{"as_of":"2026-08-09T23:10:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7ad1e1fa0fd5a1e6b5782c5ffb0d2178b25d055653f2b896310feda967ef47c8","coverage":[{"denominator":63,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":63,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-10T09:25:35.448333Z","state":"measured"},{"denominator":64,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":64,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-31T09:20:42.835876Z","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":[{"citation":{"cited_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2604.15522","snapshot_observed_at":"2026-07-31T09:20:42.835876Z","title":"EasyRider: Mitigating power transients in datacenter-scale training workloads, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.28377","last_updated":"2026-07-30T15:36:39Z","snapshot_observed_at":"2026-08-07T03:33:32.655843Z","submitted_at":"2026-07-30T15:36:39Z","title":"Anonymous sharing is pairwise phase-blind","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-31T09:20:42.835876Z"},"links":{"cited_paper":"/paper/2604.15522","citing_paper":"/paper/2607.28377"},"observation_digest":"sha256:ae191dcbf7574f639704d8b632f77b4a39099d6a7d3c8d1a3c667b95bd973c0a","observation_id":"86abd7a2-20fd-4f78-b4ad-547b766ac573","resolution":{"observed_at":"2026-07-31T09:20:42.835876Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2604.15522/citation-record","integrity":"/paper/2604.15522/integrity","json":"/paper/2604.15522/citation-record.json","paper":"/paper/2604.15522"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"ac059fa5-293b-46a2-97c2-bfe52b6cf445","year":2025},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:34b9f87913c1df722715e509334f6be1e91d1ea780415c4bacfae71cff515a34","observation_id":"d863c252-a8be-45a3-aefb-5802716a180e","resolution":{"observed_at":"2026-05-20T17:23:47.200703Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1177/0957650920932083","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"Proceedings of the Institution of Mechanical Engineers Part A Journal of Power and Energy","work_id":"1a58f421-7e1b-4cdd-b941-9f5a314a2ac7","year":2021},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:08cffda066c23e346aeb6356590c799488ab0861aacc74a11c6ad95ba1ff6f5a","observation_id":"ce9bb64e-7d07-4757-ba95-43695447a6f0","resolution":{"observed_at":"2026-05-10T09:28:38.577257Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"2025.Connection Require- ments for Transmission-Connected Data Centres","venue":null,"work_id":"d96e95ca-07fe-4c4a-b145-c7d7d1705bbb","year":2025},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:d5b13b7a9f688c55a40629a74d75b72888053fff11cdb84b000b61e09023d88d","observation_id":"364e7e41-3c1b-4c72-9081-6fc3285ea1bc","resolution":{"observed_at":"2026-05-20T17:23:47.185441Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"7f6a40b1-a702-44a5-bd24-e832e142ecb8","year":2025},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:f8d0fc946b00f95f8ba5fb2a1a6af2823e919e0a1af38126228f246ec581b359","observation_id":"24c2b4a0-526b-4119-ba20-0994edd243fb","resolution":{"observed_at":"2026-05-20T17:23:47.202656Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"2013.The Datacenter as a Computer: An Introduction to the Design of Warehouse-Scale Machines, Second Edition.http://dx.doi.org/10.2200/ S00516ED2V01Y201306CAC024","venue":null,"work_id":"dc5a831c-10b0-44c6-90cc-06c00d64a45c","year":2013},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:2cc8ef4e92a5b3fae75a2e5915b80d1037591160283a2d2de2c08b3dd606b94d","observation_id":"9f075d4f-deb0-4c1c-a357-4e3cc535847b","resolution":{"observed_at":"2026-05-20T17:23:47.204881Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s00287-014-0850-0","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Koenig, Sridutt Bhalachandra, Mehdi Sheikhalishahi, Tapasya Patki, Barry Rountree, and Stephen Poole","venue":"Informatik-Spektrum","work_id":"dad408df-2862-412b-b6e2-daebc493d645","year":2015},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:32b6c538456213ff5e5796eb4e3044abe6676b35f90fa01cb6ec8874f1c725e5","observation_id":"c4b4d22b-02df-4cff-bd8e-45a3abc26857","resolution":{"observed_at":"2026-05-10T09:28:38.595564Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"775cc5e5-c65b-4122-814b-960b9ebbd3bc","year":null},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:f5026a2d488d3e208c5c8446fd0a491e139c6ee64995035dd81037d2b2748636","observation_id":"2e1a5246-bf7f-441f-95c1-e2ac64e0caba","resolution":{"observed_at":"2026-05-20T17:23:47.189323Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2501.12725","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv:2501.12725 [math.OC] https://arxiv.org/abs/2501.12725","venue":null,"work_id":"a046ef49-097a-4bcd-850c-7c327fc552c4","year":null},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:6b199ff4328b1a90e86d491812a9edf0b138d66f7bd0d3bcf0d5aa545cf2c28c","observation_id":"bdf99a8b-dada-4e75-8a0d-beaeabab3baa","resolution":{"observed_at":"2026-05-10T09:28:38.807025Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"dce87c10-276c-418a-a8e6-4ae57b03befe","year":null},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:683f49555193d82ab986440df580de23a9e1202befed6d2ee572216d781b6a1c","observation_id":"69fc9b84-ada3-44a7-a0de-f80001124a3d","resolution":{"observed_at":"2026-05-20T17:23:47.191821Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1109/mm.2024","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"2024), 30–36","venue":null,"work_id":"05b1fc3f-702d-4fa0-8281-5fce942dc556","year":2024},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:78c5db58f8f65684826c0b1941b219aff501d55431d30b67f80c337de6ba4f92","observation_id":"c97caeb7-77e8-429d-b68f-785036dad6e5","resolution":{"observed_at":"2026-05-10T09:28:38.583235Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"bb3e6355-8a92-45ee-a57f-61ab625907fc","year":2025},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:6abe45115daa05b2aa17c632634c67afcb22cd489912bf602b82441e6b9eb835","observation_id":"5ff4b6a8-b89e-4824-9d99-afe2d12912a2","resolution":{"observed_at":"2026-05-20T17:23:47.196185Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"2013.Torsional Dynamics; Large 2-pole and 4-pole Steam Turbine Powertrains (GER-4724)","venue":null,"work_id":"f57c769f-c9fd-4406-b383-b11339a58fad","year":2013},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:03180c8ec9864b8377175f4604bc998cab4bc460834949b3c1792340ea5c8a83","observation_id":"9c1d7074-9217-46bb-8bbb-e1a7446c3103","resolution":{"observed_at":"2026-05-20T17:23:47.194042Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"22127f66-7934-41a5-b346-abd2a282bb11","year":2023},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:24ffb3e25747f0ecda2cdffe87b84ca01b6ae32cda78508767f5a69d041cc918","observation_id":"4ac51d69-6010-483d-9ac6-5ef527f6f69a","resolution":{"observed_at":"2026-05-20T17:23:47.198220Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.14318","last_updated":"2025-08-21T17:25:27Z","snapshot_observed_at":"2026-08-06T17:57:49.242263Z","submitted_at":"2025-08-20T00:04:06Z","title":"Power Stabilization for AI Training Datacenters","version":2},"cited_work":{"arxiv_id":"2508.14318","doi":"10.48550/arxiv.2508.14318","metadata_source":"pith","pith_arxiv_id":"2508.14318","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Power stabilization for ai training datacenters","venue":"cs.AR","work_id":"6dcd418c-5d05-4f2d-bdcc-284f2f581ff4","year":2025},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"cited_paper":"/paper/2508.14318","citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:c085810558ca394c7cd776a4a49e6701c48e10a79102d5fc1e4c2011d1bcc6e9","observation_id":"c8208583-bf1e-484c-be79-ada28a1c7a1f","resolution":{"observed_at":"2026-05-10T09:28:38.804278Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"4715.369597","doi":"10.1145/3694715.3695970","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Unearthing","venue":null,"work_id":"e4b6fbaf-7ffb-45c0-8ef5-46c8f2f78aa8","year":2024},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:df5b46bdd9498d5a816fbd5557814791de2d76d34a5bab2d84b3af1d62fef553","observation_id":"8320eae2-7701-4757-8581-9c404a67cfcf","resolution":{"observed_at":"2026-05-10T09:28:38.580751Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"2019.Jan- uary 11, 2019 Oscillation Event Report","venue":null,"work_id":"6e910f00-a760-4e61-b1aa-9a24f14a7930","year":2019},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:1e2dfcea35a38b7b72abc362357089da1a4a0260781442e4c63145b9ab86aaba","observation_id":"3fed9131-4262-4ffd-8e07-374a2fb0caaf","resolution":{"observed_at":"2026-05-20T17:23:47.178542Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"2025.Charac- teristics and Risks of Emerging Large Loads","venue":null,"work_id":"d8071da9-dd48-4f09-b145-17388560bf1b","year":2025},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:dbdab82063c07191125edbccfffab5d2b023706099a39e802fd745519bc76097","observation_id":"864d9f28-b46a-4522-a545-c1dd86f8a1d1","resolution":{"observed_at":"2026-05-20T17:23:47.180966Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.19437","last_updated":"2025-02-18T17:26:38Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-12-27T04:03:16Z","title":"DeepSeek-V3 Technical Report","version":2},"cited_work":{"arxiv_id":"2412.19437","doi":"10.1016/j.neucom.2023.127063.url:https://www.sciencedirect","metadata_source":"pith","pith_arxiv_id":"2412.19437","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"DeepSeek-V3 Technical Report","venue":"cs.CL","work_id":"57d2791d-2219-4c31-a077-afc04b12a75c","year":2024},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"cited_paper":"/paper/2412.19437","citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:3e8a0e6688c07ec8df8bc9632becc313441080b7cbe158ea0bc11fce93666b67","observation_id":"22a68eed-f66f-47b0-8ab4-61bcf60c0323","resolution":{"observed_at":"2026-05-10T09:28:38.801750Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"2025.Grid and Market Condi- tions","venue":null,"work_id":"a55335ee-df0f-49fa-9c28-f8808800bd42","year":2025},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:694439571aa85c1b57b23c4df362a48168d658ec343946f8c7f9aad6ea58d714","observation_id":"5a6fdd45-5ca3-4db9-b9c6-3d7f34ab70d3","resolution":{"observed_at":"2026-05-20T17:23:47.151327Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"0798848f-9586-4399-ad7f-3380f63effa0","year":null},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:4172636bf3d8ae32e436b6bcfb280f047ccf5f45f7518ac4707e6de0fb5f61ed","observation_id":"c4b3bacd-9f57-4205-a491-ff9b5797d250","resolution":{"observed_at":"2026-05-20T17:23:47.153719Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1109/ipdpsw.2016.81","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"In2016 IEEE In- ternational Parallel and Distributed Processing Symposium Workshops (IPDPSW)","venue":null,"work_id":"4017d3ca-d502-4304-8b13-4371642efcb0","year":2016},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:971118d68953900798ae9550cd2dfc009957e5f3605e7db0f3061607bddd1772","observation_id":"fab9f659-dfec-4941-b63a-8c0999258afb","resolution":{"observed_at":"2026-05-10T09:28:38.589276Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.rser.2017.05.278","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"Renewable and Sustainable Energy Reviews","work_id":"6d17dda5-bb7e-49f5-9555-900b6c5bd97a","year":2018},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:c54da2b9af504a3f047bf924710e38f6fe844f77455890cc9aa6226d0c5a25f8","observation_id":"6015203d-a96a-4e65-9819-8c4e8d92889d","resolution":{"observed_at":"2026-05-10T09:28:38.575371Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"2021.Recommended Oscillation Analysis for Monitoring and Mitigation Reference Document","venue":null,"work_id":"33aa6340-ace1-47cf-a77a-b87e5234d57f","year":2021},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:79e6b13a0ec94e4fa4e4764b7bd88785f839a50381636ef0a6b42d2dc90753e3","observation_id":"a32c3561-cc83-47b9-b6a4-5c4897b87ef4","resolution":{"observed_at":"2026-05-20T17:23:47.158746Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"5815.15557","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"9b40f9e1-82e5-465b-b8a4-b81d5656a825","year":2009},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:94183cc268d0b1f40343d2cef62a0c35077511023da6e6a89b93989260ef7d75","observation_id":"fa1fcc32-38fd-4c4f-a0bc-91a28e7f4753","resolution":{"observed_at":"2026-05-10T09:28:38.809525Z","resolver_source":"arxiv_id","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"a70b1c55-3da6-40f9-b78b-26280dfc0340","year":null},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:5d12f9e3fd98a9aa8e343e26a4554d6e4c634a3ac1775743bf6da1d9fe4edee4","observation_id":"24e6aca8-eb7d-4d89-80b1-5244b3da9ae2","resolution":{"observed_at":"2026-05-20T17:23:47.142658Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"3162.317319","doi":"10.1145/3173162.3173190","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"InProceedings of the Twenty-Third International Conference on Architectural Support for Programming Languages and Operating Systems(Williamsburg, VA, USA)(ASPLOS ’18)","venue":null,"work_id":"d80710e2-bbe3-4bfe-bd50-95a18f6a422e","year":null},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:1407c959ef855b0001a7dc2e6e096df8a8c165d3ab23e688066bbd18c459de45","observation_id":"99b7fe52-92a8-426d-ae50-68e4f0221370","resolution":{"observed_at":"2026-05-10T09:28:38.593143Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"platforms/4268799","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"b7f1a882-59a4-4983-bc04-c7f9db3e72a1","year":2024},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:5d0e67f0ed4b986b11aa66f208376967429e2372abe8e2dcb0c5362f08cf2a7a","observation_id":"78121731-77f4-4dc7-9605-e7cf9319173f","resolution":{"observed_at":"2026-05-10T09:28:38.814616Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"38fd8e17-b8cb-4d5e-a088-662cf64e1e3b","year":2025},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:1afc2634a2f2e75880b2a7db09b87a908fed2d06d3dab0344ae325742713c58d","observation_id":"eac0d9c0-b5e7-4b25-ae30-0a60a286437c","resolution":{"observed_at":"2026-05-20T17:23:47.182931Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"2003.Frequency control concerns in the North American electric power system","venue":null,"work_id":"96fbe9b6-ad71-4119-a396-0a9060df28db","year":2003},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:94db3515592aaa58c3583bb1c15aaf620f2048e788f29f833c114b65d9b232fd","observation_id":"af390438-7203-467a-a12b-327b77987e2c","resolution":{"observed_at":"2026-05-20T17:23:47.145153Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/978-3-031-48803-0_1","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"Lecture notes in computer science","work_id":"cab6e068-1acf-44e5-8dbf-5c8a55103427","year":2023},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:9cd03b499939425cabb8c712aa48a17aafba093c2d4b6c636f2e5bf71acd61fd","observation_id":"5634be21-9f58-4fa4-8794-eb1dfae1d172","resolution":{"observed_at":"2026-05-10T09:28:38.607036Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[{"edge_observation":{"observed_at":"2026-07-11T04:03:02.969931+00:00","source":"paper_reference_links","state":"open"},"event_date":"2024-09-03","event_type":"correction","notice_doi":"10.1007/978-3-031-48803-0_41","provenance":{"observed_at":"2026-07-11T02:57:25.316044+00:00","source":"crossref","source_record_id":"10.1007/978-3-031-48803-0_41->10.1007/978-3-031-48803-0_1:correction"}}],"reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"9475223c-d866-4b19-bc8a-e2d815c1f1d2","year":2014},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:2fd5cb5e83df3050df6118948f158b1ca816456f93bccea766574494a2407d3a","observation_id":"33042caf-0edf-46ac-960f-05869f66757e","resolution":{"observed_at":"2026-05-20T17:23:47.138844Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"d71e6e4f-38e8-49d0-ba69-6f4a4c39d7be","year":2021},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:a0966d3234e124e09a2226a7be43bf8343259b42e1b4fbdc71742759e54302f2","observation_id":"0faddae3-d875-4486-a5ed-601e66ddaeab","resolution":{"observed_at":"2026-05-20T17:23:47.161075Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.joule.2024.11.013","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Lam, Xiaofan Cui, Florian Stroebl, Maitri Uppaluri, Simona Onori, and William C","venue":"Joule","work_id":"153a4f16-c947-4dff-91aa-a4f868576a3f","year":2025},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:3510962e55045438c08ee1cef9f0fa6a9d7c45fac4cfb5725a2fe81fd2e20c87","observation_id":"e397f6c1-6565-4ba5-8caa-bf2c44e26b72","resolution":{"observed_at":"2026-05-10T09:28:38.601399Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"c12418a5-8a80-4a5f-a35d-69c013240abf","year":2020},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:468c03b7827ac59230691e75a3ec46e0a390b0c8840c04c0cd66ecaf81204fb0","observation_id":"e32bf729-ac07-4610-8fcb-a35dedd171b1","resolution":{"observed_at":"2026-05-20T17:23:47.136718Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2019.00067","doi":"10.3389/fmars.2019.00067","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Lefurgy, Karthick Rajamani, Malcolm S","venue":"Frontiers in Marine Science","work_id":"68517f33-1f67-4824-86cf-4d6946bd4d4e","year":2019},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:f318fc21ce7bf0a6c10f6a2c46b01a404d4279f25c0be4ff85d48e51e03a4830","observation_id":"a5ee8ae0-ccc7-4b6b-a987-471ef0d83551","resolution":{"observed_at":"2026-05-10T09:28:38.824919Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-07-11T06:19:31.641831+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T06:19:31.641831+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.01647","last_updated":"2025-02-06T23:55:34Z","snapshot_observed_at":"2026-08-07T12:03:11.125127Z","submitted_at":"2025-01-28T16:53:07Z","title":"AI Load Dynamics--A Power Electronics Perspective","version":2},"cited_work":{"arxiv_id":"2502.01647","doi":"10.48550/arxiv.2502.01647","metadata_source":"pith","pith_arxiv_id":"2502.01647","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"AI load dynamics–a power electronics perspective","venue":"cs.AR","work_id":"1e0b1ced-3ed2-498f-b020-feb8042dbb85","year":2025},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"cited_paper":"/paper/2502.01647","citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:2d6c7b28a8b9cbf68767c602f41141f7021f4de9e9fb78f150abe82d8b524563","observation_id":"21313c8c-eedc-4fca-92de-42b40c78233e","resolution":{"observed_at":"2026-05-10T09:28:38.822186Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.11416","last_updated":"2024-09-09T05:22:01Z","snapshot_observed_at":"2026-08-07T02:50:30.421807Z","submitted_at":"2024-09-09T05:22:01Z","title":"The Unseen AI Disruptions for Power Grids: LLM-Induced Transients","version":1},"cited_work":{"arxiv_id":"2409.11416","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.11416","snapshot_observed_at":"2026-07-04T08:19:44.941373Z","title":"The unseen AI dis- ruptions for power grids: LLM-induced transients","venue":null,"work_id":"64c7e7ef-484e-4be9-8fd2-2fda50751708","year":2024},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"cited_paper":"/paper/2409.11416","citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:1c7287942a7a55c941c9149a0d56ad9fa45ef39f6a80bb997e7d049396873b0d","observation_id":"5ea9363d-71c1-402a-a81c-418c1c3a5ff6","resolution":{"observed_at":"2026-05-10T09:28:38.819733Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"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":"2407.21783","doi":"10.1016/s0749-0720(15","metadata_source":"pith","pith_arxiv_id":"2407.21783","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"The Llama 3 Herd of Models","venue":"cs.AI","work_id":"1549a635-88af-4ac1-acfe-51ae7bb53345","year":2024},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"cited_paper":"/paper/2407.21783","citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:9c9d5dbb165e465821646ac9fa4f6bc8cd0f9decfca01b28176ac6e3fb1b3bec","observation_id":"132456fa-ae6d-4b2a-8995-1f0df29f3124","resolution":{"observed_at":"2026-05-10T09:28:38.827445Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2024.2024","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T20:35:34.344260Z","title":"2024.2024 Generative AI Red Teaming Transparency Report","venue":null,"work_id":"459669c8-65f4-4244-be27-b50bc9b59a6f","year":2024},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:52ac94d09bf3c2f234f8f579a7f43361d9e813c4cb90be906c43bfe8b7d07837","observation_id":"cf467175-9c08-4900-9c6e-5155bd438aa5","resolution":{"observed_at":"2026-05-10T09:28:38.817207Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"97daed33-5dc2-417c-9bef-5f164eaeef8f","year":2024},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:f98d933e110b963e7648f5ea24fdf7b2251376442cc9f026485843fbf4892812","observation_id":"1f438fb5-7af0-4b5c-a4f2-998e24cf2b23","resolution":{"observed_at":"2026-05-20T17:23:47.140701Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"348d7dc7-93b3-4ab8-910a-fdbb1f9f45e6","year":2025},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:62190f8c199eb139bcdaf71b1c2890777e24208f617e2c20fb8345ed7b467113","observation_id":"9eb919df-604a-498b-8caa-6b587695be8b","resolution":{"observed_at":"2026-05-20T17:23:47.147193Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Wright, and Zhengji Zhao","venue":null,"work_id":"c56674c1-596d-4ce2-b867-4bc577d97e0e","year":null},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:904c7383b0bde9746638afe3794c3936ee284c3b3ebff96f1c1fedbcfebd23fb","observation_id":"7977873d-022b-4027-b31a-b80c80dc874f","resolution":{"observed_at":"2026-05-20T17:23:47.166053Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"1145.373453","doi":"10.1145/3721145.3734532","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"InProceedings of the 39th ACM International Conference on Supercomputing (ICS ’25)","venue":null,"work_id":"ba0abf8e-0b87-48b9-a6da-029f56dd6082","year":2025},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:d29b39e2611c5d1312234f604e911f7693f6abe78bc3b038ef423a414a477b46","observation_id":"5895893d-a4d5-4f33-93c6-c294d076f2b6","resolution":{"observed_at":"2026-05-10T09:28:38.599131Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"7232.362485","doi":"10.1145/3617232.3624852","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Lee, Vijay Janapa Reddi, Gu-Yeon Wei, David Brooks, and G","venue":null,"work_id":"568ec42e-af45-4ab7-bbc2-a2d90925f2d9","year":2024},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:6b0f7460944abdcb95877500702e8f736c639238ad507aaf4d5c796a6bf7fe5e","observation_id":"3dee5427-d6a7-4285-97a1-91a1bdef030b","resolution":{"observed_at":"2026-05-10T09:28:38.604860Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"bc81e8cc-7432-4aa2-918d-a3a15928120c","year":2024},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:27d08a699fbc471fcccf2fb83d39c633975d3c0538ebbb109e1fe96b0565fb2c","observation_id":"9cdca645-8056-4d46-b55d-fff35791ccda","resolution":{"observed_at":"2026-05-20T17:23:47.129877Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"9709.2020","doi":"10.1109/cloud49709.2020.00058","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Islam, and Shaolei Ren","venue":null,"work_id":"b46508a9-d155-4ba0-aba2-62b0125f0058","year":2020},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:7ac5431f9b29bbddf55724c7c3285526fba6016903fe66217dd48459d3c95fb0","observation_id":"0079a9f1-07ea-43c6-954c-53e7ec8e3cd2","resolution":{"observed_at":"2026-05-10T09:28:38.571435Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"8817.34761","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Austin Ellis, and Feiyi Wang","venue":null,"work_id":"d4221ab2-06a8-4593-9f66-833f43cd21d3","year":2021},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:4377561dec1e7f754a0a99c0fe5a1b20ed0b618febc6f33818a7d33b318c99b3","observation_id":"9720e751-2044-4ca2-94e3-0e40b42a0a16","resolution":{"observed_at":"2026-05-10T09:28:38.830032Z","resolver_source":"arxiv_id","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"9186.333921","doi":"10.1145/3339186.3339214","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Stewart, Gregory A","venue":null,"work_id":"2f6824ae-549e-4cb0-93bc-68fe3ab1128f","year":2019},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:b6f69a45c3792e579c64f63b1858e6324b1be1872b2f83d7698df074dfd446aa","observation_id":"61213fed-560f-4bee-8bce-2f94ad8c7f45","resolution":{"observed_at":"2026-05-10T09:28:38.560609Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"0088190a-7852-48e1-b8cb-228cd4c5734a","year":2025},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:ba1a43ce46ee4f77fd7cff7c800ac4e25f39dc0bd53e08f1ae2c4890ef3d75e9","observation_id":"ba84462c-45dc-4af5-8386-17e54afca8ab","resolution":{"observed_at":"2026-05-20T17:23:47.132458Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Energy Information Administration","venue":null,"work_id":"ae64234b-c1c2-4a09-9577-b303ee185507","year":2024},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:ca086d811b2fd351540253355c0d14220332302f042bc0930ffab630bcdbbe8c","observation_id":"e201a288-c629-4ef7-a002-9189f0a862f3","resolution":{"observed_at":"2026-05-20T17:23:47.134630Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Korupolu, David Op- penheimer, Eric Tune, and John Wilkes","venue":null,"work_id":"0365e2e2-70ed-4f37-82a0-3a63f1ce5be9","year":2015},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:73bd8dd2912080bf03261d72d18d7b2d77cd0b81edab961546f5517fc973d0ef","observation_id":"f19469fe-35b4-4e55-ab44-15036ea6a090","resolution":{"observed_at":"2026-05-20T17:23:47.149394Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"2d6e113b-f712-4277-9b59-97e3048858d2","year":2025},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:4d992ceeca30a5e160a3471826e0d971636595453b4c1aaa8fc45d5be3271284","observation_id":"dd0339a0-067d-4e76-8fec-37cbd9b8224b","resolution":{"observed_at":"2026-05-20T17:23:47.156035Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1109/59.260859","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Wang and S.M","venue":"IEEE Transactions on Power Systems","work_id":"39636191-17a7-4079-9e9d-90fbd96878fb","year":1993},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:38a2b5f120c207ee6b0140a57ef64de12648f85ef11b64c7cac6d5bb702d1a65","observation_id":"03153d25-cda0-46c1-aa4d-8b737e1b89fe","resolution":{"observed_at":"2026-05-10T09:28:38.566388Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"fec5042e-bb10-44ab-9b38-23c7f82191b7","year":null},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:6d458b80cfd147444971094654b3aeba922e5d143ce2a3a306439fed8d29f326","observation_id":"ef22e24b-2845-43d5-b9ed-1799dd7e3a80","resolution":{"observed_at":"2026-05-20T17:23:47.163687Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2021.313786","doi":"10.1109/tkde.2021.3137861","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"doi:10.1109/TPDS.2021.3137867","venue":null,"work_id":"61c1f1b6-e912-4a95-9e61-8b81554e5803","year":2022},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:5554f055259e29a1a3b79964ac1600ebadf88b321dc967f7b10caaa4cc49be5e","observation_id":"cb4e7f5a-4866-4476-951a-e0f134c85900","resolution":{"observed_at":"2026-05-10T09:28:38.564095Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"f1b6c2f4-9c36-499c-9a3e-e1efa238e9b1","year":2025},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:b1c0803e122e4997b664721926e8c51d799fe97038cc8aa3c8251d266658fed8","observation_id":"e433cca4-889b-45f9-a578-3e347819f3a2","resolution":{"observed_at":"2026-05-20T17:23:47.173245Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1109/isca.2016.48","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":null,"work_id":"0e94e3a4-60fb-4c4d-a25f-331b547e11b0","year":2016},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:2896810f3faf3bc254070df88bb54dd463bfcf4efc279191526b968dbd0bbce6","observation_id":"071e5958-5c46-4930-b3d3-5bea0f121790","resolution":{"observed_at":"2026-05-10T09:28:38.568573Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"7eb15364-b718-40e2-a6a9-dde2f8082f8f","year":2026},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:255ef7f57050c40d210ba65a23afe6afdb3b3cb5b3c7ac312c90f1ce2e4239cf","observation_id":"d3c53f85-205f-4b2c-a56f-fde56fe74786","resolution":{"observed_at":"2026-05-20T17:23:47.175989Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/app132111943","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"Applied Sciences","work_id":"a5b9579f-b5c5-4a9f-bf3b-385f023418b5","year":2023},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:a705a33384b318b522e98ce429660a52f6d24d44d31f41f755b39639abbd1125","observation_id":"acf379c9-fdf0-46ed-812c-36101d212fe3","resolution":{"observed_at":"2026-05-10T09:28:38.573311Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"7726b3e7-9407-4615-8f5b-86e6a1de44d4","year":2023},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:8b3f19e0338668ca8da6d4b3911671ae457309c05cd4606da6af4ae33c0979b6","observation_id":"8d14fb16-dc66-4c5b-9e64-6c86039d1598","resolution":{"observed_at":"2026-05-20T17:23:47.170978Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"44901e31-7b50-4942-914f-11b7b4ebba43","year":2021},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:ad4743a1009b0c8393cc17cf8e3e99cc3087975a6f652066542d633a4749d515","observation_id":"9105e11f-6427-46db-b762-331786e055a2","resolution":{"observed_at":"2026-05-20T17:23:47.168441Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"0678.362479","doi":"10.1145/3620678.3624793","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":null,"work_id":"fbef89ef-fbd7-445c-aee7-6ff5a366f16e","year":2023},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:aabaed8deeb0f44d7360c9ab387235902f436fb39e27fc261ea765b50ebd3ee5","observation_id":"a39caabb-5824-4b4d-a0c2-239304bfb8ad","resolution":{"observed_at":"2026-05-10T09:28:38.586561Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2015.23943","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"93537022-4775-4f0c-83db-621deb2e3c80","year":2015},"citing_paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-05-10T09:25:35.448333Z"},"links":{"citing_paper":"/paper/2604.15522"},"observation_digest":"sha256:60bc498bd4f81e74d03dfbdd4e3cfbf5ca5301c977e1d6dc59e317eb664afd56","observation_id":"2afd1949-7f75-46d8-80b7-4dd5507baef5","resolution":{"observed_at":"2026-05-10T09:28:38.812155Z","resolver_source":"arxiv_id","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2604.15522","last_updated":"2026-04-16T21:04:09Z","latest_version":1,"primary_category":"cs.AR","snapshot_observed_at":"2026-08-08T17:20:26.936750Z","submitted_at":"2026-04-16T21:04:09Z","title":"EasyRider: Mitigating Power Transients in Datacenter-Scale Training Workloads"},"reference_resolution":{"displayed":63,"state_counts":{"malformed_identifier":4,"metadata_mismatch":3,"parse_uncertain":0,"unresolved":22,"verified_exact":24,"verified_fuzzy":10},"total_outbound_references":63},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 1 inbound Pith citation observation for arXiv:2604.15522."}