{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:3Z2JFZVUUYNB643PKNNX2YO3BU","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":"c0bc781c93c819b6b1867611f21e27698fcda763d4d276aac70c8df675d0ea34","cross_cats_sorted":["cs.LG","cs.NI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2026-06-09T05:36:31Z","title_canon_sha256":"fd012d193744ac80b01cb5bfbc6d43789ca441590169a9ac5093fb2f6894c64e"},"schema_version":"1.0","source":{"id":"2606.10440","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.10440","created_at":"2026-06-10T01:10:19Z"},{"alias_kind":"arxiv_version","alias_value":"2606.10440v1","created_at":"2026-06-10T01:10:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.10440","created_at":"2026-06-10T01:10:19Z"},{"alias_kind":"pith_short_12","alias_value":"3Z2JFZVUUYNB","created_at":"2026-06-10T01:10:19Z"},{"alias_kind":"pith_short_16","alias_value":"3Z2JFZVUUYNB643P","created_at":"2026-06-10T01:10:19Z"},{"alias_kind":"pith_short_8","alias_value":"3Z2JFZVU","created_at":"2026-06-10T01:10:19Z"}],"graph_snapshots":[{"event_id":"sha256:a11d39a3ac641af2fa09e6ed7d2e6b9659e6a0dbb94de7783d9129f4f310c7ee","target":"graph","created_at":"2026-06-10T01:10:19Z","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/2606.10440/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Distributed machine learning (ML) is a key paradigm for today's large-scale artificial intelligence applications. As model inference arises as an important use case, faithful modeling of latency-sensitive collective communication has never been more important. Capturing the device architecture and modeling control and data paths at high fidelity is therefore a necessity today. Having a common, detailed representation for distributed ML infrastructure is also crucial. We revisit the promising open-source, community-driven simulator: ASTRA-sim. In this work, we identify limitations of the curren","authors_text":"Amos Rai, Andy Balogh, Bradford M. Beckmann, Changhai Man, Conor Green, David Sidler, Furkan Eris, Hanjiang Wu, Harsh Sikhwal, Jinsun Yoo, Kingshuk Mandal, Moumita Dey, Pradosh Datta, Ruchi Shah, Tuan Ta, Tushar Krishna, Vinay Ramakrishnaiah, William Won, Winston Liu","cross_cats":["cs.LG","cs.NI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2026-06-09T05:36:31Z","title":"ASTRA-sim 3.0: Next-Level Distributed Machine Learning Simulations via High-Fidelity GPU and Infrastructure Modeling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.10440","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:c6728fba37fbf54fceaca627d5102b449ba3b1444194fb93254048d5feafa7b9","target":"record","created_at":"2026-06-10T01:10:19Z","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":"c0bc781c93c819b6b1867611f21e27698fcda763d4d276aac70c8df675d0ea34","cross_cats_sorted":["cs.LG","cs.NI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2026-06-09T05:36:31Z","title_canon_sha256":"fd012d193744ac80b01cb5bfbc6d43789ca441590169a9ac5093fb2f6894c64e"},"schema_version":"1.0","source":{"id":"2606.10440","kind":"arxiv","version":1}},"canonical_sha256":"de7492e6b4a61a1f736f535b7d61db0d0ae34cf45024d882e849b7f9988b99a0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"de7492e6b4a61a1f736f535b7d61db0d0ae34cf45024d882e849b7f9988b99a0","first_computed_at":"2026-06-10T01:10:19.163424Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-10T01:10:19.163424Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"M1/OoYJZd8aGWhJ25hA3heXe/DUFYTv3DHoLWOJ0cOJWICPfUXS81YI0GzMtNPIgEnrQw7gCBsFAW8xSbwZ+CQ==","signature_status":"signed_v1","signed_at":"2026-06-10T01:10:19.164222Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.10440","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c6728fba37fbf54fceaca627d5102b449ba3b1444194fb93254048d5feafa7b9","sha256:a11d39a3ac641af2fa09e6ed7d2e6b9659e6a0dbb94de7783d9129f4f310c7ee"],"state_sha256":"fc293758ade04beb1e5be3c60c56bd3f15cf5498b8ebdd8ca51d8e0444de25ec"}