{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:NWHBP2EWFBB62AOYF5VRZHLCPN","short_pith_number":"pith:NWHBP2EW","schema_version":"1.0","canonical_sha256":"6d8e17e8962843ed01d82f6b1c9d627b4a070163e8a757aba661efc10f9db072","source":{"kind":"arxiv","id":"2607.28843","version":1},"attestation_state":"computed","paper":{"title":"An End-to-End Differentiable Forward Model for High-Energy Diffraction Microscopy","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cond-mat.mtrl-sci","authors_text":"Hemant Sharma, Mathew Cherukara, Nina Andrejevic, Simon Zhang","submitted_at":"2026-07-30T21:11:54Z","abstract_excerpt":"High-Energy Diffraction Microscopy (HEDM) recovers crystallographic orientation, strain, and grain position from rotating-crystal X-ray diffraction patterns. Existing forward models in far-field (FF), near-field (NF), and point-focused (pf) HEDM are not differentiable, which forecloses gradient-based joint parameter refinement, physics-informed regularisation, and Bayesian uncertainty quantification. We present the first end-to-end differentiable HEDM forward model covering all three geometries, implemented in PyTorch with pixel-exact agreement against the established MIDAS reference simulator"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2607.28843","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2026-07-30T21:11:54Z","cross_cats_sorted":[],"title_canon_sha256":"e876a64286864c226d31e50b8ba4c2fb587f1f77be5a39a55e5908b25003f1c1","abstract_canon_sha256":"d4fc5fe905f438ab7da36a20995bf71fbd273c40ca4f04ffa155f959338f7991"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-03T01:17:11.654817Z","signature_b64":"U6gsnIs/2PgTfjQUdDpepx+cNv85fA7RmizxmkswoP5nw67upx46kDLZxje07xOSupJE/rH5blaO3SmVBZgkCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6d8e17e8962843ed01d82f6b1c9d627b4a070163e8a757aba661efc10f9db072","last_reissued_at":"2026-08-03T01:17:11.653290Z","signature_status":"signed_v1","first_computed_at":"2026-08-03T01:17:11.653290Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"An End-to-End Differentiable Forward Model for High-Energy Diffraction Microscopy","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cond-mat.mtrl-sci","authors_text":"Hemant Sharma, Mathew Cherukara, Nina Andrejevic, Simon Zhang","submitted_at":"2026-07-30T21:11:54Z","abstract_excerpt":"High-Energy Diffraction Microscopy (HEDM) recovers crystallographic orientation, strain, and grain position from rotating-crystal X-ray diffraction patterns. Existing forward models in far-field (FF), near-field (NF), and point-focused (pf) HEDM are not differentiable, which forecloses gradient-based joint parameter refinement, physics-informed regularisation, and Bayesian uncertainty quantification. We present the first end-to-end differentiable HEDM forward model covering all three geometries, implemented in PyTorch with pixel-exact agreement against the established MIDAS reference simulator"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.28843","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/2607.28843/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2607.28843","created_at":"2026-08-03T01:17:11.654224+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.28843v1","created_at":"2026-08-03T01:17:11.654224+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.28843","created_at":"2026-08-03T01:17:11.654224+00:00"},{"alias_kind":"pith_short_12","alias_value":"NWHBP2EWFBB6","created_at":"2026-08-03T01:17:11.654224+00:00"},{"alias_kind":"pith_short_16","alias_value":"NWHBP2EWFBB62AOY","created_at":"2026-08-03T01:17:11.654224+00:00"},{"alias_kind":"pith_short_8","alias_value":"NWHBP2EW","created_at":"2026-08-03T01:17:11.654224+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/NWHBP2EWFBB62AOYF5VRZHLCPN","json":"https://pith.science/pith/NWHBP2EWFBB62AOYF5VRZHLCPN.json","graph_json":"https://pith.science/api/pith-number/NWHBP2EWFBB62AOYF5VRZHLCPN/graph.json","events_json":"https://pith.science/api/pith-number/NWHBP2EWFBB62AOYF5VRZHLCPN/events.json","paper":"https://pith.science/paper/NWHBP2EW"},"agent_actions":{"view_html":"https://pith.science/pith/NWHBP2EWFBB62AOYF5VRZHLCPN","download_json":"https://pith.science/pith/NWHBP2EWFBB62AOYF5VRZHLCPN.json","view_paper":"https://pith.science/paper/NWHBP2EW","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.28843&json=true","fetch_graph":"https://pith.science/api/pith-number/NWHBP2EWFBB62AOYF5VRZHLCPN/graph.json","fetch_events":"https://pith.science/api/pith-number/NWHBP2EWFBB62AOYF5VRZHLCPN/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/NWHBP2EWFBB62AOYF5VRZHLCPN/action/timestamp_anchor","attest_storage":"https://pith.science/pith/NWHBP2EWFBB62AOYF5VRZHLCPN/action/storage_attestation","attest_author":"https://pith.science/pith/NWHBP2EWFBB62AOYF5VRZHLCPN/action/author_attestation","sign_citation":"https://pith.science/pith/NWHBP2EWFBB62AOYF5VRZHLCPN/action/citation_signature","submit_replication":"https://pith.science/pith/NWHBP2EWFBB62AOYF5VRZHLCPN/action/replication_record"}},"created_at":"2026-08-03T01:17:11.654224+00:00","updated_at":"2026-08-03T01:17:11.654224+00:00"}