{"as_of":"2026-08-15T00:45:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0aaf1c8205efc90d796d5a6478bb1ef79752c4e2e279aeb644d9157c7ccb4fb3","coverage":[{"denominator":87,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":87,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:14:13.390220Z","state":"measured"},{"denominator":91,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":91,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+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":"2026-08-07T22:50:33.121821Z","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":"2026-07-09T08:16:05.727273Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.23842","snapshot_observed_at":"2026-08-07T22:50:33.121821Z","title":"Document valuation in llm summaries: A cluster shapley approach","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2502.09053","last_updated":"2025-08-05T02:23:31Z","snapshot_observed_at":"2026-08-08T10:12:47.586452Z","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":122,"source":"pdf_text","source_observed_at":"2026-08-07T22:50:33.121821Z"},"links":{"cited_paper":"/paper/2505.23842","citing_paper":"/paper/2502.09053"},"observation_digest":"sha256:e991965f6050efeff5743daff26d823329d548347ef6d7098180b67bb990faa7","observation_id":"1d292eef-b3c3-4e0d-9a31-4b50797bb978","resolution":{"observed_at":"2026-08-07T22:50:33.121821Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.23842","snapshot_observed_at":"2026-08-03T16:59:16.129143Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2512.15765","last_updated":"2026-07-03T14:34:08Z","snapshot_observed_at":"2026-08-11T01:11:44.419135Z","submitted_at":"2025-12-12T10:13:54Z","title":"Shapley-based Data Valuation for LLM Alignment via Sequential Preference Optimization","version":3},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-03T16:59:16.129143Z"},"links":{"cited_paper":"/paper/2505.23842","citing_paper":"/paper/2512.15765"},"observation_digest":"sha256:1893fcc2880d24a665c50f38517dd80c887a371e7a05704da7554886040fccd3","observation_id":"335bd411-e139-449b-94ea-69ca935dd0fc","resolution":{"observed_at":"2026-08-03T16:59:16.129143Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"cited_work":{"arxiv_id":"2505.23842","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.23842","snapshot_observed_at":"2026-07-10T01:18:45.447774Z","title":"Fair document valuation in llm summaries via shapley values,","venue":null,"work_id":"1a322572-e970-475e-be5b-809d41fcec0b","year":2025},"citing_paper":{"arxiv_id":"2607.07529","last_updated":"2026-07-08T15:23:30Z","snapshot_observed_at":"2026-08-14T22:27:19.474891Z","submitted_at":"2026-07-08T15:23:30Z","title":"FedMark-FM: Auditable, Risk-Adjusted Data Markets for Federated Foundation-Model Adaptation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-07-09T08:11:23.216344Z"},"links":{"cited_paper":"/paper/2505.23842","citing_paper":"/paper/2607.07529"},"observation_digest":"sha256:0f70611e777aa7d7010ad69ae7955b10001dfb4f4977ae47d6f467980faad835","observation_id":"b4cd144d-1455-4422-acea-cd6528c39292","resolution":{"observed_at":"2026-07-10T01:18:45.447774Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.23842","snapshot_observed_at":"2026-08-01T17:38:10.738963Z","title":"arXiv preprint arXiv:2505.23842 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.17607","last_updated":"2026-08-05T04:57:10Z","snapshot_observed_at":"2026-08-14T02:50:44.345388Z","submitted_at":"2026-07-20T06:53:59Z","title":"Optimizing the Preconditioner: A Black-box Online-to-Nonconvex Conversion with Static Regret Minimization Oracles","version":1},"reference_index":214,"source":"arxiv_source","source_observed_at":"2026-08-01T17:38:10.738963Z"},"links":{"cited_paper":"/paper/2505.23842","citing_paper":"/paper/2607.17607"},"observation_digest":"sha256:3e27b9e779eb35f46d17e6e570e50c796b1212a0e5de54c9fc6325ce4e0ef2be","observation_id":"193ca6cc-1871-4469-9b85-56f83cf7af31","resolution":{"observed_at":"2026-08-01T17:38:10.738963Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2505.23842/citation-record","integrity":"/paper/2505.23842/integrity","json":"/paper/2505.23842/citation-record.json","paper":"/paper/2505.23842"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:14:03.455778Z","title":"AI/ML API inference pricing, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:03.455778Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:5827b287cd4521c5c30765b24ce43acdd81cfbe169d1eb7d84b7521e17537ea2","observation_id":"8f275dbc-9dae-4d26-8ba0-8295db5bcead","resolution":{"observed_at":"2026-08-07T13:14:03.455778Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:14:03.528845Z","title":"How can publishers collaborate and compete with news aggregators? Journal of Marketing Research, 60 0 (6): 0 1114--1134, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:03.528845Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:f560cd44d35745c90aa67f6bf6b4610272fa1c7cab2bc29c736f99f05fbd49ff","observation_id":"9ba3c699-b0e2-4b53-be4a-6f36583eb5ea","resolution":{"observed_at":"2026-08-07T13:14:03.528845Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:14:03.645125Z","title":"The impact of aggregators on internet news consumption","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:03.645125Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:cc80779f4f81a1592cf54768c1f15d08bfc7885fa7cf262feeed551dceb001aa","observation_id":"5f23821c-57f1-4430-a212-d5ae3da45f16","resolution":{"observed_at":"2026-08-07T13:14:03.645125Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:14:03.720251Z","title":"Approximating power indices: theoretical and empirical analysis","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:03.720251Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:81ba4397bf635cea6c6f411f7668f094d60347f2948b1efe6cdb0ec4f1197d79","observation_id":"90cf9969-203e-462f-b985-d00d3a9eea30","resolution":{"observed_at":"2026-08-07T13:14:03.720251Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:14:03.804485Z","title":"Relatif: Identifying explanatory training samples via relative influence","venue":null,"work_id":null,"year":1909},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:03.804485Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:fb8d2ee180bed38c53a098456096fc81407133d4b2e92d8a2a73c506d47cf64f","observation_id":"e1a52ea7-260b-4b15-895e-ec9a2c6297e3","resolution":{"observed_at":"2026-08-07T13:14:03.804485Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:14:03.941428Z","title":"The creator economy: Managing ecosystem supply, revenue sharing, and platform design","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:03.941428Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:2654499d6c4d3b6d348fff551ee2809f21f7924b8f2f528a80860c9360a300d4","observation_id":"7858364e-19b0-4eb6-81d7-497702da3588","resolution":{"observed_at":"2026-08-07T13:14:03.941428Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:14:04.093004Z","title":"What do news aggregators do? evidence from google news in spain and germany","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:04.093004Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:233ebaebef92770d5700182e3ece9860ba9417e1edc03909e493b1427773bb65","observation_id":"4debd961-6ac4-4ec1-9f39-c3e14ffc51db","resolution":{"observed_at":"2026-08-07T13:14:04.093004Z","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":"2026-08-07T13:14:24.486158Z","title":"Will google’s ai overview kill web traffic?, January 2025","venue":null,"work_id":"e8126f94-61a4-4e52-a291-ec28d7c66d35","year":2025},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:04.251076Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:0f668ee1d517409c0a35b6b779973c22055a4e262806781d0f332d1a62559f4c","observation_id":"bba33f68-21d1-425f-8006-8e81dba2e31e","resolution":{"observed_at":"2026-08-07T13:14:24.546030Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T13:14:24.336281Z","title":"Polynomial calculation of the shapley value based on sampling","venue":null,"work_id":"2bd39a9f-6a2d-47c5-a56f-36d739d68309","year":2009},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:04.410566Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:eef7aa14f302cac79221ea682a9157257587b0379de1aec86da7171ad98df4f5","observation_id":"cade6870-6f83-471b-83c6-f279f30dd5f1","resolution":{"observed_at":"2026-08-07T13:14:24.395845Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T13:14:24.188424Z","title":"How i became yelp elite in 48 days, August 2023","venue":null,"work_id":"b31930c0-403b-4806-8985-ce00b4d16687","year":2023},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:04.498675Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:af500b85f4a7af5ee1b043437a621ce06b0a40af8b17c05eccdfe1181387f7df","observation_id":"5492ccdc-5f85-4586-932f-a8a4479ddd12","resolution":{"observed_at":"2026-08-07T13:14:24.265823Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T13:14:24.029964Z","title":"Exclusive: Google’s AI O verviews hit by EU antitrust complaint from independent publishers, 2025","venue":null,"work_id":"70a9b4d8-421e-470b-90a5-7929904724d4","year":2025},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:04.649550Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:e9edfe1c77394720011f788fd99e8a8827bf69b1cf1bd0d7e517b2860cd2d8d2","observation_id":"66b3a224-cb35-4daf-a101-00a2f8b3c348","resolution":{"observed_at":"2026-08-07T13:14:24.109161Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T13:14:23.811592Z","title":"The equivalence of uniform and shapley value-based cost allocations in a specific game","venue":null,"work_id":"14486703-0f32-4ecb-81b9-5b96b7c2b281","year":2010},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:04.813898Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:4b6daaac1e75dbb18ded1ae64fbae52f48388422eae0599e8823d5c17a652fc4","observation_id":"13a87d4c-78d4-450c-a95d-b89e7b3995ef","resolution":{"observed_at":"2026-08-07T13:14:23.928530Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T13:14:04.983822Z","title":"Balancing engagement and polarization: Multi-objective alignment of news content using llms","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:04.983822Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:0ce960bef61709dc5fdf83f02146283fafe226a2941a6bccfe99f7b6a0452f1f","observation_id":"f314339e-7f9a-4922-82d5-bb73d55f2355","resolution":{"observed_at":"2026-08-07T13:14:04.983822Z","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":"2026-08-07T13:14:23.539794Z","title":"The effect of word of mouth on sales: Online book reviews","venue":null,"work_id":"a5c6078c-b3cf-4d1e-8d68-4dbf494ff3aa","year":2006},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:05.097722Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:6435c004b1a771da9b60dd24a36e4ebce94da5f6a1fa5e1b876530c50f02cbcd","observation_id":"dd5100fb-68d9-4569-b143-538acfb3c877","resolution":{"observed_at":"2026-08-07T13:14:23.638589Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T13:14:23.408227Z","title":"Detection of influential observation in linear regression","venue":null,"work_id":"182839e2-3bd4-4dce-bcfb-33026ed1ccd8","year":1977},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:05.194639Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:33c6c21d455d5951c66111fa57d68945bbd0729d2adfefb69d6e0eb6d2d59ef3","observation_id":"145cc55e-b92c-4db9-9674-0981f2999fba","resolution":{"observed_at":"2026-08-07T13:14:23.457556Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T13:14:23.241459Z","title":"Shapley value approximation with divisive clustering","venue":null,"work_id":"c96a9c9f-7aba-4425-b715-e30d1d40343c","year":2019},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:05.346347Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:caaf1efe3b32bdcc497e7ce766aaa7b53f32f88f094b81c651e384ebce8392e5","observation_id":"213c0413-30c5-4d6f-bb61-d0ded4d8371b","resolution":{"observed_at":"2026-08-07T13:14:23.297636Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T13:14:22.937329Z","title":"Imperfect monitoring and impermanent reputations","venue":null,"work_id":"b53ff637-c665-471b-a1b8-a6731fbdfad2","year":2004},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:05.510578Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:c3202c2ce6cb9e85328c95d87a314de3abb89f8325cead2539e7a4593f25bd73","observation_id":"0e15eb0e-4002-492b-b4cc-cf2683260ccc","resolution":{"observed_at":"2026-08-07T13:14:23.087312Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T13:14:22.680294Z","title":"60\\ Link https://searchengineland.com/perplexity-citations-top-10-google-organic-results-439029","venue":null,"work_id":"f15e91cf-ce0e-4cbb-a3e4-6e8ce04668ab","year":2025},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:05.622499Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:faea8ac8288511028b5da6866ebe7a188c5075ffea25d2e2d07796a5601d0d32","observation_id":"551c7b78-1328-4689-ae31-c1ee03529986","resolution":{"observed_at":"2026-08-07T13:14:22.804252Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T13:14:22.442339Z","title":"Media, aggregators, and the link economy: Strategic hyperlink formation in content networks","venue":null,"work_id":"4cd6b00a-d10f-4a59-9248-14b407d4f197","year":2013},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:05.789196Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:e534f09211904dd779ee8f2ad18cff3cc391da01472acd7f4dcdd6fe160a99af","observation_id":"d3c752b7-57a1-4ec5-adda-ae9cd35ed3cf","resolution":{"observed_at":"2026-08-07T13:14:22.551077Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.16130","last_updated":"2025-02-19T10:49:41Z","snapshot_observed_at":"2026-07-06T18:05:11.700127Z","submitted_at":"2024-04-24T18:38:11Z","title":"From Local to Global: A Graph RAG Approach to Query-Focused Summarization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.16130","snapshot_observed_at":"2026-08-07T13:14:06.023860Z","title":"From local to global: A graph rag approach to query-focused summarization","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:06.023860Z"},"links":{"cited_paper":"/paper/2404.16130","citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:c8946acbb3dbfb30b3179f2f26e4524f066d0c0a893c31bb92e665759c23aaf4","observation_id":"b192d3cb-f8c9-4028-a4b6-e1eb0940a2c2","resolution":{"observed_at":"2026-08-07T13:14:06.023860Z","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":"2026-08-07T13:14:22.170805Z","title":"A density-based algorithm for discovering clusters in large spatial databases with noise","venue":null,"work_id":"7403f6de-ef04-4ef3-95d6-1f17b42e5ac1","year":1996},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:06.135216Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:c493dc9f32f4600005598e5b19a9792a8e23db0a16ff9b1722fae5bbe4ec12ca","observation_id":"282f87bc-d87f-44f7-bffe-37cdbfaf91bb","resolution":{"observed_at":"2026-08-07T13:14:22.299808Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T13:14:21.881398Z","title":"Explainable machine learning for financial risk management: Two practical use cases","venue":null,"work_id":"85347ac3-8150-4d1e-ab99-3a3a3635ddaa","year":2024},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:06.315901Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:2d992b596446e990892b3380975d1d8936b3feda47186e0f3fee0e726c579a81","observation_id":"4f880f55-4eca-44cb-a0df-3182a5cffc39","resolution":{"observed_at":"2026-08-07T13:14:22.001072Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T13:14:06.453051Z","title":"A survey on rag meeting llms: Towards retrieval-augmented large language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:06.453051Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:09c9033350ba61d5674087a8ad53e74bf0a59bfc7888e993ba1041c6776e3d0b","observation_id":"7c09458d-a9bb-4bde-b1c7-b5fb2b2d7d5e","resolution":{"observed_at":"2026-08-07T13:14:06.453051Z","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":"2026-08-07T13:14:21.590705Z","title":"A linear approximation method for the S hapley value","venue":null,"work_id":"654d9040-38c4-4e31-92fd-1b8036024389","year":2008},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:06.555266Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:1812f5d49ab721fac20882492d789ac06fb96c6de5653ef4c81ffc32c55b1ef9","observation_id":"2bec83c4-33b4-448a-a37b-629bc8ba03cd","resolution":{"observed_at":"2026-08-07T13:14:21.730570Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.10997","last_updated":"2024-03-27T09:16:57Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-18T07:47:33Z","title":"Retrieval-Augmented Generation for Large Language Models: A Survey","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.10997","snapshot_observed_at":"2026-08-07T13:14:06.724562Z","title":"Retrieval-augmented generation for large language models: A survey","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:06.724562Z"},"links":{"cited_paper":"/paper/2312.10997","citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:699d8d3078c4ed43e9c54f3efe66c88f6529fe28baf148fab4eff98aa54b45a0","observation_id":"8061cf24-a225-48cd-adec-f3587751d849","resolution":{"observed_at":"2026-08-07T13:14:06.724562Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:14:06.886881Z","title":"Data shapley: Equitable valuation of data for machine learning","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:06.886881Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:b4f3ea062dd52021b559f6cef5a4bba7fa0576f4b223c2830a4913a9f32e8960","observation_id":"a2323525-1c86-40ab-af48-0587fa218a05","resolution":{"observed_at":"2026-08-07T13:14:06.886881Z","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":"2026-08-07T13:14:21.277847Z","title":"Google ceo says ai overviews are increasing search usage, April 2024","venue":null,"work_id":"0cf10766-fb01-4a54-9c8b-f7df1d8991fa","year":2024},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:07.031814Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:2c6a2643f4ad59f578bcbb40cfd0df3223254b281055bca12b954efa8088cb4a","observation_id":"b1811ae1-0a76-4f42-aff5-e2fc22d1dd30","resolution":{"observed_at":"2026-08-07T13:14:21.427713Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T13:14:21.093393Z","title":"AI overviews – search anything, effortlessly, 2025","venue":null,"work_id":"0daaa7b1-bf82-445c-b33b-f64d3124f21a","year":2025},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:07.179859Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:cebed45ae654141f20a49f581b211a54b41312ed6e89b79c1d259d8a4c76a791","observation_id":"9b5e31cd-97a3-40a5-847e-097111752489","resolution":{"observed_at":"2026-08-07T13:14:21.158801Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1903.11420","last_updated":"2020-05-08T15:19:18Z","snapshot_observed_at":"2026-08-14T16:56:00.744786Z","submitted_at":"2019-03-27T13:37:30Z","title":"Do Not Trust Additive Explanations","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1903.11420","snapshot_observed_at":"2026-08-07T13:14:07.385770Z","title":"Do not trust additive explanations","venue":null,"work_id":null,"year":1903},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:07.385770Z"},"links":{"cited_paper":"/paper/1903.11420","citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:7b26778a7fe6a15278f83a75ed2f36aecd609fde88bb8725aa2581c67cb61297","observation_id":"b794613a-8234-4714-93bd-c96bba6ac0d9","resolution":{"observed_at":"2026-08-07T13:14:07.385770Z","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":"2026-08-07T13:14:20.890842Z","title":"Grynbaum and Ryan Mac","venue":null,"work_id":"3f3dacb4-fde6-4ec2-bd83-76fceff7afd2","year":2023},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:07.540114Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:157f7296bde686c86c8d2ceab00f2e5dd1b098e20203f4dd2f2151f0f5876ea9","observation_id":"fe9de5b4-85aa-440c-8958-8b9f16a6e554","resolution":{"observed_at":"2026-08-07T13:14:20.942901Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2012.15781","last_updated":"2021-09-09T18:48:02Z","snapshot_observed_at":"2026-08-13T20:37:16.234273Z","submitted_at":"2020-12-31T18:02:34Z","title":"FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2012.15781","snapshot_observed_at":"2026-08-07T13:14:07.717314Z","title":"Fastif: Scalable influence functions for efficient model interpretation and debugging","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:07.717314Z"},"links":{"cited_paper":"/paper/2012.15781","citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:fa6f7e817b1ba56e65d45f7c4a933442bb83aa664c4ed860fe3f54e80cfbdc51","observation_id":"e69d0c34-a32f-4ed5-9835-5b5e99a64be1","resolution":{"observed_at":"2026-08-07T13:14:07.717314Z","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":"2026-08-07T13:14:20.757536Z","title":"40.58\\ Link https://writesonic.com/blog/ai-citations-from-serp-results-study","venue":null,"work_id":"3d16470a-f6cc-4d77-b5de-619d91c74631","year":2025},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:07.866522Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:78bf8071e0ac1d888668f31ea5d24dd5da11dacb03e534550339d2b817e088f0","observation_id":"a42f87b0-8b81-43b4-984c-8c1c406dc908","resolution":{"observed_at":"2026-08-07T13:14:20.817709Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2005.06676","last_updated":"2020-05-14T00:45:23Z","snapshot_observed_at":"2026-08-12T03:16:24.297659Z","submitted_at":"2020-05-14T00:45:23Z","title":"Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2005.06676","snapshot_observed_at":"2026-08-07T13:14:08.019714Z","title":"Explaining black box predictions and unveiling data artifacts through influence functions","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:08.019714Z"},"links":{"cited_paper":"/paper/2005.06676","citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:4fc48168b0de042bf2b38af4648aa9a2da9a70e5a69fc69bc68d02bcc9f11509","observation_id":"edb0dff1-df56-45ad-b95a-202ed420549f","resolution":{"observed_at":"2026-08-07T13:14:08.019714Z","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":"2026-08-07T13:14:20.598303Z","title":"Sentiment analysis on large scale amazon product reviews","venue":null,"work_id":"9d212688-af3d-4de2-ac8d-00fa48ff23d5","year":2018},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:08.104103Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:7d607413895bedae0a48d075c16e837cc76f41bcf6bfeb0fe5dbda21095a9181","observation_id":"c25245bc-896c-42e0-abd6-f0d768ee6cf7","resolution":{"observed_at":"2026-08-07T13:14:20.686373Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.03952","last_updated":"2026-04-20T06:05:54Z","snapshot_observed_at":"2026-08-03T00:56:47.399756Z","submitted_at":"2024-03-06T18:56:36Z","title":"Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.03952","snapshot_observed_at":"2026-08-07T13:14:08.157569Z","title":"Bridging language and items for retrieval and recommendation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:08.157569Z"},"links":{"cited_paper":"/paper/2403.03952","citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:75e599377c432e4e8580e77800ead290b2607a1568d49f07bd548e41c11a9006","observation_id":"723f2fab-165c-4dcb-8df3-c76f05af018b","resolution":{"observed_at":"2026-08-07T13:14:08.157569Z","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":"2026-08-07T13:14:20.442839Z","title":"News aggregators and competition among newspapers on the internet","venue":null,"work_id":"e1572c72-e9a3-48e1-b1cb-5168670c2abb","year":2016},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:08.229518Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:61fa775aa0a7842165821a7fed616e76b9611fe8b1068ffb12c83fde5330e4d3","observation_id":"b87aab23-3129-446a-acf9-bb38740f00c1","resolution":{"observed_at":"2026-08-07T13:14:20.516709Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T13:14:20.216767Z","title":"Towards efficient data valuation based on the shapley value","venue":null,"work_id":"e3dd21af-e25e-4cbc-8451-778dcfd80a18","year":2019},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:08.296111Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:de050b88f682832f179d7177fad59312cb7e1a65e2ad8c5fd3f6caba03106334","observation_id":"613db5e5-507f-49a7-a139-9335240aa4a9","resolution":{"observed_at":"2026-08-07T13:14:20.336919Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T13:14:08.359388Z","title":"Active retrieval augmented generation","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:08.359388Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:6d9dea12200c45c54da25197bfde496ee71c30f2ed2dca9126b46e7dbaa079a7","observation_id":"cf8917e0-a924-4b0d-848e-253c21e28b0e","resolution":{"observed_at":"2026-08-07T13:14:08.359388Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.06474","last_updated":"2023-05-10T21:43:42Z","snapshot_observed_at":"2026-08-14T22:25:23.729828Z","submitted_at":"2023-05-10T21:43:42Z","title":"Do LLMs Understand User Preferences? Evaluating LLMs On User Rating Prediction","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.06474","snapshot_observed_at":"2026-08-07T13:14:08.430620Z","title":"Do llms understand user preferences? evaluating llms on user rating prediction","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:08.430620Z"},"links":{"cited_paper":"/paper/2305.06474","citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:120e4af31eeb0833633d987e2e682449f368e8b2dc21804af4effc1eb972a065","observation_id":"fc5629c1-20ed-435b-8a1d-f86d4178d722","resolution":{"observed_at":"2026-08-07T13:14:08.430620Z","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":"2026-08-07T13:14:20.025080Z","title":"Bert meets shapley: Extending shap explanations to transformer-based classifiers","venue":null,"work_id":"b5294e4d-79e7-4f68-b1d6-2333ae84490f","year":2021},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:08.480033Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:3f6c680d65e3a895e1d4a654944623b754976064f5b7ed03983f128ae0369641","observation_id":"ea77ab15-3be1-4975-bc01-e3e8c36d2a86","resolution":{"observed_at":"2026-08-07T13:14:20.115952Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T13:14:19.872668Z","title":"Neural insights for digital marketing content design","venue":null,"work_id":"ef7ac21c-f1c4-4346-a446-42120d2d6901","year":2023},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:08.524939Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:caeb0ebbe10370e9b1bf56471c6182a5a6cb02083cf53f2685af4c08fbe9fa7b","observation_id":"f089b28c-1c79-46fd-ba78-dcb171ede5b6","resolution":{"observed_at":"2026-08-07T13:14:19.929294Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T13:14:19.745458Z","title":"Accountable algorithms","venue":null,"work_id":"760ae5b1-d1c2-409b-a0cd-99a14056d2ae","year":2017},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:08.593587Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:2628765b41191b92150efd379107e9626f12da782647074dd8a38bf2cc3b24b0","observation_id":"4a4f19f9-6e87-4fa1-bb14-768654e378f1","resolution":{"observed_at":"2026-08-07T13:14:19.811369Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T13:14:08.692415Z","title":"u ttler, Mike Lewis, Wen-tau Yih, Tim Rockt \\","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:08.692415Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:c3f64ff6a382155c11ee558f2f604bafa8ea61d083918ec1b0ebb3116e05dc20","observation_id":"5a8f15b3-7359-464b-98e2-e4776da46e3a","resolution":{"observed_at":"2026-08-07T13:14:08.692415Z","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":"2026-08-07T13:14:19.612672Z","title":"Unified auto clinical scoring (uni-acs) with interpretable ml models","venue":null,"work_id":"bfd289ca-0e80-4b7d-9a3a-179d987c067d","year":2022},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:08.778445Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:2653d18ec917e453ebae7fb582096dacae8344bfd40835fdb31a661866e71a29","observation_id":"35ad9da6-4702-4306-91a4-1d8b9194f627","resolution":{"observed_at":"2026-08-07T13:14:19.666818Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T13:14:19.489232Z","title":"Learning to rank for information retrieval","venue":null,"work_id":"e14cf4cb-a391-4ab6-968b-ddeaf2463f23","year":2009},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:08.853243Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:b64ef7e7c8c74b025b4d03e1a05c6dcdb695d1c3ef90122fa5d35bb43724b093","observation_id":"c9863753-b1dc-4582-889a-a62481dfcb30","resolution":{"observed_at":"2026-08-07T13:14:19.548973Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T13:14:08.914681Z","title":"Least squares quantization in pcm","venue":null,"work_id":null,"year":1982},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:08.914681Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:19f388786c3abacba403880e9a0ef7f033a42cdd64bd5fbb0edbed8e715410a2","observation_id":"25c66060-9ba0-4a2b-af95-6ecf758468df","resolution":{"observed_at":"2026-08-07T13:14:08.914681Z","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":"2026-08-07T13:14:19.377103Z","title":"Lundberg and Su-In Lee","venue":null,"work_id":"6fb40921-5373-4572-8218-68943bbc5c55","year":2017},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:08.982301Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:8bbfdc5dc577c9098b538801c60011419d45d3ed21d9ec19313527d7af544af4","observation_id":"76165ed8-b1a7-46dd-baf7-33780ef82a71","resolution":{"observed_at":"2026-08-07T13:14:19.414372Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1306.4265","last_updated":"2014-02-12T22:51:33Z","snapshot_observed_at":"2026-08-15T00:13:38.949655Z","submitted_at":"2013-06-18T16:51:53Z","title":"Bounding the Estimation Error of Sampling-based Shapley Value Approximation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1306.4265","snapshot_observed_at":"2026-08-07T13:14:09.029060Z","title":"Bounding the estimation error of sampling-based shapley value approximation","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:09.029060Z"},"links":{"cited_paper":"/paper/1306.4265","citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:ed2fa19c7a1020f96eb0a0beaa44bec8df8f2217a6d8067707b6a6da3a7374b7","observation_id":"124a16e9-d176-4307-94bc-8a5cb3d64bbc","resolution":{"observed_at":"2026-08-07T13:14:09.029060Z","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":"2026-08-07T13:14:19.226015Z","title":null,"venue":null,"work_id":"2ba06676-0910-46fa-9b9c-d7cd608ed158","year":1960},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:09.104913Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:c0f212f866d896454bc83faf41326f2d0eab21872888b650b6cd712e56b12bb0","observation_id":"73e8b236-5880-44ec-8c0e-75c9e502aa65","resolution":{"observed_at":"2026-08-07T13:14:19.314775Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T13:14:19.109061Z","title":"Link to success: How blogs build an audience by promoting rivals","venue":null,"work_id":"2d7c51f8-8cae-4bee-9f4e-aabf831959c2","year":2012},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:09.181776Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:7e261a8097663d0cbfb0a1c3e37524b9fd7c7d7ae872beb10f7228ac3ac602ac","observation_id":"6b261b66-96e0-4a46-a35e-b7e57f41d657","resolution":{"observed_at":"2026-08-07T13:14:19.160804Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T13:14:18.979151Z","title":"Amazon announces Rufus , a new generative AI -powered conversational shopping experience, 2024","venue":null,"work_id":"bcb4451e-c7de-4e67-a37f-e1251d827185","year":2024},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:09.248674Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:7b70cc2e4580dd2fdbd10d1bdfe3dafa4905389b1325bfd8259a16f59ec31101","observation_id":"67968417-3ca8-4379-a47f-1acca7cc7cef","resolution":{"observed_at":"2026-08-07T13:14:19.029856Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T13:14:18.834294Z","title":"Copilot search in bing, 2025","venue":null,"work_id":"fbf8409b-8b9d-4093-b555-78eb7d42ee38","year":2025},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:09.314173Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:f10c8914b9da06d1625930a32aaec41ec795be65474c76272bce778b62aabf51","observation_id":"dc4462d6-80e3-472a-829c-3c3c5bf2c085","resolution":{"observed_at":"2026-08-07T13:14:18.910709Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T13:14:18.674998Z","title":"Textrank: Bringing order into text","venue":null,"work_id":"d2611757-e5d3-4d07-ad86-e15b7fa6bad1","year":2004},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:09.384296Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:75b454aed3315303967a8ee5c3e565884ba5cfc65665b303abce8fe3a301669c","observation_id":"6df8bad3-dd30-4ff9-8ba6-9c95275aecd7","resolution":{"observed_at":"2026-08-07T13:14:18.758185Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1301.3781","last_updated":"2013-09-07T00:30:40Z","snapshot_observed_at":"2026-07-06T03:04:11.148340Z","submitted_at":"2013-01-16T18:24:43Z","title":"Efficient Estimation of Word Representations in Vector Space","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1301.3781","snapshot_observed_at":"2026-08-07T13:14:09.435692Z","title":"Efficient estimation of word representations in vector space","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:09.435692Z"},"links":{"cited_paper":"/paper/1301.3781","citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:562ac05302082d7d10b45d67cb24c1dae5a90dfbad2e0058c38e2bb66813e88a","observation_id":"b758cce3-4e48-450c-a7d5-b17b1a4e5823","resolution":{"observed_at":"2026-08-07T13:14:09.435692Z","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":"2026-08-07T13:14:18.485737Z","title":"Introducing ChatGPT search, 2024","venue":null,"work_id":"311e0a76-ee38-40cf-a60b-c2b5f1239235","year":2024},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:09.530825Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:1a844ad175fe8b4abf70ff0b858a4b2a6530bc3821bc50ed69cfdc99c9935df2","observation_id":"ff0651f7-ec90-4f69-a3a1-6fd09892d632","resolution":{"observed_at":"2026-08-07T13:14:18.570927Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T13:14:18.318487Z","title":"A survey of text representation and embedding techniques in NLP","venue":null,"work_id":"42bc22ae-fe76-4e6f-803b-942b62a58441","year":2023},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:09.603218Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:9ce79b7a1f67561aac54521118fa1d4bf9ddad49b513a6f927e5e6caee5a1f62","observation_id":"e71ccccf-8e91-4fd8-8c33-69519608f9e0","resolution":{"observed_at":"2026-08-07T13:14:18.405729Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T13:14:09.649871Z","title":"Glove: Global vectors for word representation","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:09.649871Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:2a79044f86f6f817a508c62c97dc30e86acc0d0e4dfc595a4c54a1bd94793bd7","observation_id":"22a6f8af-1c42-4250-b763-03ca7e9804c5","resolution":{"observed_at":"2026-08-07T13:14:09.649871Z","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":"2026-08-07T13:14:18.163524Z","title":"Link https://www.perplexity.ai","venue":null,"work_id":"d5b1ae93-8a6f-47e1-9a25-a07191721262","year":2025},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:09.711156Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:c46e3ee9523c8752be537c0fc9a0d0208a7ac9e335b056fd8448682e004d52ce","observation_id":"2e522236-f3fd-4ec3-8773-7ace9709c3c2","resolution":{"observed_at":"2026-08-07T13:14:18.235024Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T13:14:18.019758Z","title":"ProRata AI , 2025","venue":null,"work_id":"84e141db-2acc-42ad-95c3-260e3cb5d8fa","year":2025},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:09.788147Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:1eddb187c9bf5dab359f2cb96f2f029a973aa5d5061fe62110ce35341f0b952c","observation_id":"406e287a-1c7d-4840-9157-337404510ec8","resolution":{"observed_at":"2026-08-07T13:14:18.080852Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.09558","last_updated":"2023-09-18T08:13:01Z","snapshot_observed_at":"2026-08-13T17:13:32.474749Z","submitted_at":"2023-09-18T08:13:01Z","title":"Summarization is (Almost) Dead","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.09558","snapshot_observed_at":"2026-08-07T13:14:09.836788Z","title":"Summarization is (almost) dead","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:09.836788Z"},"links":{"cited_paper":"/paper/2309.09558","citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:e5c5da61594bd738ce62bbd5417be8c09b3df59a65526cda1d5e027708f644e3","observation_id":"f605759f-2065-46b9-9b7a-4d8c89bd0626","resolution":{"observed_at":"2026-08-07T13:14:09.836788Z","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":"2408.16987","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:14:14.627047Z","title":"From model explanation to data misinterpretation: Uncovering the pitfalls of post hoc explainers in business research","venue":null,"work_id":"5d52ff21-c452-4b62-99a2-e13faf4d4620","year":2024},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:09.890862Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:f4c0a5b0ca5cc5ec99b3fc3d46c825faef2348a7501594a9ce612e690cbd17d0","observation_id":"77bbfdcc-a0bb-4e77-a41c-c03d80f3475b","resolution":{"observed_at":"2026-08-07T13:14:14.684542Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T13:14:09.977675Z","title":"What is karma?, November 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:09.977675Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:2c5929fe963b417b567c769a5ccaf33283e385c2e40c4ee2a97e264c34d63f52","observation_id":"208e1ae0-8a1f-43cd-a117-8b9de7ddee0c","resolution":{"observed_at":"2026-08-07T13:14:09.977675Z","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":"2026-08-07T13:14:17.865634Z","title":"Generative AI in search: Let google do the searching for you, May 2024","venue":null,"work_id":"3a16ea99-1f4b-4c31-aca0-e0a82d5f4fa9","year":2024},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:10.082571Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:c8c288847a909935548f70714455c4804828f47291f2467e461741387788c0b4","observation_id":"13462e42-caa7-4a27-841d-861d00ac7686","resolution":{"observed_at":"2026-08-07T13:14:17.937355Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T13:14:17.738619Z","title":"Reputation systems","venue":null,"work_id":"f7c87f01-2c3f-4ffc-871e-d1437d7d0b8f","year":2000},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:10.141234Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:fbced84996c2e1aa669260d2c8406714a028df6414472a1c609baba61859d873","observation_id":"23b945b4-8e43-4c71-9660-9787ce9b5ade","resolution":{"observed_at":"2026-08-07T13:14:17.782231Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T13:14:17.582616Z","title":"Openai strikes a deal to license news corp content, May 2024","venue":null,"work_id":"1435f4d8-ec81-4b81-8264-3d0cedf5e2eb","year":2024},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:10.179479Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:8c69d21748de76eb6f7c1bbbebeb48ffd72156bd9fe06d332a599019a7cca234","observation_id":"f3086cea-50d5-4fe8-8947-3a68a29c3d67","resolution":{"observed_at":"2026-08-07T13:14:17.651774Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T13:14:17.477812Z","title":"From threat to opportunity: Gaming the algorithmic system as a service","venue":null,"work_id":"3f1120ee-873a-40b2-a0ca-c20755eb1556","year":2025},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:10.270149Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:7a27e8ddf62d30b9b3a5d1d12e6f925fa7c34304b50b9ec43b1345070adcca49","observation_id":"a6b3e61e-a407-46b6-9246-07c643421dbb","resolution":{"observed_at":"2026-08-07T13:14:17.518814Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T13:14:17.360650Z","title":"How amazon continues to improve the customer reviews experience with generative AI , 2023","venue":null,"work_id":"aa253ceb-1835-4c9d-b055-6a1711055cc9","year":2023},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:10.376014Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:6d3679b6f22f6d3c7123832a62be3449f3b4b00e4d4141c552fa49b0143d5394","observation_id":"fe25b653-cd28-45e6-b598-a9caaa2c58c4","resolution":{"observed_at":"2026-08-07T13:14:17.412784Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T13:14:17.200579Z","title":"Introduction to information retrieval, volume 39","venue":null,"work_id":"ad5e9aa8-74eb-46f6-b6a1-d4beb86d0b4d","year":2008},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:10.435518Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:4267ad99f9615a5c83676dfa14b78ad6a26f4819c09e10aa053869dace5b32ab","observation_id":"b24419b6-7e8c-4679-82e6-6a93df302391","resolution":{"observed_at":"2026-08-07T13:14:17.262273Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T13:14:17.053344Z","title":"Who validates the validators? aligning llm-assisted evaluation of llm outputs with human preferences","venue":null,"work_id":"a70c710d-cef2-4b86-ac09-0a62c097386e","year":2024},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:10.510105Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:b02a7ff95f524cc248f2c688ca9982593a278c0e9e2fea1e0df45c5fbc2954fb","observation_id":"f6eb822b-d653-4e28-a2fc-be6407a76dd9","resolution":{"observed_at":"2026-08-07T13:14:17.094746Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T13:14:16.902599Z","title":"A value for n-person games","venue":null,"work_id":"ca16e74e-a529-4908-aa9d-29e2f230d5c3","year":1953},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:10.611179Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:dca4db88bb55963622569bfcb9b81f55ee29fa1c5c61e3267eed7aa097806cf6","observation_id":"7d295612-d2b8-480f-a4c7-ca52004f50f2","resolution":{"observed_at":"2026-08-07T13:14:16.963749Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T13:14:16.686803Z","title":"Google: It’s ‘misleading’ for websites to blame ai overviews for lost traffic, April 2025","venue":null,"work_id":"1c39df54-b1a8-4a8d-a887-c0b6da2826d3","year":2025},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":71,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:10.759661Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:37c83a0b497a11aedb78335194ac164ea6835ba9bd5e834d1ea06304207fa3f9","observation_id":"4d5e461e-707c-450d-a31e-c26fcd1c60ba","resolution":{"observed_at":"2026-08-07T13:14:16.800496Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T13:14:16.488616Z","title":"Does carrying news increase engagement with non-news content on social media platforms? Available at SSRN 4490982, 2023","venue":null,"work_id":"bf106518-e6e1-40bc-8e67-1aaacd32e37d","year":2023},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":72,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:11.138798Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:b314fbc3e4c383760cb1d920b5bd35c54c478745dedcb400364ab234a267bb44","observation_id":"0bf309db-9517-4162-bf4e-e8570880b3ee","resolution":{"observed_at":"2026-08-07T13:14:16.593838Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"status/1849813","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:14:14.246329Z","title":"Perplexity serving over 100 million queries per week, April 2024","venue":null,"work_id":"fb09ee17-572c-4443-a0ad-446a6e695e28","year":2024},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:11.708848Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:08159c8765df3e6a620be2cdc1396b447597d0d6cba135bb85ab28b742d5d6d2","observation_id":"2d692897-09c2-44d9-a9f5-c048b15b42ef","resolution":{"observed_at":"2026-08-07T13:14:14.319795Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T13:14:16.277579Z","title":"Perplexity has crossed \\ 100m in annualized revenue, March 2025","venue":null,"work_id":"31bb15a8-fb15-42c5-8983-7ceb8e67c564","year":2025},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":74,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:11.795568Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:7b9ab3c7b76140223dae17929f7ceae12c0c3c1669399fdd71bd42a72a5873cb","observation_id":"920095ba-1c8b-46ce-b20c-0a167f661774","resolution":{"observed_at":"2026-08-07T13:14:16.390862Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T13:14:16.083159Z","title":"ProRata invents generative ai attribution technology to compensate and credit content owners while facilitating fairness and fact, with support from universal music group, 2024","venue":null,"work_id":"67e984b4-c42c-4c86-8249-21ea09c8b1cb","year":2024},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":75,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:11.911093Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:7a0bafd2691fdbc40bbb26a504597af4c0b1d53b367c7f5580c324b72a056fa7","observation_id":"118f1534-107f-416d-a980-57d515dc9b6f","resolution":{"observed_at":"2026-08-07T13:14:16.180261Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.13964","last_updated":"2024-09-09T04:00:44Z","snapshot_observed_at":"2026-08-13T00:24:55.787875Z","submitted_at":"2024-04-22T08:10:38Z","title":"An Economic Solution to Copyright Challenges of Generative AI","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.13964","snapshot_observed_at":"2026-08-07T13:14:12.029323Z","title":"An economic solution to copyright challenges of generative ai","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":76,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:12.029323Z"},"links":{"cited_paper":"/paper/2404.13964","citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:8979c0fb42df2d90363c370cf867cb1458c38822f83655af089b63dcc77234f0","observation_id":"296d032d-7550-49f6-a1ff-eab44662b7cb","resolution":{"observed_at":"2026-08-07T13:14:12.029323Z","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":"2026-08-07T13:14:15.935528Z","title":"Competition, contracts, and creativity: Evidence from novel writing in a platform market","venue":null,"work_id":"17123674-2a6c-4773-8a6a-55c2556f5314","year":2022},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":77,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:12.138272Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:f745e8f520edf88ae8105353ce07d0e6ff5f2125218da952e88607bde82dd20c","observation_id":"b3770e25-1129-40a7-bcb0-53a3e7f297c9","resolution":{"observed_at":"2026-08-07T13:14:16.003518Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.01135","last_updated":"2023-07-03T16:15:34Z","snapshot_observed_at":"2026-08-14T23:56:58.270442Z","submitted_at":"2023-07-03T16:15:34Z","title":"ChatGPT vs. Google: A Comparative Study of Search Performance and User Experience","version":1},"cited_work":{"arxiv_id":"2307.01135","doi":null,"metadata_source":"pith","pith_arxiv_id":"2307.01135","snapshot_observed_at":"2026-08-07T13:14:13.871270Z","title":"ChatGPT vs. Google: A Comparative Study of Search Performance and User Experience","venue":"cs.AI","work_id":"211b076d-be9c-4b9f-b190-3005645d953b","year":2023},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":78,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:12.256954Z"},"links":{"cited_paper":"/paper/2307.01135","citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:0a204cdbb5a437aff745dc39ed5e44bcaa48c612a83ce7c738f87f4bd5a6fc70","observation_id":"b772f4d6-e527-468d-947e-0556f6265c12","resolution":{"observed_at":"2026-08-07T13:14:14.026779Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T13:14:15.792312Z","title":"LOLA : Llm-assisted online learning algorithm for content experiments","venue":null,"work_id":"08a3a478-c115-471f-8145-7f1510cad839","year":2025},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":79,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:12.390821Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:2ca6921f59e4fd61896e18fb90d44d83d72d0ee25fe216d84dcb5bc25ee9e413","observation_id":"37232ff3-eaa0-4aa2-8ee7-7e622f2c9980","resolution":{"observed_at":"2026-08-07T13:14:15.868320Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T13:14:15.683384Z","title":"The value of reputation in an online freelance marketplace","venue":null,"work_id":"55ff88c3-acdb-454f-9323-96629ab21062","year":2013},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":80,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:12.544411Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:b1c97a8bf912ae876184ae3aa002078c4f8dd3dff1654e0b753efbd1a58de123","observation_id":"f475d445-6ec2-44ca-8b5f-505d40403b7d","resolution":{"observed_at":"2026-08-07T13:14:15.736631Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T13:14:15.549117Z","title":"Search personalization using machine learning","venue":null,"work_id":"9942dcc9-f278-4b5c-8ffd-35f54524123c","year":2020},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":81,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:12.664232Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:93802aa9e4d1c1091b896c3d838ffa7ecddcf330591945eb442986692fba6e93","observation_id":"0c411593-d0bf-43e5-a61b-07b98e113cfe","resolution":{"observed_at":"2026-08-07T13:14:15.609597Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T13:14:15.402519Z","title":"Cloudflare launches a marketplace that lets websites charge AI bots for scraping, 2025","venue":null,"work_id":"1ecced9b-c8ab-403a-a87c-c9f077058600","year":2025},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":82,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:12.841056Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:2280db3d03e6d34605ba9b95128d9cda8b6e6e3311d527bbdc7cb33b315922b0","observation_id":"a3df9469-4f21-4dd7-8021-0f64452bf8b9","resolution":{"observed_at":"2026-08-07T13:14:15.469226Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.02006","last_updated":"2024-08-04T12:10:51Z","snapshot_observed_at":"2026-08-14T10:05:03.289016Z","submitted_at":"2024-08-04T12:10:51Z","title":"LLaSA: Large Language and E-Commerce Shopping Assistant","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.02006","snapshot_observed_at":"2026-08-07T13:14:12.950304Z","title":"Llasa: Large language and e-commerce shopping assistant","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":83,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:12.950304Z"},"links":{"cited_paper":"/paper/2408.02006","citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:e72be90ec010607143ebe2ccbd283abf5b3ae6f435b0cd4337e3071382194c64","observation_id":"883ec490-821e-4f42-9f4d-a2bbcccaecea","resolution":{"observed_at":"2026-08-07T13:14:12.950304Z","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":"2026-08-07T13:14:15.296720Z","title":"If platforms are exploiting producers, is platform competition the solution? Available at SSRN 4728676, 2024 b","venue":null,"work_id":"0629ee1c-bfca-48c7-a5a9-b328c8aad897","year":2024},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":84,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:13.074602Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:ac88d98a67ae4c7e658feeacaa1c719efb4408fefae4684fbf401d7c215db2bc","observation_id":"2eb510a9-eb7a-4c2f-b613-7de594b10e82","resolution":{"observed_at":"2026-08-07T13:14:15.349186Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T13:14:15.142254Z","title":"Lexical diversity-aware relevance assessment for retrieval-augmented generation","venue":null,"work_id":"b630842d-188d-459f-b794-3fb05d842dce","year":2025},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":85,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:13.207499Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:7e11ecc406fe95cfe39f34c8770c63faeb7b69980d1c67bd8020012d447fca95","observation_id":"34b95a46-60ec-4807-b01e-fb3fff8ccbbd","resolution":{"observed_at":"2026-08-07T13:14:15.225897Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T13:14:14.976193Z","title":"Generative search: Evidence from a large-scale field experiment","venue":null,"work_id":"1c8495c0-005e-4d46-b1f3-cf1fa103a340","year":2025},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":86,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:13.308235Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:fa3f765e7cc798786672ce3407f725805e60f6a74df63450c860e5bc284c8dff","observation_id":"d95bee8a-af63-46a3-afd1-75587b07891a","resolution":{"observed_at":"2026-08-07T13:14:15.038054Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"articles/3202672","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:14:13.608741Z","title":"Reddit answers (currently in beta), 2025","venue":null,"work_id":"6ed0cb65-35c0-4b92-8058-54ac706432d0","year":2025},"citing_paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values","version":5},"reference_index":87,"source":"arxiv_source","source_observed_at":"2026-08-07T13:14:13.390220Z"},"links":{"citing_paper":"/paper/2505.23842"},"observation_digest":"sha256:7841e79bff4e505256368dd70f4e5cdbf22002a64a06a678b780b3b68ed719c8","observation_id":"09370d92-7cde-4c87-9955-eda57052800e","resolution":{"observed_at":"2026-08-07T13:14:13.688590Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.23842","last_updated":"2026-07-08T21:44:53Z","latest_version":5,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-07T13:04:23.663339Z","submitted_at":"2025-05-28T15:14:21Z","title":"Fair Document Valuation in LLM Summaries via Shapley Values"},"reference_resolution":{"displayed":87,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":28,"verified_exact":4,"verified_fuzzy":55},"total_outbound_references":87},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 87 of 87 outbound references and 4 inbound Pith citation observations for arXiv:2505.23842."}