{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:5RWZ3F4KD7OA26FS2KRF64P7WL","short_pith_number":"pith:5RWZ3F4K","canonical_record":{"source":{"id":"1908.11451","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2019-08-28T15:08:34Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"1036a38ce3078d95231b2c3f8ea8e40f52aa52c7f35a9bd7a2956e28569eacd2","abstract_canon_sha256":"6b55ed669ab9838abc2ea131e2386e93308b6c1e32a61bcfbd3a98942b6a0656"},"schema_version":"1.0"},"canonical_sha256":"ec6d9d978a1fdc0d78b2d2a25f71ffb2f12f3b8c45341bcb27d75ee2a8392ad4","source":{"kind":"arxiv","id":"1908.11451","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.11451","created_at":"2026-07-05T00:00:36Z"},{"alias_kind":"arxiv_version","alias_value":"1908.11451v1","created_at":"2026-07-05T00:00:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.11451","created_at":"2026-07-05T00:00:36Z"},{"alias_kind":"pith_short_12","alias_value":"5RWZ3F4KD7OA","created_at":"2026-07-05T00:00:36Z"},{"alias_kind":"pith_short_16","alias_value":"5RWZ3F4KD7OA26FS","created_at":"2026-07-05T00:00:36Z"},{"alias_kind":"pith_short_8","alias_value":"5RWZ3F4K","created_at":"2026-07-05T00:00:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:5RWZ3F4KD7OA26FS2KRF64P7WL","target":"record","payload":{"canonical_record":{"source":{"id":"1908.11451","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2019-08-28T15:08:34Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"1036a38ce3078d95231b2c3f8ea8e40f52aa52c7f35a9bd7a2956e28569eacd2","abstract_canon_sha256":"6b55ed669ab9838abc2ea131e2386e93308b6c1e32a61bcfbd3a98942b6a0656"},"schema_version":"1.0"},"canonical_sha256":"ec6d9d978a1fdc0d78b2d2a25f71ffb2f12f3b8c45341bcb27d75ee2a8392ad4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:00:36.695792Z","signature_b64":"Yz9n5t01RloyvEvzHBiOm4ZS+mFPbiddXrTiUEVo1un/zsP3CEMi72WyEV+MCiHdGdYCRO6TDKVPRXk3J5cxDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ec6d9d978a1fdc0d78b2d2a25f71ffb2f12f3b8c45341bcb27d75ee2a8392ad4","last_reissued_at":"2026-07-05T00:00:36.695394Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:00:36.695394Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1908.11451","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":"2026-07-05T00:00:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5L0/APuKYyMoBd77STYuODMJ4d3WgFusfGQ89J3EvT82df4pJh6PTWW/V8ONjH91iRz0MQ+cqFsYq8S1IGJFCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T06:08:42.068294Z"},"content_sha256":"91e117af3fd332817ff907aa3609dc29eff0048c6e53392d9d3fd70a7c3fa850","schema_version":"1.0","event_id":"sha256:91e117af3fd332817ff907aa3609dc29eff0048c6e53392d9d3fd70a7c3fa850"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:5RWZ3F4KD7OA26FS2KRF64P7WL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Fairness-Aware Process Mining","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CR","authors_text":"Mahnaz Sadat Qafari, Wil van der Aalst","submitted_at":"2019-08-28T15:08:34Z","abstract_excerpt":"Process mining is a multi-purpose tool enabling organizations to improve their processes. One of the primary purposes of process mining is finding the root causes of performance or compliance problems in processes. The usual way of doing so is by gathering data from the process event log and other sources and then applying some data mining and machine learning techniques. However, the results of applying such techniques are not always acceptable. In many situations, this approach is prone to making obvious or unfair diagnoses and applying them may result in conclusions that are unsurprising or"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.11451","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/1908.11451/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":"2026-07-05T00:00:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1yHm+D1pc7hj+RX0GsTyA/uTxpStEN9n1UuvcM8eWtz4pvrKXSKsPpuk/TshtA8q9vb0T/7jMKlxoNSp+K8mCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T06:08:42.068921Z"},"content_sha256":"61ab9aeb453a36d5e737276d0fb392c5c5987b38a05ff1755ed171af30cb55ab","schema_version":"1.0","event_id":"sha256:61ab9aeb453a36d5e737276d0fb392c5c5987b38a05ff1755ed171af30cb55ab"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5RWZ3F4KD7OA26FS2KRF64P7WL/bundle.json","state_url":"https://pith.science/pith/5RWZ3F4KD7OA26FS2KRF64P7WL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5RWZ3F4KD7OA26FS2KRF64P7WL/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":"2026-08-16T06:08:42Z","links":{"resolver":"https://pith.science/pith/5RWZ3F4KD7OA26FS2KRF64P7WL","bundle":"https://pith.science/pith/5RWZ3F4KD7OA26FS2KRF64P7WL/bundle.json","state":"https://pith.science/pith/5RWZ3F4KD7OA26FS2KRF64P7WL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5RWZ3F4KD7OA26FS2KRF64P7WL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:5RWZ3F4KD7OA26FS2KRF64P7WL","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":"6b55ed669ab9838abc2ea131e2386e93308b6c1e32a61bcfbd3a98942b6a0656","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2019-08-28T15:08:34Z","title_canon_sha256":"1036a38ce3078d95231b2c3f8ea8e40f52aa52c7f35a9bd7a2956e28569eacd2"},"schema_version":"1.0","source":{"id":"1908.11451","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.11451","created_at":"2026-07-05T00:00:36Z"},{"alias_kind":"arxiv_version","alias_value":"1908.11451v1","created_at":"2026-07-05T00:00:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.11451","created_at":"2026-07-05T00:00:36Z"},{"alias_kind":"pith_short_12","alias_value":"5RWZ3F4KD7OA","created_at":"2026-07-05T00:00:36Z"},{"alias_kind":"pith_short_16","alias_value":"5RWZ3F4KD7OA26FS","created_at":"2026-07-05T00:00:36Z"},{"alias_kind":"pith_short_8","alias_value":"5RWZ3F4K","created_at":"2026-07-05T00:00:36Z"}],"graph_snapshots":[{"event_id":"sha256:61ab9aeb453a36d5e737276d0fb392c5c5987b38a05ff1755ed171af30cb55ab","target":"graph","created_at":"2026-07-05T00:00:36Z","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/1908.11451/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Process mining is a multi-purpose tool enabling organizations to improve their processes. One of the primary purposes of process mining is finding the root causes of performance or compliance problems in processes. The usual way of doing so is by gathering data from the process event log and other sources and then applying some data mining and machine learning techniques. However, the results of applying such techniques are not always acceptable. In many situations, this approach is prone to making obvious or unfair diagnoses and applying them may result in conclusions that are unsurprising or","authors_text":"Mahnaz Sadat Qafari, Wil van der Aalst","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2019-08-28T15:08:34Z","title":"Fairness-Aware Process Mining"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.11451","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":"sha256:91e117af3fd332817ff907aa3609dc29eff0048c6e53392d9d3fd70a7c3fa850","target":"record","created_at":"2026-07-05T00:00:36Z","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":"6b55ed669ab9838abc2ea131e2386e93308b6c1e32a61bcfbd3a98942b6a0656","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2019-08-28T15:08:34Z","title_canon_sha256":"1036a38ce3078d95231b2c3f8ea8e40f52aa52c7f35a9bd7a2956e28569eacd2"},"schema_version":"1.0","source":{"id":"1908.11451","kind":"arxiv","version":1}},"canonical_sha256":"ec6d9d978a1fdc0d78b2d2a25f71ffb2f12f3b8c45341bcb27d75ee2a8392ad4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ec6d9d978a1fdc0d78b2d2a25f71ffb2f12f3b8c45341bcb27d75ee2a8392ad4","first_computed_at":"2026-07-05T00:00:36.695394Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:00:36.695394Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Yz9n5t01RloyvEvzHBiOm4ZS+mFPbiddXrTiUEVo1un/zsP3CEMi72WyEV+MCiHdGdYCRO6TDKVPRXk3J5cxDg==","signature_status":"signed_v1","signed_at":"2026-07-05T00:00:36.695792Z","signed_message":"canonical_sha256_bytes"},"source_id":"1908.11451","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:91e117af3fd332817ff907aa3609dc29eff0048c6e53392d9d3fd70a7c3fa850","sha256:61ab9aeb453a36d5e737276d0fb392c5c5987b38a05ff1755ed171af30cb55ab"],"state_sha256":"e2c6f52af3b1311eb190a5b071803e2eb064be7cfb93cb982f1889e19242c5e2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"h+sTz6D4c5LsnsZcW4gzvosSPWNReEf884NyFucj48Kgj9SzRwIoxymkYgPeu10RNYdLH6miMUkDbxN5KAfnDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-16T06:08:42.073910Z","bundle_sha256":"b748b0fd7bae164c5b6a7251de0dc82cc509f547952f4aa2030782c1c59f1ecf"}}