{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:YOIP7LRDKJCNT26NZWEEJ2RIST","short_pith_number":"pith:YOIP7LRD","canonical_record":{"source":{"id":"2404.16495","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-04-25T10:40:49Z","cross_cats_sorted":[],"title_canon_sha256":"f8b4b0d07e8fd8567c799c2fc0b0302c11311f96a27c3b981d1fc76bfaa9993d","abstract_canon_sha256":"d748fd3941116bc4b4111bdfbe19a8a8bf2e8ebd6e5a784213c2d7f690e84752"},"schema_version":"1.0"},"canonical_sha256":"c390ffae235244d9ebcdcd8844ea2894ed9e5c537dd7311959295a03a495db06","source":{"kind":"arxiv","id":"2404.16495","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.16495","created_at":"2026-07-05T10:53:09Z"},{"alias_kind":"arxiv_version","alias_value":"2404.16495v3","created_at":"2026-07-05T10:53:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.16495","created_at":"2026-07-05T10:53:09Z"},{"alias_kind":"pith_short_12","alias_value":"YOIP7LRDKJCN","created_at":"2026-07-05T10:53:09Z"},{"alias_kind":"pith_short_16","alias_value":"YOIP7LRDKJCNT26N","created_at":"2026-07-05T10:53:09Z"},{"alias_kind":"pith_short_8","alias_value":"YOIP7LRD","created_at":"2026-07-05T10:53:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:YOIP7LRDKJCNT26NZWEEJ2RIST","target":"record","payload":{"canonical_record":{"source":{"id":"2404.16495","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-04-25T10:40:49Z","cross_cats_sorted":[],"title_canon_sha256":"f8b4b0d07e8fd8567c799c2fc0b0302c11311f96a27c3b981d1fc76bfaa9993d","abstract_canon_sha256":"d748fd3941116bc4b4111bdfbe19a8a8bf2e8ebd6e5a784213c2d7f690e84752"},"schema_version":"1.0"},"canonical_sha256":"c390ffae235244d9ebcdcd8844ea2894ed9e5c537dd7311959295a03a495db06","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:53:09.810630Z","signature_b64":"faKBVGaVoFNehVoh9QBXGHJjk+6rZZRLWamYqUBvHv04kMi3MGCAsRMbeg11kKnlF+E2IwjYaVQp6PqXapLPCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c390ffae235244d9ebcdcd8844ea2894ed9e5c537dd7311959295a03a495db06","last_reissued_at":"2026-07-05T10:53:09.810159Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:53:09.810159Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2404.16495","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:53:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jiVxUyymltN6+Btp3Kx3rN6Nw4o1PEOWJTVKqQu53pGmhCUY4FEfuyvsQT2SDD3K/xSyRAr5SW+rsoCROvwcAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-18T16:25:05.001673Z"},"content_sha256":"9b3bb42b8ee90a6963978e78dbbebbe32280fe63f3c9dfb36899ffd1f3843189","schema_version":"1.0","event_id":"sha256:9b3bb42b8ee90a6963978e78dbbebbe32280fe63f3c9dfb36899ffd1f3843189"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:YOIP7LRDKJCNT26NZWEEJ2RIST","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"T-Explainer: A Model-Agnostic Explainability Framework Based on Gradients","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Brian Barr, Claudio T. Silva, Evandro S. Ortigossa, F\\'abio F. Dias, Luis Gustavo Nonato","submitted_at":"2024-04-25T10:40:49Z","abstract_excerpt":"The development of machine learning applications has increased significantly in recent years, motivated by the remarkable ability of learning-powered systems to discover and generalize intricate patterns hidden in massive datasets. Modern learning models, while powerful, often exhibit a complexity level that renders them opaque black boxes, lacking transparency and hindering our understanding of their decision-making processes. Opacity challenges the practical application of machine learning, especially in critical domains requiring informed decisions. Explainable Artificial Intelligence (XAI)"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.16495","kind":"arxiv","version":3},"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/2404.16495/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":"2026-07-05T10:53:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZWasNI9iXFTQV11LJUkJ0aol0kXDS4Mu1epgxy0QUMksRKvh4UcNKpkTxqTF7OjXv3New92brimWKEQ4l3I1BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-18T16:25:05.002036Z"},"content_sha256":"4a5cad4f56ca8b949e4fbcea704d97084c82f5dded7e94dcf1beaa8893451a50","schema_version":"1.0","event_id":"sha256:4a5cad4f56ca8b949e4fbcea704d97084c82f5dded7e94dcf1beaa8893451a50"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YOIP7LRDKJCNT26NZWEEJ2RIST/bundle.json","state_url":"https://pith.science/pith/YOIP7LRDKJCNT26NZWEEJ2RIST/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YOIP7LRDKJCNT26NZWEEJ2RIST/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":"2026-07-18T16:25:05Z","links":{"resolver":"https://pith.science/pith/YOIP7LRDKJCNT26NZWEEJ2RIST","bundle":"https://pith.science/pith/YOIP7LRDKJCNT26NZWEEJ2RIST/bundle.json","state":"https://pith.science/pith/YOIP7LRDKJCNT26NZWEEJ2RIST/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YOIP7LRDKJCNT26NZWEEJ2RIST/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:YOIP7LRDKJCNT26NZWEEJ2RIST","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":"d748fd3941116bc4b4111bdfbe19a8a8bf2e8ebd6e5a784213c2d7f690e84752","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-04-25T10:40:49Z","title_canon_sha256":"f8b4b0d07e8fd8567c799c2fc0b0302c11311f96a27c3b981d1fc76bfaa9993d"},"schema_version":"1.0","source":{"id":"2404.16495","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.16495","created_at":"2026-07-05T10:53:09Z"},{"alias_kind":"arxiv_version","alias_value":"2404.16495v3","created_at":"2026-07-05T10:53:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.16495","created_at":"2026-07-05T10:53:09Z"},{"alias_kind":"pith_short_12","alias_value":"YOIP7LRDKJCN","created_at":"2026-07-05T10:53:09Z"},{"alias_kind":"pith_short_16","alias_value":"YOIP7LRDKJCNT26N","created_at":"2026-07-05T10:53:09Z"},{"alias_kind":"pith_short_8","alias_value":"YOIP7LRD","created_at":"2026-07-05T10:53:09Z"}],"graph_snapshots":[{"event_id":"sha256:4a5cad4f56ca8b949e4fbcea704d97084c82f5dded7e94dcf1beaa8893451a50","target":"graph","created_at":"2026-07-05T10:53:09Z","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/2404.16495/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The development of machine learning applications has increased significantly in recent years, motivated by the remarkable ability of learning-powered systems to discover and generalize intricate patterns hidden in massive datasets. Modern learning models, while powerful, often exhibit a complexity level that renders them opaque black boxes, lacking transparency and hindering our understanding of their decision-making processes. Opacity challenges the practical application of machine learning, especially in critical domains requiring informed decisions. Explainable Artificial Intelligence (XAI)","authors_text":"Brian Barr, Claudio T. Silva, Evandro S. Ortigossa, F\\'abio F. Dias, Luis Gustavo Nonato","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-04-25T10:40:49Z","title":"T-Explainer: A Model-Agnostic Explainability Framework Based on Gradients"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.16495","kind":"arxiv","version":3},"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":"sha256:9b3bb42b8ee90a6963978e78dbbebbe32280fe63f3c9dfb36899ffd1f3843189","target":"record","created_at":"2026-07-05T10:53:09Z","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":"d748fd3941116bc4b4111bdfbe19a8a8bf2e8ebd6e5a784213c2d7f690e84752","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-04-25T10:40:49Z","title_canon_sha256":"f8b4b0d07e8fd8567c799c2fc0b0302c11311f96a27c3b981d1fc76bfaa9993d"},"schema_version":"1.0","source":{"id":"2404.16495","kind":"arxiv","version":3}},"canonical_sha256":"c390ffae235244d9ebcdcd8844ea2894ed9e5c537dd7311959295a03a495db06","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c390ffae235244d9ebcdcd8844ea2894ed9e5c537dd7311959295a03a495db06","first_computed_at":"2026-07-05T10:53:09.810159Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:53:09.810159Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"faKBVGaVoFNehVoh9QBXGHJjk+6rZZRLWamYqUBvHv04kMi3MGCAsRMbeg11kKnlF+E2IwjYaVQp6PqXapLPCA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:53:09.810630Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.16495","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9b3bb42b8ee90a6963978e78dbbebbe32280fe63f3c9dfb36899ffd1f3843189","sha256:4a5cad4f56ca8b949e4fbcea704d97084c82f5dded7e94dcf1beaa8893451a50"],"state_sha256":"92db9888b22db787c0c7df3865501622bb7298457802c31b55be14dbcadead1a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jTK6d/1kTTzOHawHNmQf+0EEZ6mt7phtGGOtD1pB5it/8WAZJTKPqqL7Lwe5s6xOZvAK+cdxro/H0HQ4YhILCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-18T16:25:05.004190Z","bundle_sha256":"95a13184fd21049d8d11ed1f98b35e172b4123d8f8bc2c6ed799b0510b1a002e"}}