{"as_of":"2026-08-16T07:46:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:82ecb3c315da7483158f808b7d7bc682979932fd3e8068f252f683a6810cd140","coverage":[{"denominator":56,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":56,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T20:44:26.845342Z","state":"measured"},{"denominator":60,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":60,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T22:50:33.352060Z","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":"2026-07-03T03:47:36.030349Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.12386","snapshot_observed_at":"2026-08-07T22:50:33.352060Z","title":"Data sharing with a generative ai competitor.arXiv preprint arXiv:2505.12386, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2502.09053","last_updated":"2025-08-05T02:23:31Z","snapshot_observed_at":"2026-08-15T19:20:27.516820Z","submitted_at":"2025-02-13T08:08:27Z","title":"Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers","version":2},"reference_index":198,"source":"pdf_text","source_observed_at":"2026-08-07T22:50:33.352060Z"},"links":{"cited_paper":"/paper/2505.12386","citing_paper":"/paper/2502.09053"},"observation_digest":"sha256:7187d1bf8b552a2ba137e07919521c07128dad915f4b685678bc3747d28f9225","observation_id":"e030f8fa-de77-4a0b-b73b-0992d814b300","resolution":{"observed_at":"2026-08-07T22:50:33.352060Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"cited_work":{"arxiv_id":"2505.12386","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.12386","snapshot_observed_at":"2026-07-03T03:47:36.030349Z","title":null,"venue":null,"work_id":"8922eb7b-0bd4-4d3e-ab64-47c49c05540c","year":2025},"citing_paper":{"arxiv_id":"2606.10053","last_updated":"2026-06-08T18:27:43Z","snapshot_observed_at":"2026-08-10T02:28:00.688047Z","submitted_at":"2026-06-08T18:27:43Z","title":"Stability in Competitive Search with Results Diversification","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-06-27T14:32:50.673303Z"},"links":{"cited_paper":"/paper/2505.12386","citing_paper":"/paper/2606.10053"},"observation_digest":"sha256:53a38d5215187c89ce610b147d3269791157e8c50308236e55d28cc83fe11e42","observation_id":"1414e2fb-b175-43ca-b53c-67968c36713b","resolution":{"observed_at":"2026-07-03T03:47:36.031828Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.12386","snapshot_observed_at":"2026-08-05T00:20:07.413086Z","title":"May 2025.doi:10.48550/arXiv.2505.12386","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.00823","last_updated":"2026-08-05T00:39:01Z","snapshot_observed_at":"2026-08-15T19:21:12.293886Z","submitted_at":"2026-08-01T19:01:45Z","title":"Freemium Is All You Need","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-05T00:20:07.413086Z"},"links":{"cited_paper":"/paper/2505.12386","citing_paper":"/paper/2608.00823"},"observation_digest":"sha256:bd45b4b94c860615b64a96d64f7e9f453249e155a0d43a1ca2b91d17acf0b8f4","observation_id":"5fde0afe-34a5-46ff-8de3-55ac295dd446","resolution":{"observed_at":"2026-08-05T00:20:07.413086Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.12386","snapshot_observed_at":"2026-08-06T04:24:46.075160Z","title":"May 2025.doi:10.48550/arXiv.2505.12386","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.00823","last_updated":"2026-08-05T00:39:01Z","snapshot_observed_at":"2026-08-15T19:21:12.293886Z","submitted_at":"2026-08-01T19:01:45Z","title":"Freemium Is All You Need","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T04:24:46.075160Z"},"links":{"cited_paper":"/paper/2505.12386","citing_paper":"/paper/2608.00823"},"observation_digest":"sha256:0a64f40c95ccafabeec4babd29339ba8c176a6e6e9393d656162610bcfb38991","observation_id":"29dc8f61-6444-4aa2-aabc-e5dad4796939","resolution":{"observed_at":"2026-08-06T04:24:46.075160Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2505.12386/citation-record","integrity":"/paper/2505.12386/integrity","json":"/paper/2505.12386/citation-record.json","paper":"/paper/2505.12386"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:44:27.643016Z","title":"A game-theoretic approach to recommendation systems with strategic content providers.Advances in Neural Information Processing Systems, 31, 2018","venue":null,"work_id":"8e1ea362-2b31-4d8e-8da6-77cedd8ffd44","year":2018},"citing_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T20:44:26.565578Z"},"links":{"citing_paper":"/paper/2505.12386"},"observation_digest":"sha256:24e474f50354fffbfb2a283d7184cdd94ef93e0ef2b0386bf40d0319e135dd61","observation_id":"81529622-a4d7-4288-955d-962cba767f62","resolution":{"observed_at":"2026-08-15T20:44:27.649132Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:44:27.626024Z","title":"Data, competition, and digital platforms.American Economic Review, 114(8):2553–2595, 2024","venue":null,"work_id":"83c38361-d186-4988-a8f2-a54cb4708f97","year":2024},"citing_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T20:44:26.571210Z"},"links":{"citing_paper":"/paper/2505.12386"},"observation_digest":"sha256:a36adfeedec45ae12c3107398953604d0161345df28a1e17cf168beaf7c18714","observation_id":"b133da59-57d1-460c-a2a0-cdb0b49a25c4","resolution":{"observed_at":"2026-08-15T20:44:27.631548Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:44:27.608940Z","title":"Truthful data acquisition via peer prediction.Advances in Neural Information Processing Systems, 33:18194–18204, 2020","venue":null,"work_id":"e1f9aa3b-3e60-4dad-9583-e70214b4f3de","year":2020},"citing_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T20:44:26.577184Z"},"links":{"citing_paper":"/paper/2505.12386"},"observation_digest":"sha256:23a63e4d5598fe0368a621d0891ea02d151f0c946a610337df05a7a0ae12e5d0","observation_id":"7c8f08bd-86df-443f-8ad4-6fa5e4538802","resolution":{"observed_at":"2026-08-15T20:44:27.614899Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:44:27.592363Z","title":"Ai partners.https://cloud.google.com/partners/ai","venue":null,"work_id":"a9433fc5-4766-4720-a4bb-c31efdf54e73","year":2025},"citing_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T20:44:26.582313Z"},"links":{"citing_paper":"/paper/2505.12386"},"observation_digest":"sha256:eed5a0840d387b75d4dbf711950198a8afe309844dc2320c9b7de77929b2791d","observation_id":"14945144-6f50-4ac5-a8f1-3138d7adad13","resolution":{"observed_at":"2026-08-15T20:44:27.597626Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.10271","last_updated":"2024-06-04T14:34:38Z","snapshot_observed_at":"2026-08-15T06:46:24.373292Z","submitted_at":"2024-04-16T03:59:33Z","title":"Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.10271","snapshot_observed_at":"2026-08-15T20:44:26.586898Z","title":"Holliday, Bob M","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T20:44:26.586898Z"},"links":{"cited_paper":"/paper/2404.10271","citing_paper":"/paper/2505.12386"},"observation_digest":"sha256:0e58e6befc538e7610d661bb17e36bee9e1a064c6b6df9447412321ddd69183c","observation_id":"830fd0ce-2f45-4956-8834-8f00275d02da","resolution":{"observed_at":"2026-08-15T20:44:26.586898Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:44:27.574129Z","title":"Dataannotation: Flexible remote work to train ai, 2025","venue":null,"work_id":"46437358-607d-4c5a-9307-2726c6bbc484","year":2025},"citing_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T20:44:26.592722Z"},"links":{"citing_paper":"/paper/2505.12386"},"observation_digest":"sha256:0c563c63a64233111f6e3ad3fe11dfe8274760d86460c8d4bc36068f06eade07","observation_id":"f009076b-ecb3-4dce-b81b-9f42f32eae15","resolution":{"observed_at":"2026-08-15T20:44:27.580788Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.12366","last_updated":"2024-04-18T17:49:02Z","snapshot_observed_at":"2026-08-13T13:20:06.641243Z","submitted_at":"2024-04-18T17:49:02Z","title":"Accounting for AI and Users Shaping One Another: The Role of Mathematical Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.12366","snapshot_observed_at":"2026-08-15T20:44:26.598412Z","title":"Accounting for ai and users shaping one another: The role of mathematical models.arXiv preprint arXiv:2404.12366, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T20:44:26.598412Z"},"links":{"cited_paper":"/paper/2404.12366","citing_paper":"/paper/2505.12386"},"observation_digest":"sha256:f2ac3552cfc89092e9943e5ec7386af330b0d269f22373b44c3c8664b94e5994","observation_id":"3b3ca028-1ef4-417a-932e-ab0ed5356e06","resolution":{"observed_at":"2026-08-15T20:44:26.598412Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:44:27.562156Z","title":"Mechanism design for large language models","venue":null,"work_id":"9a1c427b-6d25-49bb-8e22-3d4f2a7d5cc8","year":2024},"citing_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T20:44:26.603889Z"},"links":{"citing_paper":"/paper/2505.12386"},"observation_digest":"sha256:b826d97b837a7a48bf4fdc4d7d4190bbebcdae1839fe6a0ab9a890b65fbd96d2","observation_id":"fdefdbd7-7ba7-4e3c-912d-852305a42852","resolution":{"observed_at":"2026-08-15T20:44:27.566066Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.05187","last_updated":"2025-03-09T02:23:50Z","snapshot_observed_at":"2026-08-16T04:13:09.306136Z","submitted_at":"2024-06-07T18:12:04Z","title":"How to Strategize Human Content Creation in the Era of GenAI?","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.05187","snapshot_observed_at":"2026-08-15T20:44:26.608835Z","title":"How to strategize human content creation in the era of genai?arXiv preprint arXiv:2406.05187, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T20:44:26.608835Z"},"links":{"cited_paper":"/paper/2406.05187","citing_paper":"/paper/2505.12386"},"observation_digest":"sha256:600ee0d76d05b5b57a600dec745f5b97aa2b60cb353f61dcbbca9c11d8663326","observation_id":"1d1eb42c-470e-484a-b6db-1c06070e1ed9","resolution":{"observed_at":"2026-08-15T20:44:26.608835Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.00405","last_updated":"2025-05-01T08:53:16Z","snapshot_observed_at":"2026-08-16T04:40:47.077627Z","submitted_at":"2025-05-01T08:53:16Z","title":"Selling Information in Games with Externalities","version":1},"cited_work":{"arxiv_id":"2505.00405","doi":null,"metadata_source":"pith","pith_arxiv_id":"2505.00405","snapshot_observed_at":"2026-08-15T20:44:27.066867Z","title":"Selling Information in Games with Externalities","venue":"cs.GT","work_id":"bb2fba74-b642-4791-aa2a-a151a615142a","year":2025},"citing_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T20:44:26.613989Z"},"links":{"cited_paper":"/paper/2505.00405","citing_paper":"/paper/2505.12386"},"observation_digest":"sha256:470755f46a3e369f6eb01330bd6fa5f0f12cbe891e320f8cb335de0aeb48d78f","observation_id":"227ec070-7986-46d0-897c-e5ec17fac935","resolution":{"observed_at":"2026-08-15T20:44:27.071231Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:44:27.548020Z","title":"Game-theoretic mechanisms for eliciting accurate information","venue":null,"work_id":"7828c8a2-6688-418d-b2f6-b5b806b5259e","year":2022},"citing_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T20:44:26.619568Z"},"links":{"citing_paper":"/paper/2505.12386"},"observation_digest":"sha256:3021edef15a2c3625110797f43a496f6225fa519693d6862377070f4d919b720","observation_id":"db915d9e-2f17-464e-865d-53b5eddff5ea","resolution":{"observed_at":"2026-08-15T20:44:27.553503Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.01291","last_updated":"2025-03-05T22:43:15Z","snapshot_observed_at":"2026-08-15T19:45:52.696641Z","submitted_at":"2023-09-03T23:47:21Z","title":"Generative Social Choice","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.01291","snapshot_observed_at":"2026-08-15T20:44:26.624831Z","title":"Generative social choice.arXiv preprint arXiv:2309.01291, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T20:44:26.624831Z"},"links":{"cited_paper":"/paper/2309.01291","citing_paper":"/paper/2505.12386"},"observation_digest":"sha256:9f923beb744944fec14096c4d1c44822629b606b2ceb26e1a0063b0bb461b539","observation_id":"77c76bd7-6e59-4245-a166-833471d1258f","resolution":{"observed_at":"2026-08-15T20:44:26.624831Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:44:27.533659Z","title":"Prediction-sharing during training and inference","venue":null,"work_id":"316861e0-56f3-463f-a87e-ab1bf4aaf1d4","year":2024},"citing_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T20:44:26.629982Z"},"links":{"citing_paper":"/paper/2505.12386"},"observation_digest":"sha256:6acea4b03c0a5931ad10dbdb9afad83a893a1a6da4493bd5d940ce070ff1bca5","observation_id":"13fa44ce-67fb-491d-be7f-bd9e67621225","resolution":{"observed_at":"2026-08-15T20:44:27.538184Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:44:27.520032Z","title":"The value of data records.Review of Economic Studies, 91(2):1007–1038, 2024","venue":null,"work_id":"29444cdb-4792-4c57-ae24-68460bbca0b7","year":2024},"citing_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T20:44:26.634830Z"},"links":{"citing_paper":"/paper/2505.12386"},"observation_digest":"sha256:f5f70e26c12cc4a489590767c276a923718b14fc9ff499cea7c2e7485076dd74","observation_id":"aade8dd1-79b6-4bbe-80d0-679bf9786dfd","resolution":{"observed_at":"2026-08-15T20:44:27.525034Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:44:27.506757Z","title":"Pareto-improving data-sharing","venue":null,"work_id":"2dd7951c-2309-4320-b017-73578bf2a5fa","year":2022},"citing_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T20:44:26.639390Z"},"links":{"citing_paper":"/paper/2505.12386"},"observation_digest":"sha256:6e884c8f4fe209fa7706d21c004626b17aa1ad3451202f6c94973a722ed76ec7","observation_id":"3e345872-d53f-4e64-9693-0488bd85789c","resolution":{"observed_at":"2026-08-15T20:44:27.511003Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:44:27.492507Z","title":"Coopetition against an amazon.Journal of Artificial Intelligence Research, 76:1077–1116, 2023","venue":null,"work_id":"264076bf-6160-4246-831a-a44d794b1ee2","year":2023},"citing_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-15T20:44:26.644811Z"},"links":{"citing_paper":"/paper/2505.12386"},"observation_digest":"sha256:486c23f119e98c92b5fab5824614bfddfb700c143e1b7f2045575d81f6b29733","observation_id":"fa7bc68d-c53d-47d0-9d45-14f27a5f01b8","resolution":{"observed_at":"2026-08-15T20:44:27.497107Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.00285","last_updated":"2023-02-01T07:33:18Z","snapshot_observed_at":"2026-08-13T12:53:41.393006Z","submitted_at":"2023-02-01T07:33:18Z","title":"Selling Data to a Competitor","version":1},"cited_work":{"arxiv_id":"2302.00285","doi":null,"metadata_source":"pith","pith_arxiv_id":"2302.00285","snapshot_observed_at":"2026-08-15T20:44:27.037841Z","title":"Selling Data to a Competitor","venue":"cs.GT","work_id":"2f1aab89-19dc-4569-b33c-d503c75080e1","year":2023},"citing_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-15T20:44:26.649566Z"},"links":{"cited_paper":"/paper/2302.00285","citing_paper":"/paper/2505.12386"},"observation_digest":"sha256:e353e6619b11d93c2f879db2ecb0ff50270bcb5f1e90924baf4f44ff0b7ed04c","observation_id":"fe690cf2-1508-4c66-afd0-236e6d91c4fe","resolution":{"observed_at":"2026-08-15T20:44:27.042267Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.14143","last_updated":"2025-02-19T23:03:21Z","snapshot_observed_at":"2026-08-15T18:43:58.850674Z","submitted_at":"2025-02-19T23:03:21Z","title":"Multi-Agent Risks from Advanced AI","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.14143","snapshot_observed_at":"2026-08-15T20:44:26.654732Z","title":"Multi-agent risks from advanced ai.arXiv preprint arXiv:2502.14143, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-15T20:44:26.654732Z"},"links":{"cited_paper":"/paper/2502.14143","citing_paper":"/paper/2505.12386"},"observation_digest":"sha256:bc446945bbd96cb23908fe189d41dafd4c8ec51fb1dfb8294101db926e297326","observation_id":"3aaec826-33e6-459f-9f51-883d9ec4564b","resolution":{"observed_at":"2026-08-15T20:44:26.654732Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:44:27.478397Z","title":"Performative power.Advances in Neural Information Processing Systems, 35:22969–22981, 2022","venue":null,"work_id":"07128a31-129f-491a-95d0-a8cfd250d81c","year":2022},"citing_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-15T20:44:26.659327Z"},"links":{"citing_paper":"/paper/2505.12386"},"observation_digest":"sha256:6bf8936f2605f802a14312690b18398b4244b150e06eb16c178a5fb8e621dcdb","observation_id":"bf6b0967-69fd-4f28-986f-d229e0a10935","resolution":{"observed_at":"2026-08-15T20:44:27.483260Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.08012","last_updated":"2024-02-14T21:26:09Z","snapshot_observed_at":"2026-08-13T12:43:42.918277Z","submitted_at":"2023-02-16T00:57:49Z","title":"Equilibrium of Data Markets with Externality","version":3},"cited_work":{"arxiv_id":"2302.08012","doi":null,"metadata_source":"pith","pith_arxiv_id":"2302.08012","snapshot_observed_at":"2026-08-15T20:44:27.007989Z","title":"Equilibrium of Data Markets with Externality","venue":"cs.GT","work_id":"5cf4db6f-728c-4dc8-95bf-b15776665eae","year":2023},"citing_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-15T20:44:26.665134Z"},"links":{"cited_paper":"/paper/2302.08012","citing_paper":"/paper/2505.12386"},"observation_digest":"sha256:5ee47c8714cb8f675e02a69bbd9e02363059d34d5a227e84cabfa3926cd8649b","observation_id":"47b0e18c-5dd7-4084-8da0-c4d74b70de80","resolution":{"observed_at":"2026-08-15T20:44:27.012449Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.13102","last_updated":"2023-07-06T07:24:25Z","snapshot_observed_at":"2026-08-13T15:15:52.911028Z","submitted_at":"2022-06-27T08:16:59Z","title":"Modeling Content Creator Incentives on Algorithm-Curated Platforms","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.13102","snapshot_observed_at":"2026-08-15T20:44:26.671195Z","title":"Modeling content creator incentives on algorithm-curated platforms.arXiv preprint arXiv:2206.13102, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-15T20:44:26.671195Z"},"links":{"cited_paper":"/paper/2206.13102","citing_paper":"/paper/2505.12386"},"observation_digest":"sha256:39a516bcb39ecbdc1cd4294ad6bb2d6b8c3d3c3e8e2559bcbaf31baf2411b4c5","observation_id":"c317a870-4317-4d59-8a17-871051ac7870","resolution":{"observed_at":"2026-08-15T20:44:26.671195Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.13489","last_updated":"2023-12-11T17:49:39Z","snapshot_observed_at":"2026-08-13T15:15:28.774383Z","submitted_at":"2022-06-27T17:52:16Z","title":"Supply-Side Equilibria in Recommender Systems","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.13489","snapshot_observed_at":"2026-08-15T20:44:26.676527Z","title":"Supply-side equilibria in recommender systems","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-15T20:44:26.676527Z"},"links":{"cited_paper":"/paper/2206.13489","citing_paper":"/paper/2505.12386"},"observation_digest":"sha256:9b0607cee3bf74fa7cfd7af4b8c9e893a6c463cd2e79afc96165d2703ffa676e","observation_id":"c52c1e6a-8079-4c7d-b32d-6a37dfa9ab2a","resolution":{"observed_at":"2026-08-15T20:44:26.676527Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:44:27.464061Z","title":"Competition, alignment, and equilibria in digital marketplaces","venue":null,"work_id":"ba38c320-928c-496e-a5f7-9643399f1883","year":2023},"citing_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-15T20:44:26.681401Z"},"links":{"citing_paper":"/paper/2505.12386"},"observation_digest":"sha256:2c7fe9fafc272228602d1567d3631e73fd8240d4e3569178e2b5569b8b1feec0","observation_id":"bed34269-bf2c-434b-8c95-2bcae8e2d0e0","resolution":{"observed_at":"2026-08-15T20:44:27.469558Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:44:27.449504Z","title":"Fine-tuning games: Bargaining and adaptation for general-purpose models","venue":null,"work_id":"2cebab96-73fb-44f6-967e-1c25b8190224","year":2024},"citing_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-15T20:44:26.687226Z"},"links":{"citing_paper":"/paper/2505.12386"},"observation_digest":"sha256:d9293b003e8591a7809b87845415de48010d16cb6cb71744f87cbc4dbfa8d500","observation_id":"3d33fa7b-8dda-4412-883a-4d8672fb069c","resolution":{"observed_at":"2026-08-15T20:44:27.454199Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:44:27.435451Z","title":"Output contract.https://www.law.cornell.edu/wex/output_contract,","venue":null,"work_id":"9ab789f1-911f-470d-b7c3-9cc79a4f261e","year":null},"citing_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-15T20:44:26.691638Z"},"links":{"citing_paper":"/paper/2505.12386"},"observation_digest":"sha256:8e16246b78010b37503ff439ef9f5120091676ea02fe2ed7aa35391e6686a443","observation_id":"c0f41ba6-29e2-4c4b-b7a2-12713042c9a9","resolution":{"observed_at":"2026-08-15T20:44:27.440127Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.16695","last_updated":"2025-07-30T05:26:45Z","snapshot_observed_at":"2026-08-13T11:32:44.064535Z","submitted_at":"2023-05-26T07:31:30Z","title":"The Search for Stability: Learning Dynamics of Strategic Publishers with Initial Documents","version":6},"cited_work":{"arxiv_id":"2305.16695","doi":null,"metadata_source":"pith","pith_arxiv_id":"2305.16695","snapshot_observed_at":"2026-08-15T20:44:26.961494Z","title":"The Search for Stability: Learning Dynamics of Strategic Publishers with Initial Documents","venue":"cs.GT","work_id":"fef121dc-dbee-46af-b54e-d5111d476d76","year":2023},"citing_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-15T20:44:26.702953Z"},"links":{"cited_paper":"/paper/2305.16695","citing_paper":"/paper/2505.12386"},"observation_digest":"sha256:cf50270962dfae7c8d8e7f32d94e470528fb4e48c8a5e81f47485b4c83496078","observation_id":"5f04671f-45d2-48c4-ba4a-689d18a36ced","resolution":{"observed_at":"2026-08-15T20:44:26.967842Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:44:27.411150Z","title":"On the convergence of no- regret dynamics in information retrieval games with proportional ranking functions","venue":null,"work_id":"d3519dcb-1650-4828-ab0d-4222b7bf5e59","year":2025},"citing_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-15T20:44:26.707931Z"},"links":{"citing_paper":"/paper/2505.12386"},"observation_digest":"sha256:5ee13d7299879b811e1c4951c492f4b2352d1b0c996f031f80173c32f38b0c25","observation_id":"829f1673-f206-4c8c-b5d7-399ec656789d","resolution":{"observed_at":"2026-08-15T20:44:27.415724Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:44:27.395809Z","title":"Data partnerships","venue":null,"work_id":"30199196-1017-441d-8b7b-d3a8402a1dbc","year":2025},"citing_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-15T20:44:26.712671Z"},"links":{"citing_paper":"/paper/2505.12386"},"observation_digest":"sha256:e1dc6264fec9c88857319671f9c6022bacd927f311a0d2cd0ea4546686eaa14b","observation_id":"1f885186-4bd6-4b2e-ad6a-ff8fd0673b7e","resolution":{"observed_at":"2026-08-15T20:44:27.401000Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:44:27.382265Z","title":"Openai and reddit partnership","venue":null,"work_id":"f30b8751-bf69-4cb3-806c-b026382f4a5b","year":2025},"citing_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-15T20:44:26.717244Z"},"links":{"citing_paper":"/paper/2505.12386"},"observation_digest":"sha256:28544496d66be6b5c2f2ebd000985156353ea7a365158e89f509a2f96103e107","observation_id":"b407c6e3-1352-4cac-8b35-db64ad495872","resolution":{"observed_at":"2026-08-15T20:44:27.386426Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:44:27.368919Z","title":"Instruction-following models","venue":null,"work_id":"e9148c74-a175-422c-9a2c-d32c2feda5ae","year":2023},"citing_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-15T20:44:26.721433Z"},"links":{"citing_paper":"/paper/2505.12386"},"observation_digest":"sha256:3d09d819ed5141e4ef0430404f4a13cfaeeaabbbe58f634c87eb07093c090c90","observation_id":"3fcc8c36-39c7-43ce-8ee7-2fbf440d2b7d","resolution":{"observed_at":"2026-08-15T20:44:27.373081Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:44:27.354730Z","title":"Outlier: Help build the world’s most advanced generative ai, 2025","venue":null,"work_id":"802deb2c-e01f-44ee-8009-944900076655","year":2025},"citing_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-15T20:44:26.725792Z"},"links":{"citing_paper":"/paper/2505.12386"},"observation_digest":"sha256:273182686916d8e4160ad91cac9dc67736e30f0ae0720cb041f4e55e62497da9","observation_id":"6e7f0f40-6caa-4839-8208-a8ed309c7233","resolution":{"observed_at":"2026-08-15T20:44:27.359849Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:44:26.731200Z","title":"Competing with big data.The Journal of Industrial Economics, 69(4):967–1008, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-15T20:44:26.731200Z"},"links":{"citing_paper":"/paper/2505.12386"},"observation_digest":"sha256:c3d927bf24820c8fe1f2c0ebacd327ebfe86c2143bfeb61f1e57e865217ad6c7","observation_id":"35894098-b295-4179-8cc3-67e614489b23","resolution":{"observed_at":"2026-08-15T20:44:26.731200Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.08610","last_updated":"2026-06-11T12:13:20Z","snapshot_observed_at":"2026-08-11T17:40:39.100401Z","submitted_at":"2024-12-11T18:34:31Z","title":"Competition and Diversity in Generative AI","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.08610","snapshot_observed_at":"2026-08-15T20:44:26.735597Z","title":"Competition and diversity in generative ai.arXiv preprint arXiv:2412.08610, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-15T20:44:26.735597Z"},"links":{"cited_paper":"/paper/2412.08610","citing_paper":"/paper/2505.12386"},"observation_digest":"sha256:a5f53e3b40aa8befce7e8a28256301b9a0b5765355f40fc4c202842d9db20ce2","observation_id":"83563bed-e602-4c95-bc37-64dff2633124","resolution":{"observed_at":"2026-08-15T20:44:26.735597Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.11981","last_updated":"2026-05-12T17:22:47Z","snapshot_observed_at":"2026-08-06T06:58:39.938803Z","submitted_at":"2025-02-17T16:22:46Z","title":"Welfare as a Guiding Principle for Machine Learning -- From Compass, to Lens, to Roadmap","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.11981","snapshot_observed_at":"2026-08-15T20:44:26.740587Z","title":"Machine learning should maximize welfare, not (only) accuracy.arXiv preprint arXiv:2502.11981, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-15T20:44:26.740587Z"},"links":{"cited_paper":"/paper/2502.11981","citing_paper":"/paper/2505.12386"},"observation_digest":"sha256:437cc46af7f50cf1b22d013f864690ffd19db7cee9bde305bce26befc4570d36","observation_id":"d136e379-4fd4-475a-a0a2-861b17345a17","resolution":{"observed_at":"2026-08-15T20:44:26.740587Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:44:27.331053Z","title":"Privacy and fairness in machine learning: A survey.IEEE Transactions on Artificial Intelligence, 2025","venue":null,"work_id":"ce7923e0-7876-4704-aafc-0bb0baadba11","year":2025},"citing_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-15T20:44:26.747737Z"},"links":{"citing_paper":"/paper/2505.12386"},"observation_digest":"sha256:c5c213448e89daef36979dd4eb44c028215214cacf26d8fcdc2359ad64ba37f3","observation_id":"1394b659-ed4b-4cfc-b5ff-79630583f36d","resolution":{"observed_at":"2026-08-15T20:44:27.336296Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:44:27.316657Z","title":"Incentives in private collaborative machine learning.Advances in Neural Information Processing Systems, 36:7555–7593, 2023","venue":null,"work_id":"f33836e7-7e4c-4dbb-8829-7076d9c72394","year":2023},"citing_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-15T20:44:26.753781Z"},"links":{"citing_paper":"/paper/2505.12386"},"observation_digest":"sha256:56d5343b34794ca0c4f049808bc24ae26c1cc7e94262c4a01a639166e5bb77fb","observation_id":"2e3085fa-2426-4429-b415-5c72bd4daa8b","resolution":{"observed_at":"2026-08-15T20:44:27.321164Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:44:26.758041Z","title":"Braess’s paradox of generative ai","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-15T20:44:26.758041Z"},"links":{"citing_paper":"/paper/2505.12386"},"observation_digest":"sha256:c09f08368418047f05140331bd72c0b3740bc82f02ee781fa077c6bd83adb139","observation_id":"c651ff36-1142-49ac-bd9f-9dd8df4700fb","resolution":{"observed_at":"2026-08-15T20:44:26.758041Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.00729","last_updated":"2025-06-08T07:20:05Z","snapshot_observed_at":"2026-08-15T13:55:43.409276Z","submitted_at":"2025-02-02T09:27:02Z","title":"Selective Response Strategies for GenAI","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.00729","snapshot_observed_at":"2026-08-15T20:44:26.762142Z","title":"Selectiveresponsestrategiesforgenai.arXiv preprint arXiv:2502.00729, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-15T20:44:26.762142Z"},"links":{"cited_paper":"/paper/2502.00729","citing_paper":"/paper/2505.12386"},"observation_digest":"sha256:642b70fe35aecf6f2bbba8ce40d2857009ba9db0c8b80dedba1a3d98dd3c4581","observation_id":"75d63529-0c71-4a51-be75-e3c850f8607f","resolution":{"observed_at":"2026-08-15T20:44:26.762142Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:44:27.293636Z","title":"Strategic data sharing between competitors.Advances in Neural Information Processing Systems, 36:16483–16514, 2023","venue":null,"work_id":"747c4e86-153f-40c9-a984-fb67305e430d","year":2023},"citing_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-15T20:44:26.767128Z"},"links":{"citing_paper":"/paper/2505.12386"},"observation_digest":"sha256:1280b9fc00557f8ee7cbaa7ff2a4c97744c76ab8f4894c97e911558666fa8c85","observation_id":"747c17c2-fa47-4a3f-adc4-e89a04f2c7a9","resolution":{"observed_at":"2026-08-15T20:44:27.298391Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:44:27.280166Z","title":"Data distribution valuation.Advances in Neural Information Processing Systems, 37:2407–2448, 2024","venue":null,"work_id":"1cdfcb7d-1412-48d4-9251-df191361e3f5","year":2024},"citing_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-15T20:44:26.772936Z"},"links":{"citing_paper":"/paper/2505.12386"},"observation_digest":"sha256:7caab9fcda9f0bc1cee2c72b9b07c843b08a00912afafd1eb0ca8a453049d3ae","observation_id":"52c9827d-e175-4eec-afb0-15a937a5bb09","resolution":{"observed_at":"2026-08-15T20:44:27.284650Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:44:27.267494Z","title":null,"venue":null,"work_id":"a23db3b0-820c-4e53-bac0-bd87e7923a1d","year":2023},"citing_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-15T20:44:26.777888Z"},"links":{"citing_paper":"/paper/2505.12386"},"observation_digest":"sha256:4d1145689d66bdb2bf806c76dbe71eb901811e0f78d52c3c74f829ae769954f1","observation_id":"d7f33975-41f1-4483-8de1-a21d892a99fe","resolution":{"observed_at":"2026-08-15T20:44:27.271902Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.15467","last_updated":"2024-02-23T17:56:41Z","snapshot_observed_at":"2026-08-13T04:11:57.053087Z","submitted_at":"2024-02-23T17:56:41Z","title":"Human vs. Generative AI in Content Creation Competition: Symbiosis or Conflict?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.15467","snapshot_observed_at":"2026-08-15T20:44:26.782382Z","title":"Human vs","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-15T20:44:26.782382Z"},"links":{"cited_paper":"/paper/2402.15467","citing_paper":"/paper/2505.12386"},"observation_digest":"sha256:0b02af9c04ddffd0d764433a41ccce1391af0895168b1dd96f6a9fd3f2cee5cd","observation_id":"e94f0190-c8eb-4bfa-ab81-cec621a48129","resolution":{"observed_at":"2026-08-15T20:44:26.782382Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:44:27.255111Z","title":"Rethinking incentives in recommender systems: Are monotone rewards always beneficial?Advances in Neural Information Processing Systems, 36, 2024","venue":null,"work_id":"91a07bc6-24d5-4460-b883-d5660db30115","year":2024},"citing_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-15T20:44:26.786893Z"},"links":{"citing_paper":"/paper/2505.12386"},"observation_digest":"sha256:15d2e72af41cd06a46907ce1c6a28b15b0cad186018449888642ba320844c3b2","observation_id":"9924ef6e-9a42-45b8-8db3-6705e109d371","resolution":{"observed_at":"2026-08-15T20:44:27.259304Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:44:27.243494Z","title":"User welfare optimization in recommender systems with competing content creators","venue":null,"work_id":"9ddedaf6-4b36-4fc6-9bda-466f4f826ea1","year":2024},"citing_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-15T20:44:26.790754Z"},"links":{"citing_paper":"/paper/2505.12386"},"observation_digest":"sha256:2475fa9426c96f1f08a8b1e3fc88bc5b196bde70b999600bb487647a5aba7f3c","observation_id":"50b8cc98-cfe0-4e46-afd1-41f6d16ffde4","resolution":{"observed_at":"2026-08-15T20:44:27.247506Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.07267","last_updated":"2024-11-09T15:09:24Z","snapshot_observed_at":"2026-08-15T03:26:58.041439Z","submitted_at":"2024-11-09T15:09:24Z","title":"A Survey on Data Markets","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.07267","snapshot_observed_at":"2026-08-15T20:44:26.795113Z","title":"A survey on data markets.arXiv preprint arXiv:2411.07267, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-15T20:44:26.795113Z"},"links":{"cited_paper":"/paper/2411.07267","citing_paper":"/paper/2505.12386"},"observation_digest":"sha256:d05c24b03b04e2a5a6a210baec927abb705fe2ff06236398f9b79aeafd35bbd8","observation_id":"a2c72517-5183-461a-87aa-e83bbe7a688e","resolution":{"observed_at":"2026-08-15T20:44:26.795113Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:44:27.231342Z","title":null,"venue":null,"work_id":"48b7f9ca-43ce-4a8d-b049-357224aa60cc","year":null},"citing_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-15T20:44:26.801102Z"},"links":{"citing_paper":"/paper/2505.12386"},"observation_digest":"sha256:c2ecaa82c7ca6d352eb7f22ff801fbecbc880759e5efcb5d33b0132e9124b5b3","observation_id":"35df0935-3e26-49a3-8811-5d876fd5363a","resolution":{"observed_at":"2026-08-15T20:44:27.235539Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:44:27.218516Z","title":null,"venue":null,"work_id":"3248085c-35a8-48b4-8727-edcc0bb77ce6","year":null},"citing_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-15T20:44:26.805510Z"},"links":{"citing_paper":"/paper/2505.12386"},"observation_digest":"sha256:789f6db4d0ac01343f5b6cab5a70e61f3a2d259aa7e3ccb84f999d0690e00bf0","observation_id":"1ba15d99-409b-46dd-b7bc-8c60e1b2b1a3","resolution":{"observed_at":"2026-08-15T20:44:27.222621Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:44:27.204878Z","title":null,"venue":null,"work_id":"aa796b80-3755-4159-8271-ed59c1a3d9ca","year":null},"citing_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-15T20:44:26.810442Z"},"links":{"citing_paper":"/paper/2505.12386"},"observation_digest":"sha256:6819a31c148339df6934e716948329459176c52cb0b9e30a07a9b9fdc51f4361","observation_id":"767662c9-1c8d-487a-bca6-a78ca9ec2391","resolution":{"observed_at":"2026-08-15T20:44:27.209365Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:44:27.190454Z","title":"•If(α eq,xeq) = (RF,1−R F )then:","venue":null,"work_id":"5af2581f-1dab-452c-91bd-569ba4fce437","year":null},"citing_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-15T20:44:26.814994Z"},"links":{"citing_paper":"/paper/2505.12386"},"observation_digest":"sha256:91259c015bf9ce55c7bb2c7f1f12dab4216c8d902b2772e127b2207c37292db5","observation_id":"210d6652-1bd8-4ae2-98d0-21cde9f7b928","resolution":{"observed_at":"2026-08-15T20:44:27.195356Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:44:27.176239Z","title":null,"venue":null,"work_id":"b7172fe6-6b43-4b3d-bafa-8fd444ee7059","year":null},"citing_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-15T20:44:26.819544Z"},"links":{"citing_paper":"/paper/2505.12386"},"observation_digest":"sha256:eb6780febfae0d55b1c0ce80be5cce21d407ecb72a73057a3f206f74632b68f1","observation_id":"61ec9994-7944-40a1-8f32-a53d3bb9029e","resolution":{"observed_at":"2026-08-15T20:44:27.180981Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:44:27.161187Z","title":"We get the following inequality γ(1−R F )rf +m≥0 By extractingm, we get thatm≥−γr f","venue":null,"work_id":"f89643ec-665f-4bdb-95c5-41e36de7f39f","year":null},"citing_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-15T20:44:26.824914Z"},"links":{"citing_paper":"/paper/2505.12386"},"observation_digest":"sha256:bdbc0c1fd10a70634f722b9b2da2d9063b493960a9abc084a87242f288793e06","observation_id":"e58f5a04-6152-4569-9fa1-4209fb85677d","resolution":{"observed_at":"2026-08-15T20:44:27.165687Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:44:27.147527Z","title":null,"venue":null,"work_id":"81a026ed-afb9-4152-8154-6abf6a9ec9ae","year":null},"citing_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-15T20:44:26.830661Z"},"links":{"citing_paper":"/paper/2505.12386"},"observation_digest":"sha256:c0adc0a9f1593ff2e906da35f601899305f849c2553ad037a7b090fb4c8d1af2","observation_id":"b702953d-e068-4111-9e2b-0fdb604f3407","resolution":{"observed_at":"2026-08-15T20:44:27.151933Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:44:27.133146Z","title":"Notice that from the condition0≤R F≤ 1, it holds thatm∈ [−γrf,γrf ], and therefore, there is nom under our conditions that induces a Pareto-improving equilibrium","venue":null,"work_id":"617646ff-11ef-41b6-aee0-a4eca75e1f36","year":null},"citing_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-15T20:44:26.834993Z"},"links":{"citing_paper":"/paper/2505.12386"},"observation_digest":"sha256:96651646bfaf37d25a8c96239b9a3ec3f2329509bfd0e7c1cd83f71504537bf2","observation_id":"5d39e09f-e607-4451-8185-94cfa09a1ed6","resolution":{"observed_at":"2026-08-15T20:44:27.137981Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:44:27.118851Z","title":"From our conditions onm and our condition forRF∈ [0, 1]we get that mmin is the minimal value in[−rf,m−]","venue":null,"work_id":"3244dd05-0846-4828-b1f3-f01bf755a088","year":null},"citing_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-15T20:44:26.839595Z"},"links":{"citing_paper":"/paper/2505.12386"},"observation_digest":"sha256:0bca0eaa3c35802b4229ef22d7cb1d9737a63c6c2d6b8567150463de9263a4b9","observation_id":"219880f1-7937-4754-b079-739938e3e7bf","resolution":{"observed_at":"2026-08-15T20:44:27.124060Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:44:27.104733Z","title":"The maximalm =mmax =m− is optimal only if it holds thatRF (1−λ)+λ≥R G","venue":null,"work_id":"61222e83-22fd-45c7-8296-54f32c1c10af","year":null},"citing_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-15T20:44:26.845342Z"},"links":{"citing_paper":"/paper/2505.12386"},"observation_digest":"sha256:31ada71bb3a2e2fa3a6f5870e1121b687e26f5fdd161d852fc55a3e634e83ce0","observation_id":"ecf793b3-7a6a-45fb-8d80-62fed6b6e08d","resolution":{"observed_at":"2026-08-15T20:44:27.109382Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:44:26.697512Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-15T20:44:26.697512Z"},"links":{"citing_paper":"/paper/2505.12386"},"observation_digest":"sha256:8216d521172b966c49ff4eb410100333f0ec926b87e0069b27998ee75cdcc3b6","observation_id":"c45c856c-a7be-47fd-9e57-9e121bfb6229","resolution":{"observed_at":"2026-08-15T20:44:26.697512Z","resolver_source":null,"status":"parse_uncertain"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2505.12386","last_updated":"2025-05-18T12:22:37Z","latest_version":1,"primary_category":"cs.GT","snapshot_observed_at":"2026-08-15T20:32:40.437153Z","submitted_at":"2025-05-18T12:22:37Z","title":"Data Sharing with a Generative AI Competitor"},"reference_resolution":{"displayed":56,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":1,"unresolved":20,"verified_exact":4,"verified_fuzzy":31},"total_outbound_references":56},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 4 inbound Pith citation observations for arXiv:2505.12386."}