{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:JCENMMQNNK66EBARSYZGWRCA35","short_pith_number":"pith:JCENMMQN","canonical_record":{"source":{"id":"2406.18334","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-06-26T13:21:24Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"77ca57a1f7d7d14ca0063d48c1675cd08d83332ad8a78a1dafb81d0f3b2fb43f","abstract_canon_sha256":"7514a8d09cff45ce8c19475012bdc569fd3d20c8ce9e1947423b389bf89a7a5a"},"schema_version":"1.0"},"canonical_sha256":"4888d6320d6abde2041196326b4440df4e2b2993d9dd35d811af7b684a370235","source":{"kind":"arxiv","id":"2406.18334","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.18334","created_at":"2026-07-05T10:04:14Z"},{"alias_kind":"arxiv_version","alias_value":"2406.18334v2","created_at":"2026-07-05T10:04:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.18334","created_at":"2026-07-05T10:04:14Z"},{"alias_kind":"pith_short_12","alias_value":"JCENMMQNNK66","created_at":"2026-07-05T10:04:14Z"},{"alias_kind":"pith_short_16","alias_value":"JCENMMQNNK66EBAR","created_at":"2026-07-05T10:04:14Z"},{"alias_kind":"pith_short_8","alias_value":"JCENMMQN","created_at":"2026-07-05T10:04:14Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:JCENMMQNNK66EBARSYZGWRCA35","target":"record","payload":{"canonical_record":{"source":{"id":"2406.18334","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-06-26T13:21:24Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"77ca57a1f7d7d14ca0063d48c1675cd08d83332ad8a78a1dafb81d0f3b2fb43f","abstract_canon_sha256":"7514a8d09cff45ce8c19475012bdc569fd3d20c8ce9e1947423b389bf89a7a5a"},"schema_version":"1.0"},"canonical_sha256":"4888d6320d6abde2041196326b4440df4e2b2993d9dd35d811af7b684a370235","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:04:14.154443Z","signature_b64":"ASYY8CvJ5jSPb0wvLUCAK/VPrlmtyesg1vsIKEgdcZ/Q8Zp97mMLCS0+n+9fqrr/vzJOOeszdfghY+Q7YOesCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4888d6320d6abde2041196326b4440df4e2b2993d9dd35d811af7b684a370235","last_reissued_at":"2026-07-05T10:04:14.153991Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:04:14.153991Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2406.18334","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":"2026-07-05T10:04:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HhhRjhvxLF9yFOV/qU1GsuNsezAbty/Q6A+usnrCbQPvSwE5uYpNvClEsnkwNa+zb9fyYUqoECq1WM6EQ1YyBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T22:21:18.558648Z"},"content_sha256":"6042a3f15d30b23d625a9bc4ec29664a7449ad47a8553949e7389e0c51774509","schema_version":"1.0","event_id":"sha256:6042a3f15d30b23d625a9bc4ec29664a7449ad47a8553949e7389e0c51774509"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:JCENMMQNNK66EBARSYZGWRCA35","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Efficient and Accurate Explanation Estimation with Distribution Compression","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Bernd Bischl, Giuseppe Casalicchio, Hubert Baniecki, Przemyslaw Biecek","submitted_at":"2024-06-26T13:21:24Z","abstract_excerpt":"We discover a theoretical connection between explanation estimation and distribution compression that significantly improves the approximation of feature attributions, importance, and effects. While the exact computation of various machine learning explanations requires numerous model inferences and becomes impractical, the computational cost of approximation increases with an ever-increasing size of data and model parameters. We show that the standard i.i.d. sampling used in a broad spectrum of algorithms for post-hoc explanation leads to an approximation error worthy of improvement. To this "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.18334","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2406.18334/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":"2026-07-05T10:04:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4RPKobgYSAXgIlcma9Fq92Hmm4Qm+heo7iRxpTgmJndUOtJZgDkC9p99JQ/9IsHiZ2e7XRTfZyybMD2AcNfPBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T22:21:18.559232Z"},"content_sha256":"f051eb280f1bee42ac7fc8adc2b119d4be806528850841447af577b6adea0379","schema_version":"1.0","event_id":"sha256:f051eb280f1bee42ac7fc8adc2b119d4be806528850841447af577b6adea0379"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JCENMMQNNK66EBARSYZGWRCA35/bundle.json","state_url":"https://pith.science/pith/JCENMMQNNK66EBARSYZGWRCA35/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JCENMMQNNK66EBARSYZGWRCA35/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":"2026-08-22T22:21:18Z","links":{"resolver":"https://pith.science/pith/JCENMMQNNK66EBARSYZGWRCA35","bundle":"https://pith.science/pith/JCENMMQNNK66EBARSYZGWRCA35/bundle.json","state":"https://pith.science/pith/JCENMMQNNK66EBARSYZGWRCA35/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JCENMMQNNK66EBARSYZGWRCA35/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:JCENMMQNNK66EBARSYZGWRCA35","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":"7514a8d09cff45ce8c19475012bdc569fd3d20c8ce9e1947423b389bf89a7a5a","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-06-26T13:21:24Z","title_canon_sha256":"77ca57a1f7d7d14ca0063d48c1675cd08d83332ad8a78a1dafb81d0f3b2fb43f"},"schema_version":"1.0","source":{"id":"2406.18334","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.18334","created_at":"2026-07-05T10:04:14Z"},{"alias_kind":"arxiv_version","alias_value":"2406.18334v2","created_at":"2026-07-05T10:04:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.18334","created_at":"2026-07-05T10:04:14Z"},{"alias_kind":"pith_short_12","alias_value":"JCENMMQNNK66","created_at":"2026-07-05T10:04:14Z"},{"alias_kind":"pith_short_16","alias_value":"JCENMMQNNK66EBAR","created_at":"2026-07-05T10:04:14Z"},{"alias_kind":"pith_short_8","alias_value":"JCENMMQN","created_at":"2026-07-05T10:04:14Z"}],"graph_snapshots":[{"event_id":"sha256:f051eb280f1bee42ac7fc8adc2b119d4be806528850841447af577b6adea0379","target":"graph","created_at":"2026-07-05T10:04:14Z","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/2406.18334/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We discover a theoretical connection between explanation estimation and distribution compression that significantly improves the approximation of feature attributions, importance, and effects. While the exact computation of various machine learning explanations requires numerous model inferences and becomes impractical, the computational cost of approximation increases with an ever-increasing size of data and model parameters. We show that the standard i.i.d. sampling used in a broad spectrum of algorithms for post-hoc explanation leads to an approximation error worthy of improvement. To this ","authors_text":"Bernd Bischl, Giuseppe Casalicchio, Hubert Baniecki, Przemyslaw Biecek","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-06-26T13:21:24Z","title":"Efficient and Accurate Explanation Estimation with Distribution Compression"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.18334","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":"sha256:6042a3f15d30b23d625a9bc4ec29664a7449ad47a8553949e7389e0c51774509","target":"record","created_at":"2026-07-05T10:04:14Z","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":"7514a8d09cff45ce8c19475012bdc569fd3d20c8ce9e1947423b389bf89a7a5a","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-06-26T13:21:24Z","title_canon_sha256":"77ca57a1f7d7d14ca0063d48c1675cd08d83332ad8a78a1dafb81d0f3b2fb43f"},"schema_version":"1.0","source":{"id":"2406.18334","kind":"arxiv","version":2}},"canonical_sha256":"4888d6320d6abde2041196326b4440df4e2b2993d9dd35d811af7b684a370235","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4888d6320d6abde2041196326b4440df4e2b2993d9dd35d811af7b684a370235","first_computed_at":"2026-07-05T10:04:14.153991Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:04:14.153991Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ASYY8CvJ5jSPb0wvLUCAK/VPrlmtyesg1vsIKEgdcZ/Q8Zp97mMLCS0+n+9fqrr/vzJOOeszdfghY+Q7YOesCA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:04:14.154443Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.18334","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6042a3f15d30b23d625a9bc4ec29664a7449ad47a8553949e7389e0c51774509","sha256:f051eb280f1bee42ac7fc8adc2b119d4be806528850841447af577b6adea0379"],"state_sha256":"388297d4f0e8bd8e21fe389b72cfeb38e974a8ef62f70b6fe8dde54ce070b224"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Cu4utB1rgj1tiPoV+xGokmzKQhUjBcCFr2FcnuF9xX2H7wqEqVpl01Oy6gjzTSHnwOTXyh7eylRs9ARZ9/eSCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T22:21:18.562942Z","bundle_sha256":"89d383e6be2843eb5c4efe8caa59fabfc49f892bc80c5e5908af2ad8e772fa08"}}