{"as_of":"2026-08-11T06:55:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b061eb9cedf787ea6e4941c02320f93c80de357f999686abd24f50c49472de3d","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":"2026-08-11T06:34:44.6726+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":"2026-08-11T05:23:02.056506Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":0,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2407.02031","last_updated":"2024-12-06T11:47:06Z","snapshot_observed_at":"2026-08-10T11:32:01.566164Z","submitted_at":"2024-07-02T07:59:08Z","title":"SwiftDiffusion: Efficient Diffusion Model Serving with Add-on Modules","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.02031","snapshot_observed_at":"2026-08-11T05:23:02.056506Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.17644","last_updated":"2025-01-18T11:08:25Z","snapshot_observed_at":"2026-08-11T05:16:49.248612Z","submitted_at":"2024-12-23T15:21:28Z","title":"DreamFit: Garment-Centric Human Generation via a Lightweight Anything-Dressing Encoder","version":3},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-11T05:23:02.056506Z"},"links":{"cited_paper":"/paper/2407.02031","citing_paper":"/paper/2412.17644"},"observation_digest":"sha256:23b7ed8c64f8d4cdcad834795841c64814a8a6da8fb4a2fb0f044f0b77d0577e","observation_id":"554f7ba5-5797-4869-b363-526a2efca7ac","resolution":{"observed_at":"2026-08-11T05:23:02.056506Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.02031","last_updated":"2024-12-06T11:47:06Z","snapshot_observed_at":"2026-08-10T11:32:01.566164Z","submitted_at":"2024-07-02T07:59:08Z","title":"SwiftDiffusion: Efficient Diffusion Model Serving with Add-on Modules","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.02031","snapshot_observed_at":"2026-08-09T16:13:36.342686Z","title":"Distrifusion: Distributed parallel inference for high-resolution diffusion models","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.06805","last_updated":"2025-06-06T14:57:09Z","snapshot_observed_at":"2026-08-09T15:58:29.865832Z","submitted_at":"2025-02-03T10:15:08Z","title":"Efficient Diffusion Models: A Survey","version":3},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-09T16:13:36.342686Z"},"links":{"cited_paper":"/paper/2407.02031","citing_paper":"/paper/2502.06805"},"observation_digest":"sha256:80a23c687d34746f5b4156543a77e9180dcb4fa529223cd216686871d7ecb426","observation_id":"0160314f-5eb5-41b5-ae4b-29640e1ad1c9","resolution":{"observed_at":"2026-08-09T16:13:36.342686Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.02031","last_updated":"2024-12-06T11:47:06Z","snapshot_observed_at":"2026-08-10T11:32:01.566164Z","submitted_at":"2024-07-02T07:59:08Z","title":"SwiftDiffusion: Efficient Diffusion Model Serving with Add-on Modules","version":2},"cited_work":{"arxiv_id":"2407.02031","doi":"10.48550/arxiv.2407.02031","metadata_source":"arxiv_reference","pith_arxiv_id":"2407.02031","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"arXiv (Cornell University)","work_id":"76bf0dd5-a7a7-4c6c-b3b6-2e504618b157","year":2024},"citing_paper":{"arxiv_id":"2605.25550","last_updated":"2026-05-25T08:07:47Z","snapshot_observed_at":"2026-07-31T12:35:46.854130Z","submitted_at":"2026-05-25T08:07:47Z","title":"DisagFusion: Asynchronous Pipeline Parallelism and Elastic Scheduling for Disaggregated Diffusion Serving","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-06-29T20:46:51.896596Z"},"links":{"cited_paper":"/paper/2407.02031","citing_paper":"/paper/2605.25550"},"observation_digest":"sha256:c4626b49e912f8318ece0381c1b726cbb07efb1c7c01573170e3acb62968d5ca","observation_id":"d4e3e160-5520-4930-acae-7376f002b6ab","resolution":{"observed_at":"2026-06-29T20:53:57.619568Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-07-14T13:50:00.671679+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T13:50:00.671679+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.02031","last_updated":"2024-12-06T11:47:06Z","snapshot_observed_at":"2026-08-10T11:32:01.566164Z","submitted_at":"2024-07-02T07:59:08Z","title":"SwiftDiffusion: Efficient Diffusion Model Serving with Add-on Modules","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.02031","snapshot_observed_at":"2026-07-14T06:49:04.349040Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.11136","last_updated":"2026-07-13T06:12:41Z","snapshot_observed_at":"2026-08-02T20:44:01.311010Z","submitted_at":"2026-07-13T06:12:41Z","title":"Xema: Efficient Diffusion Serving through Fine-Grained Memory Management and Auto-Configuration","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-07-14T06:49:04.349040Z"},"links":{"cited_paper":"/paper/2407.02031","citing_paper":"/paper/2607.11136"},"observation_digest":"sha256:27750de19b70adeeebb2b6b6a7618c92ee1aaf65df785f5cc48c3a38b469c729","observation_id":"a4146c13-23cf-4bce-813f-480c4ab585ce","resolution":{"observed_at":"2026-07-14T06:49:04.349040Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2407.02031/citation-record","integrity":"/paper/2407.02031/integrity","json":"/paper/2407.02031/citation-record.json","paper":"/paper/2407.02031"},"outbound":[],"paper":{"arxiv_id":"2407.02031","last_updated":"2024-12-06T11:47:06Z","latest_version":2,"primary_category":"cs.DC","snapshot_observed_at":"2026-08-10T11:32:01.566164Z","submitted_at":"2024-07-02T07:59:08Z","title":"SwiftDiffusion: Efficient Diffusion Model Serving with Add-on Modules"},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2407.02031."}