{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:OTAJLRKWGWPABL6SIZK3MQKK3V","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":"665ffff21f65346ad1fa276b5bf59d88febc7a2fe278dcfd60d08e7dc6c68650","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-25T22:16:59Z","title_canon_sha256":"c854ac4c837e8b001a185a257248b9dd7fcc3a4117aed362d098c52304de2996"},"schema_version":"1.0","source":{"id":"2505.19342","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.19342","created_at":"2026-05-28T01:04:28Z"},{"alias_kind":"arxiv_version","alias_value":"2505.19342v2","created_at":"2026-05-28T01:04:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.19342","created_at":"2026-05-28T01:04:28Z"},{"alias_kind":"pith_short_12","alias_value":"OTAJLRKWGWPA","created_at":"2026-05-28T01:04:28Z"},{"alias_kind":"pith_short_16","alias_value":"OTAJLRKWGWPABL6S","created_at":"2026-05-28T01:04:28Z"},{"alias_kind":"pith_short_8","alias_value":"OTAJLRKW","created_at":"2026-05-28T01:04:28Z"}],"graph_snapshots":[{"event_id":"sha256:7f27068cf2b49023987a58f707325fc5d08b121e96e08e0c4c3ef9d7194ca512","target":"graph","created_at":"2026-05-28T01:04:28Z","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/2505.19342/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multi-device inference can reduce Transformer latency by parallelizing computation. However, existing methods require high inter-device bandwidth, making them impractical for bandwidth-constrained environments. We present ASTRA, a communication-efficient framework that integrates sequence parallelism with mixed-precision attention, where non-local token embeddings are transmitted as low-bit vector-quantized codes while local attention remains full precision. To preserve accuracy under aggressive compression, ASTRA introduces Noise-Augmented Quantization and Distributed Class Tokens. Across vis","authors_text":"Deepak Ganesan, Hui Guan, Lijun Zhang, Xiao Liu","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-25T22:16:59Z","title":"ASTRA: Communication-Efficient Acceleration for Multi-Device Transformer Inference"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.19342","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:afd1a49e1ae892d62de69afe58a708c3e3035ea9c491de038276b607db6e5bb2","target":"record","created_at":"2026-05-28T01:04:28Z","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":"665ffff21f65346ad1fa276b5bf59d88febc7a2fe278dcfd60d08e7dc6c68650","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-25T22:16:59Z","title_canon_sha256":"c854ac4c837e8b001a185a257248b9dd7fcc3a4117aed362d098c52304de2996"},"schema_version":"1.0","source":{"id":"2505.19342","kind":"arxiv","version":2}},"canonical_sha256":"74c095c556359e00afd24655b6414add74a8e59fa8691ee43cd2ebc82e9ffa52","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"74c095c556359e00afd24655b6414add74a8e59fa8691ee43cd2ebc82e9ffa52","first_computed_at":"2026-05-28T01:04:28.301381Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-28T01:04:28.301381Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Zb8+bcheBF3J29Z10UDZUSiOMfxMJ5/Gu3eAQoArE0K/v4kgfezRVNOzRLd68nEdxaLSoKqGkLEuOLCQB2N6BA==","signature_status":"signed_v1","signed_at":"2026-05-28T01:04:28.301965Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.19342","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:afd1a49e1ae892d62de69afe58a708c3e3035ea9c491de038276b607db6e5bb2","sha256:7f27068cf2b49023987a58f707325fc5d08b121e96e08e0c4c3ef9d7194ca512"],"state_sha256":"10897fc844785967ded3a8a945b023420e02cea9c8459f94c58df76e70960de5"}