{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:33PF7K2IGWTYZZVKX3GRTPDHN5","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":"aa59867133cdd0f72d4a465233c171498d3de6def42efe89273df88464e0adc8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-02-24T17:28:08Z","title_canon_sha256":"cf8a21b6e98100d8be3dd11974511a94f23e26f40f8640112fa33ac18002e8f6"},"schema_version":"1.0","source":{"id":"2302.12764","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2302.12764","created_at":"2026-07-05T06:11:32Z"},{"alias_kind":"arxiv_version","alias_value":"2302.12764v2","created_at":"2026-07-05T06:11:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2302.12764","created_at":"2026-07-05T06:11:32Z"},{"alias_kind":"pith_short_12","alias_value":"33PF7K2IGWTY","created_at":"2026-07-05T06:11:32Z"},{"alias_kind":"pith_short_16","alias_value":"33PF7K2IGWTYZZVK","created_at":"2026-07-05T06:11:32Z"},{"alias_kind":"pith_short_8","alias_value":"33PF7K2I","created_at":"2026-07-05T06:11:32Z"}],"graph_snapshots":[{"event_id":"sha256:745975847072e9773b72ea46185df8f42e912fe55b33642c98b2578157e1eea6","target":"graph","created_at":"2026-07-05T06:11:32Z","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/2302.12764/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present multimodal conditioning modules (MCM) for enabling conditional image synthesis using pretrained diffusion models. Previous multimodal synthesis works rely on training networks from scratch or fine-tuning pretrained networks, both of which are computationally expensive for large, state-of-the-art diffusion models. Our method uses pretrained networks but \\textit{does not require any updates to the diffusion network's parameters}. MCM is a small module trained to modulate the diffusion network's predictions during sampling using 2D modalities (e.g., semantic segmentation maps, sketches","authors_text":"Cusuh Ham, James Hays, Jingwan Lu, Krishna Kumar Singh, Tobias Hinz, Zhifei Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-02-24T17:28:08Z","title":"Modulating Pretrained Diffusion Models for Multimodal Image Synthesis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2302.12764","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:bb670c6919efe21139109fc3223d217e3b0fcd81436987a92d625aa9a11636d9","target":"record","created_at":"2026-07-05T06:11:32Z","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":"aa59867133cdd0f72d4a465233c171498d3de6def42efe89273df88464e0adc8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-02-24T17:28:08Z","title_canon_sha256":"cf8a21b6e98100d8be3dd11974511a94f23e26f40f8640112fa33ac18002e8f6"},"schema_version":"1.0","source":{"id":"2302.12764","kind":"arxiv","version":2}},"canonical_sha256":"dede5fab4835a78ce6aabecd19bc676f4cdd79b19aef40b82eb528e89a10958f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dede5fab4835a78ce6aabecd19bc676f4cdd79b19aef40b82eb528e89a10958f","first_computed_at":"2026-07-05T06:11:32.691829Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:11:32.691829Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YcEoaU6/q2q4O8gM8XsALwcX65urzyOG0JIUOtIwdtiNCDHtTNokQfwVCCpskoINsk/9DA7TGUR0SSCzVwZYAw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:11:32.692293Z","signed_message":"canonical_sha256_bytes"},"source_id":"2302.12764","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bb670c6919efe21139109fc3223d217e3b0fcd81436987a92d625aa9a11636d9","sha256:745975847072e9773b72ea46185df8f42e912fe55b33642c98b2578157e1eea6"],"state_sha256":"615a5d6655b0c0660e07b71526fd09b95d162988c2d8f647dd89937e1c102a85"}