{"as_of":"2026-08-16T21:23:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:dfaba5d9992054ef3c95d4ae79c40d1172327354d3c91fa91f98f09c68f5eecf","coverage":[{"denominator":68,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":68,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T18:19:12.334158Z","state":"measured"},{"denominator":68,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":68,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+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/2411.11713/citation-record","integrity":"/paper/2411.11713/integrity","json":"/paper/2411.11713/citation-record.json","paper":"/paper/2411.11713"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/2021.econlp-1.7","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T18:19:12.367913Z","title":null,"venue":null,"work_id":"aea4af8c-795e-42f2-bd5a-401bddf76804","year":2021},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:11.979797Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:8c494b6bcae11b510998293c094581934da49c6ae81f10470ece31259c73915c","observation_id":"ceb2f964-9442-4eef-937a-9c73f044d50c","resolution":{"observed_at":"2026-08-12T18:19:12.375247Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T18:19:13.613354Z","title":null,"venue":null,"work_id":"b7e40857-3d8c-4968-ba3b-70356c63d9eb","year":2010},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:11.986700Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:3eef281e87b8f0ffa1d143683a62a0ec2d288a5ce5509bf2be1d40495ee321ec","observation_id":"74bc2dbb-68ea-443a-8763-742f50e0a78b","resolution":{"observed_at":"2026-08-12T18:19:13.619642Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T18:19:11.992335Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:11.992335Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:ebff7746814c58c2194937a4c892c534e6b84ae55f049b92bc32beb1ec1217bc","observation_id":"6d3e0fc9-e2a8-493c-8143-a6f14f7960f6","resolution":{"observed_at":"2026-08-12T18:19:11.992335Z","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":"2026-08-12T18:19:13.586688Z","title":null,"venue":null,"work_id":"8fd8658c-27f7-4ca0-a772-c5f976bdbf10","year":2023},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:11.998068Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:8892e7caded6e960ddb24000970fc368586060e97f87bc47d66a71eb748899b8","observation_id":"924efcd8-27fd-4ece-bdd6-b7991162394a","resolution":{"observed_at":"2026-08-12T18:19:13.592075Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1810.03505","last_updated":"2018-10-02T21:20:09Z","snapshot_observed_at":"2026-08-15T08:58:58.432989Z","submitted_at":"2018-10-02T21:20:09Z","title":"CINIC-10 is not ImageNet or CIFAR-10","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.03505","snapshot_observed_at":"2026-08-12T18:19:12.003856Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.003856Z"},"links":{"cited_paper":"/paper/1810.03505","citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:5f6a8b9add598375cda113d805d58e31e0fcc2a8fbac62626fc82d1f5a09cf37","observation_id":"44718058-46bb-4e50-b534-3640b87657e7","resolution":{"observed_at":"2026-08-12T18:19:12.003856Z","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":"2026-08-12T18:19:13.569459Z","title":null,"venue":null,"work_id":"8bdcf179-c68e-4681-b119-bb828e5d8ea2","year":2021},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.009996Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:f6c425e6d58547b3002b33c0ee302be924405b6bb96bf3de324458df166cac26","observation_id":"41797e0e-e31a-4559-94c7-6e11763d5dfd","resolution":{"observed_at":"2026-08-12T18:19:13.575791Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T18:19:13.552468Z","title":null,"venue":null,"work_id":"d3c6e63b-6d6e-44c7-87c6-0c9b46f046aa","year":2021},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.016440Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:24c8827db3dc07dc1f2e84cc5519b7cee81ebffc068a5178154c48c0df8f33b8","observation_id":"637b1521-c7ed-4651-9dda-8c47d14723fd","resolution":{"observed_at":"2026-08-12T18:19:13.557922Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T18:19:13.535892Z","title":null,"venue":null,"work_id":"862b5734-bcd1-4f8a-92fe-6d70e48df00c","year":2022},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.021486Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:259e6eca1a86122dab0871185dcb1b1e32b2a0110b07b4d484251ebf5c2bbdd4","observation_id":"d37a2696-c79e-4f60-8045-e33eb77ca745","resolution":{"observed_at":"2026-08-12T18:19:13.541473Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T18:19:13.518542Z","title":null,"venue":null,"work_id":"51fe00ef-a636-4e61-bb02-12e3cbd54dbc","year":2021},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.026655Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:981fccefd527f12c9c0c30014cc19b111daf59c903345653ed9200b5654fe920","observation_id":"7bf7af61-de23-432a-a133-c01f7c426bf4","resolution":{"observed_at":"2026-08-12T18:19:13.524306Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T18:19:13.501143Z","title":null,"venue":null,"work_id":"b000e0de-257a-4ecf-83c4-df2c1f637e22","year":2004},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.031569Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:6021028d81f4adffffc7ae069266e762591afaf8a00c2edb49cfd25772570ffe","observation_id":"8ad5daa5-0c9a-451e-94c9-1b410e1340f3","resolution":{"observed_at":"2026-08-12T18:19:13.506869Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T18:19:13.484542Z","title":null,"venue":null,"work_id":"6366a918-b479-40c1-9429-e3217eeb9bd1","year":null},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.036716Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:23fedec30a55b31acf2fd785bfc3b237258d0e6b39d66b8a72863718312d0d26","observation_id":"592116cd-266d-4511-853d-68edd6f56f25","resolution":{"observed_at":"2026-08-12T18:19:13.490107Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T18:19:13.452006Z","title":null,"venue":null,"work_id":"fa6b1a83-4d6b-4dbd-bc0a-ceb864efbe89","year":2023},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.047554Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:675bb849b67c2cdf5764a39480f2e260d28b5c3bbf8fb04ae542f4830c18995d","observation_id":"f7319cff-a6bd-4b4a-b74d-91bd9a663bf8","resolution":{"observed_at":"2026-08-12T18:19:13.457120Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T18:19:12.052874Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.052874Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:5fbcecd870e1be46f8965e5d6edaa1c435049c3a0c0554664ec556b95b102a4f","observation_id":"c51fdc0f-3462-4da1-8cd1-4513e2c34afb","resolution":{"observed_at":"2026-08-12T18:19:12.052874Z","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":"2026-08-12T18:19:13.425932Z","title":null,"venue":null,"work_id":"b8fa65e4-807b-4e54-a675-39b6c49e0f71","year":1976},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.058047Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:1b52537e7dc33b7202e9c678ff10138b9eba6bfa5cc8e72f1411112dfc04b606","observation_id":"1f0cdce1-5d59-47cc-8b2a-dd837988c906","resolution":{"observed_at":"2026-08-12T18:19:13.431187Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1909.06335","last_updated":"2019-09-13T17:26:20Z","snapshot_observed_at":"2026-08-16T05:00:17.345539Z","submitted_at":"2019-09-13T17:26:20Z","title":"Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1909.06335","snapshot_observed_at":"2026-08-12T18:19:12.063097Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.063097Z"},"links":{"cited_paper":"/paper/1909.06335","citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:e4f2be9363a9e51c6e64fddc237a8dd7659e1099eda543abc0a39d8db59f9bc9","observation_id":"65ddc8cc-f240-455d-99a0-77876ff33de0","resolution":{"observed_at":"2026-08-12T18:19:12.063097Z","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":"2026-08-12T18:19:13.408582Z","title":null,"venue":null,"work_id":"74d833b3-acf3-4c4a-82a9-1f903f2dc873","year":2022},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.068481Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:8a9f626a18b2dba3d11b05944424454c77a477e02dcefa2d6dc934902ed10f76","observation_id":"36b6d219-1243-456e-80e9-2b1a23a0751c","resolution":{"observed_at":"2026-08-12T18:19:13.415126Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2001.08361","last_updated":"2020-01-23T03:59:20Z","snapshot_observed_at":"2026-08-13T17:41:53.092611Z","submitted_at":"2020-01-23T03:59:20Z","title":"Scaling Laws for Neural Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2001.08361","snapshot_observed_at":"2026-08-12T18:19:12.073522Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.073522Z"},"links":{"cited_paper":"/paper/2001.08361","citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:546b9173ff1030790e7cff80be79bf3ca0cdd2af1bb4d853a309c6e83045c9fd","observation_id":"650041f9-7eb9-4215-8547-4c447ba351fb","resolution":{"observed_at":"2026-08-12T18:19:12.073522Z","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":"2026-08-12T18:19:12.078631Z","title":null,"venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.078631Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:da08b5ff48c1366ea6d8f28daa447f89661b52a503a161503bf1e4ca0fbaa75e","observation_id":"5a1a0745-b5e1-4d37-bd3a-46ca18a9eb53","resolution":{"observed_at":"2026-08-12T18:19:12.078631Z","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":"2026-08-12T18:19:12.083656Z","title":null,"venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.083656Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:05f81a00ff3f5990aadfc0f28cc85f8b7abf462934f271b50472b61d8a98af05","observation_id":"5aa562e3-3bec-45b3-a8a8-5a8e780743b8","resolution":{"observed_at":"2026-08-12T18:19:12.083656Z","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":"2026-08-12T18:19:13.372732Z","title":null,"venue":null,"work_id":"7259e242-6b4d-4c7b-8524-58410951bbc3","year":null},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.088559Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:9fc3425bbd101b248bc5df4c88e8be763b002c827aa088aaa24f6da6d1490fde","observation_id":"b008085c-67cc-4537-b72b-027e59fb8d8d","resolution":{"observed_at":"2026-08-12T18:19:13.378169Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T18:19:13.341344Z","title":null,"venue":null,"work_id":"ee8cbd72-de92-4384-b49a-1b93c731dbf6","year":2021},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.099139Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:ba6cc9932812224dc73a6227f2d6bd6e03b9389b6b0465ebf5a9c547aae6d7dc","observation_id":"0e21e556-e35b-4891-bbe9-61d217eeca08","resolution":{"observed_at":"2026-08-12T18:19:13.346538Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T18:19:13.356683Z","title":"In 15th{USENIX} Symposium on Operating Systems Design and Implementation ({OSDI} 21)","venue":null,"work_id":"6a9f02ea-d9ef-496d-a692-e26f5488efe2","year":null},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.093926Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:ce8817c972b4e30c1deca00271d8d97701b18be976c4ecedd541260ddb594a26","observation_id":"67f3c59b-9f66-45bf-8bf1-b57795672024","resolution":{"observed_at":"2026-08-12T18:19:13.362192Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T18:19:13.315141Z","title":null,"venue":null,"work_id":"d58eb2f4-7f27-4b9c-9042-5c798f5c09dc","year":2023},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.108448Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:3c3bb8eb09e0669ba102db9fd9703f2059957d4b7d03e6bd108a9bc8217cae0e","observation_id":"83c28de6-9b0d-4e91-84f6-8c6741883ea0","resolution":{"observed_at":"2026-08-12T18:19:13.320898Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T18:19:12.103760Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.103760Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:4b3c78fc1f25fe1ed17314340624830a4d8486347c3c53c0ffe6b112990380a6","observation_id":"8081f37d-0131-4c0a-addf-a134a13261c7","resolution":{"observed_at":"2026-08-12T18:19:12.103760Z","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":"2026-08-12T18:19:13.288733Z","title":null,"venue":null,"work_id":"b53377eb-3eff-4466-83cf-00d2e2d4b0ea","year":2024},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.117998Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:38e228065402dfb2be6ccdb3503973aab9a174c44189b3b99e6c457d4c67676f","observation_id":"fed3d0ad-4167-4942-b908-79a070e12f99","resolution":{"observed_at":"2026-08-12T18:19:13.294522Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T18:19:12.113114Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.113114Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:e2c32d4e61d2da769c74aa287fd9d6acaf44ace87e3f95025a764f56da00276e","observation_id":"5be21023-237f-4438-b930-d0a0a896d25f","resolution":{"observed_at":"2026-08-12T18:19:12.113114Z","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":"2026-08-12T18:19:12.128543Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.128543Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:3eb7e31bdf9cf610b14e4f7dfc2fe0c867a8cc9b9cd382f88944c4a071bf6127","observation_id":"0d00a35e-89d5-4849-9918-4634a01ea4ca","resolution":{"observed_at":"2026-08-12T18:19:12.128543Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.12560","last_updated":"2019-11-28T07:13:48Z","snapshot_observed_at":"2026-07-06T08:40:33.992386Z","submitted_at":"2019-11-28T07:13:48Z","title":"Free-riders in Federated Learning: Attacks and Defenses","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.12560","snapshot_observed_at":"2026-08-12T18:19:12.123362Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.123362Z"},"links":{"cited_paper":"/paper/1911.12560","citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:86f77d5e61288b3fe0e392bca464bca4e10a8a3287f9175585e4395a12eb2e4d","observation_id":"7ad24d68-06b2-4593-b101-b1c99a872788","resolution":{"observed_at":"2026-08-12T18:19:12.123362Z","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":"2026-08-12T18:19:13.248449Z","title":null,"venue":null,"work_id":"4f027b5f-b6ca-4e15-bb03-50304c28c262","year":2020},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.138545Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:7b654133410fca03957b2666f429c8f38b8e764975c714efa383bc7dfa84ba7e","observation_id":"6b9fc221-5a57-4196-8abf-cd7af7fadf63","resolution":{"observed_at":"2026-08-12T18:19:13.253324Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T18:19:13.263497Z","title":null,"venue":null,"work_id":"16c1a0ee-5e5f-4155-96fb-a3a6e6788909","year":2021},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.133543Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:de104c57d0218b0afebfd8f63bfc06f4cfa6d4c93ac13512a583e1d6b1535c21","observation_id":"8804d09e-ed1c-409d-82a4-6e9fa0a90f50","resolution":{"observed_at":"2026-08-12T18:19:13.268890Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T18:19:13.214559Z","title":null,"venue":null,"work_id":"c0194d06-cfc6-4185-8813-b7614a402fa4","year":2024},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.148589Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:ef83213241936b6c861388e0a31abf898bbef501d7932a8db029c7af9474fcad","observation_id":"1c4e5f37-0c0f-4324-9f03-5f77fb63933e","resolution":{"observed_at":"2026-08-12T18:19:13.219842Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T18:19:13.230800Z","title":null,"venue":null,"work_id":"277e51ad-903d-4dc3-8009-112c44f2f19a","year":2014},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.143650Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:01de6d2b1d7e37e023fd4776c607d88c8eb9b0d64d1d7e2cd6078b2b1564d087","observation_id":"0d0d294d-a37b-48a5-87e4-71966d6dc814","resolution":{"observed_at":"2026-08-12T18:19:13.236851Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T18:19:13.181464Z","title":null,"venue":null,"work_id":"94513ff6-8ce3-4ccb-8423-5b39fe4207a7","year":2021},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.158318Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:f8aa83d8c08b06d16338b15b890c766c42426600af519dc8caf645ecad1d0552","observation_id":"1280797e-7117-499a-b398-78de7ee37d00","resolution":{"observed_at":"2026-08-12T18:19:13.186884Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T18:19:13.198209Z","title":null,"venue":null,"work_id":"25541fd8-6733-4971-a43c-a0ae167c703a","year":1987},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.153382Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:446579cde3b6291906efdb92aac400e48b9b732dabf8df1e106fae14269b259f","observation_id":"e62deff2-92b3-43ee-8a85-ad9ce7bcdef2","resolution":{"observed_at":"2026-08-12T18:19:13.203172Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T18:19:13.147228Z","title":null,"venue":null,"work_id":"1eb0970c-9c9a-4dbe-983f-cc5ef60eeb92","year":2022},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.169839Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:c5fadf8c96f75c719e01f1589a3ddc13c6ac95e455f85f70c21d8a2e27e333d0","observation_id":"89b93695-97d5-4b40-a840-065cb7cb0cc4","resolution":{"observed_at":"2026-08-12T18:19:13.152371Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T18:19:13.163798Z","title":null,"venue":null,"work_id":"175db0aa-a203-4a80-88d6-8b2273311b3f","year":2019},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.163727Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:33ee3c07f71d9bd6b093032f265fac98bbb9f7e006d7dca42f2abf75e79d3776","observation_id":"4cca621d-29af-4db4-a717-d51f5ad15fd6","resolution":{"observed_at":"2026-08-12T18:19:13.169638Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T18:19:13.010780Z","title":null,"venue":null,"work_id":"f3f20600-8a30-46d3-83f4-579140c78350","year":2023},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.181521Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:80887a3a69328059619b65a6b664d6f5d787011306743f9f88d30d983dc9b113","observation_id":"7edd5cfe-bca2-4178-b6fc-a00213b14060","resolution":{"observed_at":"2026-08-12T18:19:13.016489Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T18:19:13.027485Z","title":null,"venue":null,"work_id":"4b09b427-8762-4a98-ad98-03846edec59a","year":2020},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.175198Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:3bb5d6bcba0955227dc1eba80a57e2c7885be39abca836cd4f8962e6257f7b59","observation_id":"24f2d667-c765-472b-b46c-1061aa6e0217","resolution":{"observed_at":"2026-08-12T18:19:13.136759Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T18:19:12.995068Z","title":null,"venue":null,"work_id":"59550f44-f735-40f1-be10-84ba3b28dce2","year":2022},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.192814Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:e44f867329d606fc612db802e3341e17bde244e85373e03fc840750e4048eea7","observation_id":"e3399371-ed3b-4cda-b795-c459085ed77a","resolution":{"observed_at":"2026-08-12T18:19:13.000279Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2007.15197","last_updated":"2020-10-14T19:08:30Z","snapshot_observed_at":"2026-08-13T21:59:13.054757Z","submitted_at":"2020-07-30T02:58:00Z","title":"Communication-Efficient Federated Learning via Optimal Client Sampling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2007.15197","snapshot_observed_at":"2026-08-12T18:19:12.186848Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.186848Z"},"links":{"cited_paper":"/paper/2007.15197","citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:271883c991d55b3e29d894e24d15c81cd4b2b5d57fca1ff94ed18879e4fcb976","observation_id":"9242daca-4d40-4b0c-9dfd-3e581f1d6ad2","resolution":{"observed_at":"2026-08-12T18:19:12.186848Z","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":"2026-08-12T18:19:12.203428Z","title":null,"venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.203428Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:048458fe8a03ff76b841d795ee5467341572e9cb50a8f7480f495e47b8e0bf84","observation_id":"00853c30-641b-4f92-bf1d-eed55d2dda71","resolution":{"observed_at":"2026-08-12T18:19:12.203428Z","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":"2026-08-12T18:19:12.978096Z","title":null,"venue":null,"work_id":"410eccca-96e0-46d2-b008-91ef00c0dfae","year":2013},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.197908Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:116cc10561e60a138e1d7cbcc8890acdbb83129f4d79461db7d48427e5b70f27","observation_id":"ce2b88f4-f0f6-4ea5-924f-db0a2a4860d4","resolution":{"observed_at":"2026-08-12T18:19:12.983854Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T18:19:12.934343Z","title":null,"venue":null,"work_id":"dc913601-aa98-4d6c-bde4-dbe83664110c","year":2015},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.213907Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:1f9025fc3cc264de6434ca13521cf1bd4e501700f75ac475b3328096e10f4f13","observation_id":"536cabe5-bc76-4052-8bdb-e4d2f72a960c","resolution":{"observed_at":"2026-08-12T18:19:12.940466Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T18:19:12.951855Z","title":null,"venue":null,"work_id":"3add0615-dd3f-4098-9683-9dba00557420","year":2019},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.208747Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:7b4da700347e4be38a4f3e2b12877a12e7cd57f5695ef9a7ef6e38979e38106d","observation_id":"b90622e5-f8f9-40ff-b9a5-b9616afd5710","resolution":{"observed_at":"2026-08-12T18:19:12.957133Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T18:19:12.907562Z","title":null,"venue":null,"work_id":"a67084f6-c618-436b-b4ef-9d6e36b04fff","year":2024},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.224406Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:8d65adf82890e0b011ed5f69c0290d8152153f3b27582673f6bc0c0ce7858782","observation_id":"312a5b88-52d1-4a1e-9530-dfeff37519d1","resolution":{"observed_at":"2026-08-12T18:19:12.913068Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T18:19:12.219130Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.219130Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:15777982aae43b797058875042ad24c7f500b11008976b5788967c22a0e71f7b","observation_id":"5d7f2c0b-b057-418d-b06e-727762a7015b","resolution":{"observed_at":"2026-08-12T18:19:12.219130Z","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":"2026-08-12T18:19:12.868475Z","title":null,"venue":null,"work_id":"9a8e7cda-2634-49ea-b8bd-23fae23d474d","year":2023},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.234189Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:5ce77a9c372cf8b3b0435c7873ac01851088040af769d73c2298e58181504e7e","observation_id":"5f6b34f7-df81-4fd6-8556-7564df981f64","resolution":{"observed_at":"2026-08-12T18:19:12.879072Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T18:19:12.891045Z","title":null,"venue":null,"work_id":"d089de73-721d-4761-b31e-d23b61ca880c","year":2021},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.229375Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:f73e23976a7eb953bae545bee098c4327f20b3747f2ed1b4028cedc519dbeb17","observation_id":"00ef5c1a-120c-4714-a845-7191fd010a38","resolution":{"observed_at":"2026-08-12T18:19:12.896689Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T18:19:12.850471Z","title":null,"venue":null,"work_id":"7e3cd103-1a1b-4d1e-953a-75cdc0c7fbc5","year":2019},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.244302Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:02624e0eae17ea56dbdbcc41912a2b09459a28eb2cf1b28e404a0f9d45835819","observation_id":"f1c1225d-dd16-47ed-9495-3b22e4a5c747","resolution":{"observed_at":"2026-08-12T18:19:12.855929Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T18:19:12.239040Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.239040Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:d5317c35b1cff237421eaf1699466f581d17499188c31ab0edb7413136d1ba59","observation_id":"d5d2a9e5-cd26-44ee-948c-73b140f51101","resolution":{"observed_at":"2026-08-12T18:19:12.239040Z","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":"2026-08-12T18:19:12.833631Z","title":"Mišić, and Yixiang Wang","venue":null,"work_id":"744f5aa5-af0d-4bd0-87d9-e4df5b31f86c","year":null},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.254986Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:33f22a9b6db80cedc82827d23f46791d3e34f54c87c9fc8c9f309a2e927420e0","observation_id":"c63b219d-db82-4802-8a89-e47af48efd55","resolution":{"observed_at":"2026-08-12T18:19:12.839082Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2002.06440","last_updated":"2020-02-15T20:09:24Z","snapshot_observed_at":"2026-08-12T15:17:06.525913Z","submitted_at":"2020-02-15T20:09:24Z","title":"Federated Learning with Matched Averaging","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2002.06440","snapshot_observed_at":"2026-08-12T18:19:12.249540Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.249540Z"},"links":{"cited_paper":"/paper/2002.06440","citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:a64298d1b0ea0f9c24c5020328351e6dba333161db632f7214619b8e23c3e803","observation_id":"982fa7f2-3542-4b0b-a16c-0c41fef01142","resolution":{"observed_at":"2026-08-12T18:19:12.249540Z","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":"2026-08-12T18:19:12.784312Z","title":null,"venue":null,"work_id":"641a47a1-43b2-43d6-877d-654a537b9c8a","year":2021},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.270483Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:6c136c4535af27a180377b0530ac0fb019e00ef0bc4d4ef14b4d4d6e4b8aede8","observation_id":"902494d9-fef6-4fd5-a9ef-4e71ec79ab29","resolution":{"observed_at":"2026-08-12T18:19:12.790783Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T18:19:12.275706Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.275706Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:c009ad4fb224dbaa300983496239dda98a1d13e4c297a6482cde8b451b8de473","observation_id":"d3e3fd9c-0121-4133-91c3-bd2b6b35534e","resolution":{"observed_at":"2026-08-12T18:19:12.275706Z","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":"2026-08-12T18:19:12.801432Z","title":null,"venue":null,"work_id":"0fcb4ccc-2a83-45b3-bd10-509856092bed","year":2022},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.265413Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:be669d34a98203f7e18c6792751af5fc3e0e207c4eb862ecc36605e26b1808e7","observation_id":"610bde4e-b3f4-4128-992d-c8c80d841bb0","resolution":{"observed_at":"2026-08-12T18:19:12.806797Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T18:19:12.739613Z","title":null,"venue":null,"work_id":"8517cdd6-3b08-4c01-986f-594ea2b33ea7","year":2022},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.285623Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:e416478113d8a80a328acbfd098ff738417a796fb19fa4bb5444df9c03dbfe7d","observation_id":"48cf9457-afaf-4cfb-9fac-4b7ce9d049e8","resolution":{"observed_at":"2026-08-12T18:19:12.744892Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T18:19:12.723686Z","title":null,"venue":null,"work_id":"5d900543-8b7c-4356-b07e-a6514c9e5d2c","year":2020},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.290864Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:efd0a662e57f4988cbfcfac2ce9dbff07ae7d5159357d854cae02f7b18ed5667","observation_id":"5fbfcd21-24bc-49d3-82e3-a1f229d0c35c","resolution":{"observed_at":"2026-08-12T18:19:12.728987Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T18:19:12.755337Z","title":null,"venue":null,"work_id":"f6754fe0-4b15-4bc4-a5f4-4ed144683c74","year":1982},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.280676Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:e514ada1688ae4bc34fd12c1886ef19b669ed3eb4e48c6c33800c0d13ff1e6b8","observation_id":"b6f5a5af-b197-4346-8968-351e44cbda46","resolution":{"observed_at":"2026-08-12T18:19:12.761837Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T18:19:12.689595Z","title":null,"venue":null,"work_id":"ebc7d3b6-f57b-4a2f-a4ed-6dd0debb95d4","year":2021},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.301307Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:8cfbd8507b12bd8658e3c0382c343b20ad08088db6156139b51cbe6a5cd297fa","observation_id":"2cee86fa-bd38-4d53-8132-c40a8775e6d1","resolution":{"observed_at":"2026-08-12T18:19:12.696947Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T18:19:12.306496Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.306496Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:8cd54434f3d6cbdb7eb33cb516fe3345f70661eb43bcda5140012f95a00291ec","observation_id":"5ca7576a-ee2a-43bb-b788-76b74ddc3e3d","resolution":{"observed_at":"2026-08-12T18:19:12.306496Z","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":"2026-08-12T18:19:12.707855Z","title":null,"venue":null,"work_id":"0f85fed2-ee83-4e92-9a2f-a6207403fc15","year":2020},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.295929Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:4bf25ef81809cd9b7968cc7f27ad76b3478899a83a42aad4ea90b499e440548f","observation_id":"0672c58d-d4dd-491f-ab11-ad2a8c7c59df","resolution":{"observed_at":"2026-08-12T18:19:12.713164Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T18:19:12.653781Z","title":null,"venue":null,"work_id":"26bc391c-67d7-4335-865e-cb9c0c179b02","year":null},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.316728Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:81e25e0580df475aeda8adb36522cf8707f9d62def0b694ee477ba69c166cf78","observation_id":"cfe74aaf-8e65-4fd1-a485-4f208eb62ab7","resolution":{"observed_at":"2026-08-12T18:19:12.659039Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T18:19:12.620679Z","title":null,"venue":null,"work_id":"c9d3c1f9-560f-450e-9e5e-cded5ff7444a","year":2016},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.327550Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:856bbbe165f03a5e1495140c73df26c2ce56df387d1c664b637e17461e5ae704","observation_id":"b3056eba-f6d6-47e9-a433-182449f21fa2","resolution":{"observed_at":"2026-08-12T18:19:12.626181Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T18:19:12.311765Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.311765Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:9e2aaedf69e9ff5d955e00d1b5fa67fefc8917ff33934f32b4df05a8ef816b2c","observation_id":"becff05e-e784-4e35-878c-78c3983d2bdf","resolution":{"observed_at":"2026-08-12T18:19:12.311765Z","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":"2026-08-12T18:19:12.603481Z","title":null,"venue":null,"work_id":"d7ae29b5-e132-4520-89a2-27912e9f10c6","year":2021},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.334158Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:c49192ed994ecc807da8985d073b389cd9d82549484eec6e53d61f3c5af467cc","observation_id":"0fc4dd2b-3857-4daf-859e-f8c7927d665b","resolution":{"observed_at":"2026-08-12T18:19:12.609814Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T18:19:13.467857Z","title":"In Proceedings of the 50th International Conference on Parallel Processing","venue":null,"work_id":"0aeb456d-f623-4b17-a63a-27688733cab5","year":null},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.042192Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:0b4bdf84fb544751a7414924dd6c92f7df284c5d52653b99cb1682677aad0da2","observation_id":"8631f526-f44c-425e-aaf3-a47601d370f1","resolution":{"observed_at":"2026-08-12T18:19:13.473588Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T18:19:12.636870Z","title":"In 2022 IEEE International Conference on Big Data (Big Data)","venue":null,"work_id":"5f70f10e-f173-4ca4-b6bf-2c84def5afda","year":2022},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.322262Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:b1ccbb256e7ec34b49ae919ea7f3532a31ce0def44ee0db0c646afcf973b0a2f","observation_id":"fd083d98-22d4-4762-80fe-d283f9f7187a","resolution":{"observed_at":"2026-08-12T18:19:12.642888Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-12T18:19:12.817277Z","title":"IEEE Internet of Things Journal 11, 1 (2024), 1374–1384","venue":null,"work_id":"c2e8e511-defa-4b6b-a0bf-d4dfb7d20c8c","year":2024},"citing_paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-12T18:19:12.260387Z"},"links":{"citing_paper":"/paper/2411.11713"},"observation_digest":"sha256:b98842bb09c92230a2e77b59abb87c99981e5f6ccb2c33ae54ca452b3d901c5d","observation_id":"8fa29559-0ffb-4b3b-a801-58132af6ffc3","resolution":{"observed_at":"2026-08-12T18:19:12.823121Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2411.11713","last_updated":"2024-11-18T16:37:41Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-15T04:46:59.856067Z","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning"},"reference_resolution":{"displayed":68,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":62,"verified_exact":1,"verified_fuzzy":5},"total_outbound_references":68},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 0 inbound Pith citation observations for arXiv:2411.11713."}