{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2011:K5IEHOFTOY43N2HXTPLW52HJHG","short_pith_number":"pith:K5IEHOFT","canonical_record":{"source":{"id":"1201.0022","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2011-12-23T18:26:14Z","cross_cats_sorted":["cs.CV","physics.med-ph"],"title_canon_sha256":"d9959aab7f669716b280ca1b3cd4669c2acdb03cac6c038e7b66adc96dc04eda","abstract_canon_sha256":"bfae63ab2545a8e2086657c78790871fd1953630f7e46cc4740b32900608136d"},"schema_version":"1.0"},"canonical_sha256":"575043b8b37639b6e8f79bd76ee8e9398aac622054aba74218b3599591c87845","source":{"kind":"arxiv","id":"1201.0022","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1201.0022","created_at":"2026-05-18T03:11:24Z"},{"alias_kind":"arxiv_version","alias_value":"1201.0022v3","created_at":"2026-05-18T03:11:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1201.0022","created_at":"2026-05-18T03:11:24Z"},{"alias_kind":"pith_short_12","alias_value":"K5IEHOFTOY43","created_at":"2026-05-18T12:26:32Z"},{"alias_kind":"pith_short_16","alias_value":"K5IEHOFTOY43N2HX","created_at":"2026-05-18T12:26:32Z"},{"alias_kind":"pith_short_8","alias_value":"K5IEHOFT","created_at":"2026-05-18T12:26:32Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2011:K5IEHOFTOY43N2HXTPLW52HJHG","target":"record","payload":{"canonical_record":{"source":{"id":"1201.0022","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2011-12-23T18:26:14Z","cross_cats_sorted":["cs.CV","physics.med-ph"],"title_canon_sha256":"d9959aab7f669716b280ca1b3cd4669c2acdb03cac6c038e7b66adc96dc04eda","abstract_canon_sha256":"bfae63ab2545a8e2086657c78790871fd1953630f7e46cc4740b32900608136d"},"schema_version":"1.0"},"canonical_sha256":"575043b8b37639b6e8f79bd76ee8e9398aac622054aba74218b3599591c87845","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:11:24.225169Z","signature_b64":"juhuWrLRia9zc72G8rIXS9gK9rr4GlMk+ncGMU8dF9FvQWaQfvDg1eFevGES/+U1+Mo5nOEUUvoi3csDEou7Ag==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"575043b8b37639b6e8f79bd76ee8e9398aac622054aba74218b3599591c87845","last_reissued_at":"2026-05-18T03:11:24.224312Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:11:24.224312Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1201.0022","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":"2026-05-18T03:11:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yy4DO7ddfFmilpJxtoszOUrEPzBj30k4z8h+vXYFwAVWWiLgFYOeg0J5bcLbCfrdoq+qx+IKGyzJx07Wj7xhAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-22T22:05:08.439571Z"},"content_sha256":"55fc494327f3e0f3b8c9b6465dc798c101c4ca4b8623b4afa5fdc3f61e084912","schema_version":"1.0","event_id":"sha256:55fc494327f3e0f3b8c9b6465dc798c101c4ca4b8623b4afa5fdc3f61e084912"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2011:K5IEHOFTOY43N2HXTPLW52HJHG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Spatio-temporal wavelet regularization for parallel MRI reconstruction: application to functional MRI","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","physics.med-ph"],"primary_cat":"stat.AP","authors_text":"Jean-Christophe Pesquet, Lotfi Chaari, Philippe Ciuciu, S\\'ebastien M\\'eriaux","submitted_at":"2011-12-23T18:26:14Z","abstract_excerpt":"Parallel MRI is a fast imaging technique that enables the acquisition of highly resolved images in space or/and in time. The performance of parallel imaging strongly depends on the reconstruction algorithm, which can proceed either in the original k-space (GRAPPA, SMASH) or in the image domain (SENSE-like methods). To improve the performance of the widely used SENSE algorithm, 2D- or slice-specific regularization in the wavelet domain has been deeply investigated. In this paper, we extend this approach using 3D-wavelet representations in order to handle all slices together and address reconstr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1201.0022","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":""},"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":"2026-05-18T03:11:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6XciyabprUKrHa4jX6HqSF8Q1xfKRF4kwABCZqYYofI66BpP+alJ9Pmg4mxVXq9nPuk7HEfE3jpxv5OM8MEkBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-22T22:05:08.440035Z"},"content_sha256":"ef818fad5de842480e638f7dda461bd6f5b10dc9f0571bdd86f3b1a3e6714722","schema_version":"1.0","event_id":"sha256:ef818fad5de842480e638f7dda461bd6f5b10dc9f0571bdd86f3b1a3e6714722"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/K5IEHOFTOY43N2HXTPLW52HJHG/bundle.json","state_url":"https://pith.science/pith/K5IEHOFTOY43N2HXTPLW52HJHG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/K5IEHOFTOY43N2HXTPLW52HJHG/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":"2026-06-22T22:05:08Z","links":{"resolver":"https://pith.science/pith/K5IEHOFTOY43N2HXTPLW52HJHG","bundle":"https://pith.science/pith/K5IEHOFTOY43N2HXTPLW52HJHG/bundle.json","state":"https://pith.science/pith/K5IEHOFTOY43N2HXTPLW52HJHG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/K5IEHOFTOY43N2HXTPLW52HJHG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2011:K5IEHOFTOY43N2HXTPLW52HJHG","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":"bfae63ab2545a8e2086657c78790871fd1953630f7e46cc4740b32900608136d","cross_cats_sorted":["cs.CV","physics.med-ph"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2011-12-23T18:26:14Z","title_canon_sha256":"d9959aab7f669716b280ca1b3cd4669c2acdb03cac6c038e7b66adc96dc04eda"},"schema_version":"1.0","source":{"id":"1201.0022","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1201.0022","created_at":"2026-05-18T03:11:24Z"},{"alias_kind":"arxiv_version","alias_value":"1201.0022v3","created_at":"2026-05-18T03:11:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1201.0022","created_at":"2026-05-18T03:11:24Z"},{"alias_kind":"pith_short_12","alias_value":"K5IEHOFTOY43","created_at":"2026-05-18T12:26:32Z"},{"alias_kind":"pith_short_16","alias_value":"K5IEHOFTOY43N2HX","created_at":"2026-05-18T12:26:32Z"},{"alias_kind":"pith_short_8","alias_value":"K5IEHOFT","created_at":"2026-05-18T12:26:32Z"}],"graph_snapshots":[{"event_id":"sha256:ef818fad5de842480e638f7dda461bd6f5b10dc9f0571bdd86f3b1a3e6714722","target":"graph","created_at":"2026-05-18T03:11:24Z","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"},"paper":{"abstract_excerpt":"Parallel MRI is a fast imaging technique that enables the acquisition of highly resolved images in space or/and in time. The performance of parallel imaging strongly depends on the reconstruction algorithm, which can proceed either in the original k-space (GRAPPA, SMASH) or in the image domain (SENSE-like methods). To improve the performance of the widely used SENSE algorithm, 2D- or slice-specific regularization in the wavelet domain has been deeply investigated. In this paper, we extend this approach using 3D-wavelet representations in order to handle all slices together and address reconstr","authors_text":"Jean-Christophe Pesquet, Lotfi Chaari, Philippe Ciuciu, S\\'ebastien M\\'eriaux","cross_cats":["cs.CV","physics.med-ph"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2011-12-23T18:26:14Z","title":"Spatio-temporal wavelet regularization for parallel MRI reconstruction: application to functional MRI"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1201.0022","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":"sha256:55fc494327f3e0f3b8c9b6465dc798c101c4ca4b8623b4afa5fdc3f61e084912","target":"record","created_at":"2026-05-18T03:11:24Z","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":"bfae63ab2545a8e2086657c78790871fd1953630f7e46cc4740b32900608136d","cross_cats_sorted":["cs.CV","physics.med-ph"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2011-12-23T18:26:14Z","title_canon_sha256":"d9959aab7f669716b280ca1b3cd4669c2acdb03cac6c038e7b66adc96dc04eda"},"schema_version":"1.0","source":{"id":"1201.0022","kind":"arxiv","version":3}},"canonical_sha256":"575043b8b37639b6e8f79bd76ee8e9398aac622054aba74218b3599591c87845","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"575043b8b37639b6e8f79bd76ee8e9398aac622054aba74218b3599591c87845","first_computed_at":"2026-05-18T03:11:24.224312Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:11:24.224312Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"juhuWrLRia9zc72G8rIXS9gK9rr4GlMk+ncGMU8dF9FvQWaQfvDg1eFevGES/+U1+Mo5nOEUUvoi3csDEou7Ag==","signature_status":"signed_v1","signed_at":"2026-05-18T03:11:24.225169Z","signed_message":"canonical_sha256_bytes"},"source_id":"1201.0022","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:55fc494327f3e0f3b8c9b6465dc798c101c4ca4b8623b4afa5fdc3f61e084912","sha256:ef818fad5de842480e638f7dda461bd6f5b10dc9f0571bdd86f3b1a3e6714722"],"state_sha256":"e3e6f1e693ba8f6e3e1b1c33306f0e2295d5c505b3aba9718e997d4cb632f26f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sGEXO/mmvN81ryYfZu/8UfQ1YJIlTNGUIq+f9S7OINQ8Y7R+GPFwjp8ru2deuNkAEQ4xy69nqsPlCw1xrgh+DA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-22T22:05:08.442534Z","bundle_sha256":"5bc56bb3ab0cd1c5e6fef276b2bcdd337ce43e79c09287deeff1d80a57fc8a15"}}