{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:FUWQDBKW47CCD66BJIS6BJVFVD","short_pith_number":"pith:FUWQDBKW","canonical_record":{"source":{"id":"2108.06637","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-08-15T01:06:26Z","cross_cats_sorted":[],"title_canon_sha256":"12483a29eda0a147e6620cec32b66a195d7c9da34cba409ac7ef920575ef8b02","abstract_canon_sha256":"097b9c0578c4d60e1489270b73d518ba4901b84fa1311c2453028b1fc8c66cea"},"schema_version":"1.0"},"canonical_sha256":"2d2d018556e7c421fbc14a25e0a6a5a8c48e8a9ee7f05c4908992f04f4ec61ce","source":{"kind":"arxiv","id":"2108.06637","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2108.06637","created_at":"2026-07-05T03:05:56Z"},{"alias_kind":"arxiv_version","alias_value":"2108.06637v1","created_at":"2026-07-05T03:05:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2108.06637","created_at":"2026-07-05T03:05:56Z"},{"alias_kind":"pith_short_12","alias_value":"FUWQDBKW47CC","created_at":"2026-07-05T03:05:56Z"},{"alias_kind":"pith_short_16","alias_value":"FUWQDBKW47CCD66B","created_at":"2026-07-05T03:05:56Z"},{"alias_kind":"pith_short_8","alias_value":"FUWQDBKW","created_at":"2026-07-05T03:05:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:FUWQDBKW47CCD66BJIS6BJVFVD","target":"record","payload":{"canonical_record":{"source":{"id":"2108.06637","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-08-15T01:06:26Z","cross_cats_sorted":[],"title_canon_sha256":"12483a29eda0a147e6620cec32b66a195d7c9da34cba409ac7ef920575ef8b02","abstract_canon_sha256":"097b9c0578c4d60e1489270b73d518ba4901b84fa1311c2453028b1fc8c66cea"},"schema_version":"1.0"},"canonical_sha256":"2d2d018556e7c421fbc14a25e0a6a5a8c48e8a9ee7f05c4908992f04f4ec61ce","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:05:56.557249Z","signature_b64":"6cptA4nS5a3vxeVJ/LgUViHQA83RyKT+gC/zkDsly/2x7AsGS+41udG5ehgcLVGQEF3Ow2hAW1HzU6rr+QKcCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2d2d018556e7c421fbc14a25e0a6a5a8c48e8a9ee7f05c4908992f04f4ec61ce","last_reissued_at":"2026-07-05T03:05:56.556837Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:05:56.556837Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2108.06637","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":"2026-07-05T03:05:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MEXZCirGgKNbg+A7HGPwcAJhKAWLIuT3XeM2cF4eI2DMZC77Fx2biOHWjAeCHGq4y2Je5N+aFcFLbAqRKr8UCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T09:14:54.819359Z"},"content_sha256":"ec2003b9e2face0b34f2d1c3b024da0f8647ce9780ba67f66c4fbd1c6b5a2806","schema_version":"1.0","event_id":"sha256:ec2003b9e2face0b34f2d1c3b024da0f8647ce9780ba67f66c4fbd1c6b5a2806"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:FUWQDBKW47CCD66BJIS6BJVFVD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep Algorithm Unrolling for Biomedical Imaging","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Or Bar-Shira, Vishal Monga, Yonina C. Eldar, Yuelong Li","submitted_at":"2021-08-15T01:06:26Z","abstract_excerpt":"In this chapter, we review biomedical applications and breakthroughs via leveraging algorithm unrolling, an important technique that bridges between traditional iterative algorithms and modern deep learning techniques. To provide context, we start by tracing the origin of algorithm unrolling and providing a comprehensive tutorial on how to unroll iterative algorithms into deep networks. We then extensively cover algorithm unrolling in a wide variety of biomedical imaging modalities and delve into several representative recent works in detail. Indeed, there is a rich history of iterative algori"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2108.06637","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/2108.06637/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":"2026-07-05T03:05:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/CTmYoLCbmXaXdrc76+ZKcJqlRcrNEARTEcGeVoI0lQZZ/7RSCeFLFAmTMM3zNOoxSEdI1I4taMCj5Zz/EIFDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T09:14:54.819847Z"},"content_sha256":"ab15d410ec8732509b3ac66420ed085159b4cd338ef2de46b8baee7f13d2a798","schema_version":"1.0","event_id":"sha256:ab15d410ec8732509b3ac66420ed085159b4cd338ef2de46b8baee7f13d2a798"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FUWQDBKW47CCD66BJIS6BJVFVD/bundle.json","state_url":"https://pith.science/pith/FUWQDBKW47CCD66BJIS6BJVFVD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FUWQDBKW47CCD66BJIS6BJVFVD/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":"2026-08-04T09:14:54Z","links":{"resolver":"https://pith.science/pith/FUWQDBKW47CCD66BJIS6BJVFVD","bundle":"https://pith.science/pith/FUWQDBKW47CCD66BJIS6BJVFVD/bundle.json","state":"https://pith.science/pith/FUWQDBKW47CCD66BJIS6BJVFVD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FUWQDBKW47CCD66BJIS6BJVFVD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:FUWQDBKW47CCD66BJIS6BJVFVD","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":"097b9c0578c4d60e1489270b73d518ba4901b84fa1311c2453028b1fc8c66cea","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-08-15T01:06:26Z","title_canon_sha256":"12483a29eda0a147e6620cec32b66a195d7c9da34cba409ac7ef920575ef8b02"},"schema_version":"1.0","source":{"id":"2108.06637","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2108.06637","created_at":"2026-07-05T03:05:56Z"},{"alias_kind":"arxiv_version","alias_value":"2108.06637v1","created_at":"2026-07-05T03:05:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2108.06637","created_at":"2026-07-05T03:05:56Z"},{"alias_kind":"pith_short_12","alias_value":"FUWQDBKW47CC","created_at":"2026-07-05T03:05:56Z"},{"alias_kind":"pith_short_16","alias_value":"FUWQDBKW47CCD66B","created_at":"2026-07-05T03:05:56Z"},{"alias_kind":"pith_short_8","alias_value":"FUWQDBKW","created_at":"2026-07-05T03:05:56Z"}],"graph_snapshots":[{"event_id":"sha256:ab15d410ec8732509b3ac66420ed085159b4cd338ef2de46b8baee7f13d2a798","target":"graph","created_at":"2026-07-05T03:05:56Z","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/2108.06637/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this chapter, we review biomedical applications and breakthroughs via leveraging algorithm unrolling, an important technique that bridges between traditional iterative algorithms and modern deep learning techniques. To provide context, we start by tracing the origin of algorithm unrolling and providing a comprehensive tutorial on how to unroll iterative algorithms into deep networks. We then extensively cover algorithm unrolling in a wide variety of biomedical imaging modalities and delve into several representative recent works in detail. Indeed, there is a rich history of iterative algori","authors_text":"Or Bar-Shira, Vishal Monga, Yonina C. Eldar, Yuelong Li","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-08-15T01:06:26Z","title":"Deep Algorithm Unrolling for Biomedical Imaging"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2108.06637","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:ec2003b9e2face0b34f2d1c3b024da0f8647ce9780ba67f66c4fbd1c6b5a2806","target":"record","created_at":"2026-07-05T03:05:56Z","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":"097b9c0578c4d60e1489270b73d518ba4901b84fa1311c2453028b1fc8c66cea","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-08-15T01:06:26Z","title_canon_sha256":"12483a29eda0a147e6620cec32b66a195d7c9da34cba409ac7ef920575ef8b02"},"schema_version":"1.0","source":{"id":"2108.06637","kind":"arxiv","version":1}},"canonical_sha256":"2d2d018556e7c421fbc14a25e0a6a5a8c48e8a9ee7f05c4908992f04f4ec61ce","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2d2d018556e7c421fbc14a25e0a6a5a8c48e8a9ee7f05c4908992f04f4ec61ce","first_computed_at":"2026-07-05T03:05:56.556837Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:05:56.556837Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6cptA4nS5a3vxeVJ/LgUViHQA83RyKT+gC/zkDsly/2x7AsGS+41udG5ehgcLVGQEF3Ow2hAW1HzU6rr+QKcCA==","signature_status":"signed_v1","signed_at":"2026-07-05T03:05:56.557249Z","signed_message":"canonical_sha256_bytes"},"source_id":"2108.06637","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ec2003b9e2face0b34f2d1c3b024da0f8647ce9780ba67f66c4fbd1c6b5a2806","sha256:ab15d410ec8732509b3ac66420ed085159b4cd338ef2de46b8baee7f13d2a798"],"state_sha256":"ddc520dd913a10be20369fddea64d2ead5e40510af1d0ba570b38fcdac2e6690"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Pfa/0NkVEeOtay9IyQG4rtewyuDZBTskxxp9YV+n/Cl4mgF5XrvcIwGOskfxV4B2imlPg2GdVvM/dZJamf/kBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T09:14:54.824283Z","bundle_sha256":"b658aa9c6c3dfb003542d4c0ca471d03ed69bb027bc8ce3c7c4e95c24050c4ea"}}