{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:QMJTCVBVLHIUZ6L2QTWJE745O4","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":"4063394bf4192dc01e73ad79130e3b372ad5dd210e55bcc79cbe7b670adc13a9","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-14T17:59:45Z","title_canon_sha256":"f6034089865d05e08b6eb128961496573455693b904976ac6a8acae929392bb8"},"schema_version":"1.0","source":{"id":"2504.10568","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.10568","created_at":"2026-07-05T11:42:53Z"},{"alias_kind":"arxiv_version","alias_value":"2504.10568v2","created_at":"2026-07-05T11:42:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.10568","created_at":"2026-07-05T11:42:53Z"},{"alias_kind":"pith_short_12","alias_value":"QMJTCVBVLHIU","created_at":"2026-07-05T11:42:53Z"},{"alias_kind":"pith_short_16","alias_value":"QMJTCVBVLHIUZ6L2","created_at":"2026-07-05T11:42:53Z"},{"alias_kind":"pith_short_8","alias_value":"QMJTCVBV","created_at":"2026-07-05T11:42:53Z"}],"graph_snapshots":[{"event_id":"sha256:556e29086200e5cf557a9dfb4f98b277e093796fe7315d00e005ec71cc9c5fb7","target":"graph","created_at":"2026-07-05T11:42:53Z","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/2504.10568/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present AgMMU, a challenging real-world benchmark for evaluating and advancing vision-language models (VLMs) in the knowledge-intensive domain of agriculture. Unlike prior datasets that rely on crowdsourced prompts, AgMMU is distilled from 116,231 authentic dialogues between everyday growers and USDA-authorized Cooperative Extension experts. Through a three-stage pipeline: automated knowledge extraction, QA generation, and human verification, we construct (i) AgMMU, an evaluation set of 746 multiple-choice questions (MCQs) and 746 open-ended questions (OEQs), and (ii) AgBase, a development ","authors_text":"Aruna Gauba, Irene Pi, Vikram S. Adve, Yunze Man, Yu-Xiong Wang, Ziqi Pang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-14T17:59:45Z","title":"AgMMU: A Comprehensive Agricultural Multimodal Understanding Benchmark"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.10568","kind":"arxiv","version":2},"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:b101bcd5e03c395a9cd66fdc7094f023758ebda12c0e9ea90b56124230829d58","target":"record","created_at":"2026-07-05T11:42:53Z","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":"4063394bf4192dc01e73ad79130e3b372ad5dd210e55bcc79cbe7b670adc13a9","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-14T17:59:45Z","title_canon_sha256":"f6034089865d05e08b6eb128961496573455693b904976ac6a8acae929392bb8"},"schema_version":"1.0","source":{"id":"2504.10568","kind":"arxiv","version":2}},"canonical_sha256":"831331543559d14cf97a84ec927f9d7724b9062595d6fe138ebe374bd40d6767","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"831331543559d14cf97a84ec927f9d7724b9062595d6fe138ebe374bd40d6767","first_computed_at":"2026-07-05T11:42:53.988087Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:42:53.988087Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"V7UlHrseCeOnP2p1omTIFJ42yO/Rtopv/VpD2XYUBe/PPl1MMciPmdERDIRKse2Fy6kFHbpCOfSD05MoBbdFAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:42:53.988612Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.10568","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b101bcd5e03c395a9cd66fdc7094f023758ebda12c0e9ea90b56124230829d58","sha256:556e29086200e5cf557a9dfb4f98b277e093796fe7315d00e005ec71cc9c5fb7"],"state_sha256":"2adb08e655e155df7bbf6a54297218129822ad5e301e43570774226ea890f02c"}