{"as_of":"2026-08-06T18:51:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:77efea517ba0012ef2e5d86ac4a4f4c32b8f6a1d17de2455e4fd40b8be5d2bf1","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":67,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":67,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-06T06:34:29.942622+00:00","state":"measured"},{"denominator":67,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":67,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T18:17:30.586662Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"pith","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":186,"observed_at":"2026-08-05T02:28:24.338817Z","source":"pith"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":"1405.2020","doi":"10.1109/sc41405.2020","metadata_source":"pith","pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Generalized Slow Roll for Tensors","venue":"astro-ph.CO","work_id":"32348cef-09e4-43f2-b53c-d785fa1937a5","year":2014},"citing_paper":{"arxiv_id":"1906.09299","last_updated":"2019-06-21T19:25:20Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2019-06-21T19:25:20Z","title":"Noncanonical Approaches To Inflation","version":1},"reference_index":141,"source":"pdf_text","source_observed_at":"2026-05-25T18:32:50.071252Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/1906.09299"},"observation_digest":"sha256:e21cc4c22a5edb5d44c0c72dd4deca9630b29a883ecd91c8fe284449dbf397a7","observation_id":"5ff7c135-e345-4ffc-b4c3-c68400f91d14","resolution":{"observed_at":"2026-05-25T18:36:09.155579Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":"1405.2020","doi":"10.1109/sc41405.2020","metadata_source":"pith","pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Generalized Slow Roll for Tensors","venue":"astro-ph.CO","work_id":"32348cef-09e4-43f2-b53c-d785fa1937a5","year":2014},"citing_paper":{"arxiv_id":"2211.05100","last_updated":"2023-06-27T09:57:58Z","snapshot_observed_at":"2026-08-04T18:56:03.233715Z","submitted_at":"2022-11-09T18:48:09Z","title":"BLOOM: A 176B-Parameter Open-Access Multilingual Language Model","version":4},"reference_index":122,"source":"arxiv_source","source_observed_at":"2026-07-11T11:50:26.030339Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2211.05100"},"observation_digest":"sha256:cb652b708286dbea50862c0c205a8fdf2e651669b05c4ecf91e32a4a3035287b","observation_id":"eb35a13b-c526-4cb3-8c36-a7ce6a7ad9fd","resolution":{"observed_at":"2026-05-12T00:51:11.403873Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":"1405.2020","doi":"10.1109/sc41405.2020","metadata_source":"pith","pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Generalized Slow Roll for Tensors","venue":"astro-ph.CO","work_id":"32348cef-09e4-43f2-b53c-d785fa1937a5","year":2014},"citing_paper":{"arxiv_id":"2310.01801","last_updated":"2024-10-29T18:26:09Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-10-03T05:17:08Z","title":"Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs","version":4},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-07-11T11:50:26.030339Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2310.01801"},"observation_digest":"sha256:3c7fefbdcaac558b3ac424c6a3fa14e07e4b1fca17c80a23f619b437b9936357","observation_id":"5b8b3463-4611-4842-96f1-a3a186944aac","resolution":{"observed_at":"2026-05-17T11:11:21.660464Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":"1405.2020","doi":"10.1109/sc41405.2020","metadata_source":"pith","pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Generalized Slow Roll for Tensors","venue":"astro-ph.CO","work_id":"32348cef-09e4-43f2-b53c-d785fa1937a5","year":2014},"citing_paper":{"arxiv_id":"2311.01468","last_updated":"2023-10-30T19:29:00Z","snapshot_observed_at":"2026-08-02T18:45:20.640717Z","submitted_at":"2023-10-30T19:29:00Z","title":"Remember what you did so you know what to do next","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-07-11T11:50:26.030339Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2311.01468"},"observation_digest":"sha256:17901429c9b76ac4e3fa108eca25c81e4dac6d4035e6fe0efc6a2c2648d2ee13","observation_id":"b4ad2982-5aa9-4181-b403-0735c5499f03","resolution":{"observed_at":"2026-05-25T08:25:33.827213Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":"1405.2020","doi":"10.1109/sc41405.2020","metadata_source":"pith","pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Generalized Slow Roll for Tensors","venue":"astro-ph.CO","work_id":"32348cef-09e4-43f2-b53c-d785fa1937a5","year":2014},"citing_paper":{"arxiv_id":"2401.06066","last_updated":"2024-01-11T17:31:42Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-01-11T17:31:42Z","title":"DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-07-11T11:50:26.030339Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2401.06066"},"observation_digest":"sha256:0280d71a50b6ad775e01d57a4bfc0e854e024a0ebc101fbb3a352a59274a7e13","observation_id":"655bfaa4-2873-4f15-8ad5-e726b239b654","resolution":{"observed_at":"2026-05-11T22:50:08.115719Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":"1405.2020","doi":"10.1109/sc41405.2020","metadata_source":"pith","pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Generalized Slow Roll for Tensors","venue":"astro-ph.CO","work_id":"32348cef-09e4-43f2-b53c-d785fa1937a5","year":2014},"citing_paper":{"arxiv_id":"2502.05171","last_updated":"2025-02-17T17:14:04Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-02-07T18:55:02Z","title":"Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach","version":2},"reference_index":126,"source":"arxiv_source","source_observed_at":"2026-07-11T11:50:26.030339Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2502.05171"},"observation_digest":"sha256:a637642c2cf610099279ec3082bb0cffb9e91a65b5fd70f0706e94d43bf035df","observation_id":"2ef4dde6-2188-4a72-b073-e137953782e4","resolution":{"observed_at":"2026-05-12T15:39:41.165153Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":"1405.2020","doi":"10.1109/sc41405.2020","metadata_source":"pith","pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Generalized Slow Roll for Tensors","venue":"astro-ph.CO","work_id":"32348cef-09e4-43f2-b53c-d785fa1937a5","year":2014},"citing_paper":{"arxiv_id":"2502.16982","last_updated":"2025-02-24T09:12:29Z","snapshot_observed_at":"2026-08-02T00:32:51.000665Z","submitted_at":"2025-02-24T09:12:29Z","title":"Muon is Scalable for LLM Training","version":1},"reference_index":85,"source":"arxiv_source","source_observed_at":"2026-07-11T11:50:26.030339Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2502.16982"},"observation_digest":"sha256:ce7d8f2964ff563ac2b80a274de214c1fa14500a5100f4a541fd738a0447bc64","observation_id":"6e9ae587-8672-4b42-8429-ede093b82551","resolution":{"observed_at":"2026-05-11T23:02:51.871689Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":"1405.2020","doi":"10.1109/sc41405.2020","metadata_source":"pith","pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Generalized Slow Roll for Tensors","venue":"astro-ph.CO","work_id":"32348cef-09e4-43f2-b53c-d785fa1937a5","year":2014},"citing_paper":{"arxiv_id":"2505.06119","last_updated":"2026-04-10T15:35:05Z","snapshot_observed_at":"2026-07-06T21:21:29.121212Z","submitted_at":"2025-05-09T15:17:42Z","title":"Tensor-Parallel Emulation of Quantum Circuits with Block-Cyclic Distributed Matrix Product States","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-07-11T11:50:26.030339Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2505.06119"},"observation_digest":"sha256:45621fe30badea3d188a9b9764154b6e4244df398d1d722982be64d6569042d2","observation_id":"0024b0a4-aa18-4af4-9221-63f9f3cf5c92","resolution":{"observed_at":"2026-05-22T15:51:45.445820Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":"1405.2020","doi":"10.1109/sc41405.2020","metadata_source":"pith","pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Generalized Slow Roll for Tensors","venue":"astro-ph.CO","work_id":"32348cef-09e4-43f2-b53c-d785fa1937a5","year":2014},"citing_paper":{"arxiv_id":"2505.24298","last_updated":"2026-03-02T03:07:29Z","snapshot_observed_at":"2026-08-02T16:10:09.199211Z","submitted_at":"2025-05-30T07:18:25Z","title":"AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning","version":5},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-07-11T11:50:26.030339Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2505.24298"},"observation_digest":"sha256:5991c6b146bc0bc134cd6a7f492aa88e19db270b2480b05669df38ec9b71e4db","observation_id":"4cfce521-ebf0-4a16-bfe9-efb03efa7f1c","resolution":{"observed_at":"2026-05-15T14:24:22.016165Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-06T18:17:30.586662Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.14179","last_updated":"2025-07-11T19:07:29Z","snapshot_observed_at":"2026-08-06T18:05:31.543791Z","submitted_at":"2025-07-11T19:07:29Z","title":"A Sparsity Predicting Approach for Large Language Models via Activation Pattern Clustering","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T18:17:30.586662Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2507.14179"},"observation_digest":"sha256:a7cba87458e8f9d2f2f4049a10c8797bfae24dc5e98fc0563c12749fc8a7e47e","observation_id":"9f7bc0c5-bdc2-4da4-9206-6ea4aa18ce2e","resolution":{"observed_at":"2026-08-06T18:17:30.586662Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-05T21:59:30.126019Z","title":"Gpu lifetimes on titan supercomputer: Survival analysis and reliabil- ity,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.07706","last_updated":"2025-08-11T07:34:04Z","snapshot_observed_at":"2026-08-06T13:35:26.751990Z","submitted_at":"2025-08-11T07:34:04Z","title":"Energy Consumption in Parallel Neural Network Training","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-05T21:59:30.126019Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2508.07706"},"observation_digest":"sha256:6963944210f1459b4700c2d4cfc9bf5ca8fab422e6bd2ff9545241e6140c475a","observation_id":"fb70ed2a-5bac-4d0e-aade-367028f1c443","resolution":{"observed_at":"2026-08-05T21:59:30.126019Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-05T21:23:51.547143Z","title":"McMahon, Duncan Roweth, and Torsten Hoefler","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.08902","last_updated":"2025-08-12T12:49:21Z","snapshot_observed_at":"2026-08-06T16:01:31.811628Z","submitted_at":"2025-08-12T12:49:21Z","title":"Unveiling orbital optical chirality through multipolar chiral light-matter interaction","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T21:23:51.547143Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2508.08902"},"observation_digest":"sha256:b2c748718417a3963aae4015167c4c6b1d818b8a3ff4a702340fbb6ff61cd959","observation_id":"448d3794-208c-493f-a7d8-cbc8837faf46","resolution":{"observed_at":"2026-08-05T21:23:51.547143Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":"1405.2020","doi":"10.1109/sc41405.2020","metadata_source":"pith","pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Generalized Slow Roll for Tensors","venue":"astro-ph.CO","work_id":"32348cef-09e4-43f2-b53c-d785fa1937a5","year":2014},"citing_paper":{"arxiv_id":"2508.16809","last_updated":"2026-04-11T18:53:48Z","snapshot_observed_at":"2026-07-06T22:16:57.749138Z","submitted_at":"2025-08-22T21:30:59Z","title":"PICO: Performance Insights for Collective Operations","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-11T11:50:26.030339Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2508.16809"},"observation_digest":"sha256:5e4132403958a2955c0f79ba30c02941024be8760eda6a44ef4eba8cb400446d","observation_id":"3da3b252-b60a-4823-a959-0d4cb5838154","resolution":{"observed_at":"2026-05-18T20:46:50.122599Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-05T16:30:12.632120Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.18381","last_updated":"2025-08-25T18:15:25Z","snapshot_observed_at":"2026-08-05T16:29:59.554735Z","submitted_at":"2025-08-25T18:15:25Z","title":"Language-Specific Layer Matters: Efficient Multilingual Enhancement for Large Vision-Language Models","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-05T16:30:12.632120Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2508.18381"},"observation_digest":"sha256:bcfee05f390b316ec861570a57637ab413766d68467626f7b992d6cff3df1eb5","observation_id":"c468d47c-8b0c-4fde-ba37-9cea58f68491","resolution":{"observed_at":"2026-08-05T16:30:12.632120Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-05T16:08:19.348224Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.18969","last_updated":"2025-08-26T12:13:17Z","snapshot_observed_at":"2026-08-05T16:08:17.930817Z","submitted_at":"2025-08-26T12:13:17Z","title":"Deep Learning-Enabled Supercritical Flame Simulation at Detailed Chemistry and Real-Fluid Accuracy Towards Trillion-Cell Scale","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T16:08:19.348224Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2508.18969"},"observation_digest":"sha256:7971ea16914a150e4712f72c8965ec94e48b924739c6582ff08971d30d205b42","observation_id":"01865501-d6a8-4996-ae64-1c2839f2b43e","resolution":{"observed_at":"2026-08-05T16:08:19.348224Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-05T13:54:44.870728Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2509.00280","last_updated":"2025-08-29T23:45:09Z","snapshot_observed_at":"2026-08-05T13:54:40.159744Z","submitted_at":"2025-08-29T23:45:09Z","title":"ReLATE: Learning Efficient Sparse Encoding for High-Performance Tensor Decomposition","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-05T13:54:44.870728Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2509.00280"},"observation_digest":"sha256:a75e0c0d4b1da93bdbcff9a3459022321d9423b48a022f147f0d9165ba7778f6","observation_id":"67891337-2ab4-4727-b9ba-03bdc50660aa","resolution":{"observed_at":"2026-08-05T13:54:44.870728Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-04T22:01:18.534737Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2509.07588","last_updated":"2025-09-09T10:59:47Z","snapshot_observed_at":"2026-08-04T22:01:17.030088Z","submitted_at":"2025-09-09T10:59:47Z","title":"BALI: Enhancing Biomedical Language Representations through Knowledge Graph and Language Model Alignment","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-04T22:01:18.534737Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2509.07588"},"observation_digest":"sha256:142678d3f8ec6212201f723ce69875eb8ccf38c9fe820a27e87703f2b848a6a5","observation_id":"e7da3ac1-5a6e-4182-9dfb-6bde0ffe70fb","resolution":{"observed_at":"2026-08-04T22:01:18.534737Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":"1405.2020","doi":"10.1109/sc41405.2020","metadata_source":"pith","pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Generalized Slow Roll for Tensors","venue":"astro-ph.CO","work_id":"32348cef-09e4-43f2-b53c-d785fa1937a5","year":2014},"citing_paper":{"arxiv_id":"2509.14234","last_updated":"2026-05-09T12:06:02Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-09-17T17:59:42Z","title":"Compute as Teacher: Turning Inference Compute Into Reference-Free Supervision","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-11T11:50:26.030339Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2509.14234"},"observation_digest":"sha256:c6d30f3ee7a1bd05207fd771a3cd8e267d3537b1479694cacdb05143f742d4ec","observation_id":"4fa41502-a1f0-4ce5-9eb5-dea047ca91de","resolution":{"observed_at":"2026-05-18T15:46:33.972453Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":"1405.2020","doi":"10.1109/sc41405.2020","metadata_source":"pith","pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Generalized Slow Roll for Tensors","venue":"astro-ph.CO","work_id":"32348cef-09e4-43f2-b53c-d785fa1937a5","year":2014},"citing_paper":{"arxiv_id":"2510.11938","last_updated":"2026-05-09T02:54:37Z","snapshot_observed_at":"2026-07-06T22:32:32.632779Z","submitted_at":"2025-10-13T21:01:40Z","title":"FlexPipe: Adapting Dynamic LLM Serving Through Inflight Pipeline Refactoring in Fragmented Serverless Clusters","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-07-11T11:50:26.030339Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2510.11938"},"observation_digest":"sha256:d8f4c554e600aef28fb7711cff4052e54f449984c9f674bffc6783e58706b1b0","observation_id":"8ac28fb6-e3ce-420b-861e-d3321f0a9cca","resolution":{"observed_at":"2026-05-18T07:11:03.505916Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":"1405.2020","doi":"10.1109/sc41405.2020","metadata_source":"pith","pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Generalized Slow Roll for Tensors","venue":"astro-ph.CO","work_id":"32348cef-09e4-43f2-b53c-d785fa1937a5","year":2014},"citing_paper":{"arxiv_id":"2510.18058","last_updated":"2026-06-09T19:46:37Z","snapshot_observed_at":"2026-08-04T09:00:07.144818Z","submitted_at":"2025-10-20T19:52:30Z","title":"A New Broadcast Model for Several Network Topologies","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-11T11:50:26.030339Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2510.18058"},"observation_digest":"sha256:aaeacf853b4edf3a12029c1e73bb919da81723acf548c56e25b41e1abb815e55","observation_id":"fd38ba12-81a9-426a-a5a2-72af7cdb32f6","resolution":{"observed_at":"2026-05-18T05:40:55.765919Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-04T09:00:07.776128Z","title":"In: SC20: International Conference for High Performance Computing, Networking, Storage and Analysis, pp","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2510.18058","last_updated":"2026-06-09T19:46:37Z","snapshot_observed_at":"2026-08-04T09:00:07.144818Z","submitted_at":"2025-10-20T19:52:30Z","title":"A New Broadcast Model for Several Network Topologies","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-04T09:00:07.776128Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2510.18058"},"observation_digest":"sha256:83e6d9a078533ef86be8cd1b5afd8cd3f9edc68c3c14469f8eebd30f037ac2ce","observation_id":"b07216cd-7eeb-4825-b235-8bedbdfabd2b","resolution":{"observed_at":"2026-08-04T09:00:07.776128Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-03T21:17:20.508453Z","title":"ZeRO: Memory Optimizations Toward Training Trillion Parameter Models,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2511.16182","last_updated":"2026-05-27T23:35:02Z","snapshot_observed_at":"2026-08-03T21:17:18.055264Z","submitted_at":"2025-11-20T09:40:09Z","title":"Green Distributed AI Training: Orchestrating Compute Across Renewable-Powered Micro Datacenters","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-03T21:17:20.508453Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2511.16182"},"observation_digest":"sha256:e11bbbe70b5fb2d6e629d11f7563e2aea52266e72dbb34c484fffae5ccf7a052","observation_id":"d296bd2f-84c6-478c-94ed-f26814a09b48","resolution":{"observed_at":"2026-08-03T21:17:20.508453Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":"1405.2020","doi":"10.1109/sc41405.2020","metadata_source":"pith","pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Generalized Slow Roll for Tensors","venue":"astro-ph.CO","work_id":"32348cef-09e4-43f2-b53c-d785fa1937a5","year":2014},"citing_paper":{"arxiv_id":"2512.12476","last_updated":"2026-04-11T14:05:07Z","snapshot_observed_at":"2026-07-06T22:38:59.725645Z","submitted_at":"2025-12-13T22:20:51Z","title":"HetRL: Efficient Reinforcement Learning for LLMs in Heterogeneous Environments","version":2},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-07-11T11:50:26.030339Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2512.12476"},"observation_digest":"sha256:d20a36fd1338896e71613b4e3c4000591b449be46701fa67d0dd6205f29a0226","observation_id":"0f62d8ba-0398-44d4-81ba-eea6dae5c7d9","resolution":{"observed_at":"2026-05-16T22:23:36.667240Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":"1405.2020","doi":"10.1109/sc41405.2020","metadata_source":"pith","pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Generalized Slow Roll for Tensors","venue":"astro-ph.CO","work_id":"32348cef-09e4-43f2-b53c-d785fa1937a5","year":2014},"citing_paper":{"arxiv_id":"2512.22113","last_updated":"2026-04-29T01:51:49Z","snapshot_observed_at":"2026-07-30T23:54:55.354341Z","submitted_at":"2025-12-26T18:56:18Z","title":"PRAXIS: Integrating Program Analysis with Observability for Root-Cause Analysis","version":3},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-07-11T11:50:26.030339Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2512.22113"},"observation_digest":"sha256:cda4f813db94e6ba57785ccd60117b2b86eeebf81116393bb8e9d4c6092785a1","observation_id":"2510d81c-2b19-4220-87ac-cff77fc3dbd4","resolution":{"observed_at":"2026-05-16T19:18:19.040918Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":"1405.2020","doi":"10.1109/sc41405.2020","metadata_source":"pith","pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Generalized Slow Roll for Tensors","venue":"astro-ph.CO","work_id":"32348cef-09e4-43f2-b53c-d785fa1937a5","year":2014},"citing_paper":{"arxiv_id":"2601.11568","last_updated":"2026-04-29T11:50:41Z","snapshot_observed_at":"2026-08-05T06:39:07.257844Z","submitted_at":"2025-12-27T14:11:08Z","title":"AdaFRUGAL: Adaptive Memory-Efficient Training with Dynamic Control","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-07-11T11:50:26.030339Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2601.11568"},"observation_digest":"sha256:8f0371a397c88411c2c21e1540da6f4a8a6960933799b0e5c3fb9f3b73365287","observation_id":"d734f289-e5ab-4486-b0c6-7dd2b58f736a","resolution":{"observed_at":"2026-05-16T19:18:19.284181Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-03T09:09:51.817397Z","title":"In: Proceedi ngs International Con- ference for High Performance Computing, Networking, Stora ge and Analysis (SC)","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2601.14608","last_updated":"2026-03-13T03:11:04Z","snapshot_observed_at":"2026-08-03T09:09:50.236386Z","submitted_at":"2026-01-21T02:57:36Z","title":"Exploring Performance-Productivity Trade-offs in AMT Runtimes: A Task Bench Study of Itoyori, ItoyoriFBC, HPX, and MPI","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-03T09:09:51.817397Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2601.14608"},"observation_digest":"sha256:6257f8be78d2dcbe8e15a0647f6b225c4376d461dadbda49fd8e665f0ae9d2d3","observation_id":"ad3ab4eb-cc37-4b9e-8f26-784e0e3778f0","resolution":{"observed_at":"2026-08-03T09:09:51.817397Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":"1405.2020","doi":"10.1109/sc41405.2020","metadata_source":"pith","pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Generalized Slow Roll for Tensors","venue":"astro-ph.CO","work_id":"32348cef-09e4-43f2-b53c-d785fa1937a5","year":2014},"citing_paper":{"arxiv_id":"2604.07345","last_updated":"2026-04-08T17:56:41Z","snapshot_observed_at":"2026-07-06T22:55:37.787732Z","submitted_at":"2026-04-08T17:56:41Z","title":"Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-07-11T11:50:26.030339Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2604.07345"},"observation_digest":"sha256:5e0680a726c7ede7714312d6e50d4bfb25bef91450494e4f7aa7b28bea08ab9d","observation_id":"724b02f6-121e-478a-824e-ed1d845f405d","resolution":{"observed_at":"2026-05-10T17:25:38.853039Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":"1405.2020","doi":"10.1109/sc41405.2020","metadata_source":"pith","pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Generalized Slow Roll for Tensors","venue":"astro-ph.CO","work_id":"32348cef-09e4-43f2-b53c-d785fa1937a5","year":2014},"citing_paper":{"arxiv_id":"2604.09419","last_updated":"2026-04-10T15:30:43Z","snapshot_observed_at":"2026-08-02T18:13:56.865033Z","submitted_at":"2026-04-10T15:30:43Z","title":"NOMAD: Generating Embeddings for Massive Distributed Graphs","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-11T11:50:26.030339Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2604.09419"},"observation_digest":"sha256:0af2a338a9402c1994272975ed5f44f90bfa4637cc49061dda8c5a4495909348","observation_id":"b85e55f4-a6b1-4f1a-8c8a-61af847d1b80","resolution":{"observed_at":"2026-05-10T20:30:48.856343Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":"1405.2020","doi":"10.1109/sc41405.2020","metadata_source":"pith","pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Generalized Slow Roll for Tensors","venue":"astro-ph.CO","work_id":"32348cef-09e4-43f2-b53c-d785fa1937a5","year":2014},"citing_paper":{"arxiv_id":"2604.17834","last_updated":"2026-04-20T05:44:31Z","snapshot_observed_at":"2026-07-06T23:04:50.935335Z","submitted_at":"2026-04-20T05:44:31Z","title":"AsyncSparse: Accelerating Sparse Matrix-Matrix Multiplication on Asynchronous GPU Architectures","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-11T11:50:26.030339Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2604.17834"},"observation_digest":"sha256:cf6c2006456471b2eda3a4d2867dd8de36dccf263307667bffed10e386659151","observation_id":"4c2be7e5-f589-46f8-b842-3419f03e02c4","resolution":{"observed_at":"2026-05-10T04:40:16.942607Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":"1405.2020","doi":"10.1109/sc41405.2020","metadata_source":"pith","pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Generalized Slow Roll for Tensors","venue":"astro-ph.CO","work_id":"32348cef-09e4-43f2-b53c-d785fa1937a5","year":2014},"citing_paper":{"arxiv_id":"2604.17834","last_updated":"2026-04-20T05:44:31Z","snapshot_observed_at":"2026-07-06T23:04:50.935335Z","submitted_at":"2026-04-20T05:44:31Z","title":"AsyncSparse: Accelerating Sparse Matrix-Matrix Multiplication on Asynchronous GPU Architectures","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-07-11T11:50:26.030339Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2604.17834"},"observation_digest":"sha256:b7510682b1da620e53f93b7d3576636a123ca8c45b0e7d52348d9732c9b3eccb","observation_id":"a2f965d3-f4c0-4c6b-a799-25466a90537a","resolution":{"observed_at":"2026-05-10T04:40:16.956631Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":"1405.2020","doi":"10.1109/sc41405.2020","metadata_source":"pith","pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Generalized Slow Roll for Tensors","venue":"astro-ph.CO","work_id":"32348cef-09e4-43f2-b53c-d785fa1937a5","year":2014},"citing_paper":{"arxiv_id":"2604.19355","last_updated":"2026-05-27T09:37:48Z","snapshot_observed_at":"2026-07-06T23:06:02.635464Z","submitted_at":"2026-04-21T11:36:09Z","title":"LASER: Learning Active Sensing for Continuum Field Reconstruction","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-07-11T11:50:26.030339Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2604.19355"},"observation_digest":"sha256:385bf8efab2417f842dde501dd5afbddf5171807fe45bf4385b562354ff884b8","observation_id":"4eb43465-35d1-4780-8473-e27d8283ce86","resolution":{"observed_at":"2026-05-10T05:00:37.334739Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":"1405.2020","doi":"10.1109/sc41405.2020","metadata_source":"pith","pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Generalized Slow Roll for Tensors","venue":"astro-ph.CO","work_id":"32348cef-09e4-43f2-b53c-d785fa1937a5","year":2014},"citing_paper":{"arxiv_id":"2604.22688","last_updated":"2026-04-27T02:54:19Z","snapshot_observed_at":"2026-07-06T23:09:01.221922Z","submitted_at":"2026-04-24T16:24:05Z","title":"COMPASS: A Unified Decision-Intelligence System for Navigating Performance Trade-off in HPC","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-08T08:53:25.483782Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2604.22688"},"observation_digest":"sha256:78658d7da60ee3300a268a20dd2c1458a3ecebd26906177d2287346585b9bfb8","observation_id":"d1b280ea-8623-427b-9c60-9e8ba1efd86d","resolution":{"observed_at":"2026-05-08T22:29:19.245553Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":"1405.2020","doi":"10.1109/sc41405.2020","metadata_source":"pith","pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Generalized Slow Roll for Tensors","venue":"astro-ph.CO","work_id":"32348cef-09e4-43f2-b53c-d785fa1937a5","year":2014},"citing_paper":{"arxiv_id":"2604.25617","last_updated":"2026-04-28T13:24:25Z","snapshot_observed_at":"2026-08-04T01:45:28.496918Z","submitted_at":"2026-04-28T13:24:25Z","title":"AI-Powered Surrogate Modelling for Multiscale Combustion: A Critical Review and Opportunities","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-05-07T14:13:10.563497Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2604.25617"},"observation_digest":"sha256:51be37cd9ff9f8f4fbcbf606bd18f4c854e98fa14c831defbca8055d8b176a02","observation_id":"197bfd5a-7e9a-404d-88e7-db5f260e0429","resolution":{"observed_at":"2026-05-09T02:59:53.027153Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":"1405.2020","doi":"10.1109/sc41405.2020","metadata_source":"pith","pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Generalized Slow Roll for Tensors","venue":"astro-ph.CO","work_id":"32348cef-09e4-43f2-b53c-d785fa1937a5","year":2014},"citing_paper":{"arxiv_id":"2604.26687","last_updated":"2026-04-29T13:52:38Z","snapshot_observed_at":"2026-07-06T23:12:19.460065Z","submitted_at":"2026-04-29T13:52:38Z","title":"COPUS: Co-adaptive Parallelism and Batch Size Selection in Large Language Model Training","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-07T11:25:24.079444Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2604.26687"},"observation_digest":"sha256:b014c6c0283029e6cd0df1fb5659fa1fbaefb6b45399c3c6804c25b4b3093c7c","observation_id":"0658506d-9c48-4f4b-875c-4ac4f0b9d9ac","resolution":{"observed_at":"2026-05-09T03:55:07.806803Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":"1405.2020","doi":"10.1109/sc41405.2020","metadata_source":"pith","pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Generalized Slow Roll for Tensors","venue":"astro-ph.CO","work_id":"32348cef-09e4-43f2-b53c-d785fa1937a5","year":2014},"citing_paper":{"arxiv_id":"2605.01124","last_updated":"2026-05-01T21:51:21Z","snapshot_observed_at":"2026-07-06T23:14:24.758147Z","submitted_at":"2026-05-01T21:51:21Z","title":"Practical Formal Verification for MLIR Programs","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-07-11T11:50:26.030339Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2605.01124"},"observation_digest":"sha256:491791147409d9f2c8f32456cc52cb4a587d86e317e9bfedb521ffe3133c7d76","observation_id":"9cbe94be-cf48-421a-bfeb-5a41e0bde68f","resolution":{"observed_at":"2026-05-09T22:29:06.113370Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":"1405.2020","doi":"10.1109/sc41405.2020","metadata_source":"pith","pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Generalized Slow Roll for Tensors","venue":"astro-ph.CO","work_id":"32348cef-09e4-43f2-b53c-d785fa1937a5","year":2014},"citing_paper":{"arxiv_id":"2605.01938","last_updated":"2026-05-03T15:36:42Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-03T15:36:42Z","title":"Cross-Layer Energy Analysis of Multimodal Training on Grace Hopper Superchips","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-11T11:50:26.030339Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2605.01938"},"observation_digest":"sha256:7b5ade632009b3710f3f19128a3b062ca233d49ab8443ec75f3c9efa4d5ecca6","observation_id":"0273df30-a9bf-4d8e-8eaf-9cf9701301d8","resolution":{"observed_at":"2026-05-09T21:58:47.301840Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":"1405.2020","doi":"10.1109/sc41405.2020","metadata_source":"pith","pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Generalized Slow Roll for Tensors","venue":"astro-ph.CO","work_id":"32348cef-09e4-43f2-b53c-d785fa1937a5","year":2014},"citing_paper":{"arxiv_id":"2605.03561","last_updated":"2026-05-09T18:19:16Z","snapshot_observed_at":"2026-07-06T23:16:30.147006Z","submitted_at":"2026-05-05T09:33:26Z","title":"Enhancing Performance Insight at Scale: A Heterogeneous Framework for Exascale Diagnostics","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-05-07T14:27:51.221141Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2605.03561"},"observation_digest":"sha256:a36b040488882f858145225e408d0b78dfedf4c6f6356de98f2b10359149c4fa","observation_id":"35263c79-a9ee-499d-91c3-445f6b5fabb6","resolution":{"observed_at":"2026-05-09T05:35:24.003752Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":"1405.2020","doi":"10.1109/sc41405.2020","metadata_source":"pith","pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Generalized Slow Roll for Tensors","venue":"astro-ph.CO","work_id":"32348cef-09e4-43f2-b53c-d785fa1937a5","year":2014},"citing_paper":{"arxiv_id":"2605.03561","last_updated":"2026-05-09T18:19:16Z","snapshot_observed_at":"2026-07-06T23:16:30.147006Z","submitted_at":"2026-05-05T09:33:26Z","title":"Enhancing Performance Insight at Scale: A Heterogeneous Framework for Exascale Diagnostics","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-07-11T11:50:26.030339Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2605.03561"},"observation_digest":"sha256:9ee760ec7bae7198957ab8accb4fb13d53fc34fd54bc6687a54e7df280e8e8ce","observation_id":"674046d3-97c6-454d-b174-07cddd531c08","resolution":{"observed_at":"2026-05-12T02:41:16.909682Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":"1405.2020","doi":"10.1109/sc41405.2020","metadata_source":"pith","pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Generalized Slow Roll for Tensors","venue":"astro-ph.CO","work_id":"32348cef-09e4-43f2-b53c-d785fa1937a5","year":2014},"citing_paper":{"arxiv_id":"2605.03981","last_updated":"2026-05-05T17:05:05Z","snapshot_observed_at":"2026-07-06T23:16:49.553583Z","submitted_at":"2026-05-05T17:05:05Z","title":"Selecting optimal unrestricted Hartree-Fock trial wavefunctions for phaseless auxiliary-field quantum Monte Carlo: Accuracy and limitations in modeling three iron-sulfur clusters","version":1},"reference_index":276,"source":"arxiv_source","source_observed_at":"2026-05-07T12:45:48.534531Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2605.03981"},"observation_digest":"sha256:e9197de4a3282a6ecd70aaaa1909aaa69847bb6b62eb8332697e4ec7c137a918","observation_id":"644a8126-d9d2-417e-a1e2-dde949276096","resolution":{"observed_at":"2026-05-09T03:40:07.328023Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":"1405.2020","doi":"10.1109/sc41405.2020","metadata_source":"pith","pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Generalized Slow Roll for Tensors","venue":"astro-ph.CO","work_id":"32348cef-09e4-43f2-b53c-d785fa1937a5","year":2014},"citing_paper":{"arxiv_id":"2605.05049","last_updated":"2026-05-06T15:47:14Z","snapshot_observed_at":"2026-08-02T19:55:25.393308Z","submitted_at":"2026-05-06T15:47:14Z","title":"Piper: Efficient Large-Scale MoE Training via Resource Modeling and Pipelined Hybrid Parallelism","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-08T17:04:02.418499Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2605.05049"},"observation_digest":"sha256:c049ce9e8694dbdfc62ccc8a280fa4f96ea755d5108ae4bf58eea27b8d604e59","observation_id":"ae9446c0-7d37-4c1b-ae77-c3ff3b932f00","resolution":{"observed_at":"2026-05-08T17:13:38.666087Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":"1405.2020","doi":"10.1109/sc41405.2020","metadata_source":"pith","pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Generalized Slow Roll for Tensors","venue":"astro-ph.CO","work_id":"32348cef-09e4-43f2-b53c-d785fa1937a5","year":2014},"citing_paper":{"arxiv_id":"2605.07621","last_updated":"2026-05-08T11:48:11Z","snapshot_observed_at":"2026-07-06T23:20:01.856093Z","submitted_at":"2026-05-08T11:48:11Z","title":"Entanglement-informed distributed wavefunction approach to scalable quantum many-body systems","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-07-11T11:50:26.030339Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2605.07621"},"observation_digest":"sha256:c284b4b53b9ca852f0294b750a1d441bdea1463832e0803e079eb78fe55c2697","observation_id":"70bf1847-4b65-478f-a94b-c9fef9db07e3","resolution":{"observed_at":"2026-05-11T02:20:52.646158Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":"1405.2020","doi":"10.1109/sc41405.2020","metadata_source":"pith","pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Generalized Slow Roll for Tensors","venue":"astro-ph.CO","work_id":"32348cef-09e4-43f2-b53c-d785fa1937a5","year":2014},"citing_paper":{"arxiv_id":"2605.20164","last_updated":"2026-05-19T17:50:18Z","snapshot_observed_at":"2026-07-06T23:30:49.211483Z","submitted_at":"2026-05-19T17:50:18Z","title":"Not Every Rubric Teaches Equally: Policy-Aware Rubric Rewards for RLVR","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-07-11T11:50:26.030339Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2605.20164"},"observation_digest":"sha256:a7b215ce4ee5ab98299d2db49a53c8f6619f8d582e14a2d4b764f6981d0fb152","observation_id":"d466dd43-d057-4777-8816-8335038dba33","resolution":{"observed_at":"2026-05-20T05:03:03.240814Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":"1405.2020","doi":"10.1109/sc41405.2020","metadata_source":"pith","pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Generalized Slow Roll for Tensors","venue":"astro-ph.CO","work_id":"32348cef-09e4-43f2-b53c-d785fa1937a5","year":2014},"citing_paper":{"arxiv_id":"2605.21442","last_updated":"2026-05-20T17:32:08Z","snapshot_observed_at":"2026-08-01T15:02:26.952382Z","submitted_at":"2026-05-20T17:32:08Z","title":"torchtune: PyTorch native post-training library","version":1},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-07-11T11:50:26.030339Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2605.21442"},"observation_digest":"sha256:6a8a580681a0c644354ff7f9949717de7e42ead9d5467ee152662c756dbe79cb","observation_id":"3c940b7c-a7fe-462b-95ec-0ffc6ea97fa4","resolution":{"observed_at":"2026-05-21T05:43:58.539653Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":"1405.2020","doi":"10.1109/sc41405.2020","metadata_source":"pith","pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Generalized Slow Roll for Tensors","venue":"astro-ph.CO","work_id":"32348cef-09e4-43f2-b53c-d785fa1937a5","year":2014},"citing_paper":{"arxiv_id":"2605.22567","last_updated":"2026-05-21T14:47:52Z","snapshot_observed_at":"2026-07-06T23:32:54.127514Z","submitted_at":"2026-05-21T14:47:52Z","title":"LANG: Reinforcement Learning for Multilingual Reasoning with Language-Adaptive Hint Guidance","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-07-11T11:50:26.030339Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2605.22567"},"observation_digest":"sha256:a5d5994de04e033dbc8a4560b618d43237fbbad78f6ff31bcec9b1d91697a48d","observation_id":"f28d80af-1271-49f0-a6f9-581440dd6fb9","resolution":{"observed_at":"2026-05-22T06:21:09.604809Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":"1405.2020","doi":"10.1109/sc41405.2020","metadata_source":"pith","pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Generalized Slow Roll for Tensors","venue":"astro-ph.CO","work_id":"32348cef-09e4-43f2-b53c-d785fa1937a5","year":2014},"citing_paper":{"arxiv_id":"2606.01190","last_updated":"2026-06-02T07:13:57Z","snapshot_observed_at":"2026-08-02T17:23:59.210472Z","submitted_at":"2026-05-31T12:11:49Z","title":"The anti-lexicographic SUS-anchor: a near-optimal k=1 sampling scheme","version":2},"reference_index":188,"source":"arxiv_source","source_observed_at":"2026-07-11T11:50:26.030339Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2606.01190"},"observation_digest":"sha256:3f64c6ab45f84d6bd0f17470705f0d29b5aac9a0413c53e9bc083c27cf2a2063","observation_id":"905d752b-8eda-4819-94d6-d49bd1f458be","resolution":{"observed_at":"2026-06-28T16:42:24.220362Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":"1405.2020","doi":"10.1109/sc41405.2020","metadata_source":"pith","pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Generalized Slow Roll for Tensors","venue":"astro-ph.CO","work_id":"32348cef-09e4-43f2-b53c-d785fa1937a5","year":2014},"citing_paper":{"arxiv_id":"2606.01967","last_updated":"2026-06-01T09:31:28Z","snapshot_observed_at":"2026-07-06T23:42:26.018647Z","submitted_at":"2026-06-01T09:31:28Z","title":"Training Prompt Matters: State-Adaptive Optimization for Robust Fine-Tuning","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-11T11:50:26.030339Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2606.01967"},"observation_digest":"sha256:e60fb856addc6ace81d2a7628d32c53f25f6cb55b178ffd50ab98f98a1966228","observation_id":"19c9a8fb-e838-4c4e-b426-62987fa08973","resolution":{"observed_at":"2026-06-28T15:12:18.371766Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":"1405.2020","doi":"10.1109/sc41405.2020","metadata_source":"pith","pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Generalized Slow Roll for Tensors","venue":"astro-ph.CO","work_id":"32348cef-09e4-43f2-b53c-d785fa1937a5","year":2014},"citing_paper":{"arxiv_id":"2606.02001","last_updated":"2026-06-01T09:57:52Z","snapshot_observed_at":"2026-07-06T23:42:30.555538Z","submitted_at":"2026-06-01T09:57:52Z","title":"Scaling Agentic Capabilities via Grounded Interaction Synthesis","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-07-11T11:50:26.030339Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2606.02001"},"observation_digest":"sha256:666af24d4ad4114b6eef5968f532dca36d970d01cf202d711dd229d9085c5659","observation_id":"df473f64-ce09-4c92-ae9d-77f71f7ff415","resolution":{"observed_at":"2026-06-28T15:12:18.658497Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":"1405.2020","doi":"10.1109/sc41405.2020","metadata_source":"pith","pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Generalized Slow Roll for Tensors","venue":"astro-ph.CO","work_id":"32348cef-09e4-43f2-b53c-d785fa1937a5","year":2014},"citing_paper":{"arxiv_id":"2606.04101","last_updated":"2026-06-18T09:05:09Z","snapshot_observed_at":"2026-08-06T18:51:08.635305Z","submitted_at":"2026-06-02T18:07:51Z","title":"UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing","version":3},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-07-11T11:50:26.030339Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2606.04101"},"observation_digest":"sha256:4f46bd97e841117316ec94b170a29ae34045a7f990e843c824109981a5414659","observation_id":"8b6d480d-a47d-4d87-87ec-7bab13f07e4a","resolution":{"observed_at":"2026-06-28T08:11:49.681441Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":"1405.2020","doi":"10.1109/sc41405.2020","metadata_source":"pith","pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Generalized Slow Roll for Tensors","venue":"astro-ph.CO","work_id":"32348cef-09e4-43f2-b53c-d785fa1937a5","year":2014},"citing_paper":{"arxiv_id":"2606.10415","last_updated":"2026-06-09T04:42:20Z","snapshot_observed_at":"2026-08-02T19:39:58.952361Z","submitted_at":"2026-06-09T04:42:20Z","title":"RATrain: A Resource-Aware Training Runtime for Large Language Models on Bandwidth-Constrained Heterogeneous Supercomputing Platforms","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-07-11T11:50:26.030339Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2606.10415"},"observation_digest":"sha256:39ca4b24e98cc3bc2913cef87a6bff1964dd3efef7432abc8bd11e4798ae6edd","observation_id":"a4c27f22-5f59-4035-903b-80e704ae0ba4","resolution":{"observed_at":"2026-06-27T14:10:58.757928Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":"1405.2020","doi":"10.1109/sc41405.2020","metadata_source":"pith","pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Generalized Slow Roll for Tensors","venue":"astro-ph.CO","work_id":"32348cef-09e4-43f2-b53c-d785fa1937a5","year":2014},"citing_paper":{"arxiv_id":"2606.16517","last_updated":"2026-06-30T13:49:08Z","snapshot_observed_at":"2026-07-06T23:52:37.922109Z","submitted_at":"2026-06-15T10:19:49Z","title":"How Post-Training Shapes Biological Reasoning Models","version":2},"reference_index":98,"source":"pdf_text","source_observed_at":"2026-07-11T11:50:26.030339Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2606.16517"},"observation_digest":"sha256:fa6c60c5e818197db0be3235535a5b9b96ac41f990cf608ee355a5f700fecb5a","observation_id":"83939c43-0804-4ef7-88d2-5e19336b0378","resolution":{"observed_at":"2026-07-01T07:55:30.303997Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":"1405.2020","doi":"10.1109/sc41405.2020","metadata_source":"pith","pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Generalized Slow Roll for Tensors","venue":"astro-ph.CO","work_id":"32348cef-09e4-43f2-b53c-d785fa1937a5","year":2014},"citing_paper":{"arxiv_id":"2606.17871","last_updated":"2026-06-16T12:42:09Z","snapshot_observed_at":"2026-07-06T23:53:25.839293Z","submitted_at":"2026-06-16T12:42:09Z","title":"StepGuard: Guarding Web Navigation via Single-Step Calibration","version":1},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-07-11T11:50:26.030339Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2606.17871"},"observation_digest":"sha256:612914d3be0d58781c7198472c7e3eb0697f0c60ebd9c9e1f65ef0c340b6183d","observation_id":"8861f45c-d310-444c-81d3-c7e58770c1f9","resolution":{"observed_at":"2026-06-27T01:40:21.158853Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":"1405.2020","doi":"10.1109/sc41405.2020","metadata_source":"pith","pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Generalized Slow Roll for Tensors","venue":"astro-ph.CO","work_id":"32348cef-09e4-43f2-b53c-d785fa1937a5","year":2014},"citing_paper":{"arxiv_id":"2606.25595","last_updated":"2026-06-24T09:02:19Z","snapshot_observed_at":"2026-08-04T08:49:04.648338Z","submitted_at":"2026-06-24T09:02:19Z","title":"Optimizing Semiconductor Device Simulations through Low-Precision Arithmetic","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-07-11T11:50:26.030339Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2606.25595"},"observation_digest":"sha256:b69588d0bf868d3facba2448d2008e05865cdf4c4fa09f9c476dd766695f866e","observation_id":"8d617087-e944-4fa8-80d4-c6e542a2a7d8","resolution":{"observed_at":"2026-06-25T20:28:19.560567Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":"1405.2020","doi":"10.1109/sc41405.2020","metadata_source":"pith","pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Generalized Slow Roll for Tensors","venue":"astro-ph.CO","work_id":"32348cef-09e4-43f2-b53c-d785fa1937a5","year":2014},"citing_paper":{"arxiv_id":"2606.26466","last_updated":"2026-06-25T00:01:58Z","snapshot_observed_at":"2026-08-03T06:15:59.949085Z","submitted_at":"2026-06-25T00:01:58Z","title":"Soft Token Alignment for Cross-Lingual Reasoning","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-07-11T11:50:26.030339Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2606.26466"},"observation_digest":"sha256:d33455169936451d0ad829a6869fd465f0d3efd94203330255c912a92fdab6a0","observation_id":"57284b31-698b-447c-a398-81f728c0dee6","resolution":{"observed_at":"2026-06-26T05:49:02.928437Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":"1405.2020","doi":"10.1109/sc41405.2020","metadata_source":"pith","pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Generalized Slow Roll for Tensors","venue":"astro-ph.CO","work_id":"32348cef-09e4-43f2-b53c-d785fa1937a5","year":2014},"citing_paper":{"arxiv_id":"2606.30552","last_updated":"2026-07-01T17:07:04Z","snapshot_observed_at":"2026-07-07T00:04:25.385438Z","submitted_at":"2026-06-29T16:48:48Z","title":"Training Vision-Language-Action Models with Dense Embodied Chain-of-Thought Supervision","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-07-11T11:50:26.030339Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2606.30552"},"observation_digest":"sha256:8717cf66dbec9f213c952c2980665c1e941d3b802179a107e7bab3de759480aa","observation_id":"d4ac115f-8d87-4f5c-af39-4db942e2ec01","resolution":{"observed_at":"2026-06-30T05:14:18.061478Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":"1405.2020","doi":"10.1109/sc41405.2020","metadata_source":"pith","pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Generalized Slow Roll for Tensors","venue":"astro-ph.CO","work_id":"32348cef-09e4-43f2-b53c-d785fa1937a5","year":2014},"citing_paper":{"arxiv_id":"2606.30552","last_updated":"2026-07-01T17:07:04Z","snapshot_observed_at":"2026-07-07T00:04:25.385438Z","submitted_at":"2026-06-29T16:48:48Z","title":"Training Vision-Language-Action Models with Dense Embodied Chain-of-Thought Supervision","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-07-11T11:50:26.030339Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2606.30552"},"observation_digest":"sha256:b16721f7e0d9655cec3d92600a442f98be1514c4db738671b252cf882b68a768","observation_id":"ddeb7a2b-f6ca-4a45-be3a-036140b1be60","resolution":{"observed_at":"2026-07-02T20:37:22.144091Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-07-12T11:05:56.233115Z","title":"Zero: Memory optimizations toward training trillion parameter models","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.02558","last_updated":"2026-06-28T02:30:44Z","snapshot_observed_at":"2026-08-01T21:25:05.137068Z","submitted_at":"2026-06-28T02:30:44Z","title":"MLSYSIM: First-Principles Infrastructure Modeling for Machine Learning Systems","version":1},"reference_index":120,"source":"arxiv_source","source_observed_at":"2026-07-12T11:05:56.233115Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2607.02558"},"observation_digest":"sha256:e8ede1be64a1da3287a6c4bad510ef8a657c188d89eeaa1d13184880c0409018","observation_id":"5b063496-79f3-4be8-b37c-028c671c3e10","resolution":{"observed_at":"2026-07-12T11:05:56.233115Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-07-11T11:14:58.198421Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.04935","last_updated":"2026-07-06T11:06:26Z","snapshot_observed_at":"2026-07-11T11:14:57.809812Z","submitted_at":"2026-07-06T11:06:26Z","title":"TARE: Tail Aware Evaluation of HPC Job Runtime Prediction","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-07-11T11:14:58.198421Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2607.04935"},"observation_digest":"sha256:8dce62064150660d0182209d27860d46069e9af37c5df670b9d6dde3f3f0f399","observation_id":"65a81ce0-542c-4603-9102-2f4536af161b","resolution":{"observed_at":"2026-07-11T11:14:58.198421Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-07-11T10:05:33.200630Z","title":"Pushing the","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.05015","last_updated":"2026-07-06T12:56:52Z","snapshot_observed_at":"2026-07-11T10:05:28.766197Z","submitted_at":"2026-07-06T12:56:52Z","title":"dpti: An Automated Thermodynamic Integration Workflow for Phase Diagram Calculations with Machine Learning Interatomic Potentials","version":1},"reference_index":107,"source":"arxiv_source","source_observed_at":"2026-07-11T10:05:33.200630Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2607.05015"},"observation_digest":"sha256:ec28d4936a8218ed2c705ea2cf7bd5d3f502d0c9c53202194e1bf06cdbe0b678","observation_id":"8f5a09d1-f936-402d-ad7e-22fa33c7fff5","resolution":{"observed_at":"2026-07-11T10:05:33.200630Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":"1405.2020","doi":"10.1109/sc41405.2020","metadata_source":"pith","pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Generalized Slow Roll for Tensors","venue":"astro-ph.CO","work_id":"32348cef-09e4-43f2-b53c-d785fa1937a5","year":2014},"citing_paper":{"arxiv_id":"2607.06225","last_updated":"2026-07-07T12:49:50Z","snapshot_observed_at":"2026-08-03T02:26:07.196665Z","submitted_at":"2026-07-07T12:49:50Z","title":"Compiling Bioinformatics Recurrences","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-11T11:50:26.030339Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2607.06225"},"observation_digest":"sha256:68909f9c5a28cbe0f6eb777f467fa8bec77cbebb5b0b4f1ecc870f9965adffb4","observation_id":"4805ab82-d045-4ed3-b7b8-e225c175105b","resolution":{"observed_at":"2026-07-08T12:54:52.669845Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T13:50:02.178338+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-07-14T06:49:04.349040Z","title":"InInternational Conference for High Performance Comput- ing, Networking, Storage and Analysis","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.11136","last_updated":"2026-07-13T06:12:41Z","snapshot_observed_at":"2026-08-02T20:44:01.311010Z","submitted_at":"2026-07-13T06:12:41Z","title":"Xema: Efficient Diffusion Serving through Fine-Grained Memory Management and Auto-Configuration","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-07-14T06:49:04.349040Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2607.11136"},"observation_digest":"sha256:e1d2fc6dc4c6a1512e3fe883cdfd5a82f1c766b5c3e88fc58acc93d4ba034160","observation_id":"2a35cd99-44c7-45cf-8fda-d2b5f8895139","resolution":{"observed_at":"2026-07-14T06:49:04.349040Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-02T05:57:50.618203Z","title":"In: SC20: International Conference for High Performance Computing, Networking, Storage and Analysis, pp","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.13204","last_updated":"2026-07-14T18:54:08Z","snapshot_observed_at":"2026-08-02T22:48:54.822631Z","submitted_at":"2026-07-14T18:54:08Z","title":"Efficient Computing for Medical Image Acquisition and Reconstruction","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-02T05:57:50.618203Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2607.13204"},"observation_digest":"sha256:7466354cc608e4dd1fd14ff60c63d4b0788bf6dc913fcf9f20020e6d36606fed","observation_id":"989b4efd-6a2b-4dd7-a0df-e453cf472124","resolution":{"observed_at":"2026-08-02T05:57:50.618203Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-02T05:32:07.228701Z","title":"McMahon, Duncan Roweth, and Torsten Hoefler","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.13351","last_updated":"2026-07-15T00:23:18Z","snapshot_observed_at":"2026-08-06T17:36:00.304470Z","submitted_at":"2026-07-15T00:23:18Z","title":"StreamingQEC: Streaming Quantum Error Correction in Tightly Integrated Quantum-Classical Systems via Certified Recurrence","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-02T05:32:07.228701Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2607.13351"},"observation_digest":"sha256:37374b9f090300c6bdaec52b2316eb28f67c9131f5090f4848f999e02f4ddc60","observation_id":"459ee5a5-3320-455d-a5d6-5095742f22c1","resolution":{"observed_at":"2026-08-02T05:32:07.228701Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-01T14:51:06.964890Z","title":"Fast stencil-code computation on a wafer-scale processor,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.18650","last_updated":"2026-07-21T02:42:45Z","snapshot_observed_at":"2026-08-01T14:51:05.255919Z","submitted_at":"2026-07-21T02:42:45Z","title":"Unstructured Hydrodynamics on Spatial Dataflow Architectures: A Joint Code and Data Decomposition Approach","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-01T14:51:06.964890Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2607.18650"},"observation_digest":"sha256:072062048e7782f4ff7dc3da8c4c2ce33081dd6c711bec8144a4dea46b6300a3","observation_id":"c3097c00-37a1-44a9-9ee2-28837e4fa7f3","resolution":{"observed_at":"2026-08-01T14:51:06.964890Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-01T14:36:35.398432Z","title":"SC20: International Conference for High Performance Computing, Networking, Storage and Analysis , pages =","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.18730","last_updated":"2026-07-21T05:42:55Z","snapshot_observed_at":"2026-08-02T19:31:53.713270Z","submitted_at":"2026-07-21T05:42:55Z","title":"Dual Attention Residuals","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-01T14:36:35.398432Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2607.18730"},"observation_digest":"sha256:ed107d7f00ca724361a2f03296afa4da425182fe517f9e8ef98ca17fbfb0d3dc","observation_id":"fc98803c-0da4-4f6f-bddc-47109ac87db2","resolution":{"observed_at":"2026-08-01T14:36:35.398432Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-01T10:52:26.209616Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.27270","last_updated":"2026-07-29T11:18:30Z","snapshot_observed_at":"2026-08-06T06:06:23.441134Z","submitted_at":"2026-07-29T11:18:30Z","title":"BMOA: Baseline-Mechanism-Outcome Attribution for Compiler-Induced Numerical Deviations","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-01T10:52:26.209616Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2607.27270"},"observation_digest":"sha256:321cebc644d8b8923524137c30da54865998053b518188f1f4e1074a0035ce76","observation_id":"604823e6-57c9-430f-b3bf-5dc52bf27d81","resolution":{"observed_at":"2026-08-01T10:52:26.209616Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-06T00:39:47.846430Z","title":"InSC20: International Conference for High Performance Computing, Networking, Storage and Analysis","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.00977","last_updated":"2026-08-02T04:01:41Z","snapshot_observed_at":"2026-08-06T18:30:33.294978Z","submitted_at":"2026-08-02T04:01:41Z","title":"TIDE-MC: Two-Sided Interpolative Decomposition for Billion-Scale GPU Matrix Completion","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-06T00:39:47.846430Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2608.00977"},"observation_digest":"sha256:229785ebfab89994995844d781612e7ec1559bd963eebe7b157fb9f931938cac","observation_id":"f449b747-37bb-4173-a1a0-373723f5380e","resolution":{"observed_at":"2026-08-06T00:39:47.846430Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1405.2020","snapshot_observed_at":"2026-08-04T18:03:22.724734Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.01939","last_updated":"2026-08-03T09:13:15Z","snapshot_observed_at":"2026-08-06T18:38:08.253743Z","submitted_at":"2026-08-03T09:13:15Z","title":"Oraqle: An Empirical Analysis of Qubit Readout and Discriminators in Quantum Error Correction","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:22.724734Z"},"links":{"cited_paper":"/paper/1405.2020","citing_paper":"/paper/2608.01939"},"observation_digest":"sha256:e22732340883a1fb37fea8d8f74ee2ad98a72d99a121c3ae8b2eb5fd020ee79d","observation_id":"4c73e90b-bbab-4a8c-806e-2df29fb281d9","resolution":{"observed_at":"2026-08-04T18:03:22.724734Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/1405.2020/citation-record","integrity":"/paper/1405.2020/integrity","json":"/paper/1405.2020/citation-record.json","paper":"/paper/1405.2020"},"outbound":[],"paper":{"arxiv_id":"1405.2020","last_updated":"2014-05-08T17:04:15Z","latest_version":1,"primary_category":"astro-ph.CO","snapshot_observed_at":"2026-08-04T16:50:32.529025Z","submitted_at":"2014-05-08T17:04:15Z","title":"Generalized Slow Roll for Tensors"},"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":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 67 inbound Pith citation observations for arXiv:1405.2020."}