{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:AZADXBXQJRFDI6M625ZZM2U6P2","short_pith_number":"pith:AZADXBXQ","schema_version":"1.0","canonical_sha256":"06403b86f04c4a34799ed773966a9e7ebff3b89c34579b6c20654433457344d4","source":{"kind":"arxiv","id":"2307.05260","version":1},"attestation_state":"computed","paper":{"title":"U-CREAT: Unsupervised Case Retrieval using Events extrAcTion","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI","cs.CL","cs.LG"],"primary_cat":"cs.IR","authors_text":"Abhinav Joshi, Akshat Sharma, Ashutosh Modi, Sai Kiran Tanikella","submitted_at":"2023-07-11T13:51:12Z","abstract_excerpt":"The task of Prior Case Retrieval (PCR) in the legal domain is about automatically citing relevant (based on facts and precedence) prior legal cases in a given query case. To further promote research in PCR, in this paper, we propose a new large benchmark (in English) for the PCR task: IL-PCR (Indian Legal Prior Case Retrieval) corpus. Given the complex nature of case relevance and the long size of legal documents, BM25 remains a strong baseline for ranking the cited prior documents. In this work, we explore the role of events in legal case retrieval and propose an unsupervised retrieval method"},"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":"2307.05260","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.IR","submitted_at":"2023-07-11T13:51:12Z","cross_cats_sorted":["cs.AI","cs.CL","cs.LG"],"title_canon_sha256":"d5ceeeddec156bdf043d82088ceaf2331de5341c8c976b46d1287efbc3666f6e","abstract_canon_sha256":"713335ca6fbe2207a67d02068a702eda039b3853ef5770ba608184fde1259b7f"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:29:55.058605Z","signature_b64":"s+4SEd8tRWZ8Y+zZsKuaN2Ut1hAz2qC90cNrSUpGD0w0OUgxlJZqwo1dJ03jSEGzFycs3p8MTWteGxAuYgnLCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"06403b86f04c4a34799ed773966a9e7ebff3b89c34579b6c20654433457344d4","last_reissued_at":"2026-07-05T06:29:55.057947Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:29:55.057947Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"U-CREAT: Unsupervised Case Retrieval using Events extrAcTion","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI","cs.CL","cs.LG"],"primary_cat":"cs.IR","authors_text":"Abhinav Joshi, Akshat Sharma, Ashutosh Modi, Sai Kiran Tanikella","submitted_at":"2023-07-11T13:51:12Z","abstract_excerpt":"The task of Prior Case Retrieval (PCR) in the legal domain is about automatically citing relevant (based on facts and precedence) prior legal cases in a given query case. To further promote research in PCR, in this paper, we propose a new large benchmark (in English) for the PCR task: IL-PCR (Indian Legal Prior Case Retrieval) corpus. Given the complex nature of case relevance and the long size of legal documents, BM25 remains a strong baseline for ranking the cited prior documents. In this work, we explore the role of events in legal case retrieval and propose an unsupervised retrieval method"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.05260","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/2307.05260/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":"2307.05260","created_at":"2026-07-05T06:29:55.058011+00:00"},{"alias_kind":"arxiv_version","alias_value":"2307.05260v1","created_at":"2026-07-05T06:29:55.058011+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.05260","created_at":"2026-07-05T06:29:55.058011+00:00"},{"alias_kind":"pith_short_12","alias_value":"AZADXBXQJRFD","created_at":"2026-07-05T06:29:55.058011+00:00"},{"alias_kind":"pith_short_16","alias_value":"AZADXBXQJRFDI6M6","created_at":"2026-07-05T06:29:55.058011+00:00"},{"alias_kind":"pith_short_8","alias_value":"AZADXBXQ","created_at":"2026-07-05T06:29:55.058011+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/AZADXBXQJRFDI6M625ZZM2U6P2","json":"https://pith.science/pith/AZADXBXQJRFDI6M625ZZM2U6P2.json","graph_json":"https://pith.science/api/pith-number/AZADXBXQJRFDI6M625ZZM2U6P2/graph.json","events_json":"https://pith.science/api/pith-number/AZADXBXQJRFDI6M625ZZM2U6P2/events.json","paper":"https://pith.science/paper/AZADXBXQ"},"agent_actions":{"view_html":"https://pith.science/pith/AZADXBXQJRFDI6M625ZZM2U6P2","download_json":"https://pith.science/pith/AZADXBXQJRFDI6M625ZZM2U6P2.json","view_paper":"https://pith.science/paper/AZADXBXQ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2307.05260&json=true","fetch_graph":"https://pith.science/api/pith-number/AZADXBXQJRFDI6M625ZZM2U6P2/graph.json","fetch_events":"https://pith.science/api/pith-number/AZADXBXQJRFDI6M625ZZM2U6P2/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/AZADXBXQJRFDI6M625ZZM2U6P2/action/timestamp_anchor","attest_storage":"https://pith.science/pith/AZADXBXQJRFDI6M625ZZM2U6P2/action/storage_attestation","attest_author":"https://pith.science/pith/AZADXBXQJRFDI6M625ZZM2U6P2/action/author_attestation","sign_citation":"https://pith.science/pith/AZADXBXQJRFDI6M625ZZM2U6P2/action/citation_signature","submit_replication":"https://pith.science/pith/AZADXBXQJRFDI6M625ZZM2U6P2/action/replication_record"}},"created_at":"2026-07-05T06:29:55.058011+00:00","updated_at":"2026-07-05T06:29:55.058011+00:00"}