{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:ROAVZ3WTT7OA2ILVRZJJ5AXYYE","short_pith_number":"pith:ROAVZ3WT","canonical_record":{"source":{"id":"1911.07749","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-11-15T08:14:26Z","cross_cats_sorted":["cs.AI","stat.ML"],"title_canon_sha256":"9fd79685b398e3101e8ff95a95d142c671570ff6d285321ea53d7d2afa6502ee","abstract_canon_sha256":"745cce3416d3c1b2cb4b948dfb4cb10f37886452ef97e7713a041bf26305c329"},"schema_version":"1.0"},"canonical_sha256":"8b815ceed39fdc0d21758e529e82f8c10b6c016bc0fbc4805c8eaebc921572b6","source":{"kind":"arxiv","id":"1911.07749","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1911.07749","created_at":"2026-07-05T00:20:07Z"},{"alias_kind":"arxiv_version","alias_value":"1911.07749v1","created_at":"2026-07-05T00:20:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1911.07749","created_at":"2026-07-05T00:20:07Z"},{"alias_kind":"pith_short_12","alias_value":"ROAVZ3WTT7OA","created_at":"2026-07-05T00:20:07Z"},{"alias_kind":"pith_short_16","alias_value":"ROAVZ3WTT7OA2ILV","created_at":"2026-07-05T00:20:07Z"},{"alias_kind":"pith_short_8","alias_value":"ROAVZ3WT","created_at":"2026-07-05T00:20:07Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:ROAVZ3WTT7OA2ILVRZJJ5AXYYE","target":"record","payload":{"canonical_record":{"source":{"id":"1911.07749","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-11-15T08:14:26Z","cross_cats_sorted":["cs.AI","stat.ML"],"title_canon_sha256":"9fd79685b398e3101e8ff95a95d142c671570ff6d285321ea53d7d2afa6502ee","abstract_canon_sha256":"745cce3416d3c1b2cb4b948dfb4cb10f37886452ef97e7713a041bf26305c329"},"schema_version":"1.0"},"canonical_sha256":"8b815ceed39fdc0d21758e529e82f8c10b6c016bc0fbc4805c8eaebc921572b6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:20:07.686292Z","signature_b64":"IER9OoK1j7XPgQp2pPkW1jfnxXWnt7ojt2v0pX02OCrHQGy5nNSwS/DVZUqbxea5R9qobRmo88WD/EKqHSVwBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8b815ceed39fdc0d21758e529e82f8c10b6c016bc0fbc4805c8eaebc921572b6","last_reissued_at":"2026-07-05T00:20:07.685878Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:20:07.685878Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1911.07749","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":"2026-07-05T00:20:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fELwgLLguidoKQB2/vN/fLhl40UiMzQ4ddY40traEQYoJt/sI/aXRMC//qGyOd+71yY8OogHvvw7LaBT/yazBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T07:58:19.452218Z"},"content_sha256":"410f9cd7c1bbd92035aed86be44b1456a3fb38a184cd4c4b0384d42c23baad84","schema_version":"1.0","event_id":"sha256:410f9cd7c1bbd92035aed86be44b1456a3fb38a184cd4c4b0384d42c23baad84"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:ROAVZ3WTT7OA2ILVRZJJ5AXYYE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"On the computation of counterfactual explanations -- A survey","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","stat.ML"],"primary_cat":"cs.LG","authors_text":"Andr\\'e Artelt, Barbara Hammer","submitted_at":"2019-11-15T08:14:26Z","abstract_excerpt":"Due to the increasing use of machine learning in practice it becomes more and more important to be able to explain the prediction and behavior of machine learning models. An instance of explanations are counterfactual explanations which provide an intuitive and useful explanations of machine learning models. In this survey we review model-specific methods for efficiently computing counterfactual explanations of many different machine learning models and propose methods for models that have not been considered in literature so far."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1911.07749","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/1911.07749/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":"2026-07-05T00:20:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eNvZnXHMgW2x0JHbJt3aZ8K2CMy9Oc5fSRL71y1K84WTCdJwnpoz7e19NUrYRn5lW+wh+kGfViy3ROIAqi4WBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T07:58:19.452964Z"},"content_sha256":"f48f12643239eb552d5947873d6c03adab650d21f24afda7d6b08f590a4c2024","schema_version":"1.0","event_id":"sha256:f48f12643239eb552d5947873d6c03adab650d21f24afda7d6b08f590a4c2024"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ROAVZ3WTT7OA2ILVRZJJ5AXYYE/bundle.json","state_url":"https://pith.science/pith/ROAVZ3WTT7OA2ILVRZJJ5AXYYE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ROAVZ3WTT7OA2ILVRZJJ5AXYYE/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":"2026-08-14T07:58:19Z","links":{"resolver":"https://pith.science/pith/ROAVZ3WTT7OA2ILVRZJJ5AXYYE","bundle":"https://pith.science/pith/ROAVZ3WTT7OA2ILVRZJJ5AXYYE/bundle.json","state":"https://pith.science/pith/ROAVZ3WTT7OA2ILVRZJJ5AXYYE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ROAVZ3WTT7OA2ILVRZJJ5AXYYE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:ROAVZ3WTT7OA2ILVRZJJ5AXYYE","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":"745cce3416d3c1b2cb4b948dfb4cb10f37886452ef97e7713a041bf26305c329","cross_cats_sorted":["cs.AI","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-11-15T08:14:26Z","title_canon_sha256":"9fd79685b398e3101e8ff95a95d142c671570ff6d285321ea53d7d2afa6502ee"},"schema_version":"1.0","source":{"id":"1911.07749","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1911.07749","created_at":"2026-07-05T00:20:07Z"},{"alias_kind":"arxiv_version","alias_value":"1911.07749v1","created_at":"2026-07-05T00:20:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1911.07749","created_at":"2026-07-05T00:20:07Z"},{"alias_kind":"pith_short_12","alias_value":"ROAVZ3WTT7OA","created_at":"2026-07-05T00:20:07Z"},{"alias_kind":"pith_short_16","alias_value":"ROAVZ3WTT7OA2ILV","created_at":"2026-07-05T00:20:07Z"},{"alias_kind":"pith_short_8","alias_value":"ROAVZ3WT","created_at":"2026-07-05T00:20:07Z"}],"graph_snapshots":[{"event_id":"sha256:f48f12643239eb552d5947873d6c03adab650d21f24afda7d6b08f590a4c2024","target":"graph","created_at":"2026-07-05T00:20:07Z","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/1911.07749/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Due to the increasing use of machine learning in practice it becomes more and more important to be able to explain the prediction and behavior of machine learning models. An instance of explanations are counterfactual explanations which provide an intuitive and useful explanations of machine learning models. In this survey we review model-specific methods for efficiently computing counterfactual explanations of many different machine learning models and propose methods for models that have not been considered in literature so far.","authors_text":"Andr\\'e Artelt, Barbara Hammer","cross_cats":["cs.AI","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-11-15T08:14:26Z","title":"On the computation of counterfactual explanations -- A survey"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1911.07749","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":"sha256:410f9cd7c1bbd92035aed86be44b1456a3fb38a184cd4c4b0384d42c23baad84","target":"record","created_at":"2026-07-05T00:20:07Z","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":"745cce3416d3c1b2cb4b948dfb4cb10f37886452ef97e7713a041bf26305c329","cross_cats_sorted":["cs.AI","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-11-15T08:14:26Z","title_canon_sha256":"9fd79685b398e3101e8ff95a95d142c671570ff6d285321ea53d7d2afa6502ee"},"schema_version":"1.0","source":{"id":"1911.07749","kind":"arxiv","version":1}},"canonical_sha256":"8b815ceed39fdc0d21758e529e82f8c10b6c016bc0fbc4805c8eaebc921572b6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8b815ceed39fdc0d21758e529e82f8c10b6c016bc0fbc4805c8eaebc921572b6","first_computed_at":"2026-07-05T00:20:07.685878Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:20:07.685878Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"IER9OoK1j7XPgQp2pPkW1jfnxXWnt7ojt2v0pX02OCrHQGy5nNSwS/DVZUqbxea5R9qobRmo88WD/EKqHSVwBg==","signature_status":"signed_v1","signed_at":"2026-07-05T00:20:07.686292Z","signed_message":"canonical_sha256_bytes"},"source_id":"1911.07749","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:410f9cd7c1bbd92035aed86be44b1456a3fb38a184cd4c4b0384d42c23baad84","sha256:f48f12643239eb552d5947873d6c03adab650d21f24afda7d6b08f590a4c2024"],"state_sha256":"efc1f637ee3651e096dd08eafb65126f125d683632948e0d0901fb0ba3f75f04"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PC+nK7THSCiN+oH1qemMG6lXTVvevMVZ1HppO79xPTbF/g5kC+Ut+cuGYUJXG0z8B+kNyfl7W1zmSglhQCs7Cw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-14T07:58:19.458761Z","bundle_sha256":"7acc107e92bc40ae3660fe9355f3011c56436bc622e238037564b98e60e9cb84"}}