{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:SUC67EGO22KQHRLG6FQNW4J3Q6","short_pith_number":"pith:SUC67EGO","canonical_record":{"source":{"id":"2606.02044","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-01T10:35:33Z","cross_cats_sorted":["physics.med-ph"],"title_canon_sha256":"e5e996c4d344d56eb1c965fb0c3356841faf6d78d53c3b4e7d399188aaab983c","abstract_canon_sha256":"b6a1f54d896bb50abd277b7a1ba9d631cd410dc655e3acbbaea16f98a4a14295"},"schema_version":"1.0"},"canonical_sha256":"9505ef90ced69503c566f160db713b8793b9973bafa3283884ec7269d7db61cc","source":{"kind":"arxiv","id":"2606.02044","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.02044","created_at":"2026-06-02T02:05:04Z"},{"alias_kind":"arxiv_version","alias_value":"2606.02044v1","created_at":"2026-06-02T02:05:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.02044","created_at":"2026-06-02T02:05:04Z"},{"alias_kind":"pith_short_12","alias_value":"SUC67EGO22KQ","created_at":"2026-06-02T02:05:04Z"},{"alias_kind":"pith_short_16","alias_value":"SUC67EGO22KQHRLG","created_at":"2026-06-02T02:05:04Z"},{"alias_kind":"pith_short_8","alias_value":"SUC67EGO","created_at":"2026-06-02T02:05:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:SUC67EGO22KQHRLG6FQNW4J3Q6","target":"record","payload":{"canonical_record":{"source":{"id":"2606.02044","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-01T10:35:33Z","cross_cats_sorted":["physics.med-ph"],"title_canon_sha256":"e5e996c4d344d56eb1c965fb0c3356841faf6d78d53c3b4e7d399188aaab983c","abstract_canon_sha256":"b6a1f54d896bb50abd277b7a1ba9d631cd410dc655e3acbbaea16f98a4a14295"},"schema_version":"1.0"},"canonical_sha256":"9505ef90ced69503c566f160db713b8793b9973bafa3283884ec7269d7db61cc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-02T02:05:04.365333Z","signature_b64":"HmeNLmTFeV9C0ZchV4FJvcZUtx4kBOLp6xk8zrnRg5Z6/d4vLiiGLFl8kYR9etSPYoLdJU8kJ61g0DQYgMfODg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9505ef90ced69503c566f160db713b8793b9973bafa3283884ec7269d7db61cc","last_reissued_at":"2026-06-02T02:05:04.364957Z","signature_status":"signed_v1","first_computed_at":"2026-06-02T02:05:04.364957Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.02044","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":"2026-06-02T02:05:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MCAwwoDkkYwFfHtUUpMP9eY31uBsq6W7YADc1h5gfCkrSDdBsN+tE82IOmxfMSZnRcJZq+nwl90X5rdijlrWDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T01:19:32.772739Z"},"content_sha256":"71eec6dd15c9cde62ccc8df8c4b3bc8204e11e6b625a7a39fe907a655bb55aeb","schema_version":"1.0","event_id":"sha256:71eec6dd15c9cde62ccc8df8c4b3bc8204e11e6b625a7a39fe907a655bb55aeb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:SUC67EGO22KQHRLG6FQNW4J3Q6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Realistic noise synthesis reduces bias and improves tissue microstructure estimation with supervised machine learning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["physics.med-ph"],"primary_cat":"cs.LG","authors_text":"Ali R. Khan, Bradley G. Karat, Jelle Veraart, Ma\\\"eliss Jallais, Marco Palombo, Santiago Aja-Fern\\'andez","submitted_at":"2026-06-01T10:35:33Z","abstract_excerpt":"Diffusion MRI enables non-invasive probing of tissue microstructure, but accurate parameter estimation is challenged by noise-related effects. In supervised machine learning frameworks trained on simulated data, discrepancies between the noise characteristics of simulated and acquired signals introduce a form of covariate shift, whereby the input signal distribution differs between training and inference. We investigated the impact of this mismatch on microstructure parameter estimation and propose a realistic noise synthesis (RNS) framework to mitigate it. RNS incorporates both the Rician exp"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.02044","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/2606.02044/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":"2026-06-02T02:05:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9vBCyvLTPKJv/MfAEjrERBxne39sTKED2Ujgk6r/sr07m4bJXPk7EQc1cJ6F2c8teWWIK78DQBaha0jbvJQKCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T01:19:32.773484Z"},"content_sha256":"595cab6d9e67e6e231bcd28f23d886f0d65c3738b36c77e0b3729cb44143c3a0","schema_version":"1.0","event_id":"sha256:595cab6d9e67e6e231bcd28f23d886f0d65c3738b36c77e0b3729cb44143c3a0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SUC67EGO22KQHRLG6FQNW4J3Q6/bundle.json","state_url":"https://pith.science/pith/SUC67EGO22KQHRLG6FQNW4J3Q6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SUC67EGO22KQHRLG6FQNW4J3Q6/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":"2026-06-06T01:19:32Z","links":{"resolver":"https://pith.science/pith/SUC67EGO22KQHRLG6FQNW4J3Q6","bundle":"https://pith.science/pith/SUC67EGO22KQHRLG6FQNW4J3Q6/bundle.json","state":"https://pith.science/pith/SUC67EGO22KQHRLG6FQNW4J3Q6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SUC67EGO22KQHRLG6FQNW4J3Q6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:SUC67EGO22KQHRLG6FQNW4J3Q6","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":"b6a1f54d896bb50abd277b7a1ba9d631cd410dc655e3acbbaea16f98a4a14295","cross_cats_sorted":["physics.med-ph"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-01T10:35:33Z","title_canon_sha256":"e5e996c4d344d56eb1c965fb0c3356841faf6d78d53c3b4e7d399188aaab983c"},"schema_version":"1.0","source":{"id":"2606.02044","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.02044","created_at":"2026-06-02T02:05:04Z"},{"alias_kind":"arxiv_version","alias_value":"2606.02044v1","created_at":"2026-06-02T02:05:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.02044","created_at":"2026-06-02T02:05:04Z"},{"alias_kind":"pith_short_12","alias_value":"SUC67EGO22KQ","created_at":"2026-06-02T02:05:04Z"},{"alias_kind":"pith_short_16","alias_value":"SUC67EGO22KQHRLG","created_at":"2026-06-02T02:05:04Z"},{"alias_kind":"pith_short_8","alias_value":"SUC67EGO","created_at":"2026-06-02T02:05:04Z"}],"graph_snapshots":[{"event_id":"sha256:595cab6d9e67e6e231bcd28f23d886f0d65c3738b36c77e0b3729cb44143c3a0","target":"graph","created_at":"2026-06-02T02:05:04Z","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/2606.02044/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Diffusion MRI enables non-invasive probing of tissue microstructure, but accurate parameter estimation is challenged by noise-related effects. In supervised machine learning frameworks trained on simulated data, discrepancies between the noise characteristics of simulated and acquired signals introduce a form of covariate shift, whereby the input signal distribution differs between training and inference. We investigated the impact of this mismatch on microstructure parameter estimation and propose a realistic noise synthesis (RNS) framework to mitigate it. RNS incorporates both the Rician exp","authors_text":"Ali R. Khan, Bradley G. Karat, Jelle Veraart, Ma\\\"eliss Jallais, Marco Palombo, Santiago Aja-Fern\\'andez","cross_cats":["physics.med-ph"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-01T10:35:33Z","title":"Realistic noise synthesis reduces bias and improves tissue microstructure estimation with supervised machine learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.02044","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":"sha256:71eec6dd15c9cde62ccc8df8c4b3bc8204e11e6b625a7a39fe907a655bb55aeb","target":"record","created_at":"2026-06-02T02:05:04Z","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":"b6a1f54d896bb50abd277b7a1ba9d631cd410dc655e3acbbaea16f98a4a14295","cross_cats_sorted":["physics.med-ph"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-01T10:35:33Z","title_canon_sha256":"e5e996c4d344d56eb1c965fb0c3356841faf6d78d53c3b4e7d399188aaab983c"},"schema_version":"1.0","source":{"id":"2606.02044","kind":"arxiv","version":1}},"canonical_sha256":"9505ef90ced69503c566f160db713b8793b9973bafa3283884ec7269d7db61cc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9505ef90ced69503c566f160db713b8793b9973bafa3283884ec7269d7db61cc","first_computed_at":"2026-06-02T02:05:04.364957Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-02T02:05:04.364957Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HmeNLmTFeV9C0ZchV4FJvcZUtx4kBOLp6xk8zrnRg5Z6/d4vLiiGLFl8kYR9etSPYoLdJU8kJ61g0DQYgMfODg==","signature_status":"signed_v1","signed_at":"2026-06-02T02:05:04.365333Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.02044","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:71eec6dd15c9cde62ccc8df8c4b3bc8204e11e6b625a7a39fe907a655bb55aeb","sha256:595cab6d9e67e6e231bcd28f23d886f0d65c3738b36c77e0b3729cb44143c3a0"],"state_sha256":"f635069576b878cb231505223814195cf0c3b4bb89381339b1be09807757cb6f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jd6X+AwqW1VdX4mxWNEfke18tFppuAH33W9RN93rrR5LxEOGSYL0so976NDaQ6h4bVO4l8sZvnFiO1xk006wBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-06T01:19:32.776953Z","bundle_sha256":"350bd912ee2c1b7bebb1e198d20cccebe1143802b2f40bdc74e3ba1c645869a4"}}