{"as_of":"2026-08-17T09:22:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:aaade0b65af16686edd18360d66e4da225a6c0c22f6b7d429f5b0ce1e696408c","coverage":[{"denominator":50,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":50,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T15:01:22.410031Z","state":"measured"},{"denominator":51,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":51,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+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":"2026-08-15T17:51:05.804032Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-15T17:51:05.912328Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2608.03676","last_updated":"2026-08-04T13:50:22Z","snapshot_observed_at":"2026-08-17T03:47:20.361827Z","submitted_at":"2026-08-04T13:50:22Z","title":"TAOT: Topology-Aware Optimal Transport for Dynamic Expert Replica Placement in MoE Training","version":1},"cited_work":{"arxiv_id":"2608.03676","doi":null,"metadata_source":"pith","pith_arxiv_id":"2608.03676","snapshot_observed_at":"2026-08-15T17:51:05.912328Z","title":"TAOT: Topology-Aware Optimal Transport for Dynamic Expert Replica Placement in MoE Training","venue":"cs.DC","work_id":"29cc2616-8b15-42d6-8f02-2c089814b938","year":2026},"citing_paper":{"arxiv_id":"2608.13057","last_updated":"2026-08-14T07:00:29Z","snapshot_observed_at":"2026-08-17T04:09:58.172736Z","submitted_at":"2026-08-13T10:21:11Z","title":"TEMPO: Makespan-Aware Expert-Parallel Load Balancing Across Memory- and Compute-Bound Regimes","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-15T17:51:05.804032Z"},"links":{"cited_paper":"/paper/2608.03676","citing_paper":"/paper/2608.13057"},"observation_digest":"sha256:1026e1c5c64d8ac672afe20056c1351fcda46387d1a29aa0a174a84471c60c3d","observation_id":"503da9b6-7ba3-415c-b33c-8055efee9999","resolution":{"observed_at":"2026-08-15T17:51:05.926421Z","resolver_source":"local_arxiv","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2608.03676/citation-record","integrity":"/paper/2608.03676/integrity","json":"/paper/2608.03676/citation-record.json","paper":"/paper/2608.03676"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:01:22.879200Z","title":null,"venue":null,"work_id":"a9aba86b-1775-493b-9488-9a5e03f5a73c","year":2025},"citing_paper":{"arxiv_id":"2608.03676","last_updated":"2026-08-04T13:50:22Z","snapshot_observed_at":"2026-08-17T03:47:20.361827Z","submitted_at":"2026-08-04T13:50:22Z","title":"TAOT: Topology-Aware Optimal Transport for Dynamic Expert Replica Placement in MoE Training","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-05T15:01:22.257893Z"},"links":{"citing_paper":"/paper/2608.03676"},"observation_digest":"sha256:83ca7d803e0052b63af3c9fcb6a8317bfa88fa5430a557876ad76124a1b0f978","observation_id":"7aa33bd7-07a4-43cd-89a6-39fe3c18c50f","resolution":{"observed_at":"2026-08-05T15:01:22.881847Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T15:01:22.872387Z","title":null,"venue":null,"work_id":"19295b85-040f-4127-b2f7-6178aaa1e333","year":2025},"citing_paper":{"arxiv_id":"2608.03676","last_updated":"2026-08-04T13:50:22Z","snapshot_observed_at":"2026-08-17T03:47:20.361827Z","submitted_at":"2026-08-04T13:50:22Z","title":"TAOT: Topology-Aware Optimal Transport for Dynamic Expert Replica Placement in MoE Training","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-05T15:01:22.260904Z"},"links":{"citing_paper":"/paper/2608.03676"},"observation_digest":"sha256:c2be179dbcc1beb11a39635a1c355d8b6837699a527361633d2e36291f2cfc16","observation_id":"8960c92c-07ae-4340-9c79-d272cd251ec1","resolution":{"observed_at":"2026-08-05T15:01:22.874867Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T15:01:22.865968Z","title":null,"venue":null,"work_id":"7b1c2fe2-1f3f-417a-b5a3-d190074a571d","year":2022},"citing_paper":{"arxiv_id":"2608.03676","last_updated":"2026-08-04T13:50:22Z","snapshot_observed_at":"2026-08-17T03:47:20.361827Z","submitted_at":"2026-08-04T13:50:22Z","title":"TAOT: Topology-Aware Optimal Transport for Dynamic Expert Replica Placement in MoE Training","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-05T15:01:22.263953Z"},"links":{"citing_paper":"/paper/2608.03676"},"observation_digest":"sha256:7bc25021a0ae2fc49abf616b54a29d267fa412379718745b9dd20dad82c0f3c4","observation_id":"448e49b2-c18d-4393-b97d-a62227b27fd0","resolution":{"observed_at":"2026-08-05T15:01:22.868324Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T15:01:22.859292Z","title":null,"venue":null,"work_id":"b2fe3429-e3f1-4a01-b8ab-d6ca2c04f9ba","year":2022},"citing_paper":{"arxiv_id":"2608.03676","last_updated":"2026-08-04T13:50:22Z","snapshot_observed_at":"2026-08-17T03:47:20.361827Z","submitted_at":"2026-08-04T13:50:22Z","title":"TAOT: Topology-Aware Optimal Transport for Dynamic Expert Replica Placement in MoE Training","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-05T15:01:22.266916Z"},"links":{"citing_paper":"/paper/2608.03676"},"observation_digest":"sha256:ed301d04b5a9b9aae5dda4702fc3398b21bc5c0720cb1b341089a463a3242cf6","observation_id":"d4b437a2-d214-427b-acb2-2721a1757481","resolution":{"observed_at":"2026-08-05T15:01:22.861686Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T15:01:22.852444Z","title":null,"venue":null,"work_id":"bba128ed-f147-4af5-b780-8f96478aacb0","year":2022},"citing_paper":{"arxiv_id":"2608.03676","last_updated":"2026-08-04T13:50:22Z","snapshot_observed_at":"2026-08-17T03:47:20.361827Z","submitted_at":"2026-08-04T13:50:22Z","title":"TAOT: Topology-Aware Optimal Transport for Dynamic Expert Replica Placement in MoE Training","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-05T15:01:22.273414Z"},"links":{"citing_paper":"/paper/2608.03676"},"observation_digest":"sha256:a435ba72da191ecce4e732682e635ff6324c590aa9abda204c59b110eddf79f6","observation_id":"c2187ea4-3217-43ec-9549-10e41f105554","resolution":{"observed_at":"2026-08-05T15:01:22.855099Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T15:01:22.845643Z","title":null,"venue":null,"work_id":"a17bd8eb-4c28-4c38-8052-25735516d49d","year":2023},"citing_paper":{"arxiv_id":"2608.03676","last_updated":"2026-08-04T13:50:22Z","snapshot_observed_at":"2026-08-17T03:47:20.361827Z","submitted_at":"2026-08-04T13:50:22Z","title":"TAOT: Topology-Aware Optimal Transport for Dynamic Expert Replica Placement in MoE Training","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-05T15:01:22.276262Z"},"links":{"citing_paper":"/paper/2608.03676"},"observation_digest":"sha256:3c410a585093b4d9b964be90b2998d2dae5fd9cb84366deb78ce95de3e8ec29b","observation_id":"282ee806-0fa9-4180-8193-ea93db5f1500","resolution":{"observed_at":"2026-08-05T15:01:22.848288Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T15:01:22.839051Z","title":null,"venue":null,"work_id":"a0b3e454-9ec8-4ed8-8cfc-9ed6a8a7b8c8","year":2021},"citing_paper":{"arxiv_id":"2608.03676","last_updated":"2026-08-04T13:50:22Z","snapshot_observed_at":"2026-08-17T03:47:20.361827Z","submitted_at":"2026-08-04T13:50:22Z","title":"TAOT: Topology-Aware Optimal Transport for Dynamic Expert Replica Placement in MoE Training","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-05T15:01:22.285348Z"},"links":{"citing_paper":"/paper/2608.03676"},"observation_digest":"sha256:bc8f2475463bcc59740809af62058013c99ef658ea3dc062bf9dec811172afcd","observation_id":"7100e71c-760d-4c73-ac46-053b34d59c23","resolution":{"observed_at":"2026-08-05T15:01:22.841315Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T15:01:22.832473Z","title":null,"venue":null,"work_id":"c59bed32-a556-45ac-b7ff-100431781df1","year":2021},"citing_paper":{"arxiv_id":"2608.03676","last_updated":"2026-08-04T13:50:22Z","snapshot_observed_at":"2026-08-17T03:47:20.361827Z","submitted_at":"2026-08-04T13:50:22Z","title":"TAOT: Topology-Aware Optimal Transport for Dynamic Expert Replica Placement in MoE Training","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-05T15:01:22.288197Z"},"links":{"citing_paper":"/paper/2608.03676"},"observation_digest":"sha256:35fb476887c2eaa9217c1fe12e06455cba895baf0bd4bea4b99adb56ed22fa35","observation_id":"efe6015d-f5b2-4b32-89a4-9be73b089747","resolution":{"observed_at":"2026-08-05T15:01:22.834936Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T15:01:22.825806Z","title":null,"venue":null,"work_id":"b9a40912-bacd-4919-a470-638d12a34514","year":2026},"citing_paper":{"arxiv_id":"2608.03676","last_updated":"2026-08-04T13:50:22Z","snapshot_observed_at":"2026-08-17T03:47:20.361827Z","submitted_at":"2026-08-04T13:50:22Z","title":"TAOT: Topology-Aware Optimal Transport for Dynamic Expert Replica Placement in MoE Training","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-05T15:01:22.294054Z"},"links":{"citing_paper":"/paper/2608.03676"},"observation_digest":"sha256:0b8e7d3b8a4e699d1639eb82474cda65a8a164807764556adb98bbf343f960a5","observation_id":"8a445aa6-8cff-4261-9387-768ad2c0b152","resolution":{"observed_at":"2026-08-05T15:01:22.828403Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T15:01:22.819039Z","title":null,"venue":null,"work_id":"e271f6f0-9283-4d27-93fe-156ba7950444","year":2026},"citing_paper":{"arxiv_id":"2608.03676","last_updated":"2026-08-04T13:50:22Z","snapshot_observed_at":"2026-08-17T03:47:20.361827Z","submitted_at":"2026-08-04T13:50:22Z","title":"TAOT: Topology-Aware Optimal Transport for Dynamic Expert Replica Placement in MoE Training","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-05T15:01:22.296793Z"},"links":{"citing_paper":"/paper/2608.03676"},"observation_digest":"sha256:6452967e91a4ac7617ea8bd6e51b6bd4b8b4383fdc7f7d0e81f125cd45541d40","observation_id":"1c68c242-440b-4235-a959-aebc119f0d4a","resolution":{"observed_at":"2026-08-05T15:01:22.821490Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T15:01:22.812073Z","title":null,"venue":null,"work_id":"252fe8a4-6212-4e29-9a79-7c3cac5dea68","year":2025},"citing_paper":{"arxiv_id":"2608.03676","last_updated":"2026-08-04T13:50:22Z","snapshot_observed_at":"2026-08-17T03:47:20.361827Z","submitted_at":"2026-08-04T13:50:22Z","title":"TAOT: Topology-Aware Optimal Transport for Dynamic Expert Replica Placement in MoE Training","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-05T15:01:22.299523Z"},"links":{"citing_paper":"/paper/2608.03676"},"observation_digest":"sha256:a79c186fe879930995b853e4e36edca15e43ec6fde95f40c170e9beb2976eb27","observation_id":"87dd0cf8-8141-466c-b799-b8dbba56a159","resolution":{"observed_at":"2026-08-05T15:01:22.814737Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T15:01:22.805121Z","title":"Y.; Awan, A","venue":null,"work_id":"3ee7769a-bf7d-47a8-9fb1-f3ef89fdadcb","year":2022},"citing_paper":{"arxiv_id":"2608.03676","last_updated":"2026-08-04T13:50:22Z","snapshot_observed_at":"2026-08-17T03:47:20.361827Z","submitted_at":"2026-08-04T13:50:22Z","title":"TAOT: Topology-Aware Optimal Transport for Dynamic Expert Replica Placement in MoE Training","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-05T15:01:22.305352Z"},"links":{"citing_paper":"/paper/2608.03676"},"observation_digest":"sha256:cffe8f467c1fd6446365f3089c3662f95e62a263ebde5e17717cbbbd16d36a86","observation_id":"5ecc8c28-ba2d-4a48-a408-a6a52bcfc910","resolution":{"observed_at":"2026-08-05T15:01:22.807720Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T15:01:22.798238Z","title":null,"venue":null,"work_id":"a9a16620-eff5-4c14-9f8c-2b356ccb3c93","year":2021},"citing_paper":{"arxiv_id":"2608.03676","last_updated":"2026-08-04T13:50:22Z","snapshot_observed_at":"2026-08-17T03:47:20.361827Z","submitted_at":"2026-08-04T13:50:22Z","title":"TAOT: Topology-Aware Optimal Transport for Dynamic Expert Replica Placement in MoE Training","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-05T15:01:22.308001Z"},"links":{"citing_paper":"/paper/2608.03676"},"observation_digest":"sha256:5290c8668de5ce87db493fea0f46a9afd75d3c7d124c50ad46c4a576c1b18b2a","observation_id":"43c424ff-b377-4f56-9e94-838aaf6dfffc","resolution":{"observed_at":"2026-08-05T15:01:22.800697Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T15:01:22.791212Z","title":null,"venue":null,"work_id":"a0ea8e02-6334-4301-98a6-2608c9e4c799","year":2017},"citing_paper":{"arxiv_id":"2608.03676","last_updated":"2026-08-04T13:50:22Z","snapshot_observed_at":"2026-08-17T03:47:20.361827Z","submitted_at":"2026-08-04T13:50:22Z","title":"TAOT: Topology-Aware Optimal Transport for Dynamic Expert Replica Placement in MoE Training","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-05T15:01:22.310686Z"},"links":{"citing_paper":"/paper/2608.03676"},"observation_digest":"sha256:dcf1cc587abbfadcbd9546399e9a1c6fb50be744f6f8247ae7260285486d2cea","observation_id":"68dc3fa1-c517-40c3-be95-ea5d5f1794b2","resolution":{"observed_at":"2026-08-05T15:01:22.793725Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T15:01:22.784267Z","title":null,"venue":null,"work_id":"42b74ef5-5d49-45a9-b082-341866980659","year":2026},"citing_paper":{"arxiv_id":"2608.03676","last_updated":"2026-08-04T13:50:22Z","snapshot_observed_at":"2026-08-17T03:47:20.361827Z","submitted_at":"2026-08-04T13:50:22Z","title":"TAOT: Topology-Aware Optimal Transport for Dynamic Expert Replica Placement in MoE Training","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-05T15:01:22.316703Z"},"links":{"citing_paper":"/paper/2608.03676"},"observation_digest":"sha256:2ff4137266071f2d3887601c2a313812d2db5f424a5f073b328363257b0cc2a6","observation_id":"de49fd4a-6969-423b-88b2-3503a73b2788","resolution":{"observed_at":"2026-08-05T15:01:22.786705Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T15:01:22.777240Z","title":"N.; Kaiser, L.; and Polosukhin, I","venue":null,"work_id":"c6f46fb0-9fe7-4079-9e70-d79b6b3d1c62","year":2017},"citing_paper":{"arxiv_id":"2608.03676","last_updated":"2026-08-04T13:50:22Z","snapshot_observed_at":"2026-08-17T03:47:20.361827Z","submitted_at":"2026-08-04T13:50:22Z","title":"TAOT: Topology-Aware Optimal Transport for Dynamic Expert Replica Placement in MoE Training","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-05T15:01:22.319427Z"},"links":{"citing_paper":"/paper/2608.03676"},"observation_digest":"sha256:88081e22fb702f3cd5dedadf437b5ce1c9441a08e7db14f2994f22fd71b6f27b","observation_id":"6316b296-5a5f-4fc9-b152-9c968c471c86","resolution":{"observed_at":"2026-08-05T15:01:22.779978Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T15:01:22.769530Z","title":null,"venue":null,"work_id":"ad206a36-090e-4659-9d45-5dfbfb3897de","year":2026},"citing_paper":{"arxiv_id":"2608.03676","last_updated":"2026-08-04T13:50:22Z","snapshot_observed_at":"2026-08-17T03:47:20.361827Z","submitted_at":"2026-08-04T13:50:22Z","title":"TAOT: Topology-Aware Optimal Transport for Dynamic Expert Replica Placement in MoE Training","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-05T15:01:22.322196Z"},"links":{"citing_paper":"/paper/2608.03676"},"observation_digest":"sha256:05c4bce4e0cb1f58bf1633db117e08398fcf76cba059f40cd606780bc9569351","observation_id":"eb75000f-e923-45dd-b8fb-fd3f298fcb47","resolution":{"observed_at":"2026-08-05T15:01:22.772412Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T15:01:22.762173Z","title":null,"venue":null,"work_id":"509b3e7c-98d5-43e8-a139-d26bc99d1e06","year":2025},"citing_paper":{"arxiv_id":"2608.03676","last_updated":"2026-08-04T13:50:22Z","snapshot_observed_at":"2026-08-17T03:47:20.361827Z","submitted_at":"2026-08-04T13:50:22Z","title":"TAOT: Topology-Aware Optimal Transport for Dynamic Expert Replica Placement in MoE Training","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-05T15:01:22.328090Z"},"links":{"citing_paper":"/paper/2608.03676"},"observation_digest":"sha256:38f5c0c4462b87929652d454ade0b9aaa821c58f7ef654150103f5852ee90828","observation_id":"6773710d-962c-49c0-a1c6-722b58799c64","resolution":{"observed_at":"2026-08-05T15:01:22.764704Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T15:01:22.754982Z","title":null,"venue":null,"work_id":"fb4562c4-67d3-41ba-bcee-b0dc38fc6f92","year":2023},"citing_paper":{"arxiv_id":"2608.03676","last_updated":"2026-08-04T13:50:22Z","snapshot_observed_at":"2026-08-17T03:47:20.361827Z","submitted_at":"2026-08-04T13:50:22Z","title":"TAOT: Topology-Aware Optimal Transport for Dynamic Expert Replica Placement in MoE Training","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-05T15:01:22.330545Z"},"links":{"citing_paper":"/paper/2608.03676"},"observation_digest":"sha256:85b15984705419e73ae8d11ef50b985eae183cc30f0ede071462bd91a9c60ebe","observation_id":"b8f3df34-dd94-480f-9411-f57c92441480","resolution":{"observed_at":"2026-08-05T15:01:22.757583Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T15:01:22.747531Z","title":null,"venue":null,"work_id":"1fd78d1d-7474-490a-83d7-7eda2926d0eb","year":2026},"citing_paper":{"arxiv_id":"2608.03676","last_updated":"2026-08-04T13:50:22Z","snapshot_observed_at":"2026-08-17T03:47:20.361827Z","submitted_at":"2026-08-04T13:50:22Z","title":"TAOT: Topology-Aware Optimal Transport for Dynamic Expert Replica Placement in MoE Training","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-05T15:01:22.333050Z"},"links":{"citing_paper":"/paper/2608.03676"},"observation_digest":"sha256:c9be177138b241cb75981bddc94a8ae304c8d5d4ca4928e806e2534725101bcd","observation_id":"757057d8-2f7a-4ca2-9c27-04cfec5a2d8c","resolution":{"observed_at":"2026-08-05T15:01:22.750212Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T15:01:22.740252Z","title":"M.; Chen, Z.; Le, Q","venue":null,"work_id":"cf3ff8c4-155a-403b-bd67-66abcd8fbe86","year":2022},"citing_paper":{"arxiv_id":"2608.03676","last_updated":"2026-08-04T13:50:22Z","snapshot_observed_at":"2026-08-17T03:47:20.361827Z","submitted_at":"2026-08-04T13:50:22Z","title":"TAOT: Topology-Aware Optimal Transport for Dynamic Expert Replica Placement in MoE Training","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-05T15:01:22.337884Z"},"links":{"citing_paper":"/paper/2608.03676"},"observation_digest":"sha256:71e5f5a360fbb04988d4091418c1bae3db9c09e3969778c6f93ae454bcec5554","observation_id":"6a07238c-e408-4605-94af-2fccf56a7537","resolution":{"observed_at":"2026-08-05T15:01:22.742775Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T15:01:22.732939Z","title":"and Kaiser, Lukasz and Polosukhin, Illia , title =","venue":null,"work_id":"3335bf92-426a-4ec7-a761-da35807fbfdf","year":null},"citing_paper":{"arxiv_id":"2608.03676","last_updated":"2026-08-04T13:50:22Z","snapshot_observed_at":"2026-08-17T03:47:20.361827Z","submitted_at":"2026-08-04T13:50:22Z","title":"TAOT: Topology-Aware Optimal Transport for Dynamic Expert Replica Placement in MoE Training","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-05T15:01:22.343098Z"},"links":{"citing_paper":"/paper/2608.03676"},"observation_digest":"sha256:0c2e051568551453979368f303716a9099a173062f41db35271f3d843a72ba7c","observation_id":"0aaa6e46-06e5-45d8-aa34-ca94093f7499","resolution":{"observed_at":"2026-08-05T15:01:22.735809Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T15:01:22.345880Z","title":"International Conference on Learning Representations (ICLR) , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.03676","last_updated":"2026-08-04T13:50:22Z","snapshot_observed_at":"2026-08-17T03:47:20.361827Z","submitted_at":"2026-08-04T13:50:22Z","title":"TAOT: Topology-Aware Optimal Transport for Dynamic Expert Replica Placement in MoE Training","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-05T15:01:22.345880Z"},"links":{"citing_paper":"/paper/2608.03676"},"observation_digest":"sha256:c7584e8fa8bed6008856e8107a12da2b96f3227ddb42cac0957d459482b88ff8","observation_id":"0ad2c1a0-0bcb-41ab-a9f8-41aada983522","resolution":{"observed_at":"2026-08-05T15:01:22.345880Z","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":"2026-08-05T15:01:22.722012Z","title":"International Conference on Learning Representations (ICLR) , year =","venue":null,"work_id":"65fb55d0-2822-4a0d-bce1-0a997ed9cc99","year":null},"citing_paper":{"arxiv_id":"2608.03676","last_updated":"2026-08-04T13:50:22Z","snapshot_observed_at":"2026-08-17T03:47:20.361827Z","submitted_at":"2026-08-04T13:50:22Z","title":"TAOT: Topology-Aware Optimal Transport for Dynamic Expert Replica Placement in MoE Training","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-05T15:01:22.348476Z"},"links":{"citing_paper":"/paper/2608.03676"},"observation_digest":"sha256:f7d9bd3127f844839c8aa8615a5e843ffe8c9c1ef2c84195fd980c9f2ea0cc18","observation_id":"b8636ac4-3428-41cc-a3cc-085255550d34","resolution":{"observed_at":"2026-08-05T15:01:22.724666Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T15:01:22.351046Z","title":"Journal of Machine Learning Research , volume =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.03676","last_updated":"2026-08-04T13:50:22Z","snapshot_observed_at":"2026-08-17T03:47:20.361827Z","submitted_at":"2026-08-04T13:50:22Z","title":"TAOT: Topology-Aware Optimal Transport for Dynamic Expert Replica Placement in MoE Training","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-05T15:01:22.351046Z"},"links":{"citing_paper":"/paper/2608.03676"},"observation_digest":"sha256:7bfe171926698957e9e2e822c1a76a8df8a7809f0c11dd718f16bc58ec6f8073","observation_id":"cb52137a-f855-493e-8d0b-f366afcf3487","resolution":{"observed_at":"2026-08-05T15:01:22.351046Z","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":"2026-08-05T15:01:22.711073Z","title":"IEEE Transactions on Knowledge and Data Engineering , year =","venue":null,"work_id":"329e9551-eb9e-4580-befe-699c96b8842a","year":null},"citing_paper":{"arxiv_id":"2608.03676","last_updated":"2026-08-04T13:50:22Z","snapshot_observed_at":"2026-08-17T03:47:20.361827Z","submitted_at":"2026-08-04T13:50:22Z","title":"TAOT: Topology-Aware Optimal Transport for Dynamic Expert Replica Placement in MoE Training","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-05T15:01:22.353567Z"},"links":{"citing_paper":"/paper/2608.03676"},"observation_digest":"sha256:7cfce90fb6bb03baf94b1219e89ec935b6507269fa06f6908a3323afb8dca419","observation_id":"c5d150df-2104-4b02-a124-d3636f95d227","resolution":{"observed_at":"2026-08-05T15:01:22.713523Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T15:01:22.704475Z","title":"International Conference on Machine Learning (ICML) , pages =","venue":null,"work_id":"3428fd0f-692f-4864-ada6-adab4502324e","year":null},"citing_paper":{"arxiv_id":"2608.03676","last_updated":"2026-08-04T13:50:22Z","snapshot_observed_at":"2026-08-17T03:47:20.361827Z","submitted_at":"2026-08-04T13:50:22Z","title":"TAOT: Topology-Aware Optimal Transport for Dynamic Expert Replica Placement in MoE Training","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-05T15:01:22.356060Z"},"links":{"citing_paper":"/paper/2608.03676"},"observation_digest":"sha256:381169fea02cd7f8dc6cea6387f5a0d0e5ca363b155d4ff3034065f875c4cb4e","observation_id":"d439e49a-0eaa-423a-80eb-c48510a6246f","resolution":{"observed_at":"2026-08-05T15:01:22.706959Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.04088","last_updated":"2024-01-08T18:47:34Z","snapshot_observed_at":"2026-08-13T19:43:49.936776Z","submitted_at":"2024-01-08T18:47:34Z","title":"Mixtral of Experts","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.04088","snapshot_observed_at":"2026-08-05T15:01:22.358738Z","title":"and others , title =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.03676","last_updated":"2026-08-04T13:50:22Z","snapshot_observed_at":"2026-08-17T03:47:20.361827Z","submitted_at":"2026-08-04T13:50:22Z","title":"TAOT: Topology-Aware Optimal Transport for Dynamic Expert Replica Placement in MoE Training","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-05T15:01:22.358738Z"},"links":{"cited_paper":"/paper/2401.04088","citing_paper":"/paper/2608.03676"},"observation_digest":"sha256:37909dade3eb0b301845742b73d735e5506f07f1cf3484629dcb16951bd9cde2","observation_id":"439b27f9-4517-4baf-8674-462e277854e9","resolution":{"observed_at":"2026-08-05T15:01:22.358738Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.19437","last_updated":"2025-02-18T17:26:38Z","snapshot_observed_at":"2026-08-15T17:27:11.980940Z","submitted_at":"2024-12-27T04:03:16Z","title":"DeepSeek-V3 Technical Report","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.19437","snapshot_observed_at":"2026-08-05T15:01:22.360955Z","title":"arXiv preprint arXiv:2412.19437 , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.03676","last_updated":"2026-08-04T13:50:22Z","snapshot_observed_at":"2026-08-17T03:47:20.361827Z","submitted_at":"2026-08-04T13:50:22Z","title":"TAOT: Topology-Aware Optimal Transport for Dynamic Expert Replica Placement in MoE Training","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-05T15:01:22.360955Z"},"links":{"cited_paper":"/paper/2412.19437","citing_paper":"/paper/2608.03676"},"observation_digest":"sha256:6e8bcb1c4294cf9e2e42c1d07e9b961cd1defb8a033854b53d760592c3298916","observation_id":"fe332b99-3cd4-49ec-b2c5-6fc23e637e7d","resolution":{"observed_at":"2026-08-05T15:01:22.360955Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.09388","last_updated":"2025-05-14T13:41:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-05-14T13:41:34Z","title":"Qwen3 Technical Report","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.09388","snapshot_observed_at":"2026-08-05T15:01:22.363143Z","title":"arXiv preprint arXiv:2505.09388 , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.03676","last_updated":"2026-08-04T13:50:22Z","snapshot_observed_at":"2026-08-17T03:47:20.361827Z","submitted_at":"2026-08-04T13:50:22Z","title":"TAOT: Topology-Aware Optimal Transport for Dynamic Expert Replica Placement in MoE Training","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-05T15:01:22.363143Z"},"links":{"cited_paper":"/paper/2505.09388","citing_paper":"/paper/2608.03676"},"observation_digest":"sha256:d7b09d6b9b550ebe35c19ac96eab5926fefcf039d6efd70d35d4bde1fe5af8fe","observation_id":"7979f0c0-cffe-4b46-9fe5-d3606f272290","resolution":{"observed_at":"2026-08-05T15:01:22.363143Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2507.20534","last_updated":"2026-02-03T04:57:00Z","snapshot_observed_at":"2026-08-16T14:37:33.548231Z","submitted_at":"2025-07-28T05:35:43Z","title":"Kimi K2: Open Agentic Intelligence","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.20534","snapshot_observed_at":"2026-08-05T15:01:22.365271Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.03676","last_updated":"2026-08-04T13:50:22Z","snapshot_observed_at":"2026-08-17T03:47:20.361827Z","submitted_at":"2026-08-04T13:50:22Z","title":"TAOT: Topology-Aware Optimal Transport for Dynamic Expert Replica Placement in MoE Training","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-05T15:01:22.365271Z"},"links":{"cited_paper":"/paper/2507.20534","citing_paper":"/paper/2608.03676"},"observation_digest":"sha256:c999d8981d708b733d946eabd71dfa04ee03f63bd076bc122dd489fb4e78ded8","observation_id":"99857d89-cd6a-443f-9948-5440789a7e21","resolution":{"observed_at":"2026-08-05T15:01:22.365271Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:01:22.367760Z","title":"arXiv preprint arXiv:2601.11659 , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.03676","last_updated":"2026-08-04T13:50:22Z","snapshot_observed_at":"2026-08-17T03:47:20.361827Z","submitted_at":"2026-08-04T13:50:22Z","title":"TAOT: Topology-Aware Optimal Transport for Dynamic Expert Replica Placement in MoE Training","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-05T15:01:22.367760Z"},"links":{"citing_paper":"/paper/2608.03676"},"observation_digest":"sha256:8132fb9b84039fcf328ef84b2696ca0b98b803cd77e9a35041785bd9c695e30c","observation_id":"1df303ff-8222-4feb-8b57-73cc72f33c23","resolution":{"observed_at":"2026-08-05T15:01:22.367760Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1909.08053","last_updated":"2020-03-13T23:45:18Z","snapshot_observed_at":"2026-08-12T10:50:46.357243Z","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":"2026-08-05T15:01:22.369969Z","title":"arXiv preprint arXiv:1909.08053 , year =","venue":null,"work_id":null,"year":1909},"citing_paper":{"arxiv_id":"2608.03676","last_updated":"2026-08-04T13:50:22Z","snapshot_observed_at":"2026-08-17T03:47:20.361827Z","submitted_at":"2026-08-04T13:50:22Z","title":"TAOT: Topology-Aware Optimal Transport for Dynamic Expert Replica Placement in MoE Training","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-05T15:01:22.369969Z"},"links":{"cited_paper":"/paper/1909.08053","citing_paper":"/paper/2608.03676"},"observation_digest":"sha256:38c1d246020cdc5f003a3a2a7fdb353d523ff31b0bdf89697f95aca36ac628f0","observation_id":"59c3572b-5d96-42ac-81a9-4144c7266300","resolution":{"observed_at":"2026-08-05T15:01:22.369969Z","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":"2026-08-05T15:01:22.697423Z","title":"International Conference on Machine Learning (ICML) , pages =","venue":null,"work_id":"c3796bbb-256f-494d-8123-ea2a8fad9ddd","year":null},"citing_paper":{"arxiv_id":"2608.03676","last_updated":"2026-08-04T13:50:22Z","snapshot_observed_at":"2026-08-17T03:47:20.361827Z","submitted_at":"2026-08-04T13:50:22Z","title":"TAOT: Topology-Aware Optimal Transport for Dynamic Expert Replica Placement in MoE Training","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-05T15:01:22.372277Z"},"links":{"citing_paper":"/paper/2608.03676"},"observation_digest":"sha256:a05e676a1ffe8d223e5835db2bc3f199a94b962ae5c51fea68ea4cf323033af8","observation_id":"85404f69-a38e-4566-93af-569a58ea4b01","resolution":{"observed_at":"2026-08-05T15:01:22.699831Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T15:01:22.690633Z","title":"Proceedings of Machine Learning and Systems , volume =","venue":null,"work_id":"8cc5ebb1-e2c6-4693-a3b4-ae4cd5f43d7c","year":null},"citing_paper":{"arxiv_id":"2608.03676","last_updated":"2026-08-04T13:50:22Z","snapshot_observed_at":"2026-08-17T03:47:20.361827Z","submitted_at":"2026-08-04T13:50:22Z","title":"TAOT: Topology-Aware Optimal Transport for Dynamic Expert Replica Placement in MoE Training","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-05T15:01:22.374551Z"},"links":{"citing_paper":"/paper/2608.03676"},"observation_digest":"sha256:39ea2de9d88a00ba3cfc8d9bacd1e2dbffc3df4c7db8cbe491a5cbd5dc3bb80c","observation_id":"6cd5e418-e334-4d80-813e-daae862bde3d","resolution":{"observed_at":"2026-08-05T15:01:22.693086Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T15:01:22.683851Z","title":"Proceedings of the 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP) , pages =","venue":null,"work_id":"1d7d0e73-34a4-41f2-bb95-618ff0ba1e1c","year":null},"citing_paper":{"arxiv_id":"2608.03676","last_updated":"2026-08-04T13:50:22Z","snapshot_observed_at":"2026-08-17T03:47:20.361827Z","submitted_at":"2026-08-04T13:50:22Z","title":"TAOT: Topology-Aware Optimal Transport for Dynamic Expert Replica Placement in MoE Training","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-05T15:01:22.376887Z"},"links":{"citing_paper":"/paper/2608.03676"},"observation_digest":"sha256:85475232cb690c6d1bc340838f8eaf3f87c45b7deeb94fa3759e2027bbe5483c","observation_id":"0258b81e-1230-41de-a806-81b480919d7e","resolution":{"observed_at":"2026-08-05T15:01:22.686459Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T15:01:22.676893Z","title":"International Conference on Machine Learning (ICML) , year =","venue":null,"work_id":"8fff02bc-2342-461e-91e5-32626956bcde","year":null},"citing_paper":{"arxiv_id":"2608.03676","last_updated":"2026-08-04T13:50:22Z","snapshot_observed_at":"2026-08-17T03:47:20.361827Z","submitted_at":"2026-08-04T13:50:22Z","title":"TAOT: Topology-Aware Optimal Transport for Dynamic Expert Replica Placement in MoE Training","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-05T15:01:22.378999Z"},"links":{"citing_paper":"/paper/2608.03676"},"observation_digest":"sha256:ef9a38b0459e68d8c05b507278ca9df6d7a80570949d5a95ab3ca31581e3f62d","observation_id":"03963f3c-a89e-48d7-b49f-38fdcaa37e8b","resolution":{"observed_at":"2026-08-05T15:01:22.679425Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T15:01:22.670044Z","title":"USENIX Symposium on Networked Systems Design and Implementation (NSDI) , pages =","venue":null,"work_id":"e29c0007-28a6-4d0e-a27f-4a47e6312ee0","year":null},"citing_paper":{"arxiv_id":"2608.03676","last_updated":"2026-08-04T13:50:22Z","snapshot_observed_at":"2026-08-17T03:47:20.361827Z","submitted_at":"2026-08-04T13:50:22Z","title":"TAOT: Topology-Aware Optimal Transport for Dynamic Expert Replica Placement in MoE Training","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-05T15:01:22.381126Z"},"links":{"citing_paper":"/paper/2608.03676"},"observation_digest":"sha256:d2a8f2b2f5ea4e06412f4a5f0caf39176a7cd88e5dd6be8c952d29879073c4bb","observation_id":"8ff2174c-413e-49fb-bd95-f585c2771d52","resolution":{"observed_at":"2026-08-05T15:01:22.672508Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2202.08906","last_updated":"2022-04-29T23:24:20Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-02-17T21:39:10Z","title":"ST-MoE: Designing Stable and Transferable Sparse Expert Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.08906","snapshot_observed_at":"2026-08-05T15:01:22.383444Z","title":"arXiv preprint arXiv:2202.08906 , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.03676","last_updated":"2026-08-04T13:50:22Z","snapshot_observed_at":"2026-08-17T03:47:20.361827Z","submitted_at":"2026-08-04T13:50:22Z","title":"TAOT: Topology-Aware Optimal Transport for Dynamic Expert Replica Placement in MoE Training","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-05T15:01:22.383444Z"},"links":{"cited_paper":"/paper/2202.08906","citing_paper":"/paper/2608.03676"},"observation_digest":"sha256:14352623938fdb5c4f042be1fe442c2e71fb96cf6115e24b42a93f7290624e2f","observation_id":"d533dca4-6b19-407a-802f-78ab28ed3c20","resolution":{"observed_at":"2026-08-05T15:01:22.383444Z","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":"2026-08-05T15:01:22.663387Z","title":"and Chen, Zhifeng and Le, Quoc V","venue":null,"work_id":"de46746b-f78e-4497-ae73-57325c9e35cb","year":null},"citing_paper":{"arxiv_id":"2608.03676","last_updated":"2026-08-04T13:50:22Z","snapshot_observed_at":"2026-08-17T03:47:20.361827Z","submitted_at":"2026-08-04T13:50:22Z","title":"TAOT: Topology-Aware Optimal Transport for Dynamic Expert Replica Placement in MoE Training","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-05T15:01:22.386421Z"},"links":{"citing_paper":"/paper/2608.03676"},"observation_digest":"sha256:1a65805ae2d4dfeb88921434fb20463bca5cbadf04d02b95b9a122b04e477301","observation_id":"0a32e5f9-01cc-4387-844d-9c464538d024","resolution":{"observed_at":"2026-08-05T15:01:22.665810Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T15:01:22.656359Z","title":"2023 USENIX Annual Technical Conference (USENIX ATC 23) , pages =","venue":null,"work_id":"a9be37c3-344e-42bf-a9b0-acbb53546f7c","year":2023},"citing_paper":{"arxiv_id":"2608.03676","last_updated":"2026-08-04T13:50:22Z","snapshot_observed_at":"2026-08-17T03:47:20.361827Z","submitted_at":"2026-08-04T13:50:22Z","title":"TAOT: Topology-Aware Optimal Transport for Dynamic Expert Replica Placement in MoE Training","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-05T15:01:22.388937Z"},"links":{"citing_paper":"/paper/2608.03676"},"observation_digest":"sha256:f8ae45724199ee1861b4e6c7d672b100365ecaf8856edeb92b44b13c7c8ce735","observation_id":"42078643-effa-4728-be9a-47b325f482c9","resolution":{"observed_at":"2026-08-05T15:01:22.659160Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T15:01:22.649245Z","title":"IEEE Transactions on Parallel and Distributed Systems , volume =","venue":null,"work_id":"dec8d6dd-2190-4887-b595-af522d876ff8","year":null},"citing_paper":{"arxiv_id":"2608.03676","last_updated":"2026-08-04T13:50:22Z","snapshot_observed_at":"2026-08-17T03:47:20.361827Z","submitted_at":"2026-08-04T13:50:22Z","title":"TAOT: Topology-Aware Optimal Transport for Dynamic Expert Replica Placement in MoE Training","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-05T15:01:22.391380Z"},"links":{"citing_paper":"/paper/2608.03676"},"observation_digest":"sha256:96c10901dd7aede6301b3aec4e51fec0dd0c40ceb084657cc4f5d48b37e253f1","observation_id":"cf7b6970-e5ff-40e0-a17f-9425aed01660","resolution":{"observed_at":"2026-08-05T15:01:22.651882Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T15:01:22.393564Z","title":"arXiv preprint arXiv:2511.16947 , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.03676","last_updated":"2026-08-04T13:50:22Z","snapshot_observed_at":"2026-08-17T03:47:20.361827Z","submitted_at":"2026-08-04T13:50:22Z","title":"TAOT: Topology-Aware Optimal Transport for Dynamic Expert Replica Placement in MoE Training","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-05T15:01:22.393564Z"},"links":{"citing_paper":"/paper/2608.03676"},"observation_digest":"sha256:fe88357b43ce118628ca8be2a9ce7225c082ce6c7fb8989107b61a78d27c8298","observation_id":"166558ba-7f3b-44ee-ade9-50c693dc3abb","resolution":{"observed_at":"2026-08-05T15:01:22.393564Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2604.19654","last_updated":"2026-04-21T16:43:59Z","snapshot_observed_at":"2026-08-16T05:34:58.788654Z","submitted_at":"2026-04-21T16:43:59Z","title":"FEPLB: Exploiting Copy Engines for Nearly Free MoE Load Balancing in Distributed Training","version":1},"cited_work":{"arxiv_id":"2604.19654","doi":null,"metadata_source":"pith","pith_arxiv_id":"2604.19654","snapshot_observed_at":"2026-08-05T15:01:22.515096Z","title":"FEPLB: Exploiting Copy Engines for Nearly Free MoE Load Balancing in Distributed Training","venue":"cs.DC","work_id":"5b0033f5-702d-4f5f-b738-a5c166238992","year":2026},"citing_paper":{"arxiv_id":"2608.03676","last_updated":"2026-08-04T13:50:22Z","snapshot_observed_at":"2026-08-17T03:47:20.361827Z","submitted_at":"2026-08-04T13:50:22Z","title":"TAOT: Topology-Aware Optimal Transport for Dynamic Expert Replica Placement in MoE Training","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-05T15:01:22.395806Z"},"links":{"cited_paper":"/paper/2604.19654","citing_paper":"/paper/2608.03676"},"observation_digest":"sha256:8d3c33b3b38768a2abf13e40d2384aaf4f764c95bed73d4095d5c50e8604bc1e","observation_id":"836457ef-fd68-4527-a656-8488baeaa383","resolution":{"observed_at":"2026-08-05T15:01:22.520108Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T15:01:22.641773Z","title":"International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) , volume =","venue":null,"work_id":"b5fa7466-871b-4824-b96c-00e3648f5f0d","year":null},"citing_paper":{"arxiv_id":"2608.03676","last_updated":"2026-08-04T13:50:22Z","snapshot_observed_at":"2026-08-17T03:47:20.361827Z","submitted_at":"2026-08-04T13:50:22Z","title":"TAOT: Topology-Aware Optimal Transport for Dynamic Expert Replica Placement in MoE Training","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-05T15:01:22.398055Z"},"links":{"citing_paper":"/paper/2608.03676"},"observation_digest":"sha256:dcf1c93b75a5763a613720afbf466ada0ee34b103c168da005566fc3c7cb326d","observation_id":"4a6f4ca0-7680-4092-a107-83e435233c5a","resolution":{"observed_at":"2026-08-05T15:01:22.644286Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T15:01:22.634423Z","title":"International Conference on Machine Learning (ICML) , pages =","venue":null,"work_id":"6e417e8e-fbf0-472e-a841-af997e93576e","year":null},"citing_paper":{"arxiv_id":"2608.03676","last_updated":"2026-08-04T13:50:22Z","snapshot_observed_at":"2026-08-17T03:47:20.361827Z","submitted_at":"2026-08-04T13:50:22Z","title":"TAOT: Topology-Aware Optimal Transport for Dynamic Expert Replica Placement in MoE Training","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-05T15:01:22.400321Z"},"links":{"citing_paper":"/paper/2608.03676"},"observation_digest":"sha256:3a5bcc6778c95fed839a348374a28ac74b314c5993b35910244a9fadfff9ed8b","observation_id":"d946a46b-2e2a-453b-b07a-a3975e1a3886","resolution":{"observed_at":"2026-08-05T15:01:22.636971Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T15:01:22.626987Z","title":"Advances in Neural Information Processing Systems (NeurIPS) , volume =","venue":null,"work_id":"49c8c574-e6e5-42ed-b1e5-5e4711afcaf4","year":null},"citing_paper":{"arxiv_id":"2608.03676","last_updated":"2026-08-04T13:50:22Z","snapshot_observed_at":"2026-08-17T03:47:20.361827Z","submitted_at":"2026-08-04T13:50:22Z","title":"TAOT: Topology-Aware Optimal Transport for Dynamic Expert Replica Placement in MoE Training","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-05T15:01:22.402706Z"},"links":{"citing_paper":"/paper/2608.03676"},"observation_digest":"sha256:a3d8437319a1b5da573169b6e46c0c932b0caf06d447e918e8b436167a2285b8","observation_id":"e886610a-5ea6-4217-aee8-3cd76370bbdb","resolution":{"observed_at":"2026-08-05T15:01:22.629715Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T15:01:22.619250Z","title":"International Journal of Computational Intelligence Systems , volume =","venue":null,"work_id":"623e1d96-2240-4a1d-af6a-87388c29c449","year":null},"citing_paper":{"arxiv_id":"2608.03676","last_updated":"2026-08-04T13:50:22Z","snapshot_observed_at":"2026-08-17T03:47:20.361827Z","submitted_at":"2026-08-04T13:50:22Z","title":"TAOT: Topology-Aware Optimal Transport for Dynamic Expert Replica Placement in MoE Training","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-05T15:01:22.405151Z"},"links":{"citing_paper":"/paper/2608.03676"},"observation_digest":"sha256:9efb2292d7483fd846f2f6ef93c149e6bf6ce12e4280a5d79fa7eff0cf286b5e","observation_id":"fcf25886-3bd6-4cf6-a669-53ba9c5d41d3","resolution":{"observed_at":"2026-08-05T15:01:22.622149Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T15:01:22.610912Z","title":"Proceedings of the AAAI Conference on Artificial Intelligence , year =","venue":null,"work_id":"cfecfaaf-546d-46e2-8717-9109e350243f","year":null},"citing_paper":{"arxiv_id":"2608.03676","last_updated":"2026-08-04T13:50:22Z","snapshot_observed_at":"2026-08-17T03:47:20.361827Z","submitted_at":"2026-08-04T13:50:22Z","title":"TAOT: Topology-Aware Optimal Transport for Dynamic Expert Replica Placement in MoE Training","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-05T15:01:22.407531Z"},"links":{"citing_paper":"/paper/2608.03676"},"observation_digest":"sha256:ee1d47ef8ee4ba6c1839454d4071c7216d5e3ad00a4584b99371ad3f198562ff","observation_id":"5b06bf6a-325e-4ffe-b3d9-17d92ef7fb3c","resolution":{"observed_at":"2026-08-05T15:01:22.613829Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2101.00027","last_updated":"2020-12-31T19:00:10Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2020-12-31T19:00:10Z","title":"The Pile: An 800GB Dataset of Diverse Text for Language Modeling","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2101.00027","snapshot_observed_at":"2026-08-05T15:01:22.410031Z","title":"arXiv preprint arXiv:2101.00027 , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.03676","last_updated":"2026-08-04T13:50:22Z","snapshot_observed_at":"2026-08-17T03:47:20.361827Z","submitted_at":"2026-08-04T13:50:22Z","title":"TAOT: Topology-Aware Optimal Transport for Dynamic Expert Replica Placement in MoE Training","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-05T15:01:22.410031Z"},"links":{"cited_paper":"/paper/2101.00027","citing_paper":"/paper/2608.03676"},"observation_digest":"sha256:98245aabc069c1ff0b9fb4d2d76128160c91e00b20780ddf46166ba9777519cd","observation_id":"f612a60b-a227-443c-97f5-46714215b651","resolution":{"observed_at":"2026-08-05T15:01:22.410031Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2608.03676","last_updated":"2026-08-04T13:50:22Z","latest_version":1,"primary_category":"cs.DC","snapshot_observed_at":"2026-08-17T03:47:20.361827Z","submitted_at":"2026-08-04T13:50:22Z","title":"TAOT: Topology-Aware Optimal Transport for Dynamic Expert Replica Placement in MoE Training"},"reference_resolution":{"displayed":50,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":29,"verified_exact":0,"verified_fuzzy":20},"total_outbound_references":50},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 1 inbound Pith citation observation for arXiv:2608.03676."}