{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:IK5BBAOM7YDT6LBFDYRNV6C46L","short_pith_number":"pith:IK5BBAOM","canonical_record":{"source":{"id":"2307.01346","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-07-03T20:39:48Z","cross_cats_sorted":["cs.LG","eess.IV"],"title_canon_sha256":"cbb219b85af00efe68980fd412d45dd6f50ad2ed72917c6b672e7207e1b5da70","abstract_canon_sha256":"0012e32f7067cdf4a6b3efa86673a8b12f1d32ab392726e5c7488022e42416dd"},"schema_version":"1.0"},"canonical_sha256":"42ba1081ccfe073f2c251e22daf85cf2f8950555e5b1353b0fb1ae90558ac774","source":{"kind":"arxiv","id":"2307.01346","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.01346","created_at":"2026-07-05T06:27:55Z"},{"alias_kind":"arxiv_version","alias_value":"2307.01346v1","created_at":"2026-07-05T06:27:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.01346","created_at":"2026-07-05T06:27:55Z"},{"alias_kind":"pith_short_12","alias_value":"IK5BBAOM7YDT","created_at":"2026-07-05T06:27:55Z"},{"alias_kind":"pith_short_16","alias_value":"IK5BBAOM7YDT6LBF","created_at":"2026-07-05T06:27:55Z"},{"alias_kind":"pith_short_8","alias_value":"IK5BBAOM","created_at":"2026-07-05T06:27:55Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:IK5BBAOM7YDT6LBFDYRNV6C46L","target":"record","payload":{"canonical_record":{"source":{"id":"2307.01346","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-07-03T20:39:48Z","cross_cats_sorted":["cs.LG","eess.IV"],"title_canon_sha256":"cbb219b85af00efe68980fd412d45dd6f50ad2ed72917c6b672e7207e1b5da70","abstract_canon_sha256":"0012e32f7067cdf4a6b3efa86673a8b12f1d32ab392726e5c7488022e42416dd"},"schema_version":"1.0"},"canonical_sha256":"42ba1081ccfe073f2c251e22daf85cf2f8950555e5b1353b0fb1ae90558ac774","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:27:55.207003Z","signature_b64":"QIg2uUxEGo0GTJjlOrPcsjDzWLAiSCRr60kYJlu1n5cwwnORKvOWfStTAQUtTPbqvDhCsrqDcqLdRUGrBcRYCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"42ba1081ccfe073f2c251e22daf85cf2f8950555e5b1353b0fb1ae90558ac774","last_reissued_at":"2026-07-05T06:27:55.206543Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:27:55.206543Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2307.01346","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":"2026-07-05T06:27:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fUHtk0lY7NpQ/bW8ruM7b/ZoEWGXQCz1VNd8K4gq2Z4SFEsL3bgZ9xZCTyp+p9jvEiHWj+fPYKjTE2bza+yaDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T07:09:00.110200Z"},"content_sha256":"0e92b98b1e840675aaff4d6b1f66330c721acba379da64e1c52241754f9dabb2","schema_version":"1.0","event_id":"sha256:0e92b98b1e840675aaff4d6b1f66330c721acba379da64e1c52241754f9dabb2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:IK5BBAOM7YDT6LBFDYRNV6C46L","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Patch-CNN: Training data-efficient deep learning for high-fidelity diffusion tensor estimation from minimal diffusion protocols","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.LG","eess.IV"],"primary_cat":"cs.CV","authors_text":"Hui Zhang, Parashkev Nachev, Robert Gray, Ting Gong, Tobias Goodwin-Allcock","submitted_at":"2023-07-03T20:39:48Z","abstract_excerpt":"We propose a new method, Patch-CNN, for diffusion tensor (DT) estimation from only six-direction diffusion weighted images (DWI). Deep learning-based methods have been recently proposed for dMRI parameter estimation, using either voxel-wise fully-connected neural networks (FCN) or image-wise convolutional neural networks (CNN). In the acute clinical context -- where pressure of time limits the number of imaged directions to a minimum -- existing approaches either require an infeasible number of training images volumes (image-wise CNNs), or do not estimate the fibre orientations (voxel-wise FCN"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.01346","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/2307.01346/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":"2026-07-05T06:27:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LzAVZEvkWo+Ogm/rHoex8HGl+ZqRm2/6368WsS9l/hSQAGaQGMzn2xW8L0D95L9x6tRK+DCMQFtA4ac+n6dOBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T07:09:00.110747Z"},"content_sha256":"55b8c779352b7f3029f1a6c5418831114bd6d030361f831f91f1122334b91643","schema_version":"1.0","event_id":"sha256:55b8c779352b7f3029f1a6c5418831114bd6d030361f831f91f1122334b91643"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IK5BBAOM7YDT6LBFDYRNV6C46L/bundle.json","state_url":"https://pith.science/pith/IK5BBAOM7YDT6LBFDYRNV6C46L/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IK5BBAOM7YDT6LBFDYRNV6C46L/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":"2026-08-05T07:09:00Z","links":{"resolver":"https://pith.science/pith/IK5BBAOM7YDT6LBFDYRNV6C46L","bundle":"https://pith.science/pith/IK5BBAOM7YDT6LBFDYRNV6C46L/bundle.json","state":"https://pith.science/pith/IK5BBAOM7YDT6LBFDYRNV6C46L/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IK5BBAOM7YDT6LBFDYRNV6C46L/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:IK5BBAOM7YDT6LBFDYRNV6C46L","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":"0012e32f7067cdf4a6b3efa86673a8b12f1d32ab392726e5c7488022e42416dd","cross_cats_sorted":["cs.LG","eess.IV"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-07-03T20:39:48Z","title_canon_sha256":"cbb219b85af00efe68980fd412d45dd6f50ad2ed72917c6b672e7207e1b5da70"},"schema_version":"1.0","source":{"id":"2307.01346","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.01346","created_at":"2026-07-05T06:27:55Z"},{"alias_kind":"arxiv_version","alias_value":"2307.01346v1","created_at":"2026-07-05T06:27:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.01346","created_at":"2026-07-05T06:27:55Z"},{"alias_kind":"pith_short_12","alias_value":"IK5BBAOM7YDT","created_at":"2026-07-05T06:27:55Z"},{"alias_kind":"pith_short_16","alias_value":"IK5BBAOM7YDT6LBF","created_at":"2026-07-05T06:27:55Z"},{"alias_kind":"pith_short_8","alias_value":"IK5BBAOM","created_at":"2026-07-05T06:27:55Z"}],"graph_snapshots":[{"event_id":"sha256:55b8c779352b7f3029f1a6c5418831114bd6d030361f831f91f1122334b91643","target":"graph","created_at":"2026-07-05T06:27:55Z","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/2307.01346/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose a new method, Patch-CNN, for diffusion tensor (DT) estimation from only six-direction diffusion weighted images (DWI). Deep learning-based methods have been recently proposed for dMRI parameter estimation, using either voxel-wise fully-connected neural networks (FCN) or image-wise convolutional neural networks (CNN). In the acute clinical context -- where pressure of time limits the number of imaged directions to a minimum -- existing approaches either require an infeasible number of training images volumes (image-wise CNNs), or do not estimate the fibre orientations (voxel-wise FCN","authors_text":"Hui Zhang, Parashkev Nachev, Robert Gray, Ting Gong, Tobias Goodwin-Allcock","cross_cats":["cs.LG","eess.IV"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-07-03T20:39:48Z","title":"Patch-CNN: Training data-efficient deep learning for high-fidelity diffusion tensor estimation from minimal diffusion protocols"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.01346","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":"sha256:0e92b98b1e840675aaff4d6b1f66330c721acba379da64e1c52241754f9dabb2","target":"record","created_at":"2026-07-05T06:27:55Z","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":"0012e32f7067cdf4a6b3efa86673a8b12f1d32ab392726e5c7488022e42416dd","cross_cats_sorted":["cs.LG","eess.IV"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-07-03T20:39:48Z","title_canon_sha256":"cbb219b85af00efe68980fd412d45dd6f50ad2ed72917c6b672e7207e1b5da70"},"schema_version":"1.0","source":{"id":"2307.01346","kind":"arxiv","version":1}},"canonical_sha256":"42ba1081ccfe073f2c251e22daf85cf2f8950555e5b1353b0fb1ae90558ac774","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"42ba1081ccfe073f2c251e22daf85cf2f8950555e5b1353b0fb1ae90558ac774","first_computed_at":"2026-07-05T06:27:55.206543Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:27:55.206543Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QIg2uUxEGo0GTJjlOrPcsjDzWLAiSCRr60kYJlu1n5cwwnORKvOWfStTAQUtTPbqvDhCsrqDcqLdRUGrBcRYCw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:27:55.207003Z","signed_message":"canonical_sha256_bytes"},"source_id":"2307.01346","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0e92b98b1e840675aaff4d6b1f66330c721acba379da64e1c52241754f9dabb2","sha256:55b8c779352b7f3029f1a6c5418831114bd6d030361f831f91f1122334b91643"],"state_sha256":"f320570e2dffe28d27bf22981deab2dc1bc5ab11d23f5dccaa2955209b0cacfd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"T5nlhF3Pex3FVmXZP07jon/ut1l0DebO9ZFp2TSyz58Q7nweKnraEKBv5QfM5/iEC9FcAPtW1PP3nkztbBkyDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T07:09:00.114554Z","bundle_sha256":"5f5761a3267fda31f38f0ebb30ad7fbc34c19723ba99cae11a8861ed81917a78"}}