{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:GYNXLNVIO6TKLE56SB7YBCX5C6","short_pith_number":"pith:GYNXLNVI","canonical_record":{"source":{"id":"2411.10787","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-11-16T12:22:29Z","cross_cats_sorted":[],"title_canon_sha256":"06448f3a18c854ec9a2990b26bcb920d5f3a6edf8f1decf1b6809db5951df184","abstract_canon_sha256":"530bdde396cd0e7369676939e136d7255d93a81f84f63ca20f29e7b504e163de"},"schema_version":"1.0"},"canonical_sha256":"361b75b6a877a6a593be907f808afd17969de1205cbc3a10907f3b0be21a3718","source":{"kind":"arxiv","id":"2411.10787","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.10787","created_at":"2026-07-05T10:54:39Z"},{"alias_kind":"arxiv_version","alias_value":"2411.10787v1","created_at":"2026-07-05T10:54:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.10787","created_at":"2026-07-05T10:54:39Z"},{"alias_kind":"pith_short_12","alias_value":"GYNXLNVIO6TK","created_at":"2026-07-05T10:54:39Z"},{"alias_kind":"pith_short_16","alias_value":"GYNXLNVIO6TKLE56","created_at":"2026-07-05T10:54:39Z"},{"alias_kind":"pith_short_8","alias_value":"GYNXLNVI","created_at":"2026-07-05T10:54:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:GYNXLNVIO6TKLE56SB7YBCX5C6","target":"record","payload":{"canonical_record":{"source":{"id":"2411.10787","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-11-16T12:22:29Z","cross_cats_sorted":[],"title_canon_sha256":"06448f3a18c854ec9a2990b26bcb920d5f3a6edf8f1decf1b6809db5951df184","abstract_canon_sha256":"530bdde396cd0e7369676939e136d7255d93a81f84f63ca20f29e7b504e163de"},"schema_version":"1.0"},"canonical_sha256":"361b75b6a877a6a593be907f808afd17969de1205cbc3a10907f3b0be21a3718","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:54:39.454492Z","signature_b64":"2ekBcyRc6onKOo4vPxfoTtHUVsGnhVN1ch6WssI1g1zIA/KgN+tOYCbc27Bl5W7XPL1fdOIUd7TpwU2mTqjtAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"361b75b6a877a6a593be907f808afd17969de1205cbc3a10907f3b0be21a3718","last_reissued_at":"2026-07-05T10:54:39.454019Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:54:39.454019Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2411.10787","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":"2026-07-05T10:54:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GEYcciEBjd/E/hza7Uxd1Rp9ACjel+4o07kkLimJOkbpmss2abZ6CcujhZIj+Ca+pyZSb+UlQDUh2Q4kswPvBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T23:39:48.216014Z"},"content_sha256":"b2409ef6289ed5fcca97cfa743073a0e67148fda1f146d9fe44ad0a845d52dfe","schema_version":"1.0","event_id":"sha256:b2409ef6289ed5fcca97cfa743073a0e67148fda1f146d9fe44ad0a845d52dfe"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:GYNXLNVIO6TKLE56SB7YBCX5C6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"An All-in-one Approach for Accelerated Cardiac MRI Reconstruction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"eess.IV","authors_text":"Kian Anvari Hamedani, Mohsen Ebrahimi Moghaddam, Narges Razizadeh, Shahabedin Nabavi","submitted_at":"2024-11-16T12:22:29Z","abstract_excerpt":"Cardiovascular magnetic resonance (CMR) imaging is the gold standard for diagnosing several heart diseases due to its non-invasive nature and proper contrast. MR imaging is time-consuming because of signal acquisition and image formation issues. Prolonging the imaging process can result in the appearance of artefacts in the final image, which can affect the diagnosis. It is possible to speed up CMR imaging using image reconstruction based on deep learning. For this purpose, the high-quality clinical interpretable images can be reconstructed by acquiring highly undersampled k-space data, that i"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.10787","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/2411.10787/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":"2026-07-05T10:54:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dOjJM9uPDRpNh5HHnoWT90QkeCXrIG4QtqO0C8wdSHpRvSijRr4FZga+XJZaGpUDvp9yzlpRsOXMDJZQ9C0PCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T23:39:48.217422Z"},"content_sha256":"4d1e114c61edd4c22c87976beb89c4e72213d7eb3a0ade4fde7cb81d503ce2f6","schema_version":"1.0","event_id":"sha256:4d1e114c61edd4c22c87976beb89c4e72213d7eb3a0ade4fde7cb81d503ce2f6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GYNXLNVIO6TKLE56SB7YBCX5C6/bundle.json","state_url":"https://pith.science/pith/GYNXLNVIO6TKLE56SB7YBCX5C6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GYNXLNVIO6TKLE56SB7YBCX5C6/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":"2026-08-13T23:39:48Z","links":{"resolver":"https://pith.science/pith/GYNXLNVIO6TKLE56SB7YBCX5C6","bundle":"https://pith.science/pith/GYNXLNVIO6TKLE56SB7YBCX5C6/bundle.json","state":"https://pith.science/pith/GYNXLNVIO6TKLE56SB7YBCX5C6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GYNXLNVIO6TKLE56SB7YBCX5C6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:GYNXLNVIO6TKLE56SB7YBCX5C6","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":"530bdde396cd0e7369676939e136d7255d93a81f84f63ca20f29e7b504e163de","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-11-16T12:22:29Z","title_canon_sha256":"06448f3a18c854ec9a2990b26bcb920d5f3a6edf8f1decf1b6809db5951df184"},"schema_version":"1.0","source":{"id":"2411.10787","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.10787","created_at":"2026-07-05T10:54:39Z"},{"alias_kind":"arxiv_version","alias_value":"2411.10787v1","created_at":"2026-07-05T10:54:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.10787","created_at":"2026-07-05T10:54:39Z"},{"alias_kind":"pith_short_12","alias_value":"GYNXLNVIO6TK","created_at":"2026-07-05T10:54:39Z"},{"alias_kind":"pith_short_16","alias_value":"GYNXLNVIO6TKLE56","created_at":"2026-07-05T10:54:39Z"},{"alias_kind":"pith_short_8","alias_value":"GYNXLNVI","created_at":"2026-07-05T10:54:39Z"}],"graph_snapshots":[{"event_id":"sha256:4d1e114c61edd4c22c87976beb89c4e72213d7eb3a0ade4fde7cb81d503ce2f6","target":"graph","created_at":"2026-07-05T10:54:39Z","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/2411.10787/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Cardiovascular magnetic resonance (CMR) imaging is the gold standard for diagnosing several heart diseases due to its non-invasive nature and proper contrast. MR imaging is time-consuming because of signal acquisition and image formation issues. Prolonging the imaging process can result in the appearance of artefacts in the final image, which can affect the diagnosis. It is possible to speed up CMR imaging using image reconstruction based on deep learning. For this purpose, the high-quality clinical interpretable images can be reconstructed by acquiring highly undersampled k-space data, that i","authors_text":"Kian Anvari Hamedani, Mohsen Ebrahimi Moghaddam, Narges Razizadeh, Shahabedin Nabavi","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-11-16T12:22:29Z","title":"An All-in-one Approach for Accelerated Cardiac MRI Reconstruction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.10787","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:b2409ef6289ed5fcca97cfa743073a0e67148fda1f146d9fe44ad0a845d52dfe","target":"record","created_at":"2026-07-05T10:54:39Z","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":"530bdde396cd0e7369676939e136d7255d93a81f84f63ca20f29e7b504e163de","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-11-16T12:22:29Z","title_canon_sha256":"06448f3a18c854ec9a2990b26bcb920d5f3a6edf8f1decf1b6809db5951df184"},"schema_version":"1.0","source":{"id":"2411.10787","kind":"arxiv","version":1}},"canonical_sha256":"361b75b6a877a6a593be907f808afd17969de1205cbc3a10907f3b0be21a3718","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"361b75b6a877a6a593be907f808afd17969de1205cbc3a10907f3b0be21a3718","first_computed_at":"2026-07-05T10:54:39.454019Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:54:39.454019Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2ekBcyRc6onKOo4vPxfoTtHUVsGnhVN1ch6WssI1g1zIA/KgN+tOYCbc27Bl5W7XPL1fdOIUd7TpwU2mTqjtAw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:54:39.454492Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.10787","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b2409ef6289ed5fcca97cfa743073a0e67148fda1f146d9fe44ad0a845d52dfe","sha256:4d1e114c61edd4c22c87976beb89c4e72213d7eb3a0ade4fde7cb81d503ce2f6"],"state_sha256":"ef0af273dec652e06ec5980de94fda990681a6f40656062aca8a59ddd61da129"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iq5USqpV8tqJoeAHrNajkE5lElFC5jPS3u0M14k0G8E5c+jczSrcqYT2E5HZaqYqg6HE37G9Vx7icsoi+lGwDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T23:39:48.313202Z","bundle_sha256":"a130d52fbf3beaf0c0c4c55f91ac50c908257e7022919832aa760be059430151"}}