{"as_of":"2026-08-09T14:35:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:804beffbbbe13773aff33d761dd7920b47a9e97d559531724bb70f51292064d9","coverage":[{"denominator":52,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":52,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T19:32:51.252322Z","state":"measured"},{"denominator":52,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":52,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+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/2508.12386/citation-record","integrity":"/paper/2508.12386/integrity","json":"/paper/2508.12386/citation-record.json","paper":"/paper/2508.12386"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T19:32:44.981439Z","title":", \" * write output.state after.block = add.period write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.12386","last_updated":"2025-08-17T14:49:02Z","snapshot_observed_at":"2026-08-05T19:32:35.226910Z","submitted_at":"2025-08-17T14:49:02Z","title":"Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-05T19:32:44.981439Z"},"links":{"citing_paper":"/paper/2508.12386"},"observation_digest":"sha256:631e39e06dbcc10a64fb3ec3c60a8ec3e8c5f4b617569b10591c01621ad86fad","observation_id":"c344646d-5966-46d8-a828-471c2418fe52","resolution":{"observed_at":"2026-08-05T19:32:44.981439Z","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":"2026-08-05T19:32:45.087224Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.12386","last_updated":"2025-08-17T14:49:02Z","snapshot_observed_at":"2026-08-05T19:32:35.226910Z","submitted_at":"2025-08-17T14:49:02Z","title":"Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-05T19:32:45.087224Z"},"links":{"citing_paper":"/paper/2508.12386"},"observation_digest":"sha256:07023c5c7f17581399ed3c0893023126361ebba013ed02e87ef7292ea10bcb78","observation_id":"4401d993-8a83-41b0-907f-06713876d5f2","resolution":{"observed_at":"2026-08-05T19:32:45.087224Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1901.09888","last_updated":"2019-01-29T14:18:38Z","snapshot_observed_at":"2026-07-06T07:29:33.628905Z","submitted_at":"2019-01-29T14:18:38Z","title":"Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1901.09888","snapshot_observed_at":"2026-08-05T19:32:45.224663Z","title":"A.; Oyomno, W.; Fu, Q.; Tan, K","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2508.12386","last_updated":"2025-08-17T14:49:02Z","snapshot_observed_at":"2026-08-05T19:32:35.226910Z","submitted_at":"2025-08-17T14:49:02Z","title":"Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-05T19:32:45.224663Z"},"links":{"cited_paper":"/paper/1901.09888","citing_paper":"/paper/2508.12386"},"observation_digest":"sha256:a0ad68c610169b7b236cb4b90577a3a26556e063c7507391aa82fa401be109cb","observation_id":"736e2250-6da5-4a0a-96f2-cb098b7a378d","resolution":{"observed_at":"2026-08-05T19:32:45.224663Z","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":"2026-08-05T19:32:57.209212Z","title":null,"venue":null,"work_id":"ad3be102-f343-469f-9fca-c8a1e3dc4799","year":2017},"citing_paper":{"arxiv_id":"2508.12386","last_updated":"2025-08-17T14:49:02Z","snapshot_observed_at":"2026-08-05T19:32:35.226910Z","submitted_at":"2025-08-17T14:49:02Z","title":"Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-05T19:32:45.401665Z"},"links":{"citing_paper":"/paper/2508.12386"},"observation_digest":"sha256:70a11d012954daa8922056683f474a4695a9441da430b3dc00a8a105684242ec","observation_id":"72688120-8395-4a88-8ec0-8066b0dca037","resolution":{"observed_at":"2026-08-05T19:32:57.213838Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T19:32:57.194738Z","title":"E.; and Nocedal, J","venue":null,"work_id":"051da96b-c2c9-4f8c-af6d-a0f26a95f910","year":2018},"citing_paper":{"arxiv_id":"2508.12386","last_updated":"2025-08-17T14:49:02Z","snapshot_observed_at":"2026-08-05T19:32:35.226910Z","submitted_at":"2025-08-17T14:49:02Z","title":"Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-05T19:32:45.568765Z"},"links":{"citing_paper":"/paper/2508.12386"},"observation_digest":"sha256:0c8ef5483c361bbe681a5ca6515764e07fef9036fbf9c2164670b335570bf1cc","observation_id":"5ba68759-863f-4ee2-9930-b7b969d54a6d","resolution":{"observed_at":"2026-08-05T19:32:57.199130Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T19:32:57.179571Z","title":"P.; and Vandenberghe, L","venue":null,"work_id":"a88e3cfc-498f-48ae-bbaa-08c4fc740252","year":2004},"citing_paper":{"arxiv_id":"2508.12386","last_updated":"2025-08-17T14:49:02Z","snapshot_observed_at":"2026-08-05T19:32:35.226910Z","submitted_at":"2025-08-17T14:49:02Z","title":"Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-05T19:32:45.733317Z"},"links":{"citing_paper":"/paper/2508.12386"},"observation_digest":"sha256:85cb685518109f3a8b7c618119a130f9b15936c4b181ec8416b1840517cf7ab3","observation_id":"b92f696a-2d65-4ddc-84a7-650545897a52","resolution":{"observed_at":"2026-08-05T19:32:57.184356Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T19:32:57.164480Z","title":null,"venue":null,"work_id":"75abb028-928f-4fa9-821c-74f05ac98f5d","year":2011},"citing_paper":{"arxiv_id":"2508.12386","last_updated":"2025-08-17T14:49:02Z","snapshot_observed_at":"2026-08-05T19:32:35.226910Z","submitted_at":"2025-08-17T14:49:02Z","title":"Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-05T19:32:45.884787Z"},"links":{"citing_paper":"/paper/2508.12386"},"observation_digest":"sha256:153c16119861610652aa41bad8ab88e1b0566f043ff89b403c286e4c1552c832","observation_id":"ce75ecd1-d68e-4f0f-be2a-94924d62e2e6","resolution":{"observed_at":"2026-08-05T19:32:57.168911Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T19:32:57.149190Z","title":null,"venue":null,"work_id":"a7fd71c1-7c61-4f39-9541-b6dd1e3414b0","year":2020},"citing_paper":{"arxiv_id":"2508.12386","last_updated":"2025-08-17T14:49:02Z","snapshot_observed_at":"2026-08-05T19:32:35.226910Z","submitted_at":"2025-08-17T14:49:02Z","title":"Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-05T19:32:46.064819Z"},"links":{"citing_paper":"/paper/2508.12386"},"observation_digest":"sha256:78e94c1f8b680c8a7e33a1af795656fbbd0496481412aa80b6833e152fe7a56a","observation_id":"74be0175-2da0-496e-9615-9936d5f22444","resolution":{"observed_at":"2026-08-05T19:32:57.153850Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T19:32:57.134746Z","title":null,"venue":null,"work_id":"ba9943fa-9c86-4dbe-9181-3e4d5136b955","year":2023},"citing_paper":{"arxiv_id":"2508.12386","last_updated":"2025-08-17T14:49:02Z","snapshot_observed_at":"2026-08-05T19:32:35.226910Z","submitted_at":"2025-08-17T14:49:02Z","title":"Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-05T19:32:46.210636Z"},"links":{"citing_paper":"/paper/2508.12386"},"observation_digest":"sha256:27dd41e0d1781806ea5c248d599640e81485ddceccc6bf39ba614ad7dd659257","observation_id":"a4ea92ec-53f4-46db-bedd-2e996ea3e3fa","resolution":{"observed_at":"2026-08-05T19:32:57.139054Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.09525","last_updated":"2025-06-11T08:51:19Z","snapshot_observed_at":"2026-08-07T04:44:13.949479Z","submitted_at":"2025-06-11T08:51:19Z","title":"Beyond Personalization: Federated Recommendation with Calibration via Low-rank Decomposition","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.09525","snapshot_observed_at":"2026-08-05T19:32:46.375189Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.12386","last_updated":"2025-08-17T14:49:02Z","snapshot_observed_at":"2026-08-05T19:32:35.226910Z","submitted_at":"2025-08-17T14:49:02Z","title":"Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-05T19:32:46.375189Z"},"links":{"cited_paper":"/paper/2506.09525","citing_paper":"/paper/2508.12386"},"observation_digest":"sha256:24529201f2622635e2f6afaab68e539b347f7d67b1d156156ff9026f804482d4","observation_id":"d4af53d7-1714-4ce1-85b4-1adadae8e039","resolution":{"observed_at":"2026-08-05T19:32:46.375189Z","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":"2026-08-05T19:32:57.120344Z","title":null,"venue":null,"work_id":"bc57037a-d814-4e9f-a3bf-5b7df68b35ef","year":2018},"citing_paper":{"arxiv_id":"2508.12386","last_updated":"2025-08-17T14:49:02Z","snapshot_observed_at":"2026-08-05T19:32:35.226910Z","submitted_at":"2025-08-17T14:49:02Z","title":"Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-05T19:32:46.447071Z"},"links":{"citing_paper":"/paper/2508.12386"},"observation_digest":"sha256:9453366f2d61947e58377ea46522f367c24f3c8816accb91cfc7877ade090fae","observation_id":"2fed107c-e0ce-4f3d-a80a-1ebfd3c00425","resolution":{"observed_at":"2026-08-05T19:32:57.124401Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T19:32:57.105587Z","title":null,"venue":null,"work_id":"db689739-17ba-4b0c-92d0-4c7b745cde22","year":2021},"citing_paper":{"arxiv_id":"2508.12386","last_updated":"2025-08-17T14:49:02Z","snapshot_observed_at":"2026-08-05T19:32:35.226910Z","submitted_at":"2025-08-17T14:49:02Z","title":"Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-05T19:32:46.574749Z"},"links":{"citing_paper":"/paper/2508.12386"},"observation_digest":"sha256:b1062814b0c567217e83ddebdf9d2634ecbf4d67b915f25c27e000efe570868b","observation_id":"29ce5d98-a54e-4a52-a892-52be8e066e75","resolution":{"observed_at":"2026-08-05T19:32:57.110097Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T19:32:57.091101Z","title":null,"venue":null,"work_id":"e6d48697-f735-41c4-9d7e-a5e383333a91","year":2006},"citing_paper":{"arxiv_id":"2508.12386","last_updated":"2025-08-17T14:49:02Z","snapshot_observed_at":"2026-08-05T19:32:35.226910Z","submitted_at":"2025-08-17T14:49:02Z","title":"Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-05T19:32:46.667482Z"},"links":{"citing_paper":"/paper/2508.12386"},"observation_digest":"sha256:ada83d95934c8104532e9e89d7b3b9e7c7cba53ee4734cbcd4d13d83d1a805a0","observation_id":"6d107101-e13c-4b6e-9474-dea1e72e1383","resolution":{"observed_at":"2026-08-05T19:32:57.095228Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T19:32:57.076911Z","title":null,"venue":null,"work_id":"31d5fdfb-7f09-4e66-93b1-54c80f8d86d3","year":2020},"citing_paper":{"arxiv_id":"2508.12386","last_updated":"2025-08-17T14:49:02Z","snapshot_observed_at":"2026-08-05T19:32:35.226910Z","submitted_at":"2025-08-17T14:49:02Z","title":"Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-05T19:32:46.735198Z"},"links":{"citing_paper":"/paper/2508.12386"},"observation_digest":"sha256:eedc4f3fbf79ececfa9bb324b4ea1c05c0de8a00eee878746b80d1cbb21f364d","observation_id":"75c10d52-f6fd-418c-ad8d-f201d614e170","resolution":{"observed_at":"2026-08-05T19:32:57.081329Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T19:32:57.062443Z","title":null,"venue":null,"work_id":"2d0519dd-4697-492c-8832-6ea0d13fad43","year":2013},"citing_paper":{"arxiv_id":"2508.12386","last_updated":"2025-08-17T14:49:02Z","snapshot_observed_at":"2026-08-05T19:32:35.226910Z","submitted_at":"2025-08-17T14:49:02Z","title":"Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-05T19:32:46.854742Z"},"links":{"citing_paper":"/paper/2508.12386"},"observation_digest":"sha256:8a10100c8e254da0b9e23f4d0781bc9fc5db1e7aa5f57f4fd4b9c7abf20ffc1a","observation_id":"37ee91e1-f6c3-411d-89aa-ba16f7842e4d","resolution":{"observed_at":"2026-08-05T19:32:57.066663Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T19:32:57.048323Z","title":null,"venue":null,"work_id":"a2909540-1b24-4e09-9639-35d59f4fc3e1","year":2025},"citing_paper":{"arxiv_id":"2508.12386","last_updated":"2025-08-17T14:49:02Z","snapshot_observed_at":"2026-08-05T19:32:35.226910Z","submitted_at":"2025-08-17T14:49:02Z","title":"Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-05T19:32:46.941574Z"},"links":{"citing_paper":"/paper/2508.12386"},"observation_digest":"sha256:aabaff225f3bd1b17f635a70e400c00abaa34812f511bee109b64d1d594b3050","observation_id":"f284df43-9cb6-45cd-9c0b-701ff825a3aa","resolution":{"observed_at":"2026-08-05T19:32:57.052551Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T19:32:57.033297Z","title":null,"venue":null,"work_id":"7d71e019-e1cf-4e42-828a-58ceae175c71","year":2025},"citing_paper":{"arxiv_id":"2508.12386","last_updated":"2025-08-17T14:49:02Z","snapshot_observed_at":"2026-08-05T19:32:35.226910Z","submitted_at":"2025-08-17T14:49:02Z","title":"Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-05T19:32:47.063957Z"},"links":{"citing_paper":"/paper/2508.12386"},"observation_digest":"sha256:badfa17e56e9d365f04141917da6409cb1d430787f7a7b6375b4613a7e10b312","observation_id":"9f7a7ccf-6c0f-48ac-a18c-07ded963ee48","resolution":{"observed_at":"2026-08-05T19:32:57.038045Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T19:32:57.018031Z","title":"M.; and Konstan, J","venue":null,"work_id":"67b44543-7423-48e9-a815-38f67f2a4112","year":2015},"citing_paper":{"arxiv_id":"2508.12386","last_updated":"2025-08-17T14:49:02Z","snapshot_observed_at":"2026-08-05T19:32:35.226910Z","submitted_at":"2025-08-17T14:49:02Z","title":"Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-05T19:32:47.193227Z"},"links":{"citing_paper":"/paper/2508.12386"},"observation_digest":"sha256:2205975ab8201401d7a04370d576415c2e3cd605f589df451477b8aa1f5835e9","observation_id":"41f56aaa-9f63-42e3-8b18-9327201e3b3c","resolution":{"observed_at":"2026-08-05T19:32:57.022656Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T19:32:56.998363Z","title":null,"venue":null,"work_id":"b82fe1e9-839a-4ef0-baa9-29aea1b614b7","year":2015},"citing_paper":{"arxiv_id":"2508.12386","last_updated":"2025-08-17T14:49:02Z","snapshot_observed_at":"2026-08-05T19:32:35.226910Z","submitted_at":"2025-08-17T14:49:02Z","title":"Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-05T19:32:47.284255Z"},"links":{"citing_paper":"/paper/2508.12386"},"observation_digest":"sha256:1bfa03d2d8939bb27cdb6c77ab230a6dd1104fdce23af59384a375361659b369","observation_id":"02bdd390-6bc8-48d2-a49f-38529924d6e7","resolution":{"observed_at":"2026-08-05T19:32:57.008007Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T19:32:56.983050Z","title":null,"venue":null,"work_id":"71170415-8c01-4b5d-86be-d54ada738e5d","year":2020},"citing_paper":{"arxiv_id":"2508.12386","last_updated":"2025-08-17T14:49:02Z","snapshot_observed_at":"2026-08-05T19:32:35.226910Z","submitted_at":"2025-08-17T14:49:02Z","title":"Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-05T19:32:47.379655Z"},"links":{"citing_paper":"/paper/2508.12386"},"observation_digest":"sha256:b6282532710d57c2df03c495e16f7b175829d4a4e9c9cc5540027783fd100cb7","observation_id":"145ec721-8f49-4ec4-a07d-7bb15365962d","resolution":{"observed_at":"2026-08-05T19:32:56.987631Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T19:32:56.966929Z","title":null,"venue":null,"work_id":"e8e96f33-8a0c-4bea-ac18-abeaedce7b50","year":2017},"citing_paper":{"arxiv_id":"2508.12386","last_updated":"2025-08-17T14:49:02Z","snapshot_observed_at":"2026-08-05T19:32:35.226910Z","submitted_at":"2025-08-17T14:49:02Z","title":"Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-05T19:32:47.475856Z"},"links":{"citing_paper":"/paper/2508.12386"},"observation_digest":"sha256:17f90c2987fbe29368771c26451022c0954c2636fb553390ce4d09e2924701eb","observation_id":"36d6507a-25ae-4e3b-8e0f-df2ddd91e73a","resolution":{"observed_at":"2026-08-05T19:32:56.972282Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T19:32:56.952729Z","title":null,"venue":null,"work_id":"b18bed3c-19cd-4d8b-943b-8378a85267c5","year":2024},"citing_paper":{"arxiv_id":"2508.12386","last_updated":"2025-08-17T14:49:02Z","snapshot_observed_at":"2026-08-05T19:32:35.226910Z","submitted_at":"2025-08-17T14:49:02Z","title":"Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-05T19:32:47.604741Z"},"links":{"citing_paper":"/paper/2508.12386"},"observation_digest":"sha256:767289fd617b8927a13b6e2222b473a1e7feb82d4d1b3aa4028d60ac473336bd","observation_id":"c3a958e0-cf7f-49ce-a3dd-4a5274c6a154","resolution":{"observed_at":"2026-08-05T19:32:56.957145Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T19:32:56.938201Z","title":null,"venue":null,"work_id":"86514b04-6436-490d-93bc-086d12ec91e9","year":2021},"citing_paper":{"arxiv_id":"2508.12386","last_updated":"2025-08-17T14:49:02Z","snapshot_observed_at":"2026-08-05T19:32:35.226910Z","submitted_at":"2025-08-17T14:49:02Z","title":"Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-05T19:32:47.751007Z"},"links":{"citing_paper":"/paper/2508.12386"},"observation_digest":"sha256:eccfc3830b6ff3db03f510245ee094367a1888dfd689f652ff7a593f7d7675d7","observation_id":"d39ffd80-17b6-4fd9-a990-2361aceceb0b","resolution":{"observed_at":"2026-08-05T19:32:56.942287Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T19:32:56.924176Z","title":null,"venue":null,"work_id":"d8b1c819-3ffa-48c8-9c4a-94b8dd4e2e6f","year":2019},"citing_paper":{"arxiv_id":"2508.12386","last_updated":"2025-08-17T14:49:02Z","snapshot_observed_at":"2026-08-05T19:32:35.226910Z","submitted_at":"2025-08-17T14:49:02Z","title":"Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-05T19:32:47.842518Z"},"links":{"citing_paper":"/paper/2508.12386"},"observation_digest":"sha256:e0bfc821d2ae8c8f3c08ce641445aceed036b668a476fe18b8b3d319ee575b3b","observation_id":"5a2289eb-fba9-4c37-9383-2fb96d591581","resolution":{"observed_at":"2026-08-05T19:32:56.928403Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T19:32:56.909668Z","title":"P.; Kale, S.; Mohri, M.; Reddi, S.; Stich, S.; and Suresh, A","venue":null,"work_id":"5d0987d6-267d-4c34-b631-3a777ded7785","year":2020},"citing_paper":{"arxiv_id":"2508.12386","last_updated":"2025-08-17T14:49:02Z","snapshot_observed_at":"2026-08-05T19:32:35.226910Z","submitted_at":"2025-08-17T14:49:02Z","title":"Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-05T19:32:47.944746Z"},"links":{"citing_paper":"/paper/2508.12386"},"observation_digest":"sha256:77071cffe0b825934e5718f77d4933fcfd6115e62dc0768a6d755c0b1590ab70","observation_id":"4364fcf3-2744-4002-b6be-338e5d2167a0","resolution":{"observed_at":"2026-08-05T19:32:56.914110Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T19:32:56.894378Z","title":null,"venue":null,"work_id":"104742b4-c0ae-45b0-83c3-394f8b6385c4","year":2009},"citing_paper":{"arxiv_id":"2508.12386","last_updated":"2025-08-17T14:49:02Z","snapshot_observed_at":"2026-08-05T19:32:35.226910Z","submitted_at":"2025-08-17T14:49:02Z","title":"Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-05T19:32:48.075686Z"},"links":{"citing_paper":"/paper/2508.12386"},"observation_digest":"sha256:d538dfeed3b5b2553951366fe83287f11f097f82b95c93452218e6d9839f5a7c","observation_id":"dba4de13-5902-49a6-9145-ce59dd3f69ce","resolution":{"observed_at":"2026-08-05T19:32:56.899107Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T19:32:56.878053Z","title":null,"venue":null,"work_id":"9261b7e4-183b-446e-b453-ec9aa117a064","year":2021},"citing_paper":{"arxiv_id":"2508.12386","last_updated":"2025-08-17T14:49:02Z","snapshot_observed_at":"2026-08-05T19:32:35.226910Z","submitted_at":"2025-08-17T14:49:02Z","title":"Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-05T19:32:48.144596Z"},"links":{"citing_paper":"/paper/2508.12386"},"observation_digest":"sha256:08bc2be45a0fb119edb013fc2606a746e6f9af6c23b68ad654c2bae8664cfe96","observation_id":"b58d8570-3ebb-4e2c-b72c-bded2c0c009a","resolution":{"observed_at":"2026-08-05T19:32:56.883656Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T19:32:56.712265Z","title":"K.; Zaheer, M.; Sanjabi, M.; Talwalkar, A.; and Smith, V","venue":null,"work_id":"b196983d-6d0b-44da-b6be-fbc8ddd74ebd","year":2020},"citing_paper":{"arxiv_id":"2508.12386","last_updated":"2025-08-17T14:49:02Z","snapshot_observed_at":"2026-08-05T19:32:35.226910Z","submitted_at":"2025-08-17T14:49:02Z","title":"Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-05T19:32:48.257616Z"},"links":{"citing_paper":"/paper/2508.12386"},"observation_digest":"sha256:7aa48cc265e3b63a7ebad6595aae2958d90c3f358f9732f76a824b606a16f6c6","observation_id":"d037f2c1-e184-4275-bd5e-f1041c2bfb56","resolution":{"observed_at":"2026-08-05T19:32:56.814325Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T19:32:56.609296Z","title":null,"venue":null,"work_id":"91b8779a-fc79-4967-9510-a590f9c90fb2","year":2024},"citing_paper":{"arxiv_id":"2508.12386","last_updated":"2025-08-17T14:49:02Z","snapshot_observed_at":"2026-08-05T19:32:35.226910Z","submitted_at":"2025-08-17T14:49:02Z","title":"Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-05T19:32:48.347799Z"},"links":{"citing_paper":"/paper/2508.12386"},"observation_digest":"sha256:6d473e3f7be67999cc705ec69cc8f58e2a52c46eb7d83e107cb207de23ce9daa","observation_id":"1a75cdc8-01f3-48c7-b621-d74078463cd6","resolution":{"observed_at":"2026-08-05T19:32:56.618868Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T19:32:56.350167Z","title":null,"venue":null,"work_id":"01bb9d83-7212-44f5-b907-8e9de3d3bc57","year":2022},"citing_paper":{"arxiv_id":"2508.12386","last_updated":"2025-08-17T14:49:02Z","snapshot_observed_at":"2026-08-05T19:32:35.226910Z","submitted_at":"2025-08-17T14:49:02Z","title":"Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-05T19:32:48.453821Z"},"links":{"citing_paper":"/paper/2508.12386"},"observation_digest":"sha256:ff8805e5d762898371a94383db2b0deb9a3b084951e67d899ea575ecebbc4532","observation_id":"9c51824b-dcba-46c9-b5f3-84133f7b171a","resolution":{"observed_at":"2026-08-05T19:32:56.461298Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T19:32:56.151536Z","title":null,"venue":null,"work_id":"087f3017-b2f3-490f-9430-14a4b127cd7c","year":2017},"citing_paper":{"arxiv_id":"2508.12386","last_updated":"2025-08-17T14:49:02Z","snapshot_observed_at":"2026-08-05T19:32:35.226910Z","submitted_at":"2025-08-17T14:49:02Z","title":"Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-05T19:32:48.555573Z"},"links":{"citing_paper":"/paper/2508.12386"},"observation_digest":"sha256:98589314405d3a16faf3e943db365baf494eee711866a439964697f0a2a2ebbd","observation_id":"c241acde-d256-4376-8081-2ad3bc541293","resolution":{"observed_at":"2026-08-05T19:32:56.255379Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T19:32:55.929208Z","title":null,"venue":null,"work_id":"8df5b7c4-9339-442b-9a59-16fab60fe1ec","year":2021},"citing_paper":{"arxiv_id":"2508.12386","last_updated":"2025-08-17T14:49:02Z","snapshot_observed_at":"2026-08-05T19:32:35.226910Z","submitted_at":"2025-08-17T14:49:02Z","title":"Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-05T19:32:48.694752Z"},"links":{"citing_paper":"/paper/2508.12386"},"observation_digest":"sha256:1204ea6861b3782fe37b247e55d8fa4312b4d58a36bbcf7728baee4b1915fcae","observation_id":"e6c66296-b9ab-4ce8-a786-02be190aba72","resolution":{"observed_at":"2026-08-05T19:32:56.031246Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T19:32:55.699602Z","title":null,"venue":null,"work_id":"39f782a7-91a6-41b4-b8d0-563f809ee9ee","year":2020},"citing_paper":{"arxiv_id":"2508.12386","last_updated":"2025-08-17T14:49:02Z","snapshot_observed_at":"2026-08-05T19:32:35.226910Z","submitted_at":"2025-08-17T14:49:02Z","title":"Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-05T19:32:48.812420Z"},"links":{"citing_paper":"/paper/2508.12386"},"observation_digest":"sha256:9fc6b23319dbb93b73c333a0bb74dcf632d99b5217a71d72f8edaddaf36738d4","observation_id":"802100a9-59d5-4dca-a30d-1339519b7f6f","resolution":{"observed_at":"2026-08-05T19:32:55.807706Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T19:32:55.518692Z","title":"T.; Le, D","venue":null,"work_id":"8590fbd4-8641-40b8-a605-188818748d79","year":2024},"citing_paper":{"arxiv_id":"2508.12386","last_updated":"2025-08-17T14:49:02Z","snapshot_observed_at":"2026-08-05T19:32:35.226910Z","submitted_at":"2025-08-17T14:49:02Z","title":"Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-05T19:32:48.900780Z"},"links":{"citing_paper":"/paper/2508.12386"},"observation_digest":"sha256:20a81c5ce48ad5c0d5df7d252ad970f725870cf31bf458b27849afeb59af0344","observation_id":"93e3b761-2c81-4313-aff3-c20b905612c3","resolution":{"observed_at":"2026-08-05T19:32:55.617192Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T19:32:55.324913Z","title":null,"venue":null,"work_id":"8f770c0a-66ac-4b28-8d00-cea0fb36ef88","year":2022},"citing_paper":{"arxiv_id":"2508.12386","last_updated":"2025-08-17T14:49:02Z","snapshot_observed_at":"2026-08-05T19:32:35.226910Z","submitted_at":"2025-08-17T14:49:02Z","title":"Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-05T19:32:48.979400Z"},"links":{"citing_paper":"/paper/2508.12386"},"observation_digest":"sha256:8d75f165e818b2483e5c4e657784437c9b923889f437a207d1ff64e5c85097e6","observation_id":"d1a89342-246b-4d0f-a1cf-f8793dff05c4","resolution":{"observed_at":"2026-08-05T19:32:55.424759Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T19:32:55.065833Z","title":null,"venue":null,"work_id":"fefb8ee9-8479-483d-8472-dd50d68a7e6b","year":2024},"citing_paper":{"arxiv_id":"2508.12386","last_updated":"2025-08-17T14:49:02Z","snapshot_observed_at":"2026-08-05T19:32:35.226910Z","submitted_at":"2025-08-17T14:49:02Z","title":"Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-05T19:32:49.074901Z"},"links":{"citing_paper":"/paper/2508.12386"},"observation_digest":"sha256:434b724184f686d772e1e7fa052248c53136b1b42330d1ef5fa82e99079232ce","observation_id":"a61e278b-bef4-48c3-9713-3b1042b197dc","resolution":{"observed_at":"2026-08-05T19:32:55.190497Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T19:32:54.761646Z","title":null,"venue":null,"work_id":"717ff980-809f-4dd9-ad0e-1367b90bbd56","year":2014},"citing_paper":{"arxiv_id":"2508.12386","last_updated":"2025-08-17T14:49:02Z","snapshot_observed_at":"2026-08-05T19:32:35.226910Z","submitted_at":"2025-08-17T14:49:02Z","title":"Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-05T19:32:49.154289Z"},"links":{"citing_paper":"/paper/2508.12386"},"observation_digest":"sha256:c957f46c2141536e8d09bdc6732bb2cab19729a9e039fe36a30e436cbd30c201","observation_id":"5800eba3-c9e8-47fa-8426-700c4e8a9696","resolution":{"observed_at":"2026-08-05T19:32:54.893925Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T19:32:54.564747Z","title":null,"venue":null,"work_id":"5b833853-eddb-4e92-baf7-1ef8d4ab9d92","year":2024},"citing_paper":{"arxiv_id":"2508.12386","last_updated":"2025-08-17T14:49:02Z","snapshot_observed_at":"2026-08-05T19:32:35.226910Z","submitted_at":"2025-08-17T14:49:02Z","title":"Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-05T19:32:49.276312Z"},"links":{"citing_paper":"/paper/2508.12386"},"observation_digest":"sha256:faba167605509dfc3818b91ff7e2e7661f455730955f0496c43019169c3d4b68","observation_id":"e8cd4f15-0ede-4660-a2b9-95fccd28745b","resolution":{"observed_at":"2026-08-05T19:32:54.666574Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T19:32:54.248315Z","title":null,"venue":null,"work_id":"a361c307-08ca-4c9f-bee3-c4efd38f155d","year":2020},"citing_paper":{"arxiv_id":"2508.12386","last_updated":"2025-08-17T14:49:02Z","snapshot_observed_at":"2026-08-05T19:32:35.226910Z","submitted_at":"2025-08-17T14:49:02Z","title":"Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-05T19:32:49.388249Z"},"links":{"citing_paper":"/paper/2508.12386"},"observation_digest":"sha256:c4f94483b4331d1e9b3bf93a1484883c44c1f541c61eae18e78584b332469302","observation_id":"29ee2537-5b89-4e55-ac5c-acde153c0cf5","resolution":{"observed_at":"2026-08-05T19:32:54.370836Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T19:32:53.983648Z","title":"H.; Farokhi, F.; Jin, S.; Quek, T","venue":null,"work_id":"0767ec0a-4ed3-40f3-89e1-445190e7afbb","year":2020},"citing_paper":{"arxiv_id":"2508.12386","last_updated":"2025-08-17T14:49:02Z","snapshot_observed_at":"2026-08-05T19:32:35.226910Z","submitted_at":"2025-08-17T14:49:02Z","title":"Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-05T19:32:49.524619Z"},"links":{"citing_paper":"/paper/2508.12386"},"observation_digest":"sha256:a17b168cf50c841447cc584f782e4628864a1a3923fa51e7670c9efb4ade6af8","observation_id":"f6af78ba-c0ac-43fa-b384-a9a1551d0583","resolution":{"observed_at":"2026-08-05T19:32:54.124746Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.07666","last_updated":"2025-12-31T04:06:49Z","snapshot_observed_at":"2026-08-07T23:28:24.025478Z","submitted_at":"2024-08-14T16:58:48Z","title":"Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.07666","snapshot_observed_at":"2026-08-05T19:32:49.689607Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.12386","last_updated":"2025-08-17T14:49:02Z","snapshot_observed_at":"2026-08-05T19:32:35.226910Z","submitted_at":"2025-08-17T14:49:02Z","title":"Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-05T19:32:49.689607Z"},"links":{"cited_paper":"/paper/2408.07666","citing_paper":"/paper/2508.12386"},"observation_digest":"sha256:02586dae5f5d757465de13fc31b0ad56bdd8d1b676e041117764a8053dcbcd00","observation_id":"896cc6f4-fa68-4ba7-8d4c-388bfe1eb322","resolution":{"observed_at":"2026-08-05T19:32:49.689607Z","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":"2026-08-05T19:32:53.794587Z","title":null,"venue":null,"work_id":"c0240c44-1544-4b4a-8482-302546aec44a","year":2023},"citing_paper":{"arxiv_id":"2508.12386","last_updated":"2025-08-17T14:49:02Z","snapshot_observed_at":"2026-08-05T19:32:35.226910Z","submitted_at":"2025-08-17T14:49:02Z","title":"Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-05T19:32:49.874193Z"},"links":{"citing_paper":"/paper/2508.12386"},"observation_digest":"sha256:e8d00b7889d1837da14c24055404fefad87722d0925d37158bbc34b79260400f","observation_id":"567d9e7b-5024-4ff8-97cf-dd6e48d6cc06","resolution":{"observed_at":"2026-08-05T19:32:53.869926Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.11441","last_updated":"2025-08-06T03:23:30Z","snapshot_observed_at":"2026-07-06T17:18:24.209069Z","submitted_at":"2024-01-21T09:42:24Z","title":"On-Device Recommender Systems: A Comprehensive Survey","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.11441","snapshot_observed_at":"2026-08-05T19:32:50.070722Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.12386","last_updated":"2025-08-17T14:49:02Z","snapshot_observed_at":"2026-08-05T19:32:35.226910Z","submitted_at":"2025-08-17T14:49:02Z","title":"Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-05T19:32:50.070722Z"},"links":{"cited_paper":"/paper/2401.11441","citing_paper":"/paper/2508.12386"},"observation_digest":"sha256:c7a3cb2acb2e9ae334fbb011f91d552ec41eda43fc67648d7a99b670c7a4c7bb","observation_id":"c6cbede7-0a58-48a0-a488-8e1c9e7c4c76","resolution":{"observed_at":"2026-08-05T19:32:50.070722Z","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":"2026-08-05T19:32:53.504866Z","title":null,"venue":null,"work_id":"0d1103b8-e8df-42e9-a156-3c14e89a512a","year":2020},"citing_paper":{"arxiv_id":"2508.12386","last_updated":"2025-08-17T14:49:02Z","snapshot_observed_at":"2026-08-05T19:32:35.226910Z","submitted_at":"2025-08-17T14:49:02Z","title":"Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-05T19:32:50.184824Z"},"links":{"citing_paper":"/paper/2508.12386"},"observation_digest":"sha256:06954f90c08ddb3de7a665b0485c57497eb0827bb47ad0de32ecda807924b2ae","observation_id":"4fefe1eb-c311-423c-83b2-3b9c043eebcc","resolution":{"observed_at":"2026-08-05T19:32:53.607997Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T19:32:53.185764Z","title":null,"venue":null,"work_id":"7c357f2d-2ebe-4133-975d-96163d82908e","year":2023},"citing_paper":{"arxiv_id":"2508.12386","last_updated":"2025-08-17T14:49:02Z","snapshot_observed_at":"2026-08-05T19:32:35.226910Z","submitted_at":"2025-08-17T14:49:02Z","title":"Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-05T19:32:50.279889Z"},"links":{"citing_paper":"/paper/2508.12386"},"observation_digest":"sha256:278e3978d502a7c5fbedb63ba08e75a4c8a0ae7c22a11a7f61bdbd9c8ebd8068","observation_id":"72476b43-8472-4efd-8280-f8f61cdab3e0","resolution":{"observed_at":"2026-08-05T19:32:53.287801Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T19:32:52.955720Z","title":null,"venue":null,"work_id":"7416166b-9908-4ff9-94af-4a0b824f3dba","year":2024},"citing_paper":{"arxiv_id":"2508.12386","last_updated":"2025-08-17T14:49:02Z","snapshot_observed_at":"2026-08-05T19:32:35.226910Z","submitted_at":"2025-08-17T14:49:02Z","title":"Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-05T19:32:50.334647Z"},"links":{"citing_paper":"/paper/2508.12386"},"observation_digest":"sha256:3eed248abfe5035f0204907419652f1e2be217aff1044bd06fdb2c3d698bdf2e","observation_id":"46b6b26d-0496-41fa-81e0-adbec4923f47","resolution":{"observed_at":"2026-08-05T19:32:53.057605Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.03933","last_updated":"2024-06-06T10:17:52Z","snapshot_observed_at":"2026-07-06T18:26:23.994796Z","submitted_at":"2024-06-06T10:17:52Z","title":"Beyond Similarity: Personalized Federated Recommendation with Composite Aggregation","version":1},"cited_work":{"arxiv_id":"2406.03933","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.03933","snapshot_observed_at":"2026-08-05T19:32:51.575884Z","title":"Beyond Similarity: Personalized Federated Recommendation with Composite Aggregation","venue":"cs.CR","work_id":"335ee0de-2569-4a99-87e5-589d0b9f5f6a","year":2024},"citing_paper":{"arxiv_id":"2508.12386","last_updated":"2025-08-17T14:49:02Z","snapshot_observed_at":"2026-08-05T19:32:35.226910Z","submitted_at":"2025-08-17T14:49:02Z","title":"Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-05T19:32:50.563813Z"},"links":{"cited_paper":"/paper/2406.03933","citing_paper":"/paper/2508.12386"},"observation_digest":"sha256:dfef39e4632f11c72834a72daeacbf742de28b850a807260b41df340bf06af7a","observation_id":"ff59fe44-2a24-43e5-b9dc-2d929dfa68bb","resolution":{"observed_at":"2026-08-05T19:32:51.646935Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T19:32:50.751291Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.12386","last_updated":"2025-08-17T14:49:02Z","snapshot_observed_at":"2026-08-05T19:32:35.226910Z","submitted_at":"2025-08-17T14:49:02Z","title":"Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-05T19:32:50.751291Z"},"links":{"citing_paper":"/paper/2508.12386"},"observation_digest":"sha256:f1ab2178a9031ee218f2aff6ebda876469eb21a68455c62bf56f9fad353cdd3a","observation_id":"001a3fff-4a02-402e-9baa-9076ae39cbc0","resolution":{"observed_at":"2026-08-05T19:32:50.751291Z","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":"2026-08-05T19:32:52.727308Z","title":null,"venue":null,"work_id":"eeaac202-60f8-43c6-8242-e25d710eacdc","year":2023},"citing_paper":{"arxiv_id":"2508.12386","last_updated":"2025-08-17T14:49:02Z","snapshot_observed_at":"2026-08-05T19:32:35.226910Z","submitted_at":"2025-08-17T14:49:02Z","title":"Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-05T19:32:50.881264Z"},"links":{"citing_paper":"/paper/2508.12386"},"observation_digest":"sha256:a03f8d01f152cc3c8206d8b840194aaabb8a34fba4270119f4c92a7e05baf03b","observation_id":"e8799de3-b93d-4476-add0-bd76b8989b26","resolution":{"observed_at":"2026-08-05T19:32:52.850278Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T19:32:52.459895Z","title":null,"venue":null,"work_id":"96cfe5ae-875b-4ad6-b5ac-b45aa4c01c16","year":2023},"citing_paper":{"arxiv_id":"2508.12386","last_updated":"2025-08-17T14:49:02Z","snapshot_observed_at":"2026-08-05T19:32:35.226910Z","submitted_at":"2025-08-17T14:49:02Z","title":"Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-05T19:32:51.007482Z"},"links":{"citing_paper":"/paper/2508.12386"},"observation_digest":"sha256:a89e2a45d2cdb3f6bdbf0afc0ea275201ab26b20c3f6b7aa4886a8d03dc7dab7","observation_id":"ef967f47-fe03-4b51-8145-73f4cbc25e40","resolution":{"observed_at":"2026-08-05T19:32:52.596310Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T19:32:52.142539Z","title":null,"venue":null,"work_id":"7dc4f623-8a34-45e0-820e-7cad61734036","year":2021},"citing_paper":{"arxiv_id":"2508.12386","last_updated":"2025-08-17T14:49:02Z","snapshot_observed_at":"2026-08-05T19:32:35.226910Z","submitted_at":"2025-08-17T14:49:02Z","title":"Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-05T19:32:51.127115Z"},"links":{"citing_paper":"/paper/2508.12386"},"observation_digest":"sha256:ca3ba2b9739b5a2760937879289fc1a10d90c5700292a1eb10f3fc0477b7f8f4","observation_id":"e342fc8f-954d-4f49-8e5d-0cffbb52c092","resolution":{"observed_at":"2026-08-05T19:32:52.298514Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T19:32:51.861747Z","title":null,"venue":null,"work_id":"230add7d-5a8c-42c2-9911-8a5e6f1ae8cc","year":2024},"citing_paper":{"arxiv_id":"2508.12386","last_updated":"2025-08-17T14:49:02Z","snapshot_observed_at":"2026-08-05T19:32:35.226910Z","submitted_at":"2025-08-17T14:49:02Z","title":"Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-05T19:32:51.252322Z"},"links":{"citing_paper":"/paper/2508.12386"},"observation_digest":"sha256:590a6325f714201d88931f5466eb97062f002fc4eed44a469c8b3f8e7ffba3b2","observation_id":"3229096a-233c-4c4f-b10f-47eb51a562dc","resolution":{"observed_at":"2026-08-05T19:32:51.955434Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2508.12386","last_updated":"2025-08-17T14:49:02Z","latest_version":1,"primary_category":"cs.DC","snapshot_observed_at":"2026-08-05T19:32:35.226910Z","submitted_at":"2025-08-17T14:49:02Z","title":"Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach"},"reference_resolution":{"displayed":52,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":44,"verified_exact":1,"verified_fuzzy":7},"total_outbound_references":52},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2508.12386."}