{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:HADU5RJN5Y5YHN2NV4WIGB5LZD","short_pith_number":"pith:HADU5RJN","canonical_record":{"source":{"id":"1605.04475","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-05-14T22:11:07Z","cross_cats_sorted":[],"title_canon_sha256":"1b36c24c900a0159674978bfcd6128751b18362efab7a506e3db0f9580cf55ec","abstract_canon_sha256":"73d523950dc914b4eea4968f4f3f9e4a2be84ea8c2324f4428470668333ad15e"},"schema_version":"1.0"},"canonical_sha256":"38074ec52dee3b83b74daf2c8307abc8c2c457ffdfa66bc9c0e8c3d00f3a7df0","source":{"kind":"arxiv","id":"1605.04475","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1605.04475","created_at":"2026-05-18T01:14:47Z"},{"alias_kind":"arxiv_version","alias_value":"1605.04475v1","created_at":"2026-05-18T01:14:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1605.04475","created_at":"2026-05-18T01:14:47Z"},{"alias_kind":"pith_short_12","alias_value":"HADU5RJN5Y5Y","created_at":"2026-05-18T12:30:19Z"},{"alias_kind":"pith_short_16","alias_value":"HADU5RJN5Y5YHN2N","created_at":"2026-05-18T12:30:19Z"},{"alias_kind":"pith_short_8","alias_value":"HADU5RJN","created_at":"2026-05-18T12:30:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:HADU5RJN5Y5YHN2NV4WIGB5LZD","target":"record","payload":{"canonical_record":{"source":{"id":"1605.04475","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-05-14T22:11:07Z","cross_cats_sorted":[],"title_canon_sha256":"1b36c24c900a0159674978bfcd6128751b18362efab7a506e3db0f9580cf55ec","abstract_canon_sha256":"73d523950dc914b4eea4968f4f3f9e4a2be84ea8c2324f4428470668333ad15e"},"schema_version":"1.0"},"canonical_sha256":"38074ec52dee3b83b74daf2c8307abc8c2c457ffdfa66bc9c0e8c3d00f3a7df0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:14:47.112559Z","signature_b64":"bqJMIWl2/P2FZpXx1y28kanhsUY2xD81Hi7quAzve8o9ac2ol2nObPl5Z2PgvkJTXEoQa76jPFeJfSEpS41wBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"38074ec52dee3b83b74daf2c8307abc8c2c457ffdfa66bc9c0e8c3d00f3a7df0","last_reissued_at":"2026-05-18T01:14:47.111908Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:14:47.111908Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1605.04475","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":"2026-05-18T01:14:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"N3HRHLfpGe45YpVchm+J5Rj/JcWbW1oUiMkRWMCKA8xyerZ6FrkY015KY0tF3aoz26bA2yrZLwf8CQF0SRPZCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T08:51:02.875893Z"},"content_sha256":"462539bc8f9d49959c8c60663513304a144e5933143c17d2c11c5b43c2806b3e","schema_version":"1.0","event_id":"sha256:462539bc8f9d49959c8c60663513304a144e5933143c17d2c11c5b43c2806b3e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:HADU5RJN5Y5YHN2NV4WIGB5LZD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Capturing divergence in dependency trees to improve syntactic projection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Fei Xia, Ryan Georgi, William D. Lewis","submitted_at":"2016-05-14T22:11:07Z","abstract_excerpt":"Obtaining syntactic parses is a crucial part of many NLP pipelines. However, most of the world's languages do not have large amounts of syntactically annotated corpora available for building parsers. Syntactic projection techniques attempt to address this issue by using parallel corpora consisting of resource-poor and resource-rich language pairs, taking advantage of a parser for the resource-rich language and word alignment between the languages to project the parses onto the data for the resource-poor language. These projection methods can suffer, however, when the two languages are divergen"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1605.04475","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":"2026-05-18T01:14:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ocXjcKxntE3fV//Ed6OJilD/njn5P+LuKxdCwizd5P7m+mFrDHOQq8SYdPSi5J+jO6P5hZicYR4WxebHADlFBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T08:51:02.876235Z"},"content_sha256":"e5adf6c6f0e73cb90ee6f9ef0ad673baf937d2e0037831fdc2e9bad01e5cdd4c","schema_version":"1.0","event_id":"sha256:e5adf6c6f0e73cb90ee6f9ef0ad673baf937d2e0037831fdc2e9bad01e5cdd4c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HADU5RJN5Y5YHN2NV4WIGB5LZD/bundle.json","state_url":"https://pith.science/pith/HADU5RJN5Y5YHN2NV4WIGB5LZD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HADU5RJN5Y5YHN2NV4WIGB5LZD/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":"2026-05-28T08:51:02Z","links":{"resolver":"https://pith.science/pith/HADU5RJN5Y5YHN2NV4WIGB5LZD","bundle":"https://pith.science/pith/HADU5RJN5Y5YHN2NV4WIGB5LZD/bundle.json","state":"https://pith.science/pith/HADU5RJN5Y5YHN2NV4WIGB5LZD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HADU5RJN5Y5YHN2NV4WIGB5LZD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:HADU5RJN5Y5YHN2NV4WIGB5LZD","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":"73d523950dc914b4eea4968f4f3f9e4a2be84ea8c2324f4428470668333ad15e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-05-14T22:11:07Z","title_canon_sha256":"1b36c24c900a0159674978bfcd6128751b18362efab7a506e3db0f9580cf55ec"},"schema_version":"1.0","source":{"id":"1605.04475","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1605.04475","created_at":"2026-05-18T01:14:47Z"},{"alias_kind":"arxiv_version","alias_value":"1605.04475v1","created_at":"2026-05-18T01:14:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1605.04475","created_at":"2026-05-18T01:14:47Z"},{"alias_kind":"pith_short_12","alias_value":"HADU5RJN5Y5Y","created_at":"2026-05-18T12:30:19Z"},{"alias_kind":"pith_short_16","alias_value":"HADU5RJN5Y5YHN2N","created_at":"2026-05-18T12:30:19Z"},{"alias_kind":"pith_short_8","alias_value":"HADU5RJN","created_at":"2026-05-18T12:30:19Z"}],"graph_snapshots":[{"event_id":"sha256:e5adf6c6f0e73cb90ee6f9ef0ad673baf937d2e0037831fdc2e9bad01e5cdd4c","target":"graph","created_at":"2026-05-18T01:14:47Z","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":"Obtaining syntactic parses is a crucial part of many NLP pipelines. However, most of the world's languages do not have large amounts of syntactically annotated corpora available for building parsers. Syntactic projection techniques attempt to address this issue by using parallel corpora consisting of resource-poor and resource-rich language pairs, taking advantage of a parser for the resource-rich language and word alignment between the languages to project the parses onto the data for the resource-poor language. These projection methods can suffer, however, when the two languages are divergen","authors_text":"Fei Xia, Ryan Georgi, William D. Lewis","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-05-14T22:11:07Z","title":"Capturing divergence in dependency trees to improve syntactic projection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1605.04475","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":"sha256:462539bc8f9d49959c8c60663513304a144e5933143c17d2c11c5b43c2806b3e","target":"record","created_at":"2026-05-18T01:14:47Z","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":"73d523950dc914b4eea4968f4f3f9e4a2be84ea8c2324f4428470668333ad15e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-05-14T22:11:07Z","title_canon_sha256":"1b36c24c900a0159674978bfcd6128751b18362efab7a506e3db0f9580cf55ec"},"schema_version":"1.0","source":{"id":"1605.04475","kind":"arxiv","version":1}},"canonical_sha256":"38074ec52dee3b83b74daf2c8307abc8c2c457ffdfa66bc9c0e8c3d00f3a7df0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"38074ec52dee3b83b74daf2c8307abc8c2c457ffdfa66bc9c0e8c3d00f3a7df0","first_computed_at":"2026-05-18T01:14:47.111908Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:14:47.111908Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bqJMIWl2/P2FZpXx1y28kanhsUY2xD81Hi7quAzve8o9ac2ol2nObPl5Z2PgvkJTXEoQa76jPFeJfSEpS41wBQ==","signature_status":"signed_v1","signed_at":"2026-05-18T01:14:47.112559Z","signed_message":"canonical_sha256_bytes"},"source_id":"1605.04475","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:462539bc8f9d49959c8c60663513304a144e5933143c17d2c11c5b43c2806b3e","sha256:e5adf6c6f0e73cb90ee6f9ef0ad673baf937d2e0037831fdc2e9bad01e5cdd4c"],"state_sha256":"3cf7d084a408f91465bb7b8ca1c7c26b5ac109e6f20ac7df7384ddf391835789"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tMVdmDFa4ug4EfvBAvUGntne64o3sIfxIxqJ34M/9KuQmdWvW2LZvfLvKt/8d5sckAp7uqBXoiZymeJZc6toCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T08:51:02.878142Z","bundle_sha256":"e0cc6d88dacb233138b2b201d33043db25eb3f931d6b8e78cb3f3f3bdba2b05b"}}