{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:SEEZU6XE22RWLKCM7OU5ELTXEB","short_pith_number":"pith:SEEZU6XE","canonical_record":{"source":{"id":"2306.07512","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-06-13T02:43:21Z","cross_cats_sorted":["cs.AI","cs.CL","cs.SI"],"title_canon_sha256":"7fcb0c30f81a2ca461d99fa877e196a0f63ca35ec16196181513eaffad02d991","abstract_canon_sha256":"b2e2e1d3da7cbdf3616c17888138283882c7a89f1206bff1c0fd03d1873578ea"},"schema_version":"1.0"},"canonical_sha256":"91099a7ae4d6a365a84cfba9d22e77205f7c37f4a40593c4f73f3000eeec6e62","source":{"kind":"arxiv","id":"2306.07512","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.07512","created_at":"2026-07-05T06:20:05Z"},{"alias_kind":"arxiv_version","alias_value":"2306.07512v1","created_at":"2026-07-05T06:20:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.07512","created_at":"2026-07-05T06:20:05Z"},{"alias_kind":"pith_short_12","alias_value":"SEEZU6XE22RW","created_at":"2026-07-05T06:20:05Z"},{"alias_kind":"pith_short_16","alias_value":"SEEZU6XE22RWLKCM","created_at":"2026-07-05T06:20:05Z"},{"alias_kind":"pith_short_8","alias_value":"SEEZU6XE","created_at":"2026-07-05T06:20:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:SEEZU6XE22RWLKCM7OU5ELTXEB","target":"record","payload":{"canonical_record":{"source":{"id":"2306.07512","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-06-13T02:43:21Z","cross_cats_sorted":["cs.AI","cs.CL","cs.SI"],"title_canon_sha256":"7fcb0c30f81a2ca461d99fa877e196a0f63ca35ec16196181513eaffad02d991","abstract_canon_sha256":"b2e2e1d3da7cbdf3616c17888138283882c7a89f1206bff1c0fd03d1873578ea"},"schema_version":"1.0"},"canonical_sha256":"91099a7ae4d6a365a84cfba9d22e77205f7c37f4a40593c4f73f3000eeec6e62","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:20:05.668221Z","signature_b64":"Layqi8FF6N5jAztBkLNQJtsqgyb6VVz5KKLA3QY2PCLnOWG0pjMTa8RvwukxYe9rPvX0cpGjvLr4KOSWeGKuDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"91099a7ae4d6a365a84cfba9d22e77205f7c37f4a40593c4f73f3000eeec6e62","last_reissued_at":"2026-07-05T06:20:05.667763Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:20:05.667763Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2306.07512","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":"2026-07-05T06:20:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LbMRzzN2mH1ezUTMbh8hM+asbQhPHCkuhuHMTfz1bHvNY6NcQGZK7USNvPxMianr/HkvJJhV0AU+c8/blSoqDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-10T03:12:24.472631Z"},"content_sha256":"39057b7b19bf2d6c7e6a430d1f31565cdfd61121afc43250b167816f83a74e38","schema_version":"1.0","event_id":"sha256:39057b7b19bf2d6c7e6a430d1f31565cdfd61121afc43250b167816f83a74e38"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:SEEZU6XE22RWLKCM7OU5ELTXEB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Noisy Positive-Unlabeled Learning with Self-Training for Speculative Knowledge Graph Reasoning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CL","cs.SI"],"primary_cat":"cs.LG","authors_text":"Baoyu Li, Dachun Sun, Hanghang Tong, Jinning Li, Ruijie Wang, Shengzhong Liu, Tarek F. Abdelzaher, Yichen Lu, Yuchen Yan","submitted_at":"2023-06-13T02:43:21Z","abstract_excerpt":"This paper studies speculative reasoning task on real-world knowledge graphs (KG) that contain both \\textit{false negative issue} (i.e., potential true facts being excluded) and \\textit{false positive issue} (i.e., unreliable or outdated facts being included). State-of-the-art methods fall short in the speculative reasoning ability, as they assume the correctness of a fact is solely determined by its presence in KG, making them vulnerable to false negative/positive issues. The new reasoning task is formulated as a noisy Positive-Unlabeled learning problem. We propose a variational framework, n"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.07512","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/2306.07512/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":"2026-07-05T06:20:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0c+UVVjW1uSBmrC17V5/Q1IQt0WHUrRvIgscLdfGYbPjfdUK9qj37z/8bck3DVp1hXPj4UMI2EEK5KFpaqYbDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-10T03:12:24.473046Z"},"content_sha256":"a17ea554928e220fcab45b79c6dfcf9645278bcca5f8be0bde58d68ca2d71c85","schema_version":"1.0","event_id":"sha256:a17ea554928e220fcab45b79c6dfcf9645278bcca5f8be0bde58d68ca2d71c85"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SEEZU6XE22RWLKCM7OU5ELTXEB/bundle.json","state_url":"https://pith.science/pith/SEEZU6XE22RWLKCM7OU5ELTXEB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SEEZU6XE22RWLKCM7OU5ELTXEB/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":"2026-07-10T03:12:24Z","links":{"resolver":"https://pith.science/pith/SEEZU6XE22RWLKCM7OU5ELTXEB","bundle":"https://pith.science/pith/SEEZU6XE22RWLKCM7OU5ELTXEB/bundle.json","state":"https://pith.science/pith/SEEZU6XE22RWLKCM7OU5ELTXEB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SEEZU6XE22RWLKCM7OU5ELTXEB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:SEEZU6XE22RWLKCM7OU5ELTXEB","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":"b2e2e1d3da7cbdf3616c17888138283882c7a89f1206bff1c0fd03d1873578ea","cross_cats_sorted":["cs.AI","cs.CL","cs.SI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-06-13T02:43:21Z","title_canon_sha256":"7fcb0c30f81a2ca461d99fa877e196a0f63ca35ec16196181513eaffad02d991"},"schema_version":"1.0","source":{"id":"2306.07512","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.07512","created_at":"2026-07-05T06:20:05Z"},{"alias_kind":"arxiv_version","alias_value":"2306.07512v1","created_at":"2026-07-05T06:20:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.07512","created_at":"2026-07-05T06:20:05Z"},{"alias_kind":"pith_short_12","alias_value":"SEEZU6XE22RW","created_at":"2026-07-05T06:20:05Z"},{"alias_kind":"pith_short_16","alias_value":"SEEZU6XE22RWLKCM","created_at":"2026-07-05T06:20:05Z"},{"alias_kind":"pith_short_8","alias_value":"SEEZU6XE","created_at":"2026-07-05T06:20:05Z"}],"graph_snapshots":[{"event_id":"sha256:a17ea554928e220fcab45b79c6dfcf9645278bcca5f8be0bde58d68ca2d71c85","target":"graph","created_at":"2026-07-05T06:20:05Z","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/2306.07512/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper studies speculative reasoning task on real-world knowledge graphs (KG) that contain both \\textit{false negative issue} (i.e., potential true facts being excluded) and \\textit{false positive issue} (i.e., unreliable or outdated facts being included). State-of-the-art methods fall short in the speculative reasoning ability, as they assume the correctness of a fact is solely determined by its presence in KG, making them vulnerable to false negative/positive issues. The new reasoning task is formulated as a noisy Positive-Unlabeled learning problem. We propose a variational framework, n","authors_text":"Baoyu Li, Dachun Sun, Hanghang Tong, Jinning Li, Ruijie Wang, Shengzhong Liu, Tarek F. Abdelzaher, Yichen Lu, Yuchen Yan","cross_cats":["cs.AI","cs.CL","cs.SI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-06-13T02:43:21Z","title":"Noisy Positive-Unlabeled Learning with Self-Training for Speculative Knowledge Graph Reasoning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.07512","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":"sha256:39057b7b19bf2d6c7e6a430d1f31565cdfd61121afc43250b167816f83a74e38","target":"record","created_at":"2026-07-05T06:20:05Z","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":"b2e2e1d3da7cbdf3616c17888138283882c7a89f1206bff1c0fd03d1873578ea","cross_cats_sorted":["cs.AI","cs.CL","cs.SI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-06-13T02:43:21Z","title_canon_sha256":"7fcb0c30f81a2ca461d99fa877e196a0f63ca35ec16196181513eaffad02d991"},"schema_version":"1.0","source":{"id":"2306.07512","kind":"arxiv","version":1}},"canonical_sha256":"91099a7ae4d6a365a84cfba9d22e77205f7c37f4a40593c4f73f3000eeec6e62","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"91099a7ae4d6a365a84cfba9d22e77205f7c37f4a40593c4f73f3000eeec6e62","first_computed_at":"2026-07-05T06:20:05.667763Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:20:05.667763Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Layqi8FF6N5jAztBkLNQJtsqgyb6VVz5KKLA3QY2PCLnOWG0pjMTa8RvwukxYe9rPvX0cpGjvLr4KOSWeGKuDw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:20:05.668221Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.07512","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:39057b7b19bf2d6c7e6a430d1f31565cdfd61121afc43250b167816f83a74e38","sha256:a17ea554928e220fcab45b79c6dfcf9645278bcca5f8be0bde58d68ca2d71c85"],"state_sha256":"3d381f1d66790fa79ac5fa2b124e8b352ebbe1add60793901f7fe0fd8baa16f3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MFTtNmC/aqEgvL1soVp8pKY9Ktikp4+SkvV8tBtoXi/Ofyzm9ARYba+xTlFL+pdQjfDEaTN0FVjkeVCu82+zCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-10T03:12:24.474992Z","bundle_sha256":"ea9cebad887f3a38668889aea4ab43c293f62a8631a155f8ecbcf377537b5122"}}