{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:YMAIGZASDM44TSCKLDU33XHUB3","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"c6dc8c429387ba3065006cd0c35d602cd5b74ce016601301f3fb354369f9b267","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2021-02-28T15:58:45Z","title_canon_sha256":"182dc9149c408d2c01cd4edd74c1716c970e784ec2958a1535b11e559626e73e"},"schema_version":"1.0","source":{"id":"2103.00543","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2103.00543","created_at":"2026-07-05T02:53:56Z"},{"alias_kind":"arxiv_version","alias_value":"2103.00543v3","created_at":"2026-07-05T02:53:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.00543","created_at":"2026-07-05T02:53:56Z"},{"alias_kind":"pith_short_12","alias_value":"YMAIGZASDM44","created_at":"2026-07-05T02:53:56Z"},{"alias_kind":"pith_short_16","alias_value":"YMAIGZASDM44TSCK","created_at":"2026-07-05T02:53:56Z"},{"alias_kind":"pith_short_8","alias_value":"YMAIGZAS","created_at":"2026-07-05T02:53:56Z"}],"graph_snapshots":[{"event_id":"sha256:d6513b45e5c4273345f75bd5c30ae1f8ba5b6234cadd37996559c6cf53309075","target":"graph","created_at":"2026-07-05T02:53:56Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2103.00543/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"A rich body of prior work has highlighted the existence of communication bottlenecks in synchronous data-parallel training. To alleviate these bottlenecks, a long line of recent work proposes gradient and model compression methods. In this work, we evaluate the efficacy of gradient compression methods and compare their scalability with optimized implementations of synchronous data-parallel SGD across more than 200 different setups. Surprisingly, we observe that only in 6 cases out of more than 200, gradient compression methods provide speedup over optimized synchronous data-parallel training i","authors_text":"Dimitris Papailiopoulos, Hongyi Wang, Saurabh Agarwal, Shivaram Venkataraman","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2021-02-28T15:58:45Z","title":"On the Utility of Gradient Compression in Distributed Training Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.00543","kind":"arxiv","version":3},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:1a6c0155f50c06552889b09e613317f3526bdd5ae53e355042847334441d66fe","target":"record","created_at":"2026-07-05T02:53:56Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"c6dc8c429387ba3065006cd0c35d602cd5b74ce016601301f3fb354369f9b267","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2021-02-28T15:58:45Z","title_canon_sha256":"182dc9149c408d2c01cd4edd74c1716c970e784ec2958a1535b11e559626e73e"},"schema_version":"1.0","source":{"id":"2103.00543","kind":"arxiv","version":3}},"canonical_sha256":"c3008364121b39c9c84a58e9bddcf40ef9e429b8c24c674ec8a8cb56166399e1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c3008364121b39c9c84a58e9bddcf40ef9e429b8c24c674ec8a8cb56166399e1","first_computed_at":"2026-07-05T02:53:56.073601Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:53:56.073601Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hT40t2AbdKItduVVMy0grEn98253Ls1Cci9QdlQ/axciLATI5K1xbpCjU1WZy6rPF3zLLJ7WTtaXXSmIJm5oAg==","signature_status":"signed_v1","signed_at":"2026-07-05T02:53:56.074019Z","signed_message":"canonical_sha256_bytes"},"source_id":"2103.00543","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1a6c0155f50c06552889b09e613317f3526bdd5ae53e355042847334441d66fe","sha256:d6513b45e5c4273345f75bd5c30ae1f8ba5b6234cadd37996559c6cf53309075"],"state_sha256":"722a951fe46264aa1e9ba609b26b1e9b7e4eb8c149e89835473301ee342b1ecf"}