{"as_of":"2026-08-11T08:49:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:984d60db59776602b5f2277f9ca7743d292b98cc7eb7c33d8d1d79a4bd4b450e","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":"2026-08-10T22:57:06.198945Z","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":"2026-08-06T15:17:10.733995Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.11781","last_updated":"2024-06-17T17:35:54Z","snapshot_observed_at":"2026-07-06T18:32:23.999019Z","submitted_at":"2024-06-17T17:35:54Z","title":"DiffMM: Multi-Modal Diffusion Model for Recommendation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.11781","snapshot_observed_at":"2026-08-10T22:57:06.198945Z","title":"arXiv preprint arXiv:2406.11781 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.00384","last_updated":"2024-12-31T10:54:41Z","snapshot_observed_at":"2026-08-10T22:50:05.866104Z","submitted_at":"2024-12-31T10:54:41Z","title":"S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-10T22:57:06.198945Z"},"links":{"cited_paper":"/paper/2406.11781","citing_paper":"/paper/2501.00384"},"observation_digest":"sha256:1250c33c6989cbe8abdfc0d22695702ccd3d554a7a343a375bbf82a926787a11","observation_id":"96a93cd8-e8e6-4e72-84a4-3494627db1e5","resolution":{"observed_at":"2026-08-10T22:57:06.198945Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.11781","last_updated":"2024-06-17T17:35:54Z","snapshot_observed_at":"2026-07-06T18:32:23.999019Z","submitted_at":"2024-06-17T17:35:54Z","title":"DiffMM: Multi-Modal Diffusion Model for Recommendation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.11781","snapshot_observed_at":"2026-08-10T22:40:55.661845Z","title":"Diffmm: Multi-modal diffusion model for recommendation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.01066","last_updated":"2025-01-02T05:30:19Z","snapshot_observed_at":"2026-08-10T22:33:29.938264Z","submitted_at":"2025-01-02T05:30:19Z","title":"DiffCL: A Diffusion-Based Contrastive Learning Framework with Semantic Alignment for Multimodal Recommendations","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-10T22:40:55.661845Z"},"links":{"cited_paper":"/paper/2406.11781","citing_paper":"/paper/2501.01066"},"observation_digest":"sha256:08d515f5df646f61d9efa6894567b1bbe412bdd893f72846cfdef3723d7107c7","observation_id":"a9748aaf-b22a-4819-8a07-b4b4261380ae","resolution":{"observed_at":"2026-08-10T22:40:55.661845Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.11781","last_updated":"2024-06-17T17:35:54Z","snapshot_observed_at":"2026-07-06T18:32:23.999019Z","submitted_at":"2024-06-17T17:35:54Z","title":"DiffMM: Multi-Modal Diffusion Model for Recommendation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.11781","snapshot_observed_at":"2026-08-10T17:48:04.628285Z","title":"CoRR abs/2406.11781 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.11916","last_updated":"2025-02-22T06:40:08Z","snapshot_observed_at":"2026-08-10T17:40:43.923951Z","submitted_at":"2025-01-21T06:43:16Z","title":"Generating with Fairness: A Modality-Diffused Counterfactual Framework for Incomplete Multimodal Recommendations","version":4},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-10T17:48:04.628285Z"},"links":{"cited_paper":"/paper/2406.11781","citing_paper":"/paper/2501.11916"},"observation_digest":"sha256:7931f1f9202f393f194839a5e1338466e2c1a22fa386a13b8ec16e93e26cdc8b","observation_id":"8c369a67-72f5-469a-bf9c-f911fabcff1d","resolution":{"observed_at":"2026-08-10T17:48:04.628285Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.11781","last_updated":"2024-06-17T17:35:54Z","snapshot_observed_at":"2026-07-06T18:32:23.999019Z","submitted_at":"2024-06-17T17:35:54Z","title":"DiffMM: Multi-Modal Diffusion Model for Recommendation","version":1},"cited_work":{"arxiv_id":"2406.11781","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.11781","snapshot_observed_at":"2026-08-06T15:17:10.733995Z","title":"DiffMM: Multi-Modal Diffusion Model for Recommendation","venue":"cs.IR","work_id":"fb24cf02-3c63-436c-9950-e39363244672","year":2024},"citing_paper":{"arxiv_id":"2507.16396","last_updated":"2025-07-22T09:47:56Z","snapshot_observed_at":"2026-08-10T21:03:17.671703Z","submitted_at":"2025-07-22T09:47:56Z","title":"Knowledge-aware Diffusion-Enhanced Multimedia Recommendation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T15:17:06.572291Z"},"links":{"cited_paper":"/paper/2406.11781","citing_paper":"/paper/2507.16396"},"observation_digest":"sha256:9f3e9de7b01ee26aa39938f2967b1e8742c5a19a2acefaa72d4df0dbff104d19","observation_id":"af59c163-ef1c-4e18-8390-6e5ae79c156f","resolution":{"observed_at":"2026-08-06T15:17:10.825076Z","resolver_source":"local_arxiv","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":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2406.11781/citation-record","integrity":"/paper/2406.11781/integrity","json":"/paper/2406.11781/citation-record.json","paper":"/paper/2406.11781"},"outbound":[],"paper":{"arxiv_id":"2406.11781","last_updated":"2024-06-17T17:35:54Z","latest_version":1,"primary_category":"cs.IR","snapshot_observed_at":"2026-07-06T18:32:23.999019Z","submitted_at":"2024-06-17T17:35:54Z","title":"DiffMM: Multi-Modal Diffusion Model for Recommendation"},"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:2406.11781."}