111","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.15111","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"5e3a15ad-8576-4c93-9c93-6f95ff505881","year":2024},"citing_paper":{"arxiv_id":"2604.24374","last_updated":"2026-06-02T04:50:01Z","snapshot_observed_at":"2026-07-06T23:10:24.992210Z","submitted_at":"2026-04-27T12:07:40Z","title":"MIPIC: Matryoshka Representation Learning via Self-Distilled Intra-Relational and Progressive Information Chaining","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-05-08T03:35:44.435355Z"},"links":{"cited_paper":"/paper/2310.15111","citing_paper":"/paper/2604.24374"},"observation_digest":"sha256:f40c88a4503b066151ca37a1817e9a1a2dba8cbd43712fcba2cc92cc7a0eb9c5","observation_id":"1615dd54-4f1c-4e63-a39e-add8562f621c","resolution":{"observed_at":"2026-05-11T22:01:12.558161Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2310.15111/citation-record","integrity":"/paper/2310.15111/integrity","json":"/paper/2310.15111/citation-record.json","paper":"/paper/2310.15111"},"outbound":[],"paper":{"arxiv_id":"2310.15111","last_updated":"2024-08-30T19:21:36Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T16:37:19.963994Z","submitted_at":"2023-10-23T17:20:01Z","title":"Matryoshka 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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.15111."}