{"as_of":"2026-08-05T21:39:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:69735cfcd46c38590f2e79181c5dc55cc50e710e8dd209579f3b0b0021f1dea0","coverage":[{"denominator":41,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":41,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-13T18:51:48.634193Z","state":"measured"},{"denominator":41,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":41,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-05T06:32:48.257954+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/2604.03014/citation-record","integrity":"/paper/2604.03014/integrity","json":"/paper/2604.03014/citation-record.json","paper":"/paper/2604.03014"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"e9f06a7f-e774-4a7d-a6e4-f57e9957534a","year":2025},"citing_paper":{"arxiv_id":"2604.03014","last_updated":"2026-04-03T12:56:58Z","snapshot_observed_at":"2026-08-05T13:45:53.287992Z","submitted_at":"2026-04-03T12:56:58Z","title":"User-Aware Conditional Generative Total Correlation Learning for Multi-Modal Recommendation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-13T18:51:48.634193Z"},"links":{"citing_paper":"/paper/2604.03014"},"observation_digest":"sha256:0ef372d4d97c33a68e9b8f723bb07350c490fcf92d512783723a8dff9deaf733","observation_id":"f8b139b7-c7ed-4d38-894d-83e86c752461","resolution":{"observed_at":"2026-05-14T03:30:39.460784Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"838d1d04-4823-4d92-8e30-a895174ca9ad","year":2025},"citing_paper":{"arxiv_id":"2604.03014","last_updated":"2026-04-03T12:56:58Z","snapshot_observed_at":"2026-08-05T13:45:53.287992Z","submitted_at":"2026-04-03T12:56:58Z","title":"User-Aware Conditional Generative Total Correlation Learning for Multi-Modal Recommendation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-13T18:51:48.634193Z"},"links":{"citing_paper":"/paper/2604.03014"},"observation_digest":"sha256:ce2b2eb80331d2901f0a3c6fe7c33f211e5a7e31454355e121fb42f493856ddd","observation_id":"f95f2b80-006e-4719-a439-bedb8333db60","resolution":{"observed_at":"2026-05-14T03:30:39.441649Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"4a5c5609-feba-4705-b5ad-a4d65b8427ce","year":2022},"citing_paper":{"arxiv_id":"2604.03014","last_updated":"2026-04-03T12:56:58Z","snapshot_observed_at":"2026-08-05T13:45:53.287992Z","submitted_at":"2026-04-03T12:56:58Z","title":"User-Aware Conditional Generative Total Correlation Learning for Multi-Modal Recommendation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-13T18:51:48.634193Z"},"links":{"citing_paper":"/paper/2604.03014"},"observation_digest":"sha256:6dd772a884f024dcb3ecf4333604755b62f3cd94dff474310882e4ee84752d8f","observation_id":"1564d283-3560-46c3-99ae-5e87f3bfb312","resolution":{"observed_at":"2026-05-14T03:30:39.410701Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"d0957c17-a324-4c10-8d8f-ebdb4c62b4f4","year":null},"citing_paper":{"arxiv_id":"2604.03014","last_updated":"2026-04-03T12:56:58Z","snapshot_observed_at":"2026-08-05T13:45:53.287992Z","submitted_at":"2026-04-03T12:56:58Z","title":"User-Aware Conditional Generative Total Correlation Learning for Multi-Modal Recommendation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-13T18:51:48.634193Z"},"links":{"citing_paper":"/paper/2604.03014"},"observation_digest":"sha256:da9d8050f0b951b3fce58ec3a1955afd101ae2a4df687883ba4838f0b30e01a1","observation_id":"22356455-367b-4026-88f4-7a9d3b149d5c","resolution":{"observed_at":"2026-05-14T03:30:39.469670Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"InProceedings of the 30th ACM international conference on multimedia","venue":null,"work_id":"a3c04cd7-8e71-4ec0-b2df-fa9c0bac9bfe","year":null},"citing_paper":{"arxiv_id":"2604.03014","last_updated":"2026-04-03T12:56:58Z","snapshot_observed_at":"2026-08-05T13:45:53.287992Z","submitted_at":"2026-04-03T12:56:58Z","title":"User-Aware Conditional Generative Total Correlation Learning for Multi-Modal Recommendation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-13T18:51:48.634193Z"},"links":{"citing_paper":"/paper/2604.03014"},"observation_digest":"sha256:e6f49222f9f9d15648aef8ba211360fac5686e3f4e177b4906d99d95ecd20f30","observation_id":"31c3fe14-f644-4cf9-887c-f77b565383f7","resolution":{"observed_at":"2026-05-13T18:53:08.852428Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"80020e28-1242-4c43-8d4c-df7665958165","year":2023},"citing_paper":{"arxiv_id":"2604.03014","last_updated":"2026-04-03T12:56:58Z","snapshot_observed_at":"2026-08-05T13:45:53.287992Z","submitted_at":"2026-04-03T12:56:58Z","title":"User-Aware Conditional Generative Total Correlation Learning for Multi-Modal Recommendation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-13T18:51:48.634193Z"},"links":{"citing_paper":"/paper/2604.03014"},"observation_digest":"sha256:8aa5f9d657f5c74020eba8bc3db9855b772f52f0d2003e46059f6cf218708c27","observation_id":"ad8437f3-ecaf-4aa7-831c-7da719a92c77","resolution":{"observed_at":"2026-05-14T03:30:39.445860Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"f1c090a5-2cdb-4c8e-bba9-1588d2ff0af9","year":2024},"citing_paper":{"arxiv_id":"2604.03014","last_updated":"2026-04-03T12:56:58Z","snapshot_observed_at":"2026-08-05T13:45:53.287992Z","submitted_at":"2026-04-03T12:56:58Z","title":"User-Aware Conditional Generative Total Correlation Learning for Multi-Modal Recommendation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-13T18:51:48.634193Z"},"links":{"citing_paper":"/paper/2604.03014"},"observation_digest":"sha256:9c399bdf1a18217d8d8dc70d91ff8ed86f76eef87fd131a9da33b2d6b8fe96ce","observation_id":"c3f003e3-4a75-4aba-bc79-72cd821da624","resolution":{"observed_at":"2026-05-14T03:30:39.420582Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-09T09:06:07.077083Z","title":null,"venue":null,"work_id":"53738126-ed57-4a17-869b-8801ab1bfc8b","year":2016},"citing_paper":{"arxiv_id":"2604.03014","last_updated":"2026-04-03T12:56:58Z","snapshot_observed_at":"2026-08-05T13:45:53.287992Z","submitted_at":"2026-04-03T12:56:58Z","title":"User-Aware Conditional Generative Total Correlation Learning for Multi-Modal Recommendation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-13T18:51:48.634193Z"},"links":{"citing_paper":"/paper/2604.03014"},"observation_digest":"sha256:4e8c6edb6ee8714c3e29f7558a0a2146b637a913bb817201281ec0f0358fe043","observation_id":"4a25b029-fc9a-488e-aef5-4abdc32fbddc","resolution":{"observed_at":"2026-05-14T03:30:39.424234Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"2eb348ad-0ec0-4141-b1c8-b2534d486688","year":2020},"citing_paper":{"arxiv_id":"2604.03014","last_updated":"2026-04-03T12:56:58Z","snapshot_observed_at":"2026-08-05T13:45:53.287992Z","submitted_at":"2026-04-03T12:56:58Z","title":"User-Aware Conditional Generative Total Correlation Learning for Multi-Modal Recommendation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-13T18:51:48.634193Z"},"links":{"citing_paper":"/paper/2604.03014"},"observation_digest":"sha256:7551a8a980e0b19c00f973f07d52926908766d7b1b81b57af370a23045c749da","observation_id":"eb214a94-b41f-4322-b769-77d00726c16e","resolution":{"observed_at":"2026-05-14T03:30:39.433497Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-08T08:24:48.544051Z","title":null,"venue":null,"work_id":"62f4df05-4ff7-4e11-85e0-0bc0afebb7bc","year":2020},"citing_paper":{"arxiv_id":"2604.03014","last_updated":"2026-04-03T12:56:58Z","snapshot_observed_at":"2026-08-05T13:45:53.287992Z","submitted_at":"2026-04-03T12:56:58Z","title":"User-Aware Conditional Generative Total Correlation Learning for Multi-Modal Recommendation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-13T18:51:48.634193Z"},"links":{"citing_paper":"/paper/2604.03014"},"observation_digest":"sha256:8e5871ef8be905e9b48f5f9432f2a1ac60fd4ed0b2ea715c2d02b207fe76edc2","observation_id":"c6bc36a4-2aa6-4cad-9bbc-b0c1210a4a9d","resolution":{"observed_at":"2026-05-14T03:30:39.437609Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"53727e16-f452-4115-9e12-475e82f73a17","year":2022},"citing_paper":{"arxiv_id":"2604.03014","last_updated":"2026-04-03T12:56:58Z","snapshot_observed_at":"2026-08-05T13:45:53.287992Z","submitted_at":"2026-04-03T12:56:58Z","title":"User-Aware Conditional Generative Total Correlation Learning for Multi-Modal Recommendation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-13T18:51:48.634193Z"},"links":{"citing_paper":"/paper/2604.03014"},"observation_digest":"sha256:8896fd8719ae8115dacb0364aec3587f8e863c90f87f4151afe5c6480b600d1e","observation_id":"2378ebb2-6b10-4e3e-a4db-b54220f02350","resolution":{"observed_at":"2026-05-14T03:30:39.449839Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"f7218f94-94d8-4df6-b60e-e6da5e72b2da","year":2025},"citing_paper":{"arxiv_id":"2604.03014","last_updated":"2026-04-03T12:56:58Z","snapshot_observed_at":"2026-08-05T13:45:53.287992Z","submitted_at":"2026-04-03T12:56:58Z","title":"User-Aware Conditional Generative Total Correlation Learning for Multi-Modal Recommendation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-13T18:51:48.634193Z"},"links":{"citing_paper":"/paper/2604.03014"},"observation_digest":"sha256:d1602c259c71ae74adad27a1cec14d9ca6513e31399515002a05880c21bb040a","observation_id":"979dc4d5-b2e2-45fb-99fa-9d3fa76ea35e","resolution":{"observed_at":"2026-05-14T03:30:39.453442Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"72930e1a-9384-488b-823f-21a320285478","year":2024},"citing_paper":{"arxiv_id":"2604.03014","last_updated":"2026-04-03T12:56:58Z","snapshot_observed_at":"2026-08-05T13:45:53.287992Z","submitted_at":"2026-04-03T12:56:58Z","title":"User-Aware Conditional Generative Total Correlation Learning for Multi-Modal Recommendation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-13T18:51:48.634193Z"},"links":{"citing_paper":"/paper/2604.03014"},"observation_digest":"sha256:bb970338342ceba9825430ad591ec260d8d895813011e0f9733c4e049d7351d9","observation_id":"617ea9a4-fd65-478f-b978-f344e2eea2f0","resolution":{"observed_at":"2026-05-14T03:30:39.414920Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"a11c73f4-0886-4611-8d08-a61db824198b","year":null},"citing_paper":{"arxiv_id":"2604.03014","last_updated":"2026-04-03T12:56:58Z","snapshot_observed_at":"2026-08-05T13:45:53.287992Z","submitted_at":"2026-04-03T12:56:58Z","title":"User-Aware Conditional Generative Total Correlation Learning for Multi-Modal Recommendation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-13T18:51:48.634193Z"},"links":{"citing_paper":"/paper/2604.03014"},"observation_digest":"sha256:929504a877e352daae8b5872efbd9cfef2d0abe6b476c9dfc2b6ec512bacd8ea","observation_id":"f1060f59-d5c5-4dca-a9bb-8c565bd32840","resolution":{"observed_at":"2026-05-14T03:30:39.457086Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"InProceedings of the 2022 International Conference on Multimedia Retrieval","venue":null,"work_id":"9c3f053f-4ece-4342-9b4c-974396872945","year":2022},"citing_paper":{"arxiv_id":"2604.03014","last_updated":"2026-04-03T12:56:58Z","snapshot_observed_at":"2026-08-05T13:45:53.287992Z","submitted_at":"2026-04-03T12:56:58Z","title":"User-Aware Conditional Generative Total Correlation Learning for Multi-Modal Recommendation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-13T18:51:48.634193Z"},"links":{"citing_paper":"/paper/2604.03014"},"observation_digest":"sha256:61123788931edab47d3c6383d67c9954e7e7f968b1dfba3f776098e2bb709da7","observation_id":"b31ae250-99ca-48b4-8c10-950aee21a5da","resolution":{"observed_at":"2026-05-14T03:30:39.428659Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"bd443e1d-5c81-4cc8-8338-26ad125f20d7","year":2019},"citing_paper":{"arxiv_id":"2604.03014","last_updated":"2026-04-03T12:56:58Z","snapshot_observed_at":"2026-08-05T13:45:53.287992Z","submitted_at":"2026-04-03T12:56:58Z","title":"User-Aware Conditional Generative Total Correlation Learning for Multi-Modal Recommendation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-13T18:51:48.634193Z"},"links":{"citing_paper":"/paper/2604.03014"},"observation_digest":"sha256:034170e66abdb9eb9585e84c18b17d6beda3233bc591a6c151a069e7f1f1fb93","observation_id":"8b748ad1-b6f5-4f93-81f7-809935a054f1","resolution":{"observed_at":"2026-05-14T03:30:39.464741Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.14978","last_updated":"2024-12-19T15:53:21Z","snapshot_observed_at":"2026-07-06T20:10:15.143454Z","submitted_at":"2024-12-19T15:53:21Z","title":"Spectrum-based Modality Representation Fusion Graph Convolutional Network for Multimodal Recommendation","version":1},"cited_work":{"arxiv_id":"2412.14978","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.14978","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"5dc36818-ed98-4f01-85f1-9c2c0cc0fdec","year":2024},"citing_paper":{"arxiv_id":"2604.03014","last_updated":"2026-04-03T12:56:58Z","snapshot_observed_at":"2026-08-05T13:45:53.287992Z","submitted_at":"2026-04-03T12:56:58Z","title":"User-Aware Conditional Generative Total Correlation Learning for Multi-Modal Recommendation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-13T18:51:48.634193Z"},"links":{"cited_paper":"/paper/2412.14978","citing_paper":"/paper/2604.03014"},"observation_digest":"sha256:c10a9da6b9771712d0ab1fa82aa549e91a46a7d43acaf7c87deaeb9a33ab72ee","observation_id":"12505c63-898a-4eff-be6f-d6b6df5a560c","resolution":{"observed_at":"2026-05-13T18:53:08.291711Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"1807.03748","doi":"10.1609/aaai.v36i10.21390","metadata_source":"pith","pith_arxiv_id":"1807.03748","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Representation Learning with Contrastive Predictive Coding","venue":"cs.LG","work_id":"7b08a1d4-d565-424e-9c86-6ef244b7b90a","year":2018},"citing_paper":{"arxiv_id":"2604.03014","last_updated":"2026-04-03T12:56:58Z","snapshot_observed_at":"2026-08-05T13:45:53.287992Z","submitted_at":"2026-04-03T12:56:58Z","title":"User-Aware Conditional Generative Total Correlation Learning for Multi-Modal Recommendation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-13T18:51:48.634193Z"},"links":{"cited_paper":"/paper/1807.03748","citing_paper":"/paper/2604.03014"},"observation_digest":"sha256:ce3cac9f6cc7221976b723dcd378938ec3e0b64e39f8a94895027ba4bb385d89","observation_id":"72a5ed0a-5521-4fd8-8005-406ea29e2a76","resolution":{"observed_at":"2026-05-13T18:53:08.286199Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1908.10084","last_updated":"2019-08-27T08:50:17Z","snapshot_observed_at":"2026-07-06T08:17:05.681370Z","submitted_at":"2019-08-27T08:50:17Z","title":"Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks","version":1},"cited_work":{"arxiv_id":"1908.10084","doi":"10.48550/arxiv.1908.10084","metadata_source":"pith","pith_arxiv_id":"1908.10084","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks","venue":"cs.CL","work_id":"27adfcc9-2a67-43d6-a844-78309012411f","year":2019},"citing_paper":{"arxiv_id":"2604.03014","last_updated":"2026-04-03T12:56:58Z","snapshot_observed_at":"2026-08-05T13:45:53.287992Z","submitted_at":"2026-04-03T12:56:58Z","title":"User-Aware Conditional Generative Total Correlation Learning for Multi-Modal Recommendation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-13T18:51:48.634193Z"},"links":{"cited_paper":"/paper/1908.10084","citing_paper":"/paper/2604.03014"},"observation_digest":"sha256:6e09a0472cd2cd10850629adfcd2723ad436844f392c2b7df650af1780552722","observation_id":"80213019-5771-4786-8117-0d13b65cee99","resolution":{"observed_at":"2026-05-13T18:53:08.289268Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-07-12T06:19:15.148899+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T06:19:15.148899+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-08T18:25:26.404057Z","title":null,"venue":null,"work_id":"bb9cd5eb-65ef-4c81-9f66-b1cf7845eb13","year":null},"citing_paper":{"arxiv_id":"2604.03014","last_updated":"2026-04-03T12:56:58Z","snapshot_observed_at":"2026-08-05T13:45:53.287992Z","submitted_at":"2026-04-03T12:56:58Z","title":"User-Aware Conditional Generative Total Correlation Learning for Multi-Modal Recommendation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-13T18:51:48.634193Z"},"links":{"citing_paper":"/paper/2604.03014"},"observation_digest":"sha256:485017907de774b1aae0d373fd051ef412f50539e2f03df264d286dc091dea55","observation_id":"9e08d982-0c07-4819-b225-ff6887c72ef4","resolution":{"observed_at":"2026-05-13T18:53:08.823367Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1205.2618","last_updated":"2012-05-09T18:25:09Z","snapshot_observed_at":"2026-07-06T02:47:58.266745Z","submitted_at":"2012-05-09T18:25:09Z","title":"BPR: Bayesian Personalized Ranking from Implicit Feedback","version":1},"cited_work":{"arxiv_id":"1205.2618","doi":"10.48550/arxiv.1205.2618","metadata_source":"pith","pith_arxiv_id":"1205.2618","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"BPR: Bayesian Personalized Ranking from Implicit Feedback","venue":"cs.IR","work_id":"e9e76f86-6f7b-4653-b398-241edfc02639","year":2012},"citing_paper":{"arxiv_id":"2604.03014","last_updated":"2026-04-03T12:56:58Z","snapshot_observed_at":"2026-08-05T13:45:53.287992Z","submitted_at":"2026-04-03T12:56:58Z","title":"User-Aware Conditional Generative Total Correlation Learning for Multi-Modal Recommendation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-13T18:51:48.634193Z"},"links":{"cited_paper":"/paper/1205.2618","citing_paper":"/paper/2604.03014"},"observation_digest":"sha256:9e598b9740a08d873197016b0e382d5749f2272201c01c6ce9f382d3e8a5edb4","observation_id":"0ce799f6-0be4-4164-bc67-f60ecf2da966","resolution":{"observed_at":"2026-05-13T22:59:04.301080Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-05T05:30:43.309420Z","title":null,"venue":null,"work_id":"9cfbaada-324c-412b-aca2-b6aa7c286d36","year":2015},"citing_paper":{"arxiv_id":"2604.03014","last_updated":"2026-04-03T12:56:58Z","snapshot_observed_at":"2026-08-05T13:45:53.287992Z","submitted_at":"2026-04-03T12:56:58Z","title":"User-Aware Conditional Generative Total Correlation Learning for Multi-Modal Recommendation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-13T18:51:48.634193Z"},"links":{"citing_paper":"/paper/2604.03014"},"observation_digest":"sha256:4bf713cad62ff7a08cb6427a9283486056c09aa17ae708003ab5df9e496cf35c","observation_id":"b7191681-ad88-418d-b03e-2970e4042ebb","resolution":{"observed_at":"2026-05-13T18:53:08.845439Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"65a27a3a-bff5-4c6b-8115-0bc0beb8b456","year":2025},"citing_paper":{"arxiv_id":"2604.03014","last_updated":"2026-04-03T12:56:58Z","snapshot_observed_at":"2026-08-05T13:45:53.287992Z","submitted_at":"2026-04-03T12:56:58Z","title":"User-Aware Conditional Generative Total Correlation Learning for Multi-Modal Recommendation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-13T18:51:48.634193Z"},"links":{"citing_paper":"/paper/2604.03014"},"observation_digest":"sha256:9a59a48a2b165aa4b03c31f293e8fa5e8cdc2cca5014feae07be0478a00a1d6a","observation_id":"7153bddf-ec7c-43e3-9095-9cbace6c119e","resolution":{"observed_at":"2026-05-13T18:53:08.847283Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"7f432dc7-e5f9-410d-8857-ea56c905eed5","year":2022},"citing_paper":{"arxiv_id":"2604.03014","last_updated":"2026-04-03T12:56:58Z","snapshot_observed_at":"2026-08-05T13:45:53.287992Z","submitted_at":"2026-04-03T12:56:58Z","title":"User-Aware Conditional Generative Total Correlation Learning for Multi-Modal Recommendation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-13T18:51:48.634193Z"},"links":{"citing_paper":"/paper/2604.03014"},"observation_digest":"sha256:16fead8ebd9027fcc1d1e91b8cac5c53e668ebfdbdf4adf9904a3b0dfc15f596","observation_id":"94c1142c-a695-4f09-8336-6093a7edc92b","resolution":{"observed_at":"2026-05-13T18:53:08.839091Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-09T09:26:09.599187Z","title":null,"venue":null,"work_id":"cc7706e1-24dd-411e-b9a3-4ca23c1fe501","year":2017},"citing_paper":{"arxiv_id":"2604.03014","last_updated":"2026-04-03T12:56:58Z","snapshot_observed_at":"2026-08-05T13:45:53.287992Z","submitted_at":"2026-04-03T12:56:58Z","title":"User-Aware Conditional Generative Total Correlation Learning for Multi-Modal Recommendation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-13T18:51:48.634193Z"},"links":{"citing_paper":"/paper/2604.03014"},"observation_digest":"sha256:8c504229bcf432beaff449c264a7eaf36ada36527d3b103ef9f135f1f7bad7b2","observation_id":"93995d49-d0a5-4847-8649-f142100fb74c","resolution":{"observed_at":"2026-05-13T18:53:08.831877Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"6c680a64-0182-48aa-aaa0-e267b9a66f89","year":2021},"citing_paper":{"arxiv_id":"2604.03014","last_updated":"2026-04-03T12:56:58Z","snapshot_observed_at":"2026-08-05T13:45:53.287992Z","submitted_at":"2026-04-03T12:56:58Z","title":"User-Aware Conditional Generative Total Correlation Learning for Multi-Modal Recommendation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-13T18:51:48.634193Z"},"links":{"citing_paper":"/paper/2604.03014"},"observation_digest":"sha256:a291c69484f139a3f946fd32b1e8511879b80c2a90f434e05a1912d01d1ecb8a","observation_id":"5ecc8014-822f-4d45-89d4-bf28faedc01e","resolution":{"observed_at":"2026-05-13T18:53:08.833718Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"28d8abef-a4dd-4a21-b23d-49b54e29c12b","year":2022},"citing_paper":{"arxiv_id":"2604.03014","last_updated":"2026-04-03T12:56:58Z","snapshot_observed_at":"2026-08-05T13:45:53.287992Z","submitted_at":"2026-04-03T12:56:58Z","title":"User-Aware Conditional Generative Total Correlation Learning for Multi-Modal Recommendation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-13T18:51:48.634193Z"},"links":{"citing_paper":"/paper/2604.03014"},"observation_digest":"sha256:aaa8416d42c61ded51edd1de88c3a4a5847e86328314cd19c52aeca9a1bec4b1","observation_id":"fc66e047-584d-4319-aa22-fe1d0998e035","resolution":{"observed_at":"2026-05-13T18:53:08.843883Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"e6b73aec-576d-436c-9fac-5bcfde57aea7","year":1960},"citing_paper":{"arxiv_id":"2604.03014","last_updated":"2026-04-03T12:56:58Z","snapshot_observed_at":"2026-08-05T13:45:53.287992Z","submitted_at":"2026-04-03T12:56:58Z","title":"User-Aware Conditional Generative Total Correlation Learning for Multi-Modal Recommendation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-13T18:51:48.634193Z"},"links":{"citing_paper":"/paper/2604.03014"},"observation_digest":"sha256:cd2c64c8f5393e95591e7d36a0628dda5e19eebf00d6321867c6828c941ec1ea","observation_id":"142480fb-e665-477f-b0e6-bdf34155af2d","resolution":{"observed_at":"2026-05-13T18:53:08.842173Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"577f541e-a8f0-4d86-88ed-02c88796494b","year":2020},"citing_paper":{"arxiv_id":"2604.03014","last_updated":"2026-04-03T12:56:58Z","snapshot_observed_at":"2026-08-05T13:45:53.287992Z","submitted_at":"2026-04-03T12:56:58Z","title":"User-Aware Conditional Generative Total Correlation Learning for Multi-Modal Recommendation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-13T18:51:48.634193Z"},"links":{"citing_paper":"/paper/2604.03014"},"observation_digest":"sha256:5caf175053a4ce404f84c24213d13808043254d28635fbc676eda89085117a74","observation_id":"aefcef0c-24b9-496a-b886-c2ba9076f589","resolution":{"observed_at":"2026-05-13T18:53:08.827068Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"f93b7c4f-1a40-4869-9004-72e88e35e556","year":2019},"citing_paper":{"arxiv_id":"2604.03014","last_updated":"2026-04-03T12:56:58Z","snapshot_observed_at":"2026-08-05T13:45:53.287992Z","submitted_at":"2026-04-03T12:56:58Z","title":"User-Aware Conditional Generative Total Correlation Learning for Multi-Modal Recommendation","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-13T18:51:48.634193Z"},"links":{"citing_paper":"/paper/2604.03014"},"observation_digest":"sha256:cfdb8014dd7b8040eadbcaec24df191010f02966a1a6a5ae8db0097aba9350a6","observation_id":"ede7be29-dbe5-496a-b081-6c0b984d60ac","resolution":{"observed_at":"2026-05-13T18:53:08.848929Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"4b0241fa-80d9-4342-963e-e48a705399af","year":2024},"citing_paper":{"arxiv_id":"2604.03014","last_updated":"2026-04-03T12:56:58Z","snapshot_observed_at":"2026-08-05T13:45:53.287992Z","submitted_at":"2026-04-03T12:56:58Z","title":"User-Aware Conditional Generative Total Correlation Learning for Multi-Modal Recommendation","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-13T18:51:48.634193Z"},"links":{"citing_paper":"/paper/2604.03014"},"observation_digest":"sha256:026c84871fbe2a87dd412fcb6481af55fe966d117a93ce5fdb0e3e98fa12dc82","observation_id":"10132e56-8fff-48ec-b5cb-98e616f021ae","resolution":{"observed_at":"2026-05-13T18:53:08.835444Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"4e1b0c97-5b71-4a96-af7c-5a8a12e5dfcd","year":2023},"citing_paper":{"arxiv_id":"2604.03014","last_updated":"2026-04-03T12:56:58Z","snapshot_observed_at":"2026-08-05T13:45:53.287992Z","submitted_at":"2026-04-03T12:56:58Z","title":"User-Aware Conditional Generative Total Correlation Learning for Multi-Modal Recommendation","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-13T18:51:48.634193Z"},"links":{"citing_paper":"/paper/2604.03014"},"observation_digest":"sha256:534bbce9be529ac464545cc4c73efa03ae8a450b47580338d955ca2c88fb6175","observation_id":"a78e10d1-188c-4402-9d1b-6cb250bf2b6f","resolution":{"observed_at":"2026-05-13T18:53:08.828703Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"ecb55774-8788-4704-a34d-7857eb469b1e","year":2023},"citing_paper":{"arxiv_id":"2604.03014","last_updated":"2026-04-03T12:56:58Z","snapshot_observed_at":"2026-08-05T13:45:53.287992Z","submitted_at":"2026-04-03T12:56:58Z","title":"User-Aware Conditional Generative Total Correlation Learning for Multi-Modal Recommendation","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-13T18:51:48.634193Z"},"links":{"citing_paper":"/paper/2604.03014"},"observation_digest":"sha256:c9cc8368ae6a09156f6e05015b12cd1c3b6e62fc215f7d55b6f47c843bc9d627","observation_id":"8c0b4ae4-4531-44ac-947e-7d70b7f1b329","resolution":{"observed_at":"2026-05-13T18:53:08.825361Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"4bfcefec-d7e1-484a-8f9e-b7d2a13862c7","year":2025},"citing_paper":{"arxiv_id":"2604.03014","last_updated":"2026-04-03T12:56:58Z","snapshot_observed_at":"2026-08-05T13:45:53.287992Z","submitted_at":"2026-04-03T12:56:58Z","title":"User-Aware Conditional Generative Total Correlation Learning for Multi-Modal Recommendation","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-13T18:51:48.634193Z"},"links":{"citing_paper":"/paper/2604.03014"},"observation_digest":"sha256:ce71836bae10477ba7857d0963b84bbf3185ca9747260bac48b1247ecfdd8b22","observation_id":"86727ea6-a836-4d91-8deb-2289e808dd5b","resolution":{"observed_at":"2026-05-13T18:53:08.840572Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"d21e2bea-4553-4506-bb47-017f777cf9e2","year":null},"citing_paper":{"arxiv_id":"2604.03014","last_updated":"2026-04-03T12:56:58Z","snapshot_observed_at":"2026-08-05T13:45:53.287992Z","submitted_at":"2026-04-03T12:56:58Z","title":"User-Aware Conditional Generative Total Correlation Learning for Multi-Modal Recommendation","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-13T18:51:48.634193Z"},"links":{"citing_paper":"/paper/2604.03014"},"observation_digest":"sha256:5d41c7a5ea6933540997e2ce626e00515bec92b578869ffc9a979e89883d6c3b","observation_id":"5697d6d1-13a1-40b0-86d5-43f48c317cbb","resolution":{"observed_at":"2026-05-13T18:53:08.850601Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"InProceedings of the 29th ACM international conference on multimedia","venue":null,"work_id":"60fc4fb8-e808-4654-aa1a-bc5b93d22a89","year":null},"citing_paper":{"arxiv_id":"2604.03014","last_updated":"2026-04-03T12:56:58Z","snapshot_observed_at":"2026-08-05T13:45:53.287992Z","submitted_at":"2026-04-03T12:56:58Z","title":"User-Aware Conditional Generative Total Correlation Learning for Multi-Modal Recommendation","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-13T18:51:48.634193Z"},"links":{"citing_paper":"/paper/2604.03014"},"observation_digest":"sha256:e988e015c0f8b3219dbaa03732d74a65a108d3bd88847296cd7ef84ddb0976a0","observation_id":"8e13e930-fa81-4780-bf42-a803e9856255","resolution":{"observed_at":"2026-05-13T18:53:08.837390Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"12911aba-c800-4b77-84f6-d95ab5e2a84c","year":2020},"citing_paper":{"arxiv_id":"2604.03014","last_updated":"2026-04-03T12:56:58Z","snapshot_observed_at":"2026-08-05T13:45:53.287992Z","submitted_at":"2026-04-03T12:56:58Z","title":"User-Aware Conditional Generative Total Correlation Learning for Multi-Modal Recommendation","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-13T18:51:48.634193Z"},"links":{"citing_paper":"/paper/2604.03014"},"observation_digest":"sha256:69ae69dcf3440abd8e7ab014f95f8ed9eba3a224e80b8f4e43e9f85a0590ed4d","observation_id":"fa867432-121f-4e7c-9bd8-aaeced63154d","resolution":{"observed_at":"2026-05-13T18:53:08.821280Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"edc97b7b-3a9f-433d-b757-233a25a2dce5","year":2023},"citing_paper":{"arxiv_id":"2604.03014","last_updated":"2026-04-03T12:56:58Z","snapshot_observed_at":"2026-08-05T13:45:53.287992Z","submitted_at":"2026-04-03T12:56:58Z","title":"User-Aware Conditional Generative Total Correlation Learning for Multi-Modal Recommendation","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-13T18:51:48.634193Z"},"links":{"citing_paper":"/paper/2604.03014"},"observation_digest":"sha256:a2263e54784c10ed04b30d1cfcfbe18f77f42c2b3ec9c6b5d3a2a8de5a19fb93","observation_id":"14fca986-90df-4c6f-9014-d5c2eb97a5ce","resolution":{"observed_at":"2026-05-13T18:53:08.830290Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"39ed2402-85fb-437d-b908-2f6e81f181e9","year":null},"citing_paper":{"arxiv_id":"2604.03014","last_updated":"2026-04-03T12:56:58Z","snapshot_observed_at":"2026-08-05T13:45:53.287992Z","submitted_at":"2026-04-03T12:56:58Z","title":"User-Aware Conditional Generative Total Correlation Learning for Multi-Modal Recommendation","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-13T18:51:48.634193Z"},"links":{"citing_paper":"/paper/2604.03014"},"observation_digest":"sha256:fb36e75f0e8dbfe08f019ce233ffe407d9a5e0677c53c0121c78d112affc9d29","observation_id":"b4ebf4f3-0265-4187-9045-939f03e95591","resolution":{"observed_at":"2026-05-14T03:30:39.405641Z","resolver_source":"raw_fallback","status":"parse_uncertain"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"01b23df8-ae99-4f3d-bdff-028cdb66304a","year":2023},"citing_paper":{"arxiv_id":"2604.03014","last_updated":"2026-04-03T12:56:58Z","snapshot_observed_at":"2026-08-05T13:45:53.287992Z","submitted_at":"2026-04-03T12:56:58Z","title":"User-Aware Conditional Generative Total Correlation Learning for Multi-Modal Recommendation","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-13T18:51:48.634193Z"},"links":{"citing_paper":"/paper/2604.03014"},"observation_digest":"sha256:3265c34e1efe2eb33fd55ee75df273eac2fdfd1901894e374605e781c6376df9","observation_id":"d21b992d-94a2-4353-ba51-1b0e5ee92d16","resolution":{"observed_at":"2026-05-13T18:53:08.817855Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"93001677-ae64-46be-97a4-60c19ea1d583","year":2023},"citing_paper":{"arxiv_id":"2604.03014","last_updated":"2026-04-03T12:56:58Z","snapshot_observed_at":"2026-08-05T13:45:53.287992Z","submitted_at":"2026-04-03T12:56:58Z","title":"User-Aware Conditional Generative Total Correlation Learning for Multi-Modal Recommendation","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-13T18:51:48.634193Z"},"links":{"citing_paper":"/paper/2604.03014"},"observation_digest":"sha256:9102e173e150e275f3dfbfb0adccebbd3151dc46e880f068481e99ee6e5e3a0a","observation_id":"e4f551f2-ef23-4434-9313-0bc07c4b6b6d","resolution":{"observed_at":"2026-05-13T18:53:08.819384Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2604.03014","last_updated":"2026-04-03T12:56:58Z","latest_version":1,"primary_category":"cs.IR","snapshot_observed_at":"2026-08-05T13:45:53.287992Z","submitted_at":"2026-04-03T12:56:58Z","title":"User-Aware Conditional Generative Total Correlation Learning for Multi-Modal Recommendation"},"reference_resolution":{"displayed":41,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":1,"unresolved":33,"verified_exact":4,"verified_fuzzy":3},"total_outbound_references":41},"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":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"thesis":"As of 5 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2604.03014."}