{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:X7AHNLGFK26CYAHP3TDZV6QDWO","short_pith_number":"pith:X7AHNLGF","canonical_record":{"source":{"id":"2605.18815","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-12T09:51:28Z","cross_cats_sorted":["cs.DC"],"title_canon_sha256":"53ba9e034b366337c0e6fc4ae9c85c302024472c57d5d56d884f75fb0b165a01","abstract_canon_sha256":"d3afe6b2261929116dedb3868c7a839549fb802c3aafe484dc66caa66b2d279c"},"schema_version":"1.0"},"canonical_sha256":"bfc076acc556bc2c00efdcc79afa03b3af0f5d6053e9a9a5a85c532b3fcf5785","source":{"kind":"arxiv","id":"2605.18815","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.18815","created_at":"2026-05-20T00:06:23Z"},{"alias_kind":"arxiv_version","alias_value":"2605.18815v1","created_at":"2026-05-20T00:06:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.18815","created_at":"2026-05-20T00:06:23Z"},{"alias_kind":"pith_short_12","alias_value":"X7AHNLGFK26C","created_at":"2026-05-20T00:06:23Z"},{"alias_kind":"pith_short_16","alias_value":"X7AHNLGFK26CYAHP","created_at":"2026-05-20T00:06:23Z"},{"alias_kind":"pith_short_8","alias_value":"X7AHNLGF","created_at":"2026-05-20T00:06:23Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:X7AHNLGFK26CYAHP3TDZV6QDWO","target":"record","payload":{"canonical_record":{"source":{"id":"2605.18815","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-12T09:51:28Z","cross_cats_sorted":["cs.DC"],"title_canon_sha256":"53ba9e034b366337c0e6fc4ae9c85c302024472c57d5d56d884f75fb0b165a01","abstract_canon_sha256":"d3afe6b2261929116dedb3868c7a839549fb802c3aafe484dc66caa66b2d279c"},"schema_version":"1.0"},"canonical_sha256":"bfc076acc556bc2c00efdcc79afa03b3af0f5d6053e9a9a5a85c532b3fcf5785","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T00:06:23.932613Z","signature_b64":"CtH9uKp3/N9usf+SGPPFz/gSL71z5R44yBaQOIxLuaV0kiJoLQZ6oUd59kMMrYv5cWowMm+PE+94K1KYAclnBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bfc076acc556bc2c00efdcc79afa03b3af0f5d6053e9a9a5a85c532b3fcf5785","last_reissued_at":"2026-05-20T00:06:23.931674Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T00:06:23.931674Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.18815","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-20T00:06:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kdd3JJZgmnDdgUm1URUq6Wq1J2uUusHEDRzsFvPHY01cGlJmIxny9jmHygIVcfmbPfY090vAMiU0ZlcBQivqCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T21:51:54.614044Z"},"content_sha256":"919cb174eeffbf9bd23ca541619e5363af62357bca4fe4c6565abfa4ed9c4821","schema_version":"1.0","event_id":"sha256:919cb174eeffbf9bd23ca541619e5363af62357bca4fe4c6565abfa4ed9c4821"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:X7AHNLGFK26CYAHP3TDZV6QDWO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DynaTrain: Fast Online Parallelism Switching for Elastic LLM Training","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.DC"],"primary_cat":"cs.LG","authors_text":"Boxun Li, Chunyang Zhu, Daning Cheng, Guohao Dai, Hao Lin, Junhao Hu, Quanlu Zhang, Yuanqing Wang, Yuchen Zhang, Yunquan Zhang, Yu Wang, Zhi Yang","submitted_at":"2026-05-12T09:51:28Z","abstract_excerpt":"Modern large language model (LLM) training is inherently dynamic: resource fluctuations, RLHF phase shifts, and cluster elasticity continually reshape the optimal parallelism layout, posing a significant challenge to existing training frameworks built around a static execution model. We present DynaTrain, a distributed training system for sub-second, online reconfiguration across arbitrary multi-dimensional parallelism. At its core, we propose a Virtual Parameter Space (VPS) abstraction that unifies all distributed training states under one logical coordinate space, turning any parallelism con"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.18815","kind":"arxiv","version":1},"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/2605.18815/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":"2026-05-20T00:06:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CEBQ8/kRqbjTKdpoZxWQXB0dCuR26aK9AGu57abu2mH7GtqXNIML0kagqCiaAntHlabjdRyvTHJUvu9THQvqDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T21:51:54.614460Z"},"content_sha256":"7571024e78f9518aae9d33994aa59a8d77a8205765eda7ff597f97b9829e0a37","schema_version":"1.0","event_id":"sha256:7571024e78f9518aae9d33994aa59a8d77a8205765eda7ff597f97b9829e0a37"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/X7AHNLGFK26CYAHP3TDZV6QDWO/bundle.json","state_url":"https://pith.science/pith/X7AHNLGFK26CYAHP3TDZV6QDWO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/X7AHNLGFK26CYAHP3TDZV6QDWO/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":"2026-05-25T21:51:54Z","links":{"resolver":"https://pith.science/pith/X7AHNLGFK26CYAHP3TDZV6QDWO","bundle":"https://pith.science/pith/X7AHNLGFK26CYAHP3TDZV6QDWO/bundle.json","state":"https://pith.science/pith/X7AHNLGFK26CYAHP3TDZV6QDWO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/X7AHNLGFK26CYAHP3TDZV6QDWO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:X7AHNLGFK26CYAHP3TDZV6QDWO","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":"d3afe6b2261929116dedb3868c7a839549fb802c3aafe484dc66caa66b2d279c","cross_cats_sorted":["cs.DC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-12T09:51:28Z","title_canon_sha256":"53ba9e034b366337c0e6fc4ae9c85c302024472c57d5d56d884f75fb0b165a01"},"schema_version":"1.0","source":{"id":"2605.18815","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.18815","created_at":"2026-05-20T00:06:23Z"},{"alias_kind":"arxiv_version","alias_value":"2605.18815v1","created_at":"2026-05-20T00:06:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.18815","created_at":"2026-05-20T00:06:23Z"},{"alias_kind":"pith_short_12","alias_value":"X7AHNLGFK26C","created_at":"2026-05-20T00:06:23Z"},{"alias_kind":"pith_short_16","alias_value":"X7AHNLGFK26CYAHP","created_at":"2026-05-20T00:06:23Z"},{"alias_kind":"pith_short_8","alias_value":"X7AHNLGF","created_at":"2026-05-20T00:06:23Z"}],"graph_snapshots":[{"event_id":"sha256:7571024e78f9518aae9d33994aa59a8d77a8205765eda7ff597f97b9829e0a37","target":"graph","created_at":"2026-05-20T00:06:23Z","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/2605.18815/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Modern large language model (LLM) training is inherently dynamic: resource fluctuations, RLHF phase shifts, and cluster elasticity continually reshape the optimal parallelism layout, posing a significant challenge to existing training frameworks built around a static execution model. We present DynaTrain, a distributed training system for sub-second, online reconfiguration across arbitrary multi-dimensional parallelism. At its core, we propose a Virtual Parameter Space (VPS) abstraction that unifies all distributed training states under one logical coordinate space, turning any parallelism con","authors_text":"Boxun Li, Chunyang Zhu, Daning Cheng, Guohao Dai, Hao Lin, Junhao Hu, Quanlu Zhang, Yuanqing Wang, Yuchen Zhang, Yunquan Zhang, Yu Wang, Zhi Yang","cross_cats":["cs.DC"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-12T09:51:28Z","title":"DynaTrain: Fast Online Parallelism Switching for Elastic LLM Training"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.18815","kind":"arxiv","version":1},"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":"sha256:919cb174eeffbf9bd23ca541619e5363af62357bca4fe4c6565abfa4ed9c4821","target":"record","created_at":"2026-05-20T00:06:23Z","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":"d3afe6b2261929116dedb3868c7a839549fb802c3aafe484dc66caa66b2d279c","cross_cats_sorted":["cs.DC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-12T09:51:28Z","title_canon_sha256":"53ba9e034b366337c0e6fc4ae9c85c302024472c57d5d56d884f75fb0b165a01"},"schema_version":"1.0","source":{"id":"2605.18815","kind":"arxiv","version":1}},"canonical_sha256":"bfc076acc556bc2c00efdcc79afa03b3af0f5d6053e9a9a5a85c532b3fcf5785","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bfc076acc556bc2c00efdcc79afa03b3af0f5d6053e9a9a5a85c532b3fcf5785","first_computed_at":"2026-05-20T00:06:23.931674Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T00:06:23.931674Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CtH9uKp3/N9usf+SGPPFz/gSL71z5R44yBaQOIxLuaV0kiJoLQZ6oUd59kMMrYv5cWowMm+PE+94K1KYAclnBg==","signature_status":"signed_v1","signed_at":"2026-05-20T00:06:23.932613Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.18815","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:919cb174eeffbf9bd23ca541619e5363af62357bca4fe4c6565abfa4ed9c4821","sha256:7571024e78f9518aae9d33994aa59a8d77a8205765eda7ff597f97b9829e0a37"],"state_sha256":"83226a472cdabd755d984814acd8f3e0997fb413fe0924648e90d6418181146e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lnKwAlVQ2xIisWBcfaE24ItEp7BKKzl2CFlvzs6DEtryOF5Mlv0SEoOvORVMlc9R2rvnjoYJoqpZrarxWokZCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T21:51:54.617469Z","bundle_sha256":"960c7654df0b9ad13ca941f0e3c2a5b2016b62ef7002e633fff85e02c84a0f22"}}