{"as_of":"2026-08-08T11:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:837248b0a1fe702490bdad2facab04ac4c83362ba9ee355ea99a40f7e061705c","coverage":[{"denominator":52,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":52,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:06:56.923263Z","state":"measured"},{"denominator":53,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":53,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-29T08:34:18.117267Z","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":"2026-06-29T08:53:16.474661Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.22813","last_updated":"2025-06-04T16:02:34Z","snapshot_observed_at":"2026-08-08T04:53:17.161864Z","submitted_at":"2025-05-28T19:41:37Z","title":"X-Factor: Quality Is a Dataset-Intrinsic Property","version":2},"cited_work":{"arxiv_id":"2505.22813","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.22813","snapshot_observed_at":"2026-06-29T08:53:16.474661Z","title":"X-factor: Quality is a dataset-intrinsic property.arXiv preprint arXiv:2505.22813,","venue":null,"work_id":"693de472-5223-40ad-9040-32b6aab735d3","year":null},"citing_paper":{"arxiv_id":"2605.29720","last_updated":"2026-05-28T10:15:46Z","snapshot_observed_at":"2026-07-06T23:39:05.858969Z","submitted_at":"2026-05-28T10:15:46Z","title":"Efficient, Validation-Free Intrinsic Quality Estimation for Large-Scale Face Recognition Datasets","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-29T08:34:18.117267Z"},"links":{"cited_paper":"/paper/2505.22813","citing_paper":"/paper/2605.29720"},"observation_digest":"sha256:6ab7530d0f02ee048e508ac4e9f53dbaa5cfbabf896b4e360e9622c115218457","observation_id":"9f9bbb98-effa-4fe3-8b8c-b31ac2178f7a","resolution":{"observed_at":"2026-06-29T08:53:16.476081Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2505.22813/citation-record","integrity":"/paper/2505.22813/integrity","json":"/paper/2505.22813/citation-record.json","paper":"/paper/2505.22813"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"1712.00409","last_updated":"2017-12-01T17:13:14Z","snapshot_observed_at":"2026-07-06T06:12:18.811024Z","submitted_at":"2017-12-01T17:13:14Z","title":"Deep Learning Scaling is Predictable, Empirically","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1712.00409","snapshot_observed_at":"2026-08-07T13:06:52.685995Z","title":"Hestness, S","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22813","last_updated":"2025-06-04T16:02:34Z","snapshot_observed_at":"2026-08-08T04:53:17.161864Z","submitted_at":"2025-05-28T19:41:37Z","title":"X-Factor: Quality Is a Dataset-Intrinsic Property","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T13:06:52.685995Z"},"links":{"cited_paper":"/paper/1712.00409","citing_paper":"/paper/2505.22813"},"observation_digest":"sha256:8817b5dc8c7df8c829e9ec06fe6bb79a3faeebabe03ebf103adee4c1e5ea966d","observation_id":"8167c959-9787-4025-bda9-9b16f546a73c","resolution":{"observed_at":"2026-08-07T13:06:52.685995Z","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":"2026-08-07T13:07:02.412850Z","title":"Ahmad and G","venue":null,"work_id":"94c45c83-952d-4b96-80b0-a894cfd65794","year":1988},"citing_paper":{"arxiv_id":"2505.22813","last_updated":"2025-06-04T16:02:34Z","snapshot_observed_at":"2026-08-08T04:53:17.161864Z","submitted_at":"2025-05-28T19:41:37Z","title":"X-Factor: Quality Is a Dataset-Intrinsic Property","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T13:06:52.793041Z"},"links":{"citing_paper":"/paper/2505.22813"},"observation_digest":"sha256:74137ba9bda4413384e0052e37f60b5d4c743087a809291ff8b9a75ddc53c016","observation_id":"8b05c566-49f5-47f2-8998-b478016ef26b","resolution":{"observed_at":"2026-08-07T13:07:02.497646Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2110.06990","last_updated":"2021-10-18T18:55:31Z","snapshot_observed_at":"2026-08-05T15:47:25.867135Z","submitted_at":"2021-10-13T19:07:01Z","title":"Scaling Laws for the Few-Shot Adaptation of Pre-trained Image Classifiers","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.06990","snapshot_observed_at":"2026-08-07T13:06:52.905179Z","title":"Prato, S","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22813","last_updated":"2025-06-04T16:02:34Z","snapshot_observed_at":"2026-08-08T04:53:17.161864Z","submitted_at":"2025-05-28T19:41:37Z","title":"X-Factor: Quality Is a Dataset-Intrinsic Property","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T13:06:52.905179Z"},"links":{"cited_paper":"/paper/2110.06990","citing_paper":"/paper/2505.22813"},"observation_digest":"sha256:1c4fb7f2518fb555cca016b19d0559b52416f9fe4d52a00bc057f6a4847f791c","observation_id":"3d6757ba-9d7c-4604-8c25-0a47ef5fb298","resolution":{"observed_at":"2026-08-07T13:06:52.905179Z","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":"2026-08-07T13:07:02.279776Z","title":"Althnian, D","venue":null,"work_id":"2974a44c-ae85-400f-aef4-d2249d6154d3","year":2021},"citing_paper":{"arxiv_id":"2505.22813","last_updated":"2025-06-04T16:02:34Z","snapshot_observed_at":"2026-08-08T04:53:17.161864Z","submitted_at":"2025-05-28T19:41:37Z","title":"X-Factor: Quality Is a Dataset-Intrinsic Property","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T13:06:53.040521Z"},"links":{"citing_paper":"/paper/2505.22813"},"observation_digest":"sha256:9aca1cb6a96866c48bbe7b0708f2adf04c122afe698929932ec044b61e5a5823","observation_id":"f3ec6ece-31e3-4312-81df-f4f6c806f8d6","resolution":{"observed_at":"2026-08-07T13:07:02.336732Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.14891","last_updated":"2023-07-24T00:05:04Z","snapshot_observed_at":"2026-08-07T16:10:09.620880Z","submitted_at":"2022-10-26T17:45:01Z","title":"Broken Neural Scaling Laws","version":17},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.14891","snapshot_observed_at":"2026-08-07T13:06:53.155107Z","title":"Caballero, K","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22813","last_updated":"2025-06-04T16:02:34Z","snapshot_observed_at":"2026-08-08T04:53:17.161864Z","submitted_at":"2025-05-28T19:41:37Z","title":"X-Factor: Quality Is a Dataset-Intrinsic Property","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T13:06:53.155107Z"},"links":{"cited_paper":"/paper/2210.14891","citing_paper":"/paper/2505.22813"},"observation_digest":"sha256:4fee37480cbc4e69d0043df4ed074f5603ca88d944c76e2d7b5cabd0125e36bf","observation_id":"ff8ca517-ba4c-4a01-8dc4-2717aae98264","resolution":{"observed_at":"2026-08-07T13:06:53.155107Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-08-07T07:30:12.213965Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-08-07T13:06:53.273314Z","title":"Achiam, S","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22813","last_updated":"2025-06-04T16:02:34Z","snapshot_observed_at":"2026-08-08T04:53:17.161864Z","submitted_at":"2025-05-28T19:41:37Z","title":"X-Factor: Quality Is a Dataset-Intrinsic Property","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T13:06:53.273314Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2505.22813"},"observation_digest":"sha256:ccb9d9391a45468f89a86f359aef52cffdec6f85546431ae1a1ab0feaa105a06","observation_id":"1a1e2714-9ecc-4063-8f47-36219e1414ea","resolution":{"observed_at":"2026-08-07T13:06:53.273314Z","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":"2026-08-07T13:07:01.988355Z","title":null,"venue":null,"work_id":"1b0764d2-eedc-43c7-92c4-ae2b6fb53312","year":1992},"citing_paper":{"arxiv_id":"2505.22813","last_updated":"2025-06-04T16:02:34Z","snapshot_observed_at":"2026-08-08T04:53:17.161864Z","submitted_at":"2025-05-28T19:41:37Z","title":"X-Factor: Quality Is a Dataset-Intrinsic Property","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T13:06:53.400931Z"},"links":{"citing_paper":"/paper/2505.22813"},"observation_digest":"sha256:34e19974d2706547da40581c9c99de939338db6690bcf161d43c28ef0f801c22","observation_id":"b3b9418c-d709-4420-b2c3-3bafe92db07d","resolution":{"observed_at":"2026-08-07T13:07:02.163884Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2102.06701","last_updated":"2024-04-29T00:55:09Z","snapshot_observed_at":"2026-08-05T10:38:06.663419Z","submitted_at":"2021-02-12T18:57:46Z","title":"Explaining Neural Scaling Laws","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2102.06701","snapshot_observed_at":"2026-08-07T13:06:53.544999Z","title":"Bahri, E","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.22813","last_updated":"2025-06-04T16:02:34Z","snapshot_observed_at":"2026-08-08T04:53:17.161864Z","submitted_at":"2025-05-28T19:41:37Z","title":"X-Factor: Quality Is a Dataset-Intrinsic Property","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T13:06:53.544999Z"},"links":{"cited_paper":"/paper/2102.06701","citing_paper":"/paper/2505.22813"},"observation_digest":"sha256:46f8694ea7a3f3f12cfb595f72f4c3bad17740379e452a207561280318a2519d","observation_id":"373e7a40-31f3-4bff-9395-9404b358661c","resolution":{"observed_at":"2026-08-07T13:06:53.544999Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.16859","last_updated":"2022-10-30T15:13:18Z","snapshot_observed_at":"2026-07-06T14:12:14.561840Z","submitted_at":"2022-10-30T15:13:18Z","title":"A Solvable Model of Neural Scaling Laws","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.16859","snapshot_observed_at":"2026-08-07T13:06:53.653585Z","title":"Maloney, D","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22813","last_updated":"2025-06-04T16:02:34Z","snapshot_observed_at":"2026-08-08T04:53:17.161864Z","submitted_at":"2025-05-28T19:41:37Z","title":"X-Factor: Quality Is a Dataset-Intrinsic Property","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T13:06:53.653585Z"},"links":{"cited_paper":"/paper/2210.16859","citing_paper":"/paper/2505.22813"},"observation_digest":"sha256:2eeeac2738bd35c501bb9906ddb84f09931e379852f9d02f122964b0ee396b80","observation_id":"1cce0274-4132-4d29-be3c-11cb913f1980","resolution":{"observed_at":"2026-08-07T13:06:53.653585Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.13506","last_updated":"2024-01-13T23:51:39Z","snapshot_observed_at":"2026-08-07T23:56:01.694697Z","submitted_at":"2023-03-23T17:58:43Z","title":"The Quantization Model of Neural Scaling","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.13506","snapshot_observed_at":"2026-08-07T13:06:53.783280Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22813","last_updated":"2025-06-04T16:02:34Z","snapshot_observed_at":"2026-08-08T04:53:17.161864Z","submitted_at":"2025-05-28T19:41:37Z","title":"X-Factor: Quality Is a Dataset-Intrinsic Property","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T13:06:53.783280Z"},"links":{"cited_paper":"/paper/2303.13506","citing_paper":"/paper/2505.22813"},"observation_digest":"sha256:c76693203a09b6d37dcb89fe46cca8b441d710551bfbffb432fb54c583085cd2","observation_id":"f59c1941-ee38-4b8d-ad20-1864b8a6bdf0","resolution":{"observed_at":"2026-08-07T13:06:53.783280Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.06563","last_updated":"2024-04-05T06:39:34Z","snapshot_observed_at":"2026-08-04T12:09:32.831508Z","submitted_at":"2024-03-11T10:05:29Z","title":"Unraveling the Mystery of Scaling Laws: Part I","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.06563","snapshot_observed_at":"2026-08-07T13:06:53.913613Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22813","last_updated":"2025-06-04T16:02:34Z","snapshot_observed_at":"2026-08-08T04:53:17.161864Z","submitted_at":"2025-05-28T19:41:37Z","title":"X-Factor: Quality Is a Dataset-Intrinsic Property","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T13:06:53.913613Z"},"links":{"cited_paper":"/paper/2403.06563","citing_paper":"/paper/2505.22813"},"observation_digest":"sha256:6e067119b85882cf5c859673d0c5bbf17242ac4fd35ddd4a938c4133af6b6fbe","observation_id":"27451594-2771-4a11-b3df-fa618f815306","resolution":{"observed_at":"2026-08-07T13:06:53.913613Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.19398","last_updated":"2024-05-29T18:00:01Z","snapshot_observed_at":"2026-07-06T18:22:14.521977Z","submitted_at":"2024-05-29T18:00:01Z","title":"Neural Scaling Laws From Large-N Field Theory: Solvable Model Beyond the Ridgeless Limit","version":1},"cited_work":{"arxiv_id":"2405.19398","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.19398","snapshot_observed_at":"2026-08-07T13:07:00.110094Z","title":"Neural Scaling Laws From Large-N Field Theory: Solvable Model Beyond the Ridgeless Limit","venue":"hep-th","work_id":"c60675ce-aec4-45e1-b009-4e74f2e6a235","year":2024},"citing_paper":{"arxiv_id":"2505.22813","last_updated":"2025-06-04T16:02:34Z","snapshot_observed_at":"2026-08-08T04:53:17.161864Z","submitted_at":"2025-05-28T19:41:37Z","title":"X-Factor: Quality Is a Dataset-Intrinsic Property","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T13:06:54.067925Z"},"links":{"cited_paper":"/paper/2405.19398","citing_paper":"/paper/2505.22813"},"observation_digest":"sha256:6b9d619666b751f84bf81682a050c9af81b1f6b46e91355834fefb98f73dcf64","observation_id":"90914745-586f-4063-910d-eff13b62a316","resolution":{"observed_at":"2026-08-07T13:07:00.204868Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01092","last_updated":"2024-06-23T10:46:17Z","snapshot_observed_at":"2026-08-06T19:33:29.368862Z","submitted_at":"2024-02-02T01:41:38Z","title":"A Dynamical Model of Neural Scaling Laws","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.01092","snapshot_observed_at":"2026-08-07T13:06:54.228526Z","title":"Bordelon, A","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22813","last_updated":"2025-06-04T16:02:34Z","snapshot_observed_at":"2026-08-08T04:53:17.161864Z","submitted_at":"2025-05-28T19:41:37Z","title":"X-Factor: Quality Is a Dataset-Intrinsic Property","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T13:06:54.228526Z"},"links":{"cited_paper":"/paper/2402.01092","citing_paper":"/paper/2505.22813"},"observation_digest":"sha256:78d41fe9861e4117b763268605d237a8f99c964f9953a128b3a777c5eaf18c58","observation_id":"9a8e5cdd-6d41-4973-a188-fbe1920d1554","resolution":{"observed_at":"2026-08-07T13:06:54.228526Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.00592","last_updated":"2025-06-30T15:11:57Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-05-01T15:59:00Z","title":"Scaling and renormalization in high-dimensional regression","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.00592","snapshot_observed_at":"2026-08-07T13:06:54.388623Z","title":"Atanasov, J","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22813","last_updated":"2025-06-04T16:02:34Z","snapshot_observed_at":"2026-08-08T04:53:17.161864Z","submitted_at":"2025-05-28T19:41:37Z","title":"X-Factor: Quality Is a Dataset-Intrinsic Property","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T13:06:54.388623Z"},"links":{"cited_paper":"/paper/2405.00592","citing_paper":"/paper/2505.22813"},"observation_digest":"sha256:b9a2e9cbd249060b9eeb9d627ddf5a8c7ee646c3e74946818aa22d98689d8cee","observation_id":"4e62dd12-074c-4946-979d-272858aa610c","resolution":{"observed_at":"2026-08-07T13:06:54.388623Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.16377","last_updated":"2024-12-07T22:50:41Z","snapshot_observed_at":"2026-08-05T11:33:45.483902Z","submitted_at":"2024-10-21T18:00:06Z","title":"A Simple Model of Inference Scaling Laws","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.16377","snapshot_observed_at":"2026-08-07T13:06:54.539842Z","title":"Levi,A simple model of inference scaling laws,2410.16377","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22813","last_updated":"2025-06-04T16:02:34Z","snapshot_observed_at":"2026-08-08T04:53:17.161864Z","submitted_at":"2025-05-28T19:41:37Z","title":"X-Factor: Quality Is a Dataset-Intrinsic Property","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T13:06:54.539842Z"},"links":{"cited_paper":"/paper/2410.16377","citing_paper":"/paper/2505.22813"},"observation_digest":"sha256:4f02b39dc2401e635fc31d22230d93c155c7f37545212b2c70fada36d1e45fc4","observation_id":"ef112014-aace-4ede-bb9c-ed9750e81fc7","resolution":{"observed_at":"2026-08-07T13:06:54.539842Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.07942","last_updated":"2024-12-10T22:01:38Z","snapshot_observed_at":"2026-07-06T20:04:57.037551Z","submitted_at":"2024-12-10T22:01:38Z","title":"Neural Scaling Laws Rooted in the Data Distribution","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.07942","snapshot_observed_at":"2026-08-07T13:06:54.697551Z","title":"Brill,Neural scaling laws rooted in the data distribution,2412.07942","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22813","last_updated":"2025-06-04T16:02:34Z","snapshot_observed_at":"2026-08-08T04:53:17.161864Z","submitted_at":"2025-05-28T19:41:37Z","title":"X-Factor: Quality Is a Dataset-Intrinsic Property","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T13:06:54.697551Z"},"links":{"cited_paper":"/paper/2412.07942","citing_paper":"/paper/2505.22813"},"observation_digest":"sha256:ecf768ca9d0ba59b48e88090d6e97fc435b3931a39c7b6a9bd7a536816ec303d","observation_id":"32951d2c-0513-49bf-a461-e51d41d38fe3","resolution":{"observed_at":"2026-08-07T13:06:54.697551Z","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":"2026-08-07T13:07:01.718739Z","title":"Riley,Three pitfalls to avoid in machine learning,Nature572(2019) 27","venue":null,"work_id":"8154cd82-63e8-4ec2-befd-b8ae90b101de","year":2019},"citing_paper":{"arxiv_id":"2505.22813","last_updated":"2025-06-04T16:02:34Z","snapshot_observed_at":"2026-08-08T04:53:17.161864Z","submitted_at":"2025-05-28T19:41:37Z","title":"X-Factor: Quality Is a Dataset-Intrinsic Property","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T13:06:54.853602Z"},"links":{"citing_paper":"/paper/2505.22813"},"observation_digest":"sha256:7c7e29b16273d157ae6d36782c005606e085e7558df6634cc60a13ce320eed1d","observation_id":"02aec84f-5a22-4be7-81e1-0db5f36b7657","resolution":{"observed_at":"2026-08-07T13:07:01.876548Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.15724","last_updated":"2024-07-31T21:20:53Z","snapshot_observed_at":"2026-08-07T11:50:57.177486Z","submitted_at":"2024-07-22T15:28:51Z","title":"Beyond Size and Class Balance: Alpha as a New Dataset Quality Metric for Deep Learning","version":2},"cited_work":{"arxiv_id":"2407.15724","doi":null,"metadata_source":"pith","pith_arxiv_id":"2407.15724","snapshot_observed_at":"2026-08-07T13:06:59.882624Z","title":"Beyond Size and Class Balance: Alpha as a New Dataset Quality Metric for Deep Learning","venue":"cs.CV","work_id":"80c82950-c597-46df-99bf-745773260301","year":2024},"citing_paper":{"arxiv_id":"2505.22813","last_updated":"2025-06-04T16:02:34Z","snapshot_observed_at":"2026-08-08T04:53:17.161864Z","submitted_at":"2025-05-28T19:41:37Z","title":"X-Factor: Quality Is a Dataset-Intrinsic Property","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T13:06:55.019629Z"},"links":{"cited_paper":"/paper/2407.15724","citing_paper":"/paper/2505.22813"},"observation_digest":"sha256:7d0411fd27f714264a6100a422dd645ce3354e4846aa9195326553927a152821","observation_id":"9a3416b9-6d04-426e-aa41-2188050a9596","resolution":{"observed_at":"2026-08-07T13:06:59.933151Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T13:07:01.501501Z","title":"Leinster and C","venue":null,"work_id":"b4bd476f-b267-4aac-846a-97fa4426ff7b","year":2012},"citing_paper":{"arxiv_id":"2505.22813","last_updated":"2025-06-04T16:02:34Z","snapshot_observed_at":"2026-08-08T04:53:17.161864Z","submitted_at":"2025-05-28T19:41:37Z","title":"X-Factor: Quality Is a Dataset-Intrinsic Property","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T13:06:55.173042Z"},"links":{"citing_paper":"/paper/2505.22813"},"observation_digest":"sha256:ebe9b26f830bc242ea59d6039523a5195d8c9495900e297a7a53ac2d2ef276c1","observation_id":"0e4286a6-033d-4637-a851-f2c8f97383d3","resolution":{"observed_at":"2026-08-07T13:07:01.604146Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1404.6520","last_updated":"2016-12-08T20:38:57Z","snapshot_observed_at":"2026-07-06T03:42:05.049744Z","submitted_at":"2014-04-25T19:58:04Z","title":"How to partition diversity","version":3},"cited_work":{"arxiv_id":"1404.6520","doi":null,"metadata_source":"pith","pith_arxiv_id":"1404.6520","snapshot_observed_at":"2026-08-07T13:06:59.668505Z","title":"How to partition diversity","venue":"q-bio.QM","work_id":"6440d6b5-6ce7-4fa2-9d8f-35417662cc3a","year":2014},"citing_paper":{"arxiv_id":"2505.22813","last_updated":"2025-06-04T16:02:34Z","snapshot_observed_at":"2026-08-08T04:53:17.161864Z","submitted_at":"2025-05-28T19:41:37Z","title":"X-Factor: Quality Is a Dataset-Intrinsic Property","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T13:06:55.222539Z"},"links":{"cited_paper":"/paper/1404.6520","citing_paper":"/paper/2505.22813"},"observation_digest":"sha256:be6ee5372e36971ab56dd3c68a6809f551820dd855c0dac372ce91092feb9f21","observation_id":"f63b2f26-76c5-4238-a867-a3fb65102308","resolution":{"observed_at":"2026-08-07T13:06:59.751784Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2012.02113","last_updated":"2024-12-03T23:46:49Z","snapshot_observed_at":"2026-08-08T04:02:45.182558Z","submitted_at":"2020-12-03T17:47:44Z","title":"Entropy and Diversity: The Axiomatic Approach","version":4},"cited_work":{"arxiv_id":"2012.02113","doi":null,"metadata_source":"pith","pith_arxiv_id":"2012.02113","snapshot_observed_at":"2026-08-07T13:06:59.490794Z","title":"Entropy and Diversity: The Axiomatic Approach","venue":"q-bio.PE","work_id":"e13eadf4-cfff-4089-8b1b-f2eba5f6516b","year":2020},"citing_paper":{"arxiv_id":"2505.22813","last_updated":"2025-06-04T16:02:34Z","snapshot_observed_at":"2026-08-08T04:53:17.161864Z","submitted_at":"2025-05-28T19:41:37Z","title":"X-Factor: Quality Is a Dataset-Intrinsic Property","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T13:06:55.264632Z"},"links":{"cited_paper":"/paper/2012.02113","citing_paper":"/paper/2505.22813"},"observation_digest":"sha256:6500332c4c504f6040112db7d9fdbaa3d7d09eacf55a39492c94512abdedb71b","observation_id":"3f47c544-c657-4a48-99fc-d904eac9b3d9","resolution":{"observed_at":"2026-08-07T13:06:59.526739Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1112.5745","last_updated":"2011-12-24T17:53:19Z","snapshot_observed_at":"2026-07-06T02:40:01.191970Z","submitted_at":"2011-12-24T17:53:19Z","title":"Bayesian Active Learning for Classification and Preference Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1112.5745","snapshot_observed_at":"2026-08-07T13:06:55.323813Z","title":"Houlsby, F","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22813","last_updated":"2025-06-04T16:02:34Z","snapshot_observed_at":"2026-08-08T04:53:17.161864Z","submitted_at":"2025-05-28T19:41:37Z","title":"X-Factor: Quality Is a Dataset-Intrinsic Property","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T13:06:55.323813Z"},"links":{"cited_paper":"/paper/1112.5745","citing_paper":"/paper/2505.22813"},"observation_digest":"sha256:820c055bdafa3246a9a9d6dbb2f1a7d6bba51d3fb7e6230295053a54b593126b","observation_id":"80f0ea66-e487-432e-bde6-112df9a7f41b","resolution":{"observed_at":"2026-08-07T13:06:55.323813Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1703.02910","last_updated":"2017-03-08T16:53:57Z","snapshot_observed_at":"2026-07-06T05:32:54.087537Z","submitted_at":"2017-03-08T16:53:57Z","title":"Deep Bayesian Active Learning with Image Data","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1703.02910","snapshot_observed_at":"2026-08-07T13:06:55.385923Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22813","last_updated":"2025-06-04T16:02:34Z","snapshot_observed_at":"2026-08-08T04:53:17.161864Z","submitted_at":"2025-05-28T19:41:37Z","title":"X-Factor: Quality Is a Dataset-Intrinsic Property","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T13:06:55.385923Z"},"links":{"cited_paper":"/paper/1703.02910","citing_paper":"/paper/2505.22813"},"observation_digest":"sha256:e011fb7223b7edc794833869cec63c934efc8ef3a04f723fb44cee42671d12ce","observation_id":"5a4c1a5e-c6d3-407e-b380-4adbc0e309a2","resolution":{"observed_at":"2026-08-07T13:06:55.385923Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2009.00236","last_updated":"2021-12-05T22:20:32Z","snapshot_observed_at":"2026-07-06T09:51:44.763077Z","submitted_at":"2020-08-30T04:28:31Z","title":"A Survey of Deep Active Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2009.00236","snapshot_observed_at":"2026-08-07T13:06:55.440582Z","title":null,"venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2505.22813","last_updated":"2025-06-04T16:02:34Z","snapshot_observed_at":"2026-08-08T04:53:17.161864Z","submitted_at":"2025-05-28T19:41:37Z","title":"X-Factor: Quality Is a Dataset-Intrinsic Property","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T13:06:55.440582Z"},"links":{"cited_paper":"/paper/2009.00236","citing_paper":"/paper/2505.22813"},"observation_digest":"sha256:6b584c1f8485933e7c6d94aecb6afeb4f4e2167ee6c187df6c347f69f9d59783","observation_id":"4d470663-ae97-4c76-b8d2-f283eb0073bc","resolution":{"observed_at":"2026-08-07T13:06:55.440582Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2208.03020","last_updated":"2022-08-05T07:22:08Z","snapshot_observed_at":"2026-08-05T17:20:45.018377Z","submitted_at":"2022-08-05T07:22:08Z","title":"Deep Bayesian Active-Learning-to-Rank for Endoscopic Image Data","version":1},"cited_work":{"arxiv_id":"2208.03020","doi":null,"metadata_source":"pith","pith_arxiv_id":"2208.03020","snapshot_observed_at":"2026-08-07T13:06:59.282649Z","title":"Deep Bayesian Active-Learning-to-Rank for Endoscopic Image Data","venue":"cs.CV","work_id":"98b35f65-01af-42be-8bd7-87dc80100b6b","year":2022},"citing_paper":{"arxiv_id":"2505.22813","last_updated":"2025-06-04T16:02:34Z","snapshot_observed_at":"2026-08-08T04:53:17.161864Z","submitted_at":"2025-05-28T19:41:37Z","title":"X-Factor: Quality Is a Dataset-Intrinsic Property","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T13:06:55.500417Z"},"links":{"cited_paper":"/paper/2208.03020","citing_paper":"/paper/2505.22813"},"observation_digest":"sha256:6e6b42ede62fd0520f7fcb47dc8dee17f32f719b4c6e71c71ae7453c4209b3ea","observation_id":"8605f56d-e0fa-4e91-a94b-3fa5fe46b224","resolution":{"observed_at":"2026-08-07T13:06:59.348783Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.12059","last_updated":"2023-09-19T21:20:38Z","snapshot_observed_at":"2026-08-03T21:53:06.577092Z","submitted_at":"2021-06-22T21:07:50Z","title":"Stochastic Batch Acquisition: A Simple Baseline for Deep Active Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.12059","snapshot_observed_at":"2026-08-07T13:06:55.556625Z","title":"Kirsch, S","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22813","last_updated":"2025-06-04T16:02:34Z","snapshot_observed_at":"2026-08-08T04:53:17.161864Z","submitted_at":"2025-05-28T19:41:37Z","title":"X-Factor: Quality Is a Dataset-Intrinsic Property","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T13:06:55.556625Z"},"links":{"cited_paper":"/paper/2106.12059","citing_paper":"/paper/2505.22813"},"observation_digest":"sha256:6f3e74dc6f86a96a45187512546dbd8dcbe88535c36cc127ea6f17aaab4e2450","observation_id":"1a305f79-aaaf-46d2-9aa7-f99f4fb2c1c5","resolution":{"observed_at":"2026-08-07T13:06:55.556625Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2208.00549","last_updated":"2022-11-06T20:26:33Z","snapshot_observed_at":"2026-08-06T12:48:58.603302Z","submitted_at":"2022-08-01T00:36:57Z","title":"Unifying Approaches in Active Learning and Active Sampling via Fisher Information and Information-Theoretic Quantities","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2208.00549","snapshot_observed_at":"2026-08-07T13:06:55.616171Z","title":"Kirsch and Y","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22813","last_updated":"2025-06-04T16:02:34Z","snapshot_observed_at":"2026-08-08T04:53:17.161864Z","submitted_at":"2025-05-28T19:41:37Z","title":"X-Factor: Quality Is a Dataset-Intrinsic Property","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T13:06:55.616171Z"},"links":{"cited_paper":"/paper/2208.00549","citing_paper":"/paper/2505.22813"},"observation_digest":"sha256:b317258916df28df5aa9e71eb7682a3b644740bde49db4e9717597ca58ecc7ec","observation_id":"620ec1c4-e7b2-443d-9355-f94784f4581a","resolution":{"observed_at":"2026-08-07T13:06:55.616171Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07137","last_updated":"2022-09-26T17:28:16Z","snapshot_observed_at":"2026-07-06T13:20:51.362304Z","submitted_at":"2022-06-14T19:49:52Z","title":"Prioritized Training on Points that are Learnable, Worth Learning, and Not Yet Learnt","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.07137","snapshot_observed_at":"2026-08-07T13:06:55.678187Z","title":"Mindermann, J","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22813","last_updated":"2025-06-04T16:02:34Z","snapshot_observed_at":"2026-08-08T04:53:17.161864Z","submitted_at":"2025-05-28T19:41:37Z","title":"X-Factor: Quality Is a Dataset-Intrinsic Property","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T13:06:55.678187Z"},"links":{"cited_paper":"/paper/2206.07137","citing_paper":"/paper/2505.22813"},"observation_digest":"sha256:39100d2d1e2b96d2372d8291d84a7ca2950006fa35f251dc2966644beb02a802","observation_id":"22a7eac7-3664-4050-9d30-d3baa2c4adcb","resolution":{"observed_at":"2026-08-07T13:06:55.678187Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2111.02275","last_updated":"2022-02-01T11:14:29Z","snapshot_observed_at":"2026-08-02T21:51:46.127867Z","submitted_at":"2021-11-03T15:11:39Z","title":"Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data","version":2},"cited_work":{"arxiv_id":"2111.02275","doi":null,"metadata_source":"pith","pith_arxiv_id":"2111.02275","snapshot_observed_at":"2026-08-07T13:06:58.973583Z","title":"Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data","venue":"cs.LG","work_id":"7252527c-3185-4385-a382-801bd46fe271","year":2021},"citing_paper":{"arxiv_id":"2505.22813","last_updated":"2025-06-04T16:02:34Z","snapshot_observed_at":"2026-08-08T04:53:17.161864Z","submitted_at":"2025-05-28T19:41:37Z","title":"X-Factor: Quality Is a Dataset-Intrinsic Property","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T13:06:55.730895Z"},"links":{"cited_paper":"/paper/2111.02275","citing_paper":"/paper/2505.22813"},"observation_digest":"sha256:f97fd27b67fe655825d807728a037653363b3fd97ba2ba7a689d4390c4e4aeda","observation_id":"819d3633-5096-4c5f-ad39-fca053267a52","resolution":{"observed_at":"2026-08-07T13:06:59.107279Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2203.11010","last_updated":"2022-12-16T13:18:30Z","snapshot_observed_at":"2026-08-06T08:12:28.754017Z","submitted_at":"2022-03-21T14:26:00Z","title":"Sparse inference and active learning of stochastic differential equations from data","version":3},"cited_work":{"arxiv_id":"2203.11010","doi":null,"metadata_source":"pith","pith_arxiv_id":"2203.11010","snapshot_observed_at":"2026-08-07T13:06:58.837078Z","title":"Sparse inference and active learning of stochastic differential equations from data","venue":"cond-mat.stat-mech","work_id":"6903741e-7b0a-42e9-b116-812238b37f5b","year":2022},"citing_paper":{"arxiv_id":"2505.22813","last_updated":"2025-06-04T16:02:34Z","snapshot_observed_at":"2026-08-08T04:53:17.161864Z","submitted_at":"2025-05-28T19:41:37Z","title":"X-Factor: Quality Is a Dataset-Intrinsic Property","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T13:06:55.775533Z"},"links":{"cited_paper":"/paper/2203.11010","citing_paper":"/paper/2505.22813"},"observation_digest":"sha256:c1bc43b5ecc0e86df55387dd49b2b1fa1cf4dceca428607de7d30b4dcac510b4","observation_id":"fe8cad30-c519-4437-95b6-4347639d9618","resolution":{"observed_at":"2026-08-07T13:06:58.887495Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2205.10186","last_updated":"2023-01-15T00:27:39Z","snapshot_observed_at":"2026-07-06T13:12:05.091944Z","submitted_at":"2022-05-20T13:52:04Z","title":"Bayesian Active Learning with Fully Bayesian Gaussian Processes","version":3},"cited_work":{"arxiv_id":"2205.10186","doi":null,"metadata_source":"pith","pith_arxiv_id":"2205.10186","snapshot_observed_at":"2026-08-07T13:06:58.606296Z","title":"Bayesian Active Learning with Fully Bayesian Gaussian Processes","venue":"cs.LG","work_id":"1170ee64-7203-472e-a0f0-52c86da72adb","year":2022},"citing_paper":{"arxiv_id":"2505.22813","last_updated":"2025-06-04T16:02:34Z","snapshot_observed_at":"2026-08-08T04:53:17.161864Z","submitted_at":"2025-05-28T19:41:37Z","title":"X-Factor: Quality Is a Dataset-Intrinsic Property","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T13:06:55.839397Z"},"links":{"cited_paper":"/paper/2205.10186","citing_paper":"/paper/2505.22813"},"observation_digest":"sha256:803c475bf79920cca4ebe526a1a643c9efc3d75c3074f0a4653be39f0f8c2816","observation_id":"cf735149-6eed-448e-90fa-ce3e0016a7a2","resolution":{"observed_at":"2026-08-07T13:06:58.721083Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2205.15458","last_updated":"2022-08-18T20:51:37Z","snapshot_observed_at":"2026-08-07T18:39:52.243481Z","submitted_at":"2022-05-30T23:01:41Z","title":"Bayesian Active Learning for Scanning Probe Microscopy: from Gaussian Processes to Hypothesis Learning","version":2},"cited_work":{"arxiv_id":"2205.15458","doi":null,"metadata_source":"pith","pith_arxiv_id":"2205.15458","snapshot_observed_at":"2026-08-07T13:06:58.431078Z","title":"Bayesian Active Learning for Scanning Probe Microscopy: from Gaussian Processes to Hypothesis Learning","venue":"cond-mat.mtrl-sci","work_id":"015c4317-d2d4-4bdb-834f-66f4f6123750","year":2022},"citing_paper":{"arxiv_id":"2505.22813","last_updated":"2025-06-04T16:02:34Z","snapshot_observed_at":"2026-08-08T04:53:17.161864Z","submitted_at":"2025-05-28T19:41:37Z","title":"X-Factor: Quality Is a Dataset-Intrinsic Property","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T13:06:55.895592Z"},"links":{"cited_paper":"/paper/2205.15458","citing_paper":"/paper/2505.22813"},"observation_digest":"sha256:04f0cfab7b83dfab0d566721c7901b28f8e627579183dade4fa02f8a45bb884a","observation_id":"05725506-907f-4e85-be30-f096ed1a5f1c","resolution":{"observed_at":"2026-08-07T13:06:58.526047Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.09798","last_updated":"2023-11-07T13:54:57Z","snapshot_observed_at":"2026-08-07T07:38:57.344001Z","submitted_at":"2022-06-20T14:28:19Z","title":"Using Sum-Product Networks to Assess Uncertainty in Deep Active Learning","version":2},"cited_work":{"arxiv_id":"2206.09798","doi":null,"metadata_source":"pith","pith_arxiv_id":"2206.09798","snapshot_observed_at":"2026-08-07T13:06:58.221159Z","title":"Using Sum-Product Networks to Assess Uncertainty in Deep Active Learning","venue":"cs.LG","work_id":"820e8d04-031b-4cc4-ac16-b8635dc24135","year":2022},"citing_paper":{"arxiv_id":"2505.22813","last_updated":"2025-06-04T16:02:34Z","snapshot_observed_at":"2026-08-08T04:53:17.161864Z","submitted_at":"2025-05-28T19:41:37Z","title":"X-Factor: Quality Is a Dataset-Intrinsic Property","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T13:06:55.952485Z"},"links":{"cited_paper":"/paper/2206.09798","citing_paper":"/paper/2505.22813"},"observation_digest":"sha256:9f1d00098350586e322c8acf18ab831e06689117ad21250c49232a24fb6b33da","observation_id":"4e325200-6cbc-45e9-90e5-b643f57e7ef0","resolution":{"observed_at":"2026-08-07T13:06:58.326907Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1101/2021.05.22.21257645","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:06:57.011152Z","title":"Chinn, R","venue":null,"work_id":"decbb63a-7624-4e38-83d1-d7c2558244d7","year":2023},"citing_paper":{"arxiv_id":"2505.22813","last_updated":"2025-06-04T16:02:34Z","snapshot_observed_at":"2026-08-08T04:53:17.161864Z","submitted_at":"2025-05-28T19:41:37Z","title":"X-Factor: Quality Is a Dataset-Intrinsic Property","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T13:06:56.006385Z"},"links":{"citing_paper":"/paper/2505.22813"},"observation_digest":"sha256:a3159f4eab50247e725fe755e776035579a132efe68768dbc51814539d8ab4d0","observation_id":"242bb0a0-ca81-4d4e-b907-0523fddecb9e","resolution":{"observed_at":"2026-08-07T13:06:57.043144Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T13:07:01.244844Z","title":"Chinn, R","venue":null,"work_id":"19cbb46a-fae8-44c0-8e71-e03b404a898d","year":2023},"citing_paper":{"arxiv_id":"2505.22813","last_updated":"2025-06-04T16:02:34Z","snapshot_observed_at":"2026-08-08T04:53:17.161864Z","submitted_at":"2025-05-28T19:41:37Z","title":"X-Factor: Quality Is a Dataset-Intrinsic Property","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T13:06:56.065295Z"},"links":{"citing_paper":"/paper/2505.22813"},"observation_digest":"sha256:c5c9e5e7899f11e17a33080cb52a989fdeb4179c3698fadbcb4fa42e917f7a79","observation_id":"6766508b-6177-496f-b747-989512855082","resolution":{"observed_at":"2026-08-07T13:07:01.356786Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.02268","last_updated":"2025-03-03T05:32:47Z","snapshot_observed_at":"2026-08-03T20:53:36.084980Z","submitted_at":"2024-10-03T07:40:14Z","title":"Structural-Entropy-Based Sample Selection for Efficient and Effective Learning","version":3},"cited_work":{"arxiv_id":"2410.02268","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.02268","snapshot_observed_at":"2026-08-07T13:06:58.054117Z","title":"Structural-Entropy-Based Sample Selection for Efficient and Effective Learning","venue":"cs.LG","work_id":"5d26dc41-ef0c-4b8e-96fd-ab60e66fc3f7","year":2024},"citing_paper":{"arxiv_id":"2505.22813","last_updated":"2025-06-04T16:02:34Z","snapshot_observed_at":"2026-08-08T04:53:17.161864Z","submitted_at":"2025-05-28T19:41:37Z","title":"X-Factor: Quality Is a Dataset-Intrinsic Property","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T13:06:56.143044Z"},"links":{"cited_paper":"/paper/2410.02268","citing_paper":"/paper/2505.22813"},"observation_digest":"sha256:a52ade9ddf610baa69b4078b84890cd628d8df47ffd966257af68f33fe9a5546","observation_id":"33b7104e-b3ac-4663-833e-e368a7f141ea","resolution":{"observed_at":"2026-08-07T13:06:58.103804Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.14486","last_updated":"2023-04-21T20:14:07Z","snapshot_observed_at":"2026-08-06T08:23:38.603928Z","submitted_at":"2022-06-29T09:20:47Z","title":"Beyond neural scaling laws: beating power law scaling via data pruning","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.14486","snapshot_observed_at":"2026-08-07T13:06:56.200632Z","title":"Sorscher, R","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.22813","last_updated":"2025-06-04T16:02:34Z","snapshot_observed_at":"2026-08-08T04:53:17.161864Z","submitted_at":"2025-05-28T19:41:37Z","title":"X-Factor: Quality Is a Dataset-Intrinsic Property","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T13:06:56.200632Z"},"links":{"cited_paper":"/paper/2206.14486","citing_paper":"/paper/2505.22813"},"observation_digest":"sha256:a3876ebe8655eecd4d27aacf79c160bbb65e43d65902ec042904da1902948324","observation_id":"c628f9f8-2046-4686-84b1-1a49bdccd5cd","resolution":{"observed_at":"2026-08-07T13:06:56.200632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.07931","last_updated":"2023-10-11T23:01:29Z","snapshot_observed_at":"2026-07-06T16:31:33.607406Z","submitted_at":"2023-10-11T23:01:29Z","title":"D2 Pruning: Message Passing for Balancing Diversity and Difficulty in Data Pruning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.07931","snapshot_observed_at":"2026-08-07T13:06:56.261784Z","title":"Maharana, P","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.22813","last_updated":"2025-06-04T16:02:34Z","snapshot_observed_at":"2026-08-08T04:53:17.161864Z","submitted_at":"2025-05-28T19:41:37Z","title":"X-Factor: Quality Is a Dataset-Intrinsic Property","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T13:06:56.261784Z"},"links":{"cited_paper":"/paper/2310.07931","citing_paper":"/paper/2505.22813"},"observation_digest":"sha256:c73af1fe346b25f926be57d0b20722a16095c22f045a3349fa57590e3f0a4474","observation_id":"914bd4a5-71ac-4c68-8f8d-ed014522f435","resolution":{"observed_at":"2026-08-07T13:06:56.261784Z","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":"2026-08-07T13:07:00.993971Z","title":"Har-Peled and A","venue":null,"work_id":"f9ba864b-e2c6-4f40-b3d2-01a4eed2f793","year":2007},"citing_paper":{"arxiv_id":"2505.22813","last_updated":"2025-06-04T16:02:34Z","snapshot_observed_at":"2026-08-08T04:53:17.161864Z","submitted_at":"2025-05-28T19:41:37Z","title":"X-Factor: Quality Is a Dataset-Intrinsic Property","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T13:06:56.306794Z"},"links":{"citing_paper":"/paper/2505.22813"},"observation_digest":"sha256:c33819f3d94af4627633761390a26651cf0dcdfe822bc19d677651dd9bba20ce","observation_id":"e709844c-2aca-4327-8d21-f5f604364aeb","resolution":{"observed_at":"2026-08-07T13:07:01.144377Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.07760","last_updated":"2021-10-28T01:58:48Z","snapshot_observed_at":"2026-07-06T11:19:14.191458Z","submitted_at":"2021-06-14T21:18:47Z","title":"RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning","version":2},"cited_work":{"arxiv_id":"2106.07760","doi":null,"metadata_source":"pith","pith_arxiv_id":"2106.07760","snapshot_observed_at":"2026-08-07T13:06:57.833200Z","title":"RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning","venue":"cs.LG","work_id":"ab35271b-4eec-4835-8a0a-232c0f7909dc","year":2021},"citing_paper":{"arxiv_id":"2505.22813","last_updated":"2025-06-04T16:02:34Z","snapshot_observed_at":"2026-08-08T04:53:17.161864Z","submitted_at":"2025-05-28T19:41:37Z","title":"X-Factor: Quality Is a Dataset-Intrinsic Property","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T13:06:56.349282Z"},"links":{"cited_paper":"/paper/2106.07760","citing_paper":"/paper/2505.22813"},"observation_digest":"sha256:ae98c39c7ec00d242e34f7e45aace11f2a21d257348a6dc342a7d0a08ffe8bca","observation_id":"f65b6bf0-2728-4f7e-be92-7f3e7f9b411e","resolution":{"observed_at":"2026-08-07T13:06:57.902136Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2204.08499","last_updated":"2022-06-29T11:33:48Z","snapshot_observed_at":"2026-08-05T20:16:31.473274Z","submitted_at":"2022-04-18T18:14:30Z","title":"DeepCore: A Comprehensive Library for Coreset Selection in Deep Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.08499","snapshot_observed_at":"2026-08-07T13:06:56.393307Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22813","last_updated":"2025-06-04T16:02:34Z","snapshot_observed_at":"2026-08-08T04:53:17.161864Z","submitted_at":"2025-05-28T19:41:37Z","title":"X-Factor: Quality Is a Dataset-Intrinsic Property","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T13:06:56.393307Z"},"links":{"cited_paper":"/paper/2204.08499","citing_paper":"/paper/2505.22813"},"observation_digest":"sha256:b757261ab32a8a30654b756bce91f4d056469d8e26b645f00f9385dc480b17b6","observation_id":"bf6b7ed1-ca98-47c0-9658-5f31b38e570b","resolution":{"observed_at":"2026-08-07T13:06:56.393307Z","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":"2026-08-07T13:06:56.447102Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22813","last_updated":"2025-06-04T16:02:34Z","snapshot_observed_at":"2026-08-08T04:53:17.161864Z","submitted_at":"2025-05-28T19:41:37Z","title":"X-Factor: Quality Is a Dataset-Intrinsic Property","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T13:06:56.447102Z"},"links":{"citing_paper":"/paper/2505.22813"},"observation_digest":"sha256:066b285ef720d910e08d5e0787235338537df9e73abcf76b4a4278aef2e6ce6c","observation_id":"6b101710-d556-4fd4-b33d-4d91f9697f33","resolution":{"observed_at":"2026-08-07T13:06:56.447102Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.14200","last_updated":"2025-07-30T08:05:05Z","snapshot_observed_at":"2026-08-07T16:00:57.957316Z","submitted_at":"2025-04-19T06:26:23Z","title":"Enhancing Multimodal In-Context Learning for Image Classification through Coreset Optimization","version":2},"cited_work":{"arxiv_id":"2504.14200","doi":null,"metadata_source":"pith","pith_arxiv_id":"2504.14200","snapshot_observed_at":"2026-08-07T13:06:57.469359Z","title":"Enhancing Multimodal In-Context Learning for Image Classification through Coreset Optimization","venue":"cs.CV","work_id":"69175aba-0b2e-434c-94bf-03e3260126b8","year":2025},"citing_paper":{"arxiv_id":"2505.22813","last_updated":"2025-06-04T16:02:34Z","snapshot_observed_at":"2026-08-08T04:53:17.161864Z","submitted_at":"2025-05-28T19:41:37Z","title":"X-Factor: Quality Is a Dataset-Intrinsic Property","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T13:06:56.486713Z"},"links":{"cited_paper":"/paper/2504.14200","citing_paper":"/paper/2505.22813"},"observation_digest":"sha256:551ba327590df07cbfea78ece02be31cdeeee27818662ad0feed43e80fd594a2","observation_id":"59b1f3b7-855e-4d09-bc29-06614ddad991","resolution":{"observed_at":"2026-08-07T13:06:57.558567Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04273","last_updated":"2025-02-24T14:56:11Z","snapshot_observed_at":"2026-07-06T18:26:37.581248Z","submitted_at":"2024-06-06T17:23:05Z","title":"ELFS: Label-Free Coreset Selection with Proxy Training Dynamics","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.04273","snapshot_observed_at":"2026-08-07T13:06:56.528200Z","title":"Zheng, E","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22813","last_updated":"2025-06-04T16:02:34Z","snapshot_observed_at":"2026-08-08T04:53:17.161864Z","submitted_at":"2025-05-28T19:41:37Z","title":"X-Factor: Quality Is a Dataset-Intrinsic Property","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T13:06:56.528200Z"},"links":{"cited_paper":"/paper/2406.04273","citing_paper":"/paper/2505.22813"},"observation_digest":"sha256:95c358bc1b8c5501841cf2cf9118a2deee27a1d965ad4f73b93557896de84951","observation_id":"e6f2bb2f-5cc1-4215-a8f6-1a59bf6b2b59","resolution":{"observed_at":"2026-08-07T13:06:56.528200Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1512.03385","last_updated":"2015-12-10T19:51:55Z","snapshot_observed_at":"2026-07-06T04:39:28.429064Z","submitted_at":"2015-12-10T19:51:55Z","title":"Deep Residual Learning for Image Recognition","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1512.03385","snapshot_observed_at":"2026-08-07T13:06:56.563352Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22813","last_updated":"2025-06-04T16:02:34Z","snapshot_observed_at":"2026-08-08T04:53:17.161864Z","submitted_at":"2025-05-28T19:41:37Z","title":"X-Factor: Quality Is a Dataset-Intrinsic Property","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T13:06:56.563352Z"},"links":{"cited_paper":"/paper/1512.03385","citing_paper":"/paper/2505.22813"},"observation_digest":"sha256:61540ef2c78d52ef1a8ba6b421173feb44ba1f66b3341fa4874fd5680dc07758","observation_id":"69a8b8ba-b9d5-4f74-adbc-106658a1d8e6","resolution":{"observed_at":"2026-08-07T13:06:56.563352Z","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":"2026-08-07T13:07:00.797873Z","title":"Pedregosa, G","venue":null,"work_id":"74fb1c35-fd91-43a9-a45c-4cd6b3766b12","year":2011},"citing_paper":{"arxiv_id":"2505.22813","last_updated":"2025-06-04T16:02:34Z","snapshot_observed_at":"2026-08-08T04:53:17.161864Z","submitted_at":"2025-05-28T19:41:37Z","title":"X-Factor: Quality Is a Dataset-Intrinsic Property","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T13:06:56.613584Z"},"links":{"citing_paper":"/paper/2505.22813"},"observation_digest":"sha256:690a4d73368e5b3e21749ef4b6412d71c5fe026091f709249bf9e01bc82a0c0b","observation_id":"fc1c4914-69f9-416c-98eb-5d903670fc2e","resolution":{"observed_at":"2026-08-07T13:07:00.863706Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1912.01703","last_updated":"2019-12-03T22:06:05Z","snapshot_observed_at":"2026-07-06T08:41:49.632205Z","submitted_at":"2019-12-03T22:06:05Z","title":"PyTorch: An Imperative Style, High-Performance Deep Learning Library","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1912.01703","snapshot_observed_at":"2026-08-07T13:06:56.659741Z","title":"Paszke, S","venue":null,"work_id":null,"year":1912},"citing_paper":{"arxiv_id":"2505.22813","last_updated":"2025-06-04T16:02:34Z","snapshot_observed_at":"2026-08-08T04:53:17.161864Z","submitted_at":"2025-05-28T19:41:37Z","title":"X-Factor: Quality Is a Dataset-Intrinsic Property","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T13:06:56.659741Z"},"links":{"cited_paper":"/paper/1912.01703","citing_paper":"/paper/2505.22813"},"observation_digest":"sha256:f604d4a86d09e2f3742d4f7bd3e993875ae407939470029f96dcb8a51f1f49d5","observation_id":"b23c7a5e-4414-42e4-ae42-a186d1a8f374","resolution":{"observed_at":"2026-08-07T13:06:56.659741Z","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":"2026-08-07T13:07:00.572158Z","title":"LeCun, C","venue":null,"work_id":"8e782f48-32d7-449c-8a36-ec675e0d396e","year":1998},"citing_paper":{"arxiv_id":"2505.22813","last_updated":"2025-06-04T16:02:34Z","snapshot_observed_at":"2026-08-08T04:53:17.161864Z","submitted_at":"2025-05-28T19:41:37Z","title":"X-Factor: Quality Is a Dataset-Intrinsic Property","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T13:06:56.704959Z"},"links":{"citing_paper":"/paper/2505.22813"},"observation_digest":"sha256:e92b8e14cbf23d356b98d3ba861620307977549edb5526669d1beaf94aeda711","observation_id":"e57b67aa-84f8-4dc0-89fb-800df1cade52","resolution":{"observed_at":"2026-08-07T13:07:00.678820Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-07T13:06:56.763341Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22813","last_updated":"2025-06-04T16:02:34Z","snapshot_observed_at":"2026-08-08T04:53:17.161864Z","submitted_at":"2025-05-28T19:41:37Z","title":"X-Factor: Quality Is a Dataset-Intrinsic Property","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T13:06:56.763341Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2505.22813"},"observation_digest":"sha256:06f51b4f7bd8424d355cb5e0517e774073b3016bb3765848270ed213873b6d82","observation_id":"efa1f5f3-ef90-408d-a0c0-7dbca468e0fb","resolution":{"observed_at":"2026-08-07T13:06:56.763341Z","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":"2401.00102","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:06:57.221593Z","title":"Nguyen, R","venue":null,"work_id":"8308e3a7-2700-4fa9-9a7c-92879eec7de0","year":null},"citing_paper":{"arxiv_id":"2505.22813","last_updated":"2025-06-04T16:02:34Z","snapshot_observed_at":"2026-08-08T04:53:17.161864Z","submitted_at":"2025-05-28T19:41:37Z","title":"X-Factor: Quality Is a Dataset-Intrinsic Property","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T13:06:56.823640Z"},"links":{"citing_paper":"/paper/2505.22813"},"observation_digest":"sha256:c4047f1f5b529baad6f094f064bc61e6560b4b4a909b9725a2dcaf50c0902d77","observation_id":"d75ba224-3bac-4ee7-9025-36cb79a97e0c","resolution":{"observed_at":"2026-08-07T13:06:57.325375Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.02410","last_updated":"2023-07-02T22:58:51Z","snapshot_observed_at":"2026-08-07T23:25:34.011944Z","submitted_at":"2022-10-05T17:32:16Z","title":"The Vendi Score: A Diversity Evaluation Metric for Machine Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.02410","snapshot_observed_at":"2026-08-07T13:06:56.864341Z","title":"Friedman and A","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.22813","last_updated":"2025-06-04T16:02:34Z","snapshot_observed_at":"2026-08-08T04:53:17.161864Z","submitted_at":"2025-05-28T19:41:37Z","title":"X-Factor: Quality Is a Dataset-Intrinsic Property","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-07T13:06:56.864341Z"},"links":{"cited_paper":"/paper/2210.02410","citing_paper":"/paper/2505.22813"},"observation_digest":"sha256:e0e105cfc2d06b57fa284bcb86d0457aad8fc936adc5d83a7254f51e1fc8e5d5","observation_id":"151208a3-5029-46c5-82cc-4f06caf0e98c","resolution":{"observed_at":"2026-08-07T13:06:56.864341Z","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":"2026-08-07T13:07:00.441681Z","title":"look least like","venue":null,"work_id":"adae13e1-9be0-46a5-9b68-24e8da29d4e6","year":2010},"citing_paper":{"arxiv_id":"2505.22813","last_updated":"2025-06-04T16:02:34Z","snapshot_observed_at":"2026-08-08T04:53:17.161864Z","submitted_at":"2025-05-28T19:41:37Z","title":"X-Factor: Quality Is a Dataset-Intrinsic Property","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-07T13:06:56.923263Z"},"links":{"citing_paper":"/paper/2505.22813"},"observation_digest":"sha256:8ec989bfd5d153e580d0107c3bae1252b7b3bbb51fa47b36f7fcc5ca7b64f277","observation_id":"09c37f87-6092-40ba-a21a-ca8f7048c27c","resolution":{"observed_at":"2026-08-07T13:07:00.470498Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.22813","last_updated":"2025-06-04T16:02:34Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-08T04:53:17.161864Z","submitted_at":"2025-05-28T19:41:37Z","title":"X-Factor: Quality Is a Dataset-Intrinsic Property"},"reference_resolution":{"displayed":52,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":28,"verified_exact":15,"verified_fuzzy":9},"total_outbound_references":52},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 1 inbound Pith citation observation for arXiv:2505.22813."}