{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:2PTWVGSM5OMFCQQORQCIKPCWZW","short_pith_number":"pith:2PTWVGSM","canonical_record":{"source":{"id":"2104.08167","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-04-16T15:26:41Z","cross_cats_sorted":[],"title_canon_sha256":"8b5dc8b29d0fc50f9921ad285b6869995dc166aba4db1ebe5334f1062d378e7d","abstract_canon_sha256":"6597d28e46a9aa8991e007605ac6bbe0d9eb72f3a5c6ea2a7308e66e9896d1a7"},"schema_version":"1.0"},"canonical_sha256":"d3e76a9a4ceb9851420e8c04853c56cd917dc460cc835a751ba230c180341b85","source":{"kind":"arxiv","id":"2104.08167","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2104.08167","created_at":"2026-07-05T02:32:41Z"},{"alias_kind":"arxiv_version","alias_value":"2104.08167v1","created_at":"2026-07-05T02:32:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2104.08167","created_at":"2026-07-05T02:32:41Z"},{"alias_kind":"pith_short_12","alias_value":"2PTWVGSM5OMF","created_at":"2026-07-05T02:32:41Z"},{"alias_kind":"pith_short_16","alias_value":"2PTWVGSM5OMFCQQO","created_at":"2026-07-05T02:32:41Z"},{"alias_kind":"pith_short_8","alias_value":"2PTWVGSM","created_at":"2026-07-05T02:32:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:2PTWVGSM5OMFCQQORQCIKPCWZW","target":"record","payload":{"canonical_record":{"source":{"id":"2104.08167","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-04-16T15:26:41Z","cross_cats_sorted":[],"title_canon_sha256":"8b5dc8b29d0fc50f9921ad285b6869995dc166aba4db1ebe5334f1062d378e7d","abstract_canon_sha256":"6597d28e46a9aa8991e007605ac6bbe0d9eb72f3a5c6ea2a7308e66e9896d1a7"},"schema_version":"1.0"},"canonical_sha256":"d3e76a9a4ceb9851420e8c04853c56cd917dc460cc835a751ba230c180341b85","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:32:41.620298Z","signature_b64":"whkJBP9GwFRFP9kiUM8UB45MHgsfeRicQvGbazr4hFWE8qTky096Waz7PJybK4Ntc3l8i9/tTJGy3QFAU+8CAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d3e76a9a4ceb9851420e8c04853c56cd917dc460cc835a751ba230c180341b85","last_reissued_at":"2026-07-05T02:32:41.619891Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:32:41.619891Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2104.08167","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":"2026-07-05T02:32:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WlGsyNeW2Hk27LYl85kgqCnZagSqA00Z9A8YthA2HS4ZVqf22KfbZZqa//G4ROaJDb9/olvtNVJrwUT9LufdCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T08:32:11.011516Z"},"content_sha256":"98752927a92559afb2236c5a82fcd5aab683157750aa8d232ee41526fda65fa1","schema_version":"1.0","event_id":"sha256:98752927a92559afb2236c5a82fcd5aab683157750aa8d232ee41526fda65fa1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:2PTWVGSM5OMFCQQORQCIKPCWZW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Improving Hyper-Relational Knowledge Graph Completion","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Donghan Yu, Yiming Yang","submitted_at":"2021-04-16T15:26:41Z","abstract_excerpt":"Different from traditional knowledge graphs (KGs) where facts are represented as entity-relation-entity triplets, hyper-relational KGs (HKGs) allow triplets to be associated with additional relation-entity pairs (a.k.a qualifiers) to convey more complex information. How to effectively and efficiently model the triplet-qualifier relationship for prediction tasks such as HKG completion is an open challenge for research. This paper proposes to improve the best-performing method in HKG completion, namely STARE, by introducing two novel revisions: (1) Replacing the computation-heavy graph neural ne"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2104.08167","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/2104.08167/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":"2026-07-05T02:32:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"d7sSl9oGBcHl3q98Hoz/u10xOZe9cAVOBiFChEoSaE1H0iguLL9OeUNrD5JxKf58pYTcypqBN5G4BgZIKS/MBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T08:32:11.012013Z"},"content_sha256":"fd9d05d905e83e190e24dd5ee2e62101efe35ba225b79c28cd7b98ae0b2700ad","schema_version":"1.0","event_id":"sha256:fd9d05d905e83e190e24dd5ee2e62101efe35ba225b79c28cd7b98ae0b2700ad"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2PTWVGSM5OMFCQQORQCIKPCWZW/bundle.json","state_url":"https://pith.science/pith/2PTWVGSM5OMFCQQORQCIKPCWZW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2PTWVGSM5OMFCQQORQCIKPCWZW/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":"2026-08-08T08:32:11Z","links":{"resolver":"https://pith.science/pith/2PTWVGSM5OMFCQQORQCIKPCWZW","bundle":"https://pith.science/pith/2PTWVGSM5OMFCQQORQCIKPCWZW/bundle.json","state":"https://pith.science/pith/2PTWVGSM5OMFCQQORQCIKPCWZW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2PTWVGSM5OMFCQQORQCIKPCWZW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:2PTWVGSM5OMFCQQORQCIKPCWZW","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":"6597d28e46a9aa8991e007605ac6bbe0d9eb72f3a5c6ea2a7308e66e9896d1a7","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-04-16T15:26:41Z","title_canon_sha256":"8b5dc8b29d0fc50f9921ad285b6869995dc166aba4db1ebe5334f1062d378e7d"},"schema_version":"1.0","source":{"id":"2104.08167","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2104.08167","created_at":"2026-07-05T02:32:41Z"},{"alias_kind":"arxiv_version","alias_value":"2104.08167v1","created_at":"2026-07-05T02:32:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2104.08167","created_at":"2026-07-05T02:32:41Z"},{"alias_kind":"pith_short_12","alias_value":"2PTWVGSM5OMF","created_at":"2026-07-05T02:32:41Z"},{"alias_kind":"pith_short_16","alias_value":"2PTWVGSM5OMFCQQO","created_at":"2026-07-05T02:32:41Z"},{"alias_kind":"pith_short_8","alias_value":"2PTWVGSM","created_at":"2026-07-05T02:32:41Z"}],"graph_snapshots":[{"event_id":"sha256:fd9d05d905e83e190e24dd5ee2e62101efe35ba225b79c28cd7b98ae0b2700ad","target":"graph","created_at":"2026-07-05T02:32:41Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2104.08167/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Different from traditional knowledge graphs (KGs) where facts are represented as entity-relation-entity triplets, hyper-relational KGs (HKGs) allow triplets to be associated with additional relation-entity pairs (a.k.a qualifiers) to convey more complex information. How to effectively and efficiently model the triplet-qualifier relationship for prediction tasks such as HKG completion is an open challenge for research. This paper proposes to improve the best-performing method in HKG completion, namely STARE, by introducing two novel revisions: (1) Replacing the computation-heavy graph neural ne","authors_text":"Donghan Yu, Yiming Yang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-04-16T15:26:41Z","title":"Improving Hyper-Relational Knowledge Graph Completion"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2104.08167","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":"sha256:98752927a92559afb2236c5a82fcd5aab683157750aa8d232ee41526fda65fa1","target":"record","created_at":"2026-07-05T02:32:41Z","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":"6597d28e46a9aa8991e007605ac6bbe0d9eb72f3a5c6ea2a7308e66e9896d1a7","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-04-16T15:26:41Z","title_canon_sha256":"8b5dc8b29d0fc50f9921ad285b6869995dc166aba4db1ebe5334f1062d378e7d"},"schema_version":"1.0","source":{"id":"2104.08167","kind":"arxiv","version":1}},"canonical_sha256":"d3e76a9a4ceb9851420e8c04853c56cd917dc460cc835a751ba230c180341b85","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d3e76a9a4ceb9851420e8c04853c56cd917dc460cc835a751ba230c180341b85","first_computed_at":"2026-07-05T02:32:41.619891Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:32:41.619891Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"whkJBP9GwFRFP9kiUM8UB45MHgsfeRicQvGbazr4hFWE8qTky096Waz7PJybK4Ntc3l8i9/tTJGy3QFAU+8CAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T02:32:41.620298Z","signed_message":"canonical_sha256_bytes"},"source_id":"2104.08167","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:98752927a92559afb2236c5a82fcd5aab683157750aa8d232ee41526fda65fa1","sha256:fd9d05d905e83e190e24dd5ee2e62101efe35ba225b79c28cd7b98ae0b2700ad"],"state_sha256":"384c1ddab9a3e5eb70ac1fdf500a22dad80cfaaabf75e130454df1747c2fb4c7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rEXpd3ro8JAfrtYLokbESEWz9SCkWcA/E7pYcaq51jliGA66CNz/Q1hM8UgH0rLz8+RPUKA/Xf/DPeAJJc34Dg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T08:32:11.016742Z","bundle_sha256":"1e5b018eea01a5e0014d858c2bf75580ce38c619350fd3e4cbccf4f1519f7206"}}