{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:LSKXHY7N6Z3XAT3AATLXBE3NKT","short_pith_number":"pith:LSKXHY7N","canonical_record":{"source":{"id":"1908.08210","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-08-22T05:45:30Z","cross_cats_sorted":[],"title_canon_sha256":"e1fd6e8ac4d43166bf0a0e2557554c32386aa16ae9c022c19f4da269580a4438","abstract_canon_sha256":"060040fc2cd406059d01995149ee4b3f2ce93fee325ebfd96a774df8c589e30c"},"schema_version":"1.0"},"canonical_sha256":"5c9573e3edf677704f6004d770936d54c497257930b5af4032b7cc38443a5424","source":{"kind":"arxiv","id":"1908.08210","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.08210","created_at":"2026-07-04T23:59:10Z"},{"alias_kind":"arxiv_version","alias_value":"1908.08210v1","created_at":"2026-07-04T23:59:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.08210","created_at":"2026-07-04T23:59:10Z"},{"alias_kind":"pith_short_12","alias_value":"LSKXHY7N6Z3X","created_at":"2026-07-04T23:59:10Z"},{"alias_kind":"pith_short_16","alias_value":"LSKXHY7N6Z3XAT3A","created_at":"2026-07-04T23:59:10Z"},{"alias_kind":"pith_short_8","alias_value":"LSKXHY7N","created_at":"2026-07-04T23:59:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:LSKXHY7N6Z3XAT3AATLXBE3NKT","target":"record","payload":{"canonical_record":{"source":{"id":"1908.08210","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-08-22T05:45:30Z","cross_cats_sorted":[],"title_canon_sha256":"e1fd6e8ac4d43166bf0a0e2557554c32386aa16ae9c022c19f4da269580a4438","abstract_canon_sha256":"060040fc2cd406059d01995149ee4b3f2ce93fee325ebfd96a774df8c589e30c"},"schema_version":"1.0"},"canonical_sha256":"5c9573e3edf677704f6004d770936d54c497257930b5af4032b7cc38443a5424","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-04T23:59:10.646635Z","signature_b64":"v4Ce6MHZdq8tHzS8pxq+aECNHjBU+mhtwu9EDoKc8PieAwL8EXXeZ2zC4wuO+Wg5aaLfffg4cg0zPEWBmSU/AA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5c9573e3edf677704f6004d770936d54c497257930b5af4032b7cc38443a5424","last_reissued_at":"2026-07-04T23:59:10.646149Z","signature_status":"signed_v1","first_computed_at":"2026-07-04T23:59:10.646149Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1908.08210","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":"2026-07-04T23:59:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UAWwt8iQjibVOAepf2HNAYdt4eybEh8PlcxWCppJIjAW3yPRfjmq/KxaMyLoLfqjE4ecFCOb+RVEPjO/IcNlBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T10:50:04.020450Z"},"content_sha256":"9d3b8d40c4fe2d1af93779dc71083246b27701b9a9eadc47f1d8e0bd4c530379","schema_version":"1.0","event_id":"sha256:9d3b8d40c4fe2d1af93779dc71083246b27701b9a9eadc47f1d8e0bd4c530379"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:LSKXHY7N6Z3XAT3AATLXBE3NKT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Dongyan Zhao, Rui Yan, Xiao Liu, Yansong Feng, Yuting Wu, Zheng Wang","submitted_at":"2019-08-22T05:45:30Z","abstract_excerpt":"Entity alignment is the task of linking entities with the same real-world identity from different knowledge graphs (KGs), which has been recently dominated by embedding-based methods. Such approaches work by learning KG representations so that entity alignment can be performed by measuring the similarities between entity embeddings. While promising, prior works in the field often fail to properly capture complex relation information that commonly exists in multi-relational KGs, leaving much room for improvement. In this paper, we propose a novel Relation-aware Dual-Graph Convolutional Network "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.08210","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/1908.08210/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-04T23:59:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Vi7CBmGXBuIqRLvAkVsuTJQnT9tyg9zFzAQGJcnznD0yNai4RUxvmqQdoiuPD+LZbk62HTyRxkR4bbG1dDTpBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T10:50:04.021389Z"},"content_sha256":"2b79bb2874cf934c89e163b2a8b7fbedcd48379e30e20102225019f0547cd1bd","schema_version":"1.0","event_id":"sha256:2b79bb2874cf934c89e163b2a8b7fbedcd48379e30e20102225019f0547cd1bd"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LSKXHY7N6Z3XAT3AATLXBE3NKT/bundle.json","state_url":"https://pith.science/pith/LSKXHY7N6Z3XAT3AATLXBE3NKT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LSKXHY7N6Z3XAT3AATLXBE3NKT/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":"2026-08-15T10:50:04Z","links":{"resolver":"https://pith.science/pith/LSKXHY7N6Z3XAT3AATLXBE3NKT","bundle":"https://pith.science/pith/LSKXHY7N6Z3XAT3AATLXBE3NKT/bundle.json","state":"https://pith.science/pith/LSKXHY7N6Z3XAT3AATLXBE3NKT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LSKXHY7N6Z3XAT3AATLXBE3NKT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:LSKXHY7N6Z3XAT3AATLXBE3NKT","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":"060040fc2cd406059d01995149ee4b3f2ce93fee325ebfd96a774df8c589e30c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-08-22T05:45:30Z","title_canon_sha256":"e1fd6e8ac4d43166bf0a0e2557554c32386aa16ae9c022c19f4da269580a4438"},"schema_version":"1.0","source":{"id":"1908.08210","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.08210","created_at":"2026-07-04T23:59:10Z"},{"alias_kind":"arxiv_version","alias_value":"1908.08210v1","created_at":"2026-07-04T23:59:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.08210","created_at":"2026-07-04T23:59:10Z"},{"alias_kind":"pith_short_12","alias_value":"LSKXHY7N6Z3X","created_at":"2026-07-04T23:59:10Z"},{"alias_kind":"pith_short_16","alias_value":"LSKXHY7N6Z3XAT3A","created_at":"2026-07-04T23:59:10Z"},{"alias_kind":"pith_short_8","alias_value":"LSKXHY7N","created_at":"2026-07-04T23:59:10Z"}],"graph_snapshots":[{"event_id":"sha256:2b79bb2874cf934c89e163b2a8b7fbedcd48379e30e20102225019f0547cd1bd","target":"graph","created_at":"2026-07-04T23:59:10Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/1908.08210/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Entity alignment is the task of linking entities with the same real-world identity from different knowledge graphs (KGs), which has been recently dominated by embedding-based methods. Such approaches work by learning KG representations so that entity alignment can be performed by measuring the similarities between entity embeddings. While promising, prior works in the field often fail to properly capture complex relation information that commonly exists in multi-relational KGs, leaving much room for improvement. In this paper, we propose a novel Relation-aware Dual-Graph Convolutional Network ","authors_text":"Dongyan Zhao, Rui Yan, Xiao Liu, Yansong Feng, Yuting Wu, Zheng Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-08-22T05:45:30Z","title":"Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.08210","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":"sha256:9d3b8d40c4fe2d1af93779dc71083246b27701b9a9eadc47f1d8e0bd4c530379","target":"record","created_at":"2026-07-04T23:59:10Z","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":"060040fc2cd406059d01995149ee4b3f2ce93fee325ebfd96a774df8c589e30c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-08-22T05:45:30Z","title_canon_sha256":"e1fd6e8ac4d43166bf0a0e2557554c32386aa16ae9c022c19f4da269580a4438"},"schema_version":"1.0","source":{"id":"1908.08210","kind":"arxiv","version":1}},"canonical_sha256":"5c9573e3edf677704f6004d770936d54c497257930b5af4032b7cc38443a5424","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5c9573e3edf677704f6004d770936d54c497257930b5af4032b7cc38443a5424","first_computed_at":"2026-07-04T23:59:10.646149Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-04T23:59:10.646149Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"v4Ce6MHZdq8tHzS8pxq+aECNHjBU+mhtwu9EDoKc8PieAwL8EXXeZ2zC4wuO+Wg5aaLfffg4cg0zPEWBmSU/AA==","signature_status":"signed_v1","signed_at":"2026-07-04T23:59:10.646635Z","signed_message":"canonical_sha256_bytes"},"source_id":"1908.08210","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9d3b8d40c4fe2d1af93779dc71083246b27701b9a9eadc47f1d8e0bd4c530379","sha256:2b79bb2874cf934c89e163b2a8b7fbedcd48379e30e20102225019f0547cd1bd"],"state_sha256":"f774870d2c7f6e4e5c12e4d26a6a96acf71ca0b77237782cbc40ac6fd6067541"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7p957jZPr3TP5una9bhNgGkMvJq8zKQkm4wHvMBBW+QXgNb/J1WwOZtzQd02Rx0ZBkpV1EGnXAGg8DGtKhFcDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T10:50:04.029077Z","bundle_sha256":"726acf35a148d16923b3dbd11f95dde13cd7565b56df5bbdc5fa7bb41f2110ae"}}