{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:2BDJUJWBSRNKZEQ6O7T2KEHTFH","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":"bb871d6bbf82da56de5755f8c29d8b7c561fd8dbd90475575fdc16f5d663b6d1","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-17T05:00:39Z","title_canon_sha256":"70ece2f7ab15d5239756fde8cbbfae8cf90cc2796c6544b75a9d032c6d672dfc"},"schema_version":"1.0","source":{"id":"2505.14709","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.14709","created_at":"2026-07-05T11:06:34Z"},{"alias_kind":"arxiv_version","alias_value":"2505.14709v1","created_at":"2026-07-05T11:06:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.14709","created_at":"2026-07-05T11:06:34Z"},{"alias_kind":"pith_short_12","alias_value":"2BDJUJWBSRNK","created_at":"2026-07-05T11:06:34Z"},{"alias_kind":"pith_short_16","alias_value":"2BDJUJWBSRNKZEQ6","created_at":"2026-07-05T11:06:34Z"},{"alias_kind":"pith_short_8","alias_value":"2BDJUJWB","created_at":"2026-07-05T11:06:34Z"}],"graph_snapshots":[{"event_id":"sha256:00306029cdbb924adbb7886105d85bf0534ba9ccf37109e7b62745ebf9f11d87","target":"graph","created_at":"2026-07-05T11:06:34Z","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/2505.14709/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Auto-regressive (AR) models, initially successful in language generation, have recently shown promise in visual generation tasks due to their superior sampling efficiency. Unlike image generation, video generation requires a substantially larger number of tokens to produce coherent temporal frames, resulting in significant overhead during the decoding phase. Our key observations are: (i) MLP modules in the decode phase dominate the inference latency, and (ii) there exists high temporal redundancy in MLP outputs of adjacent frames. In this paper, we propose the \\textbf{FastCar} framework to acc","authors_text":"Enhao Tang, Henghui Ding, Jiuxiang Gu, Jun Lin, Pu Zhao, Quanyi Wang, Weize Ma, Xuan Shen, Yanyue Xie, Yanzhi Wang, Yifan Gong, Yiwei Wang, Yufa Zhou, Zhengang Li","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-17T05:00:39Z","title":"FastCar: Cache Attentive Replay for Fast Auto-Regressive Video Generation on the Edge"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.14709","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:a429d32e7c8288a70894c0183f5f55a674cd53d20d80379c4a217288f5363471","target":"record","created_at":"2026-07-05T11:06:34Z","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":"bb871d6bbf82da56de5755f8c29d8b7c561fd8dbd90475575fdc16f5d663b6d1","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-17T05:00:39Z","title_canon_sha256":"70ece2f7ab15d5239756fde8cbbfae8cf90cc2796c6544b75a9d032c6d672dfc"},"schema_version":"1.0","source":{"id":"2505.14709","kind":"arxiv","version":1}},"canonical_sha256":"d0469a26c1945aac921e77e7a510f329cab8eafddede8ce31cee19f3fa4badfa","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d0469a26c1945aac921e77e7a510f329cab8eafddede8ce31cee19f3fa4badfa","first_computed_at":"2026-07-05T11:06:34.118953Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:06:34.118953Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3crVvKCaN77rJ104wmcyz3mesopqMKK7VBNmKdKaFqgOA9xe8Slyy7ZGmz/dPl5zBkUA8zGVlq4QCPghqv+zAA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:06:34.119441Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.14709","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a429d32e7c8288a70894c0183f5f55a674cd53d20d80379c4a217288f5363471","sha256:00306029cdbb924adbb7886105d85bf0534ba9ccf37109e7b62745ebf9f11d87"],"state_sha256":"b419f5078e5ec8c84def45eadf13c20748fbd46328570124007362c0f7097a81"}