{"as_of":"2026-08-14T17:28:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7fa1c47274685b3418c99b4d5eb1373edaa92adc100a50131ef1cd426f37deab","coverage":[{"denominator":22,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":22,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T11:36:43.503940Z","state":"measured"},{"denominator":24,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":24,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T23:46:08.832563Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-13T07:42:30.662939Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.01789","last_updated":"2025-06-03T04:18:39Z","snapshot_observed_at":"2026-08-08T11:39:24.709844Z","submitted_at":"2025-06-02T15:31:52Z","title":"Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability","version":2},"cited_work":{"arxiv_id":"2506.01789","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.01789","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Datasheets aren’t enough: Datarubrics for automated quality metrics and accountability.arXiv preprint arXiv:2506.01789","venue":null,"work_id":"8fc5f094-9068-4ee4-95ec-3b6b5de27137","year":null},"citing_paper":{"arxiv_id":"2605.11764","last_updated":"2026-05-12T08:35:02Z","snapshot_observed_at":"2026-07-06T23:23:34.924221Z","submitted_at":"2026-05-12T08:35:02Z","title":"Decomposing the Generalization Gap in PROTAC Activity Prediction: Variance Attribution and the Inter-Laboratory Ceiling","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-13T07:39:46.649002Z"},"links":{"cited_paper":"/paper/2506.01789","citing_paper":"/paper/2605.11764"},"observation_digest":"sha256:31edd9040a45f19f7a59f294106ae50a4effe4f6de5d0912e3a5f38080510403","observation_id":"d61004f3-25e2-4a6f-9fcc-c68276088567","resolution":{"observed_at":"2026-05-13T07:42:30.665917Z","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":"2506.01789","last_updated":"2025-06-03T04:18:39Z","snapshot_observed_at":"2026-08-08T11:39:24.709844Z","submitted_at":"2025-06-02T15:31:52Z","title":"Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.01789","snapshot_observed_at":"2026-08-11T23:46:08.832563Z","title":"Datasheets aren’t enough: DataRubrics for automated quality metrics and accountability.arXiv preprint arXiv:2506.01789, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.09093","last_updated":"2026-08-10T03:43:30Z","snapshot_observed_at":"2026-08-14T07:29:24.314644Z","submitted_at":"2026-08-10T03:43:30Z","title":"The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora","version":1},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-11T23:46:08.832563Z"},"links":{"cited_paper":"/paper/2506.01789","citing_paper":"/paper/2608.09093"},"observation_digest":"sha256:1c900d129fe6bdc1066d613e258c378c469c858c611f4852cb3064a467ebbcbd","observation_id":"f755bad9-c5f7-4fd5-aac2-ad53e0bfc3d9","resolution":{"observed_at":"2026-08-11T23:46:08.832563Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2506.01789/citation-record","integrity":"/paper/2506.01789/integrity","json":"/paper/2506.01789/citation-record.json","paper":"/paper/2506.01789"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:36:43.959114Z","title":"Akhtar, O","venue":null,"work_id":"6196f56d-17c0-468f-8854-edb7b6e90ad0","year":2024},"citing_paper":{"arxiv_id":"2506.01789","last_updated":"2025-06-03T04:18:39Z","snapshot_observed_at":"2026-08-08T11:39:24.709844Z","submitted_at":"2025-06-02T15:31:52Z","title":"Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T11:36:43.438293Z"},"links":{"citing_paper":"/paper/2506.01789"},"observation_digest":"sha256:566abd714b3c0a29da8d4398131cd605a36bd593d07209caf2a0c30779223f8b","observation_id":"570ec6aa-8c4f-4309-967f-6055759f2da1","resolution":{"observed_at":"2026-08-07T11:36:43.961967Z","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":"2408.11791","last_updated":"2024-08-21T17:24:15Z","snapshot_observed_at":"2026-08-14T07:27:24.505309Z","submitted_at":"2024-08-21T17:24:15Z","title":"Critique-out-Loud Reward Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.11791","snapshot_observed_at":"2026-08-07T11:36:43.442054Z","title":"Ankner, M","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.01789","last_updated":"2025-06-03T04:18:39Z","snapshot_observed_at":"2026-08-08T11:39:24.709844Z","submitted_at":"2025-06-02T15:31:52Z","title":"Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T11:36:43.442054Z"},"links":{"cited_paper":"/paper/2408.11791","citing_paper":"/paper/2506.01789"},"observation_digest":"sha256:bbf59068a1e423260cd8890849bc29b1fdf3027f6775892ee5e2ff3adce5d7b1","observation_id":"90199c7f-2665-4981-b314-6dc5fbad52c5","resolution":{"observed_at":"2026-08-07T11:36:43.442054Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.09334","last_updated":"2024-12-16T05:06:46Z","snapshot_observed_at":"2026-08-12T23:43:22.199683Z","submitted_at":"2024-06-13T17:15:33Z","title":"ProxyLM: Predicting Language Model Performance on Multilingual Tasks via Proxy Models","version":3},"cited_work":{"arxiv_id":"2406.09334","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.09334","snapshot_observed_at":"2026-08-07T11:36:43.832657Z","title":"ProxyLM: Predicting Language Model Performance on Multilingual Tasks via Proxy Models","venue":"cs.CL","work_id":"d7ac8cf9-c172-48fd-85f8-007518fefea3","year":2024},"citing_paper":{"arxiv_id":"2506.01789","last_updated":"2025-06-03T04:18:39Z","snapshot_observed_at":"2026-08-08T11:39:24.709844Z","submitted_at":"2025-06-02T15:31:52Z","title":"Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T11:36:43.445100Z"},"links":{"cited_paper":"/paper/2406.09334","citing_paper":"/paper/2506.01789"},"observation_digest":"sha256:2e7ce888af4d4bb2d123eb13fa34d9224b7ca75870dc43dd096343cbbcb1694e","observation_id":"6420eeb7-0349-4f49-ab31-7f668003d4f7","resolution":{"observed_at":"2026-08-07T11:36:43.836011Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:36:43.448147Z","title":"Anugraha, Z","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.01789","last_updated":"2025-06-03T04:18:39Z","snapshot_observed_at":"2026-08-08T11:39:24.709844Z","submitted_at":"2025-06-02T15:31:52Z","title":"Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T11:36:43.448147Z"},"links":{"citing_paper":"/paper/2506.01789"},"observation_digest":"sha256:e2b23b1e4aa474b29c8dd6d744ef3b7d73bb2e5b5e1e7f5721e1730206ce3eb2","observation_id":"ab29a06f-b1cc-468a-a407-425e176199e0","resolution":{"observed_at":"2026-08-07T11:36:43.448147Z","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":"2026-08-07T11:36:43.950005Z","title":null,"venue":null,"work_id":"4c39e3ab-3ca0-4681-a268-bceb6106d63c","year":2018},"citing_paper":{"arxiv_id":"2506.01789","last_updated":"2025-06-03T04:18:39Z","snapshot_observed_at":"2026-08-08T11:39:24.709844Z","submitted_at":"2025-06-02T15:31:52Z","title":"Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T11:36:43.451307Z"},"links":{"citing_paper":"/paper/2506.01789"},"observation_digest":"sha256:bfe3b80a7e79599171de6f28297e04e143b72f1fc8f0a45c9298f28fd160db9e","observation_id":"e302a4de-5348-4f60-b379-20c87c559256","resolution":{"observed_at":"2026-08-07T11:36:43.952833Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:36:43.454127Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.01789","last_updated":"2025-06-03T04:18:39Z","snapshot_observed_at":"2026-08-08T11:39:24.709844Z","submitted_at":"2025-06-02T15:31:52Z","title":"Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T11:36:43.454127Z"},"links":{"citing_paper":"/paper/2506.01789"},"observation_digest":"sha256:a68e31874cf22a3fed0061a476f27dadf231364b5e7e754a99b859453b75236b","observation_id":"eb5224c8-b613-4469-bafb-d397a7bdde8e","resolution":{"observed_at":"2026-08-07T11:36:43.454127Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.20864","last_updated":"2025-05-30T03:50:03Z","snapshot_observed_at":"2026-08-07T17:40:25.712564Z","submitted_at":"2025-02-28T09:05:35Z","title":"Do Language Models Understand Honorific Systems in Javanese?","version":2},"cited_work":{"arxiv_id":"2502.20864","doi":null,"metadata_source":"pith","pith_arxiv_id":"2502.20864","snapshot_observed_at":"2026-08-07T11:36:43.689512Z","title":"Do Language Models Understand Honorific Systems in Javanese?","venue":"cs.CL","work_id":"a37b1204-5eab-42a4-b340-e718db9d23ac","year":2025},"citing_paper":{"arxiv_id":"2506.01789","last_updated":"2025-06-03T04:18:39Z","snapshot_observed_at":"2026-08-08T11:39:24.709844Z","submitted_at":"2025-06-02T15:31:52Z","title":"Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T11:36:43.457495Z"},"links":{"cited_paper":"/paper/2502.20864","citing_paper":"/paper/2506.01789"},"observation_digest":"sha256:23f8cf38beaba244073ad2b7fc30820a1f4d53fc30beb228ee56bd7a2578e531","observation_id":"f2766136-d29a-4b05-94c2-220017945141","resolution":{"observed_at":"2026-08-07T11:36:43.693071Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:36:43.460551Z","title":"Gebru, J","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.01789","last_updated":"2025-06-03T04:18:39Z","snapshot_observed_at":"2026-08-08T11:39:24.709844Z","submitted_at":"2025-06-02T15:31:52Z","title":"Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T11:36:43.460551Z"},"links":{"citing_paper":"/paper/2506.01789"},"observation_digest":"sha256:3fc5d6f8754437fa4210a61f6364c6956660d2d3d01e679034185b2383bfeb40","observation_id":"cc86ab6a-ffe7-43c6-ba3a-46bdb3f65a49","resolution":{"observed_at":"2026-08-07T11:36:43.460551Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1805.03677","last_updated":"2018-05-09T18:10:02Z","snapshot_observed_at":"2026-08-06T03:48:59.015345Z","submitted_at":"2018-05-09T18:10:02Z","title":"The Dataset Nutrition Label: A Framework To Drive Higher Data Quality Standards","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1805.03677","snapshot_observed_at":"2026-08-07T11:36:43.464057Z","title":"Holland, A","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.01789","last_updated":"2025-06-03T04:18:39Z","snapshot_observed_at":"2026-08-08T11:39:24.709844Z","submitted_at":"2025-06-02T15:31:52Z","title":"Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T11:36:43.464057Z"},"links":{"cited_paper":"/paper/1805.03677","citing_paper":"/paper/2506.01789"},"observation_digest":"sha256:220952d497c0a75166343c2a20b5c3f9d6e075c9c59d17c727449a443554deb0","observation_id":"1f13771a-cf7f-4ce4-8ae6-7975fcd0b76e","resolution":{"observed_at":"2026-08-07T11:36:43.464057Z","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":"2026-08-07T11:36:43.933497Z","title":"Hutchinson, A","venue":null,"work_id":"c7d4d1ac-3b27-47be-b842-baaa0ad5e78d","year":2021},"citing_paper":{"arxiv_id":"2506.01789","last_updated":"2025-06-03T04:18:39Z","snapshot_observed_at":"2026-08-08T11:39:24.709844Z","submitted_at":"2025-06-02T15:31:52Z","title":"Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T11:36:43.467536Z"},"links":{"citing_paper":"/paper/2506.01789"},"observation_digest":"sha256:b9cadfb5a596d3868099e44cb9031e1cedcffffbd048d4532cc39c6f33159c33","observation_id":"4fa330af-fcf8-4e0c-ac37-14fc382a8738","resolution":{"observed_at":"2026-08-07T11:36:43.936363Z","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":"2026-08-07T11:36:43.923262Z","title":"Mihalcea, O","venue":null,"work_id":"bf8ed71a-4e34-48f9-8b4e-6a81b922adea","year":2025},"citing_paper":{"arxiv_id":"2506.01789","last_updated":"2025-06-03T04:18:39Z","snapshot_observed_at":"2026-08-08T11:39:24.709844Z","submitted_at":"2025-06-02T15:31:52Z","title":"Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T11:36:43.471209Z"},"links":{"citing_paper":"/paper/2506.01789"},"observation_digest":"sha256:a413e9e293bcee082ae42c3315d9a06de1ee15fb5b9481f28c3f5d5a50338e4e","observation_id":"3333eace-1ba3-4fac-b617-2d8a3307111a","resolution":{"observed_at":"2026-08-07T11:36:43.925893Z","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":"2026-08-07T11:36:43.912754Z","title":"Naous, M","venue":null,"work_id":"db2e83cb-9917-4943-8122-7c7c2096dee1","year":2024},"citing_paper":{"arxiv_id":"2506.01789","last_updated":"2025-06-03T04:18:39Z","snapshot_observed_at":"2026-08-08T11:39:24.709844Z","submitted_at":"2025-06-02T15:31:52Z","title":"Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T11:36:43.473790Z"},"links":{"citing_paper":"/paper/2506.01789"},"observation_digest":"sha256:6ee434a3a19773635bb83c239f246aecd40bfd7b403f00bee0c24142c988c6b2","observation_id":"fc24d7cf-715d-4903-afe7-b45bc0424108","resolution":{"observed_at":"2026-08-07T11:36:43.915797Z","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":"2026-08-07T11:36:43.898612Z","title":null,"venue":null,"work_id":"46a4488f-53f2-4ad6-8bdb-755d0bf4f654","year":2024},"citing_paper":{"arxiv_id":"2506.01789","last_updated":"2025-06-03T04:18:39Z","snapshot_observed_at":"2026-08-08T11:39:24.709844Z","submitted_at":"2025-06-02T15:31:52Z","title":"Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T11:36:43.476525Z"},"links":{"citing_paper":"/paper/2506.01789"},"observation_digest":"sha256:a27dd0ac9c973730ff21bf8eae1ee35972c82f4189edc40043099621a89a02c9","observation_id":"cb2a1080-1eb2-45a8-bd95-9b0bc9665a58","resolution":{"observed_at":"2026-08-07T11:36:43.902534Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:36:43.479034Z","title":"Poznanski, J","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.01789","last_updated":"2025-06-03T04:18:39Z","snapshot_observed_at":"2026-08-08T11:39:24.709844Z","submitted_at":"2025-06-02T15:31:52Z","title":"Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T11:36:43.479034Z"},"links":{"citing_paper":"/paper/2506.01789"},"observation_digest":"sha256:cc505912c6c113a6bc7acd761f9a3d6611948cf3ae4b76d75d1eabd5641039d9","observation_id":"c405c252-383b-4bc1-b4cc-c1e7edc09bd1","resolution":{"observed_at":"2026-08-07T11:36:43.479034Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17302","last_updated":"2024-10-05T02:02:27Z","snapshot_observed_at":"2026-08-13T04:09:22.287720Z","submitted_at":"2024-02-27T08:24:32Z","title":"Can LLM Generate Culturally Relevant Commonsense QA Data? Case Study in Indonesian and Sundanese","version":3},"cited_work":{"arxiv_id":"2402.17302","doi":null,"metadata_source":"pith","pith_arxiv_id":"2402.17302","snapshot_observed_at":"2026-08-07T11:36:43.556166Z","title":"Can LLM Generate Culturally Relevant Commonsense QA Data? Case Study in Indonesian and Sundanese","venue":"cs.CL","work_id":"95efa52d-5346-47fb-b6ff-6ad78c9b5e2d","year":2024},"citing_paper":{"arxiv_id":"2506.01789","last_updated":"2025-06-03T04:18:39Z","snapshot_observed_at":"2026-08-08T11:39:24.709844Z","submitted_at":"2025-06-02T15:31:52Z","title":"Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T11:36:43.481837Z"},"links":{"cited_paper":"/paper/2402.17302","citing_paper":"/paper/2506.01789"},"observation_digest":"sha256:2ac2673d2510e534bc14f3f661021b56560bd4c68a5f7c26957e576f290781ef","observation_id":"5027a0d6-2930-4728-8a00-c5439ffea004","resolution":{"observed_at":"2026-08-07T11:36:43.561280Z","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":{"arxiv_id":"2411.12990","last_updated":"2024-11-20T02:38:24Z","snapshot_observed_at":"2026-08-12T16:55:45.937188Z","submitted_at":"2024-11-20T02:38:24Z","title":"BetterBench: Assessing AI Benchmarks, Uncovering Issues, and Establishing Best Practices","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.12990","snapshot_observed_at":"2026-08-07T11:36:43.484989Z","title":"Reuel, A","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.01789","last_updated":"2025-06-03T04:18:39Z","snapshot_observed_at":"2026-08-08T11:39:24.709844Z","submitted_at":"2025-06-02T15:31:52Z","title":"Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T11:36:43.484989Z"},"links":{"cited_paper":"/paper/2411.12990","citing_paper":"/paper/2506.01789"},"observation_digest":"sha256:0bbd4464683e39dd62b08e11d6270fcde8ff1903ff764696471398109cdc67cc","observation_id":"3e1d9ded-0d97-46ea-9cbe-e0d406ce917c","resolution":{"observed_at":"2026-08-07T11:36:43.484989Z","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":"2026-08-07T11:36:43.487967Z","title":"Shumailov, Z","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.01789","last_updated":"2025-06-03T04:18:39Z","snapshot_observed_at":"2026-08-08T11:39:24.709844Z","submitted_at":"2025-06-02T15:31:52Z","title":"Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T11:36:43.487967Z"},"links":{"citing_paper":"/paper/2506.01789"},"observation_digest":"sha256:c48ca610aa2a0d0658a536f235d3bac738f3320be8cbad61fa392197489bb654","observation_id":"ed98a991-b50a-4e68-8a49-35e227e58dba","resolution":{"observed_at":"2026-08-07T11:36:43.487967Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.07899","last_updated":"2023-06-13T16:46:24Z","snapshot_observed_at":"2026-08-14T03:28:07.944868Z","submitted_at":"2023-06-13T16:46:24Z","title":"Artificial Artificial Artificial Intelligence: Crowd Workers Widely Use Large Language Models for Text Production Tasks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.07899","snapshot_observed_at":"2026-08-07T11:36:43.491246Z","title":"Veselovsky, M","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.01789","last_updated":"2025-06-03T04:18:39Z","snapshot_observed_at":"2026-08-08T11:39:24.709844Z","submitted_at":"2025-06-02T15:31:52Z","title":"Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T11:36:43.491246Z"},"links":{"cited_paper":"/paper/2306.07899","citing_paper":"/paper/2506.01789"},"observation_digest":"sha256:708a36e842b3d6a0f1d6861dff1f30b81c2e58f607da8f52723330ebb104a612","observation_id":"58c320cb-e588-45ab-9200-645bacb67194","resolution":{"observed_at":"2026-08-07T11:36:43.491246Z","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":"2026-08-07T11:36:43.889671Z","title":null,"venue":null,"work_id":"6a7dec7e-935a-4373-b767-a11ec09e8403","year":2024},"citing_paper":{"arxiv_id":"2506.01789","last_updated":"2025-06-03T04:18:39Z","snapshot_observed_at":"2026-08-08T11:39:24.709844Z","submitted_at":"2025-06-02T15:31:52Z","title":"Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T11:36:43.494142Z"},"links":{"citing_paper":"/paper/2506.01789"},"observation_digest":"sha256:8495a3999844299661b1b9b9eb7936b5cfa175f26eb0c4940637a3154726e446","observation_id":"b6780730-a576-4d63-a18f-193c17bf2fa1","resolution":{"observed_at":"2026-08-07T11:36:43.892631Z","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":"2026-08-07T11:36:43.880266Z","title":null,"venue":null,"work_id":"a4b83156-f876-4af4-a3fd-c50197d3927c","year":2024},"citing_paper":{"arxiv_id":"2506.01789","last_updated":"2025-06-03T04:18:39Z","snapshot_observed_at":"2026-08-08T11:39:24.709844Z","submitted_at":"2025-06-02T15:31:52Z","title":"Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T11:36:43.497389Z"},"links":{"citing_paper":"/paper/2506.01789"},"observation_digest":"sha256:3a9067cc5940aeaa9ea4b3bd284851ab7972ebac5a73c679ba6674b8878a2231","observation_id":"77433ab0-9155-4008-85c8-6b99dd078f09","resolution":{"observed_at":"2026-08-07T11:36:43.883530Z","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":"2026-08-07T11:36:43.868530Z","title":null,"venue":null,"work_id":"3cc4b6fb-ec89-48ca-ab1c-3a0e4d00336b","year":2025},"citing_paper":{"arxiv_id":"2506.01789","last_updated":"2025-06-03T04:18:39Z","snapshot_observed_at":"2026-08-08T11:39:24.709844Z","submitted_at":"2025-06-02T15:31:52Z","title":"Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T11:36:43.500736Z"},"links":{"citing_paper":"/paper/2506.01789"},"observation_digest":"sha256:1465f8816915403178ebbbb3712de87926cb5a215e664cb39e196545e6a36525","observation_id":"eb254ded-0dd3-4925-a52e-30a57b908eee","resolution":{"observed_at":"2026-08-07T11:36:43.871654Z","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":"2026-08-07T11:36:43.858475Z","title":"name\": \"sources","venue":null,"work_id":"72af4460-7346-4265-a040-55cd015fd645","year":2025},"citing_paper":{"arxiv_id":"2506.01789","last_updated":"2025-06-03T04:18:39Z","snapshot_observed_at":"2026-08-08T11:39:24.709844Z","submitted_at":"2025-06-02T15:31:52Z","title":"Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T11:36:43.503940Z"},"links":{"citing_paper":"/paper/2506.01789"},"observation_digest":"sha256:0b9e3a6004d142ef56d5a99157049b328a1ec1b0bb2894ef0a085d7a0453e467","observation_id":"d3248d3f-4aa0-4604-9afd-89ac660e429d","resolution":{"observed_at":"2026-08-07T11:36:43.861711Z","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"}}],"paper":{"arxiv_id":"2506.01789","last_updated":"2025-06-03T04:18:39Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-08T11:39:24.709844Z","submitted_at":"2025-06-02T15:31:52Z","title":"Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability"},"reference_resolution":{"displayed":22,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":14,"verified_exact":3,"verified_fuzzy":5},"total_outbound_references":22},"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 14 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 2 inbound Pith citation observations for arXiv:2506.01789."}