{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:CRT6U5PTVZVAW5TTGEW43SSRH5","short_pith_number":"pith:CRT6U5PT","canonical_record":{"source":{"id":"2406.17186","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-06-24T23:57:57Z","cross_cats_sorted":["cs.CY"],"title_canon_sha256":"ed590055ee76e5b892c32ec950f74749b5afff7c96f217aaa3deba89a89c77a9","abstract_canon_sha256":"eaed7ff8beffafa746c1c3ad92361771b4dd3f29af8c5031d3792fc1773d1e28"},"schema_version":"1.0"},"canonical_sha256":"1467ea75f3ae6a0b7673312dcdca513f4d33e25ef315cd37a872f28b98af30c6","source":{"kind":"arxiv","id":"2406.17186","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.17186","created_at":"2026-07-05T08:37:21Z"},{"alias_kind":"arxiv_version","alias_value":"2406.17186v2","created_at":"2026-07-05T08:37:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.17186","created_at":"2026-07-05T08:37:21Z"},{"alias_kind":"pith_short_12","alias_value":"CRT6U5PTVZVA","created_at":"2026-07-05T08:37:21Z"},{"alias_kind":"pith_short_16","alias_value":"CRT6U5PTVZVAW5TT","created_at":"2026-07-05T08:37:21Z"},{"alias_kind":"pith_short_8","alias_value":"CRT6U5PT","created_at":"2026-07-05T08:37:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:CRT6U5PTVZVAW5TTGEW43SSRH5","target":"record","payload":{"canonical_record":{"source":{"id":"2406.17186","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-06-24T23:57:57Z","cross_cats_sorted":["cs.CY"],"title_canon_sha256":"ed590055ee76e5b892c32ec950f74749b5afff7c96f217aaa3deba89a89c77a9","abstract_canon_sha256":"eaed7ff8beffafa746c1c3ad92361771b4dd3f29af8c5031d3792fc1773d1e28"},"schema_version":"1.0"},"canonical_sha256":"1467ea75f3ae6a0b7673312dcdca513f4d33e25ef315cd37a872f28b98af30c6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:37:21.248869Z","signature_b64":"jB5ezdgZZ0jqJGyTHD3eHpeVKG5O5xwqzXPTv5+iKGmNLkkYToIuwIRj4o2vOfq/TzlUt/uqZgMUkqnEDiYVBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1467ea75f3ae6a0b7673312dcdca513f4d33e25ef315cd37a872f28b98af30c6","last_reissued_at":"2026-07-05T08:37:21.248453Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:37:21.248453Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2406.17186","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:37:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3B2CHiL0JYStvn5/W+R1mrynjrA1ZGYGwhxQ9mqdsY3UCJS51MP2WG9wZHqaics6AlUknKTT+ch/Hx1KxmQ/AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T08:38:02.790502Z"},"content_sha256":"79735953aaa597570c3912fa8ae9bed3052a3c43fbabc40e8b85803212361a5c","schema_version":"1.0","event_id":"sha256:79735953aaa597570c3912fa8ae9bed3052a3c43fbabc40e8b85803212361a5c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:CRT6U5PTVZVAW5TTGEW43SSRH5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CLERC: A Dataset for Legal Case Retrieval and Retrieval-Augmented Analysis Generation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CY"],"primary_cat":"cs.CL","authors_text":"Abe Bohan Hou, Andrew Blair-Stanek, Benjamin Van Durme, Dawn Lawrie, Eugene Yang, Guanghui Qin, Nils Holzenberger, Orion Weller","submitted_at":"2024-06-24T23:57:57Z","abstract_excerpt":"Legal professionals need to write analyses that rely on citations to relevant precedents, i.e., previous case decisions. Intelligent systems assisting legal professionals in writing such documents provide great benefits but are challenging to design. Such systems need to help locate, summarize, and reason over salient precedents in order to be useful. To enable systems for such tasks, we work with legal professionals to transform a large open-source legal corpus into a dataset supporting two important backbone tasks: information retrieval (IR) and retrieval-augmented generation (RAG). This dat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.17186","kind":"arxiv","version":2},"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/2406.17186/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:37:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FbQ/Xw4saLa1n4Fki4m2nDxeqzqP5rq/GasVOtw9vUQMTztGGVhB44Dv7neshxZccGSex/Gr1QzAdNAK7vK3Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T08:38:02.791024Z"},"content_sha256":"d7abb5bbed9bfe9236f75265faeebfcef4ae0e191c8d841c46cf154e5b1ce12e","schema_version":"1.0","event_id":"sha256:d7abb5bbed9bfe9236f75265faeebfcef4ae0e191c8d841c46cf154e5b1ce12e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CRT6U5PTVZVAW5TTGEW43SSRH5/bundle.json","state_url":"https://pith.science/pith/CRT6U5PTVZVAW5TTGEW43SSRH5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CRT6U5PTVZVAW5TTGEW43SSRH5/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-11T08:38:02Z","links":{"resolver":"https://pith.science/pith/CRT6U5PTVZVAW5TTGEW43SSRH5","bundle":"https://pith.science/pith/CRT6U5PTVZVAW5TTGEW43SSRH5/bundle.json","state":"https://pith.science/pith/CRT6U5PTVZVAW5TTGEW43SSRH5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CRT6U5PTVZVAW5TTGEW43SSRH5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:CRT6U5PTVZVAW5TTGEW43SSRH5","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":"eaed7ff8beffafa746c1c3ad92361771b4dd3f29af8c5031d3792fc1773d1e28","cross_cats_sorted":["cs.CY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-06-24T23:57:57Z","title_canon_sha256":"ed590055ee76e5b892c32ec950f74749b5afff7c96f217aaa3deba89a89c77a9"},"schema_version":"1.0","source":{"id":"2406.17186","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.17186","created_at":"2026-07-05T08:37:21Z"},{"alias_kind":"arxiv_version","alias_value":"2406.17186v2","created_at":"2026-07-05T08:37:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.17186","created_at":"2026-07-05T08:37:21Z"},{"alias_kind":"pith_short_12","alias_value":"CRT6U5PTVZVA","created_at":"2026-07-05T08:37:21Z"},{"alias_kind":"pith_short_16","alias_value":"CRT6U5PTVZVAW5TT","created_at":"2026-07-05T08:37:21Z"},{"alias_kind":"pith_short_8","alias_value":"CRT6U5PT","created_at":"2026-07-05T08:37:21Z"}],"graph_snapshots":[{"event_id":"sha256:d7abb5bbed9bfe9236f75265faeebfcef4ae0e191c8d841c46cf154e5b1ce12e","target":"graph","created_at":"2026-07-05T08:37:21Z","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/2406.17186/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Legal professionals need to write analyses that rely on citations to relevant precedents, i.e., previous case decisions. Intelligent systems assisting legal professionals in writing such documents provide great benefits but are challenging to design. Such systems need to help locate, summarize, and reason over salient precedents in order to be useful. To enable systems for such tasks, we work with legal professionals to transform a large open-source legal corpus into a dataset supporting two important backbone tasks: information retrieval (IR) and retrieval-augmented generation (RAG). This dat","authors_text":"Abe Bohan Hou, Andrew Blair-Stanek, Benjamin Van Durme, Dawn Lawrie, Eugene Yang, Guanghui Qin, Nils Holzenberger, Orion Weller","cross_cats":["cs.CY"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-06-24T23:57:57Z","title":"CLERC: A Dataset for Legal Case Retrieval and Retrieval-Augmented Analysis Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.17186","kind":"arxiv","version":2},"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":"sha256:79735953aaa597570c3912fa8ae9bed3052a3c43fbabc40e8b85803212361a5c","target":"record","created_at":"2026-07-05T08:37:21Z","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":"eaed7ff8beffafa746c1c3ad92361771b4dd3f29af8c5031d3792fc1773d1e28","cross_cats_sorted":["cs.CY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-06-24T23:57:57Z","title_canon_sha256":"ed590055ee76e5b892c32ec950f74749b5afff7c96f217aaa3deba89a89c77a9"},"schema_version":"1.0","source":{"id":"2406.17186","kind":"arxiv","version":2}},"canonical_sha256":"1467ea75f3ae6a0b7673312dcdca513f4d33e25ef315cd37a872f28b98af30c6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1467ea75f3ae6a0b7673312dcdca513f4d33e25ef315cd37a872f28b98af30c6","first_computed_at":"2026-07-05T08:37:21.248453Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:37:21.248453Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jB5ezdgZZ0jqJGyTHD3eHpeVKG5O5xwqzXPTv5+iKGmNLkkYToIuwIRj4o2vOfq/TzlUt/uqZgMUkqnEDiYVBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:37:21.248869Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.17186","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:79735953aaa597570c3912fa8ae9bed3052a3c43fbabc40e8b85803212361a5c","sha256:d7abb5bbed9bfe9236f75265faeebfcef4ae0e191c8d841c46cf154e5b1ce12e"],"state_sha256":"ba89de34dfa7d47a8c56aa35073249316e3933912d350dfd4415babd61aac3bd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8wQ5rOBlsieyOzrvKQnFN8KDXiIgz1DncMn6UWWZoEHl1PQ0mQ8Qo9Op3g6mhTEzbejIHBZGrX84QU217ep9DQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T08:38:02.795866Z","bundle_sha256":"ee658b614bd2f462044a9d059c4ad7ce2b21512f25b90a9d7a0bb948ac22a57b"}}