{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:YFWGLTFRQSZGXIK5FPMIJ6PZBL","short_pith_number":"pith:YFWGLTFR","canonical_record":{"source":{"id":"2307.10159","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-07-19T17:39:39Z","cross_cats_sorted":[],"title_canon_sha256":"872d4905ddf3ac858e60c13a92a748389dd3eb5f8043808b2e0e8cb1e69014ef","abstract_canon_sha256":"79adb5b737e3f2226a134b988f6db7917ef51aed971af56f5a8eeb47aa1f4eab"},"schema_version":"1.0"},"canonical_sha256":"c16c65ccb184b26ba15d2bd884f9f90ad333905570c02829547570c33589d46e","source":{"kind":"arxiv","id":"2307.10159","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.10159","created_at":"2026-07-05T06:32:51Z"},{"alias_kind":"arxiv_version","alias_value":"2307.10159v1","created_at":"2026-07-05T06:32:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.10159","created_at":"2026-07-05T06:32:51Z"},{"alias_kind":"pith_short_12","alias_value":"YFWGLTFRQSZG","created_at":"2026-07-05T06:32:51Z"},{"alias_kind":"pith_short_16","alias_value":"YFWGLTFRQSZGXIK5","created_at":"2026-07-05T06:32:51Z"},{"alias_kind":"pith_short_8","alias_value":"YFWGLTFR","created_at":"2026-07-05T06:32:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:YFWGLTFRQSZGXIK5FPMIJ6PZBL","target":"record","payload":{"canonical_record":{"source":{"id":"2307.10159","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-07-19T17:39:39Z","cross_cats_sorted":[],"title_canon_sha256":"872d4905ddf3ac858e60c13a92a748389dd3eb5f8043808b2e0e8cb1e69014ef","abstract_canon_sha256":"79adb5b737e3f2226a134b988f6db7917ef51aed971af56f5a8eeb47aa1f4eab"},"schema_version":"1.0"},"canonical_sha256":"c16c65ccb184b26ba15d2bd884f9f90ad333905570c02829547570c33589d46e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:32:51.336205Z","signature_b64":"hq/KXiJx1sr9Wc1BMGRoP3UDWwFELsf2k8biQr5pnSJvVgqETrZ2XIXk4XBkudGlxjhAJNuDeDjOXTXz8qDOCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c16c65ccb184b26ba15d2bd884f9f90ad333905570c02829547570c33589d46e","last_reissued_at":"2026-07-05T06:32:51.335796Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:32:51.335796Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2307.10159","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":"2026-07-05T06:32:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qrIa92C0F7PhDONIpeOOzL9zl7M5hyUmco3D35jEvhmvHytbnf6cRr0/o7Ac9JDYf1GqcVIOcJi6hAJYuOMhBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-31T16:18:47.664249Z"},"content_sha256":"6754a2e6d075173fad1dcc5161efe8168b0ebef748b343a917ac7567b19f3564","schema_version":"1.0","event_id":"sha256:6754a2e6d075173fad1dcc5161efe8168b0ebef748b343a917ac7567b19f3564"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:YFWGLTFRQSZGXIK5FPMIJ6PZBL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"FABRIC: Personalizing Diffusion Models with Iterative Feedback","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Dimitri von R\\\"utte, Elisabetta Fedele, Jonathan Thomm, Lukas Wolf","submitted_at":"2023-07-19T17:39:39Z","abstract_excerpt":"In an era where visual content generation is increasingly driven by machine learning, the integration of human feedback into generative models presents significant opportunities for enhancing user experience and output quality. This study explores strategies for incorporating iterative human feedback into the generative process of diffusion-based text-to-image models. We propose FABRIC, a training-free approach applicable to a wide range of popular diffusion models, which exploits the self-attention layer present in the most widely used architectures to condition the diffusion process on a set"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.10159","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/2307.10159/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":"2026-07-05T06:32:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YwpaxE76KsSOHIElobcYWaQOr+GM46ZCAnqFjxIvww+n50O+JTDF6DciVwRCJhG2j9BrGjeEhUbprYsASL5QDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-31T16:18:47.664570Z"},"content_sha256":"1c020d15b3bf333985bce1c28658217fa06d0e3a65057f581ed5739568742b0c","schema_version":"1.0","event_id":"sha256:1c020d15b3bf333985bce1c28658217fa06d0e3a65057f581ed5739568742b0c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YFWGLTFRQSZGXIK5FPMIJ6PZBL/bundle.json","state_url":"https://pith.science/pith/YFWGLTFRQSZGXIK5FPMIJ6PZBL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YFWGLTFRQSZGXIK5FPMIJ6PZBL/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":"2026-07-31T16:18:47Z","links":{"resolver":"https://pith.science/pith/YFWGLTFRQSZGXIK5FPMIJ6PZBL","bundle":"https://pith.science/pith/YFWGLTFRQSZGXIK5FPMIJ6PZBL/bundle.json","state":"https://pith.science/pith/YFWGLTFRQSZGXIK5FPMIJ6PZBL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YFWGLTFRQSZGXIK5FPMIJ6PZBL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:YFWGLTFRQSZGXIK5FPMIJ6PZBL","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":"79adb5b737e3f2226a134b988f6db7917ef51aed971af56f5a8eeb47aa1f4eab","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-07-19T17:39:39Z","title_canon_sha256":"872d4905ddf3ac858e60c13a92a748389dd3eb5f8043808b2e0e8cb1e69014ef"},"schema_version":"1.0","source":{"id":"2307.10159","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.10159","created_at":"2026-07-05T06:32:51Z"},{"alias_kind":"arxiv_version","alias_value":"2307.10159v1","created_at":"2026-07-05T06:32:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.10159","created_at":"2026-07-05T06:32:51Z"},{"alias_kind":"pith_short_12","alias_value":"YFWGLTFRQSZG","created_at":"2026-07-05T06:32:51Z"},{"alias_kind":"pith_short_16","alias_value":"YFWGLTFRQSZGXIK5","created_at":"2026-07-05T06:32:51Z"},{"alias_kind":"pith_short_8","alias_value":"YFWGLTFR","created_at":"2026-07-05T06:32:51Z"}],"graph_snapshots":[{"event_id":"sha256:1c020d15b3bf333985bce1c28658217fa06d0e3a65057f581ed5739568742b0c","target":"graph","created_at":"2026-07-05T06:32:51Z","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/2307.10159/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In an era where visual content generation is increasingly driven by machine learning, the integration of human feedback into generative models presents significant opportunities for enhancing user experience and output quality. This study explores strategies for incorporating iterative human feedback into the generative process of diffusion-based text-to-image models. We propose FABRIC, a training-free approach applicable to a wide range of popular diffusion models, which exploits the self-attention layer present in the most widely used architectures to condition the diffusion process on a set","authors_text":"Dimitri von R\\\"utte, Elisabetta Fedele, Jonathan Thomm, Lukas Wolf","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-07-19T17:39:39Z","title":"FABRIC: Personalizing Diffusion Models with Iterative Feedback"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.10159","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":"sha256:6754a2e6d075173fad1dcc5161efe8168b0ebef748b343a917ac7567b19f3564","target":"record","created_at":"2026-07-05T06:32:51Z","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":"79adb5b737e3f2226a134b988f6db7917ef51aed971af56f5a8eeb47aa1f4eab","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-07-19T17:39:39Z","title_canon_sha256":"872d4905ddf3ac858e60c13a92a748389dd3eb5f8043808b2e0e8cb1e69014ef"},"schema_version":"1.0","source":{"id":"2307.10159","kind":"arxiv","version":1}},"canonical_sha256":"c16c65ccb184b26ba15d2bd884f9f90ad333905570c02829547570c33589d46e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c16c65ccb184b26ba15d2bd884f9f90ad333905570c02829547570c33589d46e","first_computed_at":"2026-07-05T06:32:51.335796Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:32:51.335796Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hq/KXiJx1sr9Wc1BMGRoP3UDWwFELsf2k8biQr5pnSJvVgqETrZ2XIXk4XBkudGlxjhAJNuDeDjOXTXz8qDOCA==","signature_status":"signed_v1","signed_at":"2026-07-05T06:32:51.336205Z","signed_message":"canonical_sha256_bytes"},"source_id":"2307.10159","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6754a2e6d075173fad1dcc5161efe8168b0ebef748b343a917ac7567b19f3564","sha256:1c020d15b3bf333985bce1c28658217fa06d0e3a65057f581ed5739568742b0c"],"state_sha256":"84ee52b191be8aa36fb49695c6119b46a261ed7a9fbba3fca2154cb540024444"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pj/DHEHOfBI0EGbbC1z5gJ3LMbs5zO6p0Bf9FfAlyfgrfVBJYgLaLukq6wO/54tgTv/ol3f+OR5YCM67V+8eAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-31T16:18:47.668869Z","bundle_sha256":"cca5fcb4f0b5312bc7f6bb734941e3232cf3f3ce5482da4078b7ea9b5e739218"}}