{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:WMZOSZEYNCEZJT6A2L3RAVRJ7C","short_pith_number":"pith:WMZOSZEY","canonical_record":{"source":{"id":"2008.00283","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2020-08-01T15:38:03Z","cross_cats_sorted":[],"title_canon_sha256":"e64d438af4b601826048395ab07fcb2516cf2cc5a1cf4d8090c77911f0780ff2","abstract_canon_sha256":"4bf0c0ca8e98e390a4de551081b3e28b33dfe7e2219363b336308e65b25fbc41"},"schema_version":"1.0"},"canonical_sha256":"b332e96498688994cfc0d2f7105629f8b3d18cded38fb622eea30600dfbe70ec","source":{"kind":"arxiv","id":"2008.00283","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2008.00283","created_at":"2026-07-05T02:37:41Z"},{"alias_kind":"arxiv_version","alias_value":"2008.00283v2","created_at":"2026-07-05T02:37:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2008.00283","created_at":"2026-07-05T02:37:41Z"},{"alias_kind":"pith_short_12","alias_value":"WMZOSZEYNCEZ","created_at":"2026-07-05T02:37:41Z"},{"alias_kind":"pith_short_16","alias_value":"WMZOSZEYNCEZJT6A","created_at":"2026-07-05T02:37:41Z"},{"alias_kind":"pith_short_8","alias_value":"WMZOSZEY","created_at":"2026-07-05T02:37:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:WMZOSZEYNCEZJT6A2L3RAVRJ7C","target":"record","payload":{"canonical_record":{"source":{"id":"2008.00283","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2020-08-01T15:38:03Z","cross_cats_sorted":[],"title_canon_sha256":"e64d438af4b601826048395ab07fcb2516cf2cc5a1cf4d8090c77911f0780ff2","abstract_canon_sha256":"4bf0c0ca8e98e390a4de551081b3e28b33dfe7e2219363b336308e65b25fbc41"},"schema_version":"1.0"},"canonical_sha256":"b332e96498688994cfc0d2f7105629f8b3d18cded38fb622eea30600dfbe70ec","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:37:41.655379Z","signature_b64":"pLAH5fi9lVExXmnnBQcZ/V/wscX6JvxgvoaTpe1XR5lR0e+AkEfL1IyJszfh5OPSdcknjHWqlH7CcpHVscVPDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b332e96498688994cfc0d2f7105629f8b3d18cded38fb622eea30600dfbe70ec","last_reissued_at":"2026-07-05T02:37:41.654959Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:37:41.654959Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2008.00283","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T02:37:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"n6ZktPnUXJOlvlndsiP1G+POsBTJzrlNXcQSq5EpV6vGbzHNMLpEMnHD7cpZ396IkcMrwxp+3bkAb/QM+jn8AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T19:02:35.746856Z"},"content_sha256":"310ca8e77db3f5c4ce0b5dcc64012f84680b47c3e4d41acaeae416f77225d18a","schema_version":"1.0","event_id":"sha256:310ca8e77db3f5c4ce0b5dcc64012f84680b47c3e4d41acaeae416f77225d18a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:WMZOSZEYNCEZJT6A2L3RAVRJ7C","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Crystallography companion agent for high-throughput materials discovery","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cond-mat.mtrl-sci","authors_text":"Alfred Ludwig, Andrew I. Cooper, Daniel Olds, Lars Banko, Marc A. Little, Peng Cui, Phillip M. Maffettone, Yury Lysogorskiy","submitted_at":"2020-08-01T15:38:03Z","abstract_excerpt":"The discovery of new structural and functional materials is driven by phase identification, often using X-ray diffraction (XRD). Automation has accelerated the rate of XRD measurements, greatly outpacing XRD analysis techniques that remain manual, time-consuming, error-prone, and impossible to scale. With the advent of autonomous robotic scientists or self-driving labs, contemporary techniques prohibit the integration of XRD. Here, we describe a computer program for the autonomous characterization of XRD data, driven by artificial intelligence (AI), for the discovery of new materials. Starting"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2008.00283","kind":"arxiv","version":2},"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/2008.00283/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":"2026-07-05T02:37:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ksbMu7k95mXi98x8RP6Lv7l4w13yDqyFoVE7tZXklIDtJPl5xfBus2EqS5/mEed9qr1IzeCgboN/plx6nyHcAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T19:02:35.747226Z"},"content_sha256":"1cf1d7f6b91fddba565751d8cb88aada4f090e3c81493785bab35d24cf36b8fe","schema_version":"1.0","event_id":"sha256:1cf1d7f6b91fddba565751d8cb88aada4f090e3c81493785bab35d24cf36b8fe"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WMZOSZEYNCEZJT6A2L3RAVRJ7C/bundle.json","state_url":"https://pith.science/pith/WMZOSZEYNCEZJT6A2L3RAVRJ7C/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WMZOSZEYNCEZJT6A2L3RAVRJ7C/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":"2026-07-06T19:02:35Z","links":{"resolver":"https://pith.science/pith/WMZOSZEYNCEZJT6A2L3RAVRJ7C","bundle":"https://pith.science/pith/WMZOSZEYNCEZJT6A2L3RAVRJ7C/bundle.json","state":"https://pith.science/pith/WMZOSZEYNCEZJT6A2L3RAVRJ7C/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WMZOSZEYNCEZJT6A2L3RAVRJ7C/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:WMZOSZEYNCEZJT6A2L3RAVRJ7C","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":"4bf0c0ca8e98e390a4de551081b3e28b33dfe7e2219363b336308e65b25fbc41","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2020-08-01T15:38:03Z","title_canon_sha256":"e64d438af4b601826048395ab07fcb2516cf2cc5a1cf4d8090c77911f0780ff2"},"schema_version":"1.0","source":{"id":"2008.00283","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2008.00283","created_at":"2026-07-05T02:37:41Z"},{"alias_kind":"arxiv_version","alias_value":"2008.00283v2","created_at":"2026-07-05T02:37:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2008.00283","created_at":"2026-07-05T02:37:41Z"},{"alias_kind":"pith_short_12","alias_value":"WMZOSZEYNCEZ","created_at":"2026-07-05T02:37:41Z"},{"alias_kind":"pith_short_16","alias_value":"WMZOSZEYNCEZJT6A","created_at":"2026-07-05T02:37:41Z"},{"alias_kind":"pith_short_8","alias_value":"WMZOSZEY","created_at":"2026-07-05T02:37:41Z"}],"graph_snapshots":[{"event_id":"sha256:1cf1d7f6b91fddba565751d8cb88aada4f090e3c81493785bab35d24cf36b8fe","target":"graph","created_at":"2026-07-05T02:37:41Z","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/2008.00283/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The discovery of new structural and functional materials is driven by phase identification, often using X-ray diffraction (XRD). Automation has accelerated the rate of XRD measurements, greatly outpacing XRD analysis techniques that remain manual, time-consuming, error-prone, and impossible to scale. With the advent of autonomous robotic scientists or self-driving labs, contemporary techniques prohibit the integration of XRD. Here, we describe a computer program for the autonomous characterization of XRD data, driven by artificial intelligence (AI), for the discovery of new materials. Starting","authors_text":"Alfred Ludwig, Andrew I. Cooper, Daniel Olds, Lars Banko, Marc A. Little, Peng Cui, Phillip M. Maffettone, Yury Lysogorskiy","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2020-08-01T15:38:03Z","title":"Crystallography companion agent for high-throughput materials discovery"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2008.00283","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":"sha256:310ca8e77db3f5c4ce0b5dcc64012f84680b47c3e4d41acaeae416f77225d18a","target":"record","created_at":"2026-07-05T02:37:41Z","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":"4bf0c0ca8e98e390a4de551081b3e28b33dfe7e2219363b336308e65b25fbc41","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2020-08-01T15:38:03Z","title_canon_sha256":"e64d438af4b601826048395ab07fcb2516cf2cc5a1cf4d8090c77911f0780ff2"},"schema_version":"1.0","source":{"id":"2008.00283","kind":"arxiv","version":2}},"canonical_sha256":"b332e96498688994cfc0d2f7105629f8b3d18cded38fb622eea30600dfbe70ec","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b332e96498688994cfc0d2f7105629f8b3d18cded38fb622eea30600dfbe70ec","first_computed_at":"2026-07-05T02:37:41.654959Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:37:41.654959Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pLAH5fi9lVExXmnnBQcZ/V/wscX6JvxgvoaTpe1XR5lR0e+AkEfL1IyJszfh5OPSdcknjHWqlH7CcpHVscVPDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T02:37:41.655379Z","signed_message":"canonical_sha256_bytes"},"source_id":"2008.00283","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:310ca8e77db3f5c4ce0b5dcc64012f84680b47c3e4d41acaeae416f77225d18a","sha256:1cf1d7f6b91fddba565751d8cb88aada4f090e3c81493785bab35d24cf36b8fe"],"state_sha256":"1838cf5d63bf664c294a1d41eb87ff21a918c5d425cfeff33142e66e3dc52921"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"X3/7TNWajAEmEO/nKKaNWdlZ0VKMdX8YI8G5dtb7LTtKoLMM3gMBEaTro1PZ/Tf8ZzNMFZRxT4JR6+X3+K8xCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T19:02:35.749157Z","bundle_sha256":"381c7c37a788a847b9bf058a3d0a944f344d6b90f7c4523f6b3227598643b82b"}}