{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:BMMMNBT3ULP3VBY35HVI3AIW3Z","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":"2ac56503c832276ab2913a465932f4b5905f941b3e9b8168edb2fc7b84a78613","cross_cats_sorted":["cs.AI","cs.CL","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-07T01:18:40Z","title_canon_sha256":"3d5d84ad7ebf855c8a9a125564657e23e9ba59348868a289c168c93eff33c6e6"},"schema_version":"1.0","source":{"id":"2507.05300","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.05300","created_at":"2026-07-05T11:33:27Z"},{"alias_kind":"arxiv_version","alias_value":"2507.05300v1","created_at":"2026-07-05T11:33:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.05300","created_at":"2026-07-05T11:33:27Z"},{"alias_kind":"pith_short_12","alias_value":"BMMMNBT3ULP3","created_at":"2026-07-05T11:33:27Z"},{"alias_kind":"pith_short_16","alias_value":"BMMMNBT3ULP3VBY3","created_at":"2026-07-05T11:33:27Z"},{"alias_kind":"pith_short_8","alias_value":"BMMMNBT3","created_at":"2026-07-05T11:33:27Z"}],"graph_snapshots":[{"event_id":"sha256:143a2d721ea811ae417d6d87a0ec8ccbfda681c908ac2ca58676f259252a4a4e","target":"graph","created_at":"2026-07-05T11:33:27Z","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/2507.05300/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We argue that generative text-to-image models often struggle with prompt adherence due to the noisy and unstructured nature of large-scale datasets like LAION-5B. This forces users to rely heavily on prompt engineering to elicit desirable outputs. In this work, we propose that enforcing a consistent caption structure during training can significantly improve model controllability and alignment. We introduce Re-LAION-Caption 19M, a high-quality subset of Re-LAION-5B, comprising 19 million 1024x1024 images with captions generated by a Mistral 7B Instruct-based LLaVA-Next model. Each caption foll","authors_text":"Andrei Cristian Popescu, Carlos Garcia Jurado Suarez, Haitz S\\'aez de Oc\\'ariz Borde, Nicholas Merchant","cross_cats":["cs.AI","cs.CL","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-07T01:18:40Z","title":"Structured Captions Improve Prompt Adherence in Text-to-Image Models (Re-LAION-Caption 19M)"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.05300","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:d5e06ca8390e5ad6db497401c92543056c52528435ed93660ec70a17d3d8e35c","target":"record","created_at":"2026-07-05T11:33:27Z","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":"2ac56503c832276ab2913a465932f4b5905f941b3e9b8168edb2fc7b84a78613","cross_cats_sorted":["cs.AI","cs.CL","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-07T01:18:40Z","title_canon_sha256":"3d5d84ad7ebf855c8a9a125564657e23e9ba59348868a289c168c93eff33c6e6"},"schema_version":"1.0","source":{"id":"2507.05300","kind":"arxiv","version":1}},"canonical_sha256":"0b18c6867ba2dfba871be9ea8d8116de472aae08e2657671787359c82a3155e5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0b18c6867ba2dfba871be9ea8d8116de472aae08e2657671787359c82a3155e5","first_computed_at":"2026-07-05T11:33:27.861254Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:33:27.861254Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"schB9DAYA8wQWSZ87ASliERRC3fOZ74We14mCqnrdc+8UnlWR9oO6YLfaP4tZwvq4iKpRHZ3B4NLlHLr79YdAA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:33:27.861673Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.05300","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d5e06ca8390e5ad6db497401c92543056c52528435ed93660ec70a17d3d8e35c","sha256:143a2d721ea811ae417d6d87a0ec8ccbfda681c908ac2ca58676f259252a4a4e"],"state_sha256":"e0599057c505d0ea5cde4c1df8d21ee38a21dda14557422e3961bf1f9a76b912"}