{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2015:ELDZ2M4SXWEUCDCSEU5YIEJQKA","short_pith_number":"pith:ELDZ2M4S","canonical_record":{"source":{"id":"1508.06669","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2015-08-26T21:25:25Z","cross_cats_sorted":[],"title_canon_sha256":"891ee4cb3968f543c55bdce7e998329918b41e8e5084d3387ff12ed9b40d8776","abstract_canon_sha256":"6f9d1f64df55840434cb090b79a754a70cba55c1734f31f4053f2b5cc5eed9cb"},"schema_version":"1.0"},"canonical_sha256":"22c79d3392bd89410c52253b8411305031e494d468c86a6e23a8cadb2ae8633c","source":{"kind":"arxiv","id":"1508.06669","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1508.06669","created_at":"2026-05-18T01:34:41Z"},{"alias_kind":"arxiv_version","alias_value":"1508.06669v1","created_at":"2026-05-18T01:34:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1508.06669","created_at":"2026-05-18T01:34:41Z"},{"alias_kind":"pith_short_12","alias_value":"ELDZ2M4SXWEU","created_at":"2026-05-18T12:29:19Z"},{"alias_kind":"pith_short_16","alias_value":"ELDZ2M4SXWEUCDCS","created_at":"2026-05-18T12:29:19Z"},{"alias_kind":"pith_short_8","alias_value":"ELDZ2M4S","created_at":"2026-05-18T12:29:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2015:ELDZ2M4SXWEUCDCSEU5YIEJQKA","target":"record","payload":{"canonical_record":{"source":{"id":"1508.06669","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2015-08-26T21:25:25Z","cross_cats_sorted":[],"title_canon_sha256":"891ee4cb3968f543c55bdce7e998329918b41e8e5084d3387ff12ed9b40d8776","abstract_canon_sha256":"6f9d1f64df55840434cb090b79a754a70cba55c1734f31f4053f2b5cc5eed9cb"},"schema_version":"1.0"},"canonical_sha256":"22c79d3392bd89410c52253b8411305031e494d468c86a6e23a8cadb2ae8633c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:34:41.374842Z","signature_b64":"7uAeMNNiaXh+T7HxdX4ohGYQLZPA2CEeC9hKiO90+amm+5ZWaIwDk4Bgu4RencItKf1m+XVo+fdiJnHGGisLBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"22c79d3392bd89410c52253b8411305031e494d468c86a6e23a8cadb2ae8633c","last_reissued_at":"2026-05-18T01:34:41.374089Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:34:41.374089Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1508.06669","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":"2026-05-18T01:34:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Fyj8v/bn9SmLTRWco5fbgqsl5lpCGMznL5esNb9g5m0ptwZdG2eqsEou9CjAxhpHuJkRrY8U6kWqHouQ6YfpDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T17:21:17.282952Z"},"content_sha256":"7a24e1df62d73cba7c92bf5f0ccfa13f6736a039eaa5a2b15ff86e971ac2345b","schema_version":"1.0","event_id":"sha256:7a24e1df62d73cba7c92bf5f0ccfa13f6736a039eaa5a2b15ff86e971ac2345b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2015:ELDZ2M4SXWEUCDCSEU5YIEJQKA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Component-Enhanced Chinese Character Embeddings","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Fei Sun, Sujian Li, Wenjie Li, Yanran Li","submitted_at":"2015-08-26T21:25:25Z","abstract_excerpt":"Distributed word representations are very useful for capturing semantic information and have been successfully applied in a variety of NLP tasks, especially on English. In this work, we innovatively develop two component-enhanced Chinese character embedding models and their bigram extensions. Distinguished from English word embeddings, our models explore the compositions of Chinese characters, which often serve as semantic indictors inherently. The evaluations on both word similarity and text classification demonstrate the effectiveness of our models."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1508.06669","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":"2026-05-18T01:34:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zRo1ot891AVHxbbPzrqIQEUliMVcF1WPrWWaULrjEfYuYS1e+dzoTpz1ZRR1CT5waqg7jGNAg+JOnB9ccDUgAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T17:21:17.283558Z"},"content_sha256":"862504271098dd9176bd813412625eb32ebfc360d2894ea2e97c676d8b3377d3","schema_version":"1.0","event_id":"sha256:862504271098dd9176bd813412625eb32ebfc360d2894ea2e97c676d8b3377d3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ELDZ2M4SXWEUCDCSEU5YIEJQKA/bundle.json","state_url":"https://pith.science/pith/ELDZ2M4SXWEUCDCSEU5YIEJQKA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ELDZ2M4SXWEUCDCSEU5YIEJQKA/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":"2026-05-28T17:21:17Z","links":{"resolver":"https://pith.science/pith/ELDZ2M4SXWEUCDCSEU5YIEJQKA","bundle":"https://pith.science/pith/ELDZ2M4SXWEUCDCSEU5YIEJQKA/bundle.json","state":"https://pith.science/pith/ELDZ2M4SXWEUCDCSEU5YIEJQKA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ELDZ2M4SXWEUCDCSEU5YIEJQKA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:ELDZ2M4SXWEUCDCSEU5YIEJQKA","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":"6f9d1f64df55840434cb090b79a754a70cba55c1734f31f4053f2b5cc5eed9cb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2015-08-26T21:25:25Z","title_canon_sha256":"891ee4cb3968f543c55bdce7e998329918b41e8e5084d3387ff12ed9b40d8776"},"schema_version":"1.0","source":{"id":"1508.06669","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1508.06669","created_at":"2026-05-18T01:34:41Z"},{"alias_kind":"arxiv_version","alias_value":"1508.06669v1","created_at":"2026-05-18T01:34:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1508.06669","created_at":"2026-05-18T01:34:41Z"},{"alias_kind":"pith_short_12","alias_value":"ELDZ2M4SXWEU","created_at":"2026-05-18T12:29:19Z"},{"alias_kind":"pith_short_16","alias_value":"ELDZ2M4SXWEUCDCS","created_at":"2026-05-18T12:29:19Z"},{"alias_kind":"pith_short_8","alias_value":"ELDZ2M4S","created_at":"2026-05-18T12:29:19Z"}],"graph_snapshots":[{"event_id":"sha256:862504271098dd9176bd813412625eb32ebfc360d2894ea2e97c676d8b3377d3","target":"graph","created_at":"2026-05-18T01:34:41Z","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":"Distributed word representations are very useful for capturing semantic information and have been successfully applied in a variety of NLP tasks, especially on English. In this work, we innovatively develop two component-enhanced Chinese character embedding models and their bigram extensions. Distinguished from English word embeddings, our models explore the compositions of Chinese characters, which often serve as semantic indictors inherently. The evaluations on both word similarity and text classification demonstrate the effectiveness of our models.","authors_text":"Fei Sun, Sujian Li, Wenjie Li, Yanran Li","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2015-08-26T21:25:25Z","title":"Component-Enhanced Chinese Character Embeddings"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1508.06669","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":"sha256:7a24e1df62d73cba7c92bf5f0ccfa13f6736a039eaa5a2b15ff86e971ac2345b","target":"record","created_at":"2026-05-18T01:34:41Z","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":"6f9d1f64df55840434cb090b79a754a70cba55c1734f31f4053f2b5cc5eed9cb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2015-08-26T21:25:25Z","title_canon_sha256":"891ee4cb3968f543c55bdce7e998329918b41e8e5084d3387ff12ed9b40d8776"},"schema_version":"1.0","source":{"id":"1508.06669","kind":"arxiv","version":1}},"canonical_sha256":"22c79d3392bd89410c52253b8411305031e494d468c86a6e23a8cadb2ae8633c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"22c79d3392bd89410c52253b8411305031e494d468c86a6e23a8cadb2ae8633c","first_computed_at":"2026-05-18T01:34:41.374089Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:34:41.374089Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7uAeMNNiaXh+T7HxdX4ohGYQLZPA2CEeC9hKiO90+amm+5ZWaIwDk4Bgu4RencItKf1m+XVo+fdiJnHGGisLBQ==","signature_status":"signed_v1","signed_at":"2026-05-18T01:34:41.374842Z","signed_message":"canonical_sha256_bytes"},"source_id":"1508.06669","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7a24e1df62d73cba7c92bf5f0ccfa13f6736a039eaa5a2b15ff86e971ac2345b","sha256:862504271098dd9176bd813412625eb32ebfc360d2894ea2e97c676d8b3377d3"],"state_sha256":"bee0fa756e98fa2ea7c5bb4e54369ff2a9d60962db10162b7c0fcbff16f8df4a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rEofbfxkoS5vLh1A+KVJYFKL7jB09K3gu3dWVllXtg6zhFoJ86XokQkfj9lUXbaFNvpkDfvB7SH7XczxL3UACg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T17:21:17.286865Z","bundle_sha256":"8349690cf4b38d5a3b222925708e98ca0d958dfa793d6eec0ccc1323f5f5e4f5"}}