{"as_of":"2026-08-20T22:25:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:095ceed757f9af2ff22ede567082459a7ff0b96cef6f727264d13b0a1815b887","coverage":[{"denominator":23,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":23,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T18:42:45.675305Z","state":"measured"},{"denominator":52,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":52,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+00:00","state":"measured"},{"denominator":29,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":29,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T15:15:15.221603Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"pith","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":1,"observed_at":"2026-08-05T02:28:24.338817Z","source":"pith"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2508.14318","last_updated":"2025-08-21T17:25:27Z","snapshot_observed_at":"2026-08-19T21:45:00.093571Z","submitted_at":"2025-08-20T00:04:06Z","title":"Power Stabilization for AI Training Datacenters","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.14318","snapshot_observed_at":"2026-08-05T17:22:08.522448Z","title":"Power stabilization for AI training datacenters,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.16465","last_updated":"2025-08-25T16:02:08Z","snapshot_observed_at":"2026-08-19T13:15:56.893806Z","submitted_at":"2025-08-22T15:30:40Z","title":"HOSt3R: Keypoint-free Hand-Object 3D Reconstruction from RGB images","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-05T17:22:08.522448Z"},"links":{"cited_paper":"/paper/2508.14318","citing_paper":"/paper/2508.16465"},"observation_digest":"sha256:2e722f152333eeec52fdc7b812bcfd4c85179a8511b585fc444988961e1799ee","observation_id":"73a5f739-c09f-4eb3-8873-d8bc7397ff58","resolution":{"observed_at":"2026-08-05T17:22:08.522448Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.14318","last_updated":"2025-08-21T17:25:27Z","snapshot_observed_at":"2026-08-19T21:45:00.093571Z","submitted_at":"2025-08-20T00:04:06Z","title":"Power Stabilization for AI Training Datacenters","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.14318","snapshot_observed_at":"2026-08-04T22:40:48.022171Z","title":"Power stabilization for AI training datacenters,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.07218","last_updated":"2026-08-04T18:41:33Z","snapshot_observed_at":"2026-08-14T19:10:11.902269Z","submitted_at":"2025-09-08T20:55:54Z","title":"Electricity Demand and Grid Impacts of AI Data Centers: Challenges and Prospects","version":5},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-04T22:40:48.022171Z"},"links":{"cited_paper":"/paper/2508.14318","citing_paper":"/paper/2509.07218"},"observation_digest":"sha256:dca6fbda0cfb800f1fb92fde1f447b4eb1852e666ed90e4fc952907c51d339e1","observation_id":"efee6e5b-26f6-469d-8b43-c440bfc34cd4","resolution":{"observed_at":"2026-08-04T22:40:48.022171Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.14318","last_updated":"2025-08-21T17:25:27Z","snapshot_observed_at":"2026-08-19T21:45:00.093571Z","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":"2602.10900","last_updated":"2026-04-20T19:03:11Z","snapshot_observed_at":"2026-08-11T13:37:28.856816Z","submitted_at":"2026-02-11T14:28:04Z","title":"AI Infrastructure Sovereignty","version":4},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-16T03:02:37.251469Z"},"links":{"cited_paper":"/paper/2508.14318","citing_paper":"/paper/2602.10900"},"observation_digest":"sha256:9b73f66a13812558984a7d8321c5bbf782cea96db2d1fae86c38a0a4536619f6","observation_id":"1f099b45-2c11-49d3-8ba9-e2492cc7f7f7","resolution":{"observed_at":"2026-05-16T03:07:12.044223Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.14318","last_updated":"2025-08-21T17:25:27Z","snapshot_observed_at":"2026-08-19T21:45:00.093571Z","submitted_at":"2025-08-20T00:04:06Z","title":"Power Stabilization for AI Training Datacenters","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.14318","snapshot_observed_at":"2026-08-02T21:41:22.240324Z","title":"Power stabilization for AI training data- centers.CoRR, abs/2508.14318, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.19660","last_updated":"2026-07-02T10:11:59Z","snapshot_observed_at":"2026-08-16T20:06:50.573809Z","submitted_at":"2026-02-23T10:09:45Z","title":"The Welfare Gap of Strategic Storage: Universal Bounds and Price Non-Linearity","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-02T21:41:22.240324Z"},"links":{"cited_paper":"/paper/2508.14318","citing_paper":"/paper/2602.19660"},"observation_digest":"sha256:c9d4f46f8694a7a29694753fd0cf823c47da7a290dc6f51945721452aaa3354f","observation_id":"8127412d-d9b1-43c7-95cf-33b81659757f","resolution":{"observed_at":"2026-08-02T21:41:22.240324Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.14318","last_updated":"2025-08-21T17:25:27Z","snapshot_observed_at":"2026-08-19T21:45:00.093571Z","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":"2603.00415","last_updated":"2026-05-05T13:10:08Z","snapshot_observed_at":"2026-08-11T10:44:18.475649Z","submitted_at":"2026-02-28T02:30:56Z","title":"Grid Integration of AI Data Centers: A Critical Review of Energy Storage Solutions","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-05-15T18:56:33.224016Z"},"links":{"cited_paper":"/paper/2508.14318","citing_paper":"/paper/2603.00415"},"observation_digest":"sha256:7d0bcf54576012ef23c67cb027c1203e51c13912f6b7188c805db607da9c71bc","observation_id":"619e5a69-5fd4-475e-b542-42a6dd649c7e","resolution":{"observed_at":"2026-05-15T19:00:15.755691Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.14318","last_updated":"2025-08-21T17:25:27Z","snapshot_observed_at":"2026-08-19T21:45:00.093571Z","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":"2603.20897","last_updated":"2026-04-21T01:19:16Z","snapshot_observed_at":"2026-08-02T07:24:06.082029Z","submitted_at":"2026-03-21T18:04:03Z","title":"The data heat island effect: quantifying the impact of AI data centers in a warming world","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-15T06:54:22.037053Z"},"links":{"cited_paper":"/paper/2508.14318","citing_paper":"/paper/2603.20897"},"observation_digest":"sha256:65da63d084a0d0c35c77641b0256ddf09e2815d5bd3e8426697fa637390eabbe","observation_id":"be670adf-bfd1-4f37-a4b4-ed37416b4481","resolution":{"observed_at":"2026-05-15T06:55:10.218075Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.14318","last_updated":"2025-08-21T17:25:27Z","snapshot_observed_at":"2026-08-19T21:45:00.093571Z","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":"2604.07345","last_updated":"2026-04-08T17:56:41Z","snapshot_observed_at":"2026-08-15T06:10:40.788281Z","submitted_at":"2026-04-08T17:56:41Z","title":"Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-10T17:23:15.999195Z"},"links":{"cited_paper":"/paper/2508.14318","citing_paper":"/paper/2604.07345"},"observation_digest":"sha256:15e5e056121af8198fcb8282700fbd325c0b6fdd00b93f1c6340024c296fea3f","observation_id":"499dd05f-39d1-4e4f-920a-56b349d64c33","resolution":{"observed_at":"2026-05-10T17:25:38.932029Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.14318","last_updated":"2025-08-21T17:25:27Z","snapshot_observed_at":"2026-08-19T21:45:00.093571Z","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":"2604.09593","last_updated":"2026-03-04T15:59:46Z","snapshot_observed_at":"2026-08-08T17:32:49.905670Z","submitted_at":"2026-03-04T15:59:46Z","title":"Benchmarking Compound AI Applications for Hardware-Software Co-Design","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-15T16:17:08.045511Z"},"links":{"cited_paper":"/paper/2508.14318","citing_paper":"/paper/2604.09593"},"observation_digest":"sha256:1de955f56b7d818994a2f72ec9671f83b85852550f05afa70f5275750542716d","observation_id":"566e44bd-1fae-4372-bd66-fa1a952ea99d","resolution":{"observed_at":"2026-05-15T16:20:09.926485Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.14318","last_updated":"2025-08-21T17:25:27Z","snapshot_observed_at":"2026-08-19T21:45:00.093571Z","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":"2604.10769","last_updated":"2026-04-12T18:36:30Z","snapshot_observed_at":"2026-08-17T20:16:11.640547Z","submitted_at":"2026-04-12T18:36:30Z","title":"Workload composition smooths aggregate power demand while sustaining short-horizon ramps in AI data centers","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-10T15:41:17.648005Z"},"links":{"cited_paper":"/paper/2508.14318","citing_paper":"/paper/2604.10769"},"observation_digest":"sha256:1d8edb49a5b44b92ec66136c1d58d70b50619d20eae370f4daacc509d563aec7","observation_id":"3cbef8eb-c375-41a6-b831-9894658d8965","resolution":{"observed_at":"2026-05-10T15:45:34.261906Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.14318","last_updated":"2025-08-21T17:25:27Z","snapshot_observed_at":"2026-08-19T21:45:00.093571Z","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":"2026-08-19T15:06:25.924315Z","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:a1b2ca371e1aee31332da43349b3573002b4bff64f4c20d960c31d53fad2b96b","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 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.14318","last_updated":"2025-08-21T17:25:27Z","snapshot_observed_at":"2026-08-19T21:45:00.093571Z","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":"2605.00769","last_updated":"2026-05-01T16:31:38Z","snapshot_observed_at":"2026-08-06T01:23:51.926280Z","submitted_at":"2026-05-01T16:31:38Z","title":"Voltage Ride-Through in Large Loads- A Dual PQ Approach","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-09T19:08:31.562833Z"},"links":{"cited_paper":"/paper/2508.14318","citing_paper":"/paper/2605.00769"},"observation_digest":"sha256:01c0fd6a859b4163d5532a2ce93ee21729e2ae1c7a3c9ba8dd9432b239387699","observation_id":"90024f43-e88b-426a-b3e3-67c431755d7a","resolution":{"observed_at":"2026-05-11T15:51:43.218274Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.14318","last_updated":"2025-08-21T17:25:27Z","snapshot_observed_at":"2026-08-19T21:45:00.093571Z","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":"2605.03090","last_updated":"2026-05-04T19:08:43Z","snapshot_observed_at":"2026-08-17T18:50:06.573568Z","submitted_at":"2026-05-04T19:08:43Z","title":"From Barrier to Bridge: The Case for AI Data Center/Power Grid Co-Design","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-08T17:22:34.567548Z"},"links":{"cited_paper":"/paper/2508.14318","citing_paper":"/paper/2605.03090"},"observation_digest":"sha256:82a93bdb530296ee4a2ba4f0bf46cc8005662636599d416bc313e688695ff782","observation_id":"ae25cc87-6b18-4489-b0a1-12323cfd9d14","resolution":{"observed_at":"2026-05-11T17:36:07.318550Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.14318","last_updated":"2025-08-21T17:25:27Z","snapshot_observed_at":"2026-08-19T21:45:00.093571Z","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":"2605.17190","last_updated":"2026-05-16T23:10:14Z","snapshot_observed_at":"2026-08-16T19:39:34.205315Z","submitted_at":"2026-05-16T23:10:14Z","title":"Replicating Real-World 23-Hz Oscillations Caused by Large Electronic Loads","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-20T13:51:11.498594Z"},"links":{"cited_paper":"/paper/2508.14318","citing_paper":"/paper/2605.17190"},"observation_digest":"sha256:50712efd1cd8cd9c9f278afb4a16a2c1ee62a7e5cec647f2de8879ee7d46724d","observation_id":"c4bbf7b3-0279-4f0f-9201-950b3938145a","resolution":{"observed_at":"2026-05-20T13:53:19.947625Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.14318","last_updated":"2025-08-21T17:25:27Z","snapshot_observed_at":"2026-08-19T21:45:00.093571Z","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":"2605.24326","last_updated":"2026-05-23T01:11:19Z","snapshot_observed_at":"2026-08-18T01:55:53.399683Z","submitted_at":"2026-05-23T01:11:19Z","title":"ScaleAcross Explorer: Exploring Communication Optimization for Scale-Across AI Model Training","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-30T12:57:37.344369Z"},"links":{"cited_paper":"/paper/2508.14318","citing_paper":"/paper/2605.24326"},"observation_digest":"sha256:e0c596d9e5c5c48de0a6b85e05a4cc475aa8e4ee50da33dc4aad9b3b1017cae3","observation_id":"7400ae62-674d-4dce-a0a3-12e7437a0dd9","resolution":{"observed_at":"2026-06-30T13:04:40.500776Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.14318","last_updated":"2025-08-21T17:25:27Z","snapshot_observed_at":"2026-08-19T21:45:00.093571Z","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":"2605.24461","last_updated":"2026-05-26T16:02:20Z","snapshot_observed_at":"2026-08-05T20:27:58.406648Z","submitted_at":"2026-05-23T08:18:01Z","title":"Provisioning to Runtime Optimization of a 100 MW-Scale AI Cluster","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-30T12:30:57.065247Z"},"links":{"cited_paper":"/paper/2508.14318","citing_paper":"/paper/2605.24461"},"observation_digest":"sha256:d81aa37302f88182361175cde956793f9aa13e17fb11731b032b41703b72c376","observation_id":"e22a4dfc-0fb0-41d8-935c-5f7fd0cf97fe","resolution":{"observed_at":"2026-06-30T12:34:38.632486Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.14318","last_updated":"2025-08-21T17:25:27Z","snapshot_observed_at":"2026-08-19T21:45:00.093571Z","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":"2605.26384","last_updated":"2026-05-25T23:14:52Z","snapshot_observed_at":"2026-08-04T02:47:45.128730Z","submitted_at":"2026-05-25T23:14:52Z","title":"GridPilot: Real-Time Grid-Responsive Control for AI Supercomputers","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-29T20:05:39.993588Z"},"links":{"cited_paper":"/paper/2508.14318","citing_paper":"/paper/2605.26384"},"observation_digest":"sha256:b2b506d3a0587021583927c424a35bc0ae2163181c7e52bdbeb9b30804cb53bb","observation_id":"208b875d-3dfb-41c5-a9fa-9b4450d568fd","resolution":{"observed_at":"2026-07-01T16:55:50.729570Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.14318","last_updated":"2025-08-21T17:25:27Z","snapshot_observed_at":"2026-08-19T21:45:00.093571Z","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":"2606.04869","last_updated":"2026-06-30T12:28:42Z","snapshot_observed_at":"2026-08-02T22:39:26.407143Z","submitted_at":"2026-06-03T13:34:26Z","title":"Source Side Mitigation of AI Datacenter Power Fluctuations with a Hybrid Energy Storage System and Residual Differentiable Predictive Control","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-28T05:16:40.311968Z"},"links":{"cited_paper":"/paper/2508.14318","citing_paper":"/paper/2606.04869"},"observation_digest":"sha256:f7a141a0817ac13ff5f5931d6dc61eff8b6481f9179acf2d09f47c7bacd9b925","observation_id":"776071af-5c29-40b7-8de1-69142966e900","resolution":{"observed_at":"2026-07-02T10:06:52.103372Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.14318","last_updated":"2025-08-21T17:25:27Z","snapshot_observed_at":"2026-08-19T21:45:00.093571Z","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":"2606.04869","last_updated":"2026-06-30T12:28:42Z","snapshot_observed_at":"2026-08-02T22:39:26.407143Z","submitted_at":"2026-06-03T13:34:26Z","title":"Source Side Mitigation of AI Datacenter Power Fluctuations with a Hybrid Energy Storage System and Residual Differentiable Predictive Control","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-01T07:36:56.924429Z"},"links":{"cited_paper":"/paper/2508.14318","citing_paper":"/paper/2606.04869"},"observation_digest":"sha256:f3248d23ab854eebe49976f79a74b574d356d7f9d353786da027344182fddf24","observation_id":"b8ed3d67-2289-45db-aa02-50bf7da6094c","resolution":{"observed_at":"2026-07-01T08:05:31.838055Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.14318","last_updated":"2025-08-21T17:25:27Z","snapshot_observed_at":"2026-08-19T21:45:00.093571Z","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":"2606.09163","last_updated":"2026-06-08T07:55:57Z","snapshot_observed_at":"2026-08-06T21:27:30.063697Z","submitted_at":"2026-06-08T07:55:57Z","title":"EnclaveScale: Hardware-Assisted Edge-DP for Secure Data Centre Power Telemetry","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-06-27T16:23:12.837923Z"},"links":{"cited_paper":"/paper/2508.14318","citing_paper":"/paper/2606.09163"},"observation_digest":"sha256:e8055fce42808c39d32063b4ad6c5fcea6dce5b730c41857a6f0a4b829ccfb3e","observation_id":"b3a40ff8-f8da-4d38-9971-2574ae27b22f","resolution":{"observed_at":"2026-07-03T01:37:31.333702Z","resolver_source":"arxiv_id","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.14318","last_updated":"2025-08-21T17:25:27Z","snapshot_observed_at":"2026-08-19T21:45:00.093571Z","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":"2606.21536","last_updated":"2026-06-19T15:35:31Z","snapshot_observed_at":"2026-07-06T23:56:31.454439Z","submitted_at":"2026-06-19T15:35:31Z","title":"Stability Enhancement of Centralized UPS Data Center Systems Under Weak-Grid Conditions","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-06-26T13:23:43.214436Z"},"links":{"cited_paper":"/paper/2508.14318","citing_paper":"/paper/2606.21536"},"observation_digest":"sha256:ffd72fcb84401bd9efe9ce11e8da775c1cab5b1a2cada670e510dee7ffa8275e","observation_id":"2851dd63-9b5a-425b-a31f-97f0477a1fc4","resolution":{"observed_at":"2026-07-04T07:29:39.160809Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.14318","last_updated":"2025-08-21T17:25:27Z","snapshot_observed_at":"2026-08-19T21:45:00.093571Z","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":"2606.21833","last_updated":"2026-06-20T01:59:18Z","snapshot_observed_at":"2026-08-17T15:29:00.145836Z","submitted_at":"2026-06-20T01:59:18Z","title":"Inference as Flexibility: Ramp Management for Transmission-Connected AI Data Centres","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-26T12:03:35.461543Z"},"links":{"cited_paper":"/paper/2508.14318","citing_paper":"/paper/2606.21833"},"observation_digest":"sha256:ed8ff29c3d8f969e270bdb0c1556105ede36b47429557e5f464d92eaa1ffbf37","observation_id":"8040922e-2aa2-4875-986e-036f7c4d7579","resolution":{"observed_at":"2026-07-04T08:09:41.839470Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.14318","last_updated":"2025-08-21T17:25:27Z","snapshot_observed_at":"2026-08-19T21:45:00.093571Z","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":"2606.22096","last_updated":"2026-06-20T15:23:56Z","snapshot_observed_at":"2026-08-10T12:44:57.318361Z","submitted_at":"2026-06-20T15:23:56Z","title":"A Pre-Dispatch Resonance Safety Criterion for AI Training Clusters","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-26T11:45:42.027422Z"},"links":{"cited_paper":"/paper/2508.14318","citing_paper":"/paper/2606.22096"},"observation_digest":"sha256:4eb36a0048a838a7257b06efe6b0db277672a4dfcca033d227d88937b22f69b2","observation_id":"6501033b-69d5-4c48-aef4-2ce30603571c","resolution":{"observed_at":"2026-07-04T08:19:44.940288Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.14318","last_updated":"2025-08-21T17:25:27Z","snapshot_observed_at":"2026-08-19T21:45:00.093571Z","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":"2606.25095","last_updated":"2026-06-23T19:00:10Z","snapshot_observed_at":"2026-08-10T03:19:15.523147Z","submitted_at":"2026-06-23T19:00:10Z","title":"Toward Next-Generation AI Data Centers: Power Delivery Architecture Shifts, Emerging Technologies, and Challenges","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-25T21:47:28.214416Z"},"links":{"cited_paper":"/paper/2508.14318","citing_paper":"/paper/2606.25095"},"observation_digest":"sha256:bb68a1daadb56b2fb5eb28c8915a7e4c072bf9693cf2c64786d25742b2930d8d","observation_id":"d522b5c9-13ee-4d7d-a6ab-775d2c5505f5","resolution":{"observed_at":"2026-07-04T19:10:04.884576Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.14318","last_updated":"2025-08-21T17:25:27Z","snapshot_observed_at":"2026-08-19T21:45:00.093571Z","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":"2607.05993","last_updated":"2026-07-07T08:26:01Z","snapshot_observed_at":"2026-08-16T23:31:09.613906Z","submitted_at":"2026-07-07T08:26:01Z","title":"Bit2Watt: A Cyber-Physical Vulnerability Exploiting GPU Workloads Across Power and Computing Infrastructures","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-08T19:45:14.790572Z"},"links":{"cited_paper":"/paper/2508.14318","citing_paper":"/paper/2607.05993"},"observation_digest":"sha256:80d91085f13d071572f73c8116465f0d36326d3f4fa20936c0c183e6d1712341","observation_id":"c18593ef-afc5-44bf-954a-8f539d38660f","resolution":{"observed_at":"2026-07-08T19:45:30.197123Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.14318","last_updated":"2025-08-21T17:25:27Z","snapshot_observed_at":"2026-08-19T21:45:00.093571Z","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":"2607.06958","last_updated":"2026-07-08T03:35:47Z","snapshot_observed_at":"2026-08-08T01:47:26.472123Z","submitted_at":"2026-07-08T03:35:47Z","title":"Evaluating Grid Resilience in the Era of Ever-Increasing Data Centers","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-09T01:14:28.477278Z"},"links":{"cited_paper":"/paper/2508.14318","citing_paper":"/paper/2607.06958"},"observation_digest":"sha256:9ed55691ec5f8953e736e702fd3b5e9c4de2dc20f8ced327b656af187566f9cc","observation_id":"2138b827-c35f-4dde-bc95-29c28b488e1c","resolution":{"observed_at":"2026-07-09T01:15:50.537987Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.14318","last_updated":"2025-08-21T17:25:27Z","snapshot_observed_at":"2026-08-19T21:45:00.093571Z","submitted_at":"2025-08-20T00:04:06Z","title":"Power Stabilization for AI Training Datacenters","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.14318","snapshot_observed_at":"2026-08-01T18:12:44.770497Z","title":"Power stabilization for ai training datacenters,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.17391","last_updated":"2026-07-19T19:43:35Z","snapshot_observed_at":"2026-08-18T11:43:49.464328Z","submitted_at":"2026-07-19T19:43:35Z","title":"A Phased Development Framework Enabling Islanded Operation of Sustainable AI Data Centers With Onsite Grid-Following and Grid-Forming Energy Architectures","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-01T18:12:44.770497Z"},"links":{"cited_paper":"/paper/2508.14318","citing_paper":"/paper/2607.17391"},"observation_digest":"sha256:baa993511b6436578d6555b1709be8e068d963b3582d8a9c232cce2e2937366a","observation_id":"fd864399-6eab-4fde-a74a-c44ccaba7263","resolution":{"observed_at":"2026-08-01T18:12:44.770497Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.14318","last_updated":"2025-08-21T17:25:27Z","snapshot_observed_at":"2026-08-19T21:45:00.093571Z","submitted_at":"2025-08-20T00:04:06Z","title":"Power Stabilization for AI Training Datacenters","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.14318","snapshot_observed_at":"2026-08-01T12:15:04.549746Z","title":"Power stabilization for AI training datacenters","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.19638","last_updated":"2026-07-22T00:17:16Z","snapshot_observed_at":"2026-08-17T22:14:37.432540Z","submitted_at":"2026-07-22T00:17:16Z","title":"Do Co-Located AI Training Jobs Synchronize? Load-Dependent Throttling as a Coupling Mechanism for Phase-Locking Behind a Shared Power Cap","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-01T12:15:04.549746Z"},"links":{"cited_paper":"/paper/2508.14318","citing_paper":"/paper/2607.19638"},"observation_digest":"sha256:e7a63fe9310c34ae53f1f07b74efb10b3dd72a8053beddaa6c491df161c66afd","observation_id":"b3e20e18-4bf9-4152-a027-11dcbda05964","resolution":{"observed_at":"2026-08-01T12:15:04.549746Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.14318","last_updated":"2025-08-21T17:25:27Z","snapshot_observed_at":"2026-08-19T21:45:00.093571Z","submitted_at":"2025-08-20T00:04:06Z","title":"Power Stabilization for AI Training Datacenters","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.14318","snapshot_observed_at":"2026-08-15T15:15:15.221603Z","title":"Power stabilization for AI training datacenters,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.01250","last_updated":"2026-08-02T14:01:51Z","snapshot_observed_at":"2026-08-17T14:05:32.360180Z","submitted_at":"2026-08-02T14:01:51Z","title":"Smoothing the Ramp, Not the Peak: Scheduling-Induced Power Dynamics of LLM Inference and Their Grid-Scale Consequences","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T15:15:15.221603Z"},"links":{"cited_paper":"/paper/2508.14318","citing_paper":"/paper/2608.01250"},"observation_digest":"sha256:c365b184189c202b59e1aac957129c7c47e9dba98b14d799837c5346ea2dca6b","observation_id":"88357998-1d3e-4228-a2cd-31cc29be56f7","resolution":{"observed_at":"2026-08-15T15:15:15.221603Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.14318","last_updated":"2025-08-21T17:25:27Z","snapshot_observed_at":"2026-08-19T21:45:00.093571Z","submitted_at":"2025-08-20T00:04:06Z","title":"Power Stabilization for AI Training Datacenters","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.14318","snapshot_observed_at":"2026-08-10T11:03:03.547574Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.07289","last_updated":"2026-08-07T14:48:33Z","snapshot_observed_at":"2026-08-19T05:47:26.036338Z","submitted_at":"2026-08-07T14:48:33Z","title":"Synthesizing Voltage Ride-Through Controllers for Data Centers","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T11:03:03.547574Z"},"links":{"cited_paper":"/paper/2508.14318","citing_paper":"/paper/2608.07289"},"observation_digest":"sha256:8caf2fd4bbbf644b93166846333fc96f6fe09a4123f1ed3ab003ffbf92e1400e","observation_id":"2c18f638-0e37-472f-88cb-9c3ad704c330","resolution":{"observed_at":"2026-08-10T11:03:03.547574Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2508.14318/citation-record","integrity":"/paper/2508.14318/integrity","json":"/paper/2508.14318/citation-record.json","paper":"/paper/2508.14318"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T18:42:49.495347Z","title":"Standard for voltage flicker and power swing limitations","venue":null,"work_id":"661f476d-b124-4f18-be8d-42e06c4787fd","year":2013},"citing_paper":{"arxiv_id":"2508.14318","last_updated":"2025-08-21T17:25:27Z","snapshot_observed_at":"2026-08-19T21:45:00.093571Z","submitted_at":"2025-08-20T00:04:06Z","title":"Power Stabilization for AI Training Datacenters","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T18:42:43.634455Z"},"links":{"citing_paper":"/paper/2508.14318"},"observation_digest":"sha256:447d0073df0245976edd180dd8bfe3ac9f20d13556c657517e521f0aa3ccda40","observation_id":"4fe60c07-24e1-472f-b9ec-eabd45d59262","resolution":{"observed_at":"2026-08-05T18:42:49.546806Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-05T18:42:43.729006Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.14318","last_updated":"2025-08-21T17:25:27Z","snapshot_observed_at":"2026-08-19T21:45:00.093571Z","submitted_at":"2025-08-20T00:04:06Z","title":"Power Stabilization for AI Training Datacenters","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T18:42:43.729006Z"},"links":{"citing_paper":"/paper/2508.14318"},"observation_digest":"sha256:51ce9ff0af3159c9be8a9db8305a4c9b25fcab0aaf4ab8d6b038b08af92c8145","observation_id":"da4c2897-0818-4f48-b377-f8c3797e10cb","resolution":{"observed_at":"2026-08-05T18:42:43.729006Z","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":"2026-08-05T18:42:49.332058Z","title":"Petrafikowski","venue":null,"work_id":"7b1d5445-b2c5-4475-8447-a5f98d8fd7b5","year":2023},"citing_paper":{"arxiv_id":"2508.14318","last_updated":"2025-08-21T17:25:27Z","snapshot_observed_at":"2026-08-19T21:45:00.093571Z","submitted_at":"2025-08-20T00:04:06Z","title":"Power Stabilization for AI Training Datacenters","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T18:42:43.883895Z"},"links":{"citing_paper":"/paper/2508.14318"},"observation_digest":"sha256:e54406538cbff1d75f071d00eb29aa02ecc3ffb12d43903177808f7414d1e738","observation_id":"33d8e2dd-51f5-49f5-a6c4-c4626fce57e0","resolution":{"observed_at":"2026-08-05T18:42:49.388774Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-05T18:42:49.082880Z","title":"Torsional dynamics: Large 2-pole and 4-pole steam turbine powertrains","venue":null,"work_id":"bee9f830-eeea-46cd-8d3d-c4be662077fc","year":2013},"citing_paper":{"arxiv_id":"2508.14318","last_updated":"2025-08-21T17:25:27Z","snapshot_observed_at":"2026-08-19T21:45:00.093571Z","submitted_at":"2025-08-20T00:04:06Z","title":"Power Stabilization for AI Training Datacenters","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T18:42:43.988571Z"},"links":{"citing_paper":"/paper/2508.14318"},"observation_digest":"sha256:afcf4b59300cc86bdb17deedc14e3ed4b4a50de31572f367e78de9f0a42e159b","observation_id":"1578983b-af99-4377-bfe1-59964312f9ea","resolution":{"observed_at":"2026-08-05T18:42:49.220113Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-05T18:42:48.925429Z","title":"Deepseek-v3 technical report","venue":null,"work_id":"a2712d15-2769-4108-a71f-45cef4a3cce6","year":2024},"citing_paper":{"arxiv_id":"2508.14318","last_updated":"2025-08-21T17:25:27Z","snapshot_observed_at":"2026-08-19T21:45:00.093571Z","submitted_at":"2025-08-20T00:04:06Z","title":"Power Stabilization for AI Training Datacenters","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T18:42:44.064174Z"},"links":{"citing_paper":"/paper/2508.14318"},"observation_digest":"sha256:fa817137250c6fd4a82b1b9f02bdfb5791bfe32aac411da5f235f05b60b2480e","observation_id":"6ed7ba56-9416-49b2-8d06-13c509a65f93","resolution":{"observed_at":"2026-08-05T18:42:49.015079Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-05T18:42:48.702410Z","title":"Torsional interaction between electrical network phenomena and turbine-generator shafts: Plant vulnerability","venue":null,"work_id":"9a6fbe83-3814-46dd-a45b-4eb270d21ba3","year":2006},"citing_paper":{"arxiv_id":"2508.14318","last_updated":"2025-08-21T17:25:27Z","snapshot_observed_at":"2026-08-19T21:45:00.093571Z","submitted_at":"2025-08-20T00:04:06Z","title":"Power Stabilization for AI Training Datacenters","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T18:42:44.137460Z"},"links":{"citing_paper":"/paper/2508.14318"},"observation_digest":"sha256:18d8063dc56963ce227a55a011afe2dea46da4f722aff339dae5483e176455b2","observation_id":"476fa570-c840-4528-9cab-9b78315a838d","resolution":{"observed_at":"2026-08-05T18:42:48.803796Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-05T18:42:48.520071Z","title":null,"venue":null,"work_id":"a0dd6a51-9db3-454a-ab7d-822e0bb262d8","year":2012},"citing_paper":{"arxiv_id":"2508.14318","last_updated":"2025-08-21T17:25:27Z","snapshot_observed_at":"2026-08-19T21:45:00.093571Z","submitted_at":"2025-08-20T00:04:06Z","title":"Power Stabilization for AI Training Datacenters","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T18:42:44.227685Z"},"links":{"citing_paper":"/paper/2508.14318"},"observation_digest":"sha256:e053b8adfcd3e23664b28a752485c48d396a0ef6865b56efce86b2aaf3a16f94","observation_id":"3ab83d16-c35d-44d8-8154-0590b175fb01","resolution":{"observed_at":"2026-08-05T18:42:48.603045Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-05T18:42:48.349101Z","title":"Asynchronous decentralized parallel stochastic gradient descent","venue":null,"work_id":"76007fa2-c67d-414f-ae18-2e1f116fae39","year":2018},"citing_paper":{"arxiv_id":"2508.14318","last_updated":"2025-08-21T17:25:27Z","snapshot_observed_at":"2026-08-19T21:45:00.093571Z","submitted_at":"2025-08-20T00:04:06Z","title":"Power Stabilization for AI Training Datacenters","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T18:42:44.330131Z"},"links":{"citing_paper":"/paper/2508.14318"},"observation_digest":"sha256:9a9d68e7adef47465aceeaa86adc1dae336f3cd4d1db996c704206700688fa46","observation_id":"85cd7acb-0267-4cac-9505-74b44eacd61f","resolution":{"observed_at":"2026-08-05T18:42:48.412748Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-05T18:42:48.082406Z","title":"How meta keeps its ai hardware reliable","venue":null,"work_id":"95bf9232-a01f-41d5-88ab-29c89dae4c6c","year":2025},"citing_paper":{"arxiv_id":"2508.14318","last_updated":"2025-08-21T17:25:27Z","snapshot_observed_at":"2026-08-19T21:45:00.093571Z","submitted_at":"2025-08-20T00:04:06Z","title":"Power Stabilization for AI Training Datacenters","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T18:42:44.442776Z"},"links":{"citing_paper":"/paper/2508.14318"},"observation_digest":"sha256:c772ee4a50699858b4bfb81957639c8c14606ef6758ab6b5c7166f72a9727512","observation_id":"4d70010b-8fa2-4a51-857e-b45b6b9b9aad","resolution":{"observed_at":"2026-08-05T18:42:48.212774Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-05T18:42:47.867666Z","title":"Phi-3: A highly capable small language model locally on your phone","venue":null,"work_id":"3f6f17c5-5a6d-4eef-957e-c5ade7074574","year":2024},"citing_paper":{"arxiv_id":"2508.14318","last_updated":"2025-08-21T17:25:27Z","snapshot_observed_at":"2026-08-19T21:45:00.093571Z","submitted_at":"2025-08-20T00:04:06Z","title":"Power Stabilization for AI Training Datacenters","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T18:42:44.488132Z"},"links":{"citing_paper":"/paper/2508.14318"},"observation_digest":"sha256:aea733605bee737139463b28ccda720b40a2ac313b1308027b6f0f40fe83839d","observation_id":"a9e004f4-0c27-4a90-9093-94076e5ab58f","resolution":{"observed_at":"2026-08-05T18:42:47.964284Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-05T18:42:47.631854Z","title":"Disturbance monitoring and analysis of oscillatory events.https://www","venue":null,"work_id":"14fab109-2888-457d-bef0-fd14bf648063","year":2019},"citing_paper":{"arxiv_id":"2508.14318","last_updated":"2025-08-21T17:25:27Z","snapshot_observed_at":"2026-08-19T21:45:00.093571Z","submitted_at":"2025-08-20T00:04:06Z","title":"Power Stabilization for AI Training Datacenters","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T18:42:44.555085Z"},"links":{"citing_paper":"/paper/2508.14318"},"observation_digest":"sha256:aa7da9bfaad0df31a388e7a91b318e2691d56c09a97e5d60cd7f24ae8b8bd3a8","observation_id":"700ef5c6-c5bc-44f8-8e2d-a457087de11e","resolution":{"observed_at":"2026-08-05T18:42:47.752109Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-05T18:42:47.447125Z","title":"Intercon- nection oscillation analysis","venue":null,"work_id":"1c9fa3d9-3189-46a2-a186-c45233c4beca","year":2019},"citing_paper":{"arxiv_id":"2508.14318","last_updated":"2025-08-21T17:25:27Z","snapshot_observed_at":"2026-08-19T21:45:00.093571Z","submitted_at":"2025-08-20T00:04:06Z","title":"Power Stabilization for AI Training Datacenters","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T18:42:44.637040Z"},"links":{"citing_paper":"/paper/2508.14318"},"observation_digest":"sha256:69d50167ad0752174d12779bf1f365d202b5dd428dc8d60845133ab9afc735e3","observation_id":"bd07a714-3bb4-4d09-984c-e197e23fc0b0","resolution":{"observed_at":"2026-08-05T18:42:47.526416Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-05T18:42:47.293827Z","title":"NVIDIA, April 2025","venue":null,"work_id":"148b3b2f-b89b-4c55-b389-15a92eeafa36","year":2025},"citing_paper":{"arxiv_id":"2508.14318","last_updated":"2025-08-21T17:25:27Z","snapshot_observed_at":"2026-08-19T21:45:00.093571Z","submitted_at":"2025-08-20T00:04:06Z","title":"Power Stabilization for AI Training Datacenters","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T18:42:44.746665Z"},"links":{"citing_paper":"/paper/2508.14318"},"observation_digest":"sha256:8445e1c7f7a2aa8b863628887deae170344fbc66ac20b7667428d768b9b9e7ba","observation_id":"c59be847-8947-42cf-82cd-015919690a59","resolution":{"observed_at":"2026-08-05T18:42:47.365607Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-05T18:42:47.135570Z","title":"Nvidia collective communications library (nccl).https://developer.nvidia.com/nccl, 2025","venue":null,"work_id":"b73416a1-d4d6-4243-b4de-2c57317cbb23","year":2025},"citing_paper":{"arxiv_id":"2508.14318","last_updated":"2025-08-21T17:25:27Z","snapshot_observed_at":"2026-08-19T21:45:00.093571Z","submitted_at":"2025-08-20T00:04:06Z","title":"Power Stabilization for AI Training Datacenters","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T18:42:44.857027Z"},"links":{"citing_paper":"/paper/2508.14318"},"observation_digest":"sha256:a61b81c16070b94caf115f870afb92707e2066d2547e3fcb5efda5acf61915cb","observation_id":"c9dae897-f28f-447a-8292-2bd118bcd8cd","resolution":{"observed_at":"2026-08-05T18:42:47.206699Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-05T18:42:46.970445Z","title":"Scaling kubernetes to 7,500 nodes.https://openai","venue":null,"work_id":"fece4bd4-5bac-474b-b042-0752dea4523e","year":2021},"citing_paper":{"arxiv_id":"2508.14318","last_updated":"2025-08-21T17:25:27Z","snapshot_observed_at":"2026-08-19T21:45:00.093571Z","submitted_at":"2025-08-20T00:04:06Z","title":"Power Stabilization for AI Training Datacenters","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T18:42:44.977689Z"},"links":{"citing_paper":"/paper/2508.14318"},"observation_digest":"sha256:8a03637d5fa87845e74290ed52b10174c989f1559c1a27c60545be83bd35a94f","observation_id":"67480f6c-c04f-4c87-9dde-5c38f312680b","resolution":{"observed_at":"2026-08-05T18:42:47.038414Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-05T18:42:46.780199Z","title":"Techniques for training large neu- ral networks.https://openai.com/index/ techniques-for-training-large-neural-networks/, June 2022","venue":null,"work_id":"23ac9849-531f-47a9-890f-26a6779161a6","year":2022},"citing_paper":{"arxiv_id":"2508.14318","last_updated":"2025-08-21T17:25:27Z","snapshot_observed_at":"2026-08-19T21:45:00.093571Z","submitted_at":"2025-08-20T00:04:06Z","title":"Power Stabilization for AI Training Datacenters","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T18:42:45.083505Z"},"links":{"citing_paper":"/paper/2508.14318"},"observation_digest":"sha256:8ed4412318ccf130c70891f2c7c73763b6e75c0b5ce27416f93c2983f29bdc7f","observation_id":"75d33f03-d4b5-4053-baad-f9f580cdc118","resolution":{"observed_at":"2026-08-05T18:42:46.875316Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-05T18:42:46.569933Z","title":"Characterizing power management opportunities for llms in the cloud","venue":null,"work_id":"e760018c-55dd-4784-98b8-6aa2896fbc7a","year":2024},"citing_paper":{"arxiv_id":"2508.14318","last_updated":"2025-08-21T17:25:27Z","snapshot_observed_at":"2026-08-19T21:45:00.093571Z","submitted_at":"2025-08-20T00:04:06Z","title":"Power Stabilization for AI Training Datacenters","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T18:42:45.187595Z"},"links":{"citing_paper":"/paper/2508.14318"},"observation_digest":"sha256:fbf336c03f9601684c60736499347a2ac2195a3a7ed9248e418ff76248fa8f35","observation_id":"f2961d18-e91a-4d70-ab70-51f1b2759cd2","resolution":{"observed_at":"2026-08-05T18:42:46.689942Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-05T18:42:46.373519Z","title":"Pilz, James Sanders, Robi Rahman, and Lennart Heim","venue":null,"work_id":"0f1f944d-d5fc-4ddf-950a-ce01a091556c","year":2025},"citing_paper":{"arxiv_id":"2508.14318","last_updated":"2025-08-21T17:25:27Z","snapshot_observed_at":"2026-08-19T21:45:00.093571Z","submitted_at":"2025-08-20T00:04:06Z","title":"Power Stabilization for AI Training Datacenters","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T18:42:45.293235Z"},"links":{"citing_paper":"/paper/2508.14318"},"observation_digest":"sha256:e6bdee83132f502c3e47eeceacba27b4e0606bd2097a5af95069d169942cf839","observation_id":"b26c2337-a9f3-49fb-811f-69128fd292b9","resolution":{"observed_at":"2026-08-05T18:42:46.466037Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1909.08053","last_updated":"2020-03-13T23:45:18Z","snapshot_observed_at":"2026-08-12T10:50:46.357243Z","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":"2026-08-05T18:42:45.378838Z","title":"Megatron-lm: Training multi-billion parameter language models using model parallelism","venue":null,"work_id":null,"year":1909},"citing_paper":{"arxiv_id":"2508.14318","last_updated":"2025-08-21T17:25:27Z","snapshot_observed_at":"2026-08-19T21:45:00.093571Z","submitted_at":"2025-08-20T00:04:06Z","title":"Power Stabilization for AI Training Datacenters","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T18:42:45.378838Z"},"links":{"cited_paper":"/paper/1909.08053","citing_paper":"/paper/2508.14318"},"observation_digest":"sha256:d8f1367609a15a9735ad1c1fafd386c238119cb44ca058b12a581e0b3245f194","observation_id":"643b31f4-664d-413d-b0c8-932a5bc5b3e5","resolution":{"observed_at":"2026-08-05T18:42:45.378838Z","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":"2026-08-05T18:42:46.167642Z","title":"Inside the 100k gpu xai colos- sus cluster that supermicro helped build for elon musk","venue":null,"work_id":"fdf4b3f1-ca29-4468-8c48-54dbe11f290e","year":2024},"citing_paper":{"arxiv_id":"2508.14318","last_updated":"2025-08-21T17:25:27Z","snapshot_observed_at":"2026-08-19T21:45:00.093571Z","submitted_at":"2025-08-20T00:04:06Z","title":"Power Stabilization for AI Training Datacenters","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T18:42:45.442947Z"},"links":{"citing_paper":"/paper/2508.14318"},"observation_digest":"sha256:2437b1c10d06c732e3c5bd1a108512781d4c94c8098b2b4eeb39ac7b158d87b1","observation_id":"59afdafe-f5ca-46b8-96d9-9f25cd600643","resolution":{"observed_at":"2026-08-05T18:42:46.262834Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-05T18:42:45.509334Z","title":"Llama: Open and efficient foundation language models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.14318","last_updated":"2025-08-21T17:25:27Z","snapshot_observed_at":"2026-08-19T21:45:00.093571Z","submitted_at":"2025-08-20T00:04:06Z","title":"Power Stabilization for AI Training Datacenters","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T18:42:45.509334Z"},"links":{"cited_paper":"/paper/2302.13971","citing_paper":"/paper/2508.14318"},"observation_digest":"sha256:2a1e1d79175e8ab42697d91d3363962d9cd8c58869832d2ed466997f49f2c083","observation_id":"4135d383-7ff7-40cb-bf08-19bb075f9452","resolution":{"observed_at":"2026-08-05T18:42:45.509334Z","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":"2026-08-05T18:42:45.978183Z","title":null,"venue":null,"work_id":"a1adcbaa-b189-4a8c-9056-0068e63a93b9","year":2017},"citing_paper":{"arxiv_id":"2508.14318","last_updated":"2025-08-21T17:25:27Z","snapshot_observed_at":"2026-08-19T21:45:00.093571Z","submitted_at":"2025-08-20T00:04:06Z","title":"Power Stabilization for AI Training Datacenters","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T18:42:45.599360Z"},"links":{"citing_paper":"/paper/2508.14318"},"observation_digest":"sha256:eb2e8d78847d9a1a0fdb9179005c0a9dd5d5884a1b7a50f48cbe6fd92ef31bc1","observation_id":"f3adef84-75a2-4734-bdf0-5a5f1e2d1f4d","resolution":{"observed_at":"2026-08-05T18:42:46.063433Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-05T18:42:45.809023Z","title":"Open release of grok-1: A 314b parameter mixture-of-experts model","venue":null,"work_id":"0d7f8183-62d4-4789-93e0-873a4c033e2d","year":2024},"citing_paper":{"arxiv_id":"2508.14318","last_updated":"2025-08-21T17:25:27Z","snapshot_observed_at":"2026-08-19T21:45:00.093571Z","submitted_at":"2025-08-20T00:04:06Z","title":"Power Stabilization for AI Training Datacenters","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T18:42:45.675305Z"},"links":{"citing_paper":"/paper/2508.14318"},"observation_digest":"sha256:c5fc0614cd17dcef48c0d9ba103eb805863eba6add48e6c28903ae7ecfa01728","observation_id":"3fb821e3-7d54-48db-a6c3-74514530584b","resolution":{"observed_at":"2026-08-05T18:42:45.900332Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2508.14318","last_updated":"2025-08-21T17:25:27Z","latest_version":2,"primary_category":"cs.AR","snapshot_observed_at":"2026-08-19T21:45:00.093571Z","submitted_at":"2025-08-20T00:04:06Z","title":"Power Stabilization for AI Training Datacenters"},"reference_resolution":{"displayed":23,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":5,"verified_exact":0,"verified_fuzzy":18},"total_outbound_references":23},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 29 inbound Pith citation observations for arXiv:2508.14318."}