{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:S63WNPAL4KMLD2F5BSACX5MGC6","short_pith_number":"pith:S63WNPAL","canonical_record":{"source":{"id":"2407.10683","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-07-15T12:59:03Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"38443670ec2de1a156f0075f523a8c21e46876c64cba07cc6aefe8e748f4c72d","abstract_canon_sha256":"3c003e8d2b70dc2bc66b1fc004f28b5231edca1c99ca305b1a84254e2e353a2d"},"schema_version":"1.0"},"canonical_sha256":"97b766bc0be298b1e8bd0c802bf58617b28b85fde0b66ccf72bff0fe4a3b3404","source":{"kind":"arxiv","id":"2407.10683","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.10683","created_at":"2026-07-05T08:44:02Z"},{"alias_kind":"arxiv_version","alias_value":"2407.10683v1","created_at":"2026-07-05T08:44:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.10683","created_at":"2026-07-05T08:44:02Z"},{"alias_kind":"pith_short_12","alias_value":"S63WNPAL4KML","created_at":"2026-07-05T08:44:02Z"},{"alias_kind":"pith_short_16","alias_value":"S63WNPAL4KMLD2F5","created_at":"2026-07-05T08:44:02Z"},{"alias_kind":"pith_short_8","alias_value":"S63WNPAL","created_at":"2026-07-05T08:44:02Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:S63WNPAL4KMLD2F5BSACX5MGC6","target":"record","payload":{"canonical_record":{"source":{"id":"2407.10683","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-07-15T12:59:03Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"38443670ec2de1a156f0075f523a8c21e46876c64cba07cc6aefe8e748f4c72d","abstract_canon_sha256":"3c003e8d2b70dc2bc66b1fc004f28b5231edca1c99ca305b1a84254e2e353a2d"},"schema_version":"1.0"},"canonical_sha256":"97b766bc0be298b1e8bd0c802bf58617b28b85fde0b66ccf72bff0fe4a3b3404","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:44:02.882670Z","signature_b64":"/ccOgnE0D8wFXYXWykI/yYM23EQmu9DlZJQyuH6Cn3egCmlLaJ1/i30mbrWWUzqAE4KfKlVvdGnbNg9ngWSaAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"97b766bc0be298b1e8bd0c802bf58617b28b85fde0b66ccf72bff0fe4a3b3404","last_reissued_at":"2026-07-05T08:44:02.882271Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:44:02.882271Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2407.10683","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":"2026-07-05T08:44:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"r3gdrbaUMoHgnvT2njWDykqfkqzoU2cZljtQAH/T3rATwOJoSow26lU5uCsQtn/1Nizlqko4NDERGPkPAesNBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T07:58:05.253097Z"},"content_sha256":"f15bd0c54c79e04bcf15deae212f392820bb711d9dbd30705572e404f76ae162","schema_version":"1.0","event_id":"sha256:f15bd0c54c79e04bcf15deae212f392820bb711d9dbd30705572e404f76ae162"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:S63WNPAL4KMLD2F5BSACX5MGC6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Addressing Image Hallucination in Text-to-Image Generation through Factual Image Retrieval","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Hyunjung Shim, Youngsun Lim","submitted_at":"2024-07-15T12:59:03Z","abstract_excerpt":"Text-to-image generation has shown remarkable progress with the emergence of diffusion models. However, these models often generate factually inconsistent images, failing to accurately reflect the factual information and common sense conveyed by the input text prompts. We refer to this issue as Image hallucination. Drawing from studies on hallucinations in language models, we classify this problem into three types and propose a methodology that uses factual images retrieved from external sources to generate realistic images. Depending on the nature of the hallucination, we employ off-the-shelf"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.10683","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/2407.10683/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":"2026-07-05T08:44:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LEUZVwasxauONNKjRcQCOeyA9vATP8yGGaMNnC5B/D2ccANw+5Xxss4SPZGWvjxqKCLc2edWPvnZxLYq+q0mBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T07:58:05.254022Z"},"content_sha256":"f8cbace86ec1dbacd82a712efbb35efa2f3f4aa5839b2a1f1c521eb8971994f6","schema_version":"1.0","event_id":"sha256:f8cbace86ec1dbacd82a712efbb35efa2f3f4aa5839b2a1f1c521eb8971994f6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/S63WNPAL4KMLD2F5BSACX5MGC6/bundle.json","state_url":"https://pith.science/pith/S63WNPAL4KMLD2F5BSACX5MGC6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/S63WNPAL4KMLD2F5BSACX5MGC6/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":"2026-08-08T07:58:05Z","links":{"resolver":"https://pith.science/pith/S63WNPAL4KMLD2F5BSACX5MGC6","bundle":"https://pith.science/pith/S63WNPAL4KMLD2F5BSACX5MGC6/bundle.json","state":"https://pith.science/pith/S63WNPAL4KMLD2F5BSACX5MGC6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/S63WNPAL4KMLD2F5BSACX5MGC6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:S63WNPAL4KMLD2F5BSACX5MGC6","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":"3c003e8d2b70dc2bc66b1fc004f28b5231edca1c99ca305b1a84254e2e353a2d","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-07-15T12:59:03Z","title_canon_sha256":"38443670ec2de1a156f0075f523a8c21e46876c64cba07cc6aefe8e748f4c72d"},"schema_version":"1.0","source":{"id":"2407.10683","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.10683","created_at":"2026-07-05T08:44:02Z"},{"alias_kind":"arxiv_version","alias_value":"2407.10683v1","created_at":"2026-07-05T08:44:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.10683","created_at":"2026-07-05T08:44:02Z"},{"alias_kind":"pith_short_12","alias_value":"S63WNPAL4KML","created_at":"2026-07-05T08:44:02Z"},{"alias_kind":"pith_short_16","alias_value":"S63WNPAL4KMLD2F5","created_at":"2026-07-05T08:44:02Z"},{"alias_kind":"pith_short_8","alias_value":"S63WNPAL","created_at":"2026-07-05T08:44:02Z"}],"graph_snapshots":[{"event_id":"sha256:f8cbace86ec1dbacd82a712efbb35efa2f3f4aa5839b2a1f1c521eb8971994f6","target":"graph","created_at":"2026-07-05T08:44:02Z","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/2407.10683/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Text-to-image generation has shown remarkable progress with the emergence of diffusion models. However, these models often generate factually inconsistent images, failing to accurately reflect the factual information and common sense conveyed by the input text prompts. We refer to this issue as Image hallucination. Drawing from studies on hallucinations in language models, we classify this problem into three types and propose a methodology that uses factual images retrieved from external sources to generate realistic images. Depending on the nature of the hallucination, we employ off-the-shelf","authors_text":"Hyunjung Shim, Youngsun Lim","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-07-15T12:59:03Z","title":"Addressing Image Hallucination in Text-to-Image Generation through Factual Image Retrieval"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.10683","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:f15bd0c54c79e04bcf15deae212f392820bb711d9dbd30705572e404f76ae162","target":"record","created_at":"2026-07-05T08:44:02Z","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":"3c003e8d2b70dc2bc66b1fc004f28b5231edca1c99ca305b1a84254e2e353a2d","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-07-15T12:59:03Z","title_canon_sha256":"38443670ec2de1a156f0075f523a8c21e46876c64cba07cc6aefe8e748f4c72d"},"schema_version":"1.0","source":{"id":"2407.10683","kind":"arxiv","version":1}},"canonical_sha256":"97b766bc0be298b1e8bd0c802bf58617b28b85fde0b66ccf72bff0fe4a3b3404","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"97b766bc0be298b1e8bd0c802bf58617b28b85fde0b66ccf72bff0fe4a3b3404","first_computed_at":"2026-07-05T08:44:02.882271Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:44:02.882271Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/ccOgnE0D8wFXYXWykI/yYM23EQmu9DlZJQyuH6Cn3egCmlLaJ1/i30mbrWWUzqAE4KfKlVvdGnbNg9ngWSaAg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:44:02.882670Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.10683","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f15bd0c54c79e04bcf15deae212f392820bb711d9dbd30705572e404f76ae162","sha256:f8cbace86ec1dbacd82a712efbb35efa2f3f4aa5839b2a1f1c521eb8971994f6"],"state_sha256":"2c87d8dd61ff5161ff0254b452f376906dcbf16141f543e43dff52f407c8f3c6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+rD0QHj8AdwCU0mniWa6IWPlwuNR4544opTqw8UAFqsuqAkF51sUfyMkoKNF6Q4b7+3OqOdqniOCzi3t6kYbAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T07:58:05.260899Z","bundle_sha256":"c863dab35c97e166fcaa24b142be6714c70bd5a3dd23261559c99dd7c050e7b3"}}