{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:KQP3IC6VXDWOSD3CJALV3MW2OI","short_pith_number":"pith:KQP3IC6V","canonical_record":{"source":{"id":"2506.19895","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-06-24T11:10:41Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"5cb162408b72a95260380e6c8c18ef180185b8ce726032a396e68b04b145b421","abstract_canon_sha256":"48899d98bb0465c4c517bf52674611c0bdb4b39f4a4ca0bda78581f71a74bb7d"},"schema_version":"1.0"},"canonical_sha256":"541fb40bd5b8ece90f6248175db2da72147eb7daf241a7411be53e7ae445aa8a","source":{"kind":"arxiv","id":"2506.19895","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.19895","created_at":"2026-07-05T11:26:55Z"},{"alias_kind":"arxiv_version","alias_value":"2506.19895v1","created_at":"2026-07-05T11:26:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.19895","created_at":"2026-07-05T11:26:55Z"},{"alias_kind":"pith_short_12","alias_value":"KQP3IC6VXDWO","created_at":"2026-07-05T11:26:55Z"},{"alias_kind":"pith_short_16","alias_value":"KQP3IC6VXDWOSD3C","created_at":"2026-07-05T11:26:55Z"},{"alias_kind":"pith_short_8","alias_value":"KQP3IC6V","created_at":"2026-07-05T11:26:55Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:KQP3IC6VXDWOSD3CJALV3MW2OI","target":"record","payload":{"canonical_record":{"source":{"id":"2506.19895","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-06-24T11:10:41Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"5cb162408b72a95260380e6c8c18ef180185b8ce726032a396e68b04b145b421","abstract_canon_sha256":"48899d98bb0465c4c517bf52674611c0bdb4b39f4a4ca0bda78581f71a74bb7d"},"schema_version":"1.0"},"canonical_sha256":"541fb40bd5b8ece90f6248175db2da72147eb7daf241a7411be53e7ae445aa8a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:26:55.058970Z","signature_b64":"4s3ZGpYHtsBlpCr+KHfpCqY5RGILzo5RCioZKUDxEEGtToatRiPm8aPjFa2yXVnItx05qy426cMRB20bxIgeAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"541fb40bd5b8ece90f6248175db2da72147eb7daf241a7411be53e7ae445aa8a","last_reissued_at":"2026-07-05T11:26:55.058560Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:26:55.058560Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.19895","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":"2026-07-05T11:26:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"or18s7oyt6+uzqf8lkuqr1XRXTgxcSIcuOTVZ3sb2COqm++SgIOopPbrb580T8J58tUl1STHRyV3VbQs9IDrAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T12:15:16.441599Z"},"content_sha256":"8e31c1a23f70fdf39afba9232fe792ed9bdc2d6affe8e257623ff5ad91a3a93b","schema_version":"1.0","event_id":"sha256:8e31c1a23f70fdf39afba9232fe792ed9bdc2d6affe8e257623ff5ad91a3a93b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:KQP3IC6VXDWOSD3CJALV3MW2OI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Framework for Uncertainty Quantification Based on Nearest Neighbors Across Layers","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Carlos M. Ala\\'iz, Jos\\'e L. Jorro-Aragoneses, Miguel N. Font","submitted_at":"2025-06-24T11:10:41Z","abstract_excerpt":"Neural Networks have high accuracy in solving problems where it is difficult to detect patterns or create a logical model. However, these algorithms sometimes return wrong solutions, which become problematic in high-risk domains like medical diagnosis or autonomous driving. One strategy to detect and mitigate these errors is the measurement of the uncertainty over neural network decisions. In this paper, we present a novel post-hoc framework for measuring the uncertainty of a decision based on retrieved training cases that have a similar activation vector to the query for each layer. Based on "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.19895","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/2506.19895/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":"2026-07-05T11:26:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fZYli+Kyfkp+aPPGZSpUJ98LeeoZP7C2z3U+5HGnEER/8tCrlW+E9PVYFpeAmaUrxBIidNru9YI4vVnAlGVJBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T12:15:16.442528Z"},"content_sha256":"49b2accc5b9f09b66ce305f76276ff1fddc0e2d49f71bd5ff484590c21ddc485","schema_version":"1.0","event_id":"sha256:49b2accc5b9f09b66ce305f76276ff1fddc0e2d49f71bd5ff484590c21ddc485"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KQP3IC6VXDWOSD3CJALV3MW2OI/bundle.json","state_url":"https://pith.science/pith/KQP3IC6VXDWOSD3CJALV3MW2OI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KQP3IC6VXDWOSD3CJALV3MW2OI/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":"2026-08-07T12:15:16Z","links":{"resolver":"https://pith.science/pith/KQP3IC6VXDWOSD3CJALV3MW2OI","bundle":"https://pith.science/pith/KQP3IC6VXDWOSD3CJALV3MW2OI/bundle.json","state":"https://pith.science/pith/KQP3IC6VXDWOSD3CJALV3MW2OI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KQP3IC6VXDWOSD3CJALV3MW2OI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:KQP3IC6VXDWOSD3CJALV3MW2OI","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":"48899d98bb0465c4c517bf52674611c0bdb4b39f4a4ca0bda78581f71a74bb7d","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-06-24T11:10:41Z","title_canon_sha256":"5cb162408b72a95260380e6c8c18ef180185b8ce726032a396e68b04b145b421"},"schema_version":"1.0","source":{"id":"2506.19895","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.19895","created_at":"2026-07-05T11:26:55Z"},{"alias_kind":"arxiv_version","alias_value":"2506.19895v1","created_at":"2026-07-05T11:26:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.19895","created_at":"2026-07-05T11:26:55Z"},{"alias_kind":"pith_short_12","alias_value":"KQP3IC6VXDWO","created_at":"2026-07-05T11:26:55Z"},{"alias_kind":"pith_short_16","alias_value":"KQP3IC6VXDWOSD3C","created_at":"2026-07-05T11:26:55Z"},{"alias_kind":"pith_short_8","alias_value":"KQP3IC6V","created_at":"2026-07-05T11:26:55Z"}],"graph_snapshots":[{"event_id":"sha256:49b2accc5b9f09b66ce305f76276ff1fddc0e2d49f71bd5ff484590c21ddc485","target":"graph","created_at":"2026-07-05T11:26:55Z","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/2506.19895/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Neural Networks have high accuracy in solving problems where it is difficult to detect patterns or create a logical model. However, these algorithms sometimes return wrong solutions, which become problematic in high-risk domains like medical diagnosis or autonomous driving. One strategy to detect and mitigate these errors is the measurement of the uncertainty over neural network decisions. In this paper, we present a novel post-hoc framework for measuring the uncertainty of a decision based on retrieved training cases that have a similar activation vector to the query for each layer. Based on ","authors_text":"Carlos M. Ala\\'iz, Jos\\'e L. Jorro-Aragoneses, Miguel N. Font","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-06-24T11:10:41Z","title":"A Framework for Uncertainty Quantification Based on Nearest Neighbors Across Layers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.19895","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":"sha256:8e31c1a23f70fdf39afba9232fe792ed9bdc2d6affe8e257623ff5ad91a3a93b","target":"record","created_at":"2026-07-05T11:26:55Z","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":"48899d98bb0465c4c517bf52674611c0bdb4b39f4a4ca0bda78581f71a74bb7d","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-06-24T11:10:41Z","title_canon_sha256":"5cb162408b72a95260380e6c8c18ef180185b8ce726032a396e68b04b145b421"},"schema_version":"1.0","source":{"id":"2506.19895","kind":"arxiv","version":1}},"canonical_sha256":"541fb40bd5b8ece90f6248175db2da72147eb7daf241a7411be53e7ae445aa8a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"541fb40bd5b8ece90f6248175db2da72147eb7daf241a7411be53e7ae445aa8a","first_computed_at":"2026-07-05T11:26:55.058560Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:26:55.058560Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4s3ZGpYHtsBlpCr+KHfpCqY5RGILzo5RCioZKUDxEEGtToatRiPm8aPjFa2yXVnItx05qy426cMRB20bxIgeAA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:26:55.058970Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.19895","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8e31c1a23f70fdf39afba9232fe792ed9bdc2d6affe8e257623ff5ad91a3a93b","sha256:49b2accc5b9f09b66ce305f76276ff1fddc0e2d49f71bd5ff484590c21ddc485"],"state_sha256":"90444cba852d22ace4421acf8fd9640ea34a53aecb0163eaa1da68c6b13908a7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2W7vGhSlhbKIrFrOwnlbNguhSF+7OQOvI0dIQvLV/al9HYnzjNOODmJ81m3KLBlCAmuXFQuaU4yhlB3jjr5oBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T12:15:16.451196Z","bundle_sha256":"36447d7cf2b771d6bbb5275c56566e99344d0f06c08dfe03538098427d89adc5"}}