{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:IIKMXMEJ3XHCE3UJS6LKAUN5KT","short_pith_number":"pith:IIKMXMEJ","canonical_record":{"source":{"id":"1708.02153","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2017-08-07T15:09:01Z","cross_cats_sorted":[],"title_canon_sha256":"0ec18f0ae3701060e030c9a8ce470a751168335bdba01eae92803376c0251410","abstract_canon_sha256":"b8075949d7db1c8f01b57985053cf5cd76e350b55c161a4590aba35b7b5f88a9"},"schema_version":"1.0"},"canonical_sha256":"4214cbb089ddce226e899796a051bd54eee7417742b7e766a03323eaf7915f4b","source":{"kind":"arxiv","id":"1708.02153","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1708.02153","created_at":"2026-05-18T00:00:41Z"},{"alias_kind":"arxiv_version","alias_value":"1708.02153v2","created_at":"2026-05-18T00:00:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1708.02153","created_at":"2026-05-18T00:00:41Z"},{"alias_kind":"pith_short_12","alias_value":"IIKMXMEJ3XHC","created_at":"2026-05-18T12:31:21Z"},{"alias_kind":"pith_short_16","alias_value":"IIKMXMEJ3XHCE3UJ","created_at":"2026-05-18T12:31:21Z"},{"alias_kind":"pith_short_8","alias_value":"IIKMXMEJ","created_at":"2026-05-18T12:31:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:IIKMXMEJ3XHCE3UJS6LKAUN5KT","target":"record","payload":{"canonical_record":{"source":{"id":"1708.02153","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2017-08-07T15:09:01Z","cross_cats_sorted":[],"title_canon_sha256":"0ec18f0ae3701060e030c9a8ce470a751168335bdba01eae92803376c0251410","abstract_canon_sha256":"b8075949d7db1c8f01b57985053cf5cd76e350b55c161a4590aba35b7b5f88a9"},"schema_version":"1.0"},"canonical_sha256":"4214cbb089ddce226e899796a051bd54eee7417742b7e766a03323eaf7915f4b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:00:41.478184Z","signature_b64":"1cr63ChdT58KMvBdfFKtpVr4nFZiFS+4Xbaa9s5C7UtQDDhnjh/vW6NGsrqSxeeyeAUEFL1xvNrpa6RQeGtRDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4214cbb089ddce226e899796a051bd54eee7417742b7e766a03323eaf7915f4b","last_reissued_at":"2026-05-18T00:00:41.477757Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:00:41.477757Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1708.02153","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":"2026-05-18T00:00:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wOKc9PLkt+2GO0bSyQLGt0s0bErj4EVBD7Eg9nvH4wmhhoKcT3KbopcWJy4YMHxzp5eDM9OZrvqI5V44euXeAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-22T11:33:06.753362Z"},"content_sha256":"76f9564e5a383d5222a63f95d688edf7ef8f3447390082981b5806f44c41dd79","schema_version":"1.0","event_id":"sha256:76f9564e5a383d5222a63f95d688edf7ef8f3447390082981b5806f44c41dd79"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:IIKMXMEJ3XHCE3UJS6LKAUN5KT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Axiomatic Characterization of Data-Driven Influence Measures for Classification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Jakub Sliwinski, Martin Strobel, Yair Zick","submitted_at":"2017-08-07T15:09:01Z","abstract_excerpt":"We study the following problem: given a labeled dataset and a specific datapoint x, how did the i-th feature influence the classification for x? We identify a family of numerical influence measures - functions that, given a datapoint x, assign a numeric value phi_i(x) to every feature i, corresponding to how altering i's value would influence the outcome for x. This family, which we term monotone influence measures (MIM), is uniquely derived from a set of desirable properties, or axioms. The MIM family constitutes a provably sound methodology for measuring feature influence in classification d"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1708.02153","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":""},"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":"2026-05-18T00:00:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oJKztZ0x2CmVQMpKcndjtqxQskWab2xDWDx7dSn+r41SMlzZeh0EMdHjq9TLDR4VqZUvQkVwkgjwCST4PMtrAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-22T11:33:06.753753Z"},"content_sha256":"7cef3a5ffe9670ea7715d1ff9ba418e0fe9afa07d673f013c590d45cbed215be","schema_version":"1.0","event_id":"sha256:7cef3a5ffe9670ea7715d1ff9ba418e0fe9afa07d673f013c590d45cbed215be"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IIKMXMEJ3XHCE3UJS6LKAUN5KT/bundle.json","state_url":"https://pith.science/pith/IIKMXMEJ3XHCE3UJS6LKAUN5KT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IIKMXMEJ3XHCE3UJS6LKAUN5KT/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":"2026-05-22T11:33:06Z","links":{"resolver":"https://pith.science/pith/IIKMXMEJ3XHCE3UJS6LKAUN5KT","bundle":"https://pith.science/pith/IIKMXMEJ3XHCE3UJS6LKAUN5KT/bundle.json","state":"https://pith.science/pith/IIKMXMEJ3XHCE3UJS6LKAUN5KT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IIKMXMEJ3XHCE3UJS6LKAUN5KT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:IIKMXMEJ3XHCE3UJS6LKAUN5KT","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":"b8075949d7db1c8f01b57985053cf5cd76e350b55c161a4590aba35b7b5f88a9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2017-08-07T15:09:01Z","title_canon_sha256":"0ec18f0ae3701060e030c9a8ce470a751168335bdba01eae92803376c0251410"},"schema_version":"1.0","source":{"id":"1708.02153","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1708.02153","created_at":"2026-05-18T00:00:41Z"},{"alias_kind":"arxiv_version","alias_value":"1708.02153v2","created_at":"2026-05-18T00:00:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1708.02153","created_at":"2026-05-18T00:00:41Z"},{"alias_kind":"pith_short_12","alias_value":"IIKMXMEJ3XHC","created_at":"2026-05-18T12:31:21Z"},{"alias_kind":"pith_short_16","alias_value":"IIKMXMEJ3XHCE3UJ","created_at":"2026-05-18T12:31:21Z"},{"alias_kind":"pith_short_8","alias_value":"IIKMXMEJ","created_at":"2026-05-18T12:31:21Z"}],"graph_snapshots":[{"event_id":"sha256:7cef3a5ffe9670ea7715d1ff9ba418e0fe9afa07d673f013c590d45cbed215be","target":"graph","created_at":"2026-05-18T00:00:41Z","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"},"paper":{"abstract_excerpt":"We study the following problem: given a labeled dataset and a specific datapoint x, how did the i-th feature influence the classification for x? We identify a family of numerical influence measures - functions that, given a datapoint x, assign a numeric value phi_i(x) to every feature i, corresponding to how altering i's value would influence the outcome for x. This family, which we term monotone influence measures (MIM), is uniquely derived from a set of desirable properties, or axioms. The MIM family constitutes a provably sound methodology for measuring feature influence in classification d","authors_text":"Jakub Sliwinski, Martin Strobel, Yair Zick","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2017-08-07T15:09:01Z","title":"Axiomatic Characterization of Data-Driven Influence Measures for Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1708.02153","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":"sha256:76f9564e5a383d5222a63f95d688edf7ef8f3447390082981b5806f44c41dd79","target":"record","created_at":"2026-05-18T00:00:41Z","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":"b8075949d7db1c8f01b57985053cf5cd76e350b55c161a4590aba35b7b5f88a9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2017-08-07T15:09:01Z","title_canon_sha256":"0ec18f0ae3701060e030c9a8ce470a751168335bdba01eae92803376c0251410"},"schema_version":"1.0","source":{"id":"1708.02153","kind":"arxiv","version":2}},"canonical_sha256":"4214cbb089ddce226e899796a051bd54eee7417742b7e766a03323eaf7915f4b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4214cbb089ddce226e899796a051bd54eee7417742b7e766a03323eaf7915f4b","first_computed_at":"2026-05-18T00:00:41.477757Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:00:41.477757Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1cr63ChdT58KMvBdfFKtpVr4nFZiFS+4Xbaa9s5C7UtQDDhnjh/vW6NGsrqSxeeyeAUEFL1xvNrpa6RQeGtRDg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:00:41.478184Z","signed_message":"canonical_sha256_bytes"},"source_id":"1708.02153","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:76f9564e5a383d5222a63f95d688edf7ef8f3447390082981b5806f44c41dd79","sha256:7cef3a5ffe9670ea7715d1ff9ba418e0fe9afa07d673f013c590d45cbed215be"],"state_sha256":"a2f4f3c3556e698517961831c017079c37c328bb62c090705e920efbae179212"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sKgcEkUjH/Cmi4stNErTuarR1f82Q4wKZ90LoOXG7A6k6MGjdrhfwEHjz4KGd5TBzopSPWaxnIAQvcCsMySrCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-22T11:33:06.756007Z","bundle_sha256":"b1fd0cf777f197b0b9f64750ad767c4e51ea0a4518a17a1b0bab5116199dcfad"}}