{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:MC5HZOMNSFC4OFKKN2RJGN74VH","short_pith_number":"pith:MC5HZOMN","canonical_record":{"source":{"id":"2110.13715","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2021-10-26T14:04:02Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"422d7a26e2779512a789148ed454c890879f6d801a46c74be575698028b66ded","abstract_canon_sha256":"0a8472a15abb5947ae291d56e343ef7a4423c1dff042a386b55e8d449e25c1bd"},"schema_version":"1.0"},"canonical_sha256":"60ba7cb98d9145c7154a6ea29337fca9ebd11c532de00f12aa7a9d6ce0dc400a","source":{"kind":"arxiv","id":"2110.13715","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2110.13715","created_at":"2026-07-05T03:43:05Z"},{"alias_kind":"arxiv_version","alias_value":"2110.13715v2","created_at":"2026-07-05T03:43:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2110.13715","created_at":"2026-07-05T03:43:05Z"},{"alias_kind":"pith_short_12","alias_value":"MC5HZOMNSFC4","created_at":"2026-07-05T03:43:05Z"},{"alias_kind":"pith_short_16","alias_value":"MC5HZOMNSFC4OFKK","created_at":"2026-07-05T03:43:05Z"},{"alias_kind":"pith_short_8","alias_value":"MC5HZOMN","created_at":"2026-07-05T03:43:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:MC5HZOMNSFC4OFKKN2RJGN74VH","target":"record","payload":{"canonical_record":{"source":{"id":"2110.13715","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2021-10-26T14:04:02Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"422d7a26e2779512a789148ed454c890879f6d801a46c74be575698028b66ded","abstract_canon_sha256":"0a8472a15abb5947ae291d56e343ef7a4423c1dff042a386b55e8d449e25c1bd"},"schema_version":"1.0"},"canonical_sha256":"60ba7cb98d9145c7154a6ea29337fca9ebd11c532de00f12aa7a9d6ce0dc400a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:43:05.650178Z","signature_b64":"0o5InpI0sqXr7BZfbyylEX3JIXNHtjoVoMh/sjG2sXCc2JVVTBZnwCOkj0iausyEaIO/kcw7sXdN0wJzMwj0Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"60ba7cb98d9145c7154a6ea29337fca9ebd11c532de00f12aa7a9d6ce0dc400a","last_reissued_at":"2026-07-05T03:43:05.649686Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:43:05.649686Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2110.13715","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":"2026-07-05T03:43:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dp3ma9Ea9BBHs/G7kZ9j00Y5mcaw6qk2V5RXV5ZB/W2MWUwt8BvwIxaH0/0+OfESgVIa0krk8Vo3Mt7Y3tmxDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T17:51:12.913042Z"},"content_sha256":"73e978626ad79f692fa3cd77f5d02fcb0e82d4541567aabd04355bbf18c1d613","schema_version":"1.0","event_id":"sha256:73e978626ad79f692fa3cd77f5d02fcb0e82d4541567aabd04355bbf18c1d613"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:MC5HZOMNSFC4OFKKN2RJGN74VH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ConE: Cone Embeddings for Multi-Hop Reasoning over Knowledge Graphs","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.AI","authors_text":"Feng Wu, Jiajun Chen, Jie Wang, Shuiwang Ji, Zhanqiu Zhang","submitted_at":"2021-10-26T14:04:02Z","abstract_excerpt":"Query embedding (QE) -- which aims to embed entities and first-order logical (FOL) queries in low-dimensional spaces -- has shown great power in multi-hop reasoning over knowledge graphs. Recently, embedding entities and queries with geometric shapes becomes a promising direction, as geometric shapes can naturally represent answer sets of queries and logical relationships among them. However, existing geometry-based models have difficulty in modeling queries with negation, which significantly limits their applicability. To address this challenge, we propose a novel query embedding model, namel"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2110.13715","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/2110.13715/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":"2026-07-05T03:43:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OfW0KOh/Me28CfneOOkoscQsrTgQmyXSdQeAWEwk0Z3dvry4sCQ/hoUthvryx0vq9tSsiu2XZLrqSpOHfBP8Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T17:51:12.913917Z"},"content_sha256":"2a36119fc3953fd5e8af23343e6201a5aedcb886a8216862d1caab79d16543c5","schema_version":"1.0","event_id":"sha256:2a36119fc3953fd5e8af23343e6201a5aedcb886a8216862d1caab79d16543c5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MC5HZOMNSFC4OFKKN2RJGN74VH/bundle.json","state_url":"https://pith.science/pith/MC5HZOMNSFC4OFKKN2RJGN74VH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MC5HZOMNSFC4OFKKN2RJGN74VH/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":"2026-08-11T17:51:12Z","links":{"resolver":"https://pith.science/pith/MC5HZOMNSFC4OFKKN2RJGN74VH","bundle":"https://pith.science/pith/MC5HZOMNSFC4OFKKN2RJGN74VH/bundle.json","state":"https://pith.science/pith/MC5HZOMNSFC4OFKKN2RJGN74VH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MC5HZOMNSFC4OFKKN2RJGN74VH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:MC5HZOMNSFC4OFKKN2RJGN74VH","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":"0a8472a15abb5947ae291d56e343ef7a4423c1dff042a386b55e8d449e25c1bd","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2021-10-26T14:04:02Z","title_canon_sha256":"422d7a26e2779512a789148ed454c890879f6d801a46c74be575698028b66ded"},"schema_version":"1.0","source":{"id":"2110.13715","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2110.13715","created_at":"2026-07-05T03:43:05Z"},{"alias_kind":"arxiv_version","alias_value":"2110.13715v2","created_at":"2026-07-05T03:43:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2110.13715","created_at":"2026-07-05T03:43:05Z"},{"alias_kind":"pith_short_12","alias_value":"MC5HZOMNSFC4","created_at":"2026-07-05T03:43:05Z"},{"alias_kind":"pith_short_16","alias_value":"MC5HZOMNSFC4OFKK","created_at":"2026-07-05T03:43:05Z"},{"alias_kind":"pith_short_8","alias_value":"MC5HZOMN","created_at":"2026-07-05T03:43:05Z"}],"graph_snapshots":[{"event_id":"sha256:2a36119fc3953fd5e8af23343e6201a5aedcb886a8216862d1caab79d16543c5","target":"graph","created_at":"2026-07-05T03:43:05Z","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/2110.13715/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Query embedding (QE) -- which aims to embed entities and first-order logical (FOL) queries in low-dimensional spaces -- has shown great power in multi-hop reasoning over knowledge graphs. Recently, embedding entities and queries with geometric shapes becomes a promising direction, as geometric shapes can naturally represent answer sets of queries and logical relationships among them. However, existing geometry-based models have difficulty in modeling queries with negation, which significantly limits their applicability. To address this challenge, we propose a novel query embedding model, namel","authors_text":"Feng Wu, Jiajun Chen, Jie Wang, Shuiwang Ji, Zhanqiu Zhang","cross_cats":["cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2021-10-26T14:04:02Z","title":"ConE: Cone Embeddings for Multi-Hop Reasoning over Knowledge Graphs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2110.13715","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":"sha256:73e978626ad79f692fa3cd77f5d02fcb0e82d4541567aabd04355bbf18c1d613","target":"record","created_at":"2026-07-05T03:43:05Z","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":"0a8472a15abb5947ae291d56e343ef7a4423c1dff042a386b55e8d449e25c1bd","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2021-10-26T14:04:02Z","title_canon_sha256":"422d7a26e2779512a789148ed454c890879f6d801a46c74be575698028b66ded"},"schema_version":"1.0","source":{"id":"2110.13715","kind":"arxiv","version":2}},"canonical_sha256":"60ba7cb98d9145c7154a6ea29337fca9ebd11c532de00f12aa7a9d6ce0dc400a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"60ba7cb98d9145c7154a6ea29337fca9ebd11c532de00f12aa7a9d6ce0dc400a","first_computed_at":"2026-07-05T03:43:05.649686Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:43:05.649686Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0o5InpI0sqXr7BZfbyylEX3JIXNHtjoVoMh/sjG2sXCc2JVVTBZnwCOkj0iausyEaIO/kcw7sXdN0wJzMwj0Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T03:43:05.650178Z","signed_message":"canonical_sha256_bytes"},"source_id":"2110.13715","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:73e978626ad79f692fa3cd77f5d02fcb0e82d4541567aabd04355bbf18c1d613","sha256:2a36119fc3953fd5e8af23343e6201a5aedcb886a8216862d1caab79d16543c5"],"state_sha256":"48dac5cb46dfeddf415fc85b854f2c6484b0331ed89d375f5973c52d69a8d84f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+AMz+tpvxMPEr9gKl6jhxy0B4s6mhVZVfSRaRWY7VVCK5OE6ZCGU20mQAlgvsaaK2vsO27nA94biljpfXekPBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T17:51:12.921094Z","bundle_sha256":"0fda555249f06a58fa0c0bf046d88c5dcddcb78ad9b29a807d0425a7b33d8eb5"}}