{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:PXNWIRDQVMTH75QPVRFCBWXF5S","short_pith_number":"pith:PXNWIRDQ","canonical_record":{"source":{"id":"2412.14801","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-19T12:47:21Z","cross_cats_sorted":[],"title_canon_sha256":"778234358cee95482f8a07f84c50ec30a266a46818cd9d2f510a558bf70d91dc","abstract_canon_sha256":"6e6cd62f8d477ebf4806e79e01769609de0c637eaf48618d416e9437247d053f"},"schema_version":"1.0"},"canonical_sha256":"7ddb644470ab267ff60fac4a20dae5eca2fd640a703df29051cff72fc9813c97","source":{"kind":"arxiv","id":"2412.14801","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.14801","created_at":"2026-07-05T09:51:53Z"},{"alias_kind":"arxiv_version","alias_value":"2412.14801v1","created_at":"2026-07-05T09:51:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.14801","created_at":"2026-07-05T09:51:53Z"},{"alias_kind":"pith_short_12","alias_value":"PXNWIRDQVMTH","created_at":"2026-07-05T09:51:53Z"},{"alias_kind":"pith_short_16","alias_value":"PXNWIRDQVMTH75QP","created_at":"2026-07-05T09:51:53Z"},{"alias_kind":"pith_short_8","alias_value":"PXNWIRDQ","created_at":"2026-07-05T09:51:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:PXNWIRDQVMTH75QPVRFCBWXF5S","target":"record","payload":{"canonical_record":{"source":{"id":"2412.14801","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-19T12:47:21Z","cross_cats_sorted":[],"title_canon_sha256":"778234358cee95482f8a07f84c50ec30a266a46818cd9d2f510a558bf70d91dc","abstract_canon_sha256":"6e6cd62f8d477ebf4806e79e01769609de0c637eaf48618d416e9437247d053f"},"schema_version":"1.0"},"canonical_sha256":"7ddb644470ab267ff60fac4a20dae5eca2fd640a703df29051cff72fc9813c97","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:51:53.050848Z","signature_b64":"YQ4s3fNcUg4wfDEwtJcpCpg+sA4KDz5OaoEC2G1MynrrG7e8LnFlRGZR46TtVw7yzk2tdKQbylAHpLyzmtfvDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7ddb644470ab267ff60fac4a20dae5eca2fd640a703df29051cff72fc9813c97","last_reissued_at":"2026-07-05T09:51:53.050364Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:51:53.050364Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.14801","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":"2026-07-05T09:51:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xEtEuBFioAyYt7dppyKAI8YSYxU563BGntGxmakysSjPbAqKrpIBgSrqMc/0/CqZZ0C179X3nR7391gI3kkzAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T15:03:47.857904Z"},"content_sha256":"a0de5e75a5790b48929c0895675268b256cb39dc61f30effa0d7917b9fb20d62","schema_version":"1.0","event_id":"sha256:a0de5e75a5790b48929c0895675268b256cb39dc61f30effa0d7917b9fb20d62"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:PXNWIRDQVMTH75QPVRFCBWXF5S","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Extending TWIG: Zero-Shot Predictive Hyperparameter Selection for KGEs based on Graph Structure","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Declan O'Sullivan, Jeffrey Sardina, John D. Kelleher","submitted_at":"2024-12-19T12:47:21Z","abstract_excerpt":"Knowledge Graphs (KGs) have seen increasing use across various domains -- from biomedicine and linguistics to general knowledge modelling. In order to facilitate the analysis of knowledge graphs, Knowledge Graph Embeddings (KGEs) have been developed to automatically analyse KGs and predict new facts based on the information in a KG, a task called \"link prediction\". Many existing studies have documented that the structure of a KG, KGE model components, and KGE hyperparameters can significantly change how well KGEs perform and what relationships they are able to learn. Recently, the Topologicall"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.14801","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/2412.14801/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":"2026-07-05T09:51:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ESJMZqfEysjmffixV6fqUBtPlymzz2+myETtcqsqqHYXWkHuhDKs96ko8J/F1DGFfqICy2M4M/Mv/OsMPoKYAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T15:03:47.859090Z"},"content_sha256":"60b3d36bb88eb8c4d1fcc28f8a19ee4682bbf13d8bfa008a6939cf0413a1dc27","schema_version":"1.0","event_id":"sha256:60b3d36bb88eb8c4d1fcc28f8a19ee4682bbf13d8bfa008a6939cf0413a1dc27"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PXNWIRDQVMTH75QPVRFCBWXF5S/bundle.json","state_url":"https://pith.science/pith/PXNWIRDQVMTH75QPVRFCBWXF5S/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PXNWIRDQVMTH75QPVRFCBWXF5S/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":"2026-08-17T15:03:47Z","links":{"resolver":"https://pith.science/pith/PXNWIRDQVMTH75QPVRFCBWXF5S","bundle":"https://pith.science/pith/PXNWIRDQVMTH75QPVRFCBWXF5S/bundle.json","state":"https://pith.science/pith/PXNWIRDQVMTH75QPVRFCBWXF5S/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PXNWIRDQVMTH75QPVRFCBWXF5S/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:PXNWIRDQVMTH75QPVRFCBWXF5S","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":"6e6cd62f8d477ebf4806e79e01769609de0c637eaf48618d416e9437247d053f","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-19T12:47:21Z","title_canon_sha256":"778234358cee95482f8a07f84c50ec30a266a46818cd9d2f510a558bf70d91dc"},"schema_version":"1.0","source":{"id":"2412.14801","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.14801","created_at":"2026-07-05T09:51:53Z"},{"alias_kind":"arxiv_version","alias_value":"2412.14801v1","created_at":"2026-07-05T09:51:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.14801","created_at":"2026-07-05T09:51:53Z"},{"alias_kind":"pith_short_12","alias_value":"PXNWIRDQVMTH","created_at":"2026-07-05T09:51:53Z"},{"alias_kind":"pith_short_16","alias_value":"PXNWIRDQVMTH75QP","created_at":"2026-07-05T09:51:53Z"},{"alias_kind":"pith_short_8","alias_value":"PXNWIRDQ","created_at":"2026-07-05T09:51:53Z"}],"graph_snapshots":[{"event_id":"sha256:60b3d36bb88eb8c4d1fcc28f8a19ee4682bbf13d8bfa008a6939cf0413a1dc27","target":"graph","created_at":"2026-07-05T09:51:53Z","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/2412.14801/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Knowledge Graphs (KGs) have seen increasing use across various domains -- from biomedicine and linguistics to general knowledge modelling. In order to facilitate the analysis of knowledge graphs, Knowledge Graph Embeddings (KGEs) have been developed to automatically analyse KGs and predict new facts based on the information in a KG, a task called \"link prediction\". Many existing studies have documented that the structure of a KG, KGE model components, and KGE hyperparameters can significantly change how well KGEs perform and what relationships they are able to learn. Recently, the Topologicall","authors_text":"Declan O'Sullivan, Jeffrey Sardina, John D. Kelleher","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-19T12:47:21Z","title":"Extending TWIG: Zero-Shot Predictive Hyperparameter Selection for KGEs based on Graph Structure"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.14801","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:a0de5e75a5790b48929c0895675268b256cb39dc61f30effa0d7917b9fb20d62","target":"record","created_at":"2026-07-05T09:51:53Z","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":"6e6cd62f8d477ebf4806e79e01769609de0c637eaf48618d416e9437247d053f","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-19T12:47:21Z","title_canon_sha256":"778234358cee95482f8a07f84c50ec30a266a46818cd9d2f510a558bf70d91dc"},"schema_version":"1.0","source":{"id":"2412.14801","kind":"arxiv","version":1}},"canonical_sha256":"7ddb644470ab267ff60fac4a20dae5eca2fd640a703df29051cff72fc9813c97","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7ddb644470ab267ff60fac4a20dae5eca2fd640a703df29051cff72fc9813c97","first_computed_at":"2026-07-05T09:51:53.050364Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:51:53.050364Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YQ4s3fNcUg4wfDEwtJcpCpg+sA4KDz5OaoEC2G1MynrrG7e8LnFlRGZR46TtVw7yzk2tdKQbylAHpLyzmtfvDA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:51:53.050848Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.14801","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a0de5e75a5790b48929c0895675268b256cb39dc61f30effa0d7917b9fb20d62","sha256:60b3d36bb88eb8c4d1fcc28f8a19ee4682bbf13d8bfa008a6939cf0413a1dc27"],"state_sha256":"6c912ec930b115b1b0b8ef6f74222307ce03f8e5c5ba3a87f1e0ba8f07c7f471"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wmH6CKBx1Rgd16L3DdLkPJeSAmlnGgr2YclBtB5/kc61BW0SahAxEyYKkVe0G6eXVjrC18dMT9SS6HI++soDAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T15:03:47.866169Z","bundle_sha256":"a6c7f2fde3121f5d2c851008088f683d4cdccf849c900c3c197a054c8d8421af"}}