{"as_of":"2026-08-08T00:45:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ce59e7e43f396a7284a1d3dbc333298d7696ee1e7adefe0bee6f6174f96d0c68","coverage":[{"denominator":51,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":51,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T18:19:59.477299Z","state":"measured"},{"denominator":51,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":51,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2507.09029/citation-record","integrity":"/paper/2507.09029/integrity","json":"/paper/2507.09029/citation-record.json","paper":"/paper/2507.09029"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:20:00.113922Z","title":null,"venue":null,"work_id":"6a821d70-0f5b-400c-ac01-fd27f79df6e7","year":2023},"citing_paper":{"arxiv_id":"2507.09029","last_updated":"2026-05-31T02:40:58Z","snapshot_observed_at":"2026-08-06T18:03:36.091427Z","submitted_at":"2025-07-11T21:25:11Z","title":"Model Parallelism With Subnetwork Data Parallelism","version":5},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T18:19:59.301222Z"},"links":{"citing_paper":"/paper/2507.09029"},"observation_digest":"sha256:a251173546e42611452ca2ddd81cc44ef9f3e7cdd352603827582b21cf99e6ca","observation_id":"96d341f8-fb75-4a09-bae8-0aff346c5156","resolution":{"observed_at":"2026-08-06T18:20:00.117581Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:20:00.100012Z","title":null,"venue":null,"work_id":"de246898-e6dd-442d-b840-ff6235d8b399","year":2022},"citing_paper":{"arxiv_id":"2507.09029","last_updated":"2026-05-31T02:40:58Z","snapshot_observed_at":"2026-08-06T18:03:36.091427Z","submitted_at":"2025-07-11T21:25:11Z","title":"Model Parallelism With Subnetwork Data Parallelism","version":5},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T18:19:59.304760Z"},"links":{"citing_paper":"/paper/2507.09029"},"observation_digest":"sha256:42032b020e0eb7e43c8e0dc0db2ac1d8b858fb4f23c1dcfad631d3a73b7cbebe","observation_id":"44ce92bd-3f3b-4c9c-ad08-0ac6e6428e16","resolution":{"observed_at":"2026-08-06T18:20:00.103806Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:20:00.089954Z","title":"Belilovsky, M","venue":null,"work_id":"ee6d87b7-8044-411d-bc6e-0201b11928b4","year":2020},"citing_paper":{"arxiv_id":"2507.09029","last_updated":"2026-05-31T02:40:58Z","snapshot_observed_at":"2026-08-06T18:03:36.091427Z","submitted_at":"2025-07-11T21:25:11Z","title":"Model Parallelism With Subnetwork Data Parallelism","version":5},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T18:19:59.311768Z"},"links":{"citing_paper":"/paper/2507.09029"},"observation_digest":"sha256:03d9a0e1cc76b4f7c4e6f36d5c363202b93f1d8f30b116edde092892392892b4","observation_id":"79317136-ae80-492d-bbeb-590e07666e32","resolution":{"observed_at":"2026-08-06T18:20:00.094061Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2108.07258","last_updated":"2022-07-12T23:45:14Z","snapshot_observed_at":"2026-08-02T09:20:40.804790Z","submitted_at":"2021-08-16T17:50:08Z","title":"On the Opportunities and Risks of Foundation Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.07258","snapshot_observed_at":"2026-08-06T18:19:59.317698Z","title":"Bommasani, D","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.09029","last_updated":"2026-05-31T02:40:58Z","snapshot_observed_at":"2026-08-06T18:03:36.091427Z","submitted_at":"2025-07-11T21:25:11Z","title":"Model Parallelism With Subnetwork Data Parallelism","version":5},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T18:19:59.317698Z"},"links":{"cited_paper":"/paper/2108.07258","citing_paper":"/paper/2507.09029"},"observation_digest":"sha256:3c4990b5733e8045a0542cb51981deb73f5390a2f8e9ef4d5a5cca17d85e1cd4","observation_id":"2acd0a32-6361-4d44-9510-93f285ce3134","resolution":{"observed_at":"2026-08-06T18:19:59.317698Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:20:00.068423Z","title":null,"venue":null,"work_id":"d5a99e3e-a84f-42a8-aef4-ba15f423b5fc","year":2010},"citing_paper":{"arxiv_id":"2507.09029","last_updated":"2026-05-31T02:40:58Z","snapshot_observed_at":"2026-08-06T18:03:36.091427Z","submitted_at":"2025-07-11T21:25:11Z","title":"Model Parallelism With Subnetwork Data Parallelism","version":5},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T18:19:59.320921Z"},"links":{"citing_paper":"/paper/2507.09029"},"observation_digest":"sha256:4453ec8d1c3f89b342285de4bdc80b25ee258d4c5d8e7f9d7b2da973f1613195","observation_id":"ef8ee014-c5d1-4fc2-b282-049fa69fafb1","resolution":{"observed_at":"2026-08-06T18:20:00.074281Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1812.07210","last_updated":"2019-01-08T16:01:46Z","snapshot_observed_at":"2026-08-07T23:08:05.957777Z","submitted_at":"2018-12-18T07:31:18Z","title":"Expanding the Reach of Federated Learning by Reducing Client Resource Requirements","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1812.07210","snapshot_observed_at":"2026-08-06T18:19:59.323818Z","title":"Caldas, J","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.09029","last_updated":"2026-05-31T02:40:58Z","snapshot_observed_at":"2026-08-06T18:03:36.091427Z","submitted_at":"2025-07-11T21:25:11Z","title":"Model Parallelism With Subnetwork Data Parallelism","version":5},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T18:19:59.323818Z"},"links":{"cited_paper":"/paper/1812.07210","citing_paper":"/paper/2507.09029"},"observation_digest":"sha256:be1871889bfc402a09f6fc587329a4d5d041285c78c2a85d907f9d960c6f8f97","observation_id":"21798349-bf1b-4917-a01b-103656fc1764","resolution":{"observed_at":"2026-08-06T18:19:59.323818Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.06905","last_updated":"2025-06-12T01:40:08Z","snapshot_observed_at":"2026-07-06T20:34:15.946558Z","submitted_at":"2025-02-10T01:18:40Z","title":"Lightweight Dataset Pruning without Full Training via Example Difficulty and Prediction Uncertainty","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.06905","snapshot_observed_at":"2026-08-06T18:19:59.327333Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.09029","last_updated":"2026-05-31T02:40:58Z","snapshot_observed_at":"2026-08-06T18:03:36.091427Z","submitted_at":"2025-07-11T21:25:11Z","title":"Model Parallelism With Subnetwork Data Parallelism","version":5},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T18:19:59.327333Z"},"links":{"cited_paper":"/paper/2502.06905","citing_paper":"/paper/2507.09029"},"observation_digest":"sha256:55b901035077f1d93c070a31479a5c7f58f41b0dcad6929e6e5926b6acfef316","observation_id":"81cccf8e-54b2-4c00-8a7e-ee6f9d0e58aa","resolution":{"observed_at":"2026-08-06T18:19:59.327333Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:20:00.041521Z","title":null,"venue":null,"work_id":"97c3d475-7a44-420d-bf81-b6b8d1412230","year":2021},"citing_paper":{"arxiv_id":"2507.09029","last_updated":"2026-05-31T02:40:58Z","snapshot_observed_at":"2026-08-06T18:03:36.091427Z","submitted_at":"2025-07-11T21:25:11Z","title":"Model Parallelism With Subnetwork Data Parallelism","version":5},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T18:19:59.330641Z"},"links":{"citing_paper":"/paper/2507.09029"},"observation_digest":"sha256:21051fa001927d6043bbd57fb733bef5702d3f12ef8114fc4e9fa506f807acd1","observation_id":"11b31aee-f5cb-4701-b06a-235f0116a9cc","resolution":{"observed_at":"2026-08-06T18:20:00.053719Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.08105","last_updated":"2024-09-23T10:41:27Z","snapshot_observed_at":"2026-08-04T10:53:01.395272Z","submitted_at":"2023-11-14T12:05:45Z","title":"DiLoCo: Distributed Low-Communication Training of Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.08105","snapshot_observed_at":"2026-08-06T18:19:59.333518Z","title":"Douillard, Q","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.09029","last_updated":"2026-05-31T02:40:58Z","snapshot_observed_at":"2026-08-06T18:03:36.091427Z","submitted_at":"2025-07-11T21:25:11Z","title":"Model Parallelism With Subnetwork Data Parallelism","version":5},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T18:19:59.333518Z"},"links":{"cited_paper":"/paper/2311.08105","citing_paper":"/paper/2507.09029"},"observation_digest":"sha256:6f01bd8e8674694c1050693d454ead5c2c61d6c81ff53951ece5f865a06af40c","observation_id":"ee585c18-0e62-4758-9dbe-f2062d9917bb","resolution":{"observed_at":"2026-08-06T18:19:59.333518Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:20:00.008863Z","title":"Douillard, Y","venue":null,"work_id":"4e3549fe-f2c4-45d2-85c9-f1c40f23303c","year":2025},"citing_paper":{"arxiv_id":"2507.09029","last_updated":"2026-05-31T02:40:58Z","snapshot_observed_at":"2026-08-06T18:03:36.091427Z","submitted_at":"2025-07-11T21:25:11Z","title":"Model Parallelism With Subnetwork Data Parallelism","version":5},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T18:19:59.336299Z"},"links":{"citing_paper":"/paper/2507.09029"},"observation_digest":"sha256:dc1943d056bc2d5cff618ac6bf9b352a19664bf1acb6ed0cd6e03a82ca069f52","observation_id":"7fd8aa8c-6d0c-4cd4-a860-7af903739514","resolution":{"observed_at":"2026-08-06T18:20:00.035070Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.17086","last_updated":"2025-03-29T14:22:35Z","snapshot_observed_at":"2026-08-06T22:27:26.417747Z","submitted_at":"2025-01-28T17:14:42Z","title":"Accelerated Training through Iterative Gradient Propagation Along the Residual Path","version":2},"cited_work":{"arxiv_id":"2501.17086","doi":null,"metadata_source":"pith","pith_arxiv_id":"2501.17086","snapshot_observed_at":"2026-08-06T18:19:59.640720Z","title":"Accelerated Training through Iterative Gradient Propagation Along the Residual Path","venue":"cs.LG","work_id":"22c99609-607b-4766-b59d-a8970c4c8c3f","year":2025},"citing_paper":{"arxiv_id":"2507.09029","last_updated":"2026-05-31T02:40:58Z","snapshot_observed_at":"2026-08-06T18:03:36.091427Z","submitted_at":"2025-07-11T21:25:11Z","title":"Model Parallelism With Subnetwork Data Parallelism","version":5},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T18:19:59.339014Z"},"links":{"cited_paper":"/paper/2501.17086","citing_paper":"/paper/2507.09029"},"observation_digest":"sha256:4a4028423f4ccdfe1a93beaa9e1d401a00c25c591362f2d25ecc9cf162c36eac","observation_id":"328899c5-cee9-4d6a-b2eb-36dd84f7aa63","resolution":{"observed_at":"2026-08-06T18:19:59.646511Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.17517","last_updated":"2024-05-27T09:02:57Z","snapshot_observed_at":"2026-08-06T23:48:10.947298Z","submitted_at":"2024-05-27T09:02:57Z","title":"WASH: Train your Ensemble with Communication-Efficient Weight Shuffling, then Average","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.17517","snapshot_observed_at":"2026-08-06T18:19:59.342159Z","title":"Fournier, A","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.09029","last_updated":"2026-05-31T02:40:58Z","snapshot_observed_at":"2026-08-06T18:03:36.091427Z","submitted_at":"2025-07-11T21:25:11Z","title":"Model Parallelism With Subnetwork Data Parallelism","version":5},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T18:19:59.342159Z"},"links":{"cited_paper":"/paper/2405.17517","citing_paper":"/paper/2507.09029"},"observation_digest":"sha256:324dc2f794ccafa4edb63aaf3849193e3e6323e5092bab746a6958b219465c22","observation_id":"16000189-c95c-454e-81b6-4aad710f4dac","resolution":{"observed_at":"2026-08-06T18:19:59.342159Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:19:59.984529Z","title":null,"venue":null,"work_id":"9c2bab96-c680-4cc6-994e-e3672ec1bebc","year":2021},"citing_paper":{"arxiv_id":"2507.09029","last_updated":"2026-05-31T02:40:58Z","snapshot_observed_at":"2026-08-06T18:03:36.091427Z","submitted_at":"2025-07-11T21:25:11Z","title":"Model Parallelism With Subnetwork Data Parallelism","version":5},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T18:19:59.345219Z"},"links":{"citing_paper":"/paper/2507.09029"},"observation_digest":"sha256:1b0a22fe302ba853d88b323b9b126234f8bb462e0f98cd40d24a6fd4ec2bb614","observation_id":"c5dcc05a-97e5-43be-a252-8b5783b4d4f6","resolution":{"observed_at":"2026-08-06T18:19:59.988220Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1706.02677","last_updated":"2018-04-30T21:53:41Z","snapshot_observed_at":"2026-07-06T05:46:07.424788Z","submitted_at":"2017-06-08T16:51:53Z","title":"Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1706.02677","snapshot_observed_at":"2026-08-06T18:19:59.347948Z","title":"Goyal, P","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.09029","last_updated":"2026-05-31T02:40:58Z","snapshot_observed_at":"2026-08-06T18:03:36.091427Z","submitted_at":"2025-07-11T21:25:11Z","title":"Model Parallelism With Subnetwork Data Parallelism","version":5},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T18:19:59.347948Z"},"links":{"cited_paper":"/paper/1706.02677","citing_paper":"/paper/2507.09029"},"observation_digest":"sha256:dba3fd57ed011bc65d720bae4a45779356d5147bd71482540e6ac20216359bd5","observation_id":"c6dd97e0-e55a-40c4-bffb-f0d1c6ba78f4","resolution":{"observed_at":"2026-08-06T18:19:59.347948Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.21783","last_updated":"2024-11-23T23:27:33Z","snapshot_observed_at":"2026-07-06T18:55:11.576666Z","submitted_at":"2024-07-31T17:54:27Z","title":"The Llama 3 Herd of Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.21783","snapshot_observed_at":"2026-08-06T18:19:59.350784Z","title":"Grattafiori, A","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.09029","last_updated":"2026-05-31T02:40:58Z","snapshot_observed_at":"2026-08-06T18:03:36.091427Z","submitted_at":"2025-07-11T21:25:11Z","title":"Model Parallelism With Subnetwork Data Parallelism","version":5},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T18:19:59.350784Z"},"links":{"cited_paper":"/paper/2407.21783","citing_paper":"/paper/2507.09029"},"observation_digest":"sha256:bb65720407dacc4bda70a283ab0a2a920c92472563ff1c2757164333e98d3dfb","observation_id":"0513821b-c8ea-4444-ac2b-3aeb6afa371e","resolution":{"observed_at":"2026-08-06T18:19:59.350784Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:19:59.973460Z","title":"Guliani, L","venue":null,"work_id":"51d04d34-803b-4e3e-b780-1999550120fa","year":2022},"citing_paper":{"arxiv_id":"2507.09029","last_updated":"2026-05-31T02:40:58Z","snapshot_observed_at":"2026-08-06T18:03:36.091427Z","submitted_at":"2025-07-11T21:25:11Z","title":"Model Parallelism With Subnetwork Data Parallelism","version":5},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T18:19:59.354832Z"},"links":{"citing_paper":"/paper/2507.09029"},"observation_digest":"sha256:0c636366f12d277d1307d1a0e0b6b39a4af247dc16d1d60e9a8b895ccbccebc6","observation_id":"f42de496-2b28-4fec-b95c-1c51d17cfb68","resolution":{"observed_at":"2026-08-06T18:19:59.977474Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:19:59.962211Z","title":null,"venue":null,"work_id":"512ced11-7fd7-4a54-857a-4001ed099b87","year":2015},"citing_paper":{"arxiv_id":"2507.09029","last_updated":"2026-05-31T02:40:58Z","snapshot_observed_at":"2026-08-06T18:03:36.091427Z","submitted_at":"2025-07-11T21:25:11Z","title":"Model Parallelism With Subnetwork Data Parallelism","version":5},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T18:19:59.357758Z"},"links":{"citing_paper":"/paper/2507.09029"},"observation_digest":"sha256:e8dced1c8e4549a93ca9d19d04bc93a922852e1172bf85b6729ad8052dc2deca","observation_id":"f4533c88-e7ea-43a9-9a83-53f43dfa9d50","resolution":{"observed_at":"2026-08-06T18:19:59.965971Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:19:59.360548Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2507.09029","last_updated":"2026-05-31T02:40:58Z","snapshot_observed_at":"2026-08-06T18:03:36.091427Z","submitted_at":"2025-07-11T21:25:11Z","title":"Model Parallelism With Subnetwork Data Parallelism","version":5},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T18:19:59.360548Z"},"links":{"citing_paper":"/paper/2507.09029"},"observation_digest":"sha256:93dbc2c7582750ccc5597c4fd32e0806e66feddac19d92b12bbd9639a508a1c1","observation_id":"eebeaa56-91e9-4de3-b382-83edf5e5a2eb","resolution":{"observed_at":"2026-08-06T18:19:59.360548Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2203.15556","last_updated":"2022-03-29T13:38:03Z","snapshot_observed_at":"2026-07-06T12:54:11.616335Z","submitted_at":"2022-03-29T13:38:03Z","title":"Training Compute-Optimal Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.15556","snapshot_observed_at":"2026-08-06T18:19:59.363164Z","title":"Hoffmann, S","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.09029","last_updated":"2026-05-31T02:40:58Z","snapshot_observed_at":"2026-08-06T18:03:36.091427Z","submitted_at":"2025-07-11T21:25:11Z","title":"Model Parallelism With Subnetwork Data Parallelism","version":5},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T18:19:59.363164Z"},"links":{"cited_paper":"/paper/2203.15556","citing_paper":"/paper/2507.09029"},"observation_digest":"sha256:cb09fe0cbd13ed943d5526f0a0dfe490590d2e5c49f4ffcfdbdd56da40a29ee7","observation_id":"94410c7f-31fe-445a-bb1d-b52907edf307","resolution":{"observed_at":"2026-08-06T18:19:59.363164Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:19:59.946309Z","title":"Horvath, S","venue":null,"work_id":"c3b1a3d2-bcb2-43c5-9f01-1a7d1debd267","year":2021},"citing_paper":{"arxiv_id":"2507.09029","last_updated":"2026-05-31T02:40:58Z","snapshot_observed_at":"2026-08-06T18:03:36.091427Z","submitted_at":"2025-07-11T21:25:11Z","title":"Model Parallelism With Subnetwork Data Parallelism","version":5},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T18:19:59.366348Z"},"links":{"citing_paper":"/paper/2507.09029"},"observation_digest":"sha256:f03affc8b16e3702f399bcbbbd257ebe39c7b11993c15373fdc40cbc69363f98","observation_id":"0b98e71e-1037-47b5-b0fa-adf46be6519f","resolution":{"observed_at":"2026-08-06T18:19:59.951015Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:19:59.930045Z","title":"Huang, Y","venue":null,"work_id":"d592afd2-aa6f-4ee0-91bf-c4238b63fe56","year":2016},"citing_paper":{"arxiv_id":"2507.09029","last_updated":"2026-05-31T02:40:58Z","snapshot_observed_at":"2026-08-06T18:03:36.091427Z","submitted_at":"2025-07-11T21:25:11Z","title":"Model Parallelism With Subnetwork Data Parallelism","version":5},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T18:19:59.369247Z"},"links":{"citing_paper":"/paper/2507.09029"},"observation_digest":"sha256:af2799f23f335389a552b2444153a66e3e88e78d15e4095318165f6b0f7a0109","observation_id":"058ebee9-32d8-4b81-947c-b557f7a51253","resolution":{"observed_at":"2026-08-06T18:19:59.934371Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:19:59.908823Z","title":"Huang, Y","venue":null,"work_id":"806d89e8-a908-4d88-ab67-8ba7462ca3db","year":2019},"citing_paper":{"arxiv_id":"2507.09029","last_updated":"2026-05-31T02:40:58Z","snapshot_observed_at":"2026-08-06T18:03:36.091427Z","submitted_at":"2025-07-11T21:25:11Z","title":"Model Parallelism With Subnetwork Data Parallelism","version":5},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T18:19:59.371810Z"},"links":{"citing_paper":"/paper/2507.09029"},"observation_digest":"sha256:f74667404666cb819250d608c72087ab07a77d16150f1b0a26a54da5c63fe8a5","observation_id":"cfb883be-f361-4dee-ba26-5c1f88f832c5","resolution":{"observed_at":"2026-08-06T18:19:59.913706Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.03094","last_updated":"2024-05-06T14:32:35Z","snapshot_observed_at":"2026-08-06T05:06:28.877535Z","submitted_at":"2023-04-06T14:22:02Z","title":"PopulAtion Parameter Averaging (PAPA)","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.03094","snapshot_observed_at":"2026-08-06T18:19:59.375409Z","title":"Jolicoeur-Martineau, E","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.09029","last_updated":"2026-05-31T02:40:58Z","snapshot_observed_at":"2026-08-06T18:03:36.091427Z","submitted_at":"2025-07-11T21:25:11Z","title":"Model Parallelism With Subnetwork Data Parallelism","version":5},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T18:19:59.375409Z"},"links":{"cited_paper":"/paper/2304.03094","citing_paper":"/paper/2507.09029"},"observation_digest":"sha256:6a61a6b552332b8c3b3cc43c2c2809941ab64a60581d6527e1ba40af93d93cde","observation_id":"43801ba1-2e76-4f10-a371-6b1b789e1ce6","resolution":{"observed_at":"2026-08-06T18:19:59.375409Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.02643","last_updated":"2023-04-05T17:59:46Z","snapshot_observed_at":"2026-07-06T15:12:37.953383Z","submitted_at":"2023-04-05T17:59:46Z","title":"Segment Anything","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.02643","snapshot_observed_at":"2026-08-06T18:19:59.378800Z","title":"Kirillov, E","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.09029","last_updated":"2026-05-31T02:40:58Z","snapshot_observed_at":"2026-08-06T18:03:36.091427Z","submitted_at":"2025-07-11T21:25:11Z","title":"Model Parallelism With Subnetwork Data Parallelism","version":5},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T18:19:59.378800Z"},"links":{"cited_paper":"/paper/2304.02643","citing_paper":"/paper/2507.09029"},"observation_digest":"sha256:01ca58175ccc6d645fc841ed18ed575b0ab1b006b34423ec9fdb5ba03a0ebeb0","observation_id":"02c9db65-b69a-4e17-84a6-6a4eebf391a9","resolution":{"observed_at":"2026-08-06T18:19:59.378800Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1610.02527","last_updated":"2016-10-08T13:25:15Z","snapshot_observed_at":"2026-07-06T05:13:51.685562Z","submitted_at":"2016-10-08T13:25:15Z","title":"Federated Optimization: Distributed Machine Learning for On-Device Intelligence","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1610.02527","snapshot_observed_at":"2026-08-06T18:19:59.381899Z","title":"Koneˇcný et al","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2507.09029","last_updated":"2026-05-31T02:40:58Z","snapshot_observed_at":"2026-08-06T18:03:36.091427Z","submitted_at":"2025-07-11T21:25:11Z","title":"Model Parallelism With Subnetwork Data Parallelism","version":5},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T18:19:59.381899Z"},"links":{"cited_paper":"/paper/1610.02527","citing_paper":"/paper/2507.09029"},"observation_digest":"sha256:776bac9b6fa7013b29f94a70d3de3ae08e25e1128380356e50906e88ed72226e","observation_id":"d8228073-d787-446a-aa6b-eb1b4aa5e87e","resolution":{"observed_at":"2026-08-06T18:19:59.381899Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:19:59.386442Z","title":"Krizhevsky, G","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2507.09029","last_updated":"2026-05-31T02:40:58Z","snapshot_observed_at":"2026-08-06T18:03:36.091427Z","submitted_at":"2025-07-11T21:25:11Z","title":"Model Parallelism With Subnetwork Data Parallelism","version":5},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T18:19:59.386442Z"},"links":{"citing_paper":"/paper/2507.09029"},"observation_digest":"sha256:f3e0248281c241827837e190bfa252d8c7f8db341913f0095d189d1fc515d8a7","observation_id":"605d2e54-2407-4346-b6fb-46b1cd88730c","resolution":{"observed_at":"2026-08-06T18:19:59.386442Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:19:59.891233Z","title":"Li et al","venue":null,"work_id":"2d001c4d-43ae-45f4-ab52-d9879bfbcdd7","year":2020},"citing_paper":{"arxiv_id":"2507.09029","last_updated":"2026-05-31T02:40:58Z","snapshot_observed_at":"2026-08-06T18:03:36.091427Z","submitted_at":"2025-07-11T21:25:11Z","title":"Model Parallelism With Subnetwork Data Parallelism","version":5},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T18:19:59.397231Z"},"links":{"citing_paper":"/paper/2507.09029"},"observation_digest":"sha256:2cb38172d43301da33de0ecd00ee4c5fce862add6e979e0d4c5e14631dd066bc","observation_id":"3dd075db-3ea5-413a-bbfc-c5e536d9d76f","resolution":{"observed_at":"2026-08-06T18:19:59.895749Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:19:59.877159Z","title":null,"venue":null,"work_id":"e25219c1-07cd-4802-abce-e75f0c9f8d64","year":2021},"citing_paper":{"arxiv_id":"2507.09029","last_updated":"2026-05-31T02:40:58Z","snapshot_observed_at":"2026-08-06T18:03:36.091427Z","submitted_at":"2025-07-11T21:25:11Z","title":"Model Parallelism With Subnetwork Data Parallelism","version":5},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T18:19:59.401677Z"},"links":{"citing_paper":"/paper/2507.09029"},"observation_digest":"sha256:28ca72b9f53a5cb2e92301d784c8f86943301c1384d5b2b0e4b683589f7e6d53","observation_id":"02b29199-489f-42d8-9603-944f46c766c5","resolution":{"observed_at":"2026-08-06T18:19:59.881050Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:19:59.404673Z","title":"Oquab, T","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.09029","last_updated":"2026-05-31T02:40:58Z","snapshot_observed_at":"2026-08-06T18:03:36.091427Z","submitted_at":"2025-07-11T21:25:11Z","title":"Model Parallelism With Subnetwork Data Parallelism","version":5},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T18:19:59.404673Z"},"links":{"citing_paper":"/paper/2507.09029"},"observation_digest":"sha256:d470d36800a0a97b357e279e5ef9963ba6f9fc0de9617cd8a699951111087269","observation_id":"198737de-bc68-48cb-9e36-549cdf096edb","resolution":{"observed_at":"2026-08-06T18:19:59.404673Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:19:59.407542Z","title":"Penedo, H","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.09029","last_updated":"2026-05-31T02:40:58Z","snapshot_observed_at":"2026-08-06T18:03:36.091427Z","submitted_at":"2025-07-11T21:25:11Z","title":"Model Parallelism With Subnetwork Data Parallelism","version":5},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T18:19:59.407542Z"},"links":{"citing_paper":"/paper/2507.09029"},"observation_digest":"sha256:f5c0220eea9e04a666674357b7f2224b2942c27da54cc6f871f79c1c697cf6ba","observation_id":"04625525-42ae-4c06-b60b-7b5cbcb9a6db","resolution":{"observed_at":"2026-08-06T18:19:59.407542Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:19:59.848364Z","title":"Radford, J","venue":null,"work_id":"c8fa41b6-f026-4612-a828-3c9caef21694","year":2021},"citing_paper":{"arxiv_id":"2507.09029","last_updated":"2026-05-31T02:40:58Z","snapshot_observed_at":"2026-08-06T18:03:36.091427Z","submitted_at":"2025-07-11T21:25:11Z","title":"Model Parallelism With Subnetwork Data Parallelism","version":5},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T18:19:59.411968Z"},"links":{"citing_paper":"/paper/2507.09029"},"observation_digest":"sha256:43f33396fb4492dd7dc091fb79559c56fa3ee04bc6aa71cd54b6ffb8274c5c3f","observation_id":"11b9d93d-ef00-48e0-ab6f-2f4634034ae4","resolution":{"observed_at":"2026-08-06T18:19:59.851997Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:19:59.836986Z","title":"Rajbhandari, J","venue":null,"work_id":"9cbc5cca-7aa3-439b-9f55-1420264669c7","year":2020},"citing_paper":{"arxiv_id":"2507.09029","last_updated":"2026-05-31T02:40:58Z","snapshot_observed_at":"2026-08-06T18:03:36.091427Z","submitted_at":"2025-07-11T21:25:11Z","title":"Model Parallelism With Subnetwork Data Parallelism","version":5},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T18:19:59.414736Z"},"links":{"citing_paper":"/paper/2507.09029"},"observation_digest":"sha256:903ad8633adbab8ae52e1261c203ca5d52b14f467b0269e92e17f9908f058a1c","observation_id":"864fd50a-73d1-4093-91a7-bcacd8dd80f0","resolution":{"observed_at":"2026-08-06T18:19:59.842564Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:19:59.417704Z","title":"Rasley, S","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.09029","last_updated":"2026-05-31T02:40:58Z","snapshot_observed_at":"2026-08-06T18:03:36.091427Z","submitted_at":"2025-07-11T21:25:11Z","title":"Model Parallelism With Subnetwork Data Parallelism","version":5},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T18:19:59.417704Z"},"links":{"citing_paper":"/paper/2507.09029"},"observation_digest":"sha256:611b0d4c3473334543282b104c91c0776c0c0a5d0b1e1c6e5aa8c3b00d634fef","observation_id":"2c6933e3-cae1-4713-849a-6bb7d67d04d0","resolution":{"observed_at":"2026-08-06T18:19:59.417704Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:19:59.807307Z","title":null,"venue":null,"work_id":"6d58cce4-0ac4-4da8-9313-2219c982612a","year":null},"citing_paper":{"arxiv_id":"2507.09029","last_updated":"2026-05-31T02:40:58Z","snapshot_observed_at":"2026-08-06T18:03:36.091427Z","submitted_at":"2025-07-11T21:25:11Z","title":"Model Parallelism With Subnetwork Data Parallelism","version":5},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T18:19:59.420005Z"},"links":{"citing_paper":"/paper/2507.09029"},"observation_digest":"sha256:a5d99df4906a4c39f71a407d0e40b8cc3fdadbf97752f65fa67ffd5e9e744106","observation_id":"75eebaf9-adb0-42a3-922f-047c7e3bb274","resolution":{"observed_at":"2026-08-06T18:19:59.811543Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:19:59.779423Z","title":"Rivaud, L","venue":null,"work_id":"a1096b8b-7fca-47cf-9790-e047612f502b","year":2024},"citing_paper":{"arxiv_id":"2507.09029","last_updated":"2026-05-31T02:40:58Z","snapshot_observed_at":"2026-08-06T18:03:36.091427Z","submitted_at":"2025-07-11T21:25:11Z","title":"Model Parallelism With Subnetwork Data Parallelism","version":5},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T18:19:59.426220Z"},"links":{"citing_paper":"/paper/2507.09029"},"observation_digest":"sha256:89d07da9d3cd282648893c8fd2f71552fa5eb84c0117260c623a29fb5966d04f","observation_id":"04c85bbf-4c68-49ac-883f-626bcd5eada1","resolution":{"observed_at":"2026-08-06T18:19:59.783113Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:19:59.429527Z","title":"Ryabinin, T","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.09029","last_updated":"2026-05-31T02:40:58Z","snapshot_observed_at":"2026-08-06T18:03:36.091427Z","submitted_at":"2025-07-11T21:25:11Z","title":"Model Parallelism With Subnetwork Data Parallelism","version":5},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T18:19:59.429527Z"},"links":{"citing_paper":"/paper/2507.09029"},"observation_digest":"sha256:9b4d278c2bbcef84470c52d1d39d85053754e8e7ae7f51284f9a12c1555888c2","observation_id":"bfc1bf24-7138-4347-ab0f-9539e7a4be90","resolution":{"observed_at":"2026-08-06T18:19:59.429527Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:19:59.432277Z","title":"Shang, K","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.09029","last_updated":"2026-05-31T02:40:58Z","snapshot_observed_at":"2026-08-06T18:03:36.091427Z","submitted_at":"2025-07-11T21:25:11Z","title":"Model Parallelism With Subnetwork Data Parallelism","version":5},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T18:19:59.432277Z"},"links":{"citing_paper":"/paper/2507.09029"},"observation_digest":"sha256:945935f199db3f4022d1835cfad8bd6abcdbb9247dd10ac85ef9ae00e852ceb1","observation_id":"aee98a14-8460-4fd4-b62a-76e78a358f8f","resolution":{"observed_at":"2026-08-06T18:19:59.432277Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:19:59.755267Z","title":"Shazeer, Y","venue":null,"work_id":"88dfa6b9-10ad-476d-8b2c-21c8098e50b3","year":2018},"citing_paper":{"arxiv_id":"2507.09029","last_updated":"2026-05-31T02:40:58Z","snapshot_observed_at":"2026-08-06T18:03:36.091427Z","submitted_at":"2025-07-11T21:25:11Z","title":"Model Parallelism With Subnetwork Data Parallelism","version":5},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T18:19:59.435021Z"},"links":{"citing_paper":"/paper/2507.09029"},"observation_digest":"sha256:1fc8dec365dea695bfd8e26a6962df43cb283e0f9d7bfae5756357b0919ff7fe","observation_id":"4b7521fc-9ac2-4359-beb0-8de455a8b0bf","resolution":{"observed_at":"2026-08-06T18:19:59.759477Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.08772","last_updated":"2019-11-20T08:50:59Z","snapshot_observed_at":"2026-07-06T08:38:25.007761Z","submitted_at":"2019-11-20T08:50:59Z","title":"Understanding Top-k Sparsification in Distributed Deep Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.08772","snapshot_observed_at":"2026-08-06T18:19:59.438283Z","title":null,"venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2507.09029","last_updated":"2026-05-31T02:40:58Z","snapshot_observed_at":"2026-08-06T18:03:36.091427Z","submitted_at":"2025-07-11T21:25:11Z","title":"Model Parallelism With Subnetwork Data Parallelism","version":5},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T18:19:59.438283Z"},"links":{"cited_paper":"/paper/1911.08772","citing_paper":"/paper/2507.09029"},"observation_digest":"sha256:2fb5da2d13b6a58a331ba7c8e6d1a0b8bbdd6cdc4b0a00e20944c9d0c743a84b","observation_id":"468b79fc-86a8-4f9a-a816-c9e55809958c","resolution":{"observed_at":"2026-08-06T18:19:59.438283Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1909.08053","last_updated":"2020-03-13T23:45:18Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2019-09-17T19:42:54Z","title":"Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1909.08053","snapshot_observed_at":"2026-08-06T18:19:59.443707Z","title":"Shoeybi et al","venue":null,"work_id":null,"year":1909},"citing_paper":{"arxiv_id":"2507.09029","last_updated":"2026-05-31T02:40:58Z","snapshot_observed_at":"2026-08-06T18:03:36.091427Z","submitted_at":"2025-07-11T21:25:11Z","title":"Model Parallelism With Subnetwork Data Parallelism","version":5},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T18:19:59.443707Z"},"links":{"cited_paper":"/paper/1909.08053","citing_paper":"/paper/2507.09029"},"observation_digest":"sha256:3d17e97277c4b8b634298a42695c508b9cf37c34c68fab34f0bece2a505db656","observation_id":"0fda859c-f7db-41c0-bbaa-7efca590914a","resolution":{"observed_at":"2026-08-06T18:19:59.443707Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:19:59.741036Z","title":"Srivastava, G","venue":null,"work_id":"3661d411-43a5-4089-a7ba-38dc9c488712","year":1929},"citing_paper":{"arxiv_id":"2507.09029","last_updated":"2026-05-31T02:40:58Z","snapshot_observed_at":"2026-08-06T18:03:36.091427Z","submitted_at":"2025-07-11T21:25:11Z","title":"Model Parallelism With Subnetwork Data Parallelism","version":5},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T18:19:59.446974Z"},"links":{"citing_paper":"/paper/2507.09029"},"observation_digest":"sha256:ca70e7843fe37fa99de40d4173abab396e6fe65283a05fba4e8effdeeff3a075","observation_id":"61f89a12-9b7b-4149-92ef-3e2eb90b6252","resolution":{"observed_at":"2026-08-06T18:19:59.745523Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.13971","last_updated":"2023-02-27T17:11:15Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-02-27T17:11:15Z","title":"LLaMA: Open and Efficient Foundation Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.13971","snapshot_observed_at":"2026-08-06T18:19:59.449986Z","title":"Touvron, T","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.09029","last_updated":"2026-05-31T02:40:58Z","snapshot_observed_at":"2026-08-06T18:03:36.091427Z","submitted_at":"2025-07-11T21:25:11Z","title":"Model Parallelism With Subnetwork Data Parallelism","version":5},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T18:19:59.449986Z"},"links":{"cited_paper":"/paper/2302.13971","citing_paper":"/paper/2507.09029"},"observation_digest":"sha256:71106fe3b7b4545395d36a9f1cea3c5f10279277c9dc1a53a3b8a64330bdbc7d","observation_id":"5204fcb9-8619-4d28-b497-cbe43e62a793","resolution":{"observed_at":"2026-08-06T18:19:59.449986Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:19:59.728998Z","title":null,"venue":null,"work_id":"add44c6a-a36b-4b41-b2b0-f800a421088b","year":2023},"citing_paper":{"arxiv_id":"2507.09029","last_updated":"2026-05-31T02:40:58Z","snapshot_observed_at":"2026-08-06T18:03:36.091427Z","submitted_at":"2025-07-11T21:25:11Z","title":"Model Parallelism With Subnetwork Data Parallelism","version":5},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T18:19:59.453160Z"},"links":{"citing_paper":"/paper/2507.09029"},"observation_digest":"sha256:33298ee8964da923a8e5ce762f6b9f659ba4b07b32384fcecd6c5368adc7c929","observation_id":"ca0fb3b4-ebc1-42b5-9968-574164e13ba6","resolution":{"observed_at":"2026-08-06T18:19:59.733297Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:19:59.717395Z","title":"Wen, K.-J","venue":null,"work_id":"0b77472b-17b0-4229-a4b2-dca3b3261c14","year":2022},"citing_paper":{"arxiv_id":"2507.09029","last_updated":"2026-05-31T02:40:58Z","snapshot_observed_at":"2026-08-06T18:03:36.091427Z","submitted_at":"2025-07-11T21:25:11Z","title":"Model Parallelism With Subnetwork Data Parallelism","version":5},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T18:19:59.456288Z"},"links":{"citing_paper":"/paper/2507.09029"},"observation_digest":"sha256:5a02bc2053405039359128ecc43ad5f6a395591fb8852e87e698e1380ad089a5","observation_id":"dbfa0d16-9136-4578-9d32-e02b998bc804","resolution":{"observed_at":"2026-08-06T18:19:59.721573Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2110.00476","last_updated":"2021-10-01T15:09:22Z","snapshot_observed_at":"2026-07-06T11:53:31.073250Z","submitted_at":"2021-10-01T15:09:22Z","title":"ResNet strikes back: An improved training procedure in timm","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.00476","snapshot_observed_at":"2026-08-06T18:19:59.459360Z","title":"Wightman, H","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.09029","last_updated":"2026-05-31T02:40:58Z","snapshot_observed_at":"2026-08-06T18:03:36.091427Z","submitted_at":"2025-07-11T21:25:11Z","title":"Model Parallelism With Subnetwork Data Parallelism","version":5},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T18:19:59.459360Z"},"links":{"cited_paper":"/paper/2110.00476","citing_paper":"/paper/2507.09029"},"observation_digest":"sha256:bf3e80a9fcb6aaa2e0a8b78b3832f5ef4562fc3ee4a41b432e8670e2fce39be0","observation_id":"c0cef71d-05d5-44e8-8bc9-2018b8be5a6c","resolution":{"observed_at":"2026-08-06T18:19:59.459360Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:19:59.705566Z","title":"Xu, C.-Y","venue":null,"work_id":"a1e34990-caed-480c-8f58-228db50bc385","year":2021},"citing_paper":{"arxiv_id":"2507.09029","last_updated":"2026-05-31T02:40:58Z","snapshot_observed_at":"2026-08-06T18:03:36.091427Z","submitted_at":"2025-07-11T21:25:11Z","title":"Model Parallelism With Subnetwork Data Parallelism","version":5},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T18:19:59.463118Z"},"links":{"citing_paper":"/paper/2507.09029"},"observation_digest":"sha256:2ad03e42cb8dc127cc08c4e0aa0828655a03dec88e8240ed505b52fd15d52511","observation_id":"20bcc893-84a2-4784-a7cf-7f2713418d88","resolution":{"observed_at":"2026-08-06T18:19:59.710206Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1910.02120","last_updated":"2022-04-18T20:19:23Z","snapshot_observed_at":"2026-08-02T12:21:25.607968Z","submitted_at":"2019-10-04T19:46:16Z","title":"Distributed Learning of Deep Neural Networks using Independent Subnet Training","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1910.02120","snapshot_observed_at":"2026-08-06T18:19:59.466187Z","title":null,"venue":null,"work_id":null,"year":1910},"citing_paper":{"arxiv_id":"2507.09029","last_updated":"2026-05-31T02:40:58Z","snapshot_observed_at":"2026-08-06T18:03:36.091427Z","submitted_at":"2025-07-11T21:25:11Z","title":"Model Parallelism With Subnetwork Data Parallelism","version":5},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T18:19:59.466187Z"},"links":{"cited_paper":"/paper/1910.02120","citing_paper":"/paper/2507.09029"},"observation_digest":"sha256:aa3e415437fa97675bdec25d950ccec82e27d4d229f701f61ab32ec3e5861e67","observation_id":"940a92c8-87f6-454b-b270-a35b838ceaa0","resolution":{"observed_at":"2026-08-06T18:19:59.466187Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.18223","last_updated":"2026-03-18T05:34:39Z","snapshot_observed_at":"2026-08-06T23:27:24.356320Z","submitted_at":"2023-03-31T17:28:46Z","title":"A Survey of Large Language Models","version":19},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.18223","snapshot_observed_at":"2026-08-06T18:19:59.469436Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.09029","last_updated":"2026-05-31T02:40:58Z","snapshot_observed_at":"2026-08-06T18:03:36.091427Z","submitted_at":"2025-07-11T21:25:11Z","title":"Model Parallelism With Subnetwork Data Parallelism","version":5},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T18:19:59.469436Z"},"links":{"cited_paper":"/paper/2303.18223","citing_paper":"/paper/2507.09029"},"observation_digest":"sha256:77ccdf4b720b9fb77a2069ab97659f87ea35b153b2e323ce0a18753466ab8a6d","observation_id":"a6f33ba7-5a4c-4fe0-82d1-7eec1feb7cd6","resolution":{"observed_at":"2026-08-06T18:19:59.469436Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.11277","last_updated":"2023-09-12T16:28:00Z","snapshot_observed_at":"2026-08-01T19:01:47.393546Z","submitted_at":"2023-04-21T23:52:27Z","title":"PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.11277","snapshot_observed_at":"2026-08-06T18:19:59.473388Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.09029","last_updated":"2026-05-31T02:40:58Z","snapshot_observed_at":"2026-08-06T18:03:36.091427Z","submitted_at":"2025-07-11T21:25:11Z","title":"Model Parallelism With Subnetwork Data Parallelism","version":5},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T18:19:59.473388Z"},"links":{"cited_paper":"/paper/2304.11277","citing_paper":"/paper/2507.09029"},"observation_digest":"sha256:c48d8f95a88d90727847a9375793741e16bac5f817484929333aa46118e0ca2e","observation_id":"b9c5ddec-5c58-4f7b-aaec-d6143cd8e4f1","resolution":{"observed_at":"2026-08-06T18:19:59.473388Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:19:59.694402Z","title":"Zhuang, X","venue":null,"work_id":"5cf08f66-ef64-4312-bfb2-a3976432099a","year":2022},"citing_paper":{"arxiv_id":"2507.09029","last_updated":"2026-05-31T02:40:58Z","snapshot_observed_at":"2026-08-06T18:03:36.091427Z","submitted_at":"2025-07-11T21:25:11Z","title":"Model Parallelism With Subnetwork Data Parallelism","version":5},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-06T18:19:59.477299Z"},"links":{"citing_paper":"/paper/2507.09029"},"observation_digest":"sha256:5b9668c0541f7012bc6dd3c7fbc89eb6b05ef8df3e78cba95e13400af60ce7a2","observation_id":"89d6f1ae-c8e7-4686-82bb-506a0cae0e1a","resolution":{"observed_at":"2026-08-06T18:19:59.698344Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:19:59.791512Z","title":null,"venue":null,"work_id":"4054629c-744d-47ab-89ac-84ffdd19fd1e","year":null},"citing_paper":{"arxiv_id":"2507.09029","last_updated":"2026-05-31T02:40:58Z","snapshot_observed_at":"2026-08-06T18:03:36.091427Z","submitted_at":"2025-07-11T21:25:11Z","title":"Model Parallelism With Subnetwork Data Parallelism","version":5},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-06T18:19:59.423026Z"},"links":{"citing_paper":"/paper/2507.09029"},"observation_digest":"sha256:463b0195b75b0db5753b85698f2861abdb4dc17883701403d62e41da5b421dff","observation_id":"d53641bc-6f4b-4c49-998a-8ca99af39a2a","resolution":{"observed_at":"2026-08-06T18:19:59.800610Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.09029","last_updated":"2026-05-31T02:40:58Z","latest_version":5,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-06T18:03:36.091427Z","submitted_at":"2025-07-11T21:25:11Z","title":"Model Parallelism With Subnetwork Data Parallelism"},"reference_resolution":{"displayed":51,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":35,"verified_exact":1,"verified_fuzzy":15},"total_outbound_references":51},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2507.09029."}