{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:BBF3RK6ZAWIUET7V24FGJSCJDQ","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":"14245ba8857c314333889c9a70f18fb333f40104213c7047900957c3b92e4be7","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-02-12T17:35:43Z","title_canon_sha256":"f432edb7f9c45846dc91c77e2c5b53acddec09655733b7a9256e4a26711e1ebb"},"schema_version":"1.0","source":{"id":"2502.08598","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.08598","created_at":"2026-07-05T11:14:03Z"},{"alias_kind":"arxiv_version","alias_value":"2502.08598v2","created_at":"2026-07-05T11:14:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.08598","created_at":"2026-07-05T11:14:03Z"},{"alias_kind":"pith_short_12","alias_value":"BBF3RK6ZAWIU","created_at":"2026-07-05T11:14:03Z"},{"alias_kind":"pith_short_16","alias_value":"BBF3RK6ZAWIUET7V","created_at":"2026-07-05T11:14:03Z"},{"alias_kind":"pith_short_8","alias_value":"BBF3RK6Z","created_at":"2026-07-05T11:14:03Z"}],"graph_snapshots":[{"event_id":"sha256:fd83e5047bb0da943312e6cef6795c7578f1bd3eb5a0e926c59410dd3579dadb","target":"graph","created_at":"2026-07-05T11:14:03Z","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/2502.08598/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The long sampling time of diffusion models remains a significant bottleneck, which can be mitigated by reducing the number of diffusion time steps. However, the quality of samples with fewer steps is highly dependent on the noise schedule, i.e., the specific manner in which noise is introduced and the signal is reduced at each step. Although prior work has improved upon the original variance-preserving and variance-exploding schedules, these approaches $\\textit{passively}$ adjust the total variance, without direct control over it. In this work, we propose a novel total-variance/signal-to-noise","authors_text":"Khaled Kahouli, Klaus-Robert M\\\"uller, Oliver T. Unke, Shinichi Nakajima, Stefan Gugler, Winfried Ripken","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-02-12T17:35:43Z","title":"Disentangling Total-Variance and Signal-to-Noise-Ratio Improves Diffusion Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.08598","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":"sha256:1b5d131dc81b3921756f8c41cb9b9b0439ec816693fc451182abfeebcd31e4cd","target":"record","created_at":"2026-07-05T11:14:03Z","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":"14245ba8857c314333889c9a70f18fb333f40104213c7047900957c3b92e4be7","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-02-12T17:35:43Z","title_canon_sha256":"f432edb7f9c45846dc91c77e2c5b53acddec09655733b7a9256e4a26711e1ebb"},"schema_version":"1.0","source":{"id":"2502.08598","kind":"arxiv","version":2}},"canonical_sha256":"084bb8abd90591424ff5d70a64c8491c2787e7e67b615555813eaac717e17872","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"084bb8abd90591424ff5d70a64c8491c2787e7e67b615555813eaac717e17872","first_computed_at":"2026-07-05T11:14:03.790668Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:14:03.790668Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hcIjwm8GZ6Egfxo0Jz8S02P2BQwVrgIvYy5UMdLtP02TfKrC0swaCNUmWXCDjDX3wYkBnyiSkKPYl9gTDxO4DQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:14:03.791183Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.08598","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1b5d131dc81b3921756f8c41cb9b9b0439ec816693fc451182abfeebcd31e4cd","sha256:fd83e5047bb0da943312e6cef6795c7578f1bd3eb5a0e926c59410dd3579dadb"],"state_sha256":"9fcbc644ab219832505066ae2341f818253ff55a49363cfcc8c16a2780effa29"}