{"as_of":"2026-08-08T15:26:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a85db277eb09d7b8b1d3eaccc00ff56219eca006e0a8f77e15b5c695fb1fe373","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":7,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":7,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":7,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:13:22.137707Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":0,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2401.09135","last_updated":"2024-09-23T10:49:33Z","snapshot_observed_at":"2026-07-06T17:16:47.315706Z","submitted_at":"2024-01-17T11:17:04Z","title":"Asynchronous Local-SGD Training for Language Modeling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.09135","snapshot_observed_at":"2026-08-07T13:13:22.137707Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.22549","last_updated":"2025-05-28T16:32:33Z","snapshot_observed_at":"2026-08-08T14:09:23.001763Z","submitted_at":"2025-05-28T16:32:33Z","title":"DES-LOC: Desynced Low Communication Adaptive Optimizers for Training Foundation Models","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:22.137707Z"},"links":{"cited_paper":"/paper/2401.09135","citing_paper":"/paper/2505.22549"},"observation_digest":"sha256:e1bd6a01ab8eb861e549fa24ae086cc6269a77c1858cd4152349d2e9c2f9241e","observation_id":"9070db0e-b562-4e6e-95cd-a603cefe4134","resolution":{"observed_at":"2026-08-07T13:13:22.137707Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.09135","last_updated":"2024-09-23T10:49:33Z","snapshot_observed_at":"2026-07-06T17:16:47.315706Z","submitted_at":"2024-01-17T11:17:04Z","title":"Asynchronous Local-SGD Training for Language Modeling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.09135","snapshot_observed_at":"2026-08-07T10:46:06.545546Z","title":"A., Shen, J., Szlam, A., and Ranzato, M","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.04531","last_updated":"2025-06-05T00:48:55Z","snapshot_observed_at":"2026-08-07T10:37:29.647793Z","submitted_at":"2025-06-05T00:48:55Z","title":"HALoS: Hierarchical Asynchronous Local SGD over Slow Networks for Geo-Distributed Large Language Model Training","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-07T10:46:06.545546Z"},"links":{"cited_paper":"/paper/2401.09135","citing_paper":"/paper/2506.04531"},"observation_digest":"sha256:d3fe095d4cdf0913c22eb6581295fad94135d7a30af7d3a4b2eed8250c8b7c01","observation_id":"44a85517-bbc4-4de7-9cac-fd334735de04","resolution":{"observed_at":"2026-08-07T10:46:06.545546Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.09135","last_updated":"2024-09-23T10:49:33Z","snapshot_observed_at":"2026-07-06T17:16:47.315706Z","submitted_at":"2024-01-17T11:17:04Z","title":"Asynchronous Local-SGD Training for Language Modeling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.09135","snapshot_observed_at":"2026-08-06T19:21:36.437577Z","title":"Asynchronous local- sgd training for language modeling","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.05876","last_updated":"2026-07-18T10:42:52Z","snapshot_observed_at":"2026-08-06T19:13:57.493533Z","submitted_at":"2025-07-08T10:59:56Z","title":"Shesha: Opportunistic In-network Acceleration of Asynchronous Distributed Reinforcement Learning","version":3},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T19:21:36.437577Z"},"links":{"cited_paper":"/paper/2401.09135","citing_paper":"/paper/2507.05876"},"observation_digest":"sha256:f2884fd63850544fffb03cfe7e57adc438862065afdb1a84d036180587d1badb","observation_id":"2d95afe8-f787-4e76-b2c3-bdbca67586d8","resolution":{"observed_at":"2026-08-06T19:21:36.437577Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.09135","last_updated":"2024-09-23T10:49:33Z","snapshot_observed_at":"2026-07-06T17:16:47.315706Z","submitted_at":"2024-01-17T11:17:04Z","title":"Asynchronous Local-SGD Training for Language Modeling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.09135","snapshot_observed_at":"2026-08-06T18:37:46.984158Z","title":"A., Shen, J., Szlam, A., and Ranzato, M","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.07765","last_updated":"2025-07-10T13:43:15Z","snapshot_observed_at":"2026-08-07T22:00:37.033332Z","submitted_at":"2025-07-10T13:43:15Z","title":"Distributed and Decentralised Training: Technical Governance Challenges in a Shifting AI Landscape","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-06T18:37:46.984158Z"},"links":{"cited_paper":"/paper/2401.09135","citing_paper":"/paper/2507.07765"},"observation_digest":"sha256:beb7fbc8b02a950c3925e3b3983552198e33d10e797f9cc33f33305bf83d2c28","observation_id":"26b6731e-bf79-4519-b076-eef2c4a56e27","resolution":{"observed_at":"2026-08-06T18:37:46.984158Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.09135","last_updated":"2024-09-23T10:49:33Z","snapshot_observed_at":"2026-07-06T17:16:47.315706Z","submitted_at":"2024-01-17T11:17:04Z","title":"Asynchronous Local-SGD Training for Language Modeling","version":2},"cited_work":{"arxiv_id":"2401.09135","doi":"10.48550/arxiv.2401.09135","metadata_source":"arxiv_reference","pith_arxiv_id":"2401.09135","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"and Shen, Jiajun and Szlam, Arthur and Ranzato, Marc'Aurelio , month = sep, year =","venue":"arXiv (Cornell University)","work_id":"ad0d8abf-7715-4d4b-8820-43397e947139","year":2024},"citing_paper":{"arxiv_id":"2605.09126","last_updated":"2026-05-09T19:16:29Z","snapshot_observed_at":"2026-08-04T17:08:40.060316Z","submitted_at":"2026-05-09T19:16:29Z","title":"Cosine-Gated Adam-Decay: Drop-In Staleness-Aware Outer Optimization for Decoupled DiLoCo","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-12T02:30:11.470788Z"},"links":{"cited_paper":"/paper/2401.09135","citing_paper":"/paper/2605.09126"},"observation_digest":"sha256:d32da621c9505464368d3373e47b1f52bc9778b44cfc66e75a89526106198839","observation_id":"f5f99894-3416-4475-ae8b-ab0eabe3644c","resolution":{"observed_at":"2026-05-12T02:31:16.894753Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.09135","last_updated":"2024-09-23T10:49:33Z","snapshot_observed_at":"2026-07-06T17:16:47.315706Z","submitted_at":"2024-01-17T11:17:04Z","title":"Asynchronous Local-SGD Training for Language Modeling","version":2},"cited_work":{"arxiv_id":"2401.09135","doi":"10.48550/arxiv.2401.09135","metadata_source":"arxiv_reference","pith_arxiv_id":"2401.09135","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"and Shen, Jiajun and Szlam, Arthur and Ranzato, Marc'Aurelio , month = sep, year =","venue":"arXiv (Cornell University)","work_id":"ad0d8abf-7715-4d4b-8820-43397e947139","year":2024},"citing_paper":{"arxiv_id":"2605.13434","last_updated":"2026-05-13T12:27:22Z","snapshot_observed_at":"2026-07-06T23:25:01.951546Z","submitted_at":"2026-05-13T12:27:22Z","title":"Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity","version":1},"reference_index":117,"source":"arxiv_source","source_observed_at":"2026-05-14T19:31:12.149482Z"},"links":{"cited_paper":"/paper/2401.09135","citing_paper":"/paper/2605.13434"},"observation_digest":"sha256:20e3322fd90dcbc13d3d119b3114837372b9ebac300c0e55d05b812bc1566ede","observation_id":"35f69d0a-dc76-4344-9178-b723970d7335","resolution":{"observed_at":"2026-05-14T19:32:51.408623Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.09135","last_updated":"2024-09-23T10:49:33Z","snapshot_observed_at":"2026-07-06T17:16:47.315706Z","submitted_at":"2024-01-17T11:17:04Z","title":"Asynchronous Local-SGD Training for Language Modeling","version":2},"cited_work":{"arxiv_id":"2401.09135","doi":"10.48550/arxiv.2401.09135","metadata_source":"arxiv_reference","pith_arxiv_id":"2401.09135","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"and Shen, Jiajun and Szlam, Arthur and Ranzato, Marc'Aurelio , month = sep, year =","venue":"arXiv (Cornell University)","work_id":"ad0d8abf-7715-4d4b-8820-43397e947139","year":2024},"citing_paper":{"arxiv_id":"2606.00271","last_updated":"2026-05-29T19:02:10Z","snapshot_observed_at":"2026-08-06T23:05:44.963983Z","submitted_at":"2026-05-29T19:02:10Z","title":"HeLoCo: Efficient asynchronous low-communication training under data and device heterogeneity","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-06-28T20:45:29.941331Z"},"links":{"cited_paper":"/paper/2401.09135","citing_paper":"/paper/2606.00271"},"observation_digest":"sha256:737755e57591ae8b0a4598f122d0a70f6150387d0ddb38d8a5efe988ae1882e7","observation_id":"baed13b0-faf6-4fca-bee1-434e6c5c3d42","resolution":{"observed_at":"2026-06-28T20:52:37.880200Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2401.09135/citation-record","integrity":"/paper/2401.09135/integrity","json":"/paper/2401.09135/citation-record.json","paper":"/paper/2401.09135"},"outbound":[],"paper":{"arxiv_id":"2401.09135","last_updated":"2024-09-23T10:49:33Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T17:16:47.315706Z","submitted_at":"2024-01-17T11:17:04Z","title":"Asynchronous Local-SGD Training for Language Modeling"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2401.09135."}