{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:BORFBOO4X7HPMATT4RWKG2THJD","short_pith_number":"pith:BORFBOO4","canonical_record":{"source":{"id":"2606.15837","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-14T14:36:59Z","cross_cats_sorted":["cs.LG","stat.ME","stat.ML"],"title_canon_sha256":"3ffc2428167d6b6fb7778e6281041e59e9e4f792a42dfd52df08d7b5625beeb1","abstract_canon_sha256":"9da3f6ad4ff38b9cc0541be110dedfd811e002d6f63ff2d07d10f857b3d2e494"},"schema_version":"1.0"},"canonical_sha256":"0ba250b9dcbfcef60273e46ca36a6748e8e51986ad4c48ea18249417375fc4fe","source":{"kind":"arxiv","id":"2606.15837","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.15837","created_at":"2026-07-01T01:17:52Z"},{"alias_kind":"arxiv_version","alias_value":"2606.15837v2","created_at":"2026-07-01T01:17:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.15837","created_at":"2026-07-01T01:17:52Z"},{"alias_kind":"pith_short_12","alias_value":"BORFBOO4X7HP","created_at":"2026-07-01T01:17:52Z"},{"alias_kind":"pith_short_16","alias_value":"BORFBOO4X7HPMATT","created_at":"2026-07-01T01:17:52Z"},{"alias_kind":"pith_short_8","alias_value":"BORFBOO4","created_at":"2026-07-01T01:17:52Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:BORFBOO4X7HPMATT4RWKG2THJD","target":"record","payload":{"canonical_record":{"source":{"id":"2606.15837","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-14T14:36:59Z","cross_cats_sorted":["cs.LG","stat.ME","stat.ML"],"title_canon_sha256":"3ffc2428167d6b6fb7778e6281041e59e9e4f792a42dfd52df08d7b5625beeb1","abstract_canon_sha256":"9da3f6ad4ff38b9cc0541be110dedfd811e002d6f63ff2d07d10f857b3d2e494"},"schema_version":"1.0"},"canonical_sha256":"0ba250b9dcbfcef60273e46ca36a6748e8e51986ad4c48ea18249417375fc4fe","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-01T01:17:52.934659Z","signature_b64":"5PNeZUHB22jZ068xuwamMTJiUu9YyEKwPrBEEfdRefAkyuBSYVsqOQB9BqlPa/5Pr3RaMwyNAQxIpul0N/kyAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0ba250b9dcbfcef60273e46ca36a6748e8e51986ad4c48ea18249417375fc4fe","last_reissued_at":"2026-07-01T01:17:52.934222Z","signature_status":"signed_v1","first_computed_at":"2026-07-01T01:17:52.934222Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.15837","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":"2026-07-01T01:17:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WyrWzKgGVUn3eLoJJf8rANqkCTVupqFRE4adh3C2tlA+4JfHDayRRhcveggCtyTh+RHC1TsEj5/pjwmPtGJrCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-02T04:45:00.327792Z"},"content_sha256":"0c4336e427eef7e9c4e2e14b56ab2c8f4e234a9745bd324f83eea95f658d3b69","schema_version":"1.0","event_id":"sha256:0c4336e427eef7e9c4e2e14b56ab2c8f4e234a9745bd324f83eea95f658d3b69"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:BORFBOO4X7HPMATT4RWKG2THJD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning a Sampling-Free Variational DNN Plugin from Tiny Training Sets to Refine OOD Segmentation With Uncertainty Estimation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG","stat.ME","stat.ML"],"primary_cat":"cs.CV","authors_text":"Jimut B. Pal, Suyash P. Awate","submitted_at":"2026-06-14T14:36:59Z","abstract_excerpt":"Deep neural networks (DNNs) frequently fail to generalize to out-of-distribution (OOD) medical images because of variations in scanners and acquisition protocols. Retraining DNN models to address these distribution shifts is often impractical due to the high cost of acquiring and annotating new medical datasets. To address this, we introduce VarDeepPCA, a novel lightweight variational DNN framework designed to restore/refine degraded segmentation maps by leveraging intrinsic geometric priors. Unlike existing approaches that require target-domain data or extensive pre-training, our VarDeepPCA e"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.15837","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/2606.15837/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":"2026-07-01T01:17:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"G7hqqEl80NlxEqN7ZWldfg8uUKhCLI7Lc6YFLn5FR1a787TkBnvBXlSnqoAN+XMK5gQxc8XhyEiu4Lb2CeiMBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-02T04:45:00.328161Z"},"content_sha256":"0dbe6873584e8fee9f788133e4efa68c3df0a3b5ab4370adb888860c89485385","schema_version":"1.0","event_id":"sha256:0dbe6873584e8fee9f788133e4efa68c3df0a3b5ab4370adb888860c89485385"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BORFBOO4X7HPMATT4RWKG2THJD/bundle.json","state_url":"https://pith.science/pith/BORFBOO4X7HPMATT4RWKG2THJD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BORFBOO4X7HPMATT4RWKG2THJD/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":"2026-07-02T04:45:00Z","links":{"resolver":"https://pith.science/pith/BORFBOO4X7HPMATT4RWKG2THJD","bundle":"https://pith.science/pith/BORFBOO4X7HPMATT4RWKG2THJD/bundle.json","state":"https://pith.science/pith/BORFBOO4X7HPMATT4RWKG2THJD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BORFBOO4X7HPMATT4RWKG2THJD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:BORFBOO4X7HPMATT4RWKG2THJD","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":"9da3f6ad4ff38b9cc0541be110dedfd811e002d6f63ff2d07d10f857b3d2e494","cross_cats_sorted":["cs.LG","stat.ME","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-14T14:36:59Z","title_canon_sha256":"3ffc2428167d6b6fb7778e6281041e59e9e4f792a42dfd52df08d7b5625beeb1"},"schema_version":"1.0","source":{"id":"2606.15837","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.15837","created_at":"2026-07-01T01:17:52Z"},{"alias_kind":"arxiv_version","alias_value":"2606.15837v2","created_at":"2026-07-01T01:17:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.15837","created_at":"2026-07-01T01:17:52Z"},{"alias_kind":"pith_short_12","alias_value":"BORFBOO4X7HP","created_at":"2026-07-01T01:17:52Z"},{"alias_kind":"pith_short_16","alias_value":"BORFBOO4X7HPMATT","created_at":"2026-07-01T01:17:52Z"},{"alias_kind":"pith_short_8","alias_value":"BORFBOO4","created_at":"2026-07-01T01:17:52Z"}],"graph_snapshots":[{"event_id":"sha256:0dbe6873584e8fee9f788133e4efa68c3df0a3b5ab4370adb888860c89485385","target":"graph","created_at":"2026-07-01T01:17:52Z","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/2606.15837/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep neural networks (DNNs) frequently fail to generalize to out-of-distribution (OOD) medical images because of variations in scanners and acquisition protocols. Retraining DNN models to address these distribution shifts is often impractical due to the high cost of acquiring and annotating new medical datasets. To address this, we introduce VarDeepPCA, a novel lightweight variational DNN framework designed to restore/refine degraded segmentation maps by leveraging intrinsic geometric priors. Unlike existing approaches that require target-domain data or extensive pre-training, our VarDeepPCA e","authors_text":"Jimut B. Pal, Suyash P. Awate","cross_cats":["cs.LG","stat.ME","stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-14T14:36:59Z","title":"Learning a Sampling-Free Variational DNN Plugin from Tiny Training Sets to Refine OOD Segmentation With Uncertainty Estimation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.15837","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":"sha256:0c4336e427eef7e9c4e2e14b56ab2c8f4e234a9745bd324f83eea95f658d3b69","target":"record","created_at":"2026-07-01T01:17:52Z","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":"9da3f6ad4ff38b9cc0541be110dedfd811e002d6f63ff2d07d10f857b3d2e494","cross_cats_sorted":["cs.LG","stat.ME","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-14T14:36:59Z","title_canon_sha256":"3ffc2428167d6b6fb7778e6281041e59e9e4f792a42dfd52df08d7b5625beeb1"},"schema_version":"1.0","source":{"id":"2606.15837","kind":"arxiv","version":2}},"canonical_sha256":"0ba250b9dcbfcef60273e46ca36a6748e8e51986ad4c48ea18249417375fc4fe","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0ba250b9dcbfcef60273e46ca36a6748e8e51986ad4c48ea18249417375fc4fe","first_computed_at":"2026-07-01T01:17:52.934222Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-01T01:17:52.934222Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5PNeZUHB22jZ068xuwamMTJiUu9YyEKwPrBEEfdRefAkyuBSYVsqOQB9BqlPa/5Pr3RaMwyNAQxIpul0N/kyAg==","signature_status":"signed_v1","signed_at":"2026-07-01T01:17:52.934659Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.15837","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0c4336e427eef7e9c4e2e14b56ab2c8f4e234a9745bd324f83eea95f658d3b69","sha256:0dbe6873584e8fee9f788133e4efa68c3df0a3b5ab4370adb888860c89485385"],"state_sha256":"cdf5de9fda5d25f55c931834dd0cb412bcd16a91451007c65b3ee3e80f4a0dc7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SMejyzI72fBvYltD5ig9y0xslANm7I1xe+MjO5LAiIzHcqoFTE+YZD7PhkE5isa1VFYxbFR8jIbaBOxP0LtuCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-02T04:45:00.330261Z","bundle_sha256":"e7ddca6da9f5d693d606c5deece0234aa5375d472ca4cddd23efa524a2618897"}}