{"as_of":"2026-08-09T09:06:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:283f61400fee6a2a0be44e219007e77d3c358582be78d0977c77c5571fd94229","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":13,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":13,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":13,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":13,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:26:07.038954Z","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":"2026-07-04T20:30:07.614249Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2305.17212","last_updated":"2024-06-03T15:57:47Z","snapshot_observed_at":"2026-07-06T15:34:09.163519Z","submitted_at":"2023-05-26T19:14:01Z","title":"Rotational Equilibrium: How Weight Decay Balances Learning Across Neural Networks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.17212","snapshot_observed_at":"2026-08-07T13:26:07.038954Z","title":"Rotational equilibrium: How weight decay balances learning across neural networks","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.21910","last_updated":"2025-05-28T02:55:28Z","snapshot_observed_at":"2026-08-07T13:17:18.355133Z","submitted_at":"2025-05-28T02:55:28Z","title":"Taming Transformer Without Using Learning Rate Warmup","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-07T13:26:07.038954Z"},"links":{"cited_paper":"/paper/2305.17212","citing_paper":"/paper/2505.21910"},"observation_digest":"sha256:425e66b36bc0b6588e0c5077e38fd3e5510562ec2436d799625ea636b68a5b57","observation_id":"cd387253-ef1e-484f-82d0-1ba700eba51c","resolution":{"observed_at":"2026-08-07T13:26:07.038954Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.17212","last_updated":"2024-06-03T15:57:47Z","snapshot_observed_at":"2026-07-06T15:34:09.163519Z","submitted_at":"2023-05-26T19:14:01Z","title":"Rotational Equilibrium: How Weight Decay Balances Learning Across Neural Networks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.17212","snapshot_observed_at":"2026-08-07T11:50:49.600122Z","title":"Rotational equilib- rium: How weight decay balances learning across neural networks.https: //arxiv.org/abs/2305.17212, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.01311","last_updated":"2025-06-02T04:39:24Z","snapshot_observed_at":"2026-08-07T11:42:31.676489Z","submitted_at":"2025-06-02T04:39:24Z","title":"Energy Considerations for Large Pretrained Neural Networks","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T11:50:49.600122Z"},"links":{"cited_paper":"/paper/2305.17212","citing_paper":"/paper/2506.01311"},"observation_digest":"sha256:9e3cb4627bba6c6ccffdfe0a758d0943b90d3cadba8a0e599f108983938e237e","observation_id":"9040d922-e161-48d7-b39e-631dabe5a67e","resolution":{"observed_at":"2026-08-07T11:50:49.600122Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.17212","last_updated":"2024-06-03T15:57:47Z","snapshot_observed_at":"2026-07-06T15:34:09.163519Z","submitted_at":"2023-05-26T19:14:01Z","title":"Rotational Equilibrium: How Weight Decay Balances Learning Across Neural Networks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.17212","snapshot_observed_at":"2026-08-07T10:58:33.279593Z","title":"Rotational equilibrium: How weight decay balances learning across neural networks, 2024 b","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.04192","last_updated":"2026-07-24T19:09:15Z","snapshot_observed_at":"2026-08-07T10:43:49.592801Z","submitted_at":"2025-06-04T17:39:03Z","title":"Lions and Muons: Optimization via Stochastic Frank-Wolfe under Heavy-Tailed Noise","version":3},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-07T10:58:33.279593Z"},"links":{"cited_paper":"/paper/2305.17212","citing_paper":"/paper/2506.04192"},"observation_digest":"sha256:4fb49dffaa57f093c2b49f6011ecc0ac28149bf7bc40b3b0261c3f868b9149eb","observation_id":"15a93d33-2ce1-46e9-b271-30531ceec169","resolution":{"observed_at":"2026-08-07T10:58:33.279593Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.17212","last_updated":"2024-06-03T15:57:47Z","snapshot_observed_at":"2026-07-06T15:34:09.163519Z","submitted_at":"2023-05-26T19:14:01Z","title":"Rotational Equilibrium: How Weight Decay Balances Learning Across Neural Networks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.17212","snapshot_observed_at":"2026-08-06T05:55:59.199656Z","title":"AtliKosson, BettinaMessmer, andMartinJaggi","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.01483","last_updated":"2025-08-02T20:36:52Z","snapshot_observed_at":"2026-08-06T05:51:21.591740Z","submitted_at":"2025-08-02T20:36:52Z","title":"Training Dynamics of the Cooldown Stage in Warmup-Stable-Decay Learning Rate Scheduler","version":1},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-06T05:55:59.199656Z"},"links":{"cited_paper":"/paper/2305.17212","citing_paper":"/paper/2508.01483"},"observation_digest":"sha256:aa3fc69fc2bf718816da3d84d0130cd01a1b2b5e77c462cbe5eca09df819a731","observation_id":"b51ce19c-d957-49fd-ba5d-2ceab981533c","resolution":{"observed_at":"2026-08-06T05:55:59.199656Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.17212","last_updated":"2024-06-03T15:57:47Z","snapshot_observed_at":"2026-07-06T15:34:09.163519Z","submitted_at":"2023-05-26T19:14:01Z","title":"Rotational Equilibrium: How Weight Decay Balances Learning Across Neural Networks","version":4},"cited_work":{"arxiv_id":"2305.17212","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.17212","snapshot_observed_at":"2026-07-04T20:30:07.614249Z","title":"Rotational equilibrium: How weight decay balances learning across neural networks","venue":null,"work_id":"d82eedaa-2305-4283-b22a-afb56d1edeea","year":2024},"citing_paper":{"arxiv_id":"2604.22838","last_updated":"2026-04-21T06:27:18Z","snapshot_observed_at":"2026-07-06T23:09:10.050398Z","submitted_at":"2026-04-21T06:27:18Z","title":"Neural Network Optimization Reimagined: Decoupled Techniques for Scratch and Fine-Tuning","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-10T03:26:09.751493Z"},"links":{"cited_paper":"/paper/2305.17212","citing_paper":"/paper/2604.22838"},"observation_digest":"sha256:b101d8e701298260447e114f5e05236470618e5b20504561b6eb19a632586d54","observation_id":"1ed658f6-22ef-43e5-a77e-e62f4ad32b96","resolution":{"observed_at":"2026-05-10T03:29:22.048347Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.17212","last_updated":"2024-06-03T15:57:47Z","snapshot_observed_at":"2026-07-06T15:34:09.163519Z","submitted_at":"2023-05-26T19:14:01Z","title":"Rotational Equilibrium: How Weight Decay Balances Learning Across Neural Networks","version":4},"cited_work":{"arxiv_id":"2305.17212","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.17212","snapshot_observed_at":"2026-07-04T20:30:07.614249Z","title":"Rotational equilibrium: How weight decay balances learning across neural networks","venue":null,"work_id":"d82eedaa-2305-4283-b22a-afb56d1edeea","year":2024},"citing_paper":{"arxiv_id":"2605.04418","last_updated":"2026-05-06T02:22:06Z","snapshot_observed_at":"2026-08-09T01:35:47.502967Z","submitted_at":"2026-05-06T02:22:06Z","title":"Demystifying Manifold Constraints in LLM Pre-training","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-08T17:44:44.438637Z"},"links":{"cited_paper":"/paper/2305.17212","citing_paper":"/paper/2605.04418"},"observation_digest":"sha256:05b18c80803128e02cb1d34d84c3ad9f5a68e7dc745082e4408b7d65a8082481","observation_id":"f9631de9-1045-4c3f-8e86-bec4201236ff","resolution":{"observed_at":"2026-05-11T17:16:08.501233Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.17212","last_updated":"2024-06-03T15:57:47Z","snapshot_observed_at":"2026-07-06T15:34:09.163519Z","submitted_at":"2023-05-26T19:14:01Z","title":"Rotational Equilibrium: How Weight Decay Balances Learning Across Neural Networks","version":4},"cited_work":{"arxiv_id":"2305.17212","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.17212","snapshot_observed_at":"2026-07-04T20:30:07.614249Z","title":"Rotational equilibrium: How weight decay balances learning across neural networks","venue":null,"work_id":"d82eedaa-2305-4283-b22a-afb56d1edeea","year":2024},"citing_paper":{"arxiv_id":"2605.16622","last_updated":"2026-05-15T20:43:26Z","snapshot_observed_at":"2026-08-01T15:07:39.814716Z","submitted_at":"2026-05-15T20:43:26Z","title":"Does Weight Decay Enhance Training Stability?","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-20T19:49:01.351717Z"},"links":{"cited_paper":"/paper/2305.17212","citing_paper":"/paper/2605.16622"},"observation_digest":"sha256:158f681a01d45f8d67a2a5f5c5daaaff1ef129a3a4be438558022e9f07d113a6","observation_id":"abea9704-f303-4341-b212-3293b7a01d8d","resolution":{"observed_at":"2026-05-20T19:53:43.005627Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.17212","last_updated":"2024-06-03T15:57:47Z","snapshot_observed_at":"2026-07-06T15:34:09.163519Z","submitted_at":"2023-05-26T19:14:01Z","title":"Rotational Equilibrium: How Weight Decay Balances Learning Across Neural Networks","version":4},"cited_work":{"arxiv_id":"2305.17212","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.17212","snapshot_observed_at":"2026-07-04T20:30:07.614249Z","title":"Rotational equilibrium: How weight decay balances learning across neural networks","venue":null,"work_id":"d82eedaa-2305-4283-b22a-afb56d1edeea","year":2024},"citing_paper":{"arxiv_id":"2606.19367","last_updated":"2026-06-11T03:50:14Z","snapshot_observed_at":"2026-07-06T23:54:41.980696Z","submitted_at":"2026-06-11T03:50:14Z","title":"Weibull Weight-Scale Parameter Evolution under AdamW Training Dynamics","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-06-27T07:34:04.456453Z"},"links":{"cited_paper":"/paper/2305.17212","citing_paper":"/paper/2606.19367"},"observation_digest":"sha256:3c874edba75a4133e112b4f6cc5e37e462ec4b69e774bcb28efc171a2b927b66","observation_id":"13380a38-9c6a-4539-a9d4-6545b8dc7571","resolution":{"observed_at":"2026-07-03T13:48:20.850873Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.17212","last_updated":"2024-06-03T15:57:47Z","snapshot_observed_at":"2026-07-06T15:34:09.163519Z","submitted_at":"2023-05-26T19:14:01Z","title":"Rotational Equilibrium: How Weight Decay Balances Learning Across Neural Networks","version":4},"cited_work":{"arxiv_id":"2305.17212","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.17212","snapshot_observed_at":"2026-07-04T20:30:07.614249Z","title":"Rotational equilibrium: How weight decay balances learning across neural networks","venue":null,"work_id":"d82eedaa-2305-4283-b22a-afb56d1edeea","year":2024},"citing_paper":{"arxiv_id":"2606.25971","last_updated":"2026-07-17T13:42:08Z","snapshot_observed_at":"2026-08-02T10:13:56.529128Z","submitted_at":"2026-06-24T15:40:26Z","title":"Improving Neural Network Training by Decoupling the Magnitude and Direction of Weight Vectors","version":1},"reference_index":95,"source":"arxiv_source","source_observed_at":"2026-06-25T20:05:09.179627Z"},"links":{"cited_paper":"/paper/2305.17212","citing_paper":"/paper/2606.25971"},"observation_digest":"sha256:18745f56fac830d7a68b13210bc6911389608940c95e932ac73ba5c1bd49192e","observation_id":"c8305465-944e-4914-a1e4-e93137615169","resolution":{"observed_at":"2026-07-04T20:30:07.617309Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.17212","last_updated":"2024-06-03T15:57:47Z","snapshot_observed_at":"2026-07-06T15:34:09.163519Z","submitted_at":"2023-05-26T19:14:01Z","title":"Rotational Equilibrium: How Weight Decay Balances Learning Across Neural Networks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.17212","snapshot_observed_at":"2026-08-02T10:14:08.209467Z","title":"Rotational equilibrium: How weight decay balances learning across neural networks","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.25971","last_updated":"2026-07-17T13:42:08Z","snapshot_observed_at":"2026-08-02T10:13:56.529128Z","submitted_at":"2026-06-24T15:40:26Z","title":"Improving Neural Network Training by Decoupling the Magnitude and Direction of Weight Vectors","version":2},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-02T10:14:08.209467Z"},"links":{"cited_paper":"/paper/2305.17212","citing_paper":"/paper/2606.25971"},"observation_digest":"sha256:116290178b66718ec07c71caa572e1b3b973154f76f68b94daf2a837c7d365ba","observation_id":"1f92b0d0-0793-4758-b192-6a40023a48e1","resolution":{"observed_at":"2026-08-02T10:14:08.209467Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.17212","last_updated":"2024-06-03T15:57:47Z","snapshot_observed_at":"2026-07-06T15:34:09.163519Z","submitted_at":"2023-05-26T19:14:01Z","title":"Rotational Equilibrium: How Weight Decay Balances Learning Across Neural Networks","version":4},"cited_work":{"arxiv_id":"2305.17212","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.17212","snapshot_observed_at":"2026-07-04T20:30:07.614249Z","title":"Rotational equilibrium: How weight decay balances learning across neural networks","venue":null,"work_id":"d82eedaa-2305-4283-b22a-afb56d1edeea","year":2024},"citing_paper":{"arxiv_id":"2606.29176","last_updated":"2026-06-28T03:44:59Z","snapshot_observed_at":"2026-08-06T07:39:35.931864Z","submitted_at":"2026-06-28T03:44:59Z","title":"Dead-Direction Conditioners: Gauge-Equivariant Preconditioning for Deep Networks","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-06-30T07:58:57.890346Z"},"links":{"cited_paper":"/paper/2305.17212","citing_paper":"/paper/2606.29176"},"observation_digest":"sha256:8c0b21fd23ba66ad605c38df13d90a25307e576da1e7f2d99637a20aecefeb61","observation_id":"3f213c73-94ca-477b-9b7b-aa08de0a1caa","resolution":{"observed_at":"2026-06-30T08:04:28.150136Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.17212","last_updated":"2024-06-03T15:57:47Z","snapshot_observed_at":"2026-07-06T15:34:09.163519Z","submitted_at":"2023-05-26T19:14:01Z","title":"Rotational Equilibrium: How Weight Decay Balances Learning Across Neural Networks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.17212","snapshot_observed_at":"2026-08-02T06:45:16.141224Z","title":"Rotational equilibrium: How weight decay balances learning across neural networks.arXiv preprint arXiv:2305.17212, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.20548","last_updated":"2026-07-13T21:47:08Z","snapshot_observed_at":"2026-08-06T06:09:03.498548Z","submitted_at":"2026-07-13T21:47:08Z","title":"SOAP, Muon, and Beyond: Pushing LLM Pretraining Scales","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-02T06:45:16.141224Z"},"links":{"cited_paper":"/paper/2305.17212","citing_paper":"/paper/2607.20548"},"observation_digest":"sha256:64953025fbb992212d104777e5b4c298bd349f27565d4970176473fa9bad60e7","observation_id":"878d8978-c3a8-4f8b-9b0a-410cf6543df5","resolution":{"observed_at":"2026-08-02T06:45:16.141224Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.17212","last_updated":"2024-06-03T15:57:47Z","snapshot_observed_at":"2026-07-06T15:34:09.163519Z","submitted_at":"2023-05-26T19:14:01Z","title":"Rotational Equilibrium: How Weight Decay Balances Learning Across Neural Networks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.17212","snapshot_observed_at":"2026-07-30T12:53:41.065516Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.23777","last_updated":"2026-07-26T17:55:40Z","snapshot_observed_at":"2026-07-30T23:56:43.497541Z","submitted_at":"2026-07-26T17:55:40Z","title":"Scale Weight Decay and Train Better","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-07-30T12:53:41.065516Z"},"links":{"cited_paper":"/paper/2305.17212","citing_paper":"/paper/2607.23777"},"observation_digest":"sha256:f668e0227c0b5022c8b7534f5a185548547755f1ef93e1b7314042f1092b9f4c","observation_id":"08e3f009-f43f-49fc-aaa1-048424f4be36","resolution":{"observed_at":"2026-07-30T12:53:41.065516Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2305.17212/citation-record","integrity":"/paper/2305.17212/integrity","json":"/paper/2305.17212/citation-record.json","paper":"/paper/2305.17212"},"outbound":[],"paper":{"arxiv_id":"2305.17212","last_updated":"2024-06-03T15:57:47Z","latest_version":4,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T15:34:09.163519Z","submitted_at":"2023-05-26T19:14:01Z","title":"Rotational Equilibrium: How Weight Decay Balances Learning Across Neural Networks"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2305.17212."}