{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:P7YJLMZ4DREYDODHLRKFQJHUPA","short_pith_number":"pith:P7YJLMZ4","canonical_record":{"source":{"id":"1906.11384","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2019-06-26T23:34:22Z","cross_cats_sorted":[],"title_canon_sha256":"20adcc3d2e47133ae4b5847f90f3c7692106d6080ca1ac08a581e4b0056a7b4e","abstract_canon_sha256":"5fa13bf5855b64b09cd7b8425c3c95c03ee611b8e782e4fcf24e7f3b95d99eba"},"schema_version":"1.0"},"canonical_sha256":"7ff095b33c1c4981b8675c545824f4781b6c9905a26d999205fa7264af32c744","source":{"kind":"arxiv","id":"1906.11384","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.11384","created_at":"2026-05-17T23:42:07Z"},{"alias_kind":"arxiv_version","alias_value":"1906.11384v1","created_at":"2026-05-17T23:42:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.11384","created_at":"2026-05-17T23:42:07Z"},{"alias_kind":"pith_short_12","alias_value":"P7YJLMZ4DREY","created_at":"2026-05-18T12:33:24Z"},{"alias_kind":"pith_short_16","alias_value":"P7YJLMZ4DREYDODH","created_at":"2026-05-18T12:33:24Z"},{"alias_kind":"pith_short_8","alias_value":"P7YJLMZ4","created_at":"2026-05-18T12:33:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:P7YJLMZ4DREYDODHLRKFQJHUPA","target":"record","payload":{"canonical_record":{"source":{"id":"1906.11384","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2019-06-26T23:34:22Z","cross_cats_sorted":[],"title_canon_sha256":"20adcc3d2e47133ae4b5847f90f3c7692106d6080ca1ac08a581e4b0056a7b4e","abstract_canon_sha256":"5fa13bf5855b64b09cd7b8425c3c95c03ee611b8e782e4fcf24e7f3b95d99eba"},"schema_version":"1.0"},"canonical_sha256":"7ff095b33c1c4981b8675c545824f4781b6c9905a26d999205fa7264af32c744","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:42:07.268601Z","signature_b64":"1ejg85tSiroCKdeCOHxw0fe1pt9ZoeecV8ZKDiKnpPcG51KO01SGT2FtKZhXfF+gZZybVKHMxtVVkhPnmCq4Dw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7ff095b33c1c4981b8675c545824f4781b6c9905a26d999205fa7264af32c744","last_reissued_at":"2026-05-17T23:42:07.267964Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:42:07.267964Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1906.11384","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":"2026-05-17T23:42:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+wlZEldv6Q/5dKPOmRZ3yxBc4sdPvfdQ4DxAxfe+R6pNoc1Jk1fcSBwTCtW2X1mSR7wmfenT2fd0hAoFb9ndBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T13:17:00.498042Z"},"content_sha256":"40084fffd2afeca77d9b74d39ceace012790a21e38906dd9664708be9486121e","schema_version":"1.0","event_id":"sha256:40084fffd2afeca77d9b74d39ceace012790a21e38906dd9664708be9486121e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:P7YJLMZ4DREYDODHLRKFQJHUPA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Eliciting Knowledge from Experts:Automatic Transcript Parsing for Cognitive Task Analysis","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"He Jiang, Jiaming Shen, Junyi Du, Xiang Ren","submitted_at":"2019-06-26T23:34:22Z","abstract_excerpt":"Cognitive task analysis (CTA) is a type of analysis in applied psychology aimed at eliciting and representing the knowledge and thought processes of domain experts. In CTA, often heavy human labor is involved to parse the interview transcript into structured knowledge (e.g., flowchart for different actions). To reduce human efforts and scale the process, automated CTA transcript parsing is desirable. However, this task has unique challenges as (1) it requires the understanding of long-range context information in conversational text; and (2) the amount of labeled data is limited and indirect--"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.11384","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":"2026-05-17T23:42:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zw7nCP210ab2Iq9YTkCXONOEM8I1uaqgU/pllwW/o1xx+8KNGBeRj1qb0RxKH10ZDZxywARmkyhdiSjhkyiDAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T13:17:00.498752Z"},"content_sha256":"6e53d5b58ed5f3940d1b913727d711f383f136133887dcc792b593bf56f88761","schema_version":"1.0","event_id":"sha256:6e53d5b58ed5f3940d1b913727d711f383f136133887dcc792b593bf56f88761"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/P7YJLMZ4DREYDODHLRKFQJHUPA/bundle.json","state_url":"https://pith.science/pith/P7YJLMZ4DREYDODHLRKFQJHUPA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/P7YJLMZ4DREYDODHLRKFQJHUPA/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":"2026-05-27T13:17:00Z","links":{"resolver":"https://pith.science/pith/P7YJLMZ4DREYDODHLRKFQJHUPA","bundle":"https://pith.science/pith/P7YJLMZ4DREYDODHLRKFQJHUPA/bundle.json","state":"https://pith.science/pith/P7YJLMZ4DREYDODHLRKFQJHUPA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/P7YJLMZ4DREYDODHLRKFQJHUPA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:P7YJLMZ4DREYDODHLRKFQJHUPA","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":"5fa13bf5855b64b09cd7b8425c3c95c03ee611b8e782e4fcf24e7f3b95d99eba","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2019-06-26T23:34:22Z","title_canon_sha256":"20adcc3d2e47133ae4b5847f90f3c7692106d6080ca1ac08a581e4b0056a7b4e"},"schema_version":"1.0","source":{"id":"1906.11384","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.11384","created_at":"2026-05-17T23:42:07Z"},{"alias_kind":"arxiv_version","alias_value":"1906.11384v1","created_at":"2026-05-17T23:42:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.11384","created_at":"2026-05-17T23:42:07Z"},{"alias_kind":"pith_short_12","alias_value":"P7YJLMZ4DREY","created_at":"2026-05-18T12:33:24Z"},{"alias_kind":"pith_short_16","alias_value":"P7YJLMZ4DREYDODH","created_at":"2026-05-18T12:33:24Z"},{"alias_kind":"pith_short_8","alias_value":"P7YJLMZ4","created_at":"2026-05-18T12:33:24Z"}],"graph_snapshots":[{"event_id":"sha256:6e53d5b58ed5f3940d1b913727d711f383f136133887dcc792b593bf56f88761","target":"graph","created_at":"2026-05-17T23:42:07Z","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"},"paper":{"abstract_excerpt":"Cognitive task analysis (CTA) is a type of analysis in applied psychology aimed at eliciting and representing the knowledge and thought processes of domain experts. In CTA, often heavy human labor is involved to parse the interview transcript into structured knowledge (e.g., flowchart for different actions). To reduce human efforts and scale the process, automated CTA transcript parsing is desirable. However, this task has unique challenges as (1) it requires the understanding of long-range context information in conversational text; and (2) the amount of labeled data is limited and indirect--","authors_text":"He Jiang, Jiaming Shen, Junyi Du, Xiang Ren","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2019-06-26T23:34:22Z","title":"Eliciting Knowledge from Experts:Automatic Transcript Parsing for Cognitive Task Analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.11384","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":"sha256:40084fffd2afeca77d9b74d39ceace012790a21e38906dd9664708be9486121e","target":"record","created_at":"2026-05-17T23:42:07Z","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":"5fa13bf5855b64b09cd7b8425c3c95c03ee611b8e782e4fcf24e7f3b95d99eba","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2019-06-26T23:34:22Z","title_canon_sha256":"20adcc3d2e47133ae4b5847f90f3c7692106d6080ca1ac08a581e4b0056a7b4e"},"schema_version":"1.0","source":{"id":"1906.11384","kind":"arxiv","version":1}},"canonical_sha256":"7ff095b33c1c4981b8675c545824f4781b6c9905a26d999205fa7264af32c744","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7ff095b33c1c4981b8675c545824f4781b6c9905a26d999205fa7264af32c744","first_computed_at":"2026-05-17T23:42:07.267964Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:42:07.267964Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1ejg85tSiroCKdeCOHxw0fe1pt9ZoeecV8ZKDiKnpPcG51KO01SGT2FtKZhXfF+gZZybVKHMxtVVkhPnmCq4Dw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:42:07.268601Z","signed_message":"canonical_sha256_bytes"},"source_id":"1906.11384","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:40084fffd2afeca77d9b74d39ceace012790a21e38906dd9664708be9486121e","sha256:6e53d5b58ed5f3940d1b913727d711f383f136133887dcc792b593bf56f88761"],"state_sha256":"066cdb01d1f68344f332aa4324e3a6a01f179173f0cc223601152da12ba2e53e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gWLX4mLB7XIWRFoO5OksdU5YJwRYjVFZo7XeBqjrk+XMzA7dRjLDntPXFsx5g9ETpAXsw1++J7kGbNfOETEzBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T13:17:00.502027Z","bundle_sha256":"6285fba51b85021d6814845f773128823faa4de3b54dae7a310e303a3fd052e9"}}