{"as_of":"2026-08-09T22:36:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3ac66a3c2e404a2b5bfe790e79af5335e2c6ad3fd27238d83c1f84f6b23fdf7c","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":"2026-08-04T12:55:11.939046Z","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":"2026-05-16T22:21:18.721937Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2503.11972","last_updated":"2025-08-02T06:50:59Z","snapshot_observed_at":"2026-08-07T17:02:30.162271Z","submitted_at":"2025-03-15T02:48:27Z","title":"MoDM: Efficient Serving for Image Generation via Mixture-of-Diffusion Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.11972","snapshot_observed_at":"2026-08-04T12:55:11.939046Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.01565","last_updated":"2026-06-18T01:08:24Z","snapshot_observed_at":"2026-08-07T13:00:11.048060Z","submitted_at":"2025-10-02T01:23:32Z","title":"TetriServe: Efficiently Serving Mixed DiT Workloads","version":4},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-04T12:55:11.939046Z"},"links":{"cited_paper":"/paper/2503.11972","citing_paper":"/paper/2510.01565"},"observation_digest":"sha256:6172a1672670f831489886422f60155eac69f939e6ec29af1bf627faa0e6de71","observation_id":"979a35b8-536a-4b45-82b1-6a908a674d50","resolution":{"observed_at":"2026-08-04T12:55:11.939046Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.11972","last_updated":"2025-08-02T06:50:59Z","snapshot_observed_at":"2026-08-07T17:02:30.162271Z","submitted_at":"2025-03-15T02:48:27Z","title":"MoDM: Efficient Serving for Image Generation via Mixture-of-Diffusion Models","version":2},"cited_work":{"arxiv_id":"2503.11972","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.11972","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Modm: Efficient serving for image generation via mixture-of-diffusion models","venue":null,"work_id":"5ab73e03-87e9-408a-91f4-02fb8f278eb8","year":2025},"citing_paper":{"arxiv_id":"2512.14098","last_updated":"2026-04-15T20:49:22Z","snapshot_observed_at":"2026-07-06T22:39:08.850289Z","submitted_at":"2025-12-16T05:14:41Z","title":"Cornfigurator: Automated Planning for Any-to-Any Multimodal Model Serving","version":3},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-05-16T22:20:48.239186Z"},"links":{"cited_paper":"/paper/2503.11972","citing_paper":"/paper/2512.14098"},"observation_digest":"sha256:e8ae260a0113e6081be182bae8e8cbbaf32f80d40ab1accfd701a362bca54a08","observation_id":"5125f87c-30b2-4262-92b5-09045cbcfb92","resolution":{"observed_at":"2026-05-16T22:21:18.724310Z","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":"2503.11972","last_updated":"2025-08-02T06:50:59Z","snapshot_observed_at":"2026-08-07T17:02:30.162271Z","submitted_at":"2025-03-15T02:48:27Z","title":"MoDM: Efficient Serving for Image Generation via Mixture-of-Diffusion Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.11972","snapshot_observed_at":"2026-08-02T06:45:43.310523Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.12121","last_updated":"2026-07-15T22:00:17Z","snapshot_observed_at":"2026-08-02T06:45:34.904229Z","submitted_at":"2026-07-13T20:00:39Z","title":"FlashDiff: Efficient Regional Execution and Scheduling for Diffusion Model Serving","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-02T06:45:43.310523Z"},"links":{"cited_paper":"/paper/2503.11972","citing_paper":"/paper/2607.12121"},"observation_digest":"sha256:870c1e543beb6b8fca0283c0e57804c0072b42513341d99f3bc623cc03c8b07a","observation_id":"13d1fb88-383f-4cbd-92ab-5f601273cba6","resolution":{"observed_at":"2026-08-02T06:45:43.310523Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.11972","last_updated":"2025-08-02T06:50:59Z","snapshot_observed_at":"2026-08-07T17:02:30.162271Z","submitted_at":"2025-03-15T02:48:27Z","title":"MoDM: Efficient Serving for Image Generation via Mixture-of-Diffusion Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.11972","snapshot_observed_at":"2026-08-01T22:14:38.751205Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.15846","last_updated":"2026-07-17T11:04:21Z","snapshot_observed_at":"2026-08-09T15:53:04.157390Z","submitted_at":"2026-07-17T11:04:21Z","title":"DSTAR: Accelerating Diffusion Transformers via Spatial and Temporal Redundancy Reduction","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-01T22:14:38.751205Z"},"links":{"cited_paper":"/paper/2503.11972","citing_paper":"/paper/2607.15846"},"observation_digest":"sha256:e80fe960c3c29077bda8c7290fb4b59e6cbb1d287bc5eae2b4b8f536640fc6c5","observation_id":"92e4d817-ba28-4a38-9b58-787d6e38abbf","resolution":{"observed_at":"2026-08-01T22:14:38.751205Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2503.11972/citation-record","integrity":"/paper/2503.11972/integrity","json":"/paper/2503.11972/citation-record.json","paper":"/paper/2503.11972"},"outbound":[],"paper":{"arxiv_id":"2503.11972","last_updated":"2025-08-02T06:50:59Z","latest_version":2,"primary_category":"cs.DC","snapshot_observed_at":"2026-08-07T17:02:30.162271Z","submitted_at":"2025-03-15T02:48:27Z","title":"MoDM: Efficient Serving for Image Generation via Mixture-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 4 inbound Pith citation observations for arXiv:2503.11972."}