{"as_of":"2026-08-06T06:13:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:758266b5643178471d98bbd6aed818a6147c22b491e9348b6f1c9ced254f954d","coverage":[{"denominator":78,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":78,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-13T16:59:06.735742Z","state":"measured"},{"denominator":81,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":81,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-05T06:32:48.257954+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T14:25:22.045978Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-06-29T20:43:58.728142Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"cited_work":{"arxiv_id":"2604.04976","doi":null,"metadata_source":"pith","pith_arxiv_id":"2604.04976","snapshot_observed_at":"2026-06-29T20:43:58.728142Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","venue":"cs.IR","work_id":"ded70bbc-e012-410b-9d2a-7eab3b93524b","year":2026},"citing_paper":{"arxiv_id":"2605.25583","last_updated":"2026-06-11T02:35:04Z","snapshot_observed_at":"2026-07-06T23:35:31.372756Z","submitted_at":"2026-05-25T08:33:11Z","title":"LENS: A Staged Design for Interaction Granularity in Sequential CTR Prediction","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-06-29T20:43:03.477109Z"},"links":{"cited_paper":"/paper/2604.04976","citing_paper":"/paper/2605.25583"},"observation_digest":"sha256:1772c57a17ef336b3e20c8312f7cd7a743fe7ad251713a1e9ae14251f668a1ad","observation_id":"361f4b13-3558-438e-bced-6bf9db4a182c","resolution":{"observed_at":"2026-06-29T20:43:58.730615Z","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":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2604.04976","snapshot_observed_at":"2026-08-01T14:25:22.045978Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18796","last_updated":"2026-07-22T08:19:23Z","snapshot_observed_at":"2026-08-06T05:08:09.939939Z","submitted_at":"2026-07-21T07:17:43Z","title":"TSGR: Taobao Search Generative Retrieval","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-01T14:25:22.045978Z"},"links":{"cited_paper":"/paper/2604.04976","citing_paper":"/paper/2607.18796"},"observation_digest":"sha256:fa4e23923cc6de9634b65d83672542602402807a6232d941be8edf391d6fa35b","observation_id":"0a4fe175-95a9-47dd-8dec-e9446210c2a1","resolution":{"observed_at":"2026-08-01T14:25:22.045978Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2604.04976","snapshot_observed_at":"2026-08-01T11:07:58.849909Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.19987","last_updated":"2026-07-23T07:54:02Z","snapshot_observed_at":"2026-08-05T16:19:08.107954Z","submitted_at":"2026-07-22T10:20:40Z","title":"UniRank: Benchmarking Ranking Models for Unified Sequential Modeling and Feature Interaction","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-01T11:07:58.849909Z"},"links":{"cited_paper":"/paper/2604.04976","citing_paper":"/paper/2607.19987"},"observation_digest":"sha256:988025873a843d42ac72e59b8932b629338a653e6f281f80bc64f1084e4625dc","observation_id":"38b36e29-94c0-459b-bc1c-9c472d006758","resolution":{"observed_at":"2026-08-01T11:07:58.849909Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2604.04976/citation-record","integrity":"/paper/2604.04976/integrity","json":"/paper/2604.04976/citation-record.json","paper":"/paper/2604.04976"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2504.10507","last_updated":"2026-06-18T21:53:22Z","snapshot_observed_at":"2026-07-06T21:09:17.062196Z","submitted_at":"2025-04-09T17:46:12Z","title":"PinRec: Unified Generative Retrieval for Pinterest Recommender Systems","version":7},"cited_work":{"arxiv_id":"2504.10507","doi":"10.48550/arxiv.2504.10507","metadata_source":"pith","pith_arxiv_id":"2504.10507","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Badrinath, P","venue":"cs.IR","work_id":"2dd1e9f2-dd74-4301-af2e-413e271f3aeb","year":2025},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"cited_paper":"/paper/2504.10507","citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:1b350cfd21d85978c937cbd17826409888e0ddf2e965d5ebf69ec596ea83384c","observation_id":"7795bb27-d1ba-4723-9b16-2915681d0d8e","resolution":{"observed_at":"2026-06-23T02:11:57.528699Z","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":"2026-05-25T20:53:22.789958+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T20:53:22.789958+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"adf4a916-7454-48b4-9359-95e3ac83d07d","year":2024},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:662f28627cdf3cae424827a60f58025ab9e3f5b984ac9f7aabee3532a7f416e3","observation_id":"e65de16c-b6e4-4973-aa71-c951ac15d300","resolution":{"observed_at":"2026-05-14T05:33:10.687408Z","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":"2505.04421","last_updated":"2025-07-18T13:29:47Z","snapshot_observed_at":"2026-08-03T00:36:25.391089Z","submitted_at":"2025-05-07T13:54:26Z","title":"LONGER: Scaling Up Long Sequence Modeling in Industrial Recommenders","version":2},"cited_work":{"arxiv_id":"2505.04421","doi":"10.48550/arxiv.2505.04421","metadata_source":"arxiv_reference","pith_arxiv_id":"2505.04421","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"ArXiv.org","work_id":"c482dac8-1427-41ff-8182-ed8a3c9a94f7","year":2025},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"cited_paper":"/paper/2505.04421","citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:eba3aa82064156b25b84c70541eebc30647bd7caa3d0ce3ab2d8141b8eb0e515","observation_id":"861e8642-17d3-4e98-b50b-9ef5d43e0f64","resolution":{"observed_at":"2026-05-13T17:03:00.477024Z","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":"10.1145/3539618","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":null,"work_id":"b8f1d87f-8c3c-48cd-88af-bf901e240374","year":2023},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:804c6a092a8bea1e78aa6a81105fabe86fc723fc9867a3634bd5c5a09bc5242f","observation_id":"e574380d-fcf7-4a02-85ec-633545fb08b7","resolution":{"observed_at":"2026-05-13T17:03:00.490334Z","resolver_source":"doi","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":"1606.07792","last_updated":"2016-06-24T19:07:02Z","snapshot_observed_at":"2026-07-06T05:01:15.606387Z","submitted_at":"2016-06-24T19:07:02Z","title":"Wide & Deep Learning for Recommender Systems","version":1},"cited_work":{"arxiv_id":"1606.07792","doi":null,"metadata_source":"pith","pith_arxiv_id":"1606.07792","snapshot_observed_at":"2026-06-30T15:34:48.791072Z","title":"Wide & Deep Learning for Recommender Systems","venue":"cs.LG","work_id":"1b495b57-3680-4e09-a84c-3a2dcc9aee37","year":2016},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"cited_paper":"/paper/1606.07792","citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:10256ccbed1b3dee35c7a3f4816bb8906c8ec4a5e30327b534a0ed1068ae7d4a","observation_id":"e0f4d2a0-d9cd-4572-b795-674922cf155f","resolution":{"observed_at":"2026-05-13T17:08:01.166425Z","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":"2026-07-05T22:41:31.893644Z","title":null,"venue":null,"work_id":"15271a55-5c79-4cdd-b2cb-9ad910540658","year":2022},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:cdf571ca917313ec6c5683f1dc63be187a1e50bc68cfa0b8a752d908d4bd4e8e","observation_id":"de148eec-8e48-4809-a922-73acd205e2fe","resolution":{"observed_at":"2026-05-14T05:33:10.674630Z","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":"2401.08281","last_updated":"2025-10-23T09:36:08Z","snapshot_observed_at":"2026-07-31T05:45:37.385210Z","submitted_at":"2024-01-16T11:12:36Z","title":"The Faiss library","version":4},"cited_work":{"arxiv_id":"2401.08281","doi":"10.48550/arxiv.2401.08281","metadata_source":"pith","pith_arxiv_id":"2401.08281","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The Faiss library","venue":"cs.LG","work_id":"41b4c732-3a63-4106-9e7c-50d61cfb2126","year":2024},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"cited_paper":"/paper/2401.08281","citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:aea8e17c938089a7ff165926b31e16bdc6258cbcbf55adf9d8e0abae9be73f59","observation_id":"d6f4e112-190e-4100-a3bd-027468f1839c","resolution":{"observed_at":"2026-05-13T17:03:01.576864Z","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":"2026-05-24T08:23:03.866957+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-24T08:23:03.866957+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.02604","last_updated":"2025-03-26T12:45:15Z","snapshot_observed_at":"2026-07-06T19:27:07.844117Z","submitted_at":"2024-10-03T15:45:15Z","title":"Long-Sequence Recommendation Models Need Decoupled Embeddings","version":3},"cited_work":{"arxiv_id":"2410.02604","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.02604","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"0bc24aa5-96ff-44bb-b105-f0ebac3b4c5c","year":2024},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"cited_paper":"/paper/2410.02604","citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:2fae3d75690a4443f8ebbaf8ba0f07ea22fab8490fc6de1676f03d01f6b37821","observation_id":"f8fe0601-2317-4f68-ab1a-833eab62c052","resolution":{"observed_at":"2026-05-13T17:03:01.580027Z","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":"10.24963/ijcai.2019/319","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":null,"work_id":"d40b202d-02f9-44ec-b296-ecd3bcf5e88d","year":2019},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:26993d908a097a67daa10509f33c24551a53128b6994760ccc7ad56f924b9749","observation_id":"8a87cf54-f343-4b25-a1a5-495c5142472d","resolution":{"observed_at":"2026-05-13T17:03:00.486962Z","resolver_source":"doi","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":"2509.20904","last_updated":"2026-05-27T18:07:26Z","snapshot_observed_at":"2026-08-04T15:17:06.661552Z","submitted_at":"2025-09-25T08:44:22Z","title":"FORGE: Forming Semantic Identifiers for Generative Retrieval in Industrial Datasets","version":3},"cited_work":{"arxiv_id":"2509.20904","doi":"10.48550/arxiv.2509.20904","metadata_source":"pith","pith_arxiv_id":"2509.20904","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"FORGE: Forming Semantic Identifiers for Generative Retrieval in Industrial Datasets","venue":"cs.IR","work_id":"fda9a11c-3b23-4a9c-8c2b-7ffbbc1ecb4b","year":2025},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"cited_paper":"/paper/2509.20904","citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:8ebefe97917a657f9858192ba1c28ad257102615c9d6edc68feb6de1922c042e","observation_id":"048bd580-d5b7-4ebe-affe-555f3d138ce3","resolution":{"observed_at":"2026-05-29T02:04:39.235074Z","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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"52ff40b1-8d5c-4624-8dab-42d4ea075862","year":2022},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:9f371283757ed89a65a6a160b0afed8a29d1bebc2d3ce5854d779bb3628b41a1","observation_id":"1447e4ea-262f-439a-a8fc-108e7dc719a6","resolution":{"observed_at":"2026-05-14T05:33:10.672028Z","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":"c463a7fe-e581-4cce-86b9-c3c00b50abd7","year":2022},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:8d7d2bde7d821ec6b7602f789b35c6f2e9dfd1b41a9fbc05e49336d3e28b51bc","observation_id":"6399aec5-a911-452a-904b-23588acd6d58","resolution":{"observed_at":"2026-05-14T05:33:10.648779Z","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":"2504.17432","doi":"10.48550/arxiv.2504.17432","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Breaking the modality barrier: Universal embedding learning with multimodal llms","venue":"ArXiv.org","work_id":"12d56cf5-f745-4f81-8bd1-7ff9a5ff65ad","year":2025},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:55951b52af65d3eb98d34eec9e9a8a62a5d3d6f646d9adfb9c5f1bbe1c5c3c44","observation_id":"f6ad8590-d50a-4182-a938-26678cd48bbf","resolution":{"observed_at":"2026-05-13T17:08:01.098252Z","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":"10.24963/ijcai.2017/239","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"DeepFM: a factorization-machine based neural network for CTR prediction","venue":null,"work_id":"17012096-d8e6-4d1a-995f-d3373eed338a","year":2017},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:06f7e4919502cf3b56fd85470213969076de5943ca0ac89f4bb139567cb43e70","observation_id":"e85dcdf6-f256-4648-bc8d-dfe3132ed1e0","resolution":{"observed_at":"2026-05-13T17:03:00.446246Z","resolver_source":"doi","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":"2502.12634","last_updated":"2025-04-11T11:06:00Z","snapshot_observed_at":"2026-07-06T20:38:25.164930Z","submitted_at":"2025-02-18T08:24:53Z","title":"Context-Aware Lifelong Sequential Modeling for Online Click-Through Rate Prediction","version":2},"cited_work":{"arxiv_id":"2502.12634","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.12634","snapshot_observed_at":"2026-06-30T16:44:56.544442Z","title":null,"venue":null,"work_id":"3f78cdea-9bec-4b67-b94b-44fcb4abe116","year":2025},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"cited_paper":"/paper/2502.12634","citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:5d0f27c1ed5619818502ea6c3b7eabdea9e33997bbfb10140c5c6ea5bba3971c","observation_id":"68c8b88b-6500-4176-92b7-85d913d75634","resolution":{"observed_at":"2026-05-13T17:08:01.106578Z","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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"cefa59eb-1f51-44b9-a4dc-1bf19c451593","year":2024},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:7c5c5ceadbf665ad43d80cd7f7246a902171637a77a09828cd0aebc5a097f76a","observation_id":"feec7482-c0fb-4f26-ada3-f7c8376c4e0c","resolution":{"observed_at":"2026-05-14T05:33:10.666677Z","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":"7136.308077","doi":"10.1145/3077136.3080770","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Dumais, Paul N","venue":null,"work_id":"99ba861f-609d-46f7-9482-2cb575d5928f","year":2017},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:e4a8abed07466e539f079a593c1db7e6daf02993d685bb3bbeaf01f468c06cca","observation_id":"3a55c713-4c58-4945-8750-7d7b9b23046a","resolution":{"observed_at":"2026-05-13T17:03:00.467129Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2510.27157","last_updated":"2026-05-09T03:19:23Z","snapshot_observed_at":"2026-08-02T06:54:15.933170Z","submitted_at":"2025-10-31T04:02:58Z","title":"A Survey on Generative Recommendation: Data, Model, and Tasks","version":2},"cited_work":{"arxiv_id":"2510.27157","doi":null,"metadata_source":"pith","pith_arxiv_id":"2510.27157","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A Survey on Generative Recommendation: Data, Model, and Tasks","venue":"cs.IR","work_id":"62f7d065-5459-47bc-8d7f-1d9c2f5fc8e5","year":2025},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"cited_paper":"/paper/2510.27157","citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:0faa5535bb7124b082466df293acb2963b050cf5b577bae43ac51cea53bae965","observation_id":"9de3dee2-66b1-41c0-b17f-1a5ab1a78605","resolution":{"observed_at":"2026-05-13T17:08:01.102424Z","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":null,"cited_work":{"arxiv_id":"7528.367160","doi":"10.1145/3637528.3671601","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":null,"work_id":"91333ac3-1ffd-4be8-897d-96c18af78daf","year":2024},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:38f4d34a6e9b89a42d4b42ad23aad6c4e3f0377d70bd36df62d299f6e4f7f32a","observation_id":"3d0f9817-75f6-471a-9e29-d05718d9e2c4","resolution":{"observed_at":"2026-05-13T17:03:00.470376Z","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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"1971c25a-11b3-4f96-b1ce-9309e03706a5","year":2025},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:ca314c863dc55b056aeb560b79def10222baccb021b52cdc520d4fea954fd4e4","observation_id":"d628cf3c-781e-4c2c-a8e3-1a921962f73d","resolution":{"observed_at":"2026-05-14T05:33:10.638949Z","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":"2510.21714","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-30T00:24:05.113625Z","title":null,"venue":null,"work_id":"9333c04e-d5a3-48a3-b1f8-36fe52dc3ab7","year":2025},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:aafa40ba42bb4a82df7bb18983dd0891e334b5ac572a9ee058e53ab3c9e2b8b1","observation_id":"c995b783-9fc2-40cc-b63c-523db8398854","resolution":{"observed_at":"2026-05-13T17:08:01.172697Z","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":"8689.334704","doi":"10.1145/3298689.3347043","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":null,"work_id":"2b657529-f126-403b-9178-8ae0704264e1","year":2019},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:80d5afc5b54da23d66a7ce31469df377e6651a34b08944e6d7dfb420e685160c","observation_id":"e3e4bde3-3eed-421b-a587-041fc0783651","resolution":{"observed_at":"2026-05-13T17:03:00.441163Z","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":"2505.04180","last_updated":"2025-05-08T07:51:26Z","snapshot_observed_at":"2026-08-05T18:48:28.490538Z","submitted_at":"2025-05-07T07:25:46Z","title":"Towards Large-scale Generative Ranking","version":2},"cited_work":{"arxiv_id":"2505.04180","doi":"10.48550/arxiv.2505.04180","metadata_source":"arxiv_reference","pith_arxiv_id":"2505.04180","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Towards large-scale generative ranking","venue":"ArXiv.org","work_id":"40d575d6-fc6a-41ee-aafb-3708eb22fe34","year":2025},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"cited_paper":"/paper/2505.04180","citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:dac590f5034fd728f8e4226abe853c6bc2e48678c128db648109bcac38a019ee","observation_id":"1d57a1c5-8c2c-4b9b-b475-2689fd23b76e","resolution":{"observed_at":"2026-05-13T17:08:01.175399Z","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":"2026-05-25T20:53:23.624647+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T20:53:23.624647+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"d1f2cde8-eb22-46d0-a12e-ce3b4aca30a6","year":2024},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:3496fd3f1bc76c34170e18262ed65f27124ebf7e8578da9b83bad6c01daac140","observation_id":"28ecc526-45b2-4999-be97-c8232f4a9119","resolution":{"observed_at":"2026-05-14T05:33:10.623891Z","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":"d1ebbcc4-23f6-4438-becd-8de865b85d02","year":2018},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:548a6b1bf7a64ea3e8ee55cab8bd97eb81acc8edfed8dc44ce0ac6d47258c476","observation_id":"1af5e1ba-c362-4a42-ae3c-28940c786873","resolution":{"observed_at":"2026-05-14T05:33:10.621243Z","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":"2001.08361","last_updated":"2020-01-23T03:59:20Z","snapshot_observed_at":"2026-07-06T08:52:12.656082Z","submitted_at":"2020-01-23T03:59:20Z","title":"Scaling Laws for Neural Language Models","version":1},"cited_work":{"arxiv_id":"2001.08361","doi":"10.1145/3616855.3635845","metadata_source":"pith","pith_arxiv_id":"2001.08361","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Scaling Laws for Neural Language Models","venue":"cs.LG","work_id":"b7dd8749-9c45-4977-ab9b-64478dce1ae8","year":2020},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"cited_paper":"/paper/2001.08361","citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:ad960f9423b90ad66cc097847e3a78f32c80c51c879739972a8399b86e2fc917","observation_id":"3daf9518-578d-4df2-a9d4-44a6fcefd245","resolution":{"observed_at":"2026-05-13T17:08:01.113473Z","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":null,"cited_work":{"arxiv_id":"2510.24431","doi":"10.48550/arxiv.2510.24431","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Minionerec: An open-source framework for scaling generative recommendation","venue":"arXiv (Cornell University)","work_id":"b8e33d91-5cd9-473e-b8a2-83e9936f7453","year":2025},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:2c99b9db190ca082b65508dcd12e81496edd3e77f2d77269347377cb34616299","observation_id":"7b9da58e-3a12-4acd-b9d8-5a6c3478dd14","resolution":{"observed_at":"2026-05-13T17:08:01.119844Z","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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"4bc6ce0d-4c60-4e22-a0c1-d85fbb6ad187","year":2025},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:39f709e1d0f2f28d65dde0f06ab663ebfde38e00e5660096964ce2503c4d652b","observation_id":"d5e4787d-ee17-4bb1-b396-eb7c5b9d992c","resolution":{"observed_at":"2026-05-14T05:33:10.677142Z","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":"be42e36e-0fd8-488d-bf29-0eb8b8233a04","year":null},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:38e72597f29152cda5df1038abb021bb0a0ac6da7bcca926188472fb8ccade21","observation_id":"08c94832-e347-45c9-ab20-d504b56e1042","resolution":{"observed_at":"2026-05-14T05:33:10.664185Z","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":"2411.13789","last_updated":"2025-07-16T07:09:05Z","snapshot_observed_at":"2026-07-06T19:53:30.020280Z","submitted_at":"2024-11-21T02:22:35Z","title":"LEADRE: Multi-Faceted Knowledge Enhanced LLM Empowered Display Advertisement Recommender System","version":3},"cited_work":{"arxiv_id":"2411.13789","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.13789","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Leadre: Multi-faceted knowledge enhanced llm empowered display advertisement recommender system","venue":null,"work_id":"80beab8d-3640-44d4-a01c-1817dfbb6d46","year":2024},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"cited_paper":"/paper/2411.13789","citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:d78eced8db6b9f717e7f0c65432e20b9e224db1fe844badfaa7112a85816b3f7","observation_id":"e1418290-68e8-46cc-9f07-2d413d52bd6d","resolution":{"observed_at":"2026-05-13T17:08:01.122762Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2408.15710","last_updated":"2024-08-29T14:47:37Z","snapshot_observed_at":"2026-08-05T05:07:30.681707Z","submitted_at":"2024-08-28T11:18:06Z","title":"Conan-embedding: General Text Embedding with More and Better Negative Samples","version":2},"cited_work":{"arxiv_id":"2408.15710","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2408.15710","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"InFind- ings of the Association for Computational Linguistics: EMNLP 2025, pages 24028–24047, Suzhou, China","venue":null,"work_id":"27a13c54-5bf6-46f0-9395-6d7f80ab0d78","year":2024},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"cited_paper":"/paper/2408.15710","citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:a575e5865078ff879ad31926f6ca97a44620d7f847ea10a9b4eb2898dd694d58","observation_id":"548ba8da-058b-4afd-83a8-e97d1be0b766","resolution":{"observed_at":"2026-05-13T17:08:01.125746Z","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":"2308.03281","last_updated":"2023-08-07T03:52:59Z","snapshot_observed_at":"2026-08-04T23:10:23.964516Z","submitted_at":"2023-08-07T03:52:59Z","title":"Towards General Text Embeddings with Multi-stage Contrastive Learning","version":1},"cited_work":{"arxiv_id":"2308.03281","doi":"10.48550/arxiv.2308.03281","metadata_source":"pith","pith_arxiv_id":"2308.03281","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Towards General Text Embeddings with Multi-stage Contrastive Learning","venue":"cs.CL","work_id":"861a61de-66fe-49d1-b1ab-11f8b082a4cc","year":2023},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"cited_paper":"/paper/2308.03281","citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:f242d6a742f1cdb9ca023533dc7f224ae3cf9485afea56cf39287263fe8724a5","observation_id":"5f7d1389-ba4f-456b-83c7-9fadde309535","resolution":{"observed_at":"2026-05-13T17:08:01.138545Z","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":"2026-08-01T13:38:14.033899+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-01T13:38:14.033899+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":"9819.322002","doi":"10.1145/3219819.3220023","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"URLhttps://doi.org/10.1145/3219819.3220025","venue":null,"work_id":"8663672b-35c2-48e1-afea-6f6b05bf6c82","year":2018},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:c05c38f8fc060dd2e6697a0fc823248f36ba498425b68d1744963afd51a5304d","observation_id":"69b51c52-8cf4-4433-a9ff-865f5ffe12aa","resolution":{"observed_at":"2026-05-13T17:03:00.480984Z","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":"2026-05-25T13:53:46.128086+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T13:53:46.128086+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.19437","last_updated":"2025-02-18T17:26:38Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-12-27T04:03:16Z","title":"DeepSeek-V3 Technical Report","version":2},"cited_work":{"arxiv_id":"2412.19437","doi":"10.1016/j.neucom.2023.127063.url:https://www.sciencedirect","metadata_source":"pith","pith_arxiv_id":"2412.19437","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"DeepSeek-V3 Technical Report","venue":"cs.CL","work_id":"57d2791d-2219-4c31-a077-afc04b12a75c","year":2024},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"cited_paper":"/paper/2412.19437","citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:f5de86fa104401b171d2b546e049c519dbec968e5942b56de0537670693589e5","observation_id":"84dad979-67d5-4e37-94b1-e2dc1c851eac","resolution":{"observed_at":"2026-05-13T17:08:01.130754Z","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":"1711.05101","last_updated":"2019-01-04T21:01:49Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2017-11-14T14:24:06Z","title":"Decoupled Weight Decay Regularization","version":3},"cited_work":{"arxiv_id":"1711.05101","doi":"10.1137/1.9781611972825.47","metadata_source":"pith","pith_arxiv_id":"1711.05101","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Decoupled Weight Decay Regularization","venue":"cs.LG","work_id":"07ef7360-d385-4033-83f7-8384a6325204","year":2017},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"cited_paper":"/paper/1711.05101","citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:e251a186766be0052fea8daa424f62e0bd1d256a7d278551d94481eca839c2f0","observation_id":"ebd510e5-3689-4f5c-8ce7-1d73226967af","resolution":{"observed_at":"2026-05-13T17:08:01.169670Z","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T12:34:55.000804Z","title":null,"venue":null,"work_id":"8eccfc2e-5c5b-47dc-a2bb-ad6015cc0224","year":2025},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:16eb5f419c774402a06ec85fad0eee1ef7766a8eeb15d633a85219bdc58e05f6","observation_id":"9a0c830d-29fd-4684-828c-d18248453b04","resolution":{"observed_at":"2026-05-14T05:33:10.646694Z","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":"1209.196121","doi":"10.1145/1961209.1961212","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Lyu, and Irwin King","venue":"ACM Transactions on Information Systems","work_id":"4a7440a4-b9db-46cf-878c-cc4b5c107933","year":2011},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:872c81d80937f4efb1cef45a480065c9c9637efffabad0cc89d4c03250f8f54c","observation_id":"f1393a7b-7ccf-4446-aa8d-562b001ace40","resolution":{"observed_at":"2026-05-13T17:03:00.455756Z","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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"27502a5f-978f-4b02-8710-a17d3290778d","year":null},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:b941c714dde9ce70f82d7665e878116200b29a19105bcf64025d0da681be0103","observation_id":"a0f9ff12-70e8-45cd-8903-3e1d5626caed","resolution":{"observed_at":"2026-05-14T05:33:10.626991Z","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":"10.1609/aaai.v37i4.25577","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"In Proceedings of the AAAI Conference on Artificial Intelligence, Vol","venue":"Proceedings of the AAAI Conference on Artificial Intelligence","work_id":"23f14716-2f86-4b8c-95df-6a73dc5d8aae","year":null},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:305dfb40e2aaa2224689680e6a899c8350b6257e249412bb78bcb34a0bf4b432","observation_id":"abba363f-2ddf-4011-b981-eb202b1c2775","resolution":{"observed_at":"2026-05-13T17:03:00.435179Z","resolver_source":"doi","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":"1906.00091","last_updated":"2019-05-31T21:51:16Z","snapshot_observed_at":"2026-08-02T13:53:54.252223Z","submitted_at":"2019-05-31T21:51:16Z","title":"Deep Learning Recommendation Model for Personalization and Recommendation Systems","version":1},"cited_work":{"arxiv_id":"1906.00091","doi":"10.48550/arxiv.1906.00091","metadata_source":"pith","pith_arxiv_id":"1906.00091","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Deep Learning Recommendation Model for Personalization and Recommendation Systems","venue":"cs.IR","work_id":"707a4611-eb4e-4fbf-99b5-fafc0dfcbf01","year":2019},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"cited_paper":"/paper/1906.00091","citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:8ebf7e9c4e21b67e954e02d55a87e2d4e79501d4f196e1c3b1d773d05367a098","observation_id":"713422fe-11eb-4ad1-a67c-87e9c45badfa","resolution":{"observed_at":"2026-05-13T17:08:01.116934Z","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":"2303.02868","last_updated":"2023-03-06T03:36:26Z","snapshot_observed_at":"2026-07-31T13:29:57.932652Z","submitted_at":"2023-03-06T03:36:26Z","title":"Angel-PTM: A Scalable and Economical Large-scale Pre-training System in Tencent","version":1},"cited_work":{"arxiv_id":"2303.02868","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2303.02868","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Angel-ptm: A scalable and economical large-scale pre-training system in tencent","venue":null,"work_id":"c0bea5ad-728f-4484-9785-05d8c45d094d","year":2023},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"cited_paper":"/paper/2303.02868","citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:e5f75cfede3582f2065fd28534b4e711c2592a7f598d382c0bd671d024069123","observation_id":"4f2b2476-db26-4346-bce0-051d0d8c7c0f","resolution":{"observed_at":"2026-05-13T17:08:01.128449Z","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":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"cited_paper":"/paper/1807.03748","citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:73d0b06319b18c94d88a6f906c3558ea3c0a00792c7616b8435286f9cf0faa71","observation_id":"5abb6e07-a9d9-4368-b2ce-b3003e4ffb8c","resolution":{"observed_at":"2026-05-13T17:08:01.136081Z","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":null,"cited_work":{"arxiv_id":"2412.08604","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"9075da0f-6112-4e0f-8368-5c47a0e7aa73","year":2024},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:074003342b7c86dce2fe042df6f4ee53b3a2249b6da066ce151522b10330052d","observation_id":"cb041888-63df-42f5-b2ec-ed25a6600517","resolution":{"observed_at":"2026-05-13T17:08:01.143870Z","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":"8876.318604","doi":"10.1145/3178876.3186040","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":null,"work_id":"70ff8d03-0917-4eb6-ac59-af0842d2641f","year":2018},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:4f8e39abd856a75a55c94da5849c409d56efdb6298bc721a33787582a0ba0efe","observation_id":"9350c025-3134-4b60-b184-5fff2f73bd23","resolution":{"observed_at":"2026-05-13T17:03:00.484217Z","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":"7528.367160","doi":"10.1145/3637528.3671601","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":null,"work_id":"91333ac3-1ffd-4be8-897d-96c18af78daf","year":2024},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:3229a038d101e6e2d8373bf9cd8998995519cc66f93d1294f605d3de5e5da5f8","observation_id":"949f7b32-e472-4b09-bf5f-61277891d003","resolution":{"observed_at":"2026-05-13T17:03:00.452515Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"1f6b1d11-eeb0-44a5-be38-74c4a0beda8b","year":2018},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:13d9e5d51a6ef3d225fbaf70cd61f8e6ba68d3eb1a6fd6229a044c7b31ac92b2","observation_id":"9963aebe-b9d3-40ad-b06f-d5167a8a60f2","resolution":{"observed_at":"2026-05-14T05:33:10.651946Z","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":"0531.341274","doi":"10.1145/3340531.3412744","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Twinbert: Distilling knowledge to twin-structured compressed bert models for large-scale retrieval","venue":null,"work_id":"24bfed46-152a-4021-aebc-ac2fd01f4e99","year":2020},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:be52f2594ffc41d333b728717795b97b9fdd54929c503206b34bba21f203f2e4","observation_id":"d75eb7d3-fc94-4a75-baad-043ec45dd4fc","resolution":{"observed_at":"2026-05-13T17:03:00.473473Z","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":"2026-07-14T15:50:05.321453+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T15:50:05.321453+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":"2026-07-09T12:46:15.377365Z","title":null,"venue":null,"work_id":"c3d880d4-6917-476c-8fa8-190482e4b288","year":null},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:08cf12826889a15fb502413d65d3b16094702a70e28523a64c2188b026b518b8","observation_id":"bcfdcd63-c8dc-43ac-8a5e-4afba1738c89","resolution":{"observed_at":"2026-05-14T05:33:10.669443Z","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":"2026-07-09T12:46:15.396931Z","title":null,"venue":null,"work_id":"d1d73631-be94-410a-98eb-873f042f60d8","year":2023},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:24cf881405178d32aee2199730cef17096bcb674cc8ee196f9af82be99e4422e","observation_id":"fdd8a6ce-7d7d-4a40-9319-977fa36f2b50","resolution":{"observed_at":"2026-05-14T05:33:10.658726Z","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":"10.1109/icdm.2010.127","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Factorization machines","venue":null,"work_id":"5d3b2856-7587-4c3c-8e32-6aa7f578a756","year":2010},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:3370c10050a5e3568621d814fb7609cfd4d5d35cae82c353af993697ac977bf6","observation_id":"cfadc566-0767-498e-a974-a7a2f80e8b47","resolution":{"observed_at":"2026-05-13T17:03:00.443628Z","resolver_source":"doi","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":"2026-07-13T19:50:13.358473+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-13T19:50:13.358473+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"ad35ac10-ca58-4d38-baee-deb65d9e9f25","year":2025},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:f7ed74f28d2537eede264944a4635242b990557dfbd5c64a15283ca5d7304ed7","observation_id":"8276b641-b15a-4787-a715-2c8e501c76dd","resolution":{"observed_at":"2026-05-14T05:33:10.661637Z","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":"09f6333b-d322-4be2-b220-4de37b09bd6e","year":2025},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:a22c2cc7f4fc6066d1e30ae5404a97f9c9d2e530c25ca89c196eab1e9842f8c5","observation_id":"9e727241-2d11-4618-a98e-1b933a7b41e7","resolution":{"observed_at":"2026-05-14T05:33:10.631641Z","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":"c405eeab-598e-45f6-80d2-28dfe73e8553","year":2024},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:6cd2748d80fb75e8d2155c085225636c5fe995b30cfccbf8fcd87e58e9dd7c11","observation_id":"4efbedb2-f358-4899-bc13-e372c91640d1","resolution":{"observed_at":"2026-05-14T05:33:10.629280Z","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":"2381.344993","doi":"10.1145/3442381.3449930","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"2021.𝐹 𝑀2: Field-matrixed Factorization Machines for Recommender Systems","venue":null,"work_id":"13094798-7d9f-4b01-8796-eb0daa4ef575","year":2021},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:5859b974d265b67a4005c6602efebf71778f869f9c67a81a131d6fc4dd275c15","observation_id":"425ebf4c-6297-457d-9fa9-d17f4ad43341","resolution":{"observed_at":"2026-05-13T17:03:00.438005Z","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":"2405.07314","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"1a54c8a0-831e-449f-8801-1e42b5f7c202","year":2024},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:2f0095da40997135fbfa3bd69667a04c5c01a360dc7b92974b3b840d40eacd38","observation_id":"3cf39967-c478-4477-831b-3b3bda04cda9","resolution":{"observed_at":"2026-05-13T17:08:01.163980Z","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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"ce1d457b-01a6-440e-93d8-cd9bbc3293e2","year":2020},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:a4754058541e3c2bb668eabea0a917f41c3052cbb4c219b064a296ab984ff656","observation_id":"443c03da-1a49-4689-8ef3-5e2c9463bcb6","resolution":{"observed_at":"2026-05-14T05:33:10.636605Z","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":"d0bce180-06c7-4d23-a86b-e1b330708a41","year":null},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:53034ee063fc2c090cf2d1c997c8c1a7b5088b9273da43543c369405fa257c0d","observation_id":"01de373e-f8b8-47ae-ac98-52d31442c0bc","resolution":{"observed_at":"2026-05-14T05:33:10.634234Z","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":"2002.07962","last_updated":"2020-02-19T02:05:37Z","snapshot_observed_at":"2026-07-06T08:58:21.130247Z","submitted_at":"2020-02-19T02:05:37Z","title":"Inductive Representation Learning on Temporal Graphs","version":1},"cited_work":{"arxiv_id":"2002.07962","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2002.07962","snapshot_observed_at":"2026-06-30T21:55:06.049818Z","title":"Inductive repre- sentation learning on temporal graphs","venue":null,"work_id":"77d0f369-8bbb-45ba-8115-9e23208183f9","year":2002},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"cited_paper":"/paper/2002.07962","citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:4dfbc1c49a62ea0501062177fc4ecafb8c238b09fdf858cc72d4afcf442e6c30","observation_id":"81d7419b-8ae9-43f2-a2f2-f37dec760042","resolution":{"observed_at":"2026-05-13T17:08:01.146893Z","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":"2508.15281","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Mmq: Multimodal mixture-of-quantization tokenization for semantic id generation and user behavioral adaptation","venue":null,"work_id":"40a8badc-b489-4f41-8cb8-7e9f11d7c09e","year":2025},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:9a1157933b319ea2b7ac0d8a16958bb32121851f22d095ae1ef31ea8ed240120","observation_id":"abd3d8c7-a070-4f50-bf2e-5d5c55eef29b","resolution":{"observed_at":"2026-05-13T17:08:01.155896Z","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":"2602.22732","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-04T20:20:07.226604Z","title":"Generative recommendation for large-scale advertising","venue":null,"work_id":"7f09c2b1-43d2-4213-a3e4-e7316d32e86e","year":2026},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:19644045dc9672663b1eabb9d3730324dd6ba5c5a26a2d3ac5fdf3f69ad4428a","observation_id":"fb721cab-4221-4162-8f03-04d4038c14e4","resolution":{"observed_at":"2026-05-13T17:08:01.158466Z","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":"2506.02020","last_updated":"2025-05-28T11:18:19Z","snapshot_observed_at":"2026-07-06T21:35:12.872021Z","submitted_at":"2025-05-28T11:18:19Z","title":"Improve Multi-Modal Embedding Learning via Explicit Hard Negative Gradient Amplifying","version":1},"cited_work":{"arxiv_id":"2506.02020","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.02020","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Improve multi-modal embedding learning via explicit hard negative gradient amplifying","venue":null,"work_id":"dc89e988-66b9-49bd-9a01-641d350e14bf","year":2025},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"cited_paper":"/paper/2506.02020","citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:738c3d22a8bd47bea80bbafc10c36429e82a24bbbd4cb07591b171e1ee1bea48","observation_id":"5019370f-b1a0-4032-a9cf-39ea744575e5","resolution":{"observed_at":"2026-05-13T17:08:01.150217Z","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":"2505.09388","last_updated":"2025-05-14T13:41:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-05-14T13:41:34Z","title":"Qwen3 Technical Report","version":1},"cited_work":{"arxiv_id":"2505.09388","doi":"10.1016/j.aiopen.2022.12","metadata_source":"pith","pith_arxiv_id":"2505.09388","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Qwen3 Technical Report","venue":"cs.CL","work_id":"25a4e30c-1232-48e7-9925-02fa12ba7c9e","year":2025},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"cited_paper":"/paper/2505.09388","citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:0d5340e1790e1abf240f6ff696155736cdfb6076ecdb77b691e358a00a540c56","observation_id":"703f16d5-ae1e-4a4c-8c8e-b39f1664da3b","resolution":{"observed_at":"2026-05-13T17:08:01.161355Z","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":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":"c7d05612-0337-4fbe-af1b-5478b0940953","year":2025},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:24131f668bb0755441e029fc88df7e15cdc45eeefc74c8866d7afce98485cfd4","observation_id":"c2f2ea0b-947d-482c-a3bd-22f5a3826365","resolution":{"observed_at":"2026-05-14T05:33:10.641835Z","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":"08c77109-e9c7-4673-ad9d-c171cede1914","year":2022},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:601529c6b9d05cb713cbd83bdb7628908aeed62800dcee12f3d0424b2dbaabae","observation_id":"578cf685-d71a-4184-8af1-84f272a57cbf","resolution":{"observed_at":"2026-05-14T05:33:10.655332Z","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":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-08-06T03:48:40.952592Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:0902ffd85a56912a50b6e06f4c29378df56310bbdc264722a3048304e004ef08","observation_id":"e430638d-6618-4360-987d-f5671afc9de3","resolution":{"observed_at":"2026-05-13T19:39:33.082504Z","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":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"25628208-eb5b-41a9-ae27-b1083070680e","year":2024},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:1cf59b33cb902c479ee7984870f6264cebf8f302608d83804c6ffaa608f5cdcf","observation_id":"b65235c6-bbe8-48f0-a1db-fc0dd2809cac","resolution":{"observed_at":"2026-05-14T05:33:10.644234Z","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":"2203.11014","last_updated":"2022-03-11T21:19:31Z","snapshot_observed_at":"2026-08-05T04:18:51.204757Z","submitted_at":"2022-03-11T21:19:31Z","title":"DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction","version":1},"cited_work":{"arxiv_id":"2203.11014","doi":"10.48550/arxiv.2203.11014","metadata_source":"arxiv_reference","pith_arxiv_id":"2203.11014","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Dhen: A deep and hierarchical ensemble network for large-scale click-through rate prediction","venue":"arXiv (Cornell University)","work_id":"ddad5535-eaa3-47a2-a069-372ccc48a32c","year":2022},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"cited_paper":"/paper/2203.11014","citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:e4f931f9f4a4d4fd1c7aa21c59fc7817748312db232d6ba0f18300205892c7a1","observation_id":"ffdc48c1-6836-4191-a3a2-89d9f160e792","resolution":{"observed_at":"2026-05-13T17:03:00.494587Z","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":"2410.09560","last_updated":"2024-10-12T15:10:56Z","snapshot_observed_at":"2026-07-06T19:32:19.565785Z","submitted_at":"2024-10-12T15:10:56Z","title":"Towards Scalable Semantic Representation for Recommendation","version":1},"cited_work":{"arxiv_id":"2410.09560","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.09560","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"13469c89-34ed-421f-9d34-0116a404300f","year":2024},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"cited_paper":"/paper/2410.09560","citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:311414c095c84c94c56bffe54894d76dac507b57c4b2c7925825118664139dd9","observation_id":"48ec6827-ac4e-482a-91ae-571ff4212b36","resolution":{"observed_at":"2026-05-13T17:08:01.092038Z","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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"1e56cf9c-0340-4ac5-83a2-2106a6c951ce","year":2025},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:b26c8f9162a8791b495373df40a76d798c0bf406c809718dd03bb3218688ac44","observation_id":"fc5f6507-dc7a-45c5-9649-3336671ea7e1","resolution":{"observed_at":"2026-05-14T05:33:10.679600Z","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":"df7ace3a-8798-4ee6-a939-1cf58ac4f595","year":2024},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:f925f55d729f557e3cc16c34188685a9d90344150e1625bd08968d43d3b7fab0","observation_id":"96dc0a4d-d504-4e50-a0c2-36f79ca4945a","resolution":{"observed_at":"2026-05-14T05:33:10.682409Z","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":"59ae406b-b98a-4938-b939-07c2ff58a261","year":2025},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:d2be21d6466742cf1b6c5dbffe401e83a041cc70a646065eb562d6e9a45100c3","observation_id":"613c641b-f420-47b9-be58-40594264d48d","resolution":{"observed_at":"2026-05-14T05:33:10.684841Z","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":"2506.13695","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-04T19:00:06.186054Z","title":"Onerec technical report","venue":null,"work_id":"0cfba403-a5f2-4948-8cd3-c6acbd000bb9","year":2025},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:c15eafc6bc481fc290a322176500b69639352bbc1aaf0331518117c43e34ee1f","observation_id":"6073aa5f-0a64-486c-9b52-1aa7aa192f13","resolution":{"observed_at":"2026-05-13T17:08:01.110378Z","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":"2508.20900","last_updated":"2025-10-28T09:32:28Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-08-28T15:29:51Z","title":"OneRec-V2 Technical Report","version":4},"cited_work":{"arxiv_id":"2508.20900","doi":"10.48550/arxiv.2508.20900","metadata_source":"pith","pith_arxiv_id":"2508.20900","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"OneRec-V2 Technical Report","venue":"cs.IR","work_id":"0276b395-b68e-40c9-8099-1adca538d76d","year":2025},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"cited_paper":"/paper/2508.20900","citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:9375029ce7a6d3efed4202e09f59bffdd58c8175fba4d1d7efec97a2e9367170","observation_id":"e1433140-713c-4402-b5a7-e80acef3eecb","resolution":{"observed_at":"2026-05-16T22:56:49.350367Z","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":"2026-05-25T20:53:24.046025+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T20:53:24.046025+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":"10.1145/3219819","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Muthukrishnan, Vishwa Vinay, and Zheng Wen","venue":null,"work_id":"c440bbff-7a32-4fea-95ea-811d97ee1462","year":2018},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:525ce0d0093a42413b06ecfb640e2714228469bb761a8c52a8f7ff797450dd4e","observation_id":"75687d85-0dd4-461e-acb1-bb1c4a39204f","resolution":{"observed_at":"2026-05-13T17:03:00.463545Z","resolver_source":"doi","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":"10.1609/aaai.v33i01.33015941","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"Proceedings of the AAAI Conference on Artificial Intelligence","work_id":"6aa63f42-d05a-494a-bd41-f7218c115dbc","year":2019},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:b9ec6978ba23edbaacb3996e7dfc4634d0cd242d736e75a50c1b05187e5c457d","observation_id":"f134491f-d08e-4fe2-b72d-49b4b85201dd","resolution":{"observed_at":"2026-05-13T17:03:00.461294Z","resolver_source":"doi","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":"2026-07-16T19:51:33.534666+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-16T19:51:33.534666+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":"9335.364834","doi":"10.1145/3589335.3648340","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":null,"work_id":"f669b17b-8923-45c6-a6ee-648b1a7f6538","year":2024},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:88505b752d9015ce5aa9f211f5a3d99998e48d3e807738afe8d4c544e4c93c0e","observation_id":"4cb3536f-8706-4e8a-ad68-4bc3be06ba47","resolution":{"observed_at":"2026-05-13T17:03:00.449403Z","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":"10.1609/aaai","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T02:04:26.079898Z","title":"Louis, G","venue":null,"work_id":"9f349f1f-0e39-446f-8ac6-694a06c25de5","year":2026},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:9857391fd0f6edcf01ad3961de6c81e7863d07051aeec3336e8e5ac350c6615c","observation_id":"153c7b6e-07a2-4bba-9e48-e62908b39318","resolution":{"observed_at":"2026-05-13T17:03:00.458568Z","resolver_source":"doi_truncated","status":"malformed_identifier"},"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":"2507.15551","last_updated":"2025-07-26T02:01:33Z","snapshot_observed_at":"2026-07-06T22:00:18.950986Z","submitted_at":"2025-07-21T12:28:55Z","title":"RankMixer: Scaling Up Ranking Models in Industrial Recommenders","version":3},"cited_work":{"arxiv_id":"2507.15551","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2507.15551","snapshot_observed_at":"2026-06-30T12:44:39.234078Z","title":"Rankmixer: Scaling up ranking models in industrial recommenders","venue":null,"work_id":"6e406f6a-c9a5-497a-928e-cab331f8cc15","year":2025},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"cited_paper":"/paper/2507.15551","citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:f281e1cf488a642f2e608859372e85f78b4ec6db5be3ef7c1ab4448d79f40ab4","observation_id":"e658f2ba-dd90-40f7-bc4e-1d212cb93f34","resolution":{"observed_at":"2026-05-13T17:08:01.141267Z","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"}}],"paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","latest_version":1,"primary_category":"cs.IR","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation"},"reference_resolution":{"displayed":78,"state_counts":{"malformed_identifier":1,"metadata_mismatch":3,"parse_uncertain":0,"unresolved":26,"verified_exact":48,"verified_fuzzy":0},"total_outbound_references":78},"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 6 August 2026, this Paper Citation Record lists 78 of 78 outbound references and 3 inbound Pith citation observations for arXiv:2604.04976."}