{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:752Z6SHQGYRC2AX4ASTE6QP2RI","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":"09a3eda80aac53ec42a6e805f693074e3a7476b454a47eecf315edb54c4ec301","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-06-06T16:38:53Z","title_canon_sha256":"93d83d0213f50818855d5215907205dce7d9921f5674615a5ab4c6412027045e"},"schema_version":"1.0","source":{"id":"2406.04239","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.04239","created_at":"2026-07-05T10:52:54Z"},{"alias_kind":"arxiv_version","alias_value":"2406.04239v2","created_at":"2026-07-05T10:52:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.04239","created_at":"2026-07-05T10:52:54Z"},{"alias_kind":"pith_short_12","alias_value":"752Z6SHQGYRC","created_at":"2026-07-05T10:52:54Z"},{"alias_kind":"pith_short_16","alias_value":"752Z6SHQGYRC2AX4","created_at":"2026-07-05T10:52:54Z"},{"alias_kind":"pith_short_8","alias_value":"752Z6SHQ","created_at":"2026-07-05T10:52:54Z"}],"graph_snapshots":[{"event_id":"sha256:4128f80ab3a43960bae34790ae8a20c8a2b226102cee5a3afd09c5d4ef1a24f0","target":"graph","created_at":"2026-07-05T10:52:54Z","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/2406.04239/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The interaction of a protein with its environment can be understood and controlled via its 3D structure. Experimental methods for protein structure determination, such as X-ray crystallography or cryogenic electron microscopy, shed light on biological processes but introduce challenging inverse problems. Learning-based approaches have emerged as accurate and efficient methods to solve these inverse problems for 3D structure determination, but are specialized for a predefined type of measurement. Here, we introduce a versatile framework to turn biophysical measurements, such as cryo-EM density ","authors_text":"Axel Levy, Ellen D. Zhong, Eric R. Chan, Fr\\'ed\\'eric Poitevin, Gordon Wetzstein, Sara Fridovich-Keil","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-06-06T16:38:53Z","title":"Solving Inverse Problems in Protein Space Using Diffusion-Based Priors"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.04239","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":"sha256:431683e99d86fbd0ea1d49f7362a59de5cf87a1df679d53d20e6ff0633c8e8ea","target":"record","created_at":"2026-07-05T10:52:54Z","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":"09a3eda80aac53ec42a6e805f693074e3a7476b454a47eecf315edb54c4ec301","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-06-06T16:38:53Z","title_canon_sha256":"93d83d0213f50818855d5215907205dce7d9921f5674615a5ab4c6412027045e"},"schema_version":"1.0","source":{"id":"2406.04239","kind":"arxiv","version":2}},"canonical_sha256":"ff759f48f036222d02fc04a64f41fa8a2e031f428e9ba72e98a6269a8d6f23b6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ff759f48f036222d02fc04a64f41fa8a2e031f428e9ba72e98a6269a8d6f23b6","first_computed_at":"2026-07-05T10:52:54.572577Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:52:54.572577Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7iTu5cJNtKKMFtpIl6KApwlOfFavHC0TepYDcRR5HgsYl/rfkDAyYpGHpyBpqEh2LK240+MeHA1wj4gl9PQ2CA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:52:54.573014Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.04239","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:431683e99d86fbd0ea1d49f7362a59de5cf87a1df679d53d20e6ff0633c8e8ea","sha256:4128f80ab3a43960bae34790ae8a20c8a2b226102cee5a3afd09c5d4ef1a24f0"],"state_sha256":"a1dd6bb6c0bd47571f83e2fdefdcad964d4bad66051429e46bd67ef91c0e1036"}