{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:GX6CZII6UNB5S774FYBI4SLMXN","short_pith_number":"pith:GX6CZII6","canonical_record":{"source":{"id":"2407.15266","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NI","submitted_at":"2024-07-21T21:00:11Z","cross_cats_sorted":[],"title_canon_sha256":"e143ee4c8924649c6dfacd6714ecf6f03488489fa9c81273cc86f4666b4a3293","abstract_canon_sha256":"4c623cfb9186225dce0a6d4d899a947e4e0836818a15e71cde1d835820c31045"},"schema_version":"1.0"},"canonical_sha256":"35fc2ca11ea343d97ffc2e028e496cbb6495414238882bd7797716a96eb7de89","source":{"kind":"arxiv","id":"2407.15266","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.15266","created_at":"2026-07-05T08:47:55Z"},{"alias_kind":"arxiv_version","alias_value":"2407.15266v2","created_at":"2026-07-05T08:47:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.15266","created_at":"2026-07-05T08:47:55Z"},{"alias_kind":"pith_short_12","alias_value":"GX6CZII6UNB5","created_at":"2026-07-05T08:47:55Z"},{"alias_kind":"pith_short_16","alias_value":"GX6CZII6UNB5S774","created_at":"2026-07-05T08:47:55Z"},{"alias_kind":"pith_short_8","alias_value":"GX6CZII6","created_at":"2026-07-05T08:47:55Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:GX6CZII6UNB5S774FYBI4SLMXN","target":"record","payload":{"canonical_record":{"source":{"id":"2407.15266","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NI","submitted_at":"2024-07-21T21:00:11Z","cross_cats_sorted":[],"title_canon_sha256":"e143ee4c8924649c6dfacd6714ecf6f03488489fa9c81273cc86f4666b4a3293","abstract_canon_sha256":"4c623cfb9186225dce0a6d4d899a947e4e0836818a15e71cde1d835820c31045"},"schema_version":"1.0"},"canonical_sha256":"35fc2ca11ea343d97ffc2e028e496cbb6495414238882bd7797716a96eb7de89","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:47:55.500588Z","signature_b64":"2dm4+dUQOc1Ny0joH5kxwqJ2WzXVE6GzV1ccB4lWDWkqtqsnWrQfYMidB2KTgTszbVT47fKw6SEHsFwrnbs0BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"35fc2ca11ea343d97ffc2e028e496cbb6495414238882bd7797716a96eb7de89","last_reissued_at":"2026-07-05T08:47:55.500090Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:47:55.500090Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2407.15266","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":"2026-07-05T08:47:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/gSXv+JT1jq8CttbY0clrphKtEtlMOUvIX3RbnxZ6pVUWkprCKqF8yLXzcti1V7wyrpkgb3C7+qZK8LXBSQ4DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T12:42:01.717596Z"},"content_sha256":"d1628d1d9553f086bc363c97447b3addcf2ce43eba1f24a1dbe75def2fe542e6","schema_version":"1.0","event_id":"sha256:d1628d1d9553f086bc363c97447b3addcf2ce43eba1f24a1dbe75def2fe542e6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:GX6CZII6UNB5S774FYBI4SLMXN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"STrack: A Reliable Multipath Transport for AI/ML Clusters","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.NI","authors_text":"Abdul Kabbani, Francis Matus, Jeremias Blendin, Peter Newman, Raghava Sivaramu, Rong Pan, Vipin Jain, Yanfang Le","submitted_at":"2024-07-21T21:00:11Z","abstract_excerpt":"Emerging artificial intelligence (AI) and machine learning (ML) workloads present new challenges of managing the collective communication used in distributed training across hundreds or even thousands of GPUs. This paper presents STrack, a novel hardware-offloaded reliable transport protocol aimed at improving the performance of AI /ML workloads by rethinking key aspects of the transport layer. STrack optimizes congestion control and load balancing in tandem: it incorporates an adaptive load balancing algorithm leveraging ECN, while adopts RTT as multi-bit congestion indicators for precise con"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.15266","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/2407.15266/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":"2026-07-05T08:47:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4EFRyiYiWd7R+NlvtZRzLCouoGZeJykcUPAuQzBkHVC0d2oh8fOTWk43wClFklAf9aoGwYZwoY5rvsQkn3l5Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T12:42:01.718203Z"},"content_sha256":"ab1c3948332cc911a2342689264fdd88c972a65981ae094aaca37bf12d647056","schema_version":"1.0","event_id":"sha256:ab1c3948332cc911a2342689264fdd88c972a65981ae094aaca37bf12d647056"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GX6CZII6UNB5S774FYBI4SLMXN/bundle.json","state_url":"https://pith.science/pith/GX6CZII6UNB5S774FYBI4SLMXN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GX6CZII6UNB5S774FYBI4SLMXN/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":"2026-08-04T12:42:01Z","links":{"resolver":"https://pith.science/pith/GX6CZII6UNB5S774FYBI4SLMXN","bundle":"https://pith.science/pith/GX6CZII6UNB5S774FYBI4SLMXN/bundle.json","state":"https://pith.science/pith/GX6CZII6UNB5S774FYBI4SLMXN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GX6CZII6UNB5S774FYBI4SLMXN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:GX6CZII6UNB5S774FYBI4SLMXN","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":"4c623cfb9186225dce0a6d4d899a947e4e0836818a15e71cde1d835820c31045","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NI","submitted_at":"2024-07-21T21:00:11Z","title_canon_sha256":"e143ee4c8924649c6dfacd6714ecf6f03488489fa9c81273cc86f4666b4a3293"},"schema_version":"1.0","source":{"id":"2407.15266","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.15266","created_at":"2026-07-05T08:47:55Z"},{"alias_kind":"arxiv_version","alias_value":"2407.15266v2","created_at":"2026-07-05T08:47:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.15266","created_at":"2026-07-05T08:47:55Z"},{"alias_kind":"pith_short_12","alias_value":"GX6CZII6UNB5","created_at":"2026-07-05T08:47:55Z"},{"alias_kind":"pith_short_16","alias_value":"GX6CZII6UNB5S774","created_at":"2026-07-05T08:47:55Z"},{"alias_kind":"pith_short_8","alias_value":"GX6CZII6","created_at":"2026-07-05T08:47:55Z"}],"graph_snapshots":[{"event_id":"sha256:ab1c3948332cc911a2342689264fdd88c972a65981ae094aaca37bf12d647056","target":"graph","created_at":"2026-07-05T08:47:55Z","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/2407.15266/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Emerging artificial intelligence (AI) and machine learning (ML) workloads present new challenges of managing the collective communication used in distributed training across hundreds or even thousands of GPUs. This paper presents STrack, a novel hardware-offloaded reliable transport protocol aimed at improving the performance of AI /ML workloads by rethinking key aspects of the transport layer. STrack optimizes congestion control and load balancing in tandem: it incorporates an adaptive load balancing algorithm leveraging ECN, while adopts RTT as multi-bit congestion indicators for precise con","authors_text":"Abdul Kabbani, Francis Matus, Jeremias Blendin, Peter Newman, Raghava Sivaramu, Rong Pan, Vipin Jain, Yanfang Le","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NI","submitted_at":"2024-07-21T21:00:11Z","title":"STrack: A Reliable Multipath Transport for AI/ML Clusters"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.15266","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:d1628d1d9553f086bc363c97447b3addcf2ce43eba1f24a1dbe75def2fe542e6","target":"record","created_at":"2026-07-05T08:47:55Z","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":"4c623cfb9186225dce0a6d4d899a947e4e0836818a15e71cde1d835820c31045","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NI","submitted_at":"2024-07-21T21:00:11Z","title_canon_sha256":"e143ee4c8924649c6dfacd6714ecf6f03488489fa9c81273cc86f4666b4a3293"},"schema_version":"1.0","source":{"id":"2407.15266","kind":"arxiv","version":2}},"canonical_sha256":"35fc2ca11ea343d97ffc2e028e496cbb6495414238882bd7797716a96eb7de89","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"35fc2ca11ea343d97ffc2e028e496cbb6495414238882bd7797716a96eb7de89","first_computed_at":"2026-07-05T08:47:55.500090Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:47:55.500090Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2dm4+dUQOc1Ny0joH5kxwqJ2WzXVE6GzV1ccB4lWDWkqtqsnWrQfYMidB2KTgTszbVT47fKw6SEHsFwrnbs0BQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:47:55.500588Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.15266","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d1628d1d9553f086bc363c97447b3addcf2ce43eba1f24a1dbe75def2fe542e6","sha256:ab1c3948332cc911a2342689264fdd88c972a65981ae094aaca37bf12d647056"],"state_sha256":"a6a45454fd278507b60d3dbb351498d168c836aca1dadbd7cd0428d436cd0b87"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kq+08ehTlCfkzvjdZbYkHLUmslfId7/S2ERQbl6nrdsJNmVQZi4DJkzMyx5TlrW4XdtTTzLlidprrAcLSrFMAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T12:42:01.727630Z","bundle_sha256":"455b3a6973e58ebb974d2cf02ed65e5a0b9fb43b4eeb6219d5f7e137aa0917b7"}}