{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:7UNURDMDMSOCYABBJOJ6HFSQYK","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":"b0e83b0413f0a596c8c9752f6f1696daeeeb9aeeab8f74749722911ce1635653","cross_cats_sorted":["cs.MA"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-30T17:16:59Z","title_canon_sha256":"4f99cd3c1550686b88f91bb72b1626159f9585f1240d48b314457091352edc16"},"schema_version":"1.0","source":{"id":"2606.31976","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.31976","created_at":"2026-07-01T01:18:27Z"},{"alias_kind":"arxiv_version","alias_value":"2606.31976v1","created_at":"2026-07-01T01:18:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.31976","created_at":"2026-07-01T01:18:27Z"},{"alias_kind":"pith_short_12","alias_value":"7UNURDMDMSOC","created_at":"2026-07-01T01:18:27Z"},{"alias_kind":"pith_short_16","alias_value":"7UNURDMDMSOCYABB","created_at":"2026-07-01T01:18:27Z"},{"alias_kind":"pith_short_8","alias_value":"7UNURDMD","created_at":"2026-07-01T01:18:27Z"}],"graph_snapshots":[{"event_id":"sha256:07f0da3bb585031b5a8f937388df74816e42606e32ec6de1451fd4861987d24d","target":"graph","created_at":"2026-07-01T01:18:27Z","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/2606.31976/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Human-labeled data are widely used as reference annotations in ML, despite known variability across annotators in many expert-driven domains. In addition, expert annotation is slow, inconsistent, and remains a major bottleneck for scaling tasks like tree height bias classification in forestry remote sensing. We propose a multi-agent system (MAS) that orchestrates expert decision trees with Vision-Language Models (VLMs), treating the decision tree as a structural prior while VLMs perform localized semantic perception at individual nodes, with multi-agent voting to mitigate VLM stochasticity. We","authors_text":"Collin Hargreaves, Huiqi Wang, Nicholas Saban, Shiyi Chen","cross_cats":["cs.MA"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-30T17:16:59Z","title":"TreeAgent: A Generalizable Multi-Agent Framework for Automated Bias Labeling in Forestry via Compiled Expert Rules and Vision-Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.31976","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":"sha256:2d2435c0b51ae727a621a314eed7f64704695bc7ca21156b236151e285f31436","target":"record","created_at":"2026-07-01T01:18:27Z","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":"b0e83b0413f0a596c8c9752f6f1696daeeeb9aeeab8f74749722911ce1635653","cross_cats_sorted":["cs.MA"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-30T17:16:59Z","title_canon_sha256":"4f99cd3c1550686b88f91bb72b1626159f9585f1240d48b314457091352edc16"},"schema_version":"1.0","source":{"id":"2606.31976","kind":"arxiv","version":1}},"canonical_sha256":"fd1b488d83649c2c00214b93e39650c2886dd5f5b57f5d925bb50db0aa3f5bf1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fd1b488d83649c2c00214b93e39650c2886dd5f5b57f5d925bb50db0aa3f5bf1","first_computed_at":"2026-07-01T01:18:27.464610Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-01T01:18:27.464610Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uYi3IT1S3O01alg/7RG8WI00OA7bW5rl0+rSyvCZZbbpPjjOE+eu4iIHiwWP6KQ2QVLFtcY9jYNtiBGFSkMhDw==","signature_status":"signed_v1","signed_at":"2026-07-01T01:18:27.465033Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.31976","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2d2435c0b51ae727a621a314eed7f64704695bc7ca21156b236151e285f31436","sha256:07f0da3bb585031b5a8f937388df74816e42606e32ec6de1451fd4861987d24d"],"state_sha256":"526877bd0161f764e1122b28fa7c7afec446ace2390e59ecbd5ff7593758556c"}