{"as_of":"2026-08-22T21:23:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5bdebdc50f3dbd3b26d2231a15c091d2b1e41d893d958125ab2bb7a80c5ad216","coverage":[{"denominator":67,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":67,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T14:00:02.825813Z","state":"measured"},{"denominator":67,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":67,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-22T06:32:14.747728+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2501.15816/citation-record","integrity":"/paper/2501.15816/integrity","json":"/paper/2501.15816/citation-record.json","paper":"/paper/2501.15816"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:03.868469Z","title":null,"venue":null,"work_id":"31eaec36-1e41-4497-ba47-40f29481e997","year":2018},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.501973Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:950be436da4037f90ee3f530973d354522c6e8a0550b6f5c29fcfb99970d3459","observation_id":"7b2bf712-af73-44c0-8e65-885c02883c12","resolution":{"observed_at":"2026-08-10T14:00:03.875089Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:02.507480Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.507480Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:71a9417ec4ef60903356a74a5c637cccefb3f20048030ff8d5dd3086528cd297","observation_id":"dd6a2d89-46e5-4c9b-b726-20ff6a4bfc81","resolution":{"observed_at":"2026-08-10T14:00:02.507480Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:03.820301Z","title":null,"venue":null,"work_id":"8f5b36d9-63aa-4683-88e0-6e2af9a47c12","year":2022},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.511994Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:e1e818fc04c74c58a859c4b0fad4759560ee42063acef9ffe8036c32e6a58a9b","observation_id":"0155875e-11d1-4b46-ac66-a0f2cb5be634","resolution":{"observed_at":"2026-08-10T14:00:03.829009Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:03.799757Z","title":null,"venue":null,"work_id":"05e068f8-c320-4d0c-9d68-43f13d368936","year":2018},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.517073Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:9250f82bcbca3a82142c8b13892fa0fa5f6c206805e4fe234c305a9e53bc1c24","observation_id":"f787b3af-2a51-4218-bba1-d959af42fad5","resolution":{"observed_at":"2026-08-10T14:00:03.805267Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:03.784761Z","title":null,"venue":null,"work_id":"0d999a6f-ad37-4da9-84d0-29ad85b2714b","year":2023},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.521616Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:02cf36dd9dcc67da868efd938c3c97f13ff37afa103267dbe20a93bd37e7dc74","observation_id":"3278b958-eac0-4173-a89f-e5522792d4cc","resolution":{"observed_at":"2026-08-10T14:00:03.789331Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:03.770423Z","title":null,"venue":null,"work_id":"01944262-4505-4f28-9e46-8cbd3c003b36","year":2019},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.526611Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:9805747fe83ad08dd733c4b7d1b00a3820959b60c2a96de8ae42588a3481dd28","observation_id":"af95db8d-481a-4083-825c-da5b49c2ecef","resolution":{"observed_at":"2026-08-10T14:00:03.774826Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:03.754288Z","title":null,"venue":null,"work_id":"eb0cb6cb-a5da-44b9-b442-071038b5602f","year":2020},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.532892Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:8fd366e1418ffceae09623f194736380f96aa02157ea19be20098ae0bd0fe3af","observation_id":"27f96618-2d32-4472-a284-0dba88b8c71f","resolution":{"observed_at":"2026-08-10T14:00:03.759418Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:02.537111Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.537111Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:905cbd30ccafbdd8c974f0553c3295438065662b021b052c4cfd8f0b656e6cd2","observation_id":"74399b4c-862f-41c3-a3f5-480d7e0077ce","resolution":{"observed_at":"2026-08-10T14:00:02.537111Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:03.724331Z","title":null,"venue":null,"work_id":"452bb802-2dbd-4275-8df1-6302ab5f2325","year":2016},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.541852Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:ed71991d128f6499c3becc952eb0a43ba711f9ecf4da55344434dd70d763abd3","observation_id":"f1d88706-2b13-4e61-ac83-b096f958aca4","resolution":{"observed_at":"2026-08-10T14:00:03.729577Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:03.707925Z","title":null,"venue":null,"work_id":"8be3ce9d-8219-438b-b6cc-c1bb45d76937","year":2021},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.546492Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:e4c4b90e71670ba443856dd7b93f51f1cf04c6f99ed43781ddd77029839a9904","observation_id":"19459e0c-a91f-4ac9-bd7b-18997d4a8af8","resolution":{"observed_at":"2026-08-10T14:00:03.712825Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:02.551102Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.551102Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:8ffd68dae708cd21705a2c8807c7a872b5bbb2ec1aa4631ca887d106e866b197","observation_id":"a4a81784-cad9-4850-9f41-be87dc0fa8a5","resolution":{"observed_at":"2026-08-10T14:00:02.551102Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:02.556267Z","title":null,"venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.556267Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:ed5dce3878768fe9342cbc3d8c9b960dfb2bbb9904f65a7240e07e2f10bccc44","observation_id":"cc4350a6-a140-4858-a716-b58a26df7fb2","resolution":{"observed_at":"2026-08-10T14:00:02.556267Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:02.560802Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.560802Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:3b55d5cca078634103dd10639e5a3b2dd6ec1f9d2ec04ceeaec2089dc3bdec3a","observation_id":"a46ec13f-c4a4-4978-a7d7-3cba973d618f","resolution":{"observed_at":"2026-08-10T14:00:02.560802Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:03.662609Z","title":null,"venue":null,"work_id":"29da0c99-8b9b-4fa9-8bb7-e73012b4bf53","year":2021},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.565252Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:8eb222dbc1c404b443c2ce325db6a51dd62326b6ee9625d6ec53f1e1e17ce3a0","observation_id":"7df3dc63-430e-4b0a-b348-b75a39b910a9","resolution":{"observed_at":"2026-08-10T14:00:03.667373Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:02.569766Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.569766Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:c20e2ebfd0ebebf67d2275f58421bc028f955f7b6bfb1f3f608e5e36258f686e","observation_id":"73e7b308-df34-4bd7-9740-2ae5df1f5cf8","resolution":{"observed_at":"2026-08-10T14:00:02.569766Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:02.574245Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.574245Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:d8d61e4b179e93da8ad47dab3078f2afe6c220f0f7c4b7bf6ece34d02da9aebe","observation_id":"838a18ac-0b54-423e-b2ce-0c579980c8e7","resolution":{"observed_at":"2026-08-10T14:00:02.574245Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:02.578652Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.578652Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:66642cec253fe56a2152a0ead62d4b34170a5fe4fa3091c868f3da29b0b37723","observation_id":"d8b657d6-5981-4924-8a3b-d15bc6953a61","resolution":{"observed_at":"2026-08-10T14:00:02.578652Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:02.583266Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.583266Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:d43e73473fc81f40cd8b87600a8259c54e09ea16f24f6e77e411562eb5935aec","observation_id":"b1df5459-1548-4ea2-a59f-130b676c36ba","resolution":{"observed_at":"2026-08-10T14:00:02.583266Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:03.586224Z","title":null,"venue":null,"work_id":"842ea2f4-5c8c-4e16-9bac-7d47e9547406","year":2015},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.587985Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:cddf7666f4a272d295eecb9b7f39adfdf437374ad405b5e128a0c3a64e441d12","observation_id":"b6b06320-42c3-48fa-a174-92fd27562cf6","resolution":{"observed_at":"2026-08-10T14:00:03.592281Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:02.592629Z","title":null,"venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.592629Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:041f99e684e68473cf22757d5a3e6377e452b73fc6029e62da6bba312fa4bdb3","observation_id":"f4dc8cdf-3666-4511-9c26-a6cc31a8e0fb","resolution":{"observed_at":"2026-08-10T14:00:02.592629Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:03.559111Z","title":null,"venue":null,"work_id":"f33aa663-e9f9-440c-9eac-40221788dfd1","year":2018},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.598487Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:9ca19068992cc6cb39b5a9b2fa258512ceed6338291659c9de81aa1dbb916ece","observation_id":"cd6ce1fd-9fda-4774-b2f7-7ba5fff560f3","resolution":{"observed_at":"2026-08-10T14:00:03.563988Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:03.542647Z","title":null,"venue":null,"work_id":"f2e1cc58-152d-4709-8086-edf2bc78c863","year":2020},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.603061Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:f800dbd5d0ae0d5bf6a4296508dcbd90b42d8d1846dc7c88e911c0a720a66237","observation_id":"c13b3661-4ca3-4770-8c76-065b81ebf1bd","resolution":{"observed_at":"2026-08-10T14:00:03.548063Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:03.525291Z","title":null,"venue":null,"work_id":"29f56038-1a3a-46f8-ba30-a21336675b03","year":2020},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.607656Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:af241157c7fb159d03481fd8d18f093ca419946292a4ab25f7b9707b5f02a9d9","observation_id":"d4874bc2-7bc2-4922-8270-97dce6b51236","resolution":{"observed_at":"2026-08-10T14:00:03.530470Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:03.510121Z","title":null,"venue":null,"work_id":"88c58f40-a5ea-438a-ba51-3290fbefae57","year":2019},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.612526Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:d3a8da6ab3faee37010a921ba0f0268b0238436fc62269a3e47d00cc6fc15856","observation_id":"002ad9de-6170-4b35-b82c-b8a2dd77a13e","resolution":{"observed_at":"2026-08-10T14:00:03.514882Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1907.11692","last_updated":"2019-07-26T17:48:29Z","snapshot_observed_at":"2026-08-16T14:33:50.657682Z","submitted_at":"2019-07-26T17:48:29Z","title":"RoBERTa: A Robustly Optimized BERT Pretraining Approach","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.11692","snapshot_observed_at":"2026-08-10T14:00:02.617511Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.617511Z"},"links":{"cited_paper":"/paper/1907.11692","citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:a2eadf76f966b2ed546c625d2516a2975dd712c99ebd568e958d22f7b8b5a83d","observation_id":"b15f04a4-bfe0-4b62-8dd4-57c6f7a76fa3","resolution":{"observed_at":"2026-08-10T14:00:02.617511Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:03.493827Z","title":null,"venue":null,"work_id":"e6b68c81-a063-41a6-93cc-2494a32ad255","year":2017},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.622565Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:c8b9ecf81cad7266b36afce0451fb4cd334791327f05b60ac6ba1e9415a14e02","observation_id":"035675ad-d010-4386-ae9f-88de5c104f3d","resolution":{"observed_at":"2026-08-10T14:00:03.498888Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:02.628727Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.628727Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:cb2542d9c3b38e33724bc5a5cf8bb427346e82a8bb3a81af773ba0366288516f","observation_id":"61ce8f42-500b-45b7-999a-79e19f6e5e87","resolution":{"observed_at":"2026-08-10T14:00:02.628727Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:03.467734Z","title":null,"venue":null,"work_id":"c93b3033-509a-4b5e-beb3-fbbc6e4c47f7","year":2019},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.634843Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:7a443b585758a2598f72330faee33d71888adf61999199b7835d611eb9912539","observation_id":"a99dbea8-82a1-4724-a047-6df7bc8eb04c","resolution":{"observed_at":"2026-08-10T14:00:03.473404Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:02.640928Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.640928Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:ca2b589da692685e57087bb350b0bed9f9780f488f43a395a2c0ccd1376d7682","observation_id":"e99bb13d-6e77-45d4-a5bc-d06c58669c79","resolution":{"observed_at":"2026-08-10T14:00:02.640928Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:03.442089Z","title":null,"venue":null,"work_id":"cffbceb6-353b-4c3d-8ce8-1784a7722638","year":2010},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.645772Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:d6c78c0c85b406549172d82b8f2d0ac65ed3aed54bc86f2746aa88bf2d25ba41","observation_id":"c4885ef0-351d-4af6-91cd-4bd00d60ad4f","resolution":{"observed_at":"2026-08-10T14:00:03.446993Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:02.650907Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.650907Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:94a305e5ca074564c31d7fdb9069559a175b52088c08f29d3aec478ea28bb174","observation_id":"8b52dffb-0af4-4348-8b20-4027cb32491c","resolution":{"observed_at":"2026-08-10T14:00:02.650907Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:03.405835Z","title":null,"venue":null,"work_id":"84524032-cb76-40c4-a4cf-495ae9ded71d","year":2008},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.660894Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:fe670fcabd8fa0de77a9117839860f63976faded12994c2ca6da6556fd9b27fc","observation_id":"e3386a14-a4b6-4341-b92e-2a34ec604098","resolution":{"observed_at":"2026-08-10T14:00:03.410763Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:03.387014Z","title":null,"venue":null,"work_id":"9593c1b2-f1c2-4295-9672-56e3529cd670","year":2019},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.665805Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:562ce0ac535442328cc4fc7fa7ec6c6254d153ce9fe1ad6f6e5fcd7c3edd3c3a","observation_id":"378f54e7-ce39-422e-a1c4-fbc5b8ff4e60","resolution":{"observed_at":"2026-08-10T14:00:03.391835Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:03.371674Z","title":null,"venue":null,"work_id":"1d6c235a-f652-408e-b206-3eb86c5779ff","year":2020},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.670535Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:97b14381580ab68b26911570afc2c2d3489e5acb1f9dc3191ad9549caf4ee468","observation_id":"5446c4da-f08e-430e-8288-7212cca20e5d","resolution":{"observed_at":"2026-08-10T14:00:03.376402Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:02.675788Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.675788Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:c1afd2668132d52c26ec443f00514f1c7a15506fc4ed30dd502110296322e306","observation_id":"9387ef3f-88c1-4e3b-9b47-4bf9293bf175","resolution":{"observed_at":"2026-08-10T14:00:02.675788Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:03.345244Z","title":null,"venue":null,"work_id":"a4eb1c36-0ec3-4491-8df9-9bc79942376d","year":null},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.680303Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:9fe388e89c92813740b604939513505b2874c2b9f30e34495d38788ca20561cd","observation_id":"b2b59df5-453e-4168-9ea6-656fa31f9d04","resolution":{"observed_at":"2026-08-10T14:00:03.350066Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:03.309916Z","title":null,"venue":null,"work_id":"bd1992d6-23c0-4295-92e9-1ab33b697932","year":2024},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.689481Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:431c34252f7c9c909b4813024e04b37c7c464ace0c16de33c79004abbe948b00","observation_id":"1b6b7f26-07fb-48f4-bb8e-de4cb0870a33","resolution":{"observed_at":"2026-08-10T14:00:03.315552Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:03.291674Z","title":null,"venue":null,"work_id":"25573dd9-3ae4-495c-92a1-c1f5da87b8ec","year":null},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.693573Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:e8273947307e26e009863c319cf2fd169ec50b22d6c05c2c89313b66ca732714","observation_id":"4c8d3823-c301-4464-bb17-4f5c59a5f957","resolution":{"observed_at":"2026-08-10T14:00:03.297758Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:03.258473Z","title":null,"venue":null,"work_id":"64959bfa-aad3-4b5a-bedd-7503365ef737","year":2018},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.702675Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:950ab42f47b1e89f4d4af33db5235ab7e7ebbd111c62a4aa4a340d4d7cdea103","observation_id":"89b47706-49b6-488a-846d-95150dfbed42","resolution":{"observed_at":"2026-08-10T14:00:03.263337Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:03.241724Z","title":null,"venue":null,"work_id":"df722df2-509f-4410-8e6e-65ad269240c6","year":2023},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.707485Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:59899624c668a0fa594ce15ffb457a826c01964d96b6293c93ded2c1d3f38285","observation_id":"7ac6d766-2500-428d-8ac2-cb86e0247e55","resolution":{"observed_at":"2026-08-10T14:00:03.246921Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:03.275479Z","title":"Nature communications 12, 1 (2021), 1992","venue":null,"work_id":"24d8499e-b260-4386-99a4-ee28a58f5e9b","year":2021},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.698389Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:de61967dba1f4ad4e0c9e1fd2956f8b2330b54e496f4f180e5349cff94932086","observation_id":"7191c0c8-f3fd-46c0-97f9-733b404b2a42","resolution":{"observed_at":"2026-08-10T14:00:03.280586Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:03.208950Z","title":null,"venue":null,"work_id":"b1df11cc-94a0-4054-a884-e3519674337e","year":null},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.716866Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:01dda21ea97eb469e679a355367b0128252522a2e0c732a02b23af2fd9aa0683","observation_id":"8c3fb094-4acc-421a-aa7f-8a76dc5f8a5b","resolution":{"observed_at":"2026-08-10T14:00:03.214131Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:02.726609Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.726609Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:868c9a4211ff6427e8a25e88be7c6393b7ca3fc885a9a72ec460a6e980943bf2","observation_id":"ded0a9ac-b95f-47f8-9803-b867fc883e19","resolution":{"observed_at":"2026-08-10T14:00:02.726609Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:03.224992Z","title":null,"venue":null,"work_id":"c32ef6da-a0f1-4fde-8eba-436e1d6fe1c6","year":2017},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.712290Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:a89610527a2488971d98d340bbdddf0e98e48f786b63823626a0c95484e3dbca","observation_id":"41eebd70-0f2d-42b8-91fc-bee9d81750fe","resolution":{"observed_at":"2026-08-10T14:00:03.230567Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:03.154067Z","title":null,"venue":null,"work_id":"cbae00d5-1d78-461c-80a5-a524dab8973b","year":2019},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.736384Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:162fe4bf6d1cb7be88d6d84bffd3fc17ba24d1158793d27ae1acc6a83ac9df00","observation_id":"b122ce96-c967-4732-b977-22662e1df8bd","resolution":{"observed_at":"2026-08-10T14:00:03.158875Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:03.137595Z","title":null,"venue":null,"work_id":"881d6f94-e930-4338-80dd-c9b5f3ce4e41","year":2022},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.741076Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:25f0bfe2897beb6b26bb05c1f6d395966df555d66e4ca9d2540664c0254accd4","observation_id":"148803e0-2fa6-40a2-ab5b-a9b0685e349c","resolution":{"observed_at":"2026-08-10T14:00:03.143389Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:02.745878Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.745878Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:5d54987f065764f22e46f9a9d6adf2cd1937abe74a0f4a4f13cb6ccf37ffb010","observation_id":"8f7e53fb-76c1-48bc-b342-226d89fd5553","resolution":{"observed_at":"2026-08-10T14:00:02.745878Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:03.169231Z","title":null,"venue":null,"work_id":"166eed97-cd5a-49fc-bc3d-d0292d7efe77","year":2021},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.731269Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:0f0ba13b666bd3bbd1e4d42ce059441f28e58ccb70efa9ef366b075377ae286e","observation_id":"ca44bede-a4e3-425a-bc97-d2284d8333f0","resolution":{"observed_at":"2026-08-10T14:00:03.173443Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:02.761539Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.761539Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:7299837b11ccbdc34bc8c2e8ced179383cbebf1cf34f646fad2a10030e6f838a","observation_id":"58daa5b4-f60f-4e6a-b3f8-933be8e7bb4a","resolution":{"observed_at":"2026-08-10T14:00:02.761539Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:02.766616Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.766616Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:8608730b254d44ea725b3bd11b05d22962f78a55748f2aca110409656187dfa3","observation_id":"3246d1eb-40b2-4dd9-8e56-a3ce54b44c31","resolution":{"observed_at":"2026-08-10T14:00:02.766616Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:03.040931Z","title":null,"venue":null,"work_id":"5ef000fe-0a38-4167-96e2-52f3b3340ee6","year":2023},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.776499Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:a4a86863514fa0aa920e1cfc3e739c19637698a6ee2a15586f39ddcba45cf87e","observation_id":"2b0887d2-f8dc-461a-b97d-a3c3d35a814f","resolution":{"observed_at":"2026-08-10T14:00:03.046022Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:03.025070Z","title":null,"venue":null,"work_id":"03a14cb3-0c64-45ee-aeff-57d31144f255","year":2023},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.781165Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:92b630dd979c4776703e29745994da4606a7a798d84150a6a3d949ff265d27cc","observation_id":"4a9f2878-2b13-4613-9639-d459870f8954","resolution":{"observed_at":"2026-08-10T14:00:03.030107Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:03.096519Z","title":null,"venue":null,"work_id":"471be7f2-264c-4099-b6bc-308684a229a9","year":2025},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.756550Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:28f6177b4f24aa99f65c4bdc321a13e9d76204893f628fe9f962420ab07be606","observation_id":"6f7dc4a4-3084-4b1f-82c5-dd4d0ebe7746","resolution":{"observed_at":"2026-08-10T14:00:03.102567Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:02.995014Z","title":null,"venue":null,"work_id":"e26c67e9-5f4d-44e9-93f4-b73ea27eb921","year":2021},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.791182Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:11310a9edc695183b0963cf8e2d5a7c287f7edda929b3514a0ca9a798c941ccd","observation_id":"c4f9d0b3-6982-458d-9968-39de4b1b2283","resolution":{"observed_at":"2026-08-10T14:00:03.000228Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:02.979394Z","title":null,"venue":null,"work_id":"82c7476a-bde1-49d2-ab52-a199cbe896ef","year":2021},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.796068Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:a430bbd92e98a004620a5166d0f1436d849ad047e6a38b641f499b0d3a3fa057","observation_id":"4d4b5416-cb06-441b-9a25-101b3b2b2144","resolution":{"observed_at":"2026-08-10T14:00:02.984188Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:02.800677Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.800677Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:53e45b72e2e817c1fa7e81ce7d9883338253367690b2c7cf52913ed79dd1ec09","observation_id":"9d196193-1df9-4d88-a66b-7b4e31173605","resolution":{"observed_at":"2026-08-10T14:00:02.800677Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:02.953188Z","title":null,"venue":null,"work_id":"12d59a7c-d05b-457f-a065-03f456394a96","year":2020},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.805268Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:646f83cdfb1ae08ce69fa5705f3862cd8bb8d7d73a01c1bd176e0ee0c57bf5ce","observation_id":"ec543bea-e454-4a39-a6b9-66954037f40e","resolution":{"observed_at":"2026-08-10T14:00:02.957701Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:02.936887Z","title":null,"venue":null,"work_id":"2eb005fd-f5aa-4d1d-85b3-3134b1d4b444","year":null},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.811012Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:ca53ca323054cfbdd571f5f20bfd59601764d47f8524f47f1e6a69202aac57a6","observation_id":"51459e55-c651-4e31-ad45-302388ae9595","resolution":{"observed_at":"2026-08-10T14:00:02.941626Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:03.010248Z","title":null,"venue":null,"work_id":"16604ff3-9784-4947-b738-c9e7e7c5817c","year":2024},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.785974Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:50f8f71c96d32f62f0c6f86cb6d49da935afa59a0154e97298fda01118f34280","observation_id":"474a0149-9744-4403-864d-a0447ccc61d2","resolution":{"observed_at":"2026-08-10T14:00:03.014886Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:02.880208Z","title":null,"venue":null,"work_id":"6da23519-c410-45da-915a-b7df14dc303c","year":2021},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.825813Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:4cce94da2c4cca100438f1ddb6676c37cf4855721ecfd10f8a9a54a1d14ee221","observation_id":"beaedf71-e1ed-4d14-accc-0ae9fe11fdd4","resolution":{"observed_at":"2026-08-10T14:00:02.887123Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:02.899715Z","title":null,"venue":null,"work_id":"2e0d6a67-b02f-4ca0-9f9f-a12eba4e87f0","year":2022},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.820331Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:ca9badfad4ec131e5db86eee267c7b212665277bd00aa432279075b3b78a383d","observation_id":"4fd7ccc1-5d64-46e2-99c5-745bb1d06814","resolution":{"observed_at":"2026-08-10T14:00:02.905500Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:02.655891Z","title":"In Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":2009,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.655891Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:0f454a9f7986daa0bd2845bf9cd8ae3256a53f297e601452751771d4e26f1e61","observation_id":"ed57b75d-23c3-499a-89fb-4aaea193aa1c","resolution":{"observed_at":"2026-08-10T14:00:02.655891Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:03.057905Z","title":"In Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","venue":null,"work_id":"e6393073-d1f9-416e-91a2-32838e82b6c8","year":null},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":2016,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.771621Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:c41116e555163d21dc192b42819deb26f7d63265ed74b142e062cb6254b5f161","observation_id":"558cec68-60d0-43a3-ac34-22dc8603da3c","resolution":{"observed_at":"2026-08-10T14:00:03.063057Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:02.751818Z","title":"In Proceedings of the 26th International Joint Conference on Artificial Intelligence","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.751818Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:e50209e576b111cc636f89f997b2f58d6a89668348491fa6d5e36a75f2308a0a","observation_id":"e3d2cf8b-9b9a-4b2f-a3dd-9ffa123c0c73","resolution":{"observed_at":"2026-08-10T14:00:02.751818Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:03.327809Z","title":"Advances in Neural Information Processing Systems 34 (2021), 17221–17234","venue":null,"work_id":"d43862ca-c7e0-4130-be5b-477681f29109","year":2021},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.685108Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:a466524e6883ffb29378d1731e8970373ab7286f51542d9fdffdd9c93524b855","observation_id":"bd0c5c3c-e939-498d-99ef-f1fc378b8f12","resolution":{"observed_at":"2026-08-10T14:00:03.334379Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:03.193909Z","title":"In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","venue":null,"work_id":"6d28ba78-3770-4e39-9d9b-bfcca6980c77","year":null},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.721496Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:d9d0b6e88e29dde8eb7cabd72f5e2fbb8295f9297613414c0345176caec2cae6","observation_id":"b17591d2-66e9-4f5c-9a95-ae0105bd3fd6","resolution":{"observed_at":"2026-08-10T14:00:03.198861Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:00:02.918227Z","title":"In Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval","venue":null,"work_id":"e78b6ab2-69de-4faa-bcd6-d30538c752bb","year":null},"citing_paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-10T14:00:02.815776Z"},"links":{"citing_paper":"/paper/2501.15816"},"observation_digest":"sha256:f248d13fe0233f7a23f322232e7cf16e2ab906cfd7fe67da2c6a441def847571","observation_id":"b2df6a00-48d8-4d29-9ba5-3f6b1cc2b2df","resolution":{"observed_at":"2026-08-10T14:00:02.924924Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2501.15816","last_updated":"2025-01-27T06:49:27Z","latest_version":1,"primary_category":"cs.IR","snapshot_observed_at":"2026-08-17T12:44:08.075115Z","submitted_at":"2025-01-27T06:49:27Z","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System"},"reference_resolution":{"displayed":67,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":62,"verified_exact":0,"verified_fuzzy":5},"total_outbound_references":67},"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":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 0 inbound Pith citation observations for arXiv:2501.15816."}