{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:2H2GUTNWQRPJIAQDQS7G7DKXYY","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":"aabc26782ab9db7a92fac2364e17fb063a71ab34ffffd647eac67079c5a160e6","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-02-04T17:41:53Z","title_canon_sha256":"93532586a02f17e50946e27a7c4083471c60b8e5f8dad1c150a75e28e58d5cf0"},"schema_version":"1.0","source":{"id":"2602.04789","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.04789","created_at":"2026-05-26T01:03:24Z"},{"alias_kind":"arxiv_version","alias_value":"2602.04789v2","created_at":"2026-05-26T01:03:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.04789","created_at":"2026-05-26T01:03:24Z"},{"alias_kind":"pith_short_12","alias_value":"2H2GUTNWQRPJ","created_at":"2026-05-26T01:03:24Z"},{"alias_kind":"pith_short_16","alias_value":"2H2GUTNWQRPJIAQD","created_at":"2026-05-26T01:03:24Z"},{"alias_kind":"pith_short_8","alias_value":"2H2GUTNW","created_at":"2026-05-26T01:03:24Z"}],"graph_snapshots":[{"event_id":"sha256:3102ba81df95935a92dc174b2e6b4631fed509fc01b42bf9c93f065b5f1e9509","target":"graph","created_at":"2026-05-26T01:03:24Z","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/2602.04789/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Advanced autoregressive (AR) video generation models have improved visual fidelity and interactivity, but the quadratic complexity of attention remains a primary bottleneck for efficient deployment. While existing sparse attention solutions have shown promise on bidirectional models, we identify that applying these solutions to AR models leads to considerable performance degradation for two reasons: isolated consideration of chunk generation and insufficient utilization of past informative context. Motivated by these observations, we propose \\textsc{Light Forcing}, the \\textit{first} sparse at","authors_text":"Chengtao Lv, Ruihao Gong, Shen Ren, Wenya Wang, Yumeng Shi, Yushi Huang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-02-04T17:41:53Z","title":"Light Forcing: Accelerating Autoregressive Video Diffusion via Sparse Attention"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.04789","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":"sha256:7b3c63dee457177d3953d1ead3d8ae20d3111938abf4fcc600ceab8d6076d932","target":"record","created_at":"2026-05-26T01:03:24Z","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":"aabc26782ab9db7a92fac2364e17fb063a71ab34ffffd647eac67079c5a160e6","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-02-04T17:41:53Z","title_canon_sha256":"93532586a02f17e50946e27a7c4083471c60b8e5f8dad1c150a75e28e58d5cf0"},"schema_version":"1.0","source":{"id":"2602.04789","kind":"arxiv","version":2}},"canonical_sha256":"d1f46a4db6845e94020384be6f8d57c62597ed6e0da23acec532a66db659e883","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d1f46a4db6845e94020384be6f8d57c62597ed6e0da23acec532a66db659e883","first_computed_at":"2026-05-26T01:03:24.621522Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-26T01:03:24.621522Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LxGZR0ISPXK/OigC6JgFcK3gqtmao11EU97z+SSSQrUrkwbmHBtji1U+tBNOB+vUghKVfqw2GwcvN+xl0AkFCQ==","signature_status":"signed_v1","signed_at":"2026-05-26T01:03:24.622305Z","signed_message":"canonical_sha256_bytes"},"source_id":"2602.04789","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7b3c63dee457177d3953d1ead3d8ae20d3111938abf4fcc600ceab8d6076d932","sha256:3102ba81df95935a92dc174b2e6b4631fed509fc01b42bf9c93f065b5f1e9509"],"state_sha256":"e9ab0582ae3166b07ca20792fb9f81712ad4c3a980cca4a8695e3f16a8906f61"}