{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:OIPAHHU3Z7XH6PBUIC7NMTZCP3","short_pith_number":"pith:OIPAHHU3","canonical_record":{"source":{"id":"2502.03686","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-06T00:24:39Z","cross_cats_sorted":["cs.AI","cs.CV","stat.ML"],"title_canon_sha256":"1ec83d96e1ec3659c9b438b676c8d8201b7a3b72f8937791299d284ab2bd7a7e","abstract_canon_sha256":"11ddcf9f8924b3e43e66cebed54f1977e2190c289e9a58c2a76779963232de15"},"schema_version":"1.0"},"canonical_sha256":"721e039e9bcfee7f3c3440bed64f227ef2eb7981555f3efcb24a76ece531163f","source":{"kind":"arxiv","id":"2502.03686","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.03686","created_at":"2026-07-05T11:08:40Z"},{"alias_kind":"arxiv_version","alias_value":"2502.03686v2","created_at":"2026-07-05T11:08:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.03686","created_at":"2026-07-05T11:08:40Z"},{"alias_kind":"pith_short_12","alias_value":"OIPAHHU3Z7XH","created_at":"2026-07-05T11:08:40Z"},{"alias_kind":"pith_short_16","alias_value":"OIPAHHU3Z7XH6PBU","created_at":"2026-07-05T11:08:40Z"},{"alias_kind":"pith_short_8","alias_value":"OIPAHHU3","created_at":"2026-07-05T11:08:40Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:OIPAHHU3Z7XH6PBUIC7NMTZCP3","target":"record","payload":{"canonical_record":{"source":{"id":"2502.03686","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-06T00:24:39Z","cross_cats_sorted":["cs.AI","cs.CV","stat.ML"],"title_canon_sha256":"1ec83d96e1ec3659c9b438b676c8d8201b7a3b72f8937791299d284ab2bd7a7e","abstract_canon_sha256":"11ddcf9f8924b3e43e66cebed54f1977e2190c289e9a58c2a76779963232de15"},"schema_version":"1.0"},"canonical_sha256":"721e039e9bcfee7f3c3440bed64f227ef2eb7981555f3efcb24a76ece531163f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:08:40.170568Z","signature_b64":"LxZ3Lc8Is33tbGXrgH2BMyoMveq4du/zi6bBqP+p/LqxRy+RIVkJBUbASYp/BKIaMhJtrpHRo2eggOgcSgJNCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"721e039e9bcfee7f3c3440bed64f227ef2eb7981555f3efcb24a76ece531163f","last_reissued_at":"2026-07-05T11:08:40.170110Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:08:40.170110Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.03686","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:08:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nHaio5PS2UdpplpItkkI+it3v+CGVn92HEKNlwvNhvA0xd22RDJtCwVUx4YlKthrGZvy/nuEEoa+RwWP0/eTAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T07:17:52.155917Z"},"content_sha256":"3aef5d729b28fe17b94886d086332886392e32643cd39653d2dc7e5e36c80d19","schema_version":"1.0","event_id":"sha256:3aef5d729b28fe17b94886d086332886392e32643cd39653d2dc7e5e36c80d19"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:OIPAHHU3Z7XH6PBUIC7NMTZCP3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Variational Control for Guidance in Diffusion Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CV","stat.ML"],"primary_cat":"cs.LG","authors_text":"Farrin Marouf Sofian, Felix Draxler, Kushagra Pandey, Stephan Mandt, Theofanis Karaletsos","submitted_at":"2025-02-06T00:24:39Z","abstract_excerpt":"Diffusion models exhibit excellent sample quality, but existing guidance methods often require additional model training or are limited to specific tasks. We revisit guidance in diffusion models from the perspective of variational inference and control, introducing Diffusion Trajectory Matching (DTM) that enables guiding pretrained diffusion trajectories to satisfy a terminal cost. DTM unifies a broad class of guidance methods and enables novel instantiations. We introduce a new method within this framework that achieves state-of-the-art results on several linear, non-linear, and blind inverse"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.03686","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2502.03686/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:08:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"p7vk3gX/o/R4dDK1T4SXwUmtVKCycAIJiBabCgFYp8ZxIa9XTn1n7s/zSQlJJExU73f4P/X8O3IoF3DPwYCABg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T07:17:52.156399Z"},"content_sha256":"51227b2c4e72111c7d2421ca7f47689b0d3596c42c0d51b6386c5d88a848e5f8","schema_version":"1.0","event_id":"sha256:51227b2c4e72111c7d2421ca7f47689b0d3596c42c0d51b6386c5d88a848e5f8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OIPAHHU3Z7XH6PBUIC7NMTZCP3/bundle.json","state_url":"https://pith.science/pith/OIPAHHU3Z7XH6PBUIC7NMTZCP3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OIPAHHU3Z7XH6PBUIC7NMTZCP3/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-05T07:17:52Z","links":{"resolver":"https://pith.science/pith/OIPAHHU3Z7XH6PBUIC7NMTZCP3","bundle":"https://pith.science/pith/OIPAHHU3Z7XH6PBUIC7NMTZCP3/bundle.json","state":"https://pith.science/pith/OIPAHHU3Z7XH6PBUIC7NMTZCP3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OIPAHHU3Z7XH6PBUIC7NMTZCP3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:OIPAHHU3Z7XH6PBUIC7NMTZCP3","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":"11ddcf9f8924b3e43e66cebed54f1977e2190c289e9a58c2a76779963232de15","cross_cats_sorted":["cs.AI","cs.CV","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-06T00:24:39Z","title_canon_sha256":"1ec83d96e1ec3659c9b438b676c8d8201b7a3b72f8937791299d284ab2bd7a7e"},"schema_version":"1.0","source":{"id":"2502.03686","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.03686","created_at":"2026-07-05T11:08:40Z"},{"alias_kind":"arxiv_version","alias_value":"2502.03686v2","created_at":"2026-07-05T11:08:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.03686","created_at":"2026-07-05T11:08:40Z"},{"alias_kind":"pith_short_12","alias_value":"OIPAHHU3Z7XH","created_at":"2026-07-05T11:08:40Z"},{"alias_kind":"pith_short_16","alias_value":"OIPAHHU3Z7XH6PBU","created_at":"2026-07-05T11:08:40Z"},{"alias_kind":"pith_short_8","alias_value":"OIPAHHU3","created_at":"2026-07-05T11:08:40Z"}],"graph_snapshots":[{"event_id":"sha256:51227b2c4e72111c7d2421ca7f47689b0d3596c42c0d51b6386c5d88a848e5f8","target":"graph","created_at":"2026-07-05T11:08:40Z","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/2502.03686/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Diffusion models exhibit excellent sample quality, but existing guidance methods often require additional model training or are limited to specific tasks. We revisit guidance in diffusion models from the perspective of variational inference and control, introducing Diffusion Trajectory Matching (DTM) that enables guiding pretrained diffusion trajectories to satisfy a terminal cost. DTM unifies a broad class of guidance methods and enables novel instantiations. We introduce a new method within this framework that achieves state-of-the-art results on several linear, non-linear, and blind inverse","authors_text":"Farrin Marouf Sofian, Felix Draxler, Kushagra Pandey, Stephan Mandt, Theofanis Karaletsos","cross_cats":["cs.AI","cs.CV","stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-06T00:24:39Z","title":"Variational Control for Guidance in Diffusion Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.03686","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":"sha256:3aef5d729b28fe17b94886d086332886392e32643cd39653d2dc7e5e36c80d19","target":"record","created_at":"2026-07-05T11:08:40Z","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":"11ddcf9f8924b3e43e66cebed54f1977e2190c289e9a58c2a76779963232de15","cross_cats_sorted":["cs.AI","cs.CV","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-06T00:24:39Z","title_canon_sha256":"1ec83d96e1ec3659c9b438b676c8d8201b7a3b72f8937791299d284ab2bd7a7e"},"schema_version":"1.0","source":{"id":"2502.03686","kind":"arxiv","version":2}},"canonical_sha256":"721e039e9bcfee7f3c3440bed64f227ef2eb7981555f3efcb24a76ece531163f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"721e039e9bcfee7f3c3440bed64f227ef2eb7981555f3efcb24a76ece531163f","first_computed_at":"2026-07-05T11:08:40.170110Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:08:40.170110Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LxZ3Lc8Is33tbGXrgH2BMyoMveq4du/zi6bBqP+p/LqxRy+RIVkJBUbASYp/BKIaMhJtrpHRo2eggOgcSgJNCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:08:40.170568Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.03686","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3aef5d729b28fe17b94886d086332886392e32643cd39653d2dc7e5e36c80d19","sha256:51227b2c4e72111c7d2421ca7f47689b0d3596c42c0d51b6386c5d88a848e5f8"],"state_sha256":"846fe3229bc6242706a17388f029ad0127b312c26adf2d39f08e6c28b62baa05"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"phre8+Oxzsne6nTWV/mTiEc1kZJZZbFluRRVJYGUhWEp3/H6BlTzovm+T9gvGjOmyyWm54/pGwLP1bofRUT2Dw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T07:17:52.159852Z","bundle_sha256":"63a4474f98ca5014c5a4c1069eae8cdf4a2918837ea61bd0947c814ac454ec39"}}