{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:WPF2XANGKI7DFRWAFIYPTEDWFK","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":"bfd3488fa50319d316cf8323d08ef7364222ab532140b4bfa42612664f52b33d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-22T08:34:03Z","title_canon_sha256":"8dae2e0df0774a52d16329b5c440c2e6716ae4a7745cca253d526982b5c21c7b"},"schema_version":"1.0","source":{"id":"2508.16211","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.16211","created_at":"2026-07-05T11:57:44Z"},{"alias_kind":"arxiv_version","alias_value":"2508.16211v1","created_at":"2026-07-05T11:57:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.16211","created_at":"2026-07-05T11:57:44Z"},{"alias_kind":"pith_short_12","alias_value":"WPF2XANGKI7D","created_at":"2026-07-05T11:57:44Z"},{"alias_kind":"pith_short_16","alias_value":"WPF2XANGKI7DFRWA","created_at":"2026-07-05T11:57:44Z"},{"alias_kind":"pith_short_8","alias_value":"WPF2XANG","created_at":"2026-07-05T11:57:44Z"}],"graph_snapshots":[{"event_id":"sha256:1edbc24f32febf2507c6edb950dbc329b621d1b420966cdeaf968e461dedfb09","target":"graph","created_at":"2026-07-05T11:57:44Z","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/2508.16211/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Diffusion Transformers (DiTs) have demonstrated exceptional performance in high-fidelity image and video generation. To reduce their substantial computational costs, feature caching techniques have been proposed to accelerate inference by reusing hidden representations from previous timesteps. However, current methods often struggle to maintain generation quality at high acceleration ratios, where prediction errors increase sharply due to the inherent instability of long-step forecasting. In this work, we adopt an ordinary differential equation (ODE) perspective on the hidden-feature sequence,","authors_text":"Chang Zou, Jiacheng Liu, Junjie Chen, Liang Feng, Linfeng Zhang, Peiliang Cai, Qinming Zhou, Shikang Zheng, Xinyu Wang, Yue Ma, Yuqi Lin","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-22T08:34:03Z","title":"Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.16211","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:a17d8005271d53058cbbb5f6879c9fefd3bc704d92aa76d43d43a058fc7f23c6","target":"record","created_at":"2026-07-05T11:57:44Z","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":"bfd3488fa50319d316cf8323d08ef7364222ab532140b4bfa42612664f52b33d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-22T08:34:03Z","title_canon_sha256":"8dae2e0df0774a52d16329b5c440c2e6716ae4a7745cca253d526982b5c21c7b"},"schema_version":"1.0","source":{"id":"2508.16211","kind":"arxiv","version":1}},"canonical_sha256":"b3cbab81a6523e32c6c02a30f990762ab06376a4ae047a7c9a470de36ba74da0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b3cbab81a6523e32c6c02a30f990762ab06376a4ae047a7c9a470de36ba74da0","first_computed_at":"2026-07-05T11:57:44.036043Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:57:44.036043Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LHoeL5gf6LWsk45Yu0UtzPiBpaBJqOlB8MbmAOVyAzBUpbSeZlgn+APAIYZCmmfsYstyDjSJgn339pGoj1ffBg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:57:44.036517Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.16211","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a17d8005271d53058cbbb5f6879c9fefd3bc704d92aa76d43d43a058fc7f23c6","sha256:1edbc24f32febf2507c6edb950dbc329b621d1b420966cdeaf968e461dedfb09"],"state_sha256":"5586842d81784013eb25fd3ed73034aa7cd21767d8a5342bba09adc8b4285c32"}