{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:Y5OXI2CBPOPXWKG52EA2FYCI44","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":"e8cc8f24b226bad6f4a3d1dd4b06f5eba51760b054a03d6b5c71fd0594ac9629","cross_cats_sorted":["cs.CV","eess.SP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-05-27T17:54:45Z","title_canon_sha256":"f7833e834c39ea770404b74be179ee3e21b523fd3475268277e84ea2cbbb5613"},"schema_version":"1.0","source":{"id":"2005.13531","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2005.13531","created_at":"2026-07-05T01:06:22Z"},{"alias_kind":"arxiv_version","alias_value":"2005.13531v2","created_at":"2026-07-05T01:06:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2005.13531","created_at":"2026-07-05T01:06:22Z"},{"alias_kind":"pith_short_12","alias_value":"Y5OXI2CBPOPX","created_at":"2026-07-05T01:06:22Z"},{"alias_kind":"pith_short_16","alias_value":"Y5OXI2CBPOPXWKG5","created_at":"2026-07-05T01:06:22Z"},{"alias_kind":"pith_short_8","alias_value":"Y5OXI2CB","created_at":"2026-07-05T01:06:22Z"}],"graph_snapshots":[{"event_id":"sha256:8b731168c86adc2f6a33308599aff95e322a8628c9fa39a080241430341dd4bd","target":"graph","created_at":"2026-07-05T01:06:22Z","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/2005.13531/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The goal of this tutorial is to explain step-by-step how to implement physics-based learning for the rapid prototyping of a computational imaging system. We provide a basic overview of physics-based learning, the construction of a physics-based network, and its reduction to practice. Specifically, we advocate exploiting the auto-differentiation functionality twice, once to build a physics-based network and again to perform physics-based learning. Thus, the user need only implement the forward model process for their system, speeding up prototyping time. We provide an open-source Pytorch implem","authors_text":"Laura Waller, Michael Kellman, Michael Lustig","cross_cats":["cs.CV","eess.SP"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-05-27T17:54:45Z","title":"How to do Physics-based Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2005.13531","kind":"arxiv","version":2},"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":"sha256:465a93d0e04d1c04c66f737a2383350e68c9e59140670efe5f59776a98de131c","target":"record","created_at":"2026-07-05T01:06:22Z","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":"e8cc8f24b226bad6f4a3d1dd4b06f5eba51760b054a03d6b5c71fd0594ac9629","cross_cats_sorted":["cs.CV","eess.SP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-05-27T17:54:45Z","title_canon_sha256":"f7833e834c39ea770404b74be179ee3e21b523fd3475268277e84ea2cbbb5613"},"schema_version":"1.0","source":{"id":"2005.13531","kind":"arxiv","version":2}},"canonical_sha256":"c75d7468417b9f7b28ddd101a2e048e730a41610135a97b56201b5f6fe1f4a99","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c75d7468417b9f7b28ddd101a2e048e730a41610135a97b56201b5f6fe1f4a99","first_computed_at":"2026-07-05T01:06:22.895971Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:06:22.895971Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"KLK6+R9jxm6yq5VxtEyldB4RkHXTodEdHhihDfTf7tjroKgJY2axXngdDAODNmv7xk8NjlXiOC4pxzo+OAqYAw==","signature_status":"signed_v1","signed_at":"2026-07-05T01:06:22.896485Z","signed_message":"canonical_sha256_bytes"},"source_id":"2005.13531","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:465a93d0e04d1c04c66f737a2383350e68c9e59140670efe5f59776a98de131c","sha256:8b731168c86adc2f6a33308599aff95e322a8628c9fa39a080241430341dd4bd"],"state_sha256":"7a524603e122507fede1de1c7c5254ceb5b24e20af2185fe697c88e587f46cb0"}