{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:IHF4EKGTQKI3YSECKVBVUP3MLL","short_pith_number":"pith:IHF4EKGT","canonical_record":{"source":{"id":"2403.13378","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-20T08:21:00Z","cross_cats_sorted":[],"title_canon_sha256":"ce8f651ae928e412142571574d374ff8a75eddbca55983c4d983d4a15020ae1f","abstract_canon_sha256":"c115e0c5aaeeab5d486cfcc973153f06218019df9db90f72102c3a73358b6b53"},"schema_version":"1.0"},"canonical_sha256":"41cbc228d38291bc488255435a3f6c5af97b05dbb495fb613c87de1a26ac0afc","source":{"kind":"arxiv","id":"2403.13378","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.13378","created_at":"2026-07-05T08:57:01Z"},{"alias_kind":"arxiv_version","alias_value":"2403.13378v2","created_at":"2026-07-05T08:57:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.13378","created_at":"2026-07-05T08:57:01Z"},{"alias_kind":"pith_short_12","alias_value":"IHF4EKGTQKI3","created_at":"2026-07-05T08:57:01Z"},{"alias_kind":"pith_short_16","alias_value":"IHF4EKGTQKI3YSEC","created_at":"2026-07-05T08:57:01Z"},{"alias_kind":"pith_short_8","alias_value":"IHF4EKGT","created_at":"2026-07-05T08:57:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:IHF4EKGTQKI3YSECKVBVUP3MLL","target":"record","payload":{"canonical_record":{"source":{"id":"2403.13378","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-20T08:21:00Z","cross_cats_sorted":[],"title_canon_sha256":"ce8f651ae928e412142571574d374ff8a75eddbca55983c4d983d4a15020ae1f","abstract_canon_sha256":"c115e0c5aaeeab5d486cfcc973153f06218019df9db90f72102c3a73358b6b53"},"schema_version":"1.0"},"canonical_sha256":"41cbc228d38291bc488255435a3f6c5af97b05dbb495fb613c87de1a26ac0afc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:57:01.401154Z","signature_b64":"q176H1Cl3btZ3vAVAW6npp25f42DoVz1p4ckL0WhHJXhWOv8YlOtZ1tTamqPIGDxT6MDLYsgmMFle8PrK1/gBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"41cbc228d38291bc488255435a3f6c5af97b05dbb495fb613c87de1a26ac0afc","last_reissued_at":"2026-07-05T08:57:01.400684Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:57:01.400684Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2403.13378","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":"2026-07-05T08:57:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hKvGqjqHdwlxMSyT/4sifx5J1A4YbuwrbUWryzciDcB1UWqJGDsVq+DAhS5tLhnlirSqA2FctFul43EZ2Y2oCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T22:54:16.055398Z"},"content_sha256":"75fe2c4428022567bbaa7261c246d0a8151c23e8d2e56b75413b7988a21b565f","schema_version":"1.0","event_id":"sha256:75fe2c4428022567bbaa7261c246d0a8151c23e8d2e56b75413b7988a21b565f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:IHF4EKGTQKI3YSECKVBVUP3MLL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"IIDM: Image-to-Image Diffusion Model for Semantic Image Synthesis","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Feng Liu, Xiaobin Chang","submitted_at":"2024-03-20T08:21:00Z","abstract_excerpt":"Semantic image synthesis aims to generate high-quality images given semantic conditions, i.e. segmentation masks and style reference images. Existing methods widely adopt generative adversarial networks (GANs). GANs take all conditional inputs and directly synthesize images in a single forward step. In this paper, semantic image synthesis is treated as an image denoising task and is handled with a novel image-to-image diffusion model (IIDM). Specifically, the style reference is first contaminated with random noise and then progressively denoised by IIDM, guided by segmentation masks. Moreover,"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.13378","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/2403.13378/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":"2026-07-05T08:57:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UIXCeX0agnWas3yRJJYTMc+eD00aNz/7+RmPuzqAjsvHTpXf28o01ln2OruqrvHrcu7zSQzN/P3lxbGRax7hCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T22:54:16.056271Z"},"content_sha256":"6d139aa9fd568558d9c9929fb9a75abd10edbb27ddc73b9d3c1f2c7e38467a0e","schema_version":"1.0","event_id":"sha256:6d139aa9fd568558d9c9929fb9a75abd10edbb27ddc73b9d3c1f2c7e38467a0e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IHF4EKGTQKI3YSECKVBVUP3MLL/bundle.json","state_url":"https://pith.science/pith/IHF4EKGTQKI3YSECKVBVUP3MLL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IHF4EKGTQKI3YSECKVBVUP3MLL/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":"2026-08-05T22:54:16Z","links":{"resolver":"https://pith.science/pith/IHF4EKGTQKI3YSECKVBVUP3MLL","bundle":"https://pith.science/pith/IHF4EKGTQKI3YSECKVBVUP3MLL/bundle.json","state":"https://pith.science/pith/IHF4EKGTQKI3YSECKVBVUP3MLL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IHF4EKGTQKI3YSECKVBVUP3MLL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:IHF4EKGTQKI3YSECKVBVUP3MLL","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":"c115e0c5aaeeab5d486cfcc973153f06218019df9db90f72102c3a73358b6b53","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-20T08:21:00Z","title_canon_sha256":"ce8f651ae928e412142571574d374ff8a75eddbca55983c4d983d4a15020ae1f"},"schema_version":"1.0","source":{"id":"2403.13378","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.13378","created_at":"2026-07-05T08:57:01Z"},{"alias_kind":"arxiv_version","alias_value":"2403.13378v2","created_at":"2026-07-05T08:57:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.13378","created_at":"2026-07-05T08:57:01Z"},{"alias_kind":"pith_short_12","alias_value":"IHF4EKGTQKI3","created_at":"2026-07-05T08:57:01Z"},{"alias_kind":"pith_short_16","alias_value":"IHF4EKGTQKI3YSEC","created_at":"2026-07-05T08:57:01Z"},{"alias_kind":"pith_short_8","alias_value":"IHF4EKGT","created_at":"2026-07-05T08:57:01Z"}],"graph_snapshots":[{"event_id":"sha256:6d139aa9fd568558d9c9929fb9a75abd10edbb27ddc73b9d3c1f2c7e38467a0e","target":"graph","created_at":"2026-07-05T08:57:01Z","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/2403.13378/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Semantic image synthesis aims to generate high-quality images given semantic conditions, i.e. segmentation masks and style reference images. Existing methods widely adopt generative adversarial networks (GANs). GANs take all conditional inputs and directly synthesize images in a single forward step. In this paper, semantic image synthesis is treated as an image denoising task and is handled with a novel image-to-image diffusion model (IIDM). Specifically, the style reference is first contaminated with random noise and then progressively denoised by IIDM, guided by segmentation masks. Moreover,","authors_text":"Feng Liu, Xiaobin Chang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-20T08:21:00Z","title":"IIDM: Image-to-Image Diffusion Model for Semantic Image Synthesis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.13378","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":"sha256:75fe2c4428022567bbaa7261c246d0a8151c23e8d2e56b75413b7988a21b565f","target":"record","created_at":"2026-07-05T08:57:01Z","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":"c115e0c5aaeeab5d486cfcc973153f06218019df9db90f72102c3a73358b6b53","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-20T08:21:00Z","title_canon_sha256":"ce8f651ae928e412142571574d374ff8a75eddbca55983c4d983d4a15020ae1f"},"schema_version":"1.0","source":{"id":"2403.13378","kind":"arxiv","version":2}},"canonical_sha256":"41cbc228d38291bc488255435a3f6c5af97b05dbb495fb613c87de1a26ac0afc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"41cbc228d38291bc488255435a3f6c5af97b05dbb495fb613c87de1a26ac0afc","first_computed_at":"2026-07-05T08:57:01.400684Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:57:01.400684Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"q176H1Cl3btZ3vAVAW6npp25f42DoVz1p4ckL0WhHJXhWOv8YlOtZ1tTamqPIGDxT6MDLYsgmMFle8PrK1/gBA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:57:01.401154Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.13378","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:75fe2c4428022567bbaa7261c246d0a8151c23e8d2e56b75413b7988a21b565f","sha256:6d139aa9fd568558d9c9929fb9a75abd10edbb27ddc73b9d3c1f2c7e38467a0e"],"state_sha256":"a33a11d288a24c2fe2046b8db164a744113bb40e8c6ea06a82a10d9922e125bb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pCWxSs4Y5pWQ0An29s8TdOF00Dlkm7KFStPaoNk/8EcyEQHBwMEaTYnliHP4LRZTisdKcFfvrOaN0FINEQpICw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T22:54:16.108849Z","bundle_sha256":"75abc5c70d9ff2d89de06545d6dab5aa563dd70483ae932ffc14a54fa1df8588"}}