{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:ZCMQEUUPF7RTKNJBTEQCAMOJWA","short_pith_number":"pith:ZCMQEUUP","canonical_record":{"source":{"id":"1806.02814","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-06-07T17:49:54Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"ed58a983c719f02273ba64cc935e4562b3ea730e1cfc306751f4896433862dec","abstract_canon_sha256":"de35f71a1eb9c9f98eecd01355af32f53279279d5a46a7676530af8c318ecf94"},"schema_version":"1.0"},"canonical_sha256":"c89902528f2fe335352199202031c9b0028184ce5037a3b939fe846f0922b5f5","source":{"kind":"arxiv","id":"1806.02814","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1806.02814","created_at":"2026-05-18T00:13:55Z"},{"alias_kind":"arxiv_version","alias_value":"1806.02814v1","created_at":"2026-05-18T00:13:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.02814","created_at":"2026-05-18T00:13:55Z"},{"alias_kind":"pith_short_12","alias_value":"ZCMQEUUPF7RT","created_at":"2026-05-18T12:33:04Z"},{"alias_kind":"pith_short_16","alias_value":"ZCMQEUUPF7RTKNJB","created_at":"2026-05-18T12:33:04Z"},{"alias_kind":"pith_short_8","alias_value":"ZCMQEUUP","created_at":"2026-05-18T12:33:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:ZCMQEUUPF7RTKNJBTEQCAMOJWA","target":"record","payload":{"canonical_record":{"source":{"id":"1806.02814","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-06-07T17:49:54Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"ed58a983c719f02273ba64cc935e4562b3ea730e1cfc306751f4896433862dec","abstract_canon_sha256":"de35f71a1eb9c9f98eecd01355af32f53279279d5a46a7676530af8c318ecf94"},"schema_version":"1.0"},"canonical_sha256":"c89902528f2fe335352199202031c9b0028184ce5037a3b939fe846f0922b5f5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:13:55.554389Z","signature_b64":"x4M0ZVQYoEeZay3u1Hp5Gub1rQE9Jy2w7fL22AQc2Wp5MhMgytqXrvuP7tdzqlcapsPXqCn5vTEamFlIE4pFCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c89902528f2fe335352199202031c9b0028184ce5037a3b939fe846f0922b5f5","last_reissued_at":"2026-05-18T00:13:55.553529Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:13:55.553529Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1806.02814","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":"2026-05-18T00:13:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UoutjPOhybq7uE1V5lLmpYKkQskF+0LhkdIVFYBCtD7K1YPFDNqdhRNI/TzRp0BOdk5nSk94qHXf1wrBUKj5AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T10:55:54.276774Z"},"content_sha256":"e0bef9a172540d94b8947ee3f6bdd17e4685694340d3e0e1d672ffaa1923c203","schema_version":"1.0","event_id":"sha256:e0bef9a172540d94b8947ee3f6bdd17e4685694340d3e0e1d672ffaa1923c203"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:ZCMQEUUPF7RTKNJBTEQCAMOJWA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Embedding Transfer for Low-Resource Medical Named Entity Recognition: A Case Study on Patient Mobility","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Ayah Zirikly, Denis Newman-Griffis","submitted_at":"2018-06-07T17:49:54Z","abstract_excerpt":"Functioning is gaining recognition as an important indicator of global health, but remains under-studied in medical natural language processing research. We present the first analysis of automatically extracting descriptions of patient mobility, using a recently-developed dataset of free text electronic health records. We frame the task as a named entity recognition (NER) problem, and investigate the applicability of NER techniques to mobility extraction. As text corpora focused on patient functioning are scarce, we explore domain adaptation of word embeddings for use in a recurrent neural net"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.02814","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":"2026-05-18T00:13:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3raMM9wyss5e1snsH7DRXvWuwZANIq4ETvarAboUXgD5oURN//2toEJZFjuRHn/LUJ+C/kxP5MOpGCzsvvKXCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T10:55:54.277151Z"},"content_sha256":"fa15035ce4b6107eba521070b93f979efb06e4b8948823da4ff13d138af81e9c","schema_version":"1.0","event_id":"sha256:fa15035ce4b6107eba521070b93f979efb06e4b8948823da4ff13d138af81e9c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZCMQEUUPF7RTKNJBTEQCAMOJWA/bundle.json","state_url":"https://pith.science/pith/ZCMQEUUPF7RTKNJBTEQCAMOJWA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZCMQEUUPF7RTKNJBTEQCAMOJWA/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":"2026-05-27T10:55:54Z","links":{"resolver":"https://pith.science/pith/ZCMQEUUPF7RTKNJBTEQCAMOJWA","bundle":"https://pith.science/pith/ZCMQEUUPF7RTKNJBTEQCAMOJWA/bundle.json","state":"https://pith.science/pith/ZCMQEUUPF7RTKNJBTEQCAMOJWA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZCMQEUUPF7RTKNJBTEQCAMOJWA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:ZCMQEUUPF7RTKNJBTEQCAMOJWA","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":"de35f71a1eb9c9f98eecd01355af32f53279279d5a46a7676530af8c318ecf94","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-06-07T17:49:54Z","title_canon_sha256":"ed58a983c719f02273ba64cc935e4562b3ea730e1cfc306751f4896433862dec"},"schema_version":"1.0","source":{"id":"1806.02814","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1806.02814","created_at":"2026-05-18T00:13:55Z"},{"alias_kind":"arxiv_version","alias_value":"1806.02814v1","created_at":"2026-05-18T00:13:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.02814","created_at":"2026-05-18T00:13:55Z"},{"alias_kind":"pith_short_12","alias_value":"ZCMQEUUPF7RT","created_at":"2026-05-18T12:33:04Z"},{"alias_kind":"pith_short_16","alias_value":"ZCMQEUUPF7RTKNJB","created_at":"2026-05-18T12:33:04Z"},{"alias_kind":"pith_short_8","alias_value":"ZCMQEUUP","created_at":"2026-05-18T12:33:04Z"}],"graph_snapshots":[{"event_id":"sha256:fa15035ce4b6107eba521070b93f979efb06e4b8948823da4ff13d138af81e9c","target":"graph","created_at":"2026-05-18T00:13:55Z","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":"Functioning is gaining recognition as an important indicator of global health, but remains under-studied in medical natural language processing research. We present the first analysis of automatically extracting descriptions of patient mobility, using a recently-developed dataset of free text electronic health records. We frame the task as a named entity recognition (NER) problem, and investigate the applicability of NER techniques to mobility extraction. As text corpora focused on patient functioning are scarce, we explore domain adaptation of word embeddings for use in a recurrent neural net","authors_text":"Ayah Zirikly, Denis Newman-Griffis","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-06-07T17:49:54Z","title":"Embedding Transfer for Low-Resource Medical Named Entity Recognition: A Case Study on Patient Mobility"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.02814","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:e0bef9a172540d94b8947ee3f6bdd17e4685694340d3e0e1d672ffaa1923c203","target":"record","created_at":"2026-05-18T00:13:55Z","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":"de35f71a1eb9c9f98eecd01355af32f53279279d5a46a7676530af8c318ecf94","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-06-07T17:49:54Z","title_canon_sha256":"ed58a983c719f02273ba64cc935e4562b3ea730e1cfc306751f4896433862dec"},"schema_version":"1.0","source":{"id":"1806.02814","kind":"arxiv","version":1}},"canonical_sha256":"c89902528f2fe335352199202031c9b0028184ce5037a3b939fe846f0922b5f5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c89902528f2fe335352199202031c9b0028184ce5037a3b939fe846f0922b5f5","first_computed_at":"2026-05-18T00:13:55.553529Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:13:55.553529Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"x4M0ZVQYoEeZay3u1Hp5Gub1rQE9Jy2w7fL22AQc2Wp5MhMgytqXrvuP7tdzqlcapsPXqCn5vTEamFlIE4pFCA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:13:55.554389Z","signed_message":"canonical_sha256_bytes"},"source_id":"1806.02814","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e0bef9a172540d94b8947ee3f6bdd17e4685694340d3e0e1d672ffaa1923c203","sha256:fa15035ce4b6107eba521070b93f979efb06e4b8948823da4ff13d138af81e9c"],"state_sha256":"8ababb830e7b1c2df98b55889990ad45f056ca91d3a0f634ae2a3cf123850961"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kDucbhB0RRjo7vKFfxb9cBCR9UdpHOW/uewZnt8MC8MAhWuTmNfZeRM0OLu5DCugQcmU0Htzz36JZ+wHqW8iDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T10:55:54.279758Z","bundle_sha256":"1475c080df7355a0116615d794d651cbf84b65cbc6565f250bb41349b1d66b3f"}}