{"as_of":"2026-08-10T11:51:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:09200055fbf65310a3048765c338b04d14d27dbc7828c44a78e09935b7571293","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":20,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":20,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":20,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":20,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T16:55:17.605900Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-02T16:07:08.680944Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1909.12673","last_updated":"2019-12-20T18:20:34Z","snapshot_observed_at":"2026-08-05T03:04:56.613105Z","submitted_at":"2019-09-27T13:27:53Z","title":"A Constructive Prediction of the Generalization Error Across Scales","version":2},"cited_work":{"arxiv_id":"1909.12673","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1909.12673","snapshot_observed_at":"2026-07-02T16:07:08.680944Z","title":"arXiv preprint arXiv:1909.12673 , year=","venue":null,"work_id":"2e5959fb-8538-47c0-9bd0-989b1bc5ac44","year":2019},"citing_paper":{"arxiv_id":"2001.08361","last_updated":"2020-01-23T03:59:20Z","snapshot_observed_at":"2026-07-06T08:52:12.656082Z","submitted_at":"2020-01-23T03:59:20Z","title":"Scaling Laws for Neural Language Models","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-24T15:31:29.677449Z"},"links":{"cited_paper":"/paper/1909.12673","citing_paper":"/paper/2001.08361"},"observation_digest":"sha256:270a929b9335a8f6d19c0ae01273466fa2a6323120776bbb0221b32dd8647ca1","observation_id":"6f896e01-bf0d-4f1b-9952-0903a7a43a27","resolution":{"observed_at":"2026-05-09T04:51:47.625545Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1909.12673","last_updated":"2019-12-20T18:20:34Z","snapshot_observed_at":"2026-08-05T03:04:56.613105Z","submitted_at":"2019-09-27T13:27:53Z","title":"A Constructive Prediction of the Generalization Error Across Scales","version":2},"cited_work":{"arxiv_id":"1909.12673","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1909.12673","snapshot_observed_at":"2026-07-02T16:07:08.680944Z","title":"arXiv preprint arXiv:1909.12673 , year=","venue":null,"work_id":"2e5959fb-8538-47c0-9bd0-989b1bc5ac44","year":2019},"citing_paper":{"arxiv_id":"2010.14701","last_updated":"2020-11-06T04:16:36Z","snapshot_observed_at":"2026-07-06T10:09:17.078776Z","submitted_at":"2020-10-28T02:17:24Z","title":"Scaling Laws for Autoregressive Generative Modeling","version":2},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-05-13T07:49:43.711653Z"},"links":{"cited_paper":"/paper/1909.12673","citing_paper":"/paper/2010.14701"},"observation_digest":"sha256:bbc2941171d31660f193213585ac1e4eb7b3af3049e591cdf2e17eec70caf518","observation_id":"2bce7b71-f3e6-424a-ace2-f280733ace44","resolution":{"observed_at":"2026-05-13T07:49:43.881558Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1909.12673","last_updated":"2019-12-20T18:20:34Z","snapshot_observed_at":"2026-08-05T03:04:56.613105Z","submitted_at":"2019-09-27T13:27:53Z","title":"A Constructive Prediction of the Generalization Error Across Scales","version":2},"cited_work":{"arxiv_id":"1909.12673","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1909.12673","snapshot_observed_at":"2026-07-02T16:07:08.680944Z","title":"arXiv preprint arXiv:1909.12673 , year=","venue":null,"work_id":"2e5959fb-8538-47c0-9bd0-989b1bc5ac44","year":2019},"citing_paper":{"arxiv_id":"2102.01293","last_updated":"2021-02-02T04:07:38Z","snapshot_observed_at":"2026-08-01T22:46:19.170916Z","submitted_at":"2021-02-02T04:07:38Z","title":"Scaling Laws for Transfer","version":1},"reference_index":187,"source":"arxiv_source","source_observed_at":"2026-05-18T00:58:13.116663Z"},"links":{"cited_paper":"/paper/1909.12673","citing_paper":"/paper/2102.01293"},"observation_digest":"sha256:51d2e913a15f3944b723847ea787ce827ee5163e56f72e8d2e06c65c451f7dd6","observation_id":"303aa6be-493c-441a-915e-0443f46c8fd9","resolution":{"observed_at":"2026-05-18T00:58:13.645290Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1909.12673","last_updated":"2019-12-20T18:20:34Z","snapshot_observed_at":"2026-08-05T03:04:56.613105Z","submitted_at":"2019-09-27T13:27:53Z","title":"A Constructive Prediction of the Generalization Error Across Scales","version":2},"cited_work":{"arxiv_id":"1909.12673","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1909.12673","snapshot_observed_at":"2026-07-02T16:07:08.680944Z","title":"arXiv preprint arXiv:1909.12673 , year=","venue":null,"work_id":"2e5959fb-8538-47c0-9bd0-989b1bc5ac44","year":2019},"citing_paper":{"arxiv_id":"2112.00861","last_updated":"2021-12-09T21:40:22Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2021-12-01T22:24:34Z","title":"A General Language Assistant as a Laboratory for Alignment","version":3},"reference_index":243,"source":"arxiv_source","source_observed_at":"2026-05-11T14:22:57.925354Z"},"links":{"cited_paper":"/paper/1909.12673","citing_paper":"/paper/2112.00861"},"observation_digest":"sha256:4beaf9fc452885d7995364ccbb67ac94bce1a705cee4d9ca43aa5f97bae29f4f","observation_id":"a8cd5699-f5e5-42ae-9873-30d917b352f6","resolution":{"observed_at":"2026-05-11T14:22:59.282560Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1909.12673","last_updated":"2019-12-20T18:20:34Z","snapshot_observed_at":"2026-08-05T03:04:56.613105Z","submitted_at":"2019-09-27T13:27:53Z","title":"A Constructive Prediction of the Generalization Error Across Scales","version":2},"cited_work":{"arxiv_id":"1909.12673","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1909.12673","snapshot_observed_at":"2026-07-02T16:07:08.680944Z","title":"arXiv preprint arXiv:1909.12673 , year=","venue":null,"work_id":"2e5959fb-8538-47c0-9bd0-989b1bc5ac44","year":2019},"citing_paper":{"arxiv_id":"2207.05221","last_updated":"2022-11-21T16:38:35Z","snapshot_observed_at":"2026-08-06T08:34:11.887259Z","submitted_at":"2022-07-11T22:59:39Z","title":"Language Models (Mostly) Know What They Know","version":4},"reference_index":137,"source":"arxiv_source","source_observed_at":"2026-05-10T15:42:47.274448Z"},"links":{"cited_paper":"/paper/1909.12673","citing_paper":"/paper/2207.05221"},"observation_digest":"sha256:9808fa966239d441ad959d2daaca4532a43493540da5b38904deddbbea30e13d","observation_id":"e3a3bd63-2203-4f83-9c4d-cc7d9e43d0a6","resolution":{"observed_at":"2026-05-10T15:42:47.777084Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1909.12673","last_updated":"2019-12-20T18:20:34Z","snapshot_observed_at":"2026-08-05T03:04:56.613105Z","submitted_at":"2019-09-27T13:27:53Z","title":"A Constructive Prediction of the Generalization Error Across Scales","version":2},"cited_work":{"arxiv_id":"1909.12673","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1909.12673","snapshot_observed_at":"2026-07-02T16:07:08.680944Z","title":"arXiv preprint arXiv:1909.12673 , year=","venue":null,"work_id":"2e5959fb-8538-47c0-9bd0-989b1bc5ac44","year":2019},"citing_paper":{"arxiv_id":"2405.07987","last_updated":"2024-07-25T09:33:50Z","snapshot_observed_at":"2026-08-06T11:02:06.607024Z","submitted_at":"2024-05-13T17:58:30Z","title":"The Platonic Representation Hypothesis","version":5},"reference_index":145,"source":"arxiv_source","source_observed_at":"2026-05-15T06:03:56.328012Z"},"links":{"cited_paper":"/paper/1909.12673","citing_paper":"/paper/2405.07987"},"observation_digest":"sha256:eee6ce0a6b0143a513bc955f0acf133ec73ca2f38331b89fdf4acce76e4dc89b","observation_id":"61025edb-21a1-4268-8295-884b55bca7f4","resolution":{"observed_at":"2026-05-15T06:03:56.933606Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1909.12673","last_updated":"2019-12-20T18:20:34Z","snapshot_observed_at":"2026-08-05T03:04:56.613105Z","submitted_at":"2019-09-27T13:27:53Z","title":"A Constructive Prediction of the Generalization Error Across Scales","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1909.12673","snapshot_observed_at":"2026-08-08T16:55:17.605900Z","title":"A constructive prediction of the generalization error across scales","venue":null,"work_id":null,"year":1909},"citing_paper":{"arxiv_id":"2502.06905","last_updated":"2025-06-12T01:40:08Z","snapshot_observed_at":"2026-08-09T01:28:07.249569Z","submitted_at":"2025-02-10T01:18:40Z","title":"Lightweight Dataset Pruning without Full Training via Example Difficulty and Prediction Uncertainty","version":3},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-08T16:55:17.605900Z"},"links":{"cited_paper":"/paper/1909.12673","citing_paper":"/paper/2502.06905"},"observation_digest":"sha256:0bad69961aa9c8c3d93f4504010fa426d7337192ff1ae584213d9b34855bb550","observation_id":"7e057948-83c4-4227-a09d-a08b528836e5","resolution":{"observed_at":"2026-08-08T16:55:17.605900Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1909.12673","last_updated":"2019-12-20T18:20:34Z","snapshot_observed_at":"2026-08-05T03:04:56.613105Z","submitted_at":"2019-09-27T13:27:53Z","title":"A Constructive Prediction of the Generalization Error Across Scales","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1909.12673","snapshot_observed_at":"2026-08-08T12:12:30.776434Z","title":null,"venue":null,"work_id":null,"year":1909},"citing_paper":{"arxiv_id":"2502.07617","last_updated":"2026-05-31T18:45:03Z","snapshot_observed_at":"2026-08-08T12:06:14.483667Z","submitted_at":"2025-02-11T15:05:33Z","title":"Scaling Pre-training to One Hundred Billion Data for Vision Language Models","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-08T12:12:30.776434Z"},"links":{"cited_paper":"/paper/1909.12673","citing_paper":"/paper/2502.07617"},"observation_digest":"sha256:0da6c6d28bc55abbb51ba46c1cf922f088ca261227af2c8f59e286bc65c2e629","observation_id":"0e276678-7b16-4007-b76c-ed27348e700b","resolution":{"observed_at":"2026-08-08T12:12:30.776434Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1909.12673","last_updated":"2019-12-20T18:20:34Z","snapshot_observed_at":"2026-08-05T03:04:56.613105Z","submitted_at":"2019-09-27T13:27:53Z","title":"A Constructive Prediction of the Generalization Error Across Scales","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1909.12673","snapshot_observed_at":"2026-08-07T13:01:10.422809Z","title":"S., Rosenfeld, A., Belinkov, Y ., and Shavit, N","venue":null,"work_id":null,"year":1909},"citing_paper":{"arxiv_id":"2505.23032","last_updated":"2025-06-16T01:34:25Z","snapshot_observed_at":"2026-08-09T20:55:48.556465Z","submitted_at":"2025-05-29T03:19:17Z","title":"Bayesian Neural Scaling Law Extrapolation with Prior-Data Fitted Networks","version":3},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T13:01:10.422809Z"},"links":{"cited_paper":"/paper/1909.12673","citing_paper":"/paper/2505.23032"},"observation_digest":"sha256:aee06c97768cfff1ac73993171c181be3f1f005281c85c1fb1ab741a938cbc1a","observation_id":"f304bba6-12a5-4e57-9755-0e607ee82ca7","resolution":{"observed_at":"2026-08-07T13:01:10.422809Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1909.12673","last_updated":"2019-12-20T18:20:34Z","snapshot_observed_at":"2026-08-05T03:04:56.613105Z","submitted_at":"2019-09-27T13:27:53Z","title":"A Constructive Prediction of the Generalization Error Across Scales","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1909.12673","snapshot_observed_at":"2026-08-06T22:21:08.886500Z","title":"Aconstructivepredic- tion of the generalization error across scales.arXiv preprint arXiv:1909.12673, 2019","venue":null,"work_id":null,"year":1909},"citing_paper":{"arxiv_id":"2506.22122","last_updated":"2025-06-27T11:00:36Z","snapshot_observed_at":"2026-08-10T05:49:51.447652Z","submitted_at":"2025-06-27T11:00:36Z","title":"In situ fine-tuning of in silico trained Optical Neural Networks","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-06T22:21:08.886500Z"},"links":{"cited_paper":"/paper/1909.12673","citing_paper":"/paper/2506.22122"},"observation_digest":"sha256:5bd90230e60fc021319924ca3521b59f3c7452ef55e8897100a711f5760fa9f1","observation_id":"accc8f82-0199-4dae-9a8f-f0e9f376c79e","resolution":{"observed_at":"2026-08-06T22:21:08.886500Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1909.12673","last_updated":"2019-12-20T18:20:34Z","snapshot_observed_at":"2026-08-05T03:04:56.613105Z","submitted_at":"2019-09-27T13:27:53Z","title":"A Constructive Prediction of the Generalization Error Across Scales","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1909.12673","snapshot_observed_at":"2026-08-07T05:07:39.713752Z","title":"A constructive prediction of the generalization error across scales,","venue":null,"work_id":null,"year":1909},"citing_paper":{"arxiv_id":"2507.00004","last_updated":"2025-07-10T17:08:40Z","snapshot_observed_at":"2026-08-08T16:04:02.052629Z","submitted_at":"2025-06-10T14:47:48Z","title":"A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-07T05:07:39.713752Z"},"links":{"cited_paper":"/paper/1909.12673","citing_paper":"/paper/2507.00004"},"observation_digest":"sha256:4a76636c21919d303bcb4018eb924a2468e1e0d39a3735cb0f08acb57c1cbb31","observation_id":"77e77b35-f651-4a00-96d2-619bda196821","resolution":{"observed_at":"2026-08-07T05:07:39.713752Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1909.12673","last_updated":"2019-12-20T18:20:34Z","snapshot_observed_at":"2026-08-05T03:04:56.613105Z","submitted_at":"2019-09-27T13:27:53Z","title":"A Constructive Prediction of the Generalization Error Across Scales","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1909.12673","snapshot_observed_at":"2026-08-06T19:40:36.549240Z","title":"S., Rosenfeld, A., Belinkov, Y., and Shavit, N","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.05035","last_updated":"2025-07-07T14:17:44Z","snapshot_observed_at":"2026-08-09T04:49:35.176543Z","submitted_at":"2025-07-07T14:17:44Z","title":"Beyond Scaling Curves: Internal Dynamics of Neural Networks Through the NTK Lens","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-06T19:40:36.549240Z"},"links":{"cited_paper":"/paper/1909.12673","citing_paper":"/paper/2507.05035"},"observation_digest":"sha256:8c0b6430d1309a5eb57e6a846ec1d8549919ba43fa1fa78c7380cf4ecf345f58","observation_id":"2e4e98f3-5499-406b-8abc-ac56726be7af","resolution":{"observed_at":"2026-08-06T19:40:36.549240Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1909.12673","last_updated":"2019-12-20T18:20:34Z","snapshot_observed_at":"2026-08-05T03:04:56.613105Z","submitted_at":"2019-09-27T13:27:53Z","title":"A Constructive Prediction of the Generalization Error Across Scales","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1909.12673","snapshot_observed_at":"2026-08-03T14:02:56.718947Z","title":"A constructive prediction of the generalization error across scales.arXiv preprint arXiv:1909.12673,","venue":null,"work_id":null,"year":1909},"citing_paper":{"arxiv_id":"2512.22088","last_updated":"2026-06-10T15:31:41Z","snapshot_observed_at":"2026-08-09T06:43:58.919201Z","submitted_at":"2025-12-26T17:20:09Z","title":"Unifying Learning Dynamics and Generalization in Transformers Scaling Law","version":3},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-03T14:02:56.718947Z"},"links":{"cited_paper":"/paper/1909.12673","citing_paper":"/paper/2512.22088"},"observation_digest":"sha256:3e78c8304a1d066842d111766c82a10ae91a28b9260cb6dbf178dd043412befc","observation_id":"5d879399-1fd0-41c6-bf72-a735071cbe2b","resolution":{"observed_at":"2026-08-03T14:02:56.718947Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1909.12673","last_updated":"2019-12-20T18:20:34Z","snapshot_observed_at":"2026-08-05T03:04:56.613105Z","submitted_at":"2019-09-27T13:27:53Z","title":"A Constructive Prediction of the Generalization Error Across Scales","version":2},"cited_work":{"arxiv_id":"1909.12673","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1909.12673","snapshot_observed_at":"2026-07-02T16:07:08.680944Z","title":"arXiv preprint arXiv:1909.12673 , year=","venue":null,"work_id":"2e5959fb-8538-47c0-9bd0-989b1bc5ac44","year":2019},"citing_paper":{"arxiv_id":"2605.08297","last_updated":"2026-05-08T11:07:44Z","snapshot_observed_at":"2026-07-06T23:20:33.816373Z","submitted_at":"2026-05-08T11:07:44Z","title":"A Qualitative Test-Risk Mechanism for Scaling Behavior in Normalized Residual Networks","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-12T01:38:22.676352Z"},"links":{"cited_paper":"/paper/1909.12673","citing_paper":"/paper/2605.08297"},"observation_digest":"sha256:ac7cca58b865406507258b1cd1366b297d7646e00f68290c120ff9da2cc51055","observation_id":"01eda724-3175-4b50-8978-18e59ff38a61","resolution":{"observed_at":"2026-05-12T01:46:14.696191Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1909.12673","last_updated":"2019-12-20T18:20:34Z","snapshot_observed_at":"2026-08-05T03:04:56.613105Z","submitted_at":"2019-09-27T13:27:53Z","title":"A Constructive Prediction of the Generalization Error Across Scales","version":2},"cited_work":{"arxiv_id":"1909.12673","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1909.12673","snapshot_observed_at":"2026-07-02T16:07:08.680944Z","title":"arXiv preprint arXiv:1909.12673 , year=","venue":null,"work_id":"2e5959fb-8538-47c0-9bd0-989b1bc5ac44","year":2019},"citing_paper":{"arxiv_id":"2605.15551","last_updated":"2026-05-15T02:44:25Z","snapshot_observed_at":"2026-08-03T14:14:32.753126Z","submitted_at":"2026-05-15T02:44:25Z","title":"Characterizing Learning in Deep Neural Networks using Tractable Algorithmic Complexity Analysis","version":1},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-05-20T20:24:16.373261Z"},"links":{"cited_paper":"/paper/1909.12673","citing_paper":"/paper/2605.15551"},"observation_digest":"sha256:e4b3d2966e6c7ca05c2bc104bb42add3c5c28904396915b6e06a062b6765f22a","observation_id":"7da05f3e-7902-48a6-8892-2c33006a8d23","resolution":{"observed_at":"2026-05-20T20:28:59.988428Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1909.12673","last_updated":"2019-12-20T18:20:34Z","snapshot_observed_at":"2026-08-05T03:04:56.613105Z","submitted_at":"2019-09-27T13:27:53Z","title":"A Constructive Prediction of the Generalization Error Across Scales","version":2},"cited_work":{"arxiv_id":"1909.12673","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1909.12673","snapshot_observed_at":"2026-07-02T16:07:08.680944Z","title":"arXiv preprint arXiv:1909.12673 , year=","venue":null,"work_id":"2e5959fb-8538-47c0-9bd0-989b1bc5ac44","year":2019},"citing_paper":{"arxiv_id":"2605.23198","last_updated":"2026-05-22T03:29:12Z","snapshot_observed_at":"2026-07-06T23:33:24.215365Z","submitted_at":"2026-05-22T03:29:12Z","title":"Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-05-25T05:24:53.628214Z"},"links":{"cited_paper":"/paper/1909.12673","citing_paper":"/paper/2605.23198"},"observation_digest":"sha256:f988e0e4d0586a65f9daaa9c2d04fc16fde67f16c0ab87661edbcc0cfb117d5c","observation_id":"1eed6c6e-6346-4ee3-a50f-e5f29c556bf9","resolution":{"observed_at":"2026-05-25T05:25:23.285502Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1909.12673","last_updated":"2019-12-20T18:20:34Z","snapshot_observed_at":"2026-08-05T03:04:56.613105Z","submitted_at":"2019-09-27T13:27:53Z","title":"A Constructive Prediction of the Generalization Error Across Scales","version":2},"cited_work":{"arxiv_id":"1909.12673","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1909.12673","snapshot_observed_at":"2026-07-02T16:07:08.680944Z","title":"arXiv preprint arXiv:1909.12673 , year=","venue":null,"work_id":"2e5959fb-8538-47c0-9bd0-989b1bc5ac44","year":2019},"citing_paper":{"arxiv_id":"2605.26248","last_updated":"2026-05-25T18:15:27Z","snapshot_observed_at":"2026-08-05T12:04:21.559242Z","submitted_at":"2026-05-25T18:15:27Z","title":"Unified Neural Scaling Laws","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-06-29T22:56:43.393302Z"},"links":{"cited_paper":"/paper/1909.12673","citing_paper":"/paper/2605.26248"},"observation_digest":"sha256:0902e0ef6e8070635513b925c03fd3e4e0b7a46515232655881ef29df75f4ad8","observation_id":"2a6d89ca-88a1-4caa-aa8a-1d9ff501c6db","resolution":{"observed_at":"2026-06-30T00:14:04.517837Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1909.12673","last_updated":"2019-12-20T18:20:34Z","snapshot_observed_at":"2026-08-05T03:04:56.613105Z","submitted_at":"2019-09-27T13:27:53Z","title":"A Constructive Prediction of the Generalization Error Across Scales","version":2},"cited_work":{"arxiv_id":"1909.12673","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1909.12673","snapshot_observed_at":"2026-07-02T16:07:08.680944Z","title":"arXiv preprint arXiv:1909.12673 , year=","venue":null,"work_id":"2e5959fb-8538-47c0-9bd0-989b1bc5ac44","year":2019},"citing_paper":{"arxiv_id":"2605.27989","last_updated":"2026-05-27T05:23:45Z","snapshot_observed_at":"2026-08-03T00:57:30.869718Z","submitted_at":"2026-05-27T05:23:45Z","title":"Law of Neural Interaction: Depth-Width Shape, Interaction Efficiency, and Generalization","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-29T14:14:25.876963Z"},"links":{"cited_paper":"/paper/1909.12673","citing_paper":"/paper/2605.27989"},"observation_digest":"sha256:a8f7eb3c8d151b198144004543e5cb25490d275a3bf21d84ad92fbea6ba083c5","observation_id":"fb3a084f-2371-4026-a84e-0fc8a14a9133","resolution":{"observed_at":"2026-06-29T14:23:31.012897Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1909.12673","last_updated":"2019-12-20T18:20:34Z","snapshot_observed_at":"2026-08-05T03:04:56.613105Z","submitted_at":"2019-09-27T13:27:53Z","title":"A Constructive Prediction of the Generalization Error Across Scales","version":2},"cited_work":{"arxiv_id":"1909.12673","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1909.12673","snapshot_observed_at":"2026-07-02T16:07:08.680944Z","title":"arXiv preprint arXiv:1909.12673 , year=","venue":null,"work_id":"2e5959fb-8538-47c0-9bd0-989b1bc5ac44","year":2019},"citing_paper":{"arxiv_id":"2606.06725","last_updated":"2026-06-04T21:21:33Z","snapshot_observed_at":"2026-08-05T02:32:11.158017Z","submitted_at":"2026-06-04T21:21:33Z","title":"Compute-Optimal Network Design for Echocardiography Myocardial Segmentation and Perfusion Quantification using Neural Scaling Laws","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-06-27T23:02:38.001509Z"},"links":{"cited_paper":"/paper/1909.12673","citing_paper":"/paper/2606.06725"},"observation_digest":"sha256:e068451b8141d56fa82e20d3b124c2f4ddaee0b5037eb725b5de78ebf3cc40a3","observation_id":"84a8390d-ce96-4d76-84eb-7a3f9e851be3","resolution":{"observed_at":"2026-07-02T16:07:08.682685Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1909.12673","last_updated":"2019-12-20T18:20:34Z","snapshot_observed_at":"2026-08-05T03:04:56.613105Z","submitted_at":"2019-09-27T13:27:53Z","title":"A Constructive Prediction of the Generalization Error Across Scales","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1909.12673","snapshot_observed_at":"2026-07-13T03:17:51.964379Z","title":"arXiv preprint arXiv:1909.12673 , year=","venue":null,"work_id":null,"year":1909},"citing_paper":{"arxiv_id":"2607.09402","last_updated":"2026-07-10T13:30:28Z","snapshot_observed_at":"2026-08-09T18:26:33.795934Z","submitted_at":"2026-07-10T13:30:28Z","title":"Data-Efficient Deep Learning: Empirical Guidelines for Training Set Size Estimation in Inertial Sensor Classification","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-07-13T03:17:51.964379Z"},"links":{"cited_paper":"/paper/1909.12673","citing_paper":"/paper/2607.09402"},"observation_digest":"sha256:a830b7f30a358dadfe9ebd9f91d27b9636a331b17bbf6107f01feb834f778471","observation_id":"6aba0478-ae36-4041-b93b-75f24d884bc5","resolution":{"observed_at":"2026-07-13T03:17:51.964379Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/1909.12673/citation-record","integrity":"/paper/1909.12673/integrity","json":"/paper/1909.12673/citation-record.json","paper":"/paper/1909.12673"},"outbound":[],"paper":{"arxiv_id":"1909.12673","last_updated":"2019-12-20T18:20:34Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-05T03:04:56.613105Z","submitted_at":"2019-09-27T13:27:53Z","title":"A Constructive Prediction of the Generalization Error Across Scales"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:1909.12673."}