{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:SL7IVJR2RPMRI7K3FMOAZOCLDW","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":"9581dd110bec9189fecc35e9472900819d9d408534afe00daa2ec2cb3ffcf91d","cross_cats_sorted":["cs.CV","cs.SE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-13T09:57:04Z","title_canon_sha256":"ee4159e055612c8d920c9ff5290b83d6cbba4b24478aacbc450db7a298e14617"},"schema_version":"1.0","source":{"id":"2607.20545","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.20545","created_at":"2026-07-24T00:23:21Z"},{"alias_kind":"arxiv_version","alias_value":"2607.20545v1","created_at":"2026-07-24T00:23:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.20545","created_at":"2026-07-24T00:23:21Z"},{"alias_kind":"pith_short_12","alias_value":"SL7IVJR2RPMR","created_at":"2026-07-24T00:23:21Z"},{"alias_kind":"pith_short_16","alias_value":"SL7IVJR2RPMRI7K3","created_at":"2026-07-24T00:23:21Z"},{"alias_kind":"pith_short_8","alias_value":"SL7IVJR2","created_at":"2026-07-24T00:23:21Z"}],"graph_snapshots":[{"event_id":"sha256:e58cdcc2df972cee60ecb2b6245701c3f22263d20cfe3b66142838fc9a27e6d5","target":"graph","created_at":"2026-07-24T00:23:21Z","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/2607.20545/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Diffusion models have become competitive generators for time series, but their practical use is limited by the large number of sequential denoising steps required at inference time. Existing fast samplers typically use fixed or generic timestep schedules, overlooking a distinctive property of time-series diffusion: different spectral bands evolve at different rates during the reverse process. We introduce StrideDiffusion, a training-free spectral-aware sampler that adaptively selects the denoising stride from band-level activity. At each step, StrideDiffusion monitors relative band energy, log","authors_text":"Du Yin, Estrid He, Feng Hu, Flora Salim, Hao Xue, Juli\\'an Jer\\'onimo Ba\\~nuelos, Stephan Sigg, Yang Yang, Yuchen Luo","cross_cats":["cs.CV","cs.SE"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-13T09:57:04Z","title":"StrideDiffusion: Accelerating Diffusion Models for Time-series Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.20545","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:bbade27caa227d8251c6bdc9fd80e5b2aaef0d30e52c496783f491737e937930","target":"record","created_at":"2026-07-24T00:23:21Z","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":"9581dd110bec9189fecc35e9472900819d9d408534afe00daa2ec2cb3ffcf91d","cross_cats_sorted":["cs.CV","cs.SE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-13T09:57:04Z","title_canon_sha256":"ee4159e055612c8d920c9ff5290b83d6cbba4b24478aacbc450db7a298e14617"},"schema_version":"1.0","source":{"id":"2607.20545","kind":"arxiv","version":1}},"canonical_sha256":"92fe8aa63a8bd9147d5b2b1c0cb84b1da742f4892686b0fc2f38eab9574a7ecf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"92fe8aa63a8bd9147d5b2b1c0cb84b1da742f4892686b0fc2f38eab9574a7ecf","first_computed_at":"2026-07-24T00:23:21.798713Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-24T00:23:21.798713Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xAeO0/zEsyL8CHuNTQl9/ZFNHitix8Rn5cbYrchAl0F4Z9v735srnKZ6IaOzH09bBASd8htzCPEI6Oq/4OBrBw==","signature_status":"signed_v1","signed_at":"2026-07-24T00:23:21.799710Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.20545","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bbade27caa227d8251c6bdc9fd80e5b2aaef0d30e52c496783f491737e937930","sha256:e58cdcc2df972cee60ecb2b6245701c3f22263d20cfe3b66142838fc9a27e6d5"],"state_sha256":"ee93cda937771b1d973efd2b1777ea1553fb0ef005670c5f0da53f8f54404f3c"}