{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:IAFPI7WN6SGZW55BGMRMJHK2XI","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":"9248f8b209241dea23dd7829ef432ec4ba4650967f9bfcce610b42ddc058faf4","cross_cats_sorted":["cs.LG","math.PR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2024-07-22T08:13:13Z","title_canon_sha256":"6019de32a2a9da4af23a94d2efad8c4cb774b811437aa9280b91feb2195ddd12"},"schema_version":"1.0","source":{"id":"2407.15455","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.15455","created_at":"2026-07-05T10:30:21Z"},{"alias_kind":"arxiv_version","alias_value":"2407.15455v3","created_at":"2026-07-05T10:30:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.15455","created_at":"2026-07-05T10:30:21Z"},{"alias_kind":"pith_short_12","alias_value":"IAFPI7WN6SGZ","created_at":"2026-07-05T10:30:21Z"},{"alias_kind":"pith_short_16","alias_value":"IAFPI7WN6SGZW55B","created_at":"2026-07-05T10:30:21Z"},{"alias_kind":"pith_short_8","alias_value":"IAFPI7WN","created_at":"2026-07-05T10:30:21Z"}],"graph_snapshots":[{"event_id":"sha256:e07869390622499e1d6b9e07cd55a8acabc4e47fa498a0f4952e9d9b25a67a6e","target":"graph","created_at":"2026-07-05T10:30:21Z","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/2407.15455/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose a new algorithm for learning bridged diffusion processes using score-matching methods. Our method relies on reversing the dynamics of the forward process and using this to learn a score function, which, via Doob's $h$-transform, yields a bridged diffusion process; that is, a process conditioned on an endpoint. In contrast to prior methods, we learn the score term $\\nabla_x \\log p(t, x; T, y)$ directly, for given $t, y$, completely avoiding first learning a time-reversal. We compare the performance of our algorithm with existing methods and see that it outperforms using the (learned)","authors_text":"Elizabeth L. Baker, Moritz Schauer, Stefan Sommer","cross_cats":["cs.LG","math.PR"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2024-07-22T08:13:13Z","title":"Score matching for bridges without learning time-reversals"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.15455","kind":"arxiv","version":3},"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":"sha256:0d65d4f5a0d77b4b75db75a69a1681c0c595067d2a693800d4834f8863b2215d","target":"record","created_at":"2026-07-05T10:30:21Z","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":"9248f8b209241dea23dd7829ef432ec4ba4650967f9bfcce610b42ddc058faf4","cross_cats_sorted":["cs.LG","math.PR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2024-07-22T08:13:13Z","title_canon_sha256":"6019de32a2a9da4af23a94d2efad8c4cb774b811437aa9280b91feb2195ddd12"},"schema_version":"1.0","source":{"id":"2407.15455","kind":"arxiv","version":3}},"canonical_sha256":"400af47ecdf48d9b77a13322c49d5aba143e00941780ee10e8841effa0cb2ed5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"400af47ecdf48d9b77a13322c49d5aba143e00941780ee10e8841effa0cb2ed5","first_computed_at":"2026-07-05T10:30:21.801583Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:30:21.801583Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"IUHPD4rnJu2NWY74d3Z47QfHSMkH2x+UWWwjvPY0RrxvWG0AqdJT+mabgj/X4gojUoU7kXlH5SCE4S625+HsCw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:30:21.802739Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.15455","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0d65d4f5a0d77b4b75db75a69a1681c0c595067d2a693800d4834f8863b2215d","sha256:e07869390622499e1d6b9e07cd55a8acabc4e47fa498a0f4952e9d9b25a67a6e"],"state_sha256":"9c403af37246fd1c4b5148b8245d87b9b17a416c9522c2f3af57ceb5b6195caf"}