{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:PZQNBAV353BJORIFMOUGJPBGAR","short_pith_number":"pith:PZQNBAV3","canonical_record":{"source":{"id":"2112.11494","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-12-21T19:27:21Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"88901f84f426d4405e890cb2b3a3c35d412758900e5ddf74171c1858a51312c8","abstract_canon_sha256":"5508e84c456cf1157670fc9bf7a1ab35973d28b93b6437c9b1eeda9d0420f8f9"},"schema_version":"1.0"},"canonical_sha256":"7e60d082bbeec297450563a864bc26047f3d1aa89affc080c741a56e13f100fd","source":{"kind":"arxiv","id":"2112.11494","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2112.11494","created_at":"2026-07-05T03:43:07Z"},{"alias_kind":"arxiv_version","alias_value":"2112.11494v1","created_at":"2026-07-05T03:43:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2112.11494","created_at":"2026-07-05T03:43:07Z"},{"alias_kind":"pith_short_12","alias_value":"PZQNBAV353BJ","created_at":"2026-07-05T03:43:07Z"},{"alias_kind":"pith_short_16","alias_value":"PZQNBAV353BJORIF","created_at":"2026-07-05T03:43:07Z"},{"alias_kind":"pith_short_8","alias_value":"PZQNBAV3","created_at":"2026-07-05T03:43:07Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:PZQNBAV353BJORIFMOUGJPBGAR","target":"record","payload":{"canonical_record":{"source":{"id":"2112.11494","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-12-21T19:27:21Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"88901f84f426d4405e890cb2b3a3c35d412758900e5ddf74171c1858a51312c8","abstract_canon_sha256":"5508e84c456cf1157670fc9bf7a1ab35973d28b93b6437c9b1eeda9d0420f8f9"},"schema_version":"1.0"},"canonical_sha256":"7e60d082bbeec297450563a864bc26047f3d1aa89affc080c741a56e13f100fd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:43:07.658800Z","signature_b64":"FoJQiZI6vGp703AKdMf/pP1jRFmDIl3Xyvk4gana6Q76d/q9SHDt0S2YZSNvtZTMHpHNnNKstf1dFPJqIQA5Cg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7e60d082bbeec297450563a864bc26047f3d1aa89affc080c741a56e13f100fd","last_reissued_at":"2026-07-05T03:43:07.658294Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:43:07.658294Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2112.11494","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":"2026-07-05T03:43:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"50Q2W4EZYnnHnZ5xWa2yaQzRP9lqUNd+OF0Rq+UuQ2htnIe0ZTd1Du2Di2ZbHeZmgMCpy26wgjnpkgEsTJulBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-26T03:11:51.724459Z"},"content_sha256":"b86a585d6dd30600729b08e71372ed12c6b3fa007be83b51cf4ef3de72ec44fb","schema_version":"1.0","event_id":"sha256:b86a585d6dd30600729b08e71372ed12c6b3fa007be83b51cf4ef3de72ec44fb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:PZQNBAV353BJORIFMOUGJPBGAR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Sentence Embeddings and High-speed Similarity Search for Fast Computer Assisted Annotation of Legal Documents","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CL","authors_text":"Hannes Westermann, Jaromir Savelka, Karim Benyekhlef, Kevin D. Ashley, Vern R. Walker","submitted_at":"2021-12-21T19:27:21Z","abstract_excerpt":"Human-performed annotation of sentences in legal documents is an important prerequisite to many machine learning based systems supporting legal tasks. Typically, the annotation is done sequentially, sentence by sentence, which is often time consuming and, hence, expensive. In this paper, we introduce a proof-of-concept system for annotating sentences \"laterally.\" The approach is based on the observation that sentences that are similar in meaning often have the same label in terms of a particular type system. We use this observation in allowing annotators to quickly view and annotate sentences "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2112.11494","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/2112.11494/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":"2026-07-05T03:43:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7WS2qAynTVetwY9iXjozpVksrRkXWrrwjW7zq3HnowxDFTPsFZ5JuHNHnCNUqBvvCFDZsuuU/lzLpCqCVBEhBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-26T03:11:51.724836Z"},"content_sha256":"69869fdf8796f5816a51e6f3b364c6b47340c173aef48d0e9cfc70c1102b397b","schema_version":"1.0","event_id":"sha256:69869fdf8796f5816a51e6f3b364c6b47340c173aef48d0e9cfc70c1102b397b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PZQNBAV353BJORIFMOUGJPBGAR/bundle.json","state_url":"https://pith.science/pith/PZQNBAV353BJORIFMOUGJPBGAR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PZQNBAV353BJORIFMOUGJPBGAR/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":"2026-07-26T03:11:51Z","links":{"resolver":"https://pith.science/pith/PZQNBAV353BJORIFMOUGJPBGAR","bundle":"https://pith.science/pith/PZQNBAV353BJORIFMOUGJPBGAR/bundle.json","state":"https://pith.science/pith/PZQNBAV353BJORIFMOUGJPBGAR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PZQNBAV353BJORIFMOUGJPBGAR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:PZQNBAV353BJORIFMOUGJPBGAR","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":"5508e84c456cf1157670fc9bf7a1ab35973d28b93b6437c9b1eeda9d0420f8f9","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-12-21T19:27:21Z","title_canon_sha256":"88901f84f426d4405e890cb2b3a3c35d412758900e5ddf74171c1858a51312c8"},"schema_version":"1.0","source":{"id":"2112.11494","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2112.11494","created_at":"2026-07-05T03:43:07Z"},{"alias_kind":"arxiv_version","alias_value":"2112.11494v1","created_at":"2026-07-05T03:43:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2112.11494","created_at":"2026-07-05T03:43:07Z"},{"alias_kind":"pith_short_12","alias_value":"PZQNBAV353BJ","created_at":"2026-07-05T03:43:07Z"},{"alias_kind":"pith_short_16","alias_value":"PZQNBAV353BJORIF","created_at":"2026-07-05T03:43:07Z"},{"alias_kind":"pith_short_8","alias_value":"PZQNBAV3","created_at":"2026-07-05T03:43:07Z"}],"graph_snapshots":[{"event_id":"sha256:69869fdf8796f5816a51e6f3b364c6b47340c173aef48d0e9cfc70c1102b397b","target":"graph","created_at":"2026-07-05T03:43:07Z","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/2112.11494/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Human-performed annotation of sentences in legal documents is an important prerequisite to many machine learning based systems supporting legal tasks. Typically, the annotation is done sequentially, sentence by sentence, which is often time consuming and, hence, expensive. In this paper, we introduce a proof-of-concept system for annotating sentences \"laterally.\" The approach is based on the observation that sentences that are similar in meaning often have the same label in terms of a particular type system. We use this observation in allowing annotators to quickly view and annotate sentences ","authors_text":"Hannes Westermann, Jaromir Savelka, Karim Benyekhlef, Kevin D. Ashley, Vern R. Walker","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-12-21T19:27:21Z","title":"Sentence Embeddings and High-speed Similarity Search for Fast Computer Assisted Annotation of Legal Documents"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2112.11494","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:b86a585d6dd30600729b08e71372ed12c6b3fa007be83b51cf4ef3de72ec44fb","target":"record","created_at":"2026-07-05T03:43:07Z","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":"5508e84c456cf1157670fc9bf7a1ab35973d28b93b6437c9b1eeda9d0420f8f9","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-12-21T19:27:21Z","title_canon_sha256":"88901f84f426d4405e890cb2b3a3c35d412758900e5ddf74171c1858a51312c8"},"schema_version":"1.0","source":{"id":"2112.11494","kind":"arxiv","version":1}},"canonical_sha256":"7e60d082bbeec297450563a864bc26047f3d1aa89affc080c741a56e13f100fd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7e60d082bbeec297450563a864bc26047f3d1aa89affc080c741a56e13f100fd","first_computed_at":"2026-07-05T03:43:07.658294Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:43:07.658294Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FoJQiZI6vGp703AKdMf/pP1jRFmDIl3Xyvk4gana6Q76d/q9SHDt0S2YZSNvtZTMHpHNnNKstf1dFPJqIQA5Cg==","signature_status":"signed_v1","signed_at":"2026-07-05T03:43:07.658800Z","signed_message":"canonical_sha256_bytes"},"source_id":"2112.11494","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b86a585d6dd30600729b08e71372ed12c6b3fa007be83b51cf4ef3de72ec44fb","sha256:69869fdf8796f5816a51e6f3b364c6b47340c173aef48d0e9cfc70c1102b397b"],"state_sha256":"68139934117efa837e2b249f27cee316ca326330e042a1060bd53a87dd6fb6e0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"v/H0alVBFT6ChmlL6FxDQd1cbbb5AipuetZzVkOaaM1SPoKWJqfsg+777YBVr3wIWl92Paeih0bdP9M9CVhwCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-26T03:11:51.726950Z","bundle_sha256":"24c039c91701c3132de025177421bec7ac8d3d7035b86ac0d7714d8be1a99947"}}