{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:ZWUEW6I37FFLZJJ3KW3SRQE56Z","short_pith_number":"pith:ZWUEW6I3","canonical_record":{"source":{"id":"2311.17951","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-11-29T07:11:56Z","cross_cats_sorted":[],"title_canon_sha256":"25e1992d9813461ec67832d159b9fd9022446c25989507ad3135201e299d5ea2","abstract_canon_sha256":"e614692f3f4d074fd1c4e972745fd0a44e60a19876a5462262ecdde1377dfd30"},"schema_version":"1.0"},"canonical_sha256":"cda84b791bf94abca53b55b728c09df66261b45ae60826a2c7097b7b0fd5b1d9","source":{"kind":"arxiv","id":"2311.17951","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.17951","created_at":"2026-07-05T07:18:34Z"},{"alias_kind":"arxiv_version","alias_value":"2311.17951v1","created_at":"2026-07-05T07:18:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.17951","created_at":"2026-07-05T07:18:34Z"},{"alias_kind":"pith_short_12","alias_value":"ZWUEW6I37FFL","created_at":"2026-07-05T07:18:34Z"},{"alias_kind":"pith_short_16","alias_value":"ZWUEW6I37FFLZJJ3","created_at":"2026-07-05T07:18:34Z"},{"alias_kind":"pith_short_8","alias_value":"ZWUEW6I3","created_at":"2026-07-05T07:18:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:ZWUEW6I37FFLZJJ3KW3SRQE56Z","target":"record","payload":{"canonical_record":{"source":{"id":"2311.17951","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-11-29T07:11:56Z","cross_cats_sorted":[],"title_canon_sha256":"25e1992d9813461ec67832d159b9fd9022446c25989507ad3135201e299d5ea2","abstract_canon_sha256":"e614692f3f4d074fd1c4e972745fd0a44e60a19876a5462262ecdde1377dfd30"},"schema_version":"1.0"},"canonical_sha256":"cda84b791bf94abca53b55b728c09df66261b45ae60826a2c7097b7b0fd5b1d9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:18:34.033937Z","signature_b64":"Uy2uJXbpbDvOdpZ3rXSbJRtzXLUJPNmABkhfKOEYsxqS/yJ/TW1vzogw6tq7zkXUq4YmXHC6qdOSnD3/FDB/Aw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cda84b791bf94abca53b55b728c09df66261b45ae60826a2c7097b7b0fd5b1d9","last_reissued_at":"2026-07-05T07:18:34.033449Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:18:34.033449Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.17951","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:18:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MqLnfD4kC9oFwlzjgJaYR5GLBqoODH/x4FlLucRCK+uXP2KKyDUm9kHdgZ6+IUqpdXO7oowO3Mt5d8przHM7Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T23:17:32.015384Z"},"content_sha256":"8d40db6783338e69c8f8564af023b2a06b5c232ec97ab2c755cc3e96fceb65ca","schema_version":"1.0","event_id":"sha256:8d40db6783338e69c8f8564af023b2a06b5c232ec97ab2c755cc3e96fceb65ca"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:ZWUEW6I37FFLZJJ3KW3SRQE56Z","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"C3Net: Compound Conditioned ControlNet for Multimodal Content Generation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Chi-Keung Tang, Juntao Zhang, Yuehuai Liu, Yu-Wing Tai","submitted_at":"2023-11-29T07:11:56Z","abstract_excerpt":"We present Compound Conditioned ControlNet, C3Net, a novel generative neural architecture taking conditions from multiple modalities and synthesizing multimodal contents simultaneously (e.g., image, text, audio). C3Net adapts the ControlNet architecture to jointly train and make inferences on a production-ready diffusion model and its trainable copies. Specifically, C3Net first aligns the conditions from multi-modalities to the same semantic latent space using modality-specific encoders based on contrastive training. Then, it generates multimodal outputs based on the aligned latent space, whos"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.17951","kind":"arxiv","version":1},"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/2311.17951/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":"2026-07-05T07:18:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XS8GmiLqBtkvQ/2QB+F/EAzxdc7DI9k3/gXdspd+lqqbbb0ACMEQIxTWqqcpczPqUriBUgDaz2XGUh8xt4mtDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T23:17:32.015876Z"},"content_sha256":"03183e89b06a88e746903094cb3857db2e8ac8b79a9ad9bd737c32ead6698932","schema_version":"1.0","event_id":"sha256:03183e89b06a88e746903094cb3857db2e8ac8b79a9ad9bd737c32ead6698932"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZWUEW6I37FFLZJJ3KW3SRQE56Z/bundle.json","state_url":"https://pith.science/pith/ZWUEW6I37FFLZJJ3KW3SRQE56Z/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZWUEW6I37FFLZJJ3KW3SRQE56Z/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":"2026-08-22T23:17:32Z","links":{"resolver":"https://pith.science/pith/ZWUEW6I37FFLZJJ3KW3SRQE56Z","bundle":"https://pith.science/pith/ZWUEW6I37FFLZJJ3KW3SRQE56Z/bundle.json","state":"https://pith.science/pith/ZWUEW6I37FFLZJJ3KW3SRQE56Z/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZWUEW6I37FFLZJJ3KW3SRQE56Z/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:ZWUEW6I37FFLZJJ3KW3SRQE56Z","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":"e614692f3f4d074fd1c4e972745fd0a44e60a19876a5462262ecdde1377dfd30","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-11-29T07:11:56Z","title_canon_sha256":"25e1992d9813461ec67832d159b9fd9022446c25989507ad3135201e299d5ea2"},"schema_version":"1.0","source":{"id":"2311.17951","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.17951","created_at":"2026-07-05T07:18:34Z"},{"alias_kind":"arxiv_version","alias_value":"2311.17951v1","created_at":"2026-07-05T07:18:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.17951","created_at":"2026-07-05T07:18:34Z"},{"alias_kind":"pith_short_12","alias_value":"ZWUEW6I37FFL","created_at":"2026-07-05T07:18:34Z"},{"alias_kind":"pith_short_16","alias_value":"ZWUEW6I37FFLZJJ3","created_at":"2026-07-05T07:18:34Z"},{"alias_kind":"pith_short_8","alias_value":"ZWUEW6I3","created_at":"2026-07-05T07:18:34Z"}],"graph_snapshots":[{"event_id":"sha256:03183e89b06a88e746903094cb3857db2e8ac8b79a9ad9bd737c32ead6698932","target":"graph","created_at":"2026-07-05T07:18:34Z","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/2311.17951/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present Compound Conditioned ControlNet, C3Net, a novel generative neural architecture taking conditions from multiple modalities and synthesizing multimodal contents simultaneously (e.g., image, text, audio). C3Net adapts the ControlNet architecture to jointly train and make inferences on a production-ready diffusion model and its trainable copies. Specifically, C3Net first aligns the conditions from multi-modalities to the same semantic latent space using modality-specific encoders based on contrastive training. Then, it generates multimodal outputs based on the aligned latent space, whos","authors_text":"Chi-Keung Tang, Juntao Zhang, Yuehuai Liu, Yu-Wing Tai","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-11-29T07:11:56Z","title":"C3Net: Compound Conditioned ControlNet for Multimodal Content Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.17951","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":"sha256:8d40db6783338e69c8f8564af023b2a06b5c232ec97ab2c755cc3e96fceb65ca","target":"record","created_at":"2026-07-05T07:18:34Z","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":"e614692f3f4d074fd1c4e972745fd0a44e60a19876a5462262ecdde1377dfd30","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-11-29T07:11:56Z","title_canon_sha256":"25e1992d9813461ec67832d159b9fd9022446c25989507ad3135201e299d5ea2"},"schema_version":"1.0","source":{"id":"2311.17951","kind":"arxiv","version":1}},"canonical_sha256":"cda84b791bf94abca53b55b728c09df66261b45ae60826a2c7097b7b0fd5b1d9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cda84b791bf94abca53b55b728c09df66261b45ae60826a2c7097b7b0fd5b1d9","first_computed_at":"2026-07-05T07:18:34.033449Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:18:34.033449Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Uy2uJXbpbDvOdpZ3rXSbJRtzXLUJPNmABkhfKOEYsxqS/yJ/TW1vzogw6tq7zkXUq4YmXHC6qdOSnD3/FDB/Aw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:18:34.033937Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.17951","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8d40db6783338e69c8f8564af023b2a06b5c232ec97ab2c755cc3e96fceb65ca","sha256:03183e89b06a88e746903094cb3857db2e8ac8b79a9ad9bd737c32ead6698932"],"state_sha256":"9c9c2fab2f54e3bc6f58b65066a0f95e00ab51b5de640455f5bd25c403af50f4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9pJFhqru/WonT63pzIV2IkUlo7m0C4sYPl3gyfrs+vGfR2J+eNH+e2c/aW/6+SSQvUVwkkrhb+eTYjdLQDuPCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T23:17:32.020521Z","bundle_sha256":"222ba5c0ceb8e73ef4f20514705bbd0c4c3f4a978403f3d74fa305225be2d804"}}