{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:3JQIIWHG3ZSW23DIJEXQNOR6YS","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":"a5f788bb328214879edb7859101896e16aa218773911907899e2498de10385ad","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-07-13T08:02:26Z","title_canon_sha256":"4512157079579db8519fc4d8e9eaabbb1b57b1527263b579d98d4747b7ef147b"},"schema_version":"1.0","source":{"id":"2607.11211","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.11211","created_at":"2026-07-14T01:22:22Z"},{"alias_kind":"arxiv_version","alias_value":"2607.11211v1","created_at":"2026-07-14T01:22:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.11211","created_at":"2026-07-14T01:22:22Z"},{"alias_kind":"pith_short_12","alias_value":"3JQIIWHG3ZSW","created_at":"2026-07-14T01:22:22Z"},{"alias_kind":"pith_short_16","alias_value":"3JQIIWHG3ZSW23DI","created_at":"2026-07-14T01:22:22Z"},{"alias_kind":"pith_short_8","alias_value":"3JQIIWHG","created_at":"2026-07-14T01:22:22Z"}],"graph_snapshots":[{"event_id":"sha256:034a59c8795d6e431be6032e0b426c1c36358ebad4fa2d55bde54f07948ec8f8","target":"graph","created_at":"2026-07-14T01:22:22Z","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/2607.11211/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The popularity of large language models (LLMs) escalates an ongoing demand for effective inference. However, due to the sequential processing of tokens during the token phase in decoder-only LLMs inference, the inherent low parallelism leads to reduced throughput and suboptimal utilization of the computing units on artificial intelligence (AI) accelerators, particularly when handling long-sequence inputs that impose significant memory overhead. Recently, many reported methods have been developed as potential solutions, since they emerge with numeric deviation. This paper presents FastTPS, a hi","authors_text":"Aaron Ng, Ashish Sirasao, Danyang Zhang, Elliott Delaye, Fan Yang, Fennian Zhao, Hao Zhu, Jicheng Chen, Kun Cao, Rajeev Patwari, Siyin Kong, Sudip Nag, Tejus Siddagangaiah, Tianping Li, Varun Sharma, Wenzong Yang, Yue Gao, Yushan Chen, Zhanxing Pu, Zijiang Yang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-07-13T08:02:26Z","title":"FastTPS: An Optimized Method for LLM Token Phase for AI accelerators"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.11211","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:eb9c6d82f4c7bdf04b8ec7cea2dc2112b33426d5fd6c1d0c182434f3c218d2eb","target":"record","created_at":"2026-07-14T01:22:22Z","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":"a5f788bb328214879edb7859101896e16aa218773911907899e2498de10385ad","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-07-13T08:02:26Z","title_canon_sha256":"4512157079579db8519fc4d8e9eaabbb1b57b1527263b579d98d4747b7ef147b"},"schema_version":"1.0","source":{"id":"2607.11211","kind":"arxiv","version":1}},"canonical_sha256":"da608458e6de656d6c68492f06ba3ec495da93da793ea0ec525891ed89f05922","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"da608458e6de656d6c68492f06ba3ec495da93da793ea0ec525891ed89f05922","first_computed_at":"2026-07-14T01:22:22.743772Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-14T01:22:22.743772Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"C3cqwcHA9Z6gsbEVHNbvgSJ3WhMz8GRQa9y2OIOyyOj8BdoxJFzBk0sbPi5rHnARc/mS/48Q3As2lT4NNQsZDQ==","signature_status":"signed_v1","signed_at":"2026-07-14T01:22:22.744661Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.11211","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:eb9c6d82f4c7bdf04b8ec7cea2dc2112b33426d5fd6c1d0c182434f3c218d2eb","sha256:034a59c8795d6e431be6032e0b426c1c36358ebad4fa2d55bde54f07948ec8f8"],"state_sha256":"accb227a02acc09683d8b19dc2db12ea377ba80ea0106f5baca0b45f1ad14438"}