{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:T2R2E5EARYIPCLIMZK4TW4AIBR","short_pith_number":"pith:T2R2E5EA","canonical_record":{"source":{"id":"2211.03536","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-11-07T13:22:28Z","cross_cats_sorted":["cs.AI","cs.CL","cs.IR"],"title_canon_sha256":"97e9f4031b99549055cc96e34a7d4272beeb64a809c02b06fed7e0db94e1cbd8","abstract_canon_sha256":"e0a9e43e1ad3a1e3163ee71844e9a1d5a1f347adf9d25f7fdd2bdded180c8c39"},"schema_version":"1.0"},"canonical_sha256":"9ea3a274808e10f12d0ccab93b70080c5ee70c6b267f67bcd31330a58a2131b9","source":{"kind":"arxiv","id":"2211.03536","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.03536","created_at":"2026-07-05T07:00:57Z"},{"alias_kind":"arxiv_version","alias_value":"2211.03536v2","created_at":"2026-07-05T07:00:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.03536","created_at":"2026-07-05T07:00:57Z"},{"alias_kind":"pith_short_12","alias_value":"T2R2E5EARYIP","created_at":"2026-07-05T07:00:57Z"},{"alias_kind":"pith_short_16","alias_value":"T2R2E5EARYIPCLIM","created_at":"2026-07-05T07:00:57Z"},{"alias_kind":"pith_short_8","alias_value":"T2R2E5EA","created_at":"2026-07-05T07:00:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:T2R2E5EARYIPCLIMZK4TW4AIBR","target":"record","payload":{"canonical_record":{"source":{"id":"2211.03536","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-11-07T13:22:28Z","cross_cats_sorted":["cs.AI","cs.CL","cs.IR"],"title_canon_sha256":"97e9f4031b99549055cc96e34a7d4272beeb64a809c02b06fed7e0db94e1cbd8","abstract_canon_sha256":"e0a9e43e1ad3a1e3163ee71844e9a1d5a1f347adf9d25f7fdd2bdded180c8c39"},"schema_version":"1.0"},"canonical_sha256":"9ea3a274808e10f12d0ccab93b70080c5ee70c6b267f67bcd31330a58a2131b9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:00:57.414421Z","signature_b64":"7w9uW7ks3sVxBv4+fhFx9I0tOyAtaHDIULN21NXU3xVlMdxf28HxVawiDZafWNNdaT/YdOTmSQc60LB1nQ7jCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9ea3a274808e10f12d0ccab93b70080c5ee70c6b267f67bcd31330a58a2131b9","last_reissued_at":"2026-07-05T07:00:57.413919Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:00:57.413919Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2211.03536","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:00:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7UcsWliuvvzFswAxNV1XEji/JDIs3R6P/gkerodXm8iLo8EM8KuOMTTsrs4mcIY7CN6WnHcWvTVjH+lvT5FgCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T00:39:47.254657Z"},"content_sha256":"d2305916cd5b741d8fac851ebc5cab55656d5918db29d22336a5eea9e4880ccf","schema_version":"1.0","event_id":"sha256:d2305916cd5b741d8fac851ebc5cab55656d5918db29d22336a5eea9e4880ccf"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:T2R2E5EARYIPCLIMZK4TW4AIBR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CL","cs.IR"],"primary_cat":"cs.LG","authors_text":"Jiahang Cao, Jinyuan Fang, Shangsong Liang, Zaiqiao Meng","submitted_at":"2022-11-07T13:22:28Z","abstract_excerpt":"Knowledge graph embedding (KGE) is an increasingly popular technique that aims to represent entities and relations of knowledge graphs into low-dimensional semantic spaces for a wide spectrum of applications such as link prediction, knowledge reasoning and knowledge completion. In this paper, we provide a systematic review of existing KGE techniques based on representation spaces. Particularly, we build a fine-grained classification to categorise the models based on three mathematical perspectives of the representation spaces: (1) Algebraic perspective, (2) Geometric perspective, and (3) Analy"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.03536","kind":"arxiv","version":2},"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/2211.03536/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":"2026-07-05T07:00:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LmI2gXpcPXHGJCNQ7cMiQ7bLkf9n5470TuZBGfGBB9vAuDfOlDrT6NAA3FEovuNkPK9inSiZsNShZSu8Dgo6AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T00:39:47.255216Z"},"content_sha256":"917402aee1de7899b287c36c91ece4093d5ac081cc819f2622645ce571cb4fda","schema_version":"1.0","event_id":"sha256:917402aee1de7899b287c36c91ece4093d5ac081cc819f2622645ce571cb4fda"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/T2R2E5EARYIPCLIMZK4TW4AIBR/bundle.json","state_url":"https://pith.science/pith/T2R2E5EARYIPCLIMZK4TW4AIBR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/T2R2E5EARYIPCLIMZK4TW4AIBR/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":"2026-08-08T00:39:47Z","links":{"resolver":"https://pith.science/pith/T2R2E5EARYIPCLIMZK4TW4AIBR","bundle":"https://pith.science/pith/T2R2E5EARYIPCLIMZK4TW4AIBR/bundle.json","state":"https://pith.science/pith/T2R2E5EARYIPCLIMZK4TW4AIBR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/T2R2E5EARYIPCLIMZK4TW4AIBR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:T2R2E5EARYIPCLIMZK4TW4AIBR","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":"e0a9e43e1ad3a1e3163ee71844e9a1d5a1f347adf9d25f7fdd2bdded180c8c39","cross_cats_sorted":["cs.AI","cs.CL","cs.IR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-11-07T13:22:28Z","title_canon_sha256":"97e9f4031b99549055cc96e34a7d4272beeb64a809c02b06fed7e0db94e1cbd8"},"schema_version":"1.0","source":{"id":"2211.03536","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.03536","created_at":"2026-07-05T07:00:57Z"},{"alias_kind":"arxiv_version","alias_value":"2211.03536v2","created_at":"2026-07-05T07:00:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.03536","created_at":"2026-07-05T07:00:57Z"},{"alias_kind":"pith_short_12","alias_value":"T2R2E5EARYIP","created_at":"2026-07-05T07:00:57Z"},{"alias_kind":"pith_short_16","alias_value":"T2R2E5EARYIPCLIM","created_at":"2026-07-05T07:00:57Z"},{"alias_kind":"pith_short_8","alias_value":"T2R2E5EA","created_at":"2026-07-05T07:00:57Z"}],"graph_snapshots":[{"event_id":"sha256:917402aee1de7899b287c36c91ece4093d5ac081cc819f2622645ce571cb4fda","target":"graph","created_at":"2026-07-05T07:00:57Z","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/2211.03536/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Knowledge graph embedding (KGE) is an increasingly popular technique that aims to represent entities and relations of knowledge graphs into low-dimensional semantic spaces for a wide spectrum of applications such as link prediction, knowledge reasoning and knowledge completion. In this paper, we provide a systematic review of existing KGE techniques based on representation spaces. Particularly, we build a fine-grained classification to categorise the models based on three mathematical perspectives of the representation spaces: (1) Algebraic perspective, (2) Geometric perspective, and (3) Analy","authors_text":"Jiahang Cao, Jinyuan Fang, Shangsong Liang, Zaiqiao Meng","cross_cats":["cs.AI","cs.CL","cs.IR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-11-07T13:22:28Z","title":"Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.03536","kind":"arxiv","version":2},"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:d2305916cd5b741d8fac851ebc5cab55656d5918db29d22336a5eea9e4880ccf","target":"record","created_at":"2026-07-05T07:00:57Z","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":"e0a9e43e1ad3a1e3163ee71844e9a1d5a1f347adf9d25f7fdd2bdded180c8c39","cross_cats_sorted":["cs.AI","cs.CL","cs.IR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-11-07T13:22:28Z","title_canon_sha256":"97e9f4031b99549055cc96e34a7d4272beeb64a809c02b06fed7e0db94e1cbd8"},"schema_version":"1.0","source":{"id":"2211.03536","kind":"arxiv","version":2}},"canonical_sha256":"9ea3a274808e10f12d0ccab93b70080c5ee70c6b267f67bcd31330a58a2131b9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9ea3a274808e10f12d0ccab93b70080c5ee70c6b267f67bcd31330a58a2131b9","first_computed_at":"2026-07-05T07:00:57.413919Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:00:57.413919Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7w9uW7ks3sVxBv4+fhFx9I0tOyAtaHDIULN21NXU3xVlMdxf28HxVawiDZafWNNdaT/YdOTmSQc60LB1nQ7jCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:00:57.414421Z","signed_message":"canonical_sha256_bytes"},"source_id":"2211.03536","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d2305916cd5b741d8fac851ebc5cab55656d5918db29d22336a5eea9e4880ccf","sha256:917402aee1de7899b287c36c91ece4093d5ac081cc819f2622645ce571cb4fda"],"state_sha256":"aabdad4c5d7753e83a3d6ed83e81374d7bc90804ef656361bf838adca976a96b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"i8fTIffP8/lL1L0sRo/gIWV2Hql73uKXDZKp1RvEgnF8CsH2utKyHHaK/0tQeECZzT2GjB9KWXPIThQMLh5GBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T00:39:47.263889Z","bundle_sha256":"05d6ac3082372e5323f91d01a7d945d1c5f0d8d3e2a6148d0a8183b3d3945d37"}}