{"as_of":"2026-08-17T09:58:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:bb5028ad5970a9c6f2d75d9cd0a8ca4db7ed70624b4a905933031649a45844d0","coverage":[{"denominator":45,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":45,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T19:31:00.519199Z","state":"measured"},{"denominator":45,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":45,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2507.08842/citation-record","integrity":"/paper/2507.08842/integrity","json":"/paper/2507.08842/citation-record.json","paper":"/paper/2507.08842"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:31:06.509851Z","title":"Recommender systems","venue":null,"work_id":"eea0e822-76fd-4014-bfbf-b85c5d732521","year":1997},"citing_paper":{"arxiv_id":"2507.08842","last_updated":"2025-07-08T03:24:54Z","snapshot_observed_at":"2026-08-16T22:05:26.240969Z","submitted_at":"2025-07-08T03:24:54Z","title":"Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T19:30:56.255594Z"},"links":{"citing_paper":"/paper/2507.08842"},"observation_digest":"sha256:dfa2a637c29e52a3185a9d41c3ed983ba87a3df57bf4eb19a8df3474973bdfd1","observation_id":"ddc8c86d-a12c-406f-bff3-55996d0b4b37","resolution":{"observed_at":"2026-08-06T19:31:06.514534Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T19:31:06.494287Z","title":"Recommender systems","venue":null,"work_id":"6df366eb-c190-415e-a017-0ccfb5452ddf","year":2012},"citing_paper":{"arxiv_id":"2507.08842","last_updated":"2025-07-08T03:24:54Z","snapshot_observed_at":"2026-08-16T22:05:26.240969Z","submitted_at":"2025-07-08T03:24:54Z","title":"Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T19:30:56.334201Z"},"links":{"citing_paper":"/paper/2507.08842"},"observation_digest":"sha256:9bf529e6a902da40e501bfe880046e47dabb42cf3266433de178970c658ec7d4","observation_id":"b8064c27-64ff-4f62-88cf-c00dd470fc78","resolution":{"observed_at":"2026-08-06T19:31:06.498748Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T19:31:06.477797Z","title":"A counterfactual framework for learning and evaluating explanations for recommender systems","venue":null,"work_id":"66a3b331-5424-47fc-9621-cfe2556d69de","year":2024},"citing_paper":{"arxiv_id":"2507.08842","last_updated":"2025-07-08T03:24:54Z","snapshot_observed_at":"2026-08-16T22:05:26.240969Z","submitted_at":"2025-07-08T03:24:54Z","title":"Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T19:30:56.374158Z"},"links":{"citing_paper":"/paper/2507.08842"},"observation_digest":"sha256:35ba00c1dddefd69f95b26737ea90bbc656d971661b8655ab382f55d70477db8","observation_id":"8212fc13-f625-4b61-b831-c04e4f3ea0fe","resolution":{"observed_at":"2026-08-06T19:31:06.482625Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T19:31:06.461620Z","title":"Dual policy learning for aggre- gation optimization in graph neural network-based recommender systems","venue":null,"work_id":"bf44fce7-b53e-465c-aec9-f57c9311a4da","year":2023},"citing_paper":{"arxiv_id":"2507.08842","last_updated":"2025-07-08T03:24:54Z","snapshot_observed_at":"2026-08-16T22:05:26.240969Z","submitted_at":"2025-07-08T03:24:54Z","title":"Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T19:30:56.442964Z"},"links":{"citing_paper":"/paper/2507.08842"},"observation_digest":"sha256:4ebc799f0b3c9100fd80589ab496f80fff7e612beccfc39f56d90a59b2f73e3e","observation_id":"5101efd7-62fd-4c68-9b4f-caf4dd6f030a","resolution":{"observed_at":"2026-08-06T19:31:06.466287Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T19:31:06.447748Z","title":"A social-semantic recommender system for advertisements","venue":null,"work_id":"148438aa-3714-4501-b64e-adc5db4fd032","year":2020},"citing_paper":{"arxiv_id":"2507.08842","last_updated":"2025-07-08T03:24:54Z","snapshot_observed_at":"2026-08-16T22:05:26.240969Z","submitted_at":"2025-07-08T03:24:54Z","title":"Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T19:30:56.500114Z"},"links":{"citing_paper":"/paper/2507.08842"},"observation_digest":"sha256:6a987ae9661effcdbc3fbdc496cdcd718dc864f99a3a592c123ca2ac6e8468f1","observation_id":"fd8a20ba-0d8d-48b0-93b2-3c58b0f9aba5","resolution":{"observed_at":"2026-08-06T19:31:06.452217Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T19:31:06.432650Z","title":"A survey of e-commerce recommender systems","venue":null,"work_id":"e2d10903-e5be-47ce-aeff-c40528fecb49","year":2007},"citing_paper":{"arxiv_id":"2507.08842","last_updated":"2025-07-08T03:24:54Z","snapshot_observed_at":"2026-08-16T22:05:26.240969Z","submitted_at":"2025-07-08T03:24:54Z","title":"Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T19:30:56.576631Z"},"links":{"citing_paper":"/paper/2507.08842"},"observation_digest":"sha256:f96bba2135d56b2b814e69d635046fd2764fa2c7f27e012db49ae9c3cdbdf003","observation_id":"b15d2797-1094-40f4-9f63-a74142f4651b","resolution":{"observed_at":"2026-08-06T19:31:06.437461Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T19:31:06.418151Z","title":"California consumer privacy act","venue":null,"work_id":"cac4930e-7053-4b82-8d40-5d595df68c2b","year":2022},"citing_paper":{"arxiv_id":"2507.08842","last_updated":"2025-07-08T03:24:54Z","snapshot_observed_at":"2026-08-16T22:05:26.240969Z","submitted_at":"2025-07-08T03:24:54Z","title":"Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T19:30:56.650318Z"},"links":{"citing_paper":"/paper/2507.08842"},"observation_digest":"sha256:de910e7f3accffa7cf10de44fb97cd06733ee33776b96fda66ae3d4b76708c66","observation_id":"0bb68ace-10e5-4d73-8fe1-a3e59a1dd94c","resolution":{"observed_at":"2026-08-06T19:31:06.422745Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T19:31:06.403457Z","title":"The EU general data protection regulation (GDPR) A Practical Guide","venue":null,"work_id":"1ab4c4dc-3b3f-4465-921a-85c5c86e594b","year":2017},"citing_paper":{"arxiv_id":"2507.08842","last_updated":"2025-07-08T03:24:54Z","snapshot_observed_at":"2026-08-16T22:05:26.240969Z","submitted_at":"2025-07-08T03:24:54Z","title":"Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T19:30:56.721666Z"},"links":{"citing_paper":"/paper/2507.08842"},"observation_digest":"sha256:8883638d6d97361025634a90525c2b79b1400cc0b558a63c59cf7d46c9b15991","observation_id":"bc0bafe8-1971-4504-a740-b2f8ddb7ae4d","resolution":{"observed_at":"2026-08-06T19:31:06.408059Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T19:31:06.388975Z","title":"Communication-efficient learning of deep networks from decentralized data","venue":null,"work_id":"ee1ea82d-0e45-43e5-b409-43ca7e254d31","year":2017},"citing_paper":{"arxiv_id":"2507.08842","last_updated":"2025-07-08T03:24:54Z","snapshot_observed_at":"2026-08-16T22:05:26.240969Z","submitted_at":"2025-07-08T03:24:54Z","title":"Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T19:30:56.799452Z"},"links":{"citing_paper":"/paper/2507.08842"},"observation_digest":"sha256:1a9b26dea7953835a72ccf15d864987fe3a5d9c3c89ce0e57d04073616c80955","observation_id":"0426f0c6-84a5-4cba-911f-7e7e77d31f16","resolution":{"observed_at":"2026-08-06T19:31:06.393120Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T19:31:06.373742Z","title":"Federated learning for generalization, robustness, fairness: A survey and benchmark","venue":null,"work_id":"362be12f-681c-4994-a132-e5de925cb96c","year":2024},"citing_paper":{"arxiv_id":"2507.08842","last_updated":"2025-07-08T03:24:54Z","snapshot_observed_at":"2026-08-16T22:05:26.240969Z","submitted_at":"2025-07-08T03:24:54Z","title":"Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T19:30:56.862029Z"},"links":{"citing_paper":"/paper/2507.08842"},"observation_digest":"sha256:2a8e1cc38200fa0ce46f4117a7e2602985c28d92f15dadde9a5d0ac060326672","observation_id":"97fa1310-5e6c-4d8d-b337-ed827078c790","resolution":{"observed_at":"2026-08-06T19:31:06.378667Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T19:31:06.358694Z","title":"Fedmut: Generalized federated learning via stochastic mu- tation","venue":null,"work_id":"ce310dcb-e491-461a-b2d9-4619f464a07a","year":2024},"citing_paper":{"arxiv_id":"2507.08842","last_updated":"2025-07-08T03:24:54Z","snapshot_observed_at":"2026-08-16T22:05:26.240969Z","submitted_at":"2025-07-08T03:24:54Z","title":"Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T19:30:56.947150Z"},"links":{"citing_paper":"/paper/2507.08842"},"observation_digest":"sha256:20a8b574b7bcee9ff96a9c275f7bc9bc341311cc6b507d334554c0ae09b1ffcf","observation_id":"31b198b1-e5d0-4340-b30a-5ea31c26637d","resolution":{"observed_at":"2026-08-06T19:31:06.363775Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T19:31:06.341601Z","title":"Cross-silo prototypical calibration for federated learning with non-iid data","venue":null,"work_id":"789e465a-f1c5-4965-a7f7-6c9b74ebcdc0","year":2023},"citing_paper":{"arxiv_id":"2507.08842","last_updated":"2025-07-08T03:24:54Z","snapshot_observed_at":"2026-08-16T22:05:26.240969Z","submitted_at":"2025-07-08T03:24:54Z","title":"Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T19:30:57.081091Z"},"links":{"citing_paper":"/paper/2507.08842"},"observation_digest":"sha256:23bc2372129cc6c4d1e09cb4963664456d3161361060637961e3611dba3e7355","observation_id":"63f4519d-9e90-4490-ab22-adcba59cf38c","resolution":{"observed_at":"2026-08-06T19:31:06.347288Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T19:31:06.319253Z","title":"Is aggregation the only choice? federated learning via layer-wise model recombination","venue":null,"work_id":"67f83770-9d55-46f3-83d7-266b21c60d65","year":2024},"citing_paper":{"arxiv_id":"2507.08842","last_updated":"2025-07-08T03:24:54Z","snapshot_observed_at":"2026-08-16T22:05:26.240969Z","submitted_at":"2025-07-08T03:24:54Z","title":"Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T19:30:57.139448Z"},"links":{"citing_paper":"/paper/2507.08842"},"observation_digest":"sha256:4ab4ca1cb5ce14ed064e9e3ab2f6890df1c47940afa4ae92d3272b63875a1f9a","observation_id":"714a1bcc-6b2d-4dc2-9981-0fdf49e1de33","resolution":{"observed_at":"2026-08-06T19:31:06.323928Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T19:31:06.296827Z","title":"Multisfl: Towards accurate split federated learning via multi-model aggregation and knowledge replay","venue":null,"work_id":"45e03f18-9bfb-411b-a622-18793c38ba9c","year":2025},"citing_paper":{"arxiv_id":"2507.08842","last_updated":"2025-07-08T03:24:54Z","snapshot_observed_at":"2026-08-16T22:05:26.240969Z","submitted_at":"2025-07-08T03:24:54Z","title":"Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T19:30:57.231257Z"},"links":{"citing_paper":"/paper/2507.08842"},"observation_digest":"sha256:997d5572b240fa88ae6f6aeb28d3e83a75ba415de1d1f7ed3d98b9e1ff3c25b6","observation_id":"991c0b40-654e-4059-b82c-f10f2731d39e","resolution":{"observed_at":"2026-08-06T19:31:06.304193Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T19:31:06.279546Z","title":"A swiss army knife for heterogeneous federated learning: Flexible coupling via trace norm","venue":null,"work_id":"6d7c45d4-e7e5-446c-a2ae-095533fdea60","year":2024},"citing_paper":{"arxiv_id":"2507.08842","last_updated":"2025-07-08T03:24:54Z","snapshot_observed_at":"2026-08-16T22:05:26.240969Z","submitted_at":"2025-07-08T03:24:54Z","title":"Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T19:30:57.365378Z"},"links":{"citing_paper":"/paper/2507.08842"},"observation_digest":"sha256:f4030d379918681a7413259abc9e52eaad57f121e0ea7b7cc5de820502949a73","observation_id":"ecdb52ae-3213-4df3-9f50-a050c4efbc57","resolution":{"observed_at":"2026-08-06T19:31:06.284152Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T19:31:06.263840Z","title":"Joint client-and-sample selection for federated learning via bi-level optimization","venue":null,"work_id":"ae261a30-56a7-43e8-b703-df83a1606bde","year":2024},"citing_paper":{"arxiv_id":"2507.08842","last_updated":"2025-07-08T03:24:54Z","snapshot_observed_at":"2026-08-16T22:05:26.240969Z","submitted_at":"2025-07-08T03:24:54Z","title":"Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T19:30:57.410486Z"},"links":{"citing_paper":"/paper/2507.08842"},"observation_digest":"sha256:62f86d21a0318ea3120ae193eb6ddf06cfd5e4d14f9fdf3ba46d6fb63957d2de","observation_id":"595e0a7e-1bd3-4cf2-b5de-b5269e2fe6d1","resolution":{"observed_at":"2026-08-06T19:31:06.269079Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T19:31:06.247605Z","title":"An improved reconstruction based multi-attribute contrastive learning for digital twin-enabled industrial system","venue":null,"work_id":"d16dc7d4-59f6-4fcb-926e-6cdad0541005","year":2024},"citing_paper":{"arxiv_id":"2507.08842","last_updated":"2025-07-08T03:24:54Z","snapshot_observed_at":"2026-08-16T22:05:26.240969Z","submitted_at":"2025-07-08T03:24:54Z","title":"Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T19:30:57.469308Z"},"links":{"citing_paper":"/paper/2507.08842"},"observation_digest":"sha256:db27b00e5d1afc487c14c3177ed1e7c6fdb4d653450dfb0ae7b9b16329c9a72c","observation_id":"2e4053f9-6e7c-42cf-add5-6107b85b3225","resolution":{"observed_at":"2026-08-06T19:31:06.251799Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T19:31:06.234012Z","title":"Fedfast: Going beyond average for faster training of federated recommender systems","venue":null,"work_id":"eb4bbf4d-3e84-42e9-90c0-a5820af803da","year":2020},"citing_paper":{"arxiv_id":"2507.08842","last_updated":"2025-07-08T03:24:54Z","snapshot_observed_at":"2026-08-16T22:05:26.240969Z","submitted_at":"2025-07-08T03:24:54Z","title":"Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T19:30:57.572527Z"},"links":{"citing_paper":"/paper/2507.08842"},"observation_digest":"sha256:4a9d1e6228c612290c625139cbf9bf08e0955aaa083e2444babe0fc28bf2f00b","observation_id":"243712c7-c4e8-4901-99c0-72b048dd1709","resolution":{"observed_at":"2026-08-06T19:31:06.238497Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T19:31:06.218360Z","title":"Fast-adapting and privacy-preserving federated recommender system","venue":null,"work_id":"e62137d5-8704-400c-8e1b-96aebb9c4c7f","year":2022},"citing_paper":{"arxiv_id":"2507.08842","last_updated":"2025-07-08T03:24:54Z","snapshot_observed_at":"2026-08-16T22:05:26.240969Z","submitted_at":"2025-07-08T03:24:54Z","title":"Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T19:30:57.641080Z"},"links":{"citing_paper":"/paper/2507.08842"},"observation_digest":"sha256:91709c09880f57f11ccf299c4533f203c82521f4ef9f5f02a345fd0a171aae7c","observation_id":"38bd0da5-8834-48a9-bc14-613e5e9d0898","resolution":{"observed_at":"2026-08-06T19:31:06.223938Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T19:31:06.201707Z","title":"Federated recommendation systems","venue":null,"work_id":"31f94f2b-463b-4479-a017-a69bd6fe7e96","year":2020},"citing_paper":{"arxiv_id":"2507.08842","last_updated":"2025-07-08T03:24:54Z","snapshot_observed_at":"2026-08-16T22:05:26.240969Z","submitted_at":"2025-07-08T03:24:54Z","title":"Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T19:30:57.733545Z"},"links":{"citing_paper":"/paper/2507.08842"},"observation_digest":"sha256:7aa043196fc4c623b193203e6b58761229e007037c76fd1b39055d7a21878804","observation_id":"50944b7f-4d47-4bb0-b0f5-0e43f58c8fcd","resolution":{"observed_at":"2026-08-06T19:31:06.206703Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T19:31:06.097664Z","title":"Poi recommendation with federated learning and privacy preserving in cross domain recommendation","venue":null,"work_id":"bb1fec2f-0adb-4299-9e87-b4b648cd219b","year":2021},"citing_paper":{"arxiv_id":"2507.08842","last_updated":"2025-07-08T03:24:54Z","snapshot_observed_at":"2026-08-16T22:05:26.240969Z","submitted_at":"2025-07-08T03:24:54Z","title":"Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T19:30:57.800002Z"},"links":{"citing_paper":"/paper/2507.08842"},"observation_digest":"sha256:66d57a9ffc70bc60b301a92b9f584fc3be6a7a9694f8844e847cfde6a331fe77","observation_id":"6bf95ca6-74a9-465a-81a9-18781d0bd0d0","resolution":{"observed_at":"2026-08-06T19:31:06.149380Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T19:31:05.969272Z","title":"Gitfl: Uncertainty-aware real-time asynchronous federated learning using version control","venue":null,"work_id":"1f837afa-2ca2-45c4-a851-4c97bc43e001","year":2023},"citing_paper":{"arxiv_id":"2507.08842","last_updated":"2025-07-08T03:24:54Z","snapshot_observed_at":"2026-08-16T22:05:26.240969Z","submitted_at":"2025-07-08T03:24:54Z","title":"Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T19:30:57.903563Z"},"links":{"citing_paper":"/paper/2507.08842"},"observation_digest":"sha256:8383e5a0678f6ba9c023499824e8a16da49a72b5b6a1610be3472bb600fcfca5","observation_id":"56ae2577-9aa8-4097-a3fb-9c159408ca45","resolution":{"observed_at":"2026-08-06T19:31:06.003546Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T19:31:05.733586Z","title":"Optimizing training efficiency and cost of hierarchical federated learning in heterogeneous mobile- edge cloud computing","venue":null,"work_id":"72fbf134-e74f-4900-974d-28053f238e12","year":2022},"citing_paper":{"arxiv_id":"2507.08842","last_updated":"2025-07-08T03:24:54Z","snapshot_observed_at":"2026-08-16T22:05:26.240969Z","submitted_at":"2025-07-08T03:24:54Z","title":"Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T19:30:57.995227Z"},"links":{"citing_paper":"/paper/2507.08842"},"observation_digest":"sha256:8d1c3eae5dbf7f167c7604dc7b1dbbbe278cd4a2d2cd03a9d2145ad8f0bbe20e","observation_id":"6db879f0-344c-4cde-ac2f-284c3551301f","resolution":{"observed_at":"2026-08-06T19:31:05.831394Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T19:31:05.454571Z","title":"Dafkd: Domain-aware federated knowledge distillation","venue":null,"work_id":"6d7025df-cc9d-4a5f-8d15-955e38b03a08","year":2023},"citing_paper":{"arxiv_id":"2507.08842","last_updated":"2025-07-08T03:24:54Z","snapshot_observed_at":"2026-08-16T22:05:26.240969Z","submitted_at":"2025-07-08T03:24:54Z","title":"Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T19:30:58.091842Z"},"links":{"citing_paper":"/paper/2507.08842"},"observation_digest":"sha256:5777f3fd0aff6b042136c0a54ee1845dd4b92394c15f461e58e71c0bec8990b5","observation_id":"0f211131-e4c7-471b-aabc-e8e4348d1e8f","resolution":{"observed_at":"2026-08-06T19:31:05.604140Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T19:31:05.190974Z","title":"Flexfl: Heterogeneous federated learning via apoz-guided flexible pruning in uncertain scenarios","venue":null,"work_id":"e81e6995-658b-48a3-b517-330d2720c29b","year":2024},"citing_paper":{"arxiv_id":"2507.08842","last_updated":"2025-07-08T03:24:54Z","snapshot_observed_at":"2026-08-16T22:05:26.240969Z","submitted_at":"2025-07-08T03:24:54Z","title":"Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T19:30:58.174500Z"},"links":{"citing_paper":"/paper/2507.08842"},"observation_digest":"sha256:d7ce7b9d5840156f1964d7aed8e8af573bc91ceb2dc98a26faba8008926a0133","observation_id":"d43ae0fa-79e5-49c0-b745-9a5fa3359fa9","resolution":{"observed_at":"2026-08-06T19:31:05.275744Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.04868","last_updated":"2024-12-06T09:02:09Z","snapshot_observed_at":"2026-08-16T02:09:34.320078Z","submitted_at":"2024-12-06T09:02:09Z","title":"NebulaFL: Effective Asynchronous Federated Learning for JointCloud Computing","version":1},"cited_work":{"arxiv_id":"2412.04868","doi":null,"metadata_source":"pith","pith_arxiv_id":"2412.04868","snapshot_observed_at":"2026-08-06T19:31:00.674277Z","title":"NebulaFL: Effective Asynchronous Federated Learning for JointCloud Computing","venue":"cs.DC","work_id":"cfe14328-c746-4e29-b22c-b4aae519c493","year":2024},"citing_paper":{"arxiv_id":"2507.08842","last_updated":"2025-07-08T03:24:54Z","snapshot_observed_at":"2026-08-16T22:05:26.240969Z","submitted_at":"2025-07-08T03:24:54Z","title":"Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T19:30:58.315170Z"},"links":{"cited_paper":"/paper/2412.04868","citing_paper":"/paper/2507.08842"},"observation_digest":"sha256:7cabc2065cf4244fbd2f22a9fb58b163f1b549132f4c2df6bccff42d8878edfb","observation_id":"76d8be52-6d2e-4dbb-8a19-a808bd5f2eeb","resolution":{"observed_at":"2026-08-06T19:31:00.753201Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T19:31:05.059430Z","title":"Secure federated matrix factor- ization","venue":null,"work_id":"ab4411ff-cb37-4dc1-a5c1-db0345bb486f","year":2020},"citing_paper":{"arxiv_id":"2507.08842","last_updated":"2025-07-08T03:24:54Z","snapshot_observed_at":"2026-08-16T22:05:26.240969Z","submitted_at":"2025-07-08T03:24:54Z","title":"Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T19:30:58.433043Z"},"links":{"citing_paper":"/paper/2507.08842"},"observation_digest":"sha256:041819488970c6d3563ee2370a2198526c92f48b21ccbeb74b6dd0a7a5c60d7b","observation_id":"1c9987a6-55ea-40d5-b7e1-2b8d33b34443","resolution":{"observed_at":"2026-08-06T19:31:05.099362Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T19:31:04.807947Z","title":"JointRec: A deep-learning-based joint cloud video recommendation framework for mobile iot","venue":null,"work_id":"71b20fb8-bbec-4cd5-9e15-ff627067b27b","year":2019},"citing_paper":{"arxiv_id":"2507.08842","last_updated":"2025-07-08T03:24:54Z","snapshot_observed_at":"2026-08-16T22:05:26.240969Z","submitted_at":"2025-07-08T03:24:54Z","title":"Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T19:30:58.542656Z"},"links":{"citing_paper":"/paper/2507.08842"},"observation_digest":"sha256:87b02084b85939716de9587267ca87bf782d33b20c88d07297e1204fd524af7f","observation_id":"151830f6-383f-443d-821d-23fa78ed6138","resolution":{"observed_at":"2026-08-06T19:31:04.900373Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T19:31:04.589749Z","title":"Le, and Kok-Seng Wong","venue":null,"work_id":"6dd00455-e140-4aaa-b710-977a565169c6","year":2024},"citing_paper":{"arxiv_id":"2507.08842","last_updated":"2025-07-08T03:24:54Z","snapshot_observed_at":"2026-08-16T22:05:26.240969Z","submitted_at":"2025-07-08T03:24:54Z","title":"Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T19:30:58.798157Z"},"links":{"citing_paper":"/paper/2507.08842"},"observation_digest":"sha256:993c0e90e0451aedc4e96fd8abedc0c0293bca59e775aab125bada1aad71ebdd","observation_id":"706e369a-52cf-4ce8-b67b-c8abd9c3e600","resolution":{"observed_at":"2026-08-06T19:31:04.705367Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T19:31:04.443523Z","title":"A payload optimization method for federated recommender systems","venue":null,"work_id":"5b7f3223-0af6-4f12-b57b-e0ff17779666","year":2021},"citing_paper":{"arxiv_id":"2507.08842","last_updated":"2025-07-08T03:24:54Z","snapshot_observed_at":"2026-08-16T22:05:26.240969Z","submitted_at":"2025-07-08T03:24:54Z","title":"Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T19:30:59.072185Z"},"links":{"citing_paper":"/paper/2507.08842"},"observation_digest":"sha256:f1960ad8be9c067095e1b8c18a91acb300265b2bd3d0d9e2af004a6849b6c97f","observation_id":"8075d655-6c44-4ec1-b379-8b1ce3f087f5","resolution":{"observed_at":"2026-08-06T19:31:04.477707Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T19:31:04.203042Z","title":"An efficient k-means clustering algorithm: Anal- ysis and implementation","venue":null,"work_id":"552e22e4-0a5c-4789-b05d-6623e2859c87","year":2002},"citing_paper":{"arxiv_id":"2507.08842","last_updated":"2025-07-08T03:24:54Z","snapshot_observed_at":"2026-08-16T22:05:26.240969Z","submitted_at":"2025-07-08T03:24:54Z","title":"Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T19:30:59.268021Z"},"links":{"citing_paper":"/paper/2507.08842"},"observation_digest":"sha256:b8f91987550671917fe45660cbf6026110d966396bc9488a418678406354d925","observation_id":"c4910d36-d5ac-4b24-99b5-1d15dca423e0","resolution":{"observed_at":"2026-08-06T19:31:04.317535Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T19:31:03.850153Z","title":"Fedcross: Towards accurate federated learning via multi-model cross-aggregation","venue":null,"work_id":"8742ab96-5d72-416d-9200-ef3fca7d48f6","year":2024},"citing_paper":{"arxiv_id":"2507.08842","last_updated":"2025-07-08T03:24:54Z","snapshot_observed_at":"2026-08-16T22:05:26.240969Z","submitted_at":"2025-07-08T03:24:54Z","title":"Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T19:30:59.423846Z"},"links":{"citing_paper":"/paper/2507.08842"},"observation_digest":"sha256:e1eb9f19d425ff2c8ff5c280e2204cad1476b08b3a6aba4b5ee0e7728a716e59","observation_id":"f5a2e09b-c275-432b-83b8-1625d85c5691","resolution":{"observed_at":"2026-08-06T19:31:04.026639Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T19:31:03.532989Z","title":"Cabafl: Asynchronous federated learning via hierarchi- cal cache and feature balance","venue":null,"work_id":"a8b71b41-f79d-45c1-9856-369b695f1b9a","year":2024},"citing_paper":{"arxiv_id":"2507.08842","last_updated":"2025-07-08T03:24:54Z","snapshot_observed_at":"2026-08-16T22:05:26.240969Z","submitted_at":"2025-07-08T03:24:54Z","title":"Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T19:30:59.520870Z"},"links":{"citing_paper":"/paper/2507.08842"},"observation_digest":"sha256:f5b5ea893830afedba50e0dd60a5f15b6b974a68ccafffb1c283632ba27c7d7f","observation_id":"fda384c0-a435-4393-96f7-ef65176d9c7a","resolution":{"observed_at":"2026-08-06T19:31:03.670220Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1901.09888","last_updated":"2019-01-29T14:18:38Z","snapshot_observed_at":"2026-08-16T22:20:33.788255Z","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":"2026-08-06T19:30:59.641254Z","title":"Federated collaborative filtering for privacy-preserving personalized recommendation system","venue":null,"work_id":null,"year":1901},"citing_paper":{"arxiv_id":"2507.08842","last_updated":"2025-07-08T03:24:54Z","snapshot_observed_at":"2026-08-16T22:05:26.240969Z","submitted_at":"2025-07-08T03:24:54Z","title":"Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T19:30:59.641254Z"},"links":{"cited_paper":"/paper/1901.09888","citing_paper":"/paper/2507.08842"},"observation_digest":"sha256:7d1f9f7a0f0d9b94bb81590c3911d6885cf91c9a928cdc24985a2d71f8be0bba","observation_id":"9b05cab5-9080-4f80-9d04-bbc5017ee3fc","resolution":{"observed_at":"2026-08-06T19:30:59.641254Z","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":"2026-08-06T19:31:03.099577Z","title":"Fedrec: Federated recom- mendation with explicit feedback","venue":null,"work_id":"253339b9-44c8-4255-bba2-59f2c803c1f0","year":2020},"citing_paper":{"arxiv_id":"2507.08842","last_updated":"2025-07-08T03:24:54Z","snapshot_observed_at":"2026-08-16T22:05:26.240969Z","submitted_at":"2025-07-08T03:24:54Z","title":"Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T19:30:59.786658Z"},"links":{"citing_paper":"/paper/2507.08842"},"observation_digest":"sha256:65d3b203cdad885db732b4b0e949e03edb9f48f37f3bddba6248ea6829f61311","observation_id":"a160c745-2d9d-4df7-aeeb-8a976d6168be","resolution":{"observed_at":"2026-08-06T19:31:03.348597Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T19:31:02.775676Z","title":"Meta matrix factorization for federated rating predictions","venue":null,"work_id":"dd58fc37-38a4-45ed-aeb0-077aff5956f9","year":2020},"citing_paper":{"arxiv_id":"2507.08842","last_updated":"2025-07-08T03:24:54Z","snapshot_observed_at":"2026-08-16T22:05:26.240969Z","submitted_at":"2025-07-08T03:24:54Z","title":"Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T19:30:59.848082Z"},"links":{"citing_paper":"/paper/2507.08842"},"observation_digest":"sha256:3959a1fe4660e1da2ce00f5b402f5a6337a6ea38e9ee3b7a6c80ed0072f28bf6","observation_id":"7bb41144-6ca0-4e4e-b0c0-71caa3449ad1","resolution":{"observed_at":"2026-08-06T19:31:02.962942Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T19:31:02.460655Z","title":"Federated neural collaborative filter- ing","venue":null,"work_id":"52086d00-8ee8-4451-95eb-54438b9c4d9b","year":2022},"citing_paper":{"arxiv_id":"2507.08842","last_updated":"2025-07-08T03:24:54Z","snapshot_observed_at":"2026-08-16T22:05:26.240969Z","submitted_at":"2025-07-08T03:24:54Z","title":"Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T19:30:59.914745Z"},"links":{"citing_paper":"/paper/2507.08842"},"observation_digest":"sha256:f19d8ef723c3fe17ac778dc9334aae4350c75e626264ec6ae549cefa02e5ac64","observation_id":"f32830f1-b226-427f-801a-c5f0cff7e6f3","resolution":{"observed_at":"2026-08-06T19:31:02.618202Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1708.05031","last_updated":"2017-08-26T01:37:09Z","snapshot_observed_at":"2026-08-16T01:15:21.883207Z","submitted_at":"2017-08-16T18:30:09Z","title":"Neural Collaborative Filtering","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1708.05031","snapshot_observed_at":"2026-08-06T19:31:00.004645Z","title":"Neural collaborative filtering","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.08842","last_updated":"2025-07-08T03:24:54Z","snapshot_observed_at":"2026-08-16T22:05:26.240969Z","submitted_at":"2025-07-08T03:24:54Z","title":"Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T19:31:00.004645Z"},"links":{"cited_paper":"/paper/1708.05031","citing_paper":"/paper/2507.08842"},"observation_digest":"sha256:eb623bd62b4742a737d9e56fdfa6b3b69e431f79a331c1c936842c401a7bca0f","observation_id":"343c2837-6c7e-4207-bee8-6163ee1ea860","resolution":{"observed_at":"2026-08-06T19:31:00.004645Z","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":"2026-08-06T19:31:02.041289Z","title":"A federated graph neural network framework for privacy-preserving per- sonalization","venue":null,"work_id":"f0121cb7-54a6-463d-b718-19d210c507ce","year":2022},"citing_paper":{"arxiv_id":"2507.08842","last_updated":"2025-07-08T03:24:54Z","snapshot_observed_at":"2026-08-16T22:05:26.240969Z","submitted_at":"2025-07-08T03:24:54Z","title":"Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T19:31:00.075781Z"},"links":{"citing_paper":"/paper/2507.08842"},"observation_digest":"sha256:239a2e2e9701ba94e5ec1d8f28b2cc083ad8e11b72131dc20f8cffd0d3db4c1a","observation_id":"2348f89f-d835-4798-bafc-c1590932ff1e","resolution":{"observed_at":"2026-08-06T19:31:02.273406Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T19:31:01.772269Z","title":"Maxwell Harper and Joseph A","venue":null,"work_id":"c45a9f5b-0e45-416a-b392-a44ea8cb5a05","year":2016},"citing_paper":{"arxiv_id":"2507.08842","last_updated":"2025-07-08T03:24:54Z","snapshot_observed_at":"2026-08-16T22:05:26.240969Z","submitted_at":"2025-07-08T03:24:54Z","title":"Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T19:31:00.154457Z"},"links":{"citing_paper":"/paper/2507.08842"},"observation_digest":"sha256:cc405507c7c27594865671735117712e6efb713d3b1ece19e965581b6b77825c","observation_id":"873c4ec3-4db8-40b4-8e05-ed866391fdfa","resolution":{"observed_at":"2026-08-06T19:31:01.911895Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T19:31:01.407290Z","title":"Second workshop on in- formation heterogeneity and fusion in recommender systems (hetrec2011)","venue":null,"work_id":"e7f0cd78-7d87-48ab-ad0b-627a6de70a1f","year":2011},"citing_paper":{"arxiv_id":"2507.08842","last_updated":"2025-07-08T03:24:54Z","snapshot_observed_at":"2026-08-16T22:05:26.240969Z","submitted_at":"2025-07-08T03:24:54Z","title":"Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T19:31:00.242432Z"},"links":{"citing_paper":"/paper/2507.08842"},"observation_digest":"sha256:2752447c181d48b0fa0d582de39b247fadc164e65cd00b558c9496058bb09895","observation_id":"8f8b249d-1823-4c2a-a16c-fe1828098722","resolution":{"observed_at":"2026-08-06T19:31:01.510683Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T19:31:01.277102Z","title":"Adaptivefl: Adaptive heterogeneous federated learning for resource-constrained aiot systems","venue":null,"work_id":"30fbc4fb-c7ba-45f3-a1c0-0cb8f5b844ed","year":2024},"citing_paper":{"arxiv_id":"2507.08842","last_updated":"2025-07-08T03:24:54Z","snapshot_observed_at":"2026-08-16T22:05:26.240969Z","submitted_at":"2025-07-08T03:24:54Z","title":"Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T19:31:00.285201Z"},"links":{"citing_paper":"/paper/2507.08842"},"observation_digest":"sha256:06ebe821e67f95c15b81144a9ec66f35554f87a32714efc30f8477892273fa3b","observation_id":"1b101095-aae7-42ce-a370-820f167cb339","resolution":{"observed_at":"2026-08-06T19:31:01.310587Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T19:31:00.351924Z","title":"Federated learning: Challenges, methods, and future directions","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.08842","last_updated":"2025-07-08T03:24:54Z","snapshot_observed_at":"2026-08-16T22:05:26.240969Z","submitted_at":"2025-07-08T03:24:54Z","title":"Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T19:31:00.351924Z"},"links":{"citing_paper":"/paper/2507.08842"},"observation_digest":"sha256:d87ca86113703c114169abf5139084edc66529ebb993fc3e485c55d976174ee7","observation_id":"a576a394-df5b-44f9-a20c-4414cb1f89d7","resolution":{"observed_at":"2026-08-06T19:31:00.351924Z","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":"2026-08-06T19:31:01.036335Z","title":"Lightfr: Lightweight federated recommendation with privacy-preserving matrix factor- ization","venue":null,"work_id":"24e89458-0bc5-4a9e-81ef-944377af3ba8","year":2023},"citing_paper":{"arxiv_id":"2507.08842","last_updated":"2025-07-08T03:24:54Z","snapshot_observed_at":"2026-08-16T22:05:26.240969Z","submitted_at":"2025-07-08T03:24:54Z","title":"Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T19:31:00.428562Z"},"links":{"citing_paper":"/paper/2507.08842"},"observation_digest":"sha256:f804c5b05515ae68b823b724a62c403f7357c7185aab3424b5bcb58376994b36","observation_id":"b5228aa6-df99-4737-8455-f857cd72ddcf","resolution":{"observed_at":"2026-08-06T19:31:01.161708Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T19:31:00.848404Z","title":"Comm” denotes communication and “Comp","venue":null,"work_id":"e0ce9133-7cfe-4b0a-81d7-7874ce41b8c8","year":2020},"citing_paper":{"arxiv_id":"2507.08842","last_updated":"2025-07-08T03:24:54Z","snapshot_observed_at":"2026-08-16T22:05:26.240969Z","submitted_at":"2025-07-08T03:24:54Z","title":"Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T19:31:00.519199Z"},"links":{"citing_paper":"/paper/2507.08842"},"observation_digest":"sha256:5878a8c94b765781c30715358eb79eaf9da83c1be023223b3ca3276188b6e49b","observation_id":"edb99a40-09f4-4973-afa5-ada6ed016a13","resolution":{"observed_at":"2026-08-06T19:31:00.940002Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.08842","last_updated":"2025-07-08T03:24:54Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T22:05:26.240969Z","submitted_at":"2025-07-08T03:24:54Z","title":"Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing"},"reference_resolution":{"displayed":45,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":3,"verified_exact":1,"verified_fuzzy":41},"total_outbound_references":45},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2507.08842."}