{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:I4OZD25RPQNDWWMTAOQWD7OJZU","short_pith_number":"pith:I4OZD25R","canonical_record":{"source":{"id":"2602.21196","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-02-24T18:54:39Z","cross_cats_sorted":["cs.DC"],"title_canon_sha256":"92bdbea654c1527529713cbc1ad0af11e44a6378434e5e9dcf4a8cdc2d8385ca","abstract_canon_sha256":"9d06cbe08572717f374a26f755815a7487a801944ffd87523823a5ef11c80858"},"schema_version":"1.0"},"canonical_sha256":"471d91ebb17c1a3b599303a161fdc9cd33cdd777f2504d610b4d14ca9b89608e","source":{"kind":"arxiv","id":"2602.21196","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.21196","created_at":"2026-07-13T01:18:03Z"},{"alias_kind":"arxiv_version","alias_value":"2602.21196v2","created_at":"2026-07-13T01:18:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.21196","created_at":"2026-07-13T01:18:03Z"},{"alias_kind":"pith_short_12","alias_value":"I4OZD25RPQND","created_at":"2026-07-13T01:18:03Z"},{"alias_kind":"pith_short_16","alias_value":"I4OZD25RPQNDWWMT","created_at":"2026-07-13T01:18:03Z"},{"alias_kind":"pith_short_8","alias_value":"I4OZD25R","created_at":"2026-07-13T01:18:03Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:I4OZD25RPQNDWWMTAOQWD7OJZU","target":"record","payload":{"canonical_record":{"source":{"id":"2602.21196","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-02-24T18:54:39Z","cross_cats_sorted":["cs.DC"],"title_canon_sha256":"92bdbea654c1527529713cbc1ad0af11e44a6378434e5e9dcf4a8cdc2d8385ca","abstract_canon_sha256":"9d06cbe08572717f374a26f755815a7487a801944ffd87523823a5ef11c80858"},"schema_version":"1.0"},"canonical_sha256":"471d91ebb17c1a3b599303a161fdc9cd33cdd777f2504d610b4d14ca9b89608e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-13T01:18:03.237554Z","signature_b64":"i7XHzY7HyU2pEq83gH9Br3dPQO0+SYFitpSx8NsrVTX6v8e/pClB38704o9ppfSsFWQJ83HG1MVrywwXjO1cAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"471d91ebb17c1a3b599303a161fdc9cd33cdd777f2504d610b4d14ca9b89608e","last_reissued_at":"2026-07-13T01:18:03.236503Z","signature_status":"signed_v1","first_computed_at":"2026-07-13T01:18:03.236503Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2602.21196","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":"2026-07-13T01:18:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WiBM9aXebcgfYht6NXlYmZymhsupU9XXaxpX/x4whZJRhpQZiRpkGXDEaTDA9EOGBigZU33yfpSFIyAgj75QDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T00:23:48.901704Z"},"content_sha256":"deaea2c4ee3cd59f9883e691f4195eed0d52de4cdd536a18a471788d99f6c9dc","schema_version":"1.0","event_id":"sha256:deaea2c4ee3cd59f9883e691f4195eed0d52de4cdd536a18a471788d99f6c9dc"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:I4OZD25RPQNDWWMTAOQWD7OJZU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Untied Ulysses: Memory-Efficient Context Parallelism via Headwise Chunking","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.DC"],"primary_cat":"cs.LG","authors_text":"Maksim Abraham, Max Ryabinin, Ravi Ghadia, Sergei Vorobyov","submitted_at":"2026-02-24T18:54:39Z","abstract_excerpt":"Efficiently processing long sequences with Transformer models usually requires splitting the computations across accelerators via context parallelism. The dominant approaches in this family of methods, such as Ring Attention or DeepSpeed Ulysses, enable scaling over the context dimension but do not focus on memory efficiency, which limits the sequence lengths they can support. More advanced techniques, such as Fully Pipelined Distributed Transformer or activation offloading, can further extend the possible context length at the cost of training throughput. In this paper, we present UPipe, a si"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.21196","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/2602.21196/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":"2026-07-13T01:18:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8jEUHrHzKW8cKrfbcAtLeDvoP0zuS45CyWEpHoq55uOfC7uK66xIayZO5WOY/AyFPVi12fyYUCiQcZbvQ2KcCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T00:23:48.902202Z"},"content_sha256":"81b678481b55a0f939487264a3523efa258ffc4f0da94e49d7eb423f92d9344b","schema_version":"1.0","event_id":"sha256:81b678481b55a0f939487264a3523efa258ffc4f0da94e49d7eb423f92d9344b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/I4OZD25RPQNDWWMTAOQWD7OJZU/bundle.json","state_url":"https://pith.science/pith/I4OZD25RPQNDWWMTAOQWD7OJZU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/I4OZD25RPQNDWWMTAOQWD7OJZU/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":"2026-08-15T00:23:48Z","links":{"resolver":"https://pith.science/pith/I4OZD25RPQNDWWMTAOQWD7OJZU","bundle":"https://pith.science/pith/I4OZD25RPQNDWWMTAOQWD7OJZU/bundle.json","state":"https://pith.science/pith/I4OZD25RPQNDWWMTAOQWD7OJZU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/I4OZD25RPQNDWWMTAOQWD7OJZU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:I4OZD25RPQNDWWMTAOQWD7OJZU","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":"9d06cbe08572717f374a26f755815a7487a801944ffd87523823a5ef11c80858","cross_cats_sorted":["cs.DC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-02-24T18:54:39Z","title_canon_sha256":"92bdbea654c1527529713cbc1ad0af11e44a6378434e5e9dcf4a8cdc2d8385ca"},"schema_version":"1.0","source":{"id":"2602.21196","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.21196","created_at":"2026-07-13T01:18:03Z"},{"alias_kind":"arxiv_version","alias_value":"2602.21196v2","created_at":"2026-07-13T01:18:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.21196","created_at":"2026-07-13T01:18:03Z"},{"alias_kind":"pith_short_12","alias_value":"I4OZD25RPQND","created_at":"2026-07-13T01:18:03Z"},{"alias_kind":"pith_short_16","alias_value":"I4OZD25RPQNDWWMT","created_at":"2026-07-13T01:18:03Z"},{"alias_kind":"pith_short_8","alias_value":"I4OZD25R","created_at":"2026-07-13T01:18:03Z"}],"graph_snapshots":[{"event_id":"sha256:81b678481b55a0f939487264a3523efa258ffc4f0da94e49d7eb423f92d9344b","target":"graph","created_at":"2026-07-13T01:18:03Z","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/2602.21196/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Efficiently processing long sequences with Transformer models usually requires splitting the computations across accelerators via context parallelism. The dominant approaches in this family of methods, such as Ring Attention or DeepSpeed Ulysses, enable scaling over the context dimension but do not focus on memory efficiency, which limits the sequence lengths they can support. More advanced techniques, such as Fully Pipelined Distributed Transformer or activation offloading, can further extend the possible context length at the cost of training throughput. In this paper, we present UPipe, a si","authors_text":"Maksim Abraham, Max Ryabinin, Ravi Ghadia, Sergei Vorobyov","cross_cats":["cs.DC"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-02-24T18:54:39Z","title":"Untied Ulysses: Memory-Efficient Context Parallelism via Headwise Chunking"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.21196","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:deaea2c4ee3cd59f9883e691f4195eed0d52de4cdd536a18a471788d99f6c9dc","target":"record","created_at":"2026-07-13T01:18:03Z","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":"9d06cbe08572717f374a26f755815a7487a801944ffd87523823a5ef11c80858","cross_cats_sorted":["cs.DC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-02-24T18:54:39Z","title_canon_sha256":"92bdbea654c1527529713cbc1ad0af11e44a6378434e5e9dcf4a8cdc2d8385ca"},"schema_version":"1.0","source":{"id":"2602.21196","kind":"arxiv","version":2}},"canonical_sha256":"471d91ebb17c1a3b599303a161fdc9cd33cdd777f2504d610b4d14ca9b89608e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"471d91ebb17c1a3b599303a161fdc9cd33cdd777f2504d610b4d14ca9b89608e","first_computed_at":"2026-07-13T01:18:03.236503Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-13T01:18:03.236503Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"i7XHzY7HyU2pEq83gH9Br3dPQO0+SYFitpSx8NsrVTX6v8e/pClB38704o9ppfSsFWQJ83HG1MVrywwXjO1cAA==","signature_status":"signed_v1","signed_at":"2026-07-13T01:18:03.237554Z","signed_message":"canonical_sha256_bytes"},"source_id":"2602.21196","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:deaea2c4ee3cd59f9883e691f4195eed0d52de4cdd536a18a471788d99f6c9dc","sha256:81b678481b55a0f939487264a3523efa258ffc4f0da94e49d7eb423f92d9344b"],"state_sha256":"9b0934b537dcc340bb6119ee3a1ba67af6ec0ba35299a9c1cf0d8dcb3692e92f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8JhC+ti9a9zb8WCYmGf2ypVhYDi4GRyQDPKolS7X1sv2dsK+8pHlV8vnTNFODVk/WAVAtV3TVRpQozuLkd7AAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T00:23:48.905645Z","bundle_sha256":"714fc2a69041f6961eb4562a85153d1fc9b41056adb799a54cbde796a98cc177"}}