{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:CD2A3QFNDEO3ANAJSO7QLNRGVK","short_pith_number":"pith:CD2A3QFN","canonical_record":{"source":{"id":"2202.10847","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2022-02-22T12:19:03Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"84b06bd6ccd0000f7e05c4c1b9a9b041d234b33830998e52b8fe134d0cbc33aa","abstract_canon_sha256":"9dadc98c70ac6dd607c709927a6b198670650371cea9716fafd66eda38fb57dc"},"schema_version":"1.0"},"canonical_sha256":"10f40dc0ad191db0340993bf05b626aa855ad408c53f6279b899af5c2bec4f28","source":{"kind":"arxiv","id":"2202.10847","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.10847","created_at":"2026-07-05T06:06:28Z"},{"alias_kind":"arxiv_version","alias_value":"2202.10847v3","created_at":"2026-07-05T06:06:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.10847","created_at":"2026-07-05T06:06:28Z"},{"alias_kind":"pith_short_12","alias_value":"CD2A3QFNDEO3","created_at":"2026-07-05T06:06:28Z"},{"alias_kind":"pith_short_16","alias_value":"CD2A3QFNDEO3ANAJ","created_at":"2026-07-05T06:06:28Z"},{"alias_kind":"pith_short_8","alias_value":"CD2A3QFN","created_at":"2026-07-05T06:06:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:CD2A3QFNDEO3ANAJSO7QLNRGVK","target":"record","payload":{"canonical_record":{"source":{"id":"2202.10847","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2022-02-22T12:19:03Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"84b06bd6ccd0000f7e05c4c1b9a9b041d234b33830998e52b8fe134d0cbc33aa","abstract_canon_sha256":"9dadc98c70ac6dd607c709927a6b198670650371cea9716fafd66eda38fb57dc"},"schema_version":"1.0"},"canonical_sha256":"10f40dc0ad191db0340993bf05b626aa855ad408c53f6279b899af5c2bec4f28","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:06:28.399919Z","signature_b64":"7tT+LuDd5gsAjW+Mt5YOCczG9yny+ntHFPXlS5olZHpYuNXF8wbVDCkcaUQ5gG/wtML+6GZBzUIWoSF3p6i7Cg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"10f40dc0ad191db0340993bf05b626aa855ad408c53f6279b899af5c2bec4f28","last_reissued_at":"2026-07-05T06:06:28.399442Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:06:28.399442Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2202.10847","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":"2026-07-05T06:06:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ePAwzNrjVcQqOp5/Wngt/0rEr5/xtaPqMIIVorkmqDR35eMj1Ri/EtS6+FvfASOsEc6PZRUG7tvmpTUfNwxgBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-10T14:13:06.095685Z"},"content_sha256":"c2378abd3e293186d82b8a1dedc36f919e6aba2de35792141663430534e2a1ec","schema_version":"1.0","event_id":"sha256:c2378abd3e293186d82b8a1dedc36f919e6aba2de35792141663430534e2a1ec"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:CD2A3QFNDEO3ANAJSO7QLNRGVK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"UncertaINR: Uncertainty Quantification of End-to-End Implicit Neural Representations for Computed Tomography","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","cs.LG"],"primary_cat":"eess.IV","authors_text":"Bobby He, Francisca Vasconcelos, Nalini Singh, Yee Whye Teh","submitted_at":"2022-02-22T12:19:03Z","abstract_excerpt":"Implicit neural representations (INRs) have achieved impressive results for scene reconstruction and computer graphics, where their performance has primarily been assessed on reconstruction accuracy. As INRs make their way into other domains, where model predictions inform high-stakes decision-making, uncertainty quantification of INR inference is becoming critical. To that end, we study a Bayesian reformulation of INRs, UncertaINR, in the context of computed tomography, and evaluate several Bayesian deep learning implementations in terms of accuracy and calibration. We find that they achieve "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.10847","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/2202.10847/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":"2026-07-05T06:06:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"j+Qv4Q1YB5hg53UXavRA67ytEiGObAfAThabjaMit/JfiiJvEKMxPX3hRexxFS7lhQpviTAcRLTIfByxjY8yCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-10T14:13:06.096075Z"},"content_sha256":"e3f208a9d253c8acf684c1e8fd7b8f0deac8c02fd78cdbe247d70336bce59975","schema_version":"1.0","event_id":"sha256:e3f208a9d253c8acf684c1e8fd7b8f0deac8c02fd78cdbe247d70336bce59975"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CD2A3QFNDEO3ANAJSO7QLNRGVK/bundle.json","state_url":"https://pith.science/pith/CD2A3QFNDEO3ANAJSO7QLNRGVK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CD2A3QFNDEO3ANAJSO7QLNRGVK/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":"2026-07-10T14:13:06Z","links":{"resolver":"https://pith.science/pith/CD2A3QFNDEO3ANAJSO7QLNRGVK","bundle":"https://pith.science/pith/CD2A3QFNDEO3ANAJSO7QLNRGVK/bundle.json","state":"https://pith.science/pith/CD2A3QFNDEO3ANAJSO7QLNRGVK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CD2A3QFNDEO3ANAJSO7QLNRGVK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:CD2A3QFNDEO3ANAJSO7QLNRGVK","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":"9dadc98c70ac6dd607c709927a6b198670650371cea9716fafd66eda38fb57dc","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2022-02-22T12:19:03Z","title_canon_sha256":"84b06bd6ccd0000f7e05c4c1b9a9b041d234b33830998e52b8fe134d0cbc33aa"},"schema_version":"1.0","source":{"id":"2202.10847","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.10847","created_at":"2026-07-05T06:06:28Z"},{"alias_kind":"arxiv_version","alias_value":"2202.10847v3","created_at":"2026-07-05T06:06:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.10847","created_at":"2026-07-05T06:06:28Z"},{"alias_kind":"pith_short_12","alias_value":"CD2A3QFNDEO3","created_at":"2026-07-05T06:06:28Z"},{"alias_kind":"pith_short_16","alias_value":"CD2A3QFNDEO3ANAJ","created_at":"2026-07-05T06:06:28Z"},{"alias_kind":"pith_short_8","alias_value":"CD2A3QFN","created_at":"2026-07-05T06:06:28Z"}],"graph_snapshots":[{"event_id":"sha256:e3f208a9d253c8acf684c1e8fd7b8f0deac8c02fd78cdbe247d70336bce59975","target":"graph","created_at":"2026-07-05T06:06:28Z","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/2202.10847/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Implicit neural representations (INRs) have achieved impressive results for scene reconstruction and computer graphics, where their performance has primarily been assessed on reconstruction accuracy. As INRs make their way into other domains, where model predictions inform high-stakes decision-making, uncertainty quantification of INR inference is becoming critical. To that end, we study a Bayesian reformulation of INRs, UncertaINR, in the context of computed tomography, and evaluate several Bayesian deep learning implementations in terms of accuracy and calibration. We find that they achieve ","authors_text":"Bobby He, Francisca Vasconcelos, Nalini Singh, Yee Whye Teh","cross_cats":["cs.CV","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2022-02-22T12:19:03Z","title":"UncertaINR: Uncertainty Quantification of End-to-End Implicit Neural Representations for Computed Tomography"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.10847","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:c2378abd3e293186d82b8a1dedc36f919e6aba2de35792141663430534e2a1ec","target":"record","created_at":"2026-07-05T06:06:28Z","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":"9dadc98c70ac6dd607c709927a6b198670650371cea9716fafd66eda38fb57dc","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2022-02-22T12:19:03Z","title_canon_sha256":"84b06bd6ccd0000f7e05c4c1b9a9b041d234b33830998e52b8fe134d0cbc33aa"},"schema_version":"1.0","source":{"id":"2202.10847","kind":"arxiv","version":3}},"canonical_sha256":"10f40dc0ad191db0340993bf05b626aa855ad408c53f6279b899af5c2bec4f28","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"10f40dc0ad191db0340993bf05b626aa855ad408c53f6279b899af5c2bec4f28","first_computed_at":"2026-07-05T06:06:28.399442Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:06:28.399442Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7tT+LuDd5gsAjW+Mt5YOCczG9yny+ntHFPXlS5olZHpYuNXF8wbVDCkcaUQ5gG/wtML+6GZBzUIWoSF3p6i7Cg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:06:28.399919Z","signed_message":"canonical_sha256_bytes"},"source_id":"2202.10847","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c2378abd3e293186d82b8a1dedc36f919e6aba2de35792141663430534e2a1ec","sha256:e3f208a9d253c8acf684c1e8fd7b8f0deac8c02fd78cdbe247d70336bce59975"],"state_sha256":"443a4325c92c1fd35325ed721400dfc5a04d63dbe6d3ff7c3783fa361b917a41"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Zx4caOKnBMZmj6+TEmzQYSM4iHAQO6Rd+0RU/2e/KH6nUktrjWcTG7paFCsoe6xRcqSZcSAoD2ePkwyBxxytAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-10T14:13:06.098669Z","bundle_sha256":"e3d749a94a962e2654b326315432bb056903b19a60bcbc0e95cb30ef9c8dee25"}}