{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:XX3DXP4R5Z2XGMYRZATCZIHDGE","short_pith_number":"pith:XX3DXP4R","canonical_record":{"source":{"id":"1809.05219","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-09-14T01:48:46Z","cross_cats_sorted":[],"title_canon_sha256":"9f4302fb43b75e7b602d208af060210383ee18a638353dd4058d05254898768e","abstract_canon_sha256":"e24f11e23127f6ac4071cdece7be15acc45b4104f48defdc73b197e75d5ba2f8"},"schema_version":"1.0"},"canonical_sha256":"bdf63bbf91ee75733311c8262ca0e3313a04aba158bb15ab8b5c1b797e01a4f2","source":{"kind":"arxiv","id":"1809.05219","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1809.05219","created_at":"2026-05-18T00:05:44Z"},{"alias_kind":"arxiv_version","alias_value":"1809.05219v1","created_at":"2026-05-18T00:05:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.05219","created_at":"2026-05-18T00:05:44Z"},{"alias_kind":"pith_short_12","alias_value":"XX3DXP4R5Z2X","created_at":"2026-05-18T12:33:04Z"},{"alias_kind":"pith_short_16","alias_value":"XX3DXP4R5Z2XGMYR","created_at":"2026-05-18T12:33:04Z"},{"alias_kind":"pith_short_8","alias_value":"XX3DXP4R","created_at":"2026-05-18T12:33:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:XX3DXP4R5Z2XGMYRZATCZIHDGE","target":"record","payload":{"canonical_record":{"source":{"id":"1809.05219","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-09-14T01:48:46Z","cross_cats_sorted":[],"title_canon_sha256":"9f4302fb43b75e7b602d208af060210383ee18a638353dd4058d05254898768e","abstract_canon_sha256":"e24f11e23127f6ac4071cdece7be15acc45b4104f48defdc73b197e75d5ba2f8"},"schema_version":"1.0"},"canonical_sha256":"bdf63bbf91ee75733311c8262ca0e3313a04aba158bb15ab8b5c1b797e01a4f2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:05:44.369671Z","signature_b64":"c25HUN1eb6VQgryy6ueHlmKfG7524cfG6xftDynSRXe3tK+W0+9lt4rE2Tg7y9qCMxtYyFvg3+h2mPFHeEXuCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bdf63bbf91ee75733311c8262ca0e3313a04aba158bb15ab8b5c1b797e01a4f2","last_reissued_at":"2026-05-18T00:05:44.369156Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:05:44.369156Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1809.05219","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":"2026-05-18T00:05:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cYF+LSPcDzdE7TwEVLqCeT+laud4dmwJ2X4nq4jmFKvwB1WhDB7KFTo918kSTTt8vOhIIBYIL8Bh0HpYC8YTCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T12:41:12.773862Z"},"content_sha256":"0cacce47eb6544b097de5a5e44adbeb695f09d141a8ede939226600b230c83b5","schema_version":"1.0","event_id":"sha256:0cacce47eb6544b097de5a5e44adbeb695f09d141a8ede939226600b230c83b5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:XX3DXP4R5Z2XGMYRZATCZIHDGE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Automatic Catchphrase Extraction from Legal Case Documents via Scoring using Deep Neural Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Ken Satoh, Minh Le Nguyen, Vu Tran","submitted_at":"2018-09-14T01:48:46Z","abstract_excerpt":"In this paper, we present a method of automatic catchphrase extracting from legal case documents. We utilize deep neural networks for constructing scoring model of our extraction system. We achieve comparable performance with systems using corpus-wide and citation information which we do not use in our system."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.05219","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":"2026-05-18T00:05:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OAdZZje82P0or7bwhxM8YT1cDPhacUbGdoaAmflay6pcJtJsbgu/fyuxR/LfTE05nEmtMkySKYs8PgfjOXjFDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T12:41:12.774494Z"},"content_sha256":"f7254483d1fceb0ce2639ede7b5961aaba3d786cd145d7397840e22a3ccc7095","schema_version":"1.0","event_id":"sha256:f7254483d1fceb0ce2639ede7b5961aaba3d786cd145d7397840e22a3ccc7095"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XX3DXP4R5Z2XGMYRZATCZIHDGE/bundle.json","state_url":"https://pith.science/pith/XX3DXP4R5Z2XGMYRZATCZIHDGE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XX3DXP4R5Z2XGMYRZATCZIHDGE/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":"2026-05-27T12:41:12Z","links":{"resolver":"https://pith.science/pith/XX3DXP4R5Z2XGMYRZATCZIHDGE","bundle":"https://pith.science/pith/XX3DXP4R5Z2XGMYRZATCZIHDGE/bundle.json","state":"https://pith.science/pith/XX3DXP4R5Z2XGMYRZATCZIHDGE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XX3DXP4R5Z2XGMYRZATCZIHDGE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:XX3DXP4R5Z2XGMYRZATCZIHDGE","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":"e24f11e23127f6ac4071cdece7be15acc45b4104f48defdc73b197e75d5ba2f8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-09-14T01:48:46Z","title_canon_sha256":"9f4302fb43b75e7b602d208af060210383ee18a638353dd4058d05254898768e"},"schema_version":"1.0","source":{"id":"1809.05219","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1809.05219","created_at":"2026-05-18T00:05:44Z"},{"alias_kind":"arxiv_version","alias_value":"1809.05219v1","created_at":"2026-05-18T00:05:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.05219","created_at":"2026-05-18T00:05:44Z"},{"alias_kind":"pith_short_12","alias_value":"XX3DXP4R5Z2X","created_at":"2026-05-18T12:33:04Z"},{"alias_kind":"pith_short_16","alias_value":"XX3DXP4R5Z2XGMYR","created_at":"2026-05-18T12:33:04Z"},{"alias_kind":"pith_short_8","alias_value":"XX3DXP4R","created_at":"2026-05-18T12:33:04Z"}],"graph_snapshots":[{"event_id":"sha256:f7254483d1fceb0ce2639ede7b5961aaba3d786cd145d7397840e22a3ccc7095","target":"graph","created_at":"2026-05-18T00:05:44Z","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 present a method of automatic catchphrase extracting from legal case documents. We utilize deep neural networks for constructing scoring model of our extraction system. We achieve comparable performance with systems using corpus-wide and citation information which we do not use in our system.","authors_text":"Ken Satoh, Minh Le Nguyen, Vu Tran","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-09-14T01:48:46Z","title":"Automatic Catchphrase Extraction from Legal Case Documents via Scoring using Deep Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.05219","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":"sha256:0cacce47eb6544b097de5a5e44adbeb695f09d141a8ede939226600b230c83b5","target":"record","created_at":"2026-05-18T00:05:44Z","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":"e24f11e23127f6ac4071cdece7be15acc45b4104f48defdc73b197e75d5ba2f8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-09-14T01:48:46Z","title_canon_sha256":"9f4302fb43b75e7b602d208af060210383ee18a638353dd4058d05254898768e"},"schema_version":"1.0","source":{"id":"1809.05219","kind":"arxiv","version":1}},"canonical_sha256":"bdf63bbf91ee75733311c8262ca0e3313a04aba158bb15ab8b5c1b797e01a4f2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bdf63bbf91ee75733311c8262ca0e3313a04aba158bb15ab8b5c1b797e01a4f2","first_computed_at":"2026-05-18T00:05:44.369156Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:05:44.369156Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"c25HUN1eb6VQgryy6ueHlmKfG7524cfG6xftDynSRXe3tK+W0+9lt4rE2Tg7y9qCMxtYyFvg3+h2mPFHeEXuCQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:05:44.369671Z","signed_message":"canonical_sha256_bytes"},"source_id":"1809.05219","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0cacce47eb6544b097de5a5e44adbeb695f09d141a8ede939226600b230c83b5","sha256:f7254483d1fceb0ce2639ede7b5961aaba3d786cd145d7397840e22a3ccc7095"],"state_sha256":"083cccca87a354c640060ecb50b68620efdce30df98126c8490f9a7d2e988a22"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"h8PUvChu9pRg1PY5DjQGbhqUgxRRSgQFBbiwyzdJe745Zt3LZ7aUzetINDcK0DMrPIm6hFYg9uX6kM7nK5hqCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T12:41:12.778051Z","bundle_sha256":"17ab17f40d527458e94dfecac7f1ec422c5f54880935cccb0cfa335c120c9b98"}}