{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:K44DV7EGJHY5RS3OWVJPSQJ5AQ","short_pith_number":"pith:K44DV7EG","canonical_record":{"source":{"id":"2305.13308","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-05-22T17:59:41Z","cross_cats_sorted":[],"title_canon_sha256":"e058ea889c3b5ccc458ad4bc0397cbdc84e49dfacadeb3bab52c360b8f1df94c","abstract_canon_sha256":"cf2c51b45b3d7e40fccadc3c13fac8ddd9cb7b84fd06dea2926ef19267cc6e22"},"schema_version":"1.0"},"canonical_sha256":"57383afc8649f1d8cb6eb552f9413d040c8bde02864838c9e11c95e6dfba2da0","source":{"kind":"arxiv","id":"2305.13308","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.13308","created_at":"2026-07-05T06:12:28Z"},{"alias_kind":"arxiv_version","alias_value":"2305.13308v1","created_at":"2026-07-05T06:12:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.13308","created_at":"2026-07-05T06:12:28Z"},{"alias_kind":"pith_short_12","alias_value":"K44DV7EGJHY5","created_at":"2026-07-05T06:12:28Z"},{"alias_kind":"pith_short_16","alias_value":"K44DV7EGJHY5RS3O","created_at":"2026-07-05T06:12:28Z"},{"alias_kind":"pith_short_8","alias_value":"K44DV7EG","created_at":"2026-07-05T06:12:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:K44DV7EGJHY5RS3OWVJPSQJ5AQ","target":"record","payload":{"canonical_record":{"source":{"id":"2305.13308","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-05-22T17:59:41Z","cross_cats_sorted":[],"title_canon_sha256":"e058ea889c3b5ccc458ad4bc0397cbdc84e49dfacadeb3bab52c360b8f1df94c","abstract_canon_sha256":"cf2c51b45b3d7e40fccadc3c13fac8ddd9cb7b84fd06dea2926ef19267cc6e22"},"schema_version":"1.0"},"canonical_sha256":"57383afc8649f1d8cb6eb552f9413d040c8bde02864838c9e11c95e6dfba2da0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:12:28.902340Z","signature_b64":"0wOVNOlWNoln5VK7zMJkIO0YyXV0QHQSfKMZRiIhlcJEF2nb/pGctFTNvzi3QKeHmGtge06ys0xvxRYPezluBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"57383afc8649f1d8cb6eb552f9413d040c8bde02864838c9e11c95e6dfba2da0","last_reissued_at":"2026-07-05T06:12:28.901886Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:12:28.901886Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2305.13308","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":"2026-07-05T06:12:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WVhJnGen2jmzSw5MBtGRZZ1flwda8JatgmkCl5v6upou9sSD5V1hisdOj2kHkPHaVPhcxHRu391Ke1K4A8KnAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T11:16:25.143723Z"},"content_sha256":"3db210a72694a3714be647a4b30350cf7bff9d4673728ad8e84d887ac450d7e2","schema_version":"1.0","event_id":"sha256:3db210a72694a3714be647a4b30350cf7bff9d4673728ad8e84d887ac450d7e2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:K44DV7EGJHY5RS3OWVJPSQJ5AQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"If at First You Don't Succeed, Try, Try Again: Faithful Diffusion-based Text-to-Image Generation by Selection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Karsten Roth, Massimiliano Mancini, Shyamgopal Karthik, Zeynep Akata","submitted_at":"2023-05-22T17:59:41Z","abstract_excerpt":"Despite their impressive capabilities, diffusion-based text-to-image (T2I) models can lack faithfulness to the text prompt, where generated images may not contain all the mentioned objects, attributes or relations. To alleviate these issues, recent works proposed post-hoc methods to improve model faithfulness without costly retraining, by modifying how the model utilizes the input prompt. In this work, we take a step back and show that large T2I diffusion models are more faithful than usually assumed, and can generate images faithful to even complex prompts without the need to manipulate the g"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.13308","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/2305.13308/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":"2026-07-05T06:12:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3f2dywJDi2HVPxylmrNstcoMePo6ef0xInrz0Bx+b7nWhFmz2qNpQPnoyanhfoXwMOVSizTwD0dy+FITCrjTAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T11:16:25.144265Z"},"content_sha256":"67e286b719da18451ae2fccdc52d40934fe4f988ff5ce6ad14b4f59e782e5992","schema_version":"1.0","event_id":"sha256:67e286b719da18451ae2fccdc52d40934fe4f988ff5ce6ad14b4f59e782e5992"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/K44DV7EGJHY5RS3OWVJPSQJ5AQ/bundle.json","state_url":"https://pith.science/pith/K44DV7EGJHY5RS3OWVJPSQJ5AQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/K44DV7EGJHY5RS3OWVJPSQJ5AQ/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":"2026-08-07T11:16:25Z","links":{"resolver":"https://pith.science/pith/K44DV7EGJHY5RS3OWVJPSQJ5AQ","bundle":"https://pith.science/pith/K44DV7EGJHY5RS3OWVJPSQJ5AQ/bundle.json","state":"https://pith.science/pith/K44DV7EGJHY5RS3OWVJPSQJ5AQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/K44DV7EGJHY5RS3OWVJPSQJ5AQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:K44DV7EGJHY5RS3OWVJPSQJ5AQ","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":"cf2c51b45b3d7e40fccadc3c13fac8ddd9cb7b84fd06dea2926ef19267cc6e22","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-05-22T17:59:41Z","title_canon_sha256":"e058ea889c3b5ccc458ad4bc0397cbdc84e49dfacadeb3bab52c360b8f1df94c"},"schema_version":"1.0","source":{"id":"2305.13308","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.13308","created_at":"2026-07-05T06:12:28Z"},{"alias_kind":"arxiv_version","alias_value":"2305.13308v1","created_at":"2026-07-05T06:12:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.13308","created_at":"2026-07-05T06:12:28Z"},{"alias_kind":"pith_short_12","alias_value":"K44DV7EGJHY5","created_at":"2026-07-05T06:12:28Z"},{"alias_kind":"pith_short_16","alias_value":"K44DV7EGJHY5RS3O","created_at":"2026-07-05T06:12:28Z"},{"alias_kind":"pith_short_8","alias_value":"K44DV7EG","created_at":"2026-07-05T06:12:28Z"}],"graph_snapshots":[{"event_id":"sha256:67e286b719da18451ae2fccdc52d40934fe4f988ff5ce6ad14b4f59e782e5992","target":"graph","created_at":"2026-07-05T06:12:28Z","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/2305.13308/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Despite their impressive capabilities, diffusion-based text-to-image (T2I) models can lack faithfulness to the text prompt, where generated images may not contain all the mentioned objects, attributes or relations. To alleviate these issues, recent works proposed post-hoc methods to improve model faithfulness without costly retraining, by modifying how the model utilizes the input prompt. In this work, we take a step back and show that large T2I diffusion models are more faithful than usually assumed, and can generate images faithful to even complex prompts without the need to manipulate the g","authors_text":"Karsten Roth, Massimiliano Mancini, Shyamgopal Karthik, Zeynep Akata","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-05-22T17:59:41Z","title":"If at First You Don't Succeed, Try, Try Again: Faithful Diffusion-based Text-to-Image Generation by Selection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.13308","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":"sha256:3db210a72694a3714be647a4b30350cf7bff9d4673728ad8e84d887ac450d7e2","target":"record","created_at":"2026-07-05T06:12:28Z","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":"cf2c51b45b3d7e40fccadc3c13fac8ddd9cb7b84fd06dea2926ef19267cc6e22","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-05-22T17:59:41Z","title_canon_sha256":"e058ea889c3b5ccc458ad4bc0397cbdc84e49dfacadeb3bab52c360b8f1df94c"},"schema_version":"1.0","source":{"id":"2305.13308","kind":"arxiv","version":1}},"canonical_sha256":"57383afc8649f1d8cb6eb552f9413d040c8bde02864838c9e11c95e6dfba2da0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"57383afc8649f1d8cb6eb552f9413d040c8bde02864838c9e11c95e6dfba2da0","first_computed_at":"2026-07-05T06:12:28.901886Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:12:28.901886Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0wOVNOlWNoln5VK7zMJkIO0YyXV0QHQSfKMZRiIhlcJEF2nb/pGctFTNvzi3QKeHmGtge06ys0xvxRYPezluBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:12:28.902340Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.13308","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3db210a72694a3714be647a4b30350cf7bff9d4673728ad8e84d887ac450d7e2","sha256:67e286b719da18451ae2fccdc52d40934fe4f988ff5ce6ad14b4f59e782e5992"],"state_sha256":"77c8eadf0289042fa346f5bfc2dd09c09ca6b055a6123e501caa3d711266d99e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2zP6paXSpixQiWT2zuzlbUvNMr8BAqRKd9Gw8P9NtEytznSt9tPG9R3gZwpHDiO5pKouHwryQSJPYuZ7ZQj+AQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T11:16:25.149821Z","bundle_sha256":"ff4ea8611828b4653185a8eabba0f6511cc3a46c1479e318b2a5a4553356b7ea"}}