{"as_of":"2026-08-09T21:18:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5ff1084a9bb199000d26aa92264c3b2edf1c85f8e553a54dfc462d7efee52b0e","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:16:17.772212Z","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":"2026-05-24T01:18:42.410639Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2312.03517","last_updated":"2024-09-02T08:30:37Z","snapshot_observed_at":"2026-07-06T16:57:46.724781Z","submitted_at":"2023-12-06T14:24:26Z","title":"FRDiff : Feature Reuse for Universal Training-free Acceleration of Diffusion Models","version":3},"cited_work":{"arxiv_id":"2312.03517","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2312.03517","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Frdiff: Feature reuse for exquisite zero-shot acceleration of diffusion models.CoRR, abs/2312.03517","venue":null,"work_id":"79958fa3-0625-4095-8003-fd5a16a91035","year":2023},"citing_paper":{"arxiv_id":"2405.14430","last_updated":"2025-12-03T10:59:23Z","snapshot_observed_at":"2026-08-08T21:50:02.096694Z","submitted_at":"2024-05-23T11:00:07Z","title":"PipeFusion: Patch-level Pipeline Parallelism for Diffusion Transformers Inference","version":4},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-24T01:17:11.261301Z"},"links":{"cited_paper":"/paper/2312.03517","citing_paper":"/paper/2405.14430"},"observation_digest":"sha256:dc844c1ed806f268505e5756124c6fd1a6315c480780b57c44942774d625aec6","observation_id":"73e46ac4-a0cb-4a5c-ae18-156893eceea6","resolution":{"observed_at":"2026-05-24T01:18:42.413134Z","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":"2312.03517","last_updated":"2024-09-02T08:30:37Z","snapshot_observed_at":"2026-07-06T16:57:46.724781Z","submitted_at":"2023-12-06T14:24:26Z","title":"FRDiff : Feature Reuse for Universal Training-free Acceleration of Diffusion Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.03517","snapshot_observed_at":"2026-08-07T14:16:17.772212Z","title":"Frdiff: Feature reuse for exquisite zero-shot acceleration of diffusion models.arXiv preprint arXiv:2312.03517, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.19602","last_updated":"2025-05-26T07:11:42Z","snapshot_observed_at":"2026-08-08T23:51:09.753030Z","submitted_at":"2025-05-26T07:11:42Z","title":"Memory-Efficient Visual Autoregressive Modeling with Scale-Aware KV Cache Compression","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T14:16:17.772212Z"},"links":{"cited_paper":"/paper/2312.03517","citing_paper":"/paper/2505.19602"},"observation_digest":"sha256:5d7f1855b08008da41186297cb6e80fcf70d72a17b1010d38e81368c68f8333d","observation_id":"a8693224-84aa-45a6-b7c3-dfc107049171","resolution":{"observed_at":"2026-08-07T14:16:17.772212Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.03517","last_updated":"2024-09-02T08:30:37Z","snapshot_observed_at":"2026-07-06T16:57:46.724781Z","submitted_at":"2023-12-06T14:24:26Z","title":"FRDiff : Feature Reuse for Universal Training-free Acceleration of Diffusion Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.03517","snapshot_observed_at":"2026-08-01T10:59:55.318517Z","title":"Frdiff: Feature reuse for universal training-free acceleration of diffusion models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.20048","last_updated":"2026-07-22T11:42:42Z","snapshot_observed_at":"2026-08-05T09:15:47.648858Z","submitted_at":"2026-07-22T11:42:42Z","title":"Importance-Aware OBS Pruning for Diffusion Models","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-01T10:59:55.318517Z"},"links":{"cited_paper":"/paper/2312.03517","citing_paper":"/paper/2607.20048"},"observation_digest":"sha256:7d22f62bd11b536708e0e82d90eacfe90b2c476c9647b7d07da932e3f36c761b","observation_id":"a3919a76-7a09-4ee9-ad0b-7d5172d0cedc","resolution":{"observed_at":"2026-08-01T10:59:55.318517Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2312.03517/citation-record","integrity":"/paper/2312.03517/integrity","json":"/paper/2312.03517/citation-record.json","paper":"/paper/2312.03517"},"outbound":[],"paper":{"arxiv_id":"2312.03517","last_updated":"2024-09-02T08:30:37Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T16:57:46.724781Z","submitted_at":"2023-12-06T14:24:26Z","title":"FRDiff : Feature Reuse for Universal Training-free Acceleration of 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":"2026-08-09T06:31:02.800959+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 3 inbound Pith citation observations for arXiv:2312.03517."}