{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:XHB7KY7PTFVUOPZGH73BC5FTPE","short_pith_number":"pith:XHB7KY7P","schema_version":"1.0","canonical_sha256":"b9c3f563ef996b473f263ff61174b3790ba3bdb732b9a2e0e56d595d7201ec3d","source":{"kind":"arxiv","id":"2205.08478","version":1},"attestation_state":"computed","paper":{"title":"An Evaluation Framework for Legal Document Summarization","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.IR","cs.LG"],"primary_cat":"cs.CL","authors_text":"Abhilash Nandy, Ankan Mullick, Manav Nitin Kapadnis, Roshni Kar, R Raghav, Sohan Patnaik","submitted_at":"2022-05-17T16:42:03Z","abstract_excerpt":"A law practitioner has to go through numerous lengthy legal case proceedings for their practices of various categories, such as land dispute, corruption, etc. Hence, it is important to summarize these documents, and ensure that summaries contain phrases with intent matching the category of the case. To the best of our knowledge, there is no evaluation metric that evaluates a summary based on its intent. We propose an automated intent-based summarization metric, which shows a better agreement with human evaluation as compared to other automated metrics like BLEU, ROUGE-L etc. in terms of human "},"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":"2205.08478","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-05-17T16:42:03Z","cross_cats_sorted":["cs.IR","cs.LG"],"title_canon_sha256":"b2edb7bc5aff52fecc1bd4ff68c74388f49c793755a082ecb4a4a3aaedbcdb1f","abstract_canon_sha256":"3025b1794cb98118766287e8d8ca5883a667d092d477ecfbcd41475f87ebe462"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:24:03.587465Z","signature_b64":"M4ilpyUpbamFXIRUwYldLeNCbw4i2CK1cYjFXnsnq+LeBlG8KUIUSF9TArFU6yLRY+lhx1dVOAROHMN9tbG0Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b9c3f563ef996b473f263ff61174b3790ba3bdb732b9a2e0e56d595d7201ec3d","last_reissued_at":"2026-07-05T04:24:03.587062Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:24:03.587062Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"An Evaluation Framework for Legal Document Summarization","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.IR","cs.LG"],"primary_cat":"cs.CL","authors_text":"Abhilash Nandy, Ankan Mullick, Manav Nitin Kapadnis, Roshni Kar, R Raghav, Sohan Patnaik","submitted_at":"2022-05-17T16:42:03Z","abstract_excerpt":"A law practitioner has to go through numerous lengthy legal case proceedings for their practices of various categories, such as land dispute, corruption, etc. Hence, it is important to summarize these documents, and ensure that summaries contain phrases with intent matching the category of the case. To the best of our knowledge, there is no evaluation metric that evaluates a summary based on its intent. We propose an automated intent-based summarization metric, which shows a better agreement with human evaluation as compared to other automated metrics like BLEU, ROUGE-L etc. in terms of human "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2205.08478","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/2205.08478/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":"2205.08478","created_at":"2026-07-05T04:24:03.587121+00:00"},{"alias_kind":"arxiv_version","alias_value":"2205.08478v1","created_at":"2026-07-05T04:24:03.587121+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2205.08478","created_at":"2026-07-05T04:24:03.587121+00:00"},{"alias_kind":"pith_short_12","alias_value":"XHB7KY7PTFVU","created_at":"2026-07-05T04:24:03.587121+00:00"},{"alias_kind":"pith_short_16","alias_value":"XHB7KY7PTFVUOPZG","created_at":"2026-07-05T04:24:03.587121+00:00"},{"alias_kind":"pith_short_8","alias_value":"XHB7KY7P","created_at":"2026-07-05T04:24:03.587121+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2509.06356","citing_title":"PL-CA: A Parametric Legal Case Augmentation Framework","ref_index":24,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/XHB7KY7PTFVUOPZGH73BC5FTPE","json":"https://pith.science/pith/XHB7KY7PTFVUOPZGH73BC5FTPE.json","graph_json":"https://pith.science/api/pith-number/XHB7KY7PTFVUOPZGH73BC5FTPE/graph.json","events_json":"https://pith.science/api/pith-number/XHB7KY7PTFVUOPZGH73BC5FTPE/events.json","paper":"https://pith.science/paper/XHB7KY7P"},"agent_actions":{"view_html":"https://pith.science/pith/XHB7KY7PTFVUOPZGH73BC5FTPE","download_json":"https://pith.science/pith/XHB7KY7PTFVUOPZGH73BC5FTPE.json","view_paper":"https://pith.science/paper/XHB7KY7P","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2205.08478&json=true","fetch_graph":"https://pith.science/api/pith-number/XHB7KY7PTFVUOPZGH73BC5FTPE/graph.json","fetch_events":"https://pith.science/api/pith-number/XHB7KY7PTFVUOPZGH73BC5FTPE/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/XHB7KY7PTFVUOPZGH73BC5FTPE/action/timestamp_anchor","attest_storage":"https://pith.science/pith/XHB7KY7PTFVUOPZGH73BC5FTPE/action/storage_attestation","attest_author":"https://pith.science/pith/XHB7KY7PTFVUOPZGH73BC5FTPE/action/author_attestation","sign_citation":"https://pith.science/pith/XHB7KY7PTFVUOPZGH73BC5FTPE/action/citation_signature","submit_replication":"https://pith.science/pith/XHB7KY7PTFVUOPZGH73BC5FTPE/action/replication_record"}},"created_at":"2026-07-05T04:24:03.587121+00:00","updated_at":"2026-07-05T04:24:03.587121+00:00"}