{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:BP6OFSNFX7XQWJCA773EZTZBYP","short_pith_number":"pith:BP6OFSNF","canonical_record":{"source":{"id":"2112.15319","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-12-31T06:34:32Z","cross_cats_sorted":[],"title_canon_sha256":"bcfa3f64d878f6eda77d18dfcd79b5bd78877cae9ae2380deeacc589cb926053","abstract_canon_sha256":"2eb1989d78a7879a3831f5b865fa685e2388b912d91ee1a69a279786721b2c01"},"schema_version":"1.0"},"canonical_sha256":"0bfce2c9a5bfef0b2440fff64ccf21c3ebd9c4ae4e64af07eab649616621635b","source":{"kind":"arxiv","id":"2112.15319","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2112.15319","created_at":"2026-07-05T05:47:32Z"},{"alias_kind":"arxiv_version","alias_value":"2112.15319v3","created_at":"2026-07-05T05:47:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2112.15319","created_at":"2026-07-05T05:47:32Z"},{"alias_kind":"pith_short_12","alias_value":"BP6OFSNFX7XQ","created_at":"2026-07-05T05:47:32Z"},{"alias_kind":"pith_short_16","alias_value":"BP6OFSNFX7XQWJCA","created_at":"2026-07-05T05:47:32Z"},{"alias_kind":"pith_short_8","alias_value":"BP6OFSNF","created_at":"2026-07-05T05:47:32Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:BP6OFSNFX7XQWJCA773EZTZBYP","target":"record","payload":{"canonical_record":{"source":{"id":"2112.15319","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-12-31T06:34:32Z","cross_cats_sorted":[],"title_canon_sha256":"bcfa3f64d878f6eda77d18dfcd79b5bd78877cae9ae2380deeacc589cb926053","abstract_canon_sha256":"2eb1989d78a7879a3831f5b865fa685e2388b912d91ee1a69a279786721b2c01"},"schema_version":"1.0"},"canonical_sha256":"0bfce2c9a5bfef0b2440fff64ccf21c3ebd9c4ae4e64af07eab649616621635b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:47:32.561703Z","signature_b64":"bTXEa6JuL0meIs7mFInL9RiNCyc8ZcQoHGq0JJK/jyCW8t0hb0xVOPWBjAYg0B8/r3ValZK/+sQbv6+I8Mz6AA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0bfce2c9a5bfef0b2440fff64ccf21c3ebd9c4ae4e64af07eab649616621635b","last_reissued_at":"2026-07-05T05:47:32.561187Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:47:32.561187Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2112.15319","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:47:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cSHDBMir5ibWovjS0CpNoYv+UMiK5Iw9r2WADaovUkSMHsY+mERMiYRQgT97WX8YhFuQHtK9oKCvr0J9uHH3AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T00:23:50.672416Z"},"content_sha256":"ce24b6bd1bfbcb2593fbe8160c52932f06dfb7bff523451b8440b82035b6cdf3","schema_version":"1.0","event_id":"sha256:ce24b6bd1bfbcb2593fbe8160c52932f06dfb7bff523451b8440b82035b6cdf3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:BP6OFSNFX7XQWJCA773EZTZBYP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Critical Review of Inductive Logic Programming Techniques for Explainable AI","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Bo Liu, Levent Yilmaz, Liangliang Xu, Zheng Zhang","submitted_at":"2021-12-31T06:34:32Z","abstract_excerpt":"Despite recent advances in modern machine learning algorithms, the opaqueness of their underlying mechanisms continues to be an obstacle in adoption. To instill confidence and trust in artificial intelligence systems, Explainable Artificial Intelligence has emerged as a response to improving modern machine learning algorithms' explainability. Inductive Logic Programming (ILP), a subfield of symbolic artificial intelligence, plays a promising role in generating interpretable explanations because of its intuitive logic-driven framework. ILP effectively leverages abductive reasoning to generate e"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2112.15319","kind":"arxiv","version":3},"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/2112.15319/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":"2026-07-05T05:47:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Xyh8UzdXA1sK2tglM8oAf2LGCS0Vw4GP19CpWTE1daUi43zI5ZnGiu5ZiHeztSEQC+fGCSxhYmojLo+0vQqbAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T00:23:50.672917Z"},"content_sha256":"5d166cadbdfa21aab4dc9bc40604437d0c3215e0c3df1cd622fe36a69015c70a","schema_version":"1.0","event_id":"sha256:5d166cadbdfa21aab4dc9bc40604437d0c3215e0c3df1cd622fe36a69015c70a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BP6OFSNFX7XQWJCA773EZTZBYP/bundle.json","state_url":"https://pith.science/pith/BP6OFSNFX7XQWJCA773EZTZBYP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BP6OFSNFX7XQWJCA773EZTZBYP/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":"2026-08-09T00:23:50Z","links":{"resolver":"https://pith.science/pith/BP6OFSNFX7XQWJCA773EZTZBYP","bundle":"https://pith.science/pith/BP6OFSNFX7XQWJCA773EZTZBYP/bundle.json","state":"https://pith.science/pith/BP6OFSNFX7XQWJCA773EZTZBYP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BP6OFSNFX7XQWJCA773EZTZBYP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:BP6OFSNFX7XQWJCA773EZTZBYP","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":"2eb1989d78a7879a3831f5b865fa685e2388b912d91ee1a69a279786721b2c01","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-12-31T06:34:32Z","title_canon_sha256":"bcfa3f64d878f6eda77d18dfcd79b5bd78877cae9ae2380deeacc589cb926053"},"schema_version":"1.0","source":{"id":"2112.15319","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2112.15319","created_at":"2026-07-05T05:47:32Z"},{"alias_kind":"arxiv_version","alias_value":"2112.15319v3","created_at":"2026-07-05T05:47:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2112.15319","created_at":"2026-07-05T05:47:32Z"},{"alias_kind":"pith_short_12","alias_value":"BP6OFSNFX7XQ","created_at":"2026-07-05T05:47:32Z"},{"alias_kind":"pith_short_16","alias_value":"BP6OFSNFX7XQWJCA","created_at":"2026-07-05T05:47:32Z"},{"alias_kind":"pith_short_8","alias_value":"BP6OFSNF","created_at":"2026-07-05T05:47:32Z"}],"graph_snapshots":[{"event_id":"sha256:5d166cadbdfa21aab4dc9bc40604437d0c3215e0c3df1cd622fe36a69015c70a","target":"graph","created_at":"2026-07-05T05:47:32Z","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/2112.15319/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Despite recent advances in modern machine learning algorithms, the opaqueness of their underlying mechanisms continues to be an obstacle in adoption. To instill confidence and trust in artificial intelligence systems, Explainable Artificial Intelligence has emerged as a response to improving modern machine learning algorithms' explainability. Inductive Logic Programming (ILP), a subfield of symbolic artificial intelligence, plays a promising role in generating interpretable explanations because of its intuitive logic-driven framework. ILP effectively leverages abductive reasoning to generate e","authors_text":"Bo Liu, Levent Yilmaz, Liangliang Xu, Zheng Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-12-31T06:34:32Z","title":"A Critical Review of Inductive Logic Programming Techniques for Explainable AI"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2112.15319","kind":"arxiv","version":3},"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:ce24b6bd1bfbcb2593fbe8160c52932f06dfb7bff523451b8440b82035b6cdf3","target":"record","created_at":"2026-07-05T05:47:32Z","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":"2eb1989d78a7879a3831f5b865fa685e2388b912d91ee1a69a279786721b2c01","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-12-31T06:34:32Z","title_canon_sha256":"bcfa3f64d878f6eda77d18dfcd79b5bd78877cae9ae2380deeacc589cb926053"},"schema_version":"1.0","source":{"id":"2112.15319","kind":"arxiv","version":3}},"canonical_sha256":"0bfce2c9a5bfef0b2440fff64ccf21c3ebd9c4ae4e64af07eab649616621635b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0bfce2c9a5bfef0b2440fff64ccf21c3ebd9c4ae4e64af07eab649616621635b","first_computed_at":"2026-07-05T05:47:32.561187Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:47:32.561187Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bTXEa6JuL0meIs7mFInL9RiNCyc8ZcQoHGq0JJK/jyCW8t0hb0xVOPWBjAYg0B8/r3ValZK/+sQbv6+I8Mz6AA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:47:32.561703Z","signed_message":"canonical_sha256_bytes"},"source_id":"2112.15319","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ce24b6bd1bfbcb2593fbe8160c52932f06dfb7bff523451b8440b82035b6cdf3","sha256:5d166cadbdfa21aab4dc9bc40604437d0c3215e0c3df1cd622fe36a69015c70a"],"state_sha256":"484a97894d52d28dc26e572c09d8cc1dca7e395df1fd31f920b5e0774bb3009e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wQnfmg3pUnP22Of6bzpiwmt1/tLGXFlgYCdKNXex75LOWeAugKh2UynCJ9Wl7yRj3ebFlGo++8OycfrflC6WAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T00:23:50.676681Z","bundle_sha256":"95edac258f752cbc8d15626922e0d2068b2c00915f4d015b0fb0da9fa3919667"}}