{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:ZGNXWQ4EWZASXMAJPKRVOYIW24","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":"21b5395d0b9d46bcf7e4787cf78029db1b94ca8a426ec3d9094486377286b9e5","cross_cats_sorted":["cs.CV","cs.GR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-24T14:21:01Z","title_canon_sha256":"094b1adcae30448c95d858a1d8aacaceb81b96a9949bc96e44999651a5750f76"},"schema_version":"1.0","source":{"id":"2606.28406","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.28406","created_at":"2026-06-30T00:15:13Z"},{"alias_kind":"arxiv_version","alias_value":"2606.28406v1","created_at":"2026-06-30T00:15:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.28406","created_at":"2026-06-30T00:15:13Z"},{"alias_kind":"pith_short_12","alias_value":"ZGNXWQ4EWZAS","created_at":"2026-06-30T00:15:13Z"},{"alias_kind":"pith_short_16","alias_value":"ZGNXWQ4EWZASXMAJ","created_at":"2026-06-30T00:15:13Z"},{"alias_kind":"pith_short_8","alias_value":"ZGNXWQ4E","created_at":"2026-06-30T00:15:13Z"}],"graph_snapshots":[{"event_id":"sha256:595413c39690185c1c785bd89b0eedd1f9ee08f6db218f57e96fedcb88c954d7","target":"graph","created_at":"2026-06-30T00:15:13Z","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/2606.28406/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Text-to-image and multimodal generative models are increasingly used to produce scientific figures such as mechanism diagrams, experimental-design schematics, conceptual frameworks, and graphical abstracts. Yet existing image-generation benchmarks (e.g., GenEval, T2I-CompBench, DPG-Bench) evaluate natural images and measure compositionality, object counting, or photorealism. None of them measure what makes a generated scientific figure usable: correct and legible text labels, faithful depiction of entities and their relations, coherent diagrammatic structure, and adherence to disciplinary draw","authors_text":"Davie Chen","cross_cats":["cs.CV","cs.GR"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-24T14:21:01Z","title":"Can AI Draw Science? A Benchmark for Evaluating Scientific Figure Generation by Text-to-Image and Multimodal Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.28406","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":"sha256:9db26fd59bec6768d4d901fd70fa9e4f6f72d3baa6e8d8ac4733220662d8195f","target":"record","created_at":"2026-06-30T00:15:13Z","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":"21b5395d0b9d46bcf7e4787cf78029db1b94ca8a426ec3d9094486377286b9e5","cross_cats_sorted":["cs.CV","cs.GR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-24T14:21:01Z","title_canon_sha256":"094b1adcae30448c95d858a1d8aacaceb81b96a9949bc96e44999651a5750f76"},"schema_version":"1.0","source":{"id":"2606.28406","kind":"arxiv","version":1}},"canonical_sha256":"c99b7b4384b6412bb0097aa3576116d706974ecd54e187840375043ae1de1504","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c99b7b4384b6412bb0097aa3576116d706974ecd54e187840375043ae1de1504","first_computed_at":"2026-06-30T00:15:13.232622Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-30T00:15:13.232622Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uGTLfZARnFAgJGDBlbspREOReCGqpSyAEB4zKD/JAb5Weis4kS/4RkcL3yP5WJxCmFTvVq9diJqcSxod9CoSDQ==","signature_status":"signed_v1","signed_at":"2026-06-30T00:15:13.233030Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.28406","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9db26fd59bec6768d4d901fd70fa9e4f6f72d3baa6e8d8ac4733220662d8195f","sha256:595413c39690185c1c785bd89b0eedd1f9ee08f6db218f57e96fedcb88c954d7"],"state_sha256":"f50ff05e5aafa4cb1518bcdc849559af9fcc9b0b4f1c5fcc493aa76a30d437d8"}