{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:AXYH44QA43N6GAYTL6FI2PEFF7","short_pith_number":"pith:AXYH44QA","canonical_record":{"source":{"id":"1603.04351","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-03-14T17:18:27Z","cross_cats_sorted":[],"title_canon_sha256":"1f7b6d10825d732921c7011e5b32970408a96acc53fb072edab4b488b47eff5f","abstract_canon_sha256":"38031e359d6a0ecd78eb1680b0ac1d2792f80f0014032d92c679a9ea41ebb59d"},"schema_version":"1.0"},"canonical_sha256":"05f07e7200e6dbe303135f8a8d3c852fc1499628f2bb42bc96bf8e9771d582e4","source":{"kind":"arxiv","id":"1603.04351","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1603.04351","created_at":"2026-05-18T01:10:45Z"},{"alias_kind":"arxiv_version","alias_value":"1603.04351v3","created_at":"2026-05-18T01:10:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1603.04351","created_at":"2026-05-18T01:10:45Z"},{"alias_kind":"pith_short_12","alias_value":"AXYH44QA43N6","created_at":"2026-05-18T12:30:07Z"},{"alias_kind":"pith_short_16","alias_value":"AXYH44QA43N6GAYT","created_at":"2026-05-18T12:30:07Z"},{"alias_kind":"pith_short_8","alias_value":"AXYH44QA","created_at":"2026-05-18T12:30:07Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:AXYH44QA43N6GAYTL6FI2PEFF7","target":"record","payload":{"canonical_record":{"source":{"id":"1603.04351","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-03-14T17:18:27Z","cross_cats_sorted":[],"title_canon_sha256":"1f7b6d10825d732921c7011e5b32970408a96acc53fb072edab4b488b47eff5f","abstract_canon_sha256":"38031e359d6a0ecd78eb1680b0ac1d2792f80f0014032d92c679a9ea41ebb59d"},"schema_version":"1.0"},"canonical_sha256":"05f07e7200e6dbe303135f8a8d3c852fc1499628f2bb42bc96bf8e9771d582e4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:10:45.670460Z","signature_b64":"Fa/KNrJhoiR3pFcl1blwvVDWYcLK1R44ryKQVDfkVeQ2raSuZEU4Nc875e0mfNcSulvc8gBFn6Dn9OWqxoBKCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"05f07e7200e6dbe303135f8a8d3c852fc1499628f2bb42bc96bf8e9771d582e4","last_reissued_at":"2026-05-18T01:10:45.670057Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:10:45.670057Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1603.04351","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T01:10:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"N63pCbA/usOcxHA3eO+gRHdmeQPoZl/JyDobsxgfhlw5F2nIJFjzSuqEaaayS3lzihPyX6mlRSnmeV70bnR9Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T01:14:13.000595Z"},"content_sha256":"03f5b61884dd1ac83aaac25bf15edeb92981212fb609649792cdd0b9290ea38e","schema_version":"1.0","event_id":"sha256:03f5b61884dd1ac83aaac25bf15edeb92981212fb609649792cdd0b9290ea38e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:AXYH44QA43N6GAYTL6FI2PEFF7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Eliyahu Kiperwasser, Yoav Goldberg","submitted_at":"2016-03-14T17:18:27Z","abstract_excerpt":"We present a simple and effective scheme for dependency parsing which is based on bidirectional-LSTMs (BiLSTMs). Each sentence token is associated with a BiLSTM vector representing the token in its sentential context, and feature vectors are constructed by concatenating a few BiLSTM vectors. The BiLSTM is trained jointly with the parser objective, resulting in very effective feature extractors for parsing. We demonstrate the effectiveness of the approach by applying it to a greedy transition-based parser as well as to a globally optimized graph-based parser. The resulting parsers have very sim"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1603.04351","kind":"arxiv","version":3},"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":"2026-05-18T01:10:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3JArxIwh8v94lPXQF+kIBXGRgZJ7WPl0ZnM/e5/E7zp6hBhzyI+C9uF4Vnho6XHIccxxhUiXnq4woL0VOpgFDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T01:14:13.000935Z"},"content_sha256":"0e2a5d11b4f3704b4217cff9244027d5aa322677b2e28197f3887b95977a7976","schema_version":"1.0","event_id":"sha256:0e2a5d11b4f3704b4217cff9244027d5aa322677b2e28197f3887b95977a7976"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AXYH44QA43N6GAYTL6FI2PEFF7/bundle.json","state_url":"https://pith.science/pith/AXYH44QA43N6GAYTL6FI2PEFF7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AXYH44QA43N6GAYTL6FI2PEFF7/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":"2026-06-03T01:14:13Z","links":{"resolver":"https://pith.science/pith/AXYH44QA43N6GAYTL6FI2PEFF7","bundle":"https://pith.science/pith/AXYH44QA43N6GAYTL6FI2PEFF7/bundle.json","state":"https://pith.science/pith/AXYH44QA43N6GAYTL6FI2PEFF7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AXYH44QA43N6GAYTL6FI2PEFF7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:AXYH44QA43N6GAYTL6FI2PEFF7","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":"38031e359d6a0ecd78eb1680b0ac1d2792f80f0014032d92c679a9ea41ebb59d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-03-14T17:18:27Z","title_canon_sha256":"1f7b6d10825d732921c7011e5b32970408a96acc53fb072edab4b488b47eff5f"},"schema_version":"1.0","source":{"id":"1603.04351","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1603.04351","created_at":"2026-05-18T01:10:45Z"},{"alias_kind":"arxiv_version","alias_value":"1603.04351v3","created_at":"2026-05-18T01:10:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1603.04351","created_at":"2026-05-18T01:10:45Z"},{"alias_kind":"pith_short_12","alias_value":"AXYH44QA43N6","created_at":"2026-05-18T12:30:07Z"},{"alias_kind":"pith_short_16","alias_value":"AXYH44QA43N6GAYT","created_at":"2026-05-18T12:30:07Z"},{"alias_kind":"pith_short_8","alias_value":"AXYH44QA","created_at":"2026-05-18T12:30:07Z"}],"graph_snapshots":[{"event_id":"sha256:0e2a5d11b4f3704b4217cff9244027d5aa322677b2e28197f3887b95977a7976","target":"graph","created_at":"2026-05-18T01:10:45Z","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":"We present a simple and effective scheme for dependency parsing which is based on bidirectional-LSTMs (BiLSTMs). Each sentence token is associated with a BiLSTM vector representing the token in its sentential context, and feature vectors are constructed by concatenating a few BiLSTM vectors. The BiLSTM is trained jointly with the parser objective, resulting in very effective feature extractors for parsing. We demonstrate the effectiveness of the approach by applying it to a greedy transition-based parser as well as to a globally optimized graph-based parser. The resulting parsers have very sim","authors_text":"Eliyahu Kiperwasser, Yoav Goldberg","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-03-14T17:18:27Z","title":"Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1603.04351","kind":"arxiv","version":3},"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":"sha256:03f5b61884dd1ac83aaac25bf15edeb92981212fb609649792cdd0b9290ea38e","target":"record","created_at":"2026-05-18T01:10:45Z","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":"38031e359d6a0ecd78eb1680b0ac1d2792f80f0014032d92c679a9ea41ebb59d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-03-14T17:18:27Z","title_canon_sha256":"1f7b6d10825d732921c7011e5b32970408a96acc53fb072edab4b488b47eff5f"},"schema_version":"1.0","source":{"id":"1603.04351","kind":"arxiv","version":3}},"canonical_sha256":"05f07e7200e6dbe303135f8a8d3c852fc1499628f2bb42bc96bf8e9771d582e4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"05f07e7200e6dbe303135f8a8d3c852fc1499628f2bb42bc96bf8e9771d582e4","first_computed_at":"2026-05-18T01:10:45.670057Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:10:45.670057Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Fa/KNrJhoiR3pFcl1blwvVDWYcLK1R44ryKQVDfkVeQ2raSuZEU4Nc875e0mfNcSulvc8gBFn6Dn9OWqxoBKCA==","signature_status":"signed_v1","signed_at":"2026-05-18T01:10:45.670460Z","signed_message":"canonical_sha256_bytes"},"source_id":"1603.04351","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:03f5b61884dd1ac83aaac25bf15edeb92981212fb609649792cdd0b9290ea38e","sha256:0e2a5d11b4f3704b4217cff9244027d5aa322677b2e28197f3887b95977a7976"],"state_sha256":"772ea1ed88a1ddecceb4d992abec5c35d94a46f95b6c44067a82325a376cc915"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MMTS21NZKn4Z+okDe8K03UYYgAq30ZedzygNWHVnUHM5BoQrqSS+7tpIwi0+sAgfN/bSCsgJlWDgoVAIgcZhBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-03T01:14:13.002875Z","bundle_sha256":"dba14353cd52f7d9c83fcfc2b0ad5f4a5960ba334493b2376e58fc4e509c736a"}}