{"as_of":"2026-08-09T18:49:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a139d12936950376de38c9daadeb2faa020ecedbecd5c31c5ce694940afef51a","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":"2026-08-09T06:31:02.800959+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":"2026-08-05T18:41:34.084031Z","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":"2026-07-07T18:04:00.595239Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2404.07946","last_updated":"2024-03-14T13:27:04Z","snapshot_observed_at":"2026-07-06T17:59:00.124173Z","submitted_at":"2024-03-14T13:27:04Z","title":"Towards Faster Training of Diffusion Models: An Inspiration of A Consistency Phenomenon","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.07946","snapshot_observed_at":"2026-08-05T18:41:34.084031Z","title":"Towards faster training of diffusion models: An inspiration of a consistency phenomenon","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.14413","last_updated":"2025-08-20T04:21:26Z","snapshot_observed_at":"2026-08-09T07:57:34.176288Z","submitted_at":"2025-08-20T04:21:26Z","title":"Disentanglement in T-space for Faster and Distributed Training of Diffusion Models with Fewer Latent-states","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-05T18:41:34.084031Z"},"links":{"cited_paper":"/paper/2404.07946","citing_paper":"/paper/2508.14413"},"observation_digest":"sha256:98d7f9aa4152ee7640227ee6e9aeb713431d164cd7e2f056df8ee8a6d2033417","observation_id":"07ebcd71-a7df-4ab8-b74e-2e2b5cc3d0a2","resolution":{"observed_at":"2026-08-05T18:41:34.084031Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.07946","last_updated":"2024-03-14T13:27:04Z","snapshot_observed_at":"2026-07-06T17:59:00.124173Z","submitted_at":"2024-03-14T13:27:04Z","title":"Towards Faster Training of Diffusion Models: An Inspiration of A Consistency Phenomenon","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.07946","snapshot_observed_at":"2026-08-03T20:52:39.888443Z","title":"Towards faster training of diffusion models: An inspi- ration of a consistency phenomenon.arXiv preprint arXiv:2404.07946, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2511.18050","last_updated":"2025-11-22T13:07:21Z","snapshot_observed_at":"2026-08-06T13:47:39.734426Z","submitted_at":"2025-11-22T13:07:21Z","title":"UltraFlux: Data-Model Co-Design for High-quality Native 4K Text-to-Image Generation across Diverse Aspect Ratios","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-03T20:52:39.888443Z"},"links":{"cited_paper":"/paper/2404.07946","citing_paper":"/paper/2511.18050"},"observation_digest":"sha256:9a9a6c3805f84a8001f53c808daac5b09d3bcc4ef5687acd7d49476581107ac8","observation_id":"23953eb8-2e3d-4181-9b0c-7da793a9a039","resolution":{"observed_at":"2026-08-03T20:52:39.888443Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.07946","last_updated":"2024-03-14T13:27:04Z","snapshot_observed_at":"2026-07-06T17:59:00.124173Z","submitted_at":"2024-03-14T13:27:04Z","title":"Towards Faster Training of Diffusion Models: An Inspiration of A Consistency Phenomenon","version":1},"cited_work":{"arxiv_id":"2404.07946","doi":null,"metadata_source":"pith","pith_arxiv_id":"2404.07946","snapshot_observed_at":"2026-07-07T18:04:00.595239Z","title":"Towards faster training of diffusion models: An inspiration of a consistency phenomenon","venue":"cs.LG","work_id":"9cc3ebb1-9c4a-4ac3-8674-4b2afe5d1d88","year":2024},"citing_paper":{"arxiv_id":"2605.10790","last_updated":"2026-05-11T16:21:45Z","snapshot_observed_at":"2026-07-06T23:22:42.512039Z","submitted_at":"2026-05-11T16:21:45Z","title":"Elucidating Representation Degradation Problem in Diffusion Model Training","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-05-12T04:08:11.110912Z"},"links":{"cited_paper":"/paper/2404.07946","citing_paper":"/paper/2605.10790"},"observation_digest":"sha256:d672e84676d2e827cb39810fd2747acb7e39ff2af79e5dd5e271f69c4b320b16","observation_id":"a6e92d10-263e-465c-a3e0-855931b7f86b","resolution":{"observed_at":"2026-05-12T06:36:26.697332Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.07946","last_updated":"2024-03-14T13:27:04Z","snapshot_observed_at":"2026-07-06T17:59:00.124173Z","submitted_at":"2024-03-14T13:27:04Z","title":"Towards Faster Training of Diffusion Models: An Inspiration of A Consistency Phenomenon","version":1},"cited_work":{"arxiv_id":"2404.07946","doi":null,"metadata_source":"pith","pith_arxiv_id":"2404.07946","snapshot_observed_at":"2026-07-07T18:04:00.595239Z","title":"Towards faster training of diffusion models: An inspiration of a consistency phenomenon","venue":"cs.LG","work_id":"9cc3ebb1-9c4a-4ac3-8674-4b2afe5d1d88","year":2024},"citing_paper":{"arxiv_id":"2607.05319","last_updated":"2026-07-06T16:58:05Z","snapshot_observed_at":"2026-08-03T23:16:53.379733Z","submitted_at":"2026-07-06T16:58:05Z","title":"Steering Optimisation Trajectories in Diffusion Representation Learning","version":1},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-07-07T17:54:09.140773Z"},"links":{"cited_paper":"/paper/2404.07946","citing_paper":"/paper/2607.05319"},"observation_digest":"sha256:62e73b7287356f8127187ba21ed83e89e44d49de0eccf7b1a98662db06e43042","observation_id":"b5d65c27-f2fa-448c-a4bb-afac0d8e655d","resolution":{"observed_at":"2026-07-07T18:04:00.597942Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2404.07946/citation-record","integrity":"/paper/2404.07946/integrity","json":"/paper/2404.07946/citation-record.json","paper":"/paper/2404.07946"},"outbound":[],"paper":{"arxiv_id":"2404.07946","last_updated":"2024-03-14T13:27:04Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T17:59:00.124173Z","submitted_at":"2024-03-14T13:27:04Z","title":"Towards Faster Training of Diffusion Models: An Inspiration of A Consistency Phenomenon"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2404.07946."}