{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:6M2VMBTE3HD44W6SRVUA7RAIYV","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":"e53032bdb73213c0da33e45990edd15143e7016dc5b01a2c6709c9b87f1eabc7","cross_cats_sorted":["cs.CV","cs.CY","cs.HC","cs.SI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-12-14T18:20:59Z","title_canon_sha256":"3b92419031011011bb5d562d59f50b7e2d689cdd7ca89e73154b36b4d7887898"},"schema_version":"1.0","source":{"id":"2312.09198","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.09198","created_at":"2026-07-05T07:24:15Z"},{"alias_kind":"arxiv_version","alias_value":"2312.09198v1","created_at":"2026-07-05T07:24:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.09198","created_at":"2026-07-05T07:24:15Z"},{"alias_kind":"pith_short_12","alias_value":"6M2VMBTE3HD4","created_at":"2026-07-05T07:24:15Z"},{"alias_kind":"pith_short_16","alias_value":"6M2VMBTE3HD44W6S","created_at":"2026-07-05T07:24:15Z"},{"alias_kind":"pith_short_8","alias_value":"6M2VMBTE","created_at":"2026-07-05T07:24:15Z"}],"graph_snapshots":[{"event_id":"sha256:15553e1761a028ef6f99ec531b8b5f4174ee9df2d76b284765cd3a0d5da3ba17","target":"graph","created_at":"2026-07-05T07:24:15Z","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/2312.09198/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Can generative AI help us speed up the authoring of tools to help self-represented litigants?\n  In this paper, we describe 3 approaches to automating the completion of court forms: a generative AI approach that uses GPT-3 to iteratively prompt the user to answer questions, a constrained template-driven approach that uses GPT-4-turbo to generate a draft of questions that are subject to human review, and a hybrid method. We use the open source Docassemble platform in all 3 experiments, together with a tool created at Suffolk University Law School called the Assembly Line Weaver. We conclude that","authors_text":"Bryce Willey, David Colarusso, Quinten Steenhuis","cross_cats":["cs.CV","cs.CY","cs.HC","cs.SI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-12-14T18:20:59Z","title":"Weaving Pathways for Justice with GPT: LLM-driven automated drafting of interactive legal applications"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.09198","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":"sha256:06e9b5eff8e2945b5ee4bb4dfbff276b66ed21532a90c3d5f03297a1b30b1c23","target":"record","created_at":"2026-07-05T07:24:15Z","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":"e53032bdb73213c0da33e45990edd15143e7016dc5b01a2c6709c9b87f1eabc7","cross_cats_sorted":["cs.CV","cs.CY","cs.HC","cs.SI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-12-14T18:20:59Z","title_canon_sha256":"3b92419031011011bb5d562d59f50b7e2d689cdd7ca89e73154b36b4d7887898"},"schema_version":"1.0","source":{"id":"2312.09198","kind":"arxiv","version":1}},"canonical_sha256":"f335560664d9c7ce5bd28d680fc408c54c25701ea431f33d5bd53f48ad376d5e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f335560664d9c7ce5bd28d680fc408c54c25701ea431f33d5bd53f48ad376d5e","first_computed_at":"2026-07-05T07:24:15.929978Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:24:15.929978Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fEw08OtSCemVmvLNZRFOIkrwDpbpXOTJqVZJvYhWoZ25APV/Q6ApIqWJaez1tFKA0Zaq8ZX0ew6E0QzorSNnDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:24:15.930481Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.09198","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:06e9b5eff8e2945b5ee4bb4dfbff276b66ed21532a90c3d5f03297a1b30b1c23","sha256:15553e1761a028ef6f99ec531b8b5f4174ee9df2d76b284765cd3a0d5da3ba17"],"state_sha256":"2e54886e2e5b7abc933455ba220632270c58bc7f198376553511c55bcea0a3bc"}