{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:Z3J52DAPTMTQ6PV3WLXYJ4TCA7","short_pith_number":"pith:Z3J52DAP","schema_version":"1.0","canonical_sha256":"ced3dd0c0f9b270f3ebbb2ef84f26207fdd0e07726c867e86a0c0c7e4d4cadbe","source":{"kind":"arxiv","id":"2211.12752","version":1},"attestation_state":"computed","paper":{"title":"Agent-Specific Deontic Modality Detection in Legal Language","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Abhilasha Sancheti, Aparna Garimella, Balaji Vasan Srinivasan, Rachel Rudinger","submitted_at":"2022-11-23T07:32:23Z","abstract_excerpt":"Legal documents are typically long and written in legalese, which makes it particularly difficult for laypeople to understand their rights and duties. While natural language understanding technologies can be valuable in supporting such understanding in the legal domain, the limited availability of datasets annotated for deontic modalities in the legal domain, due to the cost of hiring experts and privacy issues, is a bottleneck. To this end, we introduce, LEXDEMOD, a corpus of English contracts annotated with deontic modality expressed with respect to a contracting party or agent along with th"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2211.12752","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-11-23T07:32:23Z","cross_cats_sorted":[],"title_canon_sha256":"8ffb16b292feca7756cf73d736a98c9b4dff183ab59c6bbaf186d896780c1c59","abstract_canon_sha256":"bff8baf2b551703c7048569cfd13f24d6f7317a8ccc04bef803ae81eb8c466e0"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:18:54.495600Z","signature_b64":"4HLuh0ITJW7QG67cexkC1HQFPzPNXCTBX+uz3lT7dcotuUFVAbvcZBOdiwF3V96e+l9QUXZEJRvKUnh5ps42Ag==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ced3dd0c0f9b270f3ebbb2ef84f26207fdd0e07726c867e86a0c0c7e4d4cadbe","last_reissued_at":"2026-07-05T05:18:54.495076Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:18:54.495076Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Agent-Specific Deontic Modality Detection in Legal Language","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Abhilasha Sancheti, Aparna Garimella, Balaji Vasan Srinivasan, Rachel Rudinger","submitted_at":"2022-11-23T07:32:23Z","abstract_excerpt":"Legal documents are typically long and written in legalese, which makes it particularly difficult for laypeople to understand their rights and duties. While natural language understanding technologies can be valuable in supporting such understanding in the legal domain, the limited availability of datasets annotated for deontic modalities in the legal domain, due to the cost of hiring experts and privacy issues, is a bottleneck. To this end, we introduce, LEXDEMOD, a corpus of English contracts annotated with deontic modality expressed with respect to a contracting party or agent along with th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.12752","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2211.12752/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2211.12752","created_at":"2026-07-05T05:18:54.495134+00:00"},{"alias_kind":"arxiv_version","alias_value":"2211.12752v1","created_at":"2026-07-05T05:18:54.495134+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.12752","created_at":"2026-07-05T05:18:54.495134+00:00"},{"alias_kind":"pith_short_12","alias_value":"Z3J52DAPTMTQ","created_at":"2026-07-05T05:18:54.495134+00:00"},{"alias_kind":"pith_short_16","alias_value":"Z3J52DAPTMTQ6PV3","created_at":"2026-07-05T05:18:54.495134+00:00"},{"alias_kind":"pith_short_8","alias_value":"Z3J52DAP","created_at":"2026-07-05T05:18:54.495134+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2505.00479","citing_title":"Computational Identification of Regulatory Statements in EU Legislation","ref_index":38,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/Z3J52DAPTMTQ6PV3WLXYJ4TCA7","json":"https://pith.science/pith/Z3J52DAPTMTQ6PV3WLXYJ4TCA7.json","graph_json":"https://pith.science/api/pith-number/Z3J52DAPTMTQ6PV3WLXYJ4TCA7/graph.json","events_json":"https://pith.science/api/pith-number/Z3J52DAPTMTQ6PV3WLXYJ4TCA7/events.json","paper":"https://pith.science/paper/Z3J52DAP"},"agent_actions":{"view_html":"https://pith.science/pith/Z3J52DAPTMTQ6PV3WLXYJ4TCA7","download_json":"https://pith.science/pith/Z3J52DAPTMTQ6PV3WLXYJ4TCA7.json","view_paper":"https://pith.science/paper/Z3J52DAP","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2211.12752&json=true","fetch_graph":"https://pith.science/api/pith-number/Z3J52DAPTMTQ6PV3WLXYJ4TCA7/graph.json","fetch_events":"https://pith.science/api/pith-number/Z3J52DAPTMTQ6PV3WLXYJ4TCA7/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/Z3J52DAPTMTQ6PV3WLXYJ4TCA7/action/timestamp_anchor","attest_storage":"https://pith.science/pith/Z3J52DAPTMTQ6PV3WLXYJ4TCA7/action/storage_attestation","attest_author":"https://pith.science/pith/Z3J52DAPTMTQ6PV3WLXYJ4TCA7/action/author_attestation","sign_citation":"https://pith.science/pith/Z3J52DAPTMTQ6PV3WLXYJ4TCA7/action/citation_signature","submit_replication":"https://pith.science/pith/Z3J52DAPTMTQ6PV3WLXYJ4TCA7/action/replication_record"}},"created_at":"2026-07-05T05:18:54.495134+00:00","updated_at":"2026-07-05T05:18:54.495134+00:00"}