{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:T5Z4CCVNOTYYF2HEIZJMIBQHUV","short_pith_number":"pith:T5Z4CCVN","canonical_record":{"source":{"id":"1902.10197","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-02-26T20:15:09Z","cross_cats_sorted":["cs.CL","stat.ML"],"title_canon_sha256":"fe624f6c2703e438943780ab9af4b384b85a6f9aca684b0cf0b2a50bd16d54a9","abstract_canon_sha256":"a650b6083c9ba3673000d1f5cbb8055c60afbfc50e2fac1caa4e552dd5191c94"},"schema_version":"1.0"},"canonical_sha256":"9f73c10aad74f182e8e44652c40607a54497e3da7b9934ac0f2ecd69aed3dfde","source":{"kind":"arxiv","id":"1902.10197","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1902.10197","created_at":"2026-05-17T23:52:31Z"},{"alias_kind":"arxiv_version","alias_value":"1902.10197v1","created_at":"2026-05-17T23:52:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1902.10197","created_at":"2026-05-17T23:52:31Z"},{"alias_kind":"pith_short_12","alias_value":"T5Z4CCVNOTYY","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_16","alias_value":"T5Z4CCVNOTYYF2HE","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_8","alias_value":"T5Z4CCVN","created_at":"2026-05-18T12:33:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:T5Z4CCVNOTYYF2HEIZJMIBQHUV","target":"record","payload":{"canonical_record":{"source":{"id":"1902.10197","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-02-26T20:15:09Z","cross_cats_sorted":["cs.CL","stat.ML"],"title_canon_sha256":"fe624f6c2703e438943780ab9af4b384b85a6f9aca684b0cf0b2a50bd16d54a9","abstract_canon_sha256":"a650b6083c9ba3673000d1f5cbb8055c60afbfc50e2fac1caa4e552dd5191c94"},"schema_version":"1.0"},"canonical_sha256":"9f73c10aad74f182e8e44652c40607a54497e3da7b9934ac0f2ecd69aed3dfde","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:52:31.521238Z","signature_b64":"ADN/I9YXBOZ1scCS5WKl/WqGXBUa/vuoNCYOMm6ErOEIZdDGJQhbda0d2PiauIZ/9+5hST9Xi0zxGNkpIhxsCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9f73c10aad74f182e8e44652c40607a54497e3da7b9934ac0f2ecd69aed3dfde","last_reissued_at":"2026-05-17T23:52:31.520801Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:52:31.520801Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1902.10197","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":"2026-05-17T23:52:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OzQ0SH6PD3ZQrMiMXrMuIHgT03FtW05h0pl8AXOeJ6Crm0ERj+Fld6pmPVduNzXTBto0DRUksiLATPXPXiI9Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-07T09:03:59.491639Z"},"content_sha256":"7ae5d47d5a844cf0f47867bd70522ad46a6c4cc0ffdb366897101769a4d2625a","schema_version":"1.0","event_id":"sha256:7ae5d47d5a844cf0f47867bd70522ad46a6c4cc0ffdb366897101769a4d2625a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:T5Z4CCVNOTYYF2HEIZJMIBQHUV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL","stat.ML"],"primary_cat":"cs.LG","authors_text":"Jian Tang, Jian-Yun Nie, Zhi-Hong Deng, Zhiqing Sun","submitted_at":"2019-02-26T20:15:09Z","abstract_excerpt":"We study the problem of learning representations of entities and relations in knowledge graphs for predicting missing links. The success of such a task heavily relies on the ability of modeling and inferring the patterns of (or between) the relations. In this paper, we present a new approach for knowledge graph embedding called RotatE, which is able to model and infer various relation patterns including: symmetry/antisymmetry, inversion, and composition. Specifically, the RotatE model defines each relation as a rotation from the source entity to the target entity in the complex vector space. I"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1902.10197","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":"2026-05-17T23:52:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SuxqqVjWHpZ9vvMXky3ZPsgIUQTxoqQAmvRIqk8unwklyH3NtURrIziJiailtP8SnzbuYZbqmWTzwCW3DrXTCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-07T09:03:59.492258Z"},"content_sha256":"806cd85d347987cd8a65f1290605ccd85300049bca30580cb9d0903998e5ddad","schema_version":"1.0","event_id":"sha256:806cd85d347987cd8a65f1290605ccd85300049bca30580cb9d0903998e5ddad"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/T5Z4CCVNOTYYF2HEIZJMIBQHUV/bundle.json","state_url":"https://pith.science/pith/T5Z4CCVNOTYYF2HEIZJMIBQHUV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/T5Z4CCVNOTYYF2HEIZJMIBQHUV/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":"2026-06-07T09:03:59Z","links":{"resolver":"https://pith.science/pith/T5Z4CCVNOTYYF2HEIZJMIBQHUV","bundle":"https://pith.science/pith/T5Z4CCVNOTYYF2HEIZJMIBQHUV/bundle.json","state":"https://pith.science/pith/T5Z4CCVNOTYYF2HEIZJMIBQHUV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/T5Z4CCVNOTYYF2HEIZJMIBQHUV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:T5Z4CCVNOTYYF2HEIZJMIBQHUV","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":"a650b6083c9ba3673000d1f5cbb8055c60afbfc50e2fac1caa4e552dd5191c94","cross_cats_sorted":["cs.CL","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-02-26T20:15:09Z","title_canon_sha256":"fe624f6c2703e438943780ab9af4b384b85a6f9aca684b0cf0b2a50bd16d54a9"},"schema_version":"1.0","source":{"id":"1902.10197","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1902.10197","created_at":"2026-05-17T23:52:31Z"},{"alias_kind":"arxiv_version","alias_value":"1902.10197v1","created_at":"2026-05-17T23:52:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1902.10197","created_at":"2026-05-17T23:52:31Z"},{"alias_kind":"pith_short_12","alias_value":"T5Z4CCVNOTYY","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_16","alias_value":"T5Z4CCVNOTYYF2HE","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_8","alias_value":"T5Z4CCVN","created_at":"2026-05-18T12:33:27Z"}],"graph_snapshots":[{"event_id":"sha256:806cd85d347987cd8a65f1290605ccd85300049bca30580cb9d0903998e5ddad","target":"graph","created_at":"2026-05-17T23:52:31Z","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 study the problem of learning representations of entities and relations in knowledge graphs for predicting missing links. The success of such a task heavily relies on the ability of modeling and inferring the patterns of (or between) the relations. In this paper, we present a new approach for knowledge graph embedding called RotatE, which is able to model and infer various relation patterns including: symmetry/antisymmetry, inversion, and composition. Specifically, the RotatE model defines each relation as a rotation from the source entity to the target entity in the complex vector space. I","authors_text":"Jian Tang, Jian-Yun Nie, Zhi-Hong Deng, Zhiqing Sun","cross_cats":["cs.CL","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-02-26T20:15:09Z","title":"RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1902.10197","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":"sha256:7ae5d47d5a844cf0f47867bd70522ad46a6c4cc0ffdb366897101769a4d2625a","target":"record","created_at":"2026-05-17T23:52:31Z","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":"a650b6083c9ba3673000d1f5cbb8055c60afbfc50e2fac1caa4e552dd5191c94","cross_cats_sorted":["cs.CL","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-02-26T20:15:09Z","title_canon_sha256":"fe624f6c2703e438943780ab9af4b384b85a6f9aca684b0cf0b2a50bd16d54a9"},"schema_version":"1.0","source":{"id":"1902.10197","kind":"arxiv","version":1}},"canonical_sha256":"9f73c10aad74f182e8e44652c40607a54497e3da7b9934ac0f2ecd69aed3dfde","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9f73c10aad74f182e8e44652c40607a54497e3da7b9934ac0f2ecd69aed3dfde","first_computed_at":"2026-05-17T23:52:31.520801Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:52:31.520801Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ADN/I9YXBOZ1scCS5WKl/WqGXBUa/vuoNCYOMm6ErOEIZdDGJQhbda0d2PiauIZ/9+5hST9Xi0zxGNkpIhxsCg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:52:31.521238Z","signed_message":"canonical_sha256_bytes"},"source_id":"1902.10197","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7ae5d47d5a844cf0f47867bd70522ad46a6c4cc0ffdb366897101769a4d2625a","sha256:806cd85d347987cd8a65f1290605ccd85300049bca30580cb9d0903998e5ddad"],"state_sha256":"0da3318619803dc4b07b7753ab8f014d9b4be42345cacdee7d01cf55f18e8894"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GnuZN81Z0xG/t66owQARxIDkA4Jn+HT1rd1X579K4BUw8sFDfFnqsw66Ilb+gQLKjDGOtbD1iCWR20hqkK18CQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-07T09:03:59.495456Z","bundle_sha256":"284298d31a88c85b3489ab490750313d6d69fbfe5416e9c68f451d37d4ab974e"}}