{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:QAC2NGDAHFMZKLRCPTHN45IQHP","short_pith_number":"pith:QAC2NGDA","schema_version":"1.0","canonical_sha256":"8005a698603959952e227ccede75103bc943f118a1f73bff5fc29fce7a4cfe71","source":{"kind":"arxiv","id":"2605.29446","version":1},"attestation_state":"computed","paper":{"title":"CrystalXRD-Bench: Benchmarking Vision-Language Models for XRD Peak Indexing Across Diverse Crystalline Materials","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Beng Wang, Bing Zhao, Chengliang Xu, Hu Wei, Peiyao Xiao, Xiaogang Li","submitted_at":"2026-05-28T06:39:45Z","abstract_excerpt":"Miller-index identification from powder XRD patterns requires capabilities untested by existing multimodal benchmarks: the model must read a narrow peak location from a rendered scientific curve and then connect that observation to multi-step crystallographic reasoning. We introduce CrystalXRD-Bench, a 250-sample benchmark built from 10 public crystallographic databases for a single task: recover the full set of HKLs contributing to the highest-intensity peak in an XRD pattern. Each sample pairs the rendered XRD image with the source CIF text and chemical formula, so visual extraction errors a"},"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":"2605.29446","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-28T06:39:45Z","cross_cats_sorted":[],"title_canon_sha256":"4ef046b88ee965ff3bcddfb30d06e05faf93855ef52b2612d57fea5cda96954c","abstract_canon_sha256":"650839aca0bd2630f74394024455bc82d72cd75108f361f8707930179609c541"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-29T01:05:39.691105Z","signature_b64":"XJV9xPhhaFTmQMzbwm3kF2iTem39JxFgs4B/Ux9Q1SC3hZWcyOPj5gehIoxT42Fg72Sh5NufKwlxjaSHI2B9Dw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8005a698603959952e227ccede75103bc943f118a1f73bff5fc29fce7a4cfe71","last_reissued_at":"2026-05-29T01:05:39.688993Z","signature_status":"signed_v1","first_computed_at":"2026-05-29T01:05:39.688993Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"CrystalXRD-Bench: Benchmarking Vision-Language Models for XRD Peak Indexing Across Diverse Crystalline Materials","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Beng Wang, Bing Zhao, Chengliang Xu, Hu Wei, Peiyao Xiao, Xiaogang Li","submitted_at":"2026-05-28T06:39:45Z","abstract_excerpt":"Miller-index identification from powder XRD patterns requires capabilities untested by existing multimodal benchmarks: the model must read a narrow peak location from a rendered scientific curve and then connect that observation to multi-step crystallographic reasoning. We introduce CrystalXRD-Bench, a 250-sample benchmark built from 10 public crystallographic databases for a single task: recover the full set of HKLs contributing to the highest-intensity peak in an XRD pattern. Each sample pairs the rendered XRD image with the source CIF text and chemical formula, so visual extraction errors a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.29446","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/2605.29446/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":"2605.29446","created_at":"2026-05-29T01:05:39.689138+00:00"},{"alias_kind":"arxiv_version","alias_value":"2605.29446v1","created_at":"2026-05-29T01:05:39.689138+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.29446","created_at":"2026-05-29T01:05:39.689138+00:00"},{"alias_kind":"pith_short_12","alias_value":"QAC2NGDAHFMZ","created_at":"2026-05-29T01:05:39.689138+00:00"},{"alias_kind":"pith_short_16","alias_value":"QAC2NGDAHFMZKLRC","created_at":"2026-05-29T01:05:39.689138+00:00"},{"alias_kind":"pith_short_8","alias_value":"QAC2NGDA","created_at":"2026-05-29T01:05:39.689138+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/QAC2NGDAHFMZKLRCPTHN45IQHP","json":"https://pith.science/pith/QAC2NGDAHFMZKLRCPTHN45IQHP.json","graph_json":"https://pith.science/api/pith-number/QAC2NGDAHFMZKLRCPTHN45IQHP/graph.json","events_json":"https://pith.science/api/pith-number/QAC2NGDAHFMZKLRCPTHN45IQHP/events.json","paper":"https://pith.science/paper/QAC2NGDA"},"agent_actions":{"view_html":"https://pith.science/pith/QAC2NGDAHFMZKLRCPTHN45IQHP","download_json":"https://pith.science/pith/QAC2NGDAHFMZKLRCPTHN45IQHP.json","view_paper":"https://pith.science/paper/QAC2NGDA","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2605.29446&json=true","fetch_graph":"https://pith.science/api/pith-number/QAC2NGDAHFMZKLRCPTHN45IQHP/graph.json","fetch_events":"https://pith.science/api/pith-number/QAC2NGDAHFMZKLRCPTHN45IQHP/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/QAC2NGDAHFMZKLRCPTHN45IQHP/action/timestamp_anchor","attest_storage":"https://pith.science/pith/QAC2NGDAHFMZKLRCPTHN45IQHP/action/storage_attestation","attest_author":"https://pith.science/pith/QAC2NGDAHFMZKLRCPTHN45IQHP/action/author_attestation","sign_citation":"https://pith.science/pith/QAC2NGDAHFMZKLRCPTHN45IQHP/action/citation_signature","submit_replication":"https://pith.science/pith/QAC2NGDAHFMZKLRCPTHN45IQHP/action/replication_record"}},"created_at":"2026-05-29T01:05:39.689138+00:00","updated_at":"2026-05-29T01:05:39.689138+00:00"}