{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:6V55NJ7NC25EUIGLA7K35E4MXH","short_pith_number":"pith:6V55NJ7N","canonical_record":{"source":{"id":"2404.04251","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-04-05T17:57:16Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"79b0d80776da1805628f5f935356e9958a6a27f9338c117f9fe54e847e54ce4f","abstract_canon_sha256":"abfae8ecc30be4a84c5466a889e2071f248b007ddc364d480bf14d417f02dddf"},"schema_version":"1.0"},"canonical_sha256":"f57bd6a7ed16ba4a20cb07d5be938cb9e58d60e723b87b0c83a215e715b29aa2","source":{"kind":"arxiv","id":"2404.04251","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.04251","created_at":"2026-07-05T09:28:48Z"},{"alias_kind":"arxiv_version","alias_value":"2404.04251v3","created_at":"2026-07-05T09:28:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.04251","created_at":"2026-07-05T09:28:48Z"},{"alias_kind":"pith_short_12","alias_value":"6V55NJ7NC25E","created_at":"2026-07-05T09:28:48Z"},{"alias_kind":"pith_short_16","alias_value":"6V55NJ7NC25EUIGL","created_at":"2026-07-05T09:28:48Z"},{"alias_kind":"pith_short_8","alias_value":"6V55NJ7N","created_at":"2026-07-05T09:28:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:6V55NJ7NC25EUIGLA7K35E4MXH","target":"record","payload":{"canonical_record":{"source":{"id":"2404.04251","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-04-05T17:57:16Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"79b0d80776da1805628f5f935356e9958a6a27f9338c117f9fe54e847e54ce4f","abstract_canon_sha256":"abfae8ecc30be4a84c5466a889e2071f248b007ddc364d480bf14d417f02dddf"},"schema_version":"1.0"},"canonical_sha256":"f57bd6a7ed16ba4a20cb07d5be938cb9e58d60e723b87b0c83a215e715b29aa2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:28:48.853613Z","signature_b64":"+GVJ2UPHhH8qZrfdCouu9GJftUAYlDb/mHHwUTJNgX+/NbBfeSlElFeKgykNa9JeLHX5wFJoDYc9CjqDpAaqBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f57bd6a7ed16ba4a20cb07d5be938cb9e58d60e723b87b0c83a215e715b29aa2","last_reissued_at":"2026-07-05T09:28:48.852834Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:28:48.852834Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2404.04251","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:28:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YUspvArq4wj7LPR5Fg/Nlh1iQk/zQ17Dnn1nOXTgCoC6uDpfZVAJMOCT9rTrmlPre8Zkggg39g1TGDXAFPnXCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T22:20:53.768780Z"},"content_sha256":"1d58cc27d93a8e28e4b8220e186ac96eb37ab6628dce83a6d7a1e8c832a66c65","schema_version":"1.0","event_id":"sha256:1d58cc27d93a8e28e4b8220e186ac96eb37ab6628dce83a6d7a1e8c832a66c65"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:6V55NJ7NC25EUIGLA7K35E4MXH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Who Evaluates the Evaluations? Objectively Scoring Text-to-Image Prompt Coherence Metrics with T2IScoreScore (TS2)","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CL"],"primary_cat":"cs.CV","authors_text":"Aditya Sharma, Fatima Jahara, Mahsa Khoshnoodi, Michael Saxon, William Yang Wang, Yujie Lu","submitted_at":"2024-04-05T17:57:16Z","abstract_excerpt":"With advances in the quality of text-to-image (T2I) models has come interest in benchmarking their prompt faithfulness -- the semantic coherence of generated images to the prompts they were conditioned on. A variety of T2I faithfulness metrics have been proposed, leveraging advances in cross-modal embeddings and vision-language models (VLMs). However, these metrics are not rigorously compared and benchmarked, instead presented with correlation to human Likert scores over a set of easy-to-discriminate images against seemingly weak baselines.\n  We introduce T2IScoreScore, a curated set of semant"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.04251","kind":"arxiv","version":3},"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/2404.04251/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":"2026-07-05T09:28:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3c/PN3Pa7Dc4DphhwktrPdzhEBEz39Hsy4VN7O+Jp5XuQpGWkqFG7qkJqR4bPa+d29mhTABPD4P5AWDGwSVZBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T22:20:53.769378Z"},"content_sha256":"632acff678c496311dab15684349b63310e9c293982de5ca03788e62e992ae1c","schema_version":"1.0","event_id":"sha256:632acff678c496311dab15684349b63310e9c293982de5ca03788e62e992ae1c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6V55NJ7NC25EUIGLA7K35E4MXH/bundle.json","state_url":"https://pith.science/pith/6V55NJ7NC25EUIGLA7K35E4MXH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6V55NJ7NC25EUIGLA7K35E4MXH/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":"2026-08-12T22:20:53Z","links":{"resolver":"https://pith.science/pith/6V55NJ7NC25EUIGLA7K35E4MXH","bundle":"https://pith.science/pith/6V55NJ7NC25EUIGLA7K35E4MXH/bundle.json","state":"https://pith.science/pith/6V55NJ7NC25EUIGLA7K35E4MXH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6V55NJ7NC25EUIGLA7K35E4MXH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:6V55NJ7NC25EUIGLA7K35E4MXH","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":"abfae8ecc30be4a84c5466a889e2071f248b007ddc364d480bf14d417f02dddf","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-04-05T17:57:16Z","title_canon_sha256":"79b0d80776da1805628f5f935356e9958a6a27f9338c117f9fe54e847e54ce4f"},"schema_version":"1.0","source":{"id":"2404.04251","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.04251","created_at":"2026-07-05T09:28:48Z"},{"alias_kind":"arxiv_version","alias_value":"2404.04251v3","created_at":"2026-07-05T09:28:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.04251","created_at":"2026-07-05T09:28:48Z"},{"alias_kind":"pith_short_12","alias_value":"6V55NJ7NC25E","created_at":"2026-07-05T09:28:48Z"},{"alias_kind":"pith_short_16","alias_value":"6V55NJ7NC25EUIGL","created_at":"2026-07-05T09:28:48Z"},{"alias_kind":"pith_short_8","alias_value":"6V55NJ7N","created_at":"2026-07-05T09:28:48Z"}],"graph_snapshots":[{"event_id":"sha256:632acff678c496311dab15684349b63310e9c293982de5ca03788e62e992ae1c","target":"graph","created_at":"2026-07-05T09:28:48Z","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/2404.04251/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With advances in the quality of text-to-image (T2I) models has come interest in benchmarking their prompt faithfulness -- the semantic coherence of generated images to the prompts they were conditioned on. A variety of T2I faithfulness metrics have been proposed, leveraging advances in cross-modal embeddings and vision-language models (VLMs). However, these metrics are not rigorously compared and benchmarked, instead presented with correlation to human Likert scores over a set of easy-to-discriminate images against seemingly weak baselines.\n  We introduce T2IScoreScore, a curated set of semant","authors_text":"Aditya Sharma, Fatima Jahara, Mahsa Khoshnoodi, Michael Saxon, William Yang Wang, Yujie Lu","cross_cats":["cs.AI","cs.CL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-04-05T17:57:16Z","title":"Who Evaluates the Evaluations? Objectively Scoring Text-to-Image Prompt Coherence Metrics with T2IScoreScore (TS2)"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.04251","kind":"arxiv","version":3},"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":"sha256:1d58cc27d93a8e28e4b8220e186ac96eb37ab6628dce83a6d7a1e8c832a66c65","target":"record","created_at":"2026-07-05T09:28:48Z","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":"abfae8ecc30be4a84c5466a889e2071f248b007ddc364d480bf14d417f02dddf","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-04-05T17:57:16Z","title_canon_sha256":"79b0d80776da1805628f5f935356e9958a6a27f9338c117f9fe54e847e54ce4f"},"schema_version":"1.0","source":{"id":"2404.04251","kind":"arxiv","version":3}},"canonical_sha256":"f57bd6a7ed16ba4a20cb07d5be938cb9e58d60e723b87b0c83a215e715b29aa2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f57bd6a7ed16ba4a20cb07d5be938cb9e58d60e723b87b0c83a215e715b29aa2","first_computed_at":"2026-07-05T09:28:48.852834Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:28:48.852834Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+GVJ2UPHhH8qZrfdCouu9GJftUAYlDb/mHHwUTJNgX+/NbBfeSlElFeKgykNa9JeLHX5wFJoDYc9CjqDpAaqBg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:28:48.853613Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.04251","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1d58cc27d93a8e28e4b8220e186ac96eb37ab6628dce83a6d7a1e8c832a66c65","sha256:632acff678c496311dab15684349b63310e9c293982de5ca03788e62e992ae1c"],"state_sha256":"3ba94ea4bf407dd38dc98d9902934bce5dddc1dfaa1168addd4732ac3dfc1dbe"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RqG8BgA6jYcrisKxTqJlU6MI6VdrHdRlDHEOHveLOR8F3Lyw620IQt/I59E4cRaA0JLa6ixYs2lc0BN85ZUeCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T22:20:53.773130Z","bundle_sha256":"86a5e499d3d8a955817772e98482b2ac1ac4dc563b7b56be2558c5af81251953"}}