{"as_of":"2026-08-05T02:07:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d7ad94ae7162a0e68b805146a9cd399b2ba9f3bddc2263ece082116d7f170c2c","coverage":[{"denominator":100,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-21T17:40:10.135567Z","state":"measured"},{"denominator":102,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":102,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-04T06:34:03.388597+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T21:53:25.695298Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-11T05:05:56.861299Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2512.05958","snapshot_observed_at":"2026-08-02T21:53:25.695298Z","title":"Maxshapley: Towards incentive-compatible generative search with fair context attribution.arXiv preprint arXiv:2512.05958,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2602.18905","last_updated":"2026-06-05T06:00:51Z","snapshot_observed_at":"2026-08-02T21:53:24.267029Z","submitted_at":"2026-02-21T17:00:54Z","title":"TRUE: A Trustworthy Unified Explanation Framework for Large Language Model Reasoning","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-02T21:53:25.695298Z"},"links":{"cited_paper":"/paper/2512.05958","citing_paper":"/paper/2602.18905"},"observation_digest":"sha256:bd376b5c1d55db58d82153e11543b907bec506c97377aaf893647ee2ef60f920","observation_id":"719ad747-8669-4c1f-b302-b89cfef2fc96","resolution":{"observed_at":"2026-08-02T21:53:25.695298Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"cited_work":{"arxiv_id":"2512.05958","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2512.05958","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Maxshapley: Towards incentive-compatible generative search with fair context attribution","venue":null,"work_id":"8c84acee-fb16-4ed8-9a02-9bfdbf392371","year":2025},"citing_paper":{"arxiv_id":"2605.06920","last_updated":"2026-05-07T20:30:44Z","snapshot_observed_at":"2026-08-02T22:53:00.948257Z","submitted_at":"2026-05-07T20:30:44Z","title":"In-Context Credit Assignment via the Core","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-11T00:52:53.665983Z"},"links":{"cited_paper":"/paper/2512.05958","citing_paper":"/paper/2605.06920"},"observation_digest":"sha256:a4efcb533f2d5ac63e4123cef60ba5f0411f57b7ee7cd617495bea91854324b4","observation_id":"24b62eae-1970-4698-b87e-0d18c7e52fe0","resolution":{"observed_at":"2026-05-20T02:04:48.497166Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2512.05958/citation-record","integrity":"/paper/2512.05958/integrity","json":"/paper/2512.05958/citation-record.json","paper":"/paper/2512.05958"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"https://gist.ai/","venue":null,"work_id":"7d92fd74-05c0-4308-919a-b7347f50b1f5","year":2025},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:9d3b7a1a35572fc506d4f238835d980cb5e60c3a8ff9ca8377411d3c041cc3c7","observation_id":"817caaaf-fa48-49dc-bb0f-f217e478ba8c","resolution":{"observed_at":"2026-05-21T17:40:26.841604Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Geo: Generative engine optimization","venue":null,"work_id":"6fdbd55f-b1fb-4b51-9e11-6dfc951bf6fd","year":2024},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:f32a430bd18d233496f55c8ddac45e5c2eb83835374761fc478a1c08e6c0ee37","observation_id":"a1ef407e-a8f3-4708-a5d2-23410ce5752c","resolution":{"observed_at":"2026-05-21T17:40:26.854234Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Introducing pay per crawl: Enabling content owners to charge AI crawlers for access","venue":null,"work_id":"867578db-dfdd-4bb0-a0df-a604bb76d94d","year":2025},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:9c0fd9e13709fd3a7c496dcdb7261fa1087945b3fe59d957fa39b21456d72c09","observation_id":"e9f6e963-86e8-42e3-b7f8-d2a03bf354df","resolution":{"observed_at":"2026-05-21T17:40:26.843962Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Will Google’s AI Overviews kill news sites as we know them?, 7","venue":null,"work_id":"01a4b168-a50a-4817-b3a5-6696ed1ffcb6","year":null},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:a4e7a0124db249e9878a3ee3d2a47fbff21143d43c3f8e835f1884947c365b69","observation_id":"ae28303e-50ae-4769-b7b2-151aae50050a","resolution":{"observed_at":"2026-05-21T17:40:26.834544Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"10aad025-f4eb-4198-99fe-d6d4ad6b6b2a","year":2025},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:37bd6121916a7f1995e3f95871507d06337f68d66e30678f596dc866c9c48548","observation_id":"2b5fcc35-d517-410f-8dcf-f3d9493fc741","resolution":{"observed_at":"2026-05-21T17:40:26.848306Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Claude 3.5 Haiku","venue":null,"work_id":"dd6c5e1e-c550-41fe-b114-ae9044735592","year":2024},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:81d247c1f51c0288f4e6340eeb057abc32717c4f2e91c063777114e601f6ced3","observation_id":"7cf2f6da-2112-4479-b5ff-8f70bffce66c","resolution":{"observed_at":"2026-05-21T17:40:26.837187Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Introducing Claude 4","venue":null,"work_id":"416e7511-6c9d-4ee0-a0ae-2c340b98f089","year":2025},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:e2e5482bbd9dfee792c55cfb95e4a0f9a78910ce9b87e8f9baa975cf8f1c7526","observation_id":"15499217-c0cd-4874-ba47-0ae6a29462b4","resolution":{"observed_at":"2026-05-21T17:40:26.851486Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Pricing","venue":null,"work_id":"892d1df2-7c3b-4492-ba3a-166e33d0bb61","year":2025},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:00db499f8c72a88ea2b038481f43df999762e0b7aa836a7c52ecd62009854073","observation_id":"67612fc8-651a-4d0e-9b47-258744ace3b8","resolution":{"observed_at":"2026-05-21T17:40:26.839276Z","resolver_source":"raw_fallback","status":"parse_uncertain"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"deterministic","venue":null,"work_id":"443cc53a-2dd1-452c-a30d-c41eb7cc072d","year":2025},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:12d79816f2934344edc8351e30005c2994f92b8c2e89c97cbc664fb865f67cbd","observation_id":"46d315ce-27e2-41ae-9f82-898a6885ef0f","resolution":{"observed_at":"2026-05-21T17:40:26.845965Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A Turvey-Shapley Value Method for Distribution Network Cost Allocation","venue":null,"work_id":"14c6fe10-948b-4394-8199-1093b94643b0","year":2024},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:a8a61b036f9f8fc03a440293605022ee8dc65dfd3dce591cf7358c57776b157b","observation_id":"4aa65d8d-785d-45bb-aa15-cc91ebd9786c","resolution":{"observed_at":"2026-05-21T17:40:26.711513Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"MS MARCO: A Human Generated MAchine Reading COmprehension Dataset","venue":null,"work_id":"1dcfc515-dbe1-4e52-aa69-2a6b94f55490","year":2018},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:239a3b402060e051c86426e2905940348592a926b3f7aa6b763ff9c9a216984f","observation_id":"aefa2d4b-d9c8-41fe-a25d-89955f94ea0d","resolution":{"observed_at":"2026-05-21T17:40:26.718506Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.11022","last_updated":"2025-02-05T13:16:46Z","snapshot_observed_at":"2026-07-06T17:45:47.803735Z","submitted_at":"2024-03-16T21:54:13Z","title":"Ads in Conversations","version":2},"cited_work":{"arxiv_id":"2403.11022","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.11022","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Ads in conversations","venue":null,"work_id":"dc6100a7-1939-4394-a8f7-08e12be7148a","year":2024},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"cited_paper":"/paper/2403.11022","citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:aa8eb1825e4a09228a174602fff86608666fa864c0f0d68d329f76258e8ae418","observation_id":"bab8611d-5c85-4899-a065-9e8edb06493e","resolution":{"observed_at":"2026-05-21T17:40:26.226723Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Anthropic PBC, No","venue":null,"work_id":"046c00fe-5960-4445-855c-481219d8b994","year":2024},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:357ef39b498231b51c39245913539203775c46caafe06c6498e290fcabc3bf7b","observation_id":"b823db9c-6ecb-4032-a28c-e7d469eabe0f","resolution":{"observed_at":"2026-05-21T17:40:26.794405Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2412.16132","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Data-driven mechanism design: Jointly eliciting preferences and information","venue":null,"work_id":"a2330c9e-190a-44a5-83d7-890054fcd614","year":2024},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:12ea4942129a620132c85e4f2a45ed406504ab111640e5da216b83bb80aeeb00","observation_id":"d0b91ef1-bccb-4033-9a7a-318102081cb1","resolution":{"observed_at":"2026-05-21T17:40:26.237819Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Google users are less likely to click on links when an AI summary appears in the results","venue":null,"work_id":"adfd1d74-11fd-4c87-921a-9ed241488e90","year":null},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:a8b02390fe2ed35e68bacd802030f5cc397c1a68e8ac9977a9c2abf0e32bcd84","observation_id":"0d82181e-0206-462d-858d-a96f42f3642b","resolution":{"observed_at":"2026-05-21T17:40:26.640755Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2509.08919","last_updated":"2025-09-10T18:29:18Z","snapshot_observed_at":"2026-08-04T20:02:51.056355Z","submitted_at":"2025-09-10T18:29:18Z","title":"Generative Engine Optimization: How to Dominate AI Search","version":1},"cited_work":{"arxiv_id":"2509.08919","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2509.08919","snapshot_observed_at":"2026-07-04T21:10:08.608871Z","title":"Generative engine optimization: How to dominate ai search","venue":null,"work_id":"1441da72-dacd-4b64-ba45-723be861f345","year":2025},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"cited_paper":"/paper/2509.08919","citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:70a310277892ef7056159928a6674176674ad2b5a73f4c5c2e76aa66a0c0a21b","observation_id":"63af827b-c8e3-4d81-9a18-63ce7bee1cc0","resolution":{"observed_at":"2026-05-21T17:40:26.260396Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Glass, Shang-Wen Li, and Wen tau Yih","venue":null,"work_id":"8a63fc27-c4b7-44a6-8a4c-361573a60ccb","year":2025},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:4158acb9796d89f1a0720c64c495ee651c95e2af1850f9828e7aa59ece466834","observation_id":"d4829e33-6467-4ef7-b17c-8f0548d2f30d","resolution":{"observed_at":"2026-05-21T17:40:26.722796Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.13752","last_updated":"2025-04-18T15:36:28Z","snapshot_observed_at":"2026-07-06T21:11:34.701779Z","submitted_at":"2025-04-18T15:36:28Z","title":"Learning to Attribute with Attention","version":1},"cited_work":{"arxiv_id":"2504.13752","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.13752","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Learning to attribute with attention","venue":null,"work_id":"99848f26-e7e6-4cb3-8429-692e039a8d5c","year":2025},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"cited_paper":"/paper/2504.13752","citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:f11a1cdc8ccf03e0c663986c5a01af2a9b320e6b0b8f2e2e4808d3e6d17bc574","observation_id":"b2850d75-7d79-4de2-ac52-9d22ececb266","resolution":{"observed_at":"2026-05-21T17:40:26.219731Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Contextcite: Attributing model generation to context.NeurIPS, 37:95764–95807","venue":null,"work_id":"4e8332a6-5266-428d-a8fb-1a9c615bab63","year":2024},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:368df045a01473e43c7534ab50d63b4f5c5369250a79f130818725040c5b52a9","observation_id":"f489ee44-d058-41d2-b54f-241000b5d76c","resolution":{"observed_at":"2026-05-21T17:40:26.675830Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Overview of the trec 2020 deep learning track","venue":null,"work_id":"a94386cc-1fca-4533-8297-1bff16dbcfcc","year":2020},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:7bc549bce72c7734c98e04f1370083e1402009ef5f5bea78a879c3ebd481fe39","observation_id":"6fcf0cd5-64e6-46ad-a392-86d4fa8ff519","resolution":{"observed_at":"2026-05-21T17:40:26.666490Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"V oorhees","venue":null,"work_id":"7000ea1c-b52e-489c-8dcb-2901f591f078","year":2019},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:075accb5ec42d78cec3815800594528951d61cc825f2511e8796a392a16ee70f","observation_id":"0a2e9aa7-8a36-4fba-891f-2bc79d586723","resolution":{"observed_at":"2026-05-21T17:40:26.669102Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Perplexity in talks with top brands on ads model as it challenges google","venue":null,"work_id":"d69d9dbe-cf37-48cf-bff2-e4b9ee51a588","year":null},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:0629025698fc57c923ddaf5a674fe900be3047649d101a531ea37ded27610602","observation_id":"877e9447-565f-4055-89e6-241e3fce6f7c","resolution":{"observed_at":"2026-05-21T17:40:26.661467Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"e25b9544-4d8b-4498-98a2-48d3c5e10b81","year":2025},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:9a1cdd1c137f71fb7e80308de189c820b077e77fd384037a352242bf9a649c13","observation_id":"431fde92-580d-4fc0-ae1f-dbb29656c6e4","resolution":{"observed_at":"2026-05-21T17:40:26.671236Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Google gemini: A multimodal ai model","venue":null,"work_id":"2b2b2860-7926-42b4-9b4d-e37a2f798762","year":2023},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:b4ff217301441aa6c4b303588d7891aafb475323dc4c641e18acdc920036bd01","observation_id":"aa491a1f-5674-46fd-8f76-268d4c07db21","resolution":{"observed_at":"2026-05-21T17:40:26.687342Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.11404","last_updated":"2024-12-16T03:12:13Z","snapshot_observed_at":"2026-07-06T20:07:28.545657Z","submitted_at":"2024-12-16T03:12:13Z","title":"Attention with Dependency Parsing Augmentation for Fine-Grained Attribution","version":1},"cited_work":{"arxiv_id":"2412.11404","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.11404","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Attention with dependency parsing augmentation for fine-grained attribution","venue":null,"work_id":"a386d2ec-69bf-49d7-a5e4-0b77f2da8fba","year":2024},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"cited_paper":"/paper/2412.11404","citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:314c44db570ec6856b9a6752da100c5d277d35d4a8b2728e4204c759b08ba60f","observation_id":"b72d706e-c16e-4dd6-b08e-69bbf630ae85","resolution":{"observed_at":"2026-05-21T17:40:26.251226Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Auc- tions with llm summaries","venue":null,"work_id":"dc3a8893-c43e-404c-a9df-d9f16db7b5db","year":2024},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:37a4f54f12702d7ccda65b0d55afa1fb43ba294e4c2e392288de3bea0e11478b","observation_id":"48174696-0edc-4f9d-ae48-0db10e9b9047","resolution":{"observed_at":"2026-05-21T17:40:26.679077Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Mechanism design for large language models","venue":null,"work_id":"cf0ee41a-ec23-4b62-93d5-9535dbdad391","year":2024},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:8f079327a1fb69ad99466ea0097f7ff378a0ff054efb030e47fe67754d3a07da","observation_id":"1a7464aa-50a3-4958-8266-10e65a8bd002","resolution":{"observed_at":"2026-05-21T17:40:26.713828Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Ai is killing the web","venue":null,"work_id":"fb071ad2-3368-4ff6-8a00-aa617ed98bc4","year":2025},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:233f2bf58e30531cb963c3fb1aeb609edede9cf17bff524575c8c116fefe373d","observation_id":"57e58688-c4a9-40e2-9ac1-a263f07f54e7","resolution":{"observed_at":"2026-05-21T17:40:26.811919Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.07601","last_updated":"2024-09-09T08:56:31Z","snapshot_observed_at":"2026-07-06T16:46:57.403995Z","submitted_at":"2023-11-11T02:13:32Z","title":"Online Advertisements with LLMs: Opportunities and Challenges","version":4},"cited_work":{"arxiv_id":"2311.07601","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2311.07601","snapshot_observed_at":"2026-07-03T01:37:30.921373Z","title":"On- line advertisements with llms: Opportunities and challenges","venue":null,"work_id":"b45b5898-2d3b-4a8f-9e04-15acec41ae61","year":2023},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"cited_paper":"/paper/2311.07601","citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:5dbb105434bb3ae80248733be4c73c468453ac2a9e40b1d81855fd9450451a76","observation_id":"a86cfb1e-1bb5-421c-8bdd-a4f6da624638","resolution":{"observed_at":"2026-05-21T17:40:26.244606Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Online advertisements with llms: Opportunities and challenges","venue":null,"work_id":"524f1477-3ee0-4306-b375-bf80e74641d5","year":2024},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:c63bf33504255c9df72fab9feed5500b580bb1e1da3b8b7ad0609fade7aec195","observation_id":"04ad679c-ced2-40aa-a4e0-d58b9b48b76a","resolution":{"observed_at":"2026-05-21T17:40:26.643160Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Penske Media sues Google over AI summaries taking traffic.Axios, 9 2025","venue":null,"work_id":"9d1e65c0-7edd-4dde-81fa-7b1960b4049b","year":2025},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:9a4e9c1e283814a1d4e3bcf5136e897cbe5a02e4a3bef8eafb74c332e22cbbb8","observation_id":"4fa44a20-1b5e-4481-b045-622308acd00d","resolution":{"observed_at":"2026-05-21T17:40:26.740455Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Data shapley: Equitable valuation of data for machine learning","venue":null,"work_id":"e16c81bb-0aeb-41b8-b681-5f99ec8d4a8c","year":2019},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:8fe8636047bdd6ff45168c4805b89eb138d600602583b8609954b77cd5b7ff8b","observation_id":"d22ab1f8-a2bc-4393-844f-d04f8b1bb691","resolution":{"observed_at":"2026-05-21T17:40:26.817366Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.15594","last_updated":"2025-10-19T10:32:43Z","snapshot_observed_at":"2026-08-02T10:23:50.881300Z","submitted_at":"2024-11-23T16:03:35Z","title":"A Survey on LLM-as-a-Judge","version":6},"cited_work":{"arxiv_id":"2411.15594","doi":"10.1016/j.xinn.2025.101253","metadata_source":"pith","pith_arxiv_id":"2411.15594","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"A Survey on LLM-as-a-Judge","venue":"cs.CL","work_id":"2676656a-67bd-4ad5-bad6-cb6f5fcdbfbe","year":2024},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"cited_paper":"/paper/2411.15594","citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:8d7e319f59a05488b8b9c29ad50f72a602291f8c536b7d1e7d6cad293492ef8d","observation_id":"40b46cf7-d629-493b-9e4f-6e4f602ce77a","resolution":{"observed_at":"2026-05-21T17:40:26.257082Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-07-10T18:20:01.818871+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-10T18:20:01.818871+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"RAG\" Stands for “Royalties","venue":null,"work_id":"e783f66c-07ef-4738-9a3e-09ffc4aca8ed","year":2024},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:d980dffe6b7f63cc11e96e6337de4cef483de7806a1f772da6d13474f92f884a","observation_id":"45bb71ab-37c1-465d-81b7-7499db9fcc71","resolution":{"observed_at":"2026-05-21T17:40:26.720692Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Realm: Retrieval-augmented language model pre-training","venue":null,"work_id":"fd99e691-10c9-4c26-a004-47d89383367b","year":2020},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:c3e29081701b4443abfaffacb2fb9e17474d356dd8dbb5e3501387dd9ebe3935","observation_id":"37550eee-b028-4fcc-b88b-0bda8a33569b","resolution":{"observed_at":"2026-05-21T17:40:26.742896Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Ad auctions for llms via retrieval augmented generation.NeurIPS, 37:18445– 18480","venue":null,"work_id":"1d212ac7-a95c-4d39-8063-2e24ccb3b579","year":2024},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:2d0b2a21221408341f6e49a85930a5b710fd9893f1a4c0bbd95927cc4049dd22","observation_id":"8e0fbcc0-a396-451c-b0f2-20728a7cbe7e","resolution":{"observed_at":"2026-05-21T17:40:26.822679Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A shapley value-based incentive mechanism in collaborative edge computing","venue":null,"work_id":"acb037b3-711f-4b7a-811e-d730da57392b","year":2021},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:563520e84515c74a95fcf719154d6171bf891eb401a40a2218709e4fe49e7f26","observation_id":"d5b69132-9536-4b0b-83e9-3cf6ecde7d06","resolution":{"observed_at":"2026-05-21T17:40:26.648428Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.01187","last_updated":"2025-06-01T21:46:23Z","snapshot_observed_at":"2026-07-06T21:34:43.519872Z","submitted_at":"2025-06-01T21:46:23Z","title":"LAQuer: Localized Attribution Queries in Content-grounded Generation","version":1},"cited_work":{"arxiv_id":"2506.01187","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.01187","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Laquer: Localized attribution queries in content-grounded generation","venue":null,"work_id":"7d90d0a3-a6c9-49ca-b52c-161977b2ba07","year":2025},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"cited_paper":"/paper/2506.01187","citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:3f00c70aa5317dfecc84fb6c64122b54745200e70910c259a45dca1e07afd137","observation_id":"69b8c388-dbff-41e9-a072-04ae5184f443","resolution":{"observed_at":"2026-05-21T17:40:26.215595Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Datamodels: Understanding predictions with data and data with predictions","venue":null,"work_id":"993c3409-1f6f-46f9-817f-1e5b6d4cf3a6","year":2022},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:3ef959d8cee74fb106cb321c996967a408d830541a2797b27a2d6a71fb5be74b","observation_id":"a2593213-6ccd-4648-a612-ea1b7e9e4983","resolution":{"observed_at":"2026-05-21T17:40:26.646032Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Atlas: Few-shot learning with retrieval augmented language models","venue":null,"work_id":"3e2f4f9c-2cc6-44d4-99ab-cff059c1fbc7","year":2022},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:cad2c6903f0b04f14d3bf26d151dce2876f0cb1ace3099bc339e05107b9b6f51","observation_id":"167f43a2-2eed-4c92-b988-a376da0fcbfe","resolution":{"observed_at":"2026-05-21T17:40:26.767961Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Virtual machine power accounting with shapley value","venue":null,"work_id":"7bbbcd1e-65e2-415e-95c0-ed260f678fc3","year":2017},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:4e97841abb30d12d28e5b8c8999cb851f9b055abda411b76faec89b594dcd80a","observation_id":"f9f82a69-0a9d-490b-80a2-ddf1e35172c5","resolution":{"observed_at":"2026-05-21T17:40:26.755242Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"b306f39c-d8bc-44f8-81e8-9cfe5d620a20","year":1938},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:388bb8f1fc8f9da33825be18a657edf527ff258a8d4c3fee14d7cca7fd8f367f","observation_id":"b136b4a6-d580-48ad-8fee-8dc101ece480","resolution":{"observed_at":"2026-05-21T17:40:26.700181Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Colbert: Efficient and effective passage search via contextualized late interaction over bert","venue":null,"work_id":"4fe8a36e-e952-4fc9-a4fb-bb85c0865ef1","year":2020},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:c75463b714420728ddd539ebb1260534044966cd6e87897eafc9ae6917f88cc5","observation_id":"b2ee82f6-0aad-4c6f-8d43-52d86e2b56f3","resolution":{"observed_at":"2026-05-21T17:40:26.814691Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Engaging the many-hands prob- lem of generative-ai outputs: A framework for attributing credit.AI and Ethics","venue":null,"work_id":"c59e92ea-c475-41c9-bef1-55fad912e32a","year":2024},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:bdc3cfedcc0f862d16949a11d81b68d6c42e70783c1f1d61397d6a1f95762c4e","observation_id":"3e773cc2-05a2-484a-9f12-27570a4d1533","resolution":{"observed_at":"2026-05-21T17:40:26.757725Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Understanding black-box predictions via influence functions","venue":null,"work_id":"fa2d04cc-40ee-40ec-a801-719b1e35c7fa","year":2017},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:a4c66d4a542a7ff626935d7def3c19a73f783aa97d5962b9cd70f5203bf29195","observation_id":"34f85726-2a26-44b5-97da-10aceb923f09","resolution":{"observed_at":"2026-05-21T17:40:26.752437Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"The impact of llms on sponsored search: Evidence from google’s bert.USC Marshall School of Business Research Paper Sponsored by iORB","venue":null,"work_id":"598fc898-db16-493c-b1ee-a97a993ba569","year":2025},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:73fdab040b539cd881e7cb754ceb83bed4b4f28c1933212caf20a6c3e9f6af98","observation_id":"bcdb50a3-4151-48fb-9a2c-c583470d82df","resolution":{"observed_at":"2026-05-21T17:40:26.778443Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2511.21140","last_updated":"2026-05-31T12:00:00Z","snapshot_observed_at":"2026-08-03T20:08:35.017586Z","submitted_at":"2025-11-26T07:46:46Z","title":"How to Correctly Report LLM-as-a-Judge Evaluations","version":4},"cited_work":{"arxiv_id":"2511.21140","doi":null,"metadata_source":"pith","pith_arxiv_id":"2511.21140","snapshot_observed_at":"2026-06-29T22:04:00.693420Z","title":"arXiv preprint arXiv:2511.21140 , url=","venue":"cs.LG","work_id":"e0a5f81a-d626-4818-a040-1bfcae0f3d3d","year":2025},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"cited_paper":"/paper/2511.21140","citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:2a9f4f71fa538ea082929254ee335bf066ca5b531d864f4ae36c3fcf4d58c6e2","observation_id":"bf110d09-aeef-4f45-a022-0ee80e5a841e","resolution":{"observed_at":"2026-06-02T03:04:02.584259Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Grade: Generating multi-hop qa and fine-grained difficulty matrix for rag evaluation","venue":null,"work_id":"247e4c5b-8c10-4c14-b0c0-4360d3395d30","year":2025},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:e5475045499b7585a3d6e68c280aa0718bfb64228fe1ec74624a338eed2d3d72","observation_id":"4a18f8bb-58d6-47b6-83eb-854b9702087c","resolution":{"observed_at":"2026-05-21T17:40:26.735570Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Retrieval-augmented generation for knowledge-intensive nlp tasks","venue":null,"work_id":"b41b6e6f-1b0d-4b9a-8810-5c96f1e71aa0","year":2021},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:f8f0cddab6096b741c3d82c55f8684fd3edec3ce2cda8ecc1ebe67225e5e945a","observation_id":"1af68438-7fc0-4229-bc0e-9029bc544056","resolution":{"observed_at":"2026-05-21T17:40:26.737888Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Llm whisperer: An inconspicuous attack to bias llm responses","venue":null,"work_id":"9210c59d-b60c-4622-925b-d77e12047448","year":2025},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:595539fd1e2d365f1ddec738889fa0867392dc04e58d6a8d6227bc14e3f4b89d","observation_id":"7f203e6b-a43a-440e-98a7-9585e2dfaeef","resolution":{"observed_at":"2026-05-21T17:40:26.775441Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Attribot: A bag of tricks for efficiently approximating leave-one-out context attribution","venue":null,"work_id":"f4419863-2b8c-4b67-9343-5ef9ca472ed4","year":2025},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:76edcd963688e79cac9bee6dca0a5356d4fd499f349d53adef2c4bfb07c5b4fa","observation_id":"45a28dd4-e466-4b6a-9303-e6791aaa9c1c","resolution":{"observed_at":"2026-05-21T17:40:26.770507Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, and Percy Liang","venue":null,"work_id":"8e1f1dee-9611-44cd-9a2f-77cca705bd29","year":2023},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:db9d0be1bd8a9bb340b781cc3d60ba39efeb099da3656241716590e12aee4c7c","observation_id":"e674b769-cb55-4bf7-99ab-a31474648967","resolution":{"observed_at":"2026-05-21T17:40:26.786375Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.01304","last_updated":"2025-04-02T02:26:31Z","snapshot_observed_at":"2026-07-06T21:02:42.779646Z","submitted_at":"2025-04-02T02:26:31Z","title":"Real-time Ad retrieval via LLM-generative Commercial Intention for Sponsored Search Advertising","version":1},"cited_work":{"arxiv_id":"2504.01304","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.01304","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Real-time ad retrieval via llm-generative commercial inten- tion for sponsored search advertising","venue":null,"work_id":"2499fa24-9504-4e4a-8bcc-d1b6f391518b","year":2025},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"cited_paper":"/paper/2504.01304","citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:6895ba774fdff27db6224ec503376fe1d3297b1475b538507d21ab6ad85c5dd1","observation_id":"01831593-b05e-4f3e-a5a2-745f7e73c50b","resolution":{"observed_at":"2026-05-21T17:40:26.241325Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"G-eval: Nlg evaluation using gpt-4 with better human alignment","venue":null,"work_id":"de49ccba-7829-4ce8-8870-a46b8094e145","year":2023},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:1bf85140f52dc647acc43f304e12a56c449fefca43b14b8e6d703f0abe87295a","observation_id":"c2b83c4c-951d-488c-8e4a-dda316142993","resolution":{"observed_at":"2026-05-21T17:40:26.763244Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A unified approach to interpreting model predictions.NeurIPS, 30","venue":null,"work_id":"8dd84c5b-f9b1-4f5c-809c-38dea0bb2f9e","year":2017},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:58605ba844c3d23050eb884ff28393ff1ae33e766318c5a60500cb149f4a78e3","observation_id":"72491c91-d709-4791-abe1-6d2c05b6a1c7","resolution":{"observed_at":"2026-05-21T17:40:26.750102Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"4b2e2aba-6258-4b52-b179-afe300943e38","year":2007},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:91aeb29793288209a9c6d4e2a09d46139dac86946764d064c6921b99bc0c4625","observation_id":"a82a5796-e3bf-4727-8643-63f1927f2d44","resolution":{"observed_at":"2026-05-21T17:40:26.731042Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"On cooperative settlement between content, transit and eyeball internet service providers","venue":null,"work_id":"4607d9eb-d8db-4895-862c-2fea406c1800","year":2008},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:58a68b39ccb54233b6ca540f0108c608d360d0e941ad0528af3e545bffdef3a1","observation_id":"19fd8fa9-6819-47a4-ad67-c43c95040285","resolution":{"observed_at":"2026-05-21T17:40:26.733309Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Efficient computation of the shapley value for game-theoretic network centrality.Journal of Artificial Intelligence Research, 46:607–650","venue":null,"work_id":"c89ee19a-b962-41a2-ab64-4eeb0a20b71b","year":2013},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:210ffa88c0c536eb7ea2014a220184157381cd9aa0586573bb133787f151d300","observation_id":"c7a6fbc6-37eb-4b72-aae6-094ada42e1b7","resolution":{"observed_at":"2026-05-21T17:40:26.797020Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"In- centivizing peer-assisted services: A fluid shapley value approach.SIGMETRICS","venue":null,"work_id":"dba4d6d6-89bf-4d89-a5f2-5ffa10f1729c","year":2010},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:db6188827c5fd179f2b1291d37b4dabe71eedce113c77493293e14b44ffef8ae","observation_id":"5b03e723-b3b2-4e5b-9f9b-04b19c3d4696","resolution":{"observed_at":"2026-05-21T17:40:26.831866Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Sampling permutations for shapley value estimation.Journal of Machine Learning Research, 23(43):1–46","venue":null,"work_id":"da131cfb-76e9-4d45-a5cd-83d133302829","year":2022},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:fdfe849a1f0dccd3cf95944fd5c1a8e01964399f08fbd26f573b8b20ee8ff521","observation_id":"ce423af9-9c83-4987-8521-ec5e290fdc9c","resolution":{"observed_at":"2026-05-21T17:40:26.728991Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Sponsored question answering","venue":null,"work_id":"2a7d0bf5-be8d-4db0-96f4-cac28f489852","year":2024},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:485f9000fb4c81b8d07d1e9a7e41aa80603ff97102bfcdbc53c7fb8d95356eea","observation_id":"7c7ce2cb-cd97-40ef-9555-8e94abc49461","resolution":{"observed_at":"2026-05-21T17:40:26.745172Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.04480","last_updated":"2025-07-06T17:36:45Z","snapshot_observed_at":"2026-07-31T02:27:11.901629Z","submitted_at":"2025-07-06T17:36:45Z","title":"Source Attribution in Retrieval-Augmented Generation","version":1},"cited_work":{"arxiv_id":"2507.04480","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2507.04480","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Source attribution in retrieval-augmented generation","venue":null,"work_id":"e4138ed2-1704-4803-8cec-1f8fca371686","year":2025},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"cited_paper":"/paper/2507.04480","citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:d33922a8858e89a2475473f8256f89232be10b7647bb858aed13efc208a9edf6","observation_id":"9f63c5af-7cb7-41d3-9c42-c7d35471c008","resolution":{"observed_at":"2026-05-21T17:40:26.230222Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.18382","last_updated":"2024-07-02T08:56:48Z","snapshot_observed_at":"2026-07-06T18:37:21.973331Z","submitted_at":"2024-06-26T14:24:51Z","title":"Adversarial Search Engine Optimization for Large Language Models","version":2},"cited_work":{"arxiv_id":"2406.18382","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.18382","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Adversarial search engine optimization for large language models","venue":null,"work_id":"12a82257-7b5a-41a6-a1ce-df6eb6d2d189","year":2024},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"cited_paper":"/paper/2406.18382","citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:81e1e1da74a1fd3cbf284535d7c7736da94f4793d7130b61e17e40937399febc","observation_id":"9259a03e-167f-4348-ad3f-6a41fc78fca8","resolution":{"observed_at":"2026-05-21T17:40:26.248051Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Chegg sues Google for hurting traffic as it considers alternatives","venue":null,"work_id":"609a69eb-0def-460a-b911-ea34ad20bb9d","year":2025},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:653d4d97ee4add9afc0ded6b4d0e344f8a1f9a13450eda19b8c02d10556d5564","observation_id":"4456b524-e294-46c1-8581-5417f5371dca","resolution":{"observed_at":"2026-05-21T17:40:26.819947Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Introducing GPT-4.1 in the API","venue":null,"work_id":"1ed201b8-8b96-45e2-8f99-7a817ca61448","year":2025},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:3e5ac8db2f5449a2f98c64afd77c9cc8970d9057653c96da470d5c8167d331c0","observation_id":"55c8a5b4-bae2-43b6-b516-bb3442c78ac5","resolution":{"observed_at":"2026-05-21T17:40:26.659192Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Pricing","venue":null,"work_id":"1910bdbf-b77f-4e42-bf56-03205e21d1d0","year":2025},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:e3e226c2cf5eae1a01605277959f7a09b483f4f8a746458c6101f72f03a591ff","observation_id":"67fb7061-7d55-4a93-b787-129b1d465671","resolution":{"observed_at":"2026-05-21T17:40:26.747481Z","resolver_source":"raw_fallback","status":"parse_uncertain"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Llm visibility: Ai search statistics","venue":null,"work_id":"e39daeaa-1018-44c9-9475-c1816bfd0a8d","year":2025},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:3af0ea0814492584d666bc4cf14d8d7a5d8f616f574a7ad8cf55a8ff4ab55197","observation_id":"56f139f7-8170-4e26-b5c3-ff122432a1c7","resolution":{"observed_at":"2026-05-21T17:40:26.802453Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Llm evaluators recognize and favor their own generations.Advances in Neural Information Processing Systems, 37:68772–68802","venue":null,"work_id":"f397582a-b029-4d24-a8a3-1c654b3b309a","year":2024},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:ba5c658a4951b47f08c6e60bff5e9318c2e9514e8f91c7edf5f4c68ff2c45843","observation_id":"5875d451-2cd0-4f41-bead-2281b94936c9","resolution":{"observed_at":"2026-05-21T17:40:26.651216Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"TRAK: Attributing model behavior at scale","venue":null,"work_id":"ea643a13-181a-48e1-9421-f5f0964b9f1a","year":2023},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:4be233d54cb2d25bd62b1a04e0613ae6385593cd3980b27d3423a6091da319c0","observation_id":"115ebab1-e813-4bf2-a615-1320a9ac656c","resolution":{"observed_at":"2026-05-21T17:40:26.689692Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"News publisher files class action antitrust suit against Google, citing AI’s harms to their bottom line, 12 2023","venue":null,"work_id":"5f71d863-1895-4273-970b-b84c92e53e51","year":2023},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:d61a4f6e52c9eb4a3a2fbe7cb8071132311d8f0fa9c571c557051fb194c7ec9e","observation_id":"867b6314-c74f-452c-b767-a985ee1bb220","resolution":{"observed_at":"2026-05-21T17:40:26.709291Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Perplexity AI","venue":null,"work_id":"fcac54cb-e747-4b06-b452-f82efc4a1572","year":2022},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:b611098d36130b8082001550005eb7c736106734905a1184b13b7352dc9b44e8","observation_id":"2e46b0f0-a5c5-4595-8a64-85cbb9463916","resolution":{"observed_at":"2026-05-21T17:40:26.691644Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Anthropic to pay $1.5 billion to settle authors’ copyright lawsuit","venue":null,"work_id":"a3ac827c-d59d-472d-a45b-5eb6b5f1e08d","year":2025},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:944e9347482d299404efe12ccbf3af0af3381e116c2c29e0da306d368a8e8ff8","observation_id":"9bbf5ee3-032f-425d-93ee-0dc3c76c29cb","resolution":{"observed_at":"2026-05-21T17:40:26.673628Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Esti- mating training data influence by tracing gradient descent.Advances in Neural Information Processing Systems, 33:19920–19930","venue":null,"work_id":"bef1c253-cdca-4233-a935-1b4b98436343","year":2020},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:a1cc4ef3da86be87efc1cfd893928a50ff9932d5e2b2fa2475d82d184d5f66fe","observation_id":"7e187d93-f7c4-4a0c-835c-835fec8bfeff","resolution":{"observed_at":"2026-05-21T17:40:26.664141Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Model internals- based answer attribution for trustworthy retrieval-augmented generation","venue":null,"work_id":"81fc2c21-9ddf-49e2-9d86-433cf0051593","year":2024},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:faaf843002387134174801ee90be97c73fbff9f3dc51c8893f3ef7b5e06d632a","observation_id":"bdcbe430-8fe5-4289-888b-f2dc67548911","resolution":{"observed_at":"2026-05-21T17:40:26.702456Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"why should i trust you?","venue":null,"work_id":"c5a2e4c7-837d-441a-9f5d-bbb65f2324ee","year":2016},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:ccc208245275e2b4e67c4f7b7bca9daf24eb95ef37c7baa4393e82234c69b39b","observation_id":"ce6c4a32-f8fc-476e-9b24-1f0d01af0171","resolution":{"observed_at":"2026-05-21T17:40:26.704745Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Ai overviews: How are publishers adapting to the rise of clickless search?","venue":null,"work_id":"5c2e1a53-e73d-4319-a40d-819c80c1a287","year":2025},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:b2d5989ca00d59e50dc5f780f3982cb5fd77bf74f21002e7f5b66a908bb4fe8f","observation_id":"c866f80f-1e16-44e7-8bb7-7309e9d45468","resolution":{"observed_at":"2026-05-21T17:40:26.693868Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"The butterfly effect of altering prompts: How small changes and jailbreaks affect large language model performance","venue":null,"work_id":"b1386c6a-6de0-4bd0-9fd0-1d674643a865","year":2024},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:272ff1eeaabaf660ec43722fbec251cfa432d18581fad492e2bd4f8c7cb7f795","observation_id":"70b8dc04-be19-4315-a168-5032f51251e8","resolution":{"observed_at":"2026-05-21T17:40:26.638040Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2112.01488","last_updated":"2022-07-10T17:28:51Z","snapshot_observed_at":"2026-08-04T03:36:33.710054Z","submitted_at":"2021-12-02T18:38:50Z","title":"ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction","version":3},"cited_work":{"arxiv_id":"2112.01488","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2112.01488","snapshot_observed_at":"2026-07-04T12:39:49.779669Z","title":"Colbertv2: Effective and efficient retrieval via lightweight late interaction","venue":null,"work_id":"903ffc6b-bfdd-490d-ad3e-aa3fba3ba489","year":2022},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"cited_paper":"/paper/2112.01488","citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:570215a8cf906542d12fc028ae1d62dc812ac0ce127b9335b7da8c612660fc18","observation_id":"5d3cea7a-d91d-4ed6-bcca-ac985142ac96","resolution":{"observed_at":"2026-05-21T17:40:26.254151Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A value for n-person games","venue":null,"work_id":"97668ce8-5363-4640-a4dd-bf819e07bfc0","year":1953},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:63cc911b6b9267200d15488bebf226b6eb01881a8c69b19ac2c7d43b0fa7feb2","observation_id":"f657d05d-c1fc-49fb-9f24-e8c89aa45bb2","resolution":{"observed_at":"2026-05-21T17:40:26.653195Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Princeton University Press Princeton","venue":null,"work_id":"024c291f-43eb-45a8-a8d8-73eb32acff37","year":1953},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:762e45987b08c236395d17132a82cac7721035549c949050d6710b77698ee608","observation_id":"f769ebae-e4da-4c84-b678-f181923fdcc2","resolution":{"observed_at":"2026-05-21T17:40:26.696083Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A shapley-value mechanism for band- width on demand between datacenters.IEEE Transactions on Cloud Computing, 6(1):19–32","venue":null,"work_id":"8b5983f3-8cf7-4f49-b2be-5010e76972af","year":2015},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:86f17776ba7a45206b5d2a2e45a97939b66b56b57373e94febdbd2c038ad1e4f","observation_id":"ee40c656-0025-476d-a07e-06ef37c314e9","resolution":{"observed_at":"2026-05-21T17:40:26.799536Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"https://www.similarweb.com/","venue":null,"work_id":"a33eeec9-83bb-4ea3-945f-ea8443dd9156","year":2025},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:42434b928700779d085fc05a16fdb14b804bcd184dad26a69359a4789c889cbb","observation_id":"0f877532-05b6-4d2e-a50a-f2dd523971f0","resolution":{"observed_at":"2026-05-21T17:40:26.726773Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Consumer reliance on ai search results signals new era of marketing.Bain & Company","venue":null,"work_id":"f07c8a18-3c7a-46fa-b166-06eb2b8a00eb","year":2025},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:efaae529fe07458073d523f96f61dd76b77f9e4019432a6a24beda6d762d5f77","observation_id":"aa94b14b-7c10-45b6-849e-7b2ff32605e3","resolution":{"observed_at":"2026-05-21T17:40:26.783548Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Goodbye Clicks, Hello AI: Zero-Click Search Redefines Marketing.Bain & Company, 2 2025","venue":null,"work_id":"36733fc1-2667-4700-93cd-5afc67c23848","year":2025},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:9c3f9cd1dc9ef84b6d6526284748a69849dc2cbf403cf7818e64a1d55db8effb","observation_id":"8f5047c1-5fc1-4709-9f1b-1f93e9113913","resolution":{"observed_at":"2026-05-21T17:40:26.791914Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"On economic heavy hitters: Shapley value analysis of 95th-percentile pricing","venue":null,"work_id":"05d329fd-6ad8-4a62-9441-61d4782e0d51","year":2010},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:855fd62cee7e6a5b0f777b8c4e647f994bd620454f809524f0559b2d091fc1de","observation_id":"d418e56f-2ee3-4b21-8e39-509a3881e21d","resolution":{"observed_at":"2026-05-21T17:40:26.809092Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Microsoft Corporation et al","venue":null,"work_id":"f52d283d-a69e-46e8-886e-9b7321da9172","year":2023},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:3d486302dbe650e4e5b6fc2967a5220d366543aa02fb35cf3a1c331ccd5f4d79","observation_id":"7b6c4f21-2928-428c-9a01-5ec1446bbed3","resolution":{"observed_at":"2026-05-21T17:40:26.825591Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Musique: Multihop questions via single-hop question composition","venue":null,"work_id":"22eb901e-defd-4e33-9e30-9acbc808a2a8","year":2022},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:c94cc8a69a854999376f0acf233ba6d5a4ca61c32f00fb9ee38f037645d1b4e9","observation_id":"19cec4dc-8dc1-4269-aa1e-f5ab3ad479ca","resolution":{"observed_at":"2026-05-21T17:40:26.829095Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.13964","last_updated":"2024-09-09T04:00:44Z","snapshot_observed_at":"2026-07-06T18:03:33.406287Z","submitted_at":"2024-04-22T08:10:38Z","title":"An Economic Solution to Copyright Challenges of Generative AI","version":4},"cited_work":{"arxiv_id":"2404.13964","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.13964","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"An economic solution to copyright challenges of generative ai","venue":null,"work_id":"e634e5d0-5743-473c-8826-1a736df92987","year":2024},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"cited_paper":"/paper/2404.13964","citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:328482af1ece4b354ebd3140fc4f2137c98d88c4572077091ca1599bd1f01777","observation_id":"8f729105-4e8b-42e9-867c-ef7471d51895","resolution":{"observed_at":"2026-05-21T17:40:26.234171Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Wang, Prateek Mittal, Dawn Song, and Ruoxi Jia","venue":null,"work_id":"0a9267e0-1ddc-42be-a763-dc385ef6579b","year":2025},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:44263153770744956bedaef5dd5d3d4137cd6779ec03ba9453ce33a9d80d92fd","observation_id":"cea2bb4d-008e-4076-8fe9-15928cf90c73","resolution":{"observed_at":"2026-05-21T17:40:26.724775Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Tracllm: A generic framework for attributing long context llms","venue":null,"work_id":"af9e8b63-9598-4f27-9463-741f30d56537","year":2025},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:3f80e89ed00e09d913114170b0282bc4765a54d6b14243d10c1214ea3ba7125a","observation_id":"6f8e9ada-6bd8-4c8c-b94d-0d97dd165bde","resolution":{"observed_at":"2026-05-21T17:40:26.698073Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"How to interpret spearman and Kendall correlation coefficients","venue":null,"work_id":"c1d408de-2a5a-409c-a011-7d510b5f19aa","year":2023},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":91,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:473a0845a7044cb8bec7d93fa9c75710890e4158242d25c89ba38698e6885d9d","observation_id":"3f3b6685-8364-4bbc-8d91-facf2c007c7e","resolution":{"observed_at":"2026-05-21T17:40:26.657278Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Wang, and Jian Du","venue":null,"work_id":"1b9de3bc-12fb-48a4-b472-161680f53e0c","year":2025},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:9bae6c069b9f53d6a63b072326b49919238b8f31e386ec0783b09be0d9bdbe91","observation_id":"18944334-e4a0-47ad-b70f-156693103a2c","resolution":{"observed_at":"2026-05-21T17:40:26.655262Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1809.09600","last_updated":"2018-09-25T17:28:20Z","snapshot_observed_at":"2026-07-31T11:19:06.421362Z","submitted_at":"2018-09-25T17:28:20Z","title":"HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering","version":1},"cited_work":{"arxiv_id":"1809.09600","doi":"10.48550/arxiv.1809.09600","metadata_source":"pith","pith_arxiv_id":"1809.09600","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering","venue":"cs.CL","work_id":"c87d7e5f-b81a-41c8-beca-f0b9d598aae4","year":2018},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":93,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"cited_paper":"/paper/1809.09600","citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:a5cefd57e349163a9d7269f117013891657afb213ee4f2f0666fd5e670ea76c3","observation_id":"1d21897f-05e3-41e0-a7c6-dd62f6562569","resolution":{"observed_at":"2026-05-21T17:40:26.223574Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"John Wiley & Sons, Inc","venue":null,"work_id":"0eb6d4a3-8443-4b92-aaa7-b85a8d9d1e17","year":1999},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":94,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:2d00f13d8d3b575291654fb790098e32b05ba4f3b3b46b0e2fb93c2d82974acd","observation_id":"1ec6a292-36ae-403b-8c2a-1f77e2203d94","resolution":{"observed_at":"2026-05-21T17:40:26.681351Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"If we assume X, then Y","venue":null,"work_id":"47178f36-21de-4275-ae06-b8d33a7e3fa9","year":2023},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":95,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:b4717b0db9044d1e3a28a7d1a844363ead00fac369ce9d3b48d12269e436859c","observation_id":"3c0a72b7-7838-4a86-a118-12be51358e8b","resolution":{"observed_at":"2026-05-21T17:40:26.789005Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Do NOT remove anything that is required for correctness","venue":null,"work_id":"9850b46d-cea1-43e7-be0e-00c9ebab9d26","year":null},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":96,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:925d5aa9a66438dc79ff1a7122869cdf3b4a8f7c167e22f98e2ec958370fbc25","observation_id":"09faf3df-023b-4240-a2a6-2c40d98fde2c","resolution":{"observed_at":"2026-05-21T17:40:26.683840Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"54cbc973-f6e3-4b6f-9105-24c6f195d428","year":null},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":97,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:9ea4e30f1abaa378712f4a5fb4d18394ae9a4bf995d306cdf5bc0afb24785b78","observation_id":"a1eb9d6c-f521-4cf0-acd7-d449096fc5a0","resolution":{"observed_at":"2026-05-21T17:40:26.804827Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"57f9358a-5a6e-4ec3-a412-56c59a1b0e94","year":null},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":98,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:ce806e3df2892d094d09f97a7687f9a138e12190248554ef72319c7aded92bd1","observation_id":"2a0a6b16-6713-4c37-ae04-ffe32584bd6c","resolution":{"observed_at":"2026-05-21T17:40:26.716088Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Keep each reasoning step separate","venue":null,"work_id":"68f5adf1-00c6-4089-b995-7d423fb59e03","year":null},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":99,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:d53880f4c5406498339561774bf98d4cc606a6bb23431bb2d881db6cf4509a40","observation_id":"3ec45253-1802-4f4d-91ba-dad1b4181c1e","resolution":{"observed_at":"2026-05-21T17:40:26.707022Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"keypoint dis- tillation","venue":null,"work_id":"bf12469e-5ff9-418b-93a0-8dc21d63f7df","year":2017},"citing_paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution","version":2},"reference_index":100,"source":"pdf_text","source_observed_at":"2026-05-21T17:40:10.135567Z"},"links":{"citing_paper":"/paper/2512.05958"},"observation_digest":"sha256:d7bdce117ceae67937216bdc3f15e1da3ae7b45d01e11cda73cc3aaef61ef241","observation_id":"2d856c50-0ba8-44c3-9666-b6413adbf7f7","resolution":{"observed_at":"2026-05-21T17:40:26.780933Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2512.05958","last_updated":"2026-05-19T09:55:32Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-01T23:04:39.717145Z","submitted_at":"2025-12-05T18:54:21Z","title":"MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution"},"reference_resolution":{"displayed":100,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":2,"unresolved":6,"verified_exact":14,"verified_fuzzy":77},"total_outbound_references":100},"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":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"thesis":"As of 5 August 2026, this Paper Citation Record lists 100 of 100 outbound references and 2 inbound Pith citation observations for arXiv:2512.05958."}