{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:KLGWDDWCPTBUILO2L2GGUHAANZ","short_pith_number":"pith:KLGWDDWC","canonical_record":{"source":{"id":"2301.12065","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-01-28T02:47:42Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"ab91e0cc07c367b5dcaa3a06c91eafde672dd4ab44fa7949d04eb109846e0ec1","abstract_canon_sha256":"3054a6c2875e1fbcfbd043d68a51cfb6f2e8269f2be55d648de3218ed013d51c"},"schema_version":"1.0"},"canonical_sha256":"52cd618ec27cc3442dda5e8c6a1c006e69ae2f0852f620c2fdb380bd13ddbafb","source":{"kind":"arxiv","id":"2301.12065","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2301.12065","created_at":"2026-07-05T08:46:50Z"},{"alias_kind":"arxiv_version","alias_value":"2301.12065v2","created_at":"2026-07-05T08:46:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2301.12065","created_at":"2026-07-05T08:46:50Z"},{"alias_kind":"pith_short_12","alias_value":"KLGWDDWCPTBU","created_at":"2026-07-05T08:46:50Z"},{"alias_kind":"pith_short_16","alias_value":"KLGWDDWCPTBUILO2","created_at":"2026-07-05T08:46:50Z"},{"alias_kind":"pith_short_8","alias_value":"KLGWDDWC","created_at":"2026-07-05T08:46:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:KLGWDDWCPTBUILO2L2GGUHAANZ","target":"record","payload":{"canonical_record":{"source":{"id":"2301.12065","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-01-28T02:47:42Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"ab91e0cc07c367b5dcaa3a06c91eafde672dd4ab44fa7949d04eb109846e0ec1","abstract_canon_sha256":"3054a6c2875e1fbcfbd043d68a51cfb6f2e8269f2be55d648de3218ed013d51c"},"schema_version":"1.0"},"canonical_sha256":"52cd618ec27cc3442dda5e8c6a1c006e69ae2f0852f620c2fdb380bd13ddbafb","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:46:50.669993Z","signature_b64":"epZsEw+8Z2LS0hdbGll/VXPAwFxNu66aWjEzsf2acgGZzo0XMRWiPxqLr07nRpTN0AqRKBsEf6IXbBt0JqdcAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"52cd618ec27cc3442dda5e8c6a1c006e69ae2f0852f620c2fdb380bd13ddbafb","last_reissued_at":"2026-07-05T08:46:50.669497Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:46:50.669497Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2301.12065","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:46:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"90oXr8cLaqP9x/oISn43438bT3RNSDKXN/cvOCYlNiFQNXCMoFmPvh/fcxelDFsV2H2N8eJK28TjpyBapK9tCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T03:39:54.173723Z"},"content_sha256":"185a09a458416aef395e5928c439be5be04eace4e97512fff93774318f8ab6db","schema_version":"1.0","event_id":"sha256:185a09a458416aef395e5928c439be5be04eace4e97512fff93774318f8ab6db"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:KLGWDDWCPTBUILO2L2GGUHAANZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Decentralized Entropic Optimal Transport for Distributed Distribution Comparison","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Hongteng Xu, Moyi Yang, Xiangfeng Wang","submitted_at":"2023-01-28T02:47:42Z","abstract_excerpt":"Distributed distribution comparison aims to measure the distance between the distributions whose data are scattered across different agents in a distributed system and cannot even be shared directly among the agents. In this study, we propose a novel decentralized entropic optimal transport (DEOT) method, which provides a communication-efficient and privacy-preserving solution to this problem with theoretical guarantees. In particular, we design a mini-batch randomized block-coordinate descent (MRBCD) scheme to optimize the DEOT distance in its dual form. The dual variables are scattered acros"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2301.12065","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2301.12065/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:46:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"I9Atm49H5+tw+RvJphQUBOEwgIJYvhbKXnkUFjp4mP2RfVZ/DCkhFP+dU5gwZ4Z/R7s3d6lNgCfS5qySLd7gAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T03:39:54.174310Z"},"content_sha256":"8d41a188e8891641166a83c2cc071396481b86e7129a350dbf3450ac612fde28","schema_version":"1.0","event_id":"sha256:8d41a188e8891641166a83c2cc071396481b86e7129a350dbf3450ac612fde28"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KLGWDDWCPTBUILO2L2GGUHAANZ/bundle.json","state_url":"https://pith.science/pith/KLGWDDWCPTBUILO2L2GGUHAANZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KLGWDDWCPTBUILO2L2GGUHAANZ/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-17T03:39:54Z","links":{"resolver":"https://pith.science/pith/KLGWDDWCPTBUILO2L2GGUHAANZ","bundle":"https://pith.science/pith/KLGWDDWCPTBUILO2L2GGUHAANZ/bundle.json","state":"https://pith.science/pith/KLGWDDWCPTBUILO2L2GGUHAANZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KLGWDDWCPTBUILO2L2GGUHAANZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:KLGWDDWCPTBUILO2L2GGUHAANZ","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":"3054a6c2875e1fbcfbd043d68a51cfb6f2e8269f2be55d648de3218ed013d51c","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-01-28T02:47:42Z","title_canon_sha256":"ab91e0cc07c367b5dcaa3a06c91eafde672dd4ab44fa7949d04eb109846e0ec1"},"schema_version":"1.0","source":{"id":"2301.12065","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2301.12065","created_at":"2026-07-05T08:46:50Z"},{"alias_kind":"arxiv_version","alias_value":"2301.12065v2","created_at":"2026-07-05T08:46:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2301.12065","created_at":"2026-07-05T08:46:50Z"},{"alias_kind":"pith_short_12","alias_value":"KLGWDDWCPTBU","created_at":"2026-07-05T08:46:50Z"},{"alias_kind":"pith_short_16","alias_value":"KLGWDDWCPTBUILO2","created_at":"2026-07-05T08:46:50Z"},{"alias_kind":"pith_short_8","alias_value":"KLGWDDWC","created_at":"2026-07-05T08:46:50Z"}],"graph_snapshots":[{"event_id":"sha256:8d41a188e8891641166a83c2cc071396481b86e7129a350dbf3450ac612fde28","target":"graph","created_at":"2026-07-05T08:46:50Z","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/2301.12065/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Distributed distribution comparison aims to measure the distance between the distributions whose data are scattered across different agents in a distributed system and cannot even be shared directly among the agents. In this study, we propose a novel decentralized entropic optimal transport (DEOT) method, which provides a communication-efficient and privacy-preserving solution to this problem with theoretical guarantees. In particular, we design a mini-batch randomized block-coordinate descent (MRBCD) scheme to optimize the DEOT distance in its dual form. The dual variables are scattered acros","authors_text":"Hongteng Xu, Moyi Yang, Xiangfeng Wang","cross_cats":["stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-01-28T02:47:42Z","title":"Decentralized Entropic Optimal Transport for Distributed Distribution Comparison"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2301.12065","kind":"arxiv","version":2},"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":"sha256:185a09a458416aef395e5928c439be5be04eace4e97512fff93774318f8ab6db","target":"record","created_at":"2026-07-05T08:46:50Z","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":"3054a6c2875e1fbcfbd043d68a51cfb6f2e8269f2be55d648de3218ed013d51c","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-01-28T02:47:42Z","title_canon_sha256":"ab91e0cc07c367b5dcaa3a06c91eafde672dd4ab44fa7949d04eb109846e0ec1"},"schema_version":"1.0","source":{"id":"2301.12065","kind":"arxiv","version":2}},"canonical_sha256":"52cd618ec27cc3442dda5e8c6a1c006e69ae2f0852f620c2fdb380bd13ddbafb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"52cd618ec27cc3442dda5e8c6a1c006e69ae2f0852f620c2fdb380bd13ddbafb","first_computed_at":"2026-07-05T08:46:50.669497Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:46:50.669497Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"epZsEw+8Z2LS0hdbGll/VXPAwFxNu66aWjEzsf2acgGZzo0XMRWiPxqLr07nRpTN0AqRKBsEf6IXbBt0JqdcAg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:46:50.669993Z","signed_message":"canonical_sha256_bytes"},"source_id":"2301.12065","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:185a09a458416aef395e5928c439be5be04eace4e97512fff93774318f8ab6db","sha256:8d41a188e8891641166a83c2cc071396481b86e7129a350dbf3450ac612fde28"],"state_sha256":"101bd28887bfad4345e8197fd7007c8467177cf0b818103db6061b2decd29001"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DqDQn39misOVj4oSzxyhpi1U1RYa9i1zOhSsDlD+3OW+2K7e8VxtbebHY3J/DMwvtBFwR2at7NUfNg0XzTPwAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T03:39:54.178543Z","bundle_sha256":"e8056ba2589b34e1306afb988a6ec4feb3b3bf4bd61cda9b5efd73e40fa78935"}}