{"as_of":"2026-08-11T02:50:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ab445da0f2bd1fefdebce7cffef72808dad3e1e07e020f7f4b8fd2d6b5401f34","coverage":[{"denominator":45,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":45,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T15:17:10.571811Z","state":"measured"},{"denominator":45,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":45,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2507.16396/citation-record","integrity":"/paper/2507.16396/integrity","json":"/paper/2507.16396/citation-record.json","paper":"/paper/2507.16396"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:17:18.038451Z","title":"End-to-end attention-based large vocabulary speech recognition","venue":null,"work_id":"e9699389-53c2-4484-ab58-62714ab3b9b6","year":2016},"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":1,"source":"pdf_text","source_observed_at":"2026-08-06T15:17:06.028613Z"},"links":{"citing_paper":"/paper/2507.16396"},"observation_digest":"sha256:db9cae7faa3ef25df47ffb29a239147daf1af410c9c6347ac883a093dea4a29e","observation_id":"5e313d12-3e2d-4b21-bb72-1ff160e622dd","resolution":{"observed_at":"2026-08-06T15:17:18.043769Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:17:18.018386Z","title":"Adaptive anti-bottleneck multi- modal graph learning network for personalized micro- video recommendation","venue":null,"work_id":"9d383ef6-0c67-461d-918f-4e1f9386d2f8","year":2022},"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":2,"source":"pdf_text","source_observed_at":"2026-08-06T15:17:06.101311Z"},"links":{"citing_paper":"/paper/2507.16396"},"observation_digest":"sha256:26c908948672225c07b44250eb42ed5c0e02df67d57967b95a24a58bef9fae17","observation_id":"82763c87-cf68-4eb2-a4b1-a2801623c755","resolution":{"observed_at":"2026-08-06T15:17:18.024137Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:17:18.001255Z","title":"Kankanhalli","venue":null,"work_id":"02d2777f-543a-421c-ae83-d8b2e1d99020","year":2019},"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":3,"source":"pdf_text","source_observed_at":"2026-08-06T15:17:06.300592Z"},"links":{"citing_paper":"/paper/2507.16396"},"observation_digest":"sha256:47303a41caa060f351ef5bbc608666052365a7505d7aa320c9a881a36931f166","observation_id":"67346d42-1593-4639-9afa-a843768325d1","resolution":{"observed_at":"2026-08-06T15:17:18.005860Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:17:17.985881Z","title":"Lightgcn: Simplifying and powering graph convolution network for recom- mendation","venue":null,"work_id":"3d39883c-b5be-4bec-af06-6abd05311e5c","year":2020},"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":4,"source":"pdf_text","source_observed_at":"2026-08-06T15:17:06.446366Z"},"links":{"citing_paper":"/paper/2507.16396"},"observation_digest":"sha256:42ee5eb0fb6e911201e34eb42af0c3d00f32240a289076bdd12ac1cf324cd285","observation_id":"920247aa-a258-48b0-9d60-c4767a132954","resolution":{"observed_at":"2026-08-06T15:17:17.990328Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"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":"sha256:70c290ec9b34c5a66f9833abe3b12e491eb36beea17f129109ef8bec9949abb6","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 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:17:17.971015Z","title":"Diffkg: Knowledge graph diffusion model for recommendation","venue":null,"work_id":"50834aa7-dddf-4bca-9f11-110a53b291e2","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":6,"source":"pdf_text","source_observed_at":"2026-08-06T15:17:06.652592Z"},"links":{"citing_paper":"/paper/2507.16396"},"observation_digest":"sha256:58ea609797db2a72c9973e1743e7a364b070e304602231fa99a222aa7f3d9f5e","observation_id":"55938502-89c8-451f-9e8b-2d5562029dc3","resolution":{"observed_at":"2026-08-06T15:17:17.976287Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:17:17.957342Z","title":"MONET: modality-embracing graph convolutional network and target-aware attention for multimedia rec- ommendation","venue":null,"work_id":"36859144-ed2f-4fff-b8f4-5ff503a9088a","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":7,"source":"pdf_text","source_observed_at":"2026-08-06T15:17:06.735858Z"},"links":{"citing_paper":"/paper/2507.16396"},"observation_digest":"sha256:4682289ea5d58bb7b09088636920be61a18a731a42334adde436335517165338","observation_id":"2c110768-e607-4df6-ba09-8f03f0fee522","resolution":{"observed_at":"2026-08-06T15:17:17.961661Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:17:17.937463Z","title":"Spatial-temporal bi- partite graph attention network for traffic forecasting","venue":null,"work_id":"b5403531-2616-4207-8e53-9eba0730a078","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":8,"source":"pdf_text","source_observed_at":"2026-08-06T15:17:06.824049Z"},"links":{"citing_paper":"/paper/2507.16396"},"observation_digest":"sha256:ed7caf0f3fd80c10f616daa3106cd1ca9823d272742091c9a9e7866cc9daf894","observation_id":"66ec5191-5eec-4305-9f59-6e2cc4ac6a3b","resolution":{"observed_at":"2026-08-06T15:17:17.946099Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:17:17.912669Z","title":"Improving graph collaborative filtering with neighborhood-enriched contrastive learning","venue":null,"work_id":"f024025c-4a8b-41a9-a976-ddbbe9d49a37","year":2022},"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":9,"source":"pdf_text","source_observed_at":"2026-08-06T15:17:06.943112Z"},"links":{"citing_paper":"/paper/2507.16396"},"observation_digest":"sha256:702ae58b7ea92eff1573bd0801388aff72ed902937a285873ff3f8e43897e19e","observation_id":"0c2c0308-c71a-4699-a5fb-109d500617dc","resolution":{"observed_at":"2026-08-06T15:17:17.921595Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:17:17.885973Z","title":"Yuille, Jonathan Huang, and Kevin Murphy","venue":null,"work_id":"eb64ad17-75b9-464a-aff8-cdaac8d15991","year":2018},"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":10,"source":"pdf_text","source_observed_at":"2026-08-06T15:17:07.060035Z"},"links":{"citing_paper":"/paper/2507.16396"},"observation_digest":"sha256:f925a5cdbf1c36222ef6596e0b10830908356190ea9c6459c7f996d42a0f7788","observation_id":"3973f07d-23b0-4bbd-a0e3-1dfd0cf36c32","resolution":{"observed_at":"2026-08-06T15:17:17.897396Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:17:17.861707Z","title":"Multimodal graph contrastive learning for multimedia-based recommendation","venue":null,"work_id":"2c3c4f95-c933-410a-afae-8d2586c92329","year":2023},"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":11,"source":"pdf_text","source_observed_at":"2026-08-06T15:17:07.142372Z"},"links":{"citing_paper":"/paper/2507.16396"},"observation_digest":"sha256:dd1e3d13184ff4cde745bb0e38c07e851378eae61879f831d5f35e0079c5e1b2","observation_id":"93fbfb27-835c-4899-90a6-ea41f6347430","resolution":{"observed_at":"2026-08-06T15:17:17.870543Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:17:17.833210Z","title":"MEGCF: multimodal entity graph collaborative filtering for personalized recommendation","venue":null,"work_id":"47c998ba-2b39-4f86-9d19-6f4ceb3cc318","year":2023},"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":12,"source":"pdf_text","source_observed_at":"2026-08-06T15:17:07.249137Z"},"links":{"citing_paper":"/paper/2507.16396"},"observation_digest":"sha256:d32176139ff633372b77b2aa7046662f8f17b5ffb1cf420f5dec4982008a6d19","observation_id":"af008c54-b754-453f-8d10-cb2572ab0710","resolution":{"observed_at":"2026-08-06T15:17:17.844995Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:17:17.800156Z","title":"Multimodal hierarchical graph collab- orative filtering for multimedia-based recommendation","venue":null,"work_id":"7ad43fc3-f457-4e4a-99c9-b133e882c1fd","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":13,"source":"pdf_text","source_observed_at":"2026-08-06T15:17:07.334295Z"},"links":{"citing_paper":"/paper/2507.16396"},"observation_digest":"sha256:a7054a585c0903ce75be1c55959de67a30f17acae3104a4d4ca014b42793ffa5","observation_id":"3d75c0ef-cd84-4cef-bb21-0ea293fe6dfd","resolution":{"observed_at":"2026-08-06T15:17:17.818042Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:17:17.515872Z","title":"Diffusion augmentation for sequential recommendation","venue":null,"work_id":"cb1d18d9-400d-4758-9dbc-2a6485b4af5f","year":2023},"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":14,"source":"pdf_text","source_observed_at":"2026-08-06T15:17:07.399300Z"},"links":{"citing_paper":"/paper/2507.16396"},"observation_digest":"sha256:f64a2afdf8ef95c0dd56c1c99782d8c5081b9c7c536811f088b2b0b7154dbb37","observation_id":"603399e5-b089-482c-b001-191bd5a8d58a","resolution":{"observed_at":"2026-08-06T15:17:17.661746Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:17:17.294505Z","title":"Multi-modal contrastive pre-training for recommendation","venue":null,"work_id":"cd9dabf4-1c73-4524-93df-5a911a3c12ed","year":2022},"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":15,"source":"pdf_text","source_observed_at":"2026-08-06T15:17:07.549409Z"},"links":{"citing_paper":"/paper/2507.16396"},"observation_digest":"sha256:007ccf395eb6b94664ad508a2ae24df304d8641c6701b141a974db976f5611cb","observation_id":"0c90665d-556a-4df3-90b5-52a8bc48aff9","resolution":{"observed_at":"2026-08-06T15:17:17.377857Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:17:17.080248Z","title":"Plug-in diffusion model for sequential recommendation","venue":null,"work_id":"ef461910-ba3d-4cfd-80e5-efc1630284ed","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":16,"source":"pdf_text","source_observed_at":"2026-08-06T15:17:07.707191Z"},"links":{"citing_paper":"/paper/2507.16396"},"observation_digest":"sha256:e2d60064072bb347406c4b9fbb9acb13e48d8ba0c4199b2032be92a1c0ca448b","observation_id":"fdb905b1-08f3-48c5-9eb3-95f582a587c0","resolution":{"observed_at":"2026-08-06T15:17:17.165070Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:17:16.849275Z","title":null,"venue":null,"work_id":"901f3950-3787-4cd1-aca8-1b2cd6625a61","year":2020},"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":17,"source":"pdf_text","source_observed_at":"2026-08-06T15:17:07.784167Z"},"links":{"citing_paper":"/paper/2507.16396"},"observation_digest":"sha256:3a4f6d106bd31103d2d65cd3587fb81563af3c4582bda2e1eb4bb2c871de1fd2","observation_id":"40622190-2d60-43be-991d-9a36423bf4c2","resolution":{"observed_at":"2026-08-06T15:17:16.968509Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:17:16.743929Z","title":null,"venue":null,"work_id":"17c30ab8-19fa-41ba-bd27-9395c0b9f7d6","year":2019},"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":18,"source":"pdf_text","source_observed_at":"2026-08-06T15:17:07.858210Z"},"links":{"citing_paper":"/paper/2507.16396"},"observation_digest":"sha256:4faa32394356d8384e6451b391fad1637e7bd22b20b93990a349ddd63ad44cbf","observation_id":"83361129-9642-44b5-ae92-fd1be8a9f4c9","resolution":{"observed_at":"2026-08-06T15:17:16.818132Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:17:16.609584Z","title":"Invited talk: U-net convolutional networks for biomedical image segmentation","venue":null,"work_id":"80a47b2d-9e51-4913-881c-42d4ccd7e431","year":2017},"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":19,"source":"pdf_text","source_observed_at":"2026-08-06T15:17:07.973753Z"},"links":{"citing_paper":"/paper/2507.16396"},"observation_digest":"sha256:fe6e96b02fd0eedf3b6c92540cbdc34e45cc95eeffa7ab5a4eba50f203b13086","observation_id":"6fa8f820-0b55-490a-87f9-fca8c7e8d7a2","resolution":{"observed_at":"2026-08-06T15:17:16.643190Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:17:16.454873Z","title":"Supervis- ing model attention with human explanations for robust natural language inference","venue":null,"work_id":"445a20d4-6601-4b76-b72f-596b3a69457a","year":2022},"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":20,"source":"pdf_text","source_observed_at":"2026-08-06T15:17:08.022032Z"},"links":{"citing_paper":"/paper/2507.16396"},"observation_digest":"sha256:5cc724421fc58f544601e765e0d63f68689cf073dd02eda235aed89f64b4aee0","observation_id":"04c4c1af-9904-436b-abd5-6c73f2e5eeb1","resolution":{"observed_at":"2026-08-06T15:17:16.522682Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:17:16.267258Z","title":"Self- supervised learning for multimedia recommendation","venue":null,"work_id":"2e7f3b2a-75a3-4317-9882-48269de6d51c","year":2023},"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":21,"source":"pdf_text","source_observed_at":"2026-08-06T15:17:08.123176Z"},"links":{"citing_paper":"/paper/2507.16396"},"observation_digest":"sha256:f3b6df67c4b93d9f753239881ca177f74b46ab585c680315f665d737b7b23ba6","observation_id":"b7417754-b0ac-4ce1-8022-119edf5b6d25","resolution":{"observed_at":"2026-08-06T15:17:16.341639Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:17:16.108271Z","title":"MGAT: multimodal graph attention network for recommendation","venue":null,"work_id":"cf1bfbbb-6f04-4206-967c-5e2cd6d7eec4","year":2020},"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":22,"source":"pdf_text","source_observed_at":"2026-08-06T15:17:08.265012Z"},"links":{"citing_paper":"/paper/2507.16396"},"observation_digest":"sha256:59b37a4629a19b2da13aa7fdca93638eb1fcda0ac6312f286951df5d8e4f12d9","observation_id":"54540df0-74e4-4a48-9104-6df007df1103","resolution":{"observed_at":"2026-08-06T15:17:16.188709Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:17:15.929258Z","title":"Nation-wide touristic flow prediction with graph neural networks and heterogeneous open data","venue":null,"work_id":"d01cb24c-f0cd-405d-8084-e2142940f58c","year":2023},"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":23,"source":"pdf_text","source_observed_at":"2026-08-06T15:17:08.360755Z"},"links":{"citing_paper":"/paper/2507.16396"},"observation_digest":"sha256:85831b7277a56f44345ea5a07a0e3baacc78453e238d70980fbc751ff4b17b4e","observation_id":"7fbe0fcc-96d9-4649-8ad3-9e9cb0c7f05a","resolution":{"observed_at":"2026-08-06T15:17:16.017310Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1807.03748","last_updated":"2019-01-22T18:47:12Z","snapshot_observed_at":"2026-07-06T06:49:24.960992Z","submitted_at":"2018-07-10T16:52:11Z","title":"Representation Learning with Contrastive Predictive Coding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1807.03748","snapshot_observed_at":"2026-08-06T15:17:08.472105Z","title":"Rep- resentation learning with contrastive predictive coding","venue":null,"work_id":null,"year":2018},"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":24,"source":"pdf_text","source_observed_at":"2026-08-06T15:17:08.472105Z"},"links":{"cited_paper":"/paper/1807.03748","citing_paper":"/paper/2507.16396"},"observation_digest":"sha256:fa13fd274c49d0ea21efa4b0e98712b137334e04a56dcad3b7edeed763a0bc8a","observation_id":"d0ea5a0d-6216-45b4-8241-7891b5a45fed","resolution":{"observed_at":"2026-08-06T15:17:08.472105Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:17:15.738136Z","title":"Mul- 12 timodal entity linking with gated hierarchical fusion and contrastive training","venue":null,"work_id":"fb6d85ea-b0f7-4bc1-8825-d55412337a1a","year":2022},"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":25,"source":"pdf_text","source_observed_at":"2026-08-06T15:17:08.585586Z"},"links":{"citing_paper":"/paper/2507.16396"},"observation_digest":"sha256:cb4b4a47f36a3eb5450d76c37f4372e7963801de920971137f9c0f2b3c37ba1f","observation_id":"bbf6bc61-854b-491c-adb3-b4fac5649b72","resolution":{"observed_at":"2026-08-06T15:17:15.827651Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:17:15.548421Z","title":"Dualgnn: Dual graph neural network for multimedia recommendation","venue":null,"work_id":"872b3f00-6e96-49d1-bddd-b68155b42ded","year":2023},"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":26,"source":"pdf_text","source_observed_at":"2026-08-06T15:17:08.671971Z"},"links":{"citing_paper":"/paper/2507.16396"},"observation_digest":"sha256:1b5534407d245b1b88c01dcb437937fecdc490c57c2a0494fe5d4552dff60c91","observation_id":"1db17f74-c65c-455c-8c3f-2ca2f870a86f","resolution":{"observed_at":"2026-08-06T15:17:15.638071Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:17:15.366219Z","title":"What your images reveal: Exploiting visual contents for point-of-interest recom- mendation","venue":null,"work_id":"47576966-9045-4380-8fcb-72309ef070ee","year":2017},"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":27,"source":"pdf_text","source_observed_at":"2026-08-06T15:17:08.749722Z"},"links":{"citing_paper":"/paper/2507.16396"},"observation_digest":"sha256:952dd5a21cc342413147a19abb28232ea60a5fe606935c6ca9a4ad94fdcfd995","observation_id":"a2fe1178-c510-4a04-a7bc-18f9dd1be994","resolution":{"observed_at":"2026-08-06T15:17:15.448495Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:17:15.216511Z","title":"KGAT: knowledge graph attention net- work for recommendation","venue":null,"work_id":"f5223486-bdff-4a2e-8bb6-1dbd203db6b3","year":2019},"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":28,"source":"pdf_text","source_observed_at":"2026-08-06T15:17:08.916134Z"},"links":{"citing_paper":"/paper/2507.16396"},"observation_digest":"sha256:068e34f968013fe070629ffd5f26ef437730767e9cc0150e2a1ce0d75903c05f","observation_id":"d0eadac8-5683-46ef-89ae-ac85da8ea9fd","resolution":{"observed_at":"2026-08-06T15:17:15.269553Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:17:14.941472Z","title":"Neural graph collaborative filtering","venue":null,"work_id":"21c2d328-e432-44da-91b5-ca6213ae6bed","year":2019},"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":29,"source":"pdf_text","source_observed_at":"2026-08-06T15:17:09.027783Z"},"links":{"citing_paper":"/paper/2507.16396"},"observation_digest":"sha256:e742d63022b79f68d75c39ae4a6af948e17bc6d744c7fd5c49eea3d48ec1cebc","observation_id":"e541ef83-b95a-42df-8252-2c183ebdf0f7","resolution":{"observed_at":"2026-08-06T15:17:15.079158Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:17:14.645611Z","title":"Blaschko","venue":null,"work_id":"f8ea8516-5b6e-479b-b9e0-2d8bfe196f8d","year":2023},"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":30,"source":"pdf_text","source_observed_at":"2026-08-06T15:17:09.122011Z"},"links":{"citing_paper":"/paper/2507.16396"},"observation_digest":"sha256:11b1ba561bd6bbadbc98d901ed136637ef4f68b258356a96871a1e4c401a0b47","observation_id":"a550a49a-318b-4b50-a764-e238278ebeb9","resolution":{"observed_at":"2026-08-06T15:17:14.802389Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:17:14.403208Z","title":"Hierarchical user intent graph network for multimedia recommendation","venue":null,"work_id":"055c8449-128e-4c1e-8431-5cc11a01e9d2","year":2022},"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":31,"source":"pdf_text","source_observed_at":"2026-08-06T15:17:09.199349Z"},"links":{"citing_paper":"/paper/2507.16396"},"observation_digest":"sha256:1c1b4bbf7527b118330d44f693212c317dad2c4951f72d64a4518e927f506dc3","observation_id":"763632a4-266f-402f-a832-ac6c266b674b","resolution":{"observed_at":"2026-08-06T15:17:14.513017Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:17:14.119320Z","title":"Contrastive learning for cold-start recommendation","venue":null,"work_id":"1b833580-75cb-48c3-9c15-ee31dccd6b0b","year":2021},"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":32,"source":"pdf_text","source_observed_at":"2026-08-06T15:17:09.275827Z"},"links":{"citing_paper":"/paper/2507.16396"},"observation_digest":"sha256:77ed108e3479feca30a07253f0659429dceb8e829312e19bf43338a334ec7782","observation_id":"19627bf5-240f-4ef5-b739-03cf3c5814bf","resolution":{"observed_at":"2026-08-06T15:17:14.241837Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:17:13.869070Z","title":"Graph-refined convolutional network for multimedia recommendation with implicit feedback","venue":null,"work_id":"3b8fc5b9-0081-489e-906d-c6979db0ab34","year":2020},"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":33,"source":"pdf_text","source_observed_at":"2026-08-06T15:17:09.342966Z"},"links":{"citing_paper":"/paper/2507.16396"},"observation_digest":"sha256:b771f9039fe9fa28d97a8e473d328f26fe0054a02182d348d8a10ced25a7ef2d","observation_id":"1707a35b-12d5-4296-88ab-547a655eb22c","resolution":{"observed_at":"2026-08-06T15:17:13.971718Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:17:13.552545Z","title":"MMGCN: multi- modal graph convolution network for personalized rec- ommendation of micro-video","venue":null,"work_id":"7e356eb7-6a55-444a-8471-e4255ecf23e8","year":2019},"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":34,"source":"pdf_text","source_observed_at":"2026-08-06T15:17:09.448427Z"},"links":{"citing_paper":"/paper/2507.16396"},"observation_digest":"sha256:6bee392027be21b8433e2809aa38d7a811c54c93c568d0b0dc88734377ae2693","observation_id":"af2b8258-ca7e-46ec-8597-1a22ec5c6597","resolution":{"observed_at":"2026-08-06T15:17:13.733152Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:17:13.303953Z","title":"Self-supervised graph learning for recommendation","venue":null,"work_id":"e8c367eb-3010-4b43-a695-4ef272887eb5","year":2021},"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":35,"source":"pdf_text","source_observed_at":"2026-08-06T15:17:09.533252Z"},"links":{"citing_paper":"/paper/2507.16396"},"observation_digest":"sha256:cb98d6e7eb77c06b8e7b801d0c98e6ef8d1381c7afe5d7632c3d33bc2eafc420","observation_id":"11a07aaa-a9ce-47ba-8517-13e3ffd2019e","resolution":{"observed_at":"2026-08-06T15:17:13.438063Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:17:13.005646Z","title":"Diff4rec: Sequential rec- ommendation with curriculum-scheduled diffusion aug- mentation","venue":null,"work_id":"47cd3eb5-581f-4873-ab8f-269e6ff5a43e","year":2023},"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":36,"source":"pdf_text","source_observed_at":"2026-08-06T15:17:09.632725Z"},"links":{"citing_paper":"/paper/2507.16396"},"observation_digest":"sha256:608f815f1a12cfcce98e6586a414cd10d8486791922f8075d73e6ab937ef7a32","observation_id":"6800ed0c-703d-4903-a972-bcf5e10373eb","resolution":{"observed_at":"2026-08-06T15:17:13.138318Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:17:12.705510Z","title":null,"venue":null,"work_id":"6c5ae974-92a0-4b3a-b775-4282bdd77e6c","year":2022},"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":37,"source":"pdf_text","source_observed_at":"2026-08-06T15:17:09.745655Z"},"links":{"citing_paper":"/paper/2507.16396"},"observation_digest":"sha256:c8b26703ba86041520251ae6a399fc7c298f374350200dff0fb1e907ba507772","observation_id":"4b20c76b-7cf8-4f0d-9ddf-852647165d1e","resolution":{"observed_at":"2026-08-06T15:17:12.848165Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:17:12.491080Z","title":null,"venue":null,"work_id":"be52773d-d05c-4200-bf13-5ed015d21b4d","year":2023},"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":38,"source":"pdf_text","source_observed_at":"2026-08-06T15:17:09.826439Z"},"links":{"citing_paper":"/paper/2507.16396"},"observation_digest":"sha256:48e328b04e2686787dc157ff4b1e1fba01d3a8d7245d123b946beed5c9a098a5","observation_id":"33858bc6-34ad-4251-bac9-70a1c0dc3386","resolution":{"observed_at":"2026-08-06T15:17:12.606732Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:17:12.233993Z","title":"Modal-aware bias constrained contrastive learning for multimodal recommendation","venue":null,"work_id":"6bacc76e-344d-428c-9773-2e7ec8576386","year":2023},"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":39,"source":"pdf_text","source_observed_at":"2026-08-06T15:17:09.907724Z"},"links":{"citing_paper":"/paper/2507.16396"},"observation_digest":"sha256:474ecb760ca2101fdbbe8901a77ee225217981144fbe32a05b169d95e13705d3","observation_id":"d03fd867-e1a5-4100-88a6-f17b4cf9bae3","resolution":{"observed_at":"2026-08-06T15:17:12.355614Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:17:11.913958Z","title":"Multi-modal graph contrastive learning for micro- video recommendation","venue":null,"work_id":"f90c940f-b69b-4fc0-bbee-91d4dd231c0c","year":2022},"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":40,"source":"pdf_text","source_observed_at":"2026-08-06T15:17:09.992266Z"},"links":{"citing_paper":"/paper/2507.16396"},"observation_digest":"sha256:4d5cf531286ee49aed710e8d0ea47cce0ba141227482b6986ad998c8354e9394","observation_id":"1876e9ce-e4ba-4487-8fb9-60bc7a5759d4","resolution":{"observed_at":"2026-08-06T15:17:12.042787Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:17:11.662800Z","title":"Multi-view graph convolutional network for multi- media recommendation","venue":null,"work_id":"134fdb8c-4d68-425c-83f9-6aa0d8209f8d","year":2023},"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":41,"source":"pdf_text","source_observed_at":"2026-08-06T15:17:10.106138Z"},"links":{"citing_paper":"/paper/2507.16396"},"observation_digest":"sha256:81d1eaf45cb9a3ffa48f2401c78f8d1598ece45213ff248e6826a9b3c27891d7","observation_id":"aaa0f7e4-a15f-44e1-865d-06f6087833f9","resolution":{"observed_at":"2026-08-06T15:17:11.778495Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:17:11.479862Z","title":"Latent structure mining with contrastive modality fusion for multimedia recommen- dation","venue":null,"work_id":"827205cf-2c23-4f25-a8cb-15442024c720","year":2023},"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":42,"source":"pdf_text","source_observed_at":"2026-08-06T15:17:10.277175Z"},"links":{"citing_paper":"/paper/2507.16396"},"observation_digest":"sha256:6e74e54cd4949df516d3a52e7aba4c4390dbc13b06fe35d99fb01cbda8db3b10","observation_id":"6592cd4f-8c35-419a-a964-a7877b679cc7","resolution":{"observed_at":"2026-08-06T15:17:11.563251Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:17:11.281349Z","title":"Network representation learning via improved random walk with restart","venue":null,"work_id":"18abbbda-26c2-43e9-ae5e-b3ea269319db","year":2023},"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":43,"source":"pdf_text","source_observed_at":"2026-08-06T15:17:10.400685Z"},"links":{"citing_paper":"/paper/2507.16396"},"observation_digest":"sha256:33af7dfde41bd0510111c6effba9f57aae6694b08d9dac31adf5f16884732310","observation_id":"320c7d3d-cc07-47c4-a859-25247673bd9d","resolution":{"observed_at":"2026-08-06T15:17:11.374431Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:17:11.107778Z","title":"Mixed-curvature knowledge- enhanced graph contrastive learning for recommendation","venue":null,"work_id":"95f29a3a-f83c-441f-a5a6-a5678017fde6","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":44,"source":"pdf_text","source_observed_at":"2026-08-06T15:17:10.483276Z"},"links":{"citing_paper":"/paper/2507.16396"},"observation_digest":"sha256:cebba8e3cd01938529de5c2b07529878f44b89fe8ccd634ad1bcc023a3e3e5ba","observation_id":"6dacaef6-1e95-4b2f-b286-4d0183a0cda5","resolution":{"observed_at":"2026-08-06T15:17:11.208913Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:17:10.911041Z","title":"Bootstrap latent representations for multi-modal recom- mendation","venue":null,"work_id":"12d93e7e-4ace-41b9-a5ba-efc962203e47","year":2023},"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":45,"source":"pdf_text","source_observed_at":"2026-08-06T15:17:10.571811Z"},"links":{"citing_paper":"/paper/2507.16396"},"observation_digest":"sha256:18eeb9a6849916449a01c2018b04343706e6bc8b1200d57f66caa531eb815668","observation_id":"aab548ca-ad79-49de-9dbf-2942b707e5c5","resolution":{"observed_at":"2026-08-06T15:17:10.996682Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.16396","last_updated":"2025-07-22T09:47:56Z","latest_version":1,"primary_category":"cs.MM","snapshot_observed_at":"2026-08-10T21:03:17.671703Z","submitted_at":"2025-07-22T09:47:56Z","title":"Knowledge-aware Diffusion-Enhanced Multimedia Recommendation"},"reference_resolution":{"displayed":45,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":5,"verified_exact":1,"verified_fuzzy":39},"total_outbound_references":45},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2507.16396."}