{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2006:LLT6X3XVHZCHVV5KJH72JOC37D","short_pith_number":"pith:LLT6X3XV","canonical_record":{"source":{"id":"cs/0609019","kind":"arxiv","version":1},"metadata":{"license":"","primary_cat":"cs.CL","submitted_at":"2006-09-06T11:41:27Z","cross_cats_sorted":[],"title_canon_sha256":"9f805bf693db950fb6c1a223c00baf5295c0342379e4d017b617d870202d5d99","abstract_canon_sha256":"9c130c23856b487c925611ea84dccff54e7a3fdbba300a49690b222d3deefc67"},"schema_version":"1.0"},"canonical_sha256":"5ae7ebeef53e447ad7aa49ffa4b85bf8e0b696138d6fa6c2e2e6d0c8e1547651","source":{"kind":"arxiv","id":"cs/0609019","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"cs/0609019","created_at":"2026-07-04T14:56:26Z"},{"alias_kind":"arxiv_version","alias_value":"cs/0609019v1","created_at":"2026-07-04T14:56:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.cs/0609019","created_at":"2026-07-04T14:56:26Z"},{"alias_kind":"pith_short_12","alias_value":"LLT6X3XVHZCH","created_at":"2026-07-04T14:56:26Z"},{"alias_kind":"pith_short_16","alias_value":"LLT6X3XVHZCHVV5K","created_at":"2026-07-04T14:56:26Z"},{"alias_kind":"pith_short_8","alias_value":"LLT6X3XV","created_at":"2026-07-04T14:56:26Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2006:LLT6X3XVHZCHVV5KJH72JOC37D","target":"record","payload":{"canonical_record":{"source":{"id":"cs/0609019","kind":"arxiv","version":1},"metadata":{"license":"","primary_cat":"cs.CL","submitted_at":"2006-09-06T11:41:27Z","cross_cats_sorted":[],"title_canon_sha256":"9f805bf693db950fb6c1a223c00baf5295c0342379e4d017b617d870202d5d99","abstract_canon_sha256":"9c130c23856b487c925611ea84dccff54e7a3fdbba300a49690b222d3deefc67"},"schema_version":"1.0"},"canonical_sha256":"5ae7ebeef53e447ad7aa49ffa4b85bf8e0b696138d6fa6c2e2e6d0c8e1547651","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-04T14:56:26.362453Z","signature_b64":"HcAFbF+FAzuuFXyZH5Wucjey+3g0PhSmLD7TzZZxMyJU55FUoTtZ/WCWH7Ql6L6HQHtu/rXmU7z6szSDq7UxBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5ae7ebeef53e447ad7aa49ffa4b85bf8e0b696138d6fa6c2e2e6d0c8e1547651","last_reissued_at":"2026-07-04T14:56:26.361986Z","signature_status":"signed_v1","first_computed_at":"2026-07-04T14:56:26.361986Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"cs/0609019","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":"2026-07-04T14:56:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yKA7lPwdzTaMXVu0BnN36AM8k+ghkbwa5S2VDAxJGQ68FHzWqAa/D79Bf1qJ2Rqb/G0FLdhIoNz6ATaqwl9pBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T11:18:12.472857Z"},"content_sha256":"686f78aa7e6acec594b2d2846e7bd1dee21c941d51ea41e3e511ea9dd087aa6e","schema_version":"1.0","event_id":"sha256:686f78aa7e6acec594b2d2846e7bd1dee21c941d51ea41e3e511ea9dd087aa6e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2006:LLT6X3XVHZCHVV5KJH72JOC37D","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Improving Term Extraction with Terminological Resources","license":"","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Sophie Aubin (LIPN), Thierry Hamon (LIPN)","submitted_at":"2006-09-06T11:41:27Z","abstract_excerpt":"Studies of different term extractors on a corpus of the biomedical domain revealed decreasing performances when applied to highly technical texts. The difficulty or impossibility of customising them to new domains is an additional limitation. In this paper, we propose to use external terminologies to influence generic linguistic data in order to augment the quality of the extraction. The tool we implemented exploits testified terms at different steps of the process: chunking, parsing and extraction of term candidates. Experiments reported here show that, using this method, more term candidates"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"cs/0609019","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/cs/0609019/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":"2026-07-04T14:56:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"a5vp6phRxvPwEXDJDSXAI7aBr1/ee86gSjCebZ2tlWfR2g/gQwpWfsmrih1ssOnn4/MqHH2cHftx/g2+gR3lDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T11:18:12.473233Z"},"content_sha256":"e98a32fa003b8d25590b6dcbd02c37f8fcc81ff89e43b4eca28b8e580b5cd9bc","schema_version":"1.0","event_id":"sha256:e98a32fa003b8d25590b6dcbd02c37f8fcc81ff89e43b4eca28b8e580b5cd9bc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LLT6X3XVHZCHVV5KJH72JOC37D/bundle.json","state_url":"https://pith.science/pith/LLT6X3XVHZCHVV5KJH72JOC37D/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LLT6X3XVHZCHVV5KJH72JOC37D/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":"2026-07-07T11:18:12Z","links":{"resolver":"https://pith.science/pith/LLT6X3XVHZCHVV5KJH72JOC37D","bundle":"https://pith.science/pith/LLT6X3XVHZCHVV5KJH72JOC37D/bundle.json","state":"https://pith.science/pith/LLT6X3XVHZCHVV5KJH72JOC37D/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LLT6X3XVHZCHVV5KJH72JOC37D/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2006:LLT6X3XVHZCHVV5KJH72JOC37D","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":"9c130c23856b487c925611ea84dccff54e7a3fdbba300a49690b222d3deefc67","cross_cats_sorted":[],"license":"","primary_cat":"cs.CL","submitted_at":"2006-09-06T11:41:27Z","title_canon_sha256":"9f805bf693db950fb6c1a223c00baf5295c0342379e4d017b617d870202d5d99"},"schema_version":"1.0","source":{"id":"cs/0609019","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"cs/0609019","created_at":"2026-07-04T14:56:26Z"},{"alias_kind":"arxiv_version","alias_value":"cs/0609019v1","created_at":"2026-07-04T14:56:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.cs/0609019","created_at":"2026-07-04T14:56:26Z"},{"alias_kind":"pith_short_12","alias_value":"LLT6X3XVHZCH","created_at":"2026-07-04T14:56:26Z"},{"alias_kind":"pith_short_16","alias_value":"LLT6X3XVHZCHVV5K","created_at":"2026-07-04T14:56:26Z"},{"alias_kind":"pith_short_8","alias_value":"LLT6X3XV","created_at":"2026-07-04T14:56:26Z"}],"graph_snapshots":[{"event_id":"sha256:e98a32fa003b8d25590b6dcbd02c37f8fcc81ff89e43b4eca28b8e580b5cd9bc","target":"graph","created_at":"2026-07-04T14:56:26Z","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/cs/0609019/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Studies of different term extractors on a corpus of the biomedical domain revealed decreasing performances when applied to highly technical texts. The difficulty or impossibility of customising them to new domains is an additional limitation. In this paper, we propose to use external terminologies to influence generic linguistic data in order to augment the quality of the extraction. The tool we implemented exploits testified terms at different steps of the process: chunking, parsing and extraction of term candidates. Experiments reported here show that, using this method, more term candidates","authors_text":"Sophie Aubin (LIPN), Thierry Hamon (LIPN)","cross_cats":[],"headline":"","license":"","primary_cat":"cs.CL","submitted_at":"2006-09-06T11:41:27Z","title":"Improving Term Extraction with Terminological Resources"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"cs/0609019","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":"sha256:686f78aa7e6acec594b2d2846e7bd1dee21c941d51ea41e3e511ea9dd087aa6e","target":"record","created_at":"2026-07-04T14:56:26Z","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":"9c130c23856b487c925611ea84dccff54e7a3fdbba300a49690b222d3deefc67","cross_cats_sorted":[],"license":"","primary_cat":"cs.CL","submitted_at":"2006-09-06T11:41:27Z","title_canon_sha256":"9f805bf693db950fb6c1a223c00baf5295c0342379e4d017b617d870202d5d99"},"schema_version":"1.0","source":{"id":"cs/0609019","kind":"arxiv","version":1}},"canonical_sha256":"5ae7ebeef53e447ad7aa49ffa4b85bf8e0b696138d6fa6c2e2e6d0c8e1547651","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5ae7ebeef53e447ad7aa49ffa4b85bf8e0b696138d6fa6c2e2e6d0c8e1547651","first_computed_at":"2026-07-04T14:56:26.361986Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-04T14:56:26.361986Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HcAFbF+FAzuuFXyZH5Wucjey+3g0PhSmLD7TzZZxMyJU55FUoTtZ/WCWH7Ql6L6HQHtu/rXmU7z6szSDq7UxBg==","signature_status":"signed_v1","signed_at":"2026-07-04T14:56:26.362453Z","signed_message":"canonical_sha256_bytes"},"source_id":"cs/0609019","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:686f78aa7e6acec594b2d2846e7bd1dee21c941d51ea41e3e511ea9dd087aa6e","sha256:e98a32fa003b8d25590b6dcbd02c37f8fcc81ff89e43b4eca28b8e580b5cd9bc"],"state_sha256":"785785b1d19b2184f49481169ed4c11f15eabfcb5f46fb8b69635ccf2f411a58"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"o3DUAOi8Qa+ndj54mjndoIB3/8PWUsBySMdIz3WZ8jZFRkLuvADJ6ycKGBBjUcs2t/mknV4gro+dnI5jo8shDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T11:18:12.475470Z","bundle_sha256":"2cb2dccf2e12192e23f3b7176752543021a992ca8504a0d03198f13b4a71c92d"}}