{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:QQK2BCIKQLTNY4WCV5STC6PBVK","short_pith_number":"pith:QQK2BCIK","canonical_record":{"source":{"id":"2211.13617","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2022-11-24T14:07:02Z","cross_cats_sorted":["cs.CY"],"title_canon_sha256":"196b9926eacada429b96c838ecb4aeed312143fda9b6675f964a68de57c30a80","abstract_canon_sha256":"4dddbf30f3e4413b64fc44715fd75424565607580724fef55f4efa1e597d07a9"},"schema_version":"1.0"},"canonical_sha256":"8415a0890a82e6dc72c2af653179e1aa950921f2ba78490499731d491e141cc8","source":{"kind":"arxiv","id":"2211.13617","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.13617","created_at":"2026-07-05T07:30:01Z"},{"alias_kind":"arxiv_version","alias_value":"2211.13617v1","created_at":"2026-07-05T07:30:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.13617","created_at":"2026-07-05T07:30:01Z"},{"alias_kind":"pith_short_12","alias_value":"QQK2BCIKQLTN","created_at":"2026-07-05T07:30:01Z"},{"alias_kind":"pith_short_16","alias_value":"QQK2BCIKQLTNY4WC","created_at":"2026-07-05T07:30:01Z"},{"alias_kind":"pith_short_8","alias_value":"QQK2BCIK","created_at":"2026-07-05T07:30:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:QQK2BCIKQLTNY4WCV5STC6PBVK","target":"record","payload":{"canonical_record":{"source":{"id":"2211.13617","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2022-11-24T14:07:02Z","cross_cats_sorted":["cs.CY"],"title_canon_sha256":"196b9926eacada429b96c838ecb4aeed312143fda9b6675f964a68de57c30a80","abstract_canon_sha256":"4dddbf30f3e4413b64fc44715fd75424565607580724fef55f4efa1e597d07a9"},"schema_version":"1.0"},"canonical_sha256":"8415a0890a82e6dc72c2af653179e1aa950921f2ba78490499731d491e141cc8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:30:01.030924Z","signature_b64":"LhNF3b0x3b2t3X97lkvmqnQzE3Tsa04I1XjGEUlJqLnhOrB44yg/NkOaGcZehUuOfLv8PUse2xl8RH+2X0bqAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8415a0890a82e6dc72c2af653179e1aa950921f2ba78490499731d491e141cc8","last_reissued_at":"2026-07-05T07:30:01.030390Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:30:01.030390Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2211.13617","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":"2026-07-05T07:30:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"p/oRHXl+c7g9X3QpbN8MCN0eKmVJIyxXbb7cYr7WPUeyp1YNVfT6q4i/sJ7cZwzML601XX/vTuCo2WYQkouLDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T07:47:44.739189Z"},"content_sha256":"52585fcc735bb7c32bc35d0971a3d2059e0ea40278231a88db9a0e5c7ef6a91b","schema_version":"1.0","event_id":"sha256:52585fcc735bb7c32bc35d0971a3d2059e0ea40278231a88db9a0e5c7ef6a91b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:QQK2BCIKQLTNY4WCV5STC6PBVK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ML Interpretability: Simple Isn't Easy","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.CY"],"primary_cat":"cs.LG","authors_text":"Tim R\\\"az","submitted_at":"2022-11-24T14:07:02Z","abstract_excerpt":"The interpretability of ML models is important, but it is not clear what it amounts to. So far, most philosophers have discussed the lack of interpretability of black-box models such as neural networks, and methods such as explainable AI that aim to make these models more transparent. The goal of this paper is to clarify the nature of interpretability by focussing on the other end of the 'interpretability spectrum'. The reasons why some models, linear models and decision trees, are highly interpretable will be examined, and also how more general models, MARS and GAM, retain some degree of inte"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.13617","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/2211.13617/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":"2026-07-05T07:30:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mtBEH1bMNg5cGJr5fgg88zAbhLvC00otvp0AcoWdt6uWHZqow3WINZFPXxqmDBFugTzuYsSzu2ibenTzV+T0AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T07:47:44.739678Z"},"content_sha256":"5d9818b1ff5e255e155b2c1d3d63a586f490fda757765980267b4753852409cd","schema_version":"1.0","event_id":"sha256:5d9818b1ff5e255e155b2c1d3d63a586f490fda757765980267b4753852409cd"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QQK2BCIKQLTNY4WCV5STC6PBVK/bundle.json","state_url":"https://pith.science/pith/QQK2BCIKQLTNY4WCV5STC6PBVK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QQK2BCIKQLTNY4WCV5STC6PBVK/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":"2026-08-08T07:47:44Z","links":{"resolver":"https://pith.science/pith/QQK2BCIKQLTNY4WCV5STC6PBVK","bundle":"https://pith.science/pith/QQK2BCIKQLTNY4WCV5STC6PBVK/bundle.json","state":"https://pith.science/pith/QQK2BCIKQLTNY4WCV5STC6PBVK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QQK2BCIKQLTNY4WCV5STC6PBVK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:QQK2BCIKQLTNY4WCV5STC6PBVK","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":"4dddbf30f3e4413b64fc44715fd75424565607580724fef55f4efa1e597d07a9","cross_cats_sorted":["cs.CY"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2022-11-24T14:07:02Z","title_canon_sha256":"196b9926eacada429b96c838ecb4aeed312143fda9b6675f964a68de57c30a80"},"schema_version":"1.0","source":{"id":"2211.13617","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.13617","created_at":"2026-07-05T07:30:01Z"},{"alias_kind":"arxiv_version","alias_value":"2211.13617v1","created_at":"2026-07-05T07:30:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.13617","created_at":"2026-07-05T07:30:01Z"},{"alias_kind":"pith_short_12","alias_value":"QQK2BCIKQLTN","created_at":"2026-07-05T07:30:01Z"},{"alias_kind":"pith_short_16","alias_value":"QQK2BCIKQLTNY4WC","created_at":"2026-07-05T07:30:01Z"},{"alias_kind":"pith_short_8","alias_value":"QQK2BCIK","created_at":"2026-07-05T07:30:01Z"}],"graph_snapshots":[{"event_id":"sha256:5d9818b1ff5e255e155b2c1d3d63a586f490fda757765980267b4753852409cd","target":"graph","created_at":"2026-07-05T07:30:01Z","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/2211.13617/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The interpretability of ML models is important, but it is not clear what it amounts to. So far, most philosophers have discussed the lack of interpretability of black-box models such as neural networks, and methods such as explainable AI that aim to make these models more transparent. The goal of this paper is to clarify the nature of interpretability by focussing on the other end of the 'interpretability spectrum'. The reasons why some models, linear models and decision trees, are highly interpretable will be examined, and also how more general models, MARS and GAM, retain some degree of inte","authors_text":"Tim R\\\"az","cross_cats":["cs.CY"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2022-11-24T14:07:02Z","title":"ML Interpretability: Simple Isn't Easy"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.13617","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":"sha256:52585fcc735bb7c32bc35d0971a3d2059e0ea40278231a88db9a0e5c7ef6a91b","target":"record","created_at":"2026-07-05T07:30:01Z","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":"4dddbf30f3e4413b64fc44715fd75424565607580724fef55f4efa1e597d07a9","cross_cats_sorted":["cs.CY"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2022-11-24T14:07:02Z","title_canon_sha256":"196b9926eacada429b96c838ecb4aeed312143fda9b6675f964a68de57c30a80"},"schema_version":"1.0","source":{"id":"2211.13617","kind":"arxiv","version":1}},"canonical_sha256":"8415a0890a82e6dc72c2af653179e1aa950921f2ba78490499731d491e141cc8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8415a0890a82e6dc72c2af653179e1aa950921f2ba78490499731d491e141cc8","first_computed_at":"2026-07-05T07:30:01.030390Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:30:01.030390Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LhNF3b0x3b2t3X97lkvmqnQzE3Tsa04I1XjGEUlJqLnhOrB44yg/NkOaGcZehUuOfLv8PUse2xl8RH+2X0bqAw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:30:01.030924Z","signed_message":"canonical_sha256_bytes"},"source_id":"2211.13617","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:52585fcc735bb7c32bc35d0971a3d2059e0ea40278231a88db9a0e5c7ef6a91b","sha256:5d9818b1ff5e255e155b2c1d3d63a586f490fda757765980267b4753852409cd"],"state_sha256":"7cabbbf3b438e629dd5a12b5b4c73d1b3be5d378da1e4f8976d780d3de3733ed"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WhmzHoawFW9GOlSN93gGF5cA91TzREYl8bupK4g+CZXSZpCAE8tgQw51BEu6NGEUQqZnPU3gqUoVZIhVE5ogAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T07:47:44.743220Z","bundle_sha256":"72bf2812a8a455976f35c59ef81cbafddf78bd37a8566cc6e0e26cc9fc44386c"}}