{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2014:BOXSONC5NXZVZA6SLYHVF5AAVV","short_pith_number":"pith:BOXSONC5","canonical_record":{"source":{"id":"1404.4714","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/3.0/","primary_cat":"cs.CL","submitted_at":"2014-04-18T07:48:02Z","cross_cats_sorted":[],"title_canon_sha256":"a0da9d1954cb5219773a8e26e70349e628ad7fe1476094a87ecbea237eb4dcdb","abstract_canon_sha256":"b091c766350a46d419743f79719c09a8ca466ef5bc228ed8e299037b547368c7"},"schema_version":"1.0"},"canonical_sha256":"0baf27345d6df35c83d25e0f52f400ad4beef12c45e238c755c1a9db8cae611d","source":{"kind":"arxiv","id":"1404.4714","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1404.4714","created_at":"2026-05-18T02:53:55Z"},{"alias_kind":"arxiv_version","alias_value":"1404.4714v1","created_at":"2026-05-18T02:53:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1404.4714","created_at":"2026-05-18T02:53:55Z"},{"alias_kind":"pith_short_12","alias_value":"BOXSONC5NXZV","created_at":"2026-05-18T12:28:22Z"},{"alias_kind":"pith_short_16","alias_value":"BOXSONC5NXZVZA6S","created_at":"2026-05-18T12:28:22Z"},{"alias_kind":"pith_short_8","alias_value":"BOXSONC5","created_at":"2026-05-18T12:28:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2014:BOXSONC5NXZVZA6SLYHVF5AAVV","target":"record","payload":{"canonical_record":{"source":{"id":"1404.4714","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/3.0/","primary_cat":"cs.CL","submitted_at":"2014-04-18T07:48:02Z","cross_cats_sorted":[],"title_canon_sha256":"a0da9d1954cb5219773a8e26e70349e628ad7fe1476094a87ecbea237eb4dcdb","abstract_canon_sha256":"b091c766350a46d419743f79719c09a8ca466ef5bc228ed8e299037b547368c7"},"schema_version":"1.0"},"canonical_sha256":"0baf27345d6df35c83d25e0f52f400ad4beef12c45e238c755c1a9db8cae611d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:53:55.241597Z","signature_b64":"W0dsJgeLWtYZEPCkC+D2iAjgQ4V6QugXGn2BnAC7m+Ol5V9ZifJ8OsuQldQZHtjWQ2CPSGtdD9HuAkSoRBWrAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0baf27345d6df35c83d25e0f52f400ad4beef12c45e238c755c1a9db8cae611d","last_reissued_at":"2026-05-18T02:53:55.240756Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:53:55.240756Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1404.4714","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":"2026-05-18T02:53:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZHT5v7WoEumab2XHrZE05ZuOj2UYTBrvEZCIDOP8WIUKl/f0QyV15CpkgF38jCQGlvznj2fuhIh2KdJmU0JLDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-12T02:22:10.408245Z"},"content_sha256":"070dcd1a0f360c85243b6adc494a7c2b9507e85c8cc20796b8fc631d3943ba2b","schema_version":"1.0","event_id":"sha256:070dcd1a0f360c85243b6adc494a7c2b9507e85c8cc20796b8fc631d3943ba2b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2014:BOXSONC5NXZVZA6SLYHVF5AAVV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Radical-Enhanced Chinese Character Embedding","license":"http://creativecommons.org/licenses/by-nc-sa/3.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Duyu Tang, Lei Lin, Nan Yang, Xiaolong Wang, Yaming Sun, Zhenzhou Ji","submitted_at":"2014-04-18T07:48:02Z","abstract_excerpt":"We present a method to leverage radical for learning Chinese character embedding. Radical is a semantic and phonetic component of Chinese character. It plays an important role as characters with the same radical usually have similar semantic meaning and grammatical usage. However, existing Chinese processing algorithms typically regard word or character as the basic unit but ignore the crucial radical information. In this paper, we fill this gap by leveraging radical for learning continuous representation of Chinese character. We develop a dedicated neural architecture to effectively learn cha"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1404.4714","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":"2026-05-18T02:53:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2L3+572DTJOZbQPjvydwH5oZOEsqP9l4rien8KFA80LuLcNxFTVlKHNJRqun7Zj+DYwhSLtB/7jBeXI+E7xcAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-12T02:22:10.408923Z"},"content_sha256":"e4f6ffbbeabc91e63cde1e3683a8b87b628800bbfd45c4be4321e2f0d1bb828f","schema_version":"1.0","event_id":"sha256:e4f6ffbbeabc91e63cde1e3683a8b87b628800bbfd45c4be4321e2f0d1bb828f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BOXSONC5NXZVZA6SLYHVF5AAVV/bundle.json","state_url":"https://pith.science/pith/BOXSONC5NXZVZA6SLYHVF5AAVV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BOXSONC5NXZVZA6SLYHVF5AAVV/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":"2026-06-12T02:22:10Z","links":{"resolver":"https://pith.science/pith/BOXSONC5NXZVZA6SLYHVF5AAVV","bundle":"https://pith.science/pith/BOXSONC5NXZVZA6SLYHVF5AAVV/bundle.json","state":"https://pith.science/pith/BOXSONC5NXZVZA6SLYHVF5AAVV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BOXSONC5NXZVZA6SLYHVF5AAVV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:BOXSONC5NXZVZA6SLYHVF5AAVV","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":"b091c766350a46d419743f79719c09a8ca466ef5bc228ed8e299037b547368c7","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/3.0/","primary_cat":"cs.CL","submitted_at":"2014-04-18T07:48:02Z","title_canon_sha256":"a0da9d1954cb5219773a8e26e70349e628ad7fe1476094a87ecbea237eb4dcdb"},"schema_version":"1.0","source":{"id":"1404.4714","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1404.4714","created_at":"2026-05-18T02:53:55Z"},{"alias_kind":"arxiv_version","alias_value":"1404.4714v1","created_at":"2026-05-18T02:53:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1404.4714","created_at":"2026-05-18T02:53:55Z"},{"alias_kind":"pith_short_12","alias_value":"BOXSONC5NXZV","created_at":"2026-05-18T12:28:22Z"},{"alias_kind":"pith_short_16","alias_value":"BOXSONC5NXZVZA6S","created_at":"2026-05-18T12:28:22Z"},{"alias_kind":"pith_short_8","alias_value":"BOXSONC5","created_at":"2026-05-18T12:28:22Z"}],"graph_snapshots":[{"event_id":"sha256:e4f6ffbbeabc91e63cde1e3683a8b87b628800bbfd45c4be4321e2f0d1bb828f","target":"graph","created_at":"2026-05-18T02:53:55Z","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":"We present a method to leverage radical for learning Chinese character embedding. Radical is a semantic and phonetic component of Chinese character. It plays an important role as characters with the same radical usually have similar semantic meaning and grammatical usage. However, existing Chinese processing algorithms typically regard word or character as the basic unit but ignore the crucial radical information. In this paper, we fill this gap by leveraging radical for learning continuous representation of Chinese character. We develop a dedicated neural architecture to effectively learn cha","authors_text":"Duyu Tang, Lei Lin, Nan Yang, Xiaolong Wang, Yaming Sun, Zhenzhou Ji","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/3.0/","primary_cat":"cs.CL","submitted_at":"2014-04-18T07:48:02Z","title":"Radical-Enhanced Chinese Character Embedding"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1404.4714","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":"sha256:070dcd1a0f360c85243b6adc494a7c2b9507e85c8cc20796b8fc631d3943ba2b","target":"record","created_at":"2026-05-18T02:53:55Z","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":"b091c766350a46d419743f79719c09a8ca466ef5bc228ed8e299037b547368c7","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/3.0/","primary_cat":"cs.CL","submitted_at":"2014-04-18T07:48:02Z","title_canon_sha256":"a0da9d1954cb5219773a8e26e70349e628ad7fe1476094a87ecbea237eb4dcdb"},"schema_version":"1.0","source":{"id":"1404.4714","kind":"arxiv","version":1}},"canonical_sha256":"0baf27345d6df35c83d25e0f52f400ad4beef12c45e238c755c1a9db8cae611d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0baf27345d6df35c83d25e0f52f400ad4beef12c45e238c755c1a9db8cae611d","first_computed_at":"2026-05-18T02:53:55.240756Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:53:55.240756Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"W0dsJgeLWtYZEPCkC+D2iAjgQ4V6QugXGn2BnAC7m+Ol5V9ZifJ8OsuQldQZHtjWQ2CPSGtdD9HuAkSoRBWrAA==","signature_status":"signed_v1","signed_at":"2026-05-18T02:53:55.241597Z","signed_message":"canonical_sha256_bytes"},"source_id":"1404.4714","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:070dcd1a0f360c85243b6adc494a7c2b9507e85c8cc20796b8fc631d3943ba2b","sha256:e4f6ffbbeabc91e63cde1e3683a8b87b628800bbfd45c4be4321e2f0d1bb828f"],"state_sha256":"fd79e5a58107ab842e818a7205d5afbd86ad04a426da70a1aca1ef883808c3cd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QLglZcm1CXRrnZ+b09EPCjH+cUDNKg4UQAN1fQ2/p3WASJNox3RCzlNlOyXj38YgfPad+DvfHOgDFuEX6yERCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-12T02:22:10.412699Z","bundle_sha256":"07f409c1175105926f923a532364eba9b7e624378fa1bedd3a04c23aaac52f41"}}