{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:LJAHIV3LUAPSRBGDDOSQ24N6UU","short_pith_number":"pith:LJAHIV3L","canonical_record":{"source":{"id":"1807.02478","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-07-04T02:09:06Z","cross_cats_sorted":[],"title_canon_sha256":"d973711c390de0d80cdbeea109fa2aecf5ee3c358301e8c225e4af5bbee84c8b","abstract_canon_sha256":"b3df428e234c278fcea81e4f707be093e4b1ada212cf2b2185d6d653fcfb102a"},"schema_version":"1.0"},"canonical_sha256":"5a4074576ba01f2884c31ba50d71bea53ee12812648c8f8001890b44ce60d966","source":{"kind":"arxiv","id":"1807.02478","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.02478","created_at":"2026-05-18T00:11:21Z"},{"alias_kind":"arxiv_version","alias_value":"1807.02478v1","created_at":"2026-05-18T00:11:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.02478","created_at":"2026-05-18T00:11:21Z"},{"alias_kind":"pith_short_12","alias_value":"LJAHIV3LUAPS","created_at":"2026-05-18T12:32:37Z"},{"alias_kind":"pith_short_16","alias_value":"LJAHIV3LUAPSRBGD","created_at":"2026-05-18T12:32:37Z"},{"alias_kind":"pith_short_8","alias_value":"LJAHIV3L","created_at":"2026-05-18T12:32:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:LJAHIV3LUAPSRBGDDOSQ24N6UU","target":"record","payload":{"canonical_record":{"source":{"id":"1807.02478","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-07-04T02:09:06Z","cross_cats_sorted":[],"title_canon_sha256":"d973711c390de0d80cdbeea109fa2aecf5ee3c358301e8c225e4af5bbee84c8b","abstract_canon_sha256":"b3df428e234c278fcea81e4f707be093e4b1ada212cf2b2185d6d653fcfb102a"},"schema_version":"1.0"},"canonical_sha256":"5a4074576ba01f2884c31ba50d71bea53ee12812648c8f8001890b44ce60d966","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:11:21.883210Z","signature_b64":"rqz7GJckd6t2a3fUnAOvDueja5X9FpUKDbYKwNKSxt328+B5UFbgmnthvrKN9ztGIeY/6jFHTUXcH6azCLbBAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5a4074576ba01f2884c31ba50d71bea53ee12812648c8f8001890b44ce60d966","last_reissued_at":"2026-05-18T00:11:21.882575Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:11:21.882575Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1807.02478","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:11:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uaLDFXTHEmZdHAj3yoChZpneuSkbPzeda1AHX2WK0P4d/rkZG5uZcFnAdNL+vEjfl01VEEPiBT3NvqdyAlXACQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-20T12:05:26.684236Z"},"content_sha256":"81794ed10ed537de292321432d98605b54f92b001cd04e5b7f1dcd02d91b5d74","schema_version":"1.0","event_id":"sha256:81794ed10ed537de292321432d98605b54f92b001cd04e5b7f1dcd02d91b5d74"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:LJAHIV3LUAPSRBGDDOSQ24N6UU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CAIL2018: A Large-Scale Legal Dataset for Judgment Prediction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Chaojun Xiao, Cunchao Tu, Haoxi Zhong, Heng Wang, Jianfeng Xu, Maosong Sun, Xianpei Han, Yansong Feng, Zhen Hu, Zhipeng Guo, Zhiyuan Liu","submitted_at":"2018-07-04T02:09:06Z","abstract_excerpt":"In this paper, we introduce the \\textbf{C}hinese \\textbf{AI} and \\textbf{L}aw challenge dataset (CAIL2018), the first large-scale Chinese legal dataset for judgment prediction. \\dataset contains more than $2.6$ million criminal cases published by the Supreme People's Court of China, which are several times larger than other datasets in existing works on judgment prediction. Moreover, the annotations of judgment results are more detailed and rich. It consists of applicable law articles, charges, and prison terms, which are expected to be inferred according to the fact descriptions of cases. For"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.02478","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":""},"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":"2026-05-18T00:11:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"df5KQIm3r1cE8CmduRH+rsM7g23F+c3uMPh2Bm5w3byztF2YuuIlbYSdIjyprVSbP4pBWG1lcJ7F3UsDm67OAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-20T12:05:26.684597Z"},"content_sha256":"c0c45502a2d22d5b27bbe4780a7bd48beaf8d8f495d0eb9860b6f04b658e324d","schema_version":"1.0","event_id":"sha256:c0c45502a2d22d5b27bbe4780a7bd48beaf8d8f495d0eb9860b6f04b658e324d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LJAHIV3LUAPSRBGDDOSQ24N6UU/bundle.json","state_url":"https://pith.science/pith/LJAHIV3LUAPSRBGDDOSQ24N6UU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LJAHIV3LUAPSRBGDDOSQ24N6UU/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":"2026-05-20T12:05:26Z","links":{"resolver":"https://pith.science/pith/LJAHIV3LUAPSRBGDDOSQ24N6UU","bundle":"https://pith.science/pith/LJAHIV3LUAPSRBGDDOSQ24N6UU/bundle.json","state":"https://pith.science/pith/LJAHIV3LUAPSRBGDDOSQ24N6UU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LJAHIV3LUAPSRBGDDOSQ24N6UU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:LJAHIV3LUAPSRBGDDOSQ24N6UU","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":"b3df428e234c278fcea81e4f707be093e4b1ada212cf2b2185d6d653fcfb102a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-07-04T02:09:06Z","title_canon_sha256":"d973711c390de0d80cdbeea109fa2aecf5ee3c358301e8c225e4af5bbee84c8b"},"schema_version":"1.0","source":{"id":"1807.02478","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.02478","created_at":"2026-05-18T00:11:21Z"},{"alias_kind":"arxiv_version","alias_value":"1807.02478v1","created_at":"2026-05-18T00:11:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.02478","created_at":"2026-05-18T00:11:21Z"},{"alias_kind":"pith_short_12","alias_value":"LJAHIV3LUAPS","created_at":"2026-05-18T12:32:37Z"},{"alias_kind":"pith_short_16","alias_value":"LJAHIV3LUAPSRBGD","created_at":"2026-05-18T12:32:37Z"},{"alias_kind":"pith_short_8","alias_value":"LJAHIV3L","created_at":"2026-05-18T12:32:37Z"}],"graph_snapshots":[{"event_id":"sha256:c0c45502a2d22d5b27bbe4780a7bd48beaf8d8f495d0eb9860b6f04b658e324d","target":"graph","created_at":"2026-05-18T00:11:21Z","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"},"paper":{"abstract_excerpt":"In this paper, we introduce the \\textbf{C}hinese \\textbf{AI} and \\textbf{L}aw challenge dataset (CAIL2018), the first large-scale Chinese legal dataset for judgment prediction. \\dataset contains more than $2.6$ million criminal cases published by the Supreme People's Court of China, which are several times larger than other datasets in existing works on judgment prediction. Moreover, the annotations of judgment results are more detailed and rich. It consists of applicable law articles, charges, and prison terms, which are expected to be inferred according to the fact descriptions of cases. For","authors_text":"Chaojun Xiao, Cunchao Tu, Haoxi Zhong, Heng Wang, Jianfeng Xu, Maosong Sun, Xianpei Han, Yansong Feng, Zhen Hu, Zhipeng Guo, Zhiyuan Liu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-07-04T02:09:06Z","title":"CAIL2018: A Large-Scale Legal Dataset for Judgment Prediction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.02478","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":"sha256:81794ed10ed537de292321432d98605b54f92b001cd04e5b7f1dcd02d91b5d74","target":"record","created_at":"2026-05-18T00:11:21Z","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":"b3df428e234c278fcea81e4f707be093e4b1ada212cf2b2185d6d653fcfb102a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-07-04T02:09:06Z","title_canon_sha256":"d973711c390de0d80cdbeea109fa2aecf5ee3c358301e8c225e4af5bbee84c8b"},"schema_version":"1.0","source":{"id":"1807.02478","kind":"arxiv","version":1}},"canonical_sha256":"5a4074576ba01f2884c31ba50d71bea53ee12812648c8f8001890b44ce60d966","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5a4074576ba01f2884c31ba50d71bea53ee12812648c8f8001890b44ce60d966","first_computed_at":"2026-05-18T00:11:21.882575Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:11:21.882575Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rqz7GJckd6t2a3fUnAOvDueja5X9FpUKDbYKwNKSxt328+B5UFbgmnthvrKN9ztGIeY/6jFHTUXcH6azCLbBAQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:11:21.883210Z","signed_message":"canonical_sha256_bytes"},"source_id":"1807.02478","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:81794ed10ed537de292321432d98605b54f92b001cd04e5b7f1dcd02d91b5d74","sha256:c0c45502a2d22d5b27bbe4780a7bd48beaf8d8f495d0eb9860b6f04b658e324d"],"state_sha256":"b5114d98bf2fe5c65a59c871a9296a5d4b1a6084aeeadfa67e9093a8123101b8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bhX2NCQoVJfBiUOeDTIMBWqNBLgkxEroxdUjVUkcdcdGT0JXeiz27YjKYm43pTDyrMr3ZpIAjIdMd9ITTiprBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-20T12:05:26.686662Z","bundle_sha256":"2407294b101b4f98a60adb14ff9a895a47948abed5e5c8a78203526f7111d27f"}}