{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:NK2EHMM4NCQT33SRGCP2U5QIMZ","short_pith_number":"pith:NK2EHMM4","canonical_record":{"source":{"id":"2304.02213","kind":"arxiv","version":5},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2023-04-05T04:01:52Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"83bc5b945b7cae0b231717f155fd2ff19e945342b9c2a5cff23d8a70f98fecf2","abstract_canon_sha256":"6dd9d72a16eb9b923e37b1680b2fc3b0153efb75ed2712570a049b534fb9a008"},"schema_version":"1.0"},"canonical_sha256":"6ab443b19c68a13dee51309faa76086659fa60ae552d472ff7b5075887d81d05","source":{"kind":"arxiv","id":"2304.02213","version":5},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.02213","created_at":"2026-07-05T06:00:17Z"},{"alias_kind":"arxiv_version","alias_value":"2304.02213v5","created_at":"2026-07-05T06:00:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.02213","created_at":"2026-07-05T06:00:17Z"},{"alias_kind":"pith_short_12","alias_value":"NK2EHMM4NCQT","created_at":"2026-07-05T06:00:17Z"},{"alias_kind":"pith_short_16","alias_value":"NK2EHMM4NCQT33SR","created_at":"2026-07-05T06:00:17Z"},{"alias_kind":"pith_short_8","alias_value":"NK2EHMM4","created_at":"2026-07-05T06:00:17Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:NK2EHMM4NCQT33SRGCP2U5QIMZ","target":"record","payload":{"canonical_record":{"source":{"id":"2304.02213","kind":"arxiv","version":5},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2023-04-05T04:01:52Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"83bc5b945b7cae0b231717f155fd2ff19e945342b9c2a5cff23d8a70f98fecf2","abstract_canon_sha256":"6dd9d72a16eb9b923e37b1680b2fc3b0153efb75ed2712570a049b534fb9a008"},"schema_version":"1.0"},"canonical_sha256":"6ab443b19c68a13dee51309faa76086659fa60ae552d472ff7b5075887d81d05","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:00:17.331872Z","signature_b64":"o59Wli25p6ZxiPf8/T8th9fP6+lQsH1VvIhIioFG2jCaTVaq0etHjEnm/8Jc7WqGWkiNw0Eoc9HZLc87EveaAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6ab443b19c68a13dee51309faa76086659fa60ae552d472ff7b5075887d81d05","last_reissued_at":"2026-07-05T06:00:17.331347Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:00:17.331347Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2304.02213","source_version":5,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:00:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zrseA1GZ8LPkw2hrkt0qFg27G5vGQhlCBz9dM/buTCMtYHWNoMwzyj2VjqTMXUk1A3QWk+h0YHuekfn53OWeCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T23:07:44.385243Z"},"content_sha256":"e190ccc2b92e6d9dfb67088be6d06ccd6b66280aad3073ab249a11f91289b141","schema_version":"1.0","event_id":"sha256:e190ccc2b92e6d9dfb67088be6d06ccd6b66280aad3073ab249a11f91289b141"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:NK2EHMM4NCQT33SRGCP2U5QIMZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Large Language Models as Master Key: Unlocking the Secrets of Materials Science with GPT","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Bram Hoex, Chunyu Kit, Clara Grazian, Qingyuan Linghu, Shaozhou Wang, Tong Xie, Wei Huang, Wenjie Zhang, Yixuan Liu, Yufei Zhou, Yuwei Wan","submitted_at":"2023-04-05T04:01:52Z","abstract_excerpt":"The amount of data has growing significance in exploring cutting-edge materials and a number of datasets have been generated either by hand or automated approaches. However, the materials science field struggles to effectively utilize the abundance of data, especially in applied disciplines where materials are evaluated based on device performance rather than their properties. This article presents a new natural language processing (NLP) task called structured information inference (SII) to address the complexities of information extraction at the device level in materials science. We accompli"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.02213","kind":"arxiv","version":5},"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/2304.02213/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":"2026-07-05T06:00:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gONdBOnSca/g7yPNM749iYsTP5VuUfZexEgvM8EGg/1adngK8UCfjNM/Xhi++6/i0x7IKYDVUgGcPPO14gqpBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T23:07:44.385781Z"},"content_sha256":"5f3270f7c648440ba7201e9457190a2e5a1c6c16da8f947ee2bc819ada3daed5","schema_version":"1.0","event_id":"sha256:5f3270f7c648440ba7201e9457190a2e5a1c6c16da8f947ee2bc819ada3daed5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NK2EHMM4NCQT33SRGCP2U5QIMZ/bundle.json","state_url":"https://pith.science/pith/NK2EHMM4NCQT33SRGCP2U5QIMZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NK2EHMM4NCQT33SRGCP2U5QIMZ/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":"2026-08-09T23:07:44Z","links":{"resolver":"https://pith.science/pith/NK2EHMM4NCQT33SRGCP2U5QIMZ","bundle":"https://pith.science/pith/NK2EHMM4NCQT33SRGCP2U5QIMZ/bundle.json","state":"https://pith.science/pith/NK2EHMM4NCQT33SRGCP2U5QIMZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NK2EHMM4NCQT33SRGCP2U5QIMZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:NK2EHMM4NCQT33SRGCP2U5QIMZ","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":"6dd9d72a16eb9b923e37b1680b2fc3b0153efb75ed2712570a049b534fb9a008","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2023-04-05T04:01:52Z","title_canon_sha256":"83bc5b945b7cae0b231717f155fd2ff19e945342b9c2a5cff23d8a70f98fecf2"},"schema_version":"1.0","source":{"id":"2304.02213","kind":"arxiv","version":5}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.02213","created_at":"2026-07-05T06:00:17Z"},{"alias_kind":"arxiv_version","alias_value":"2304.02213v5","created_at":"2026-07-05T06:00:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.02213","created_at":"2026-07-05T06:00:17Z"},{"alias_kind":"pith_short_12","alias_value":"NK2EHMM4NCQT","created_at":"2026-07-05T06:00:17Z"},{"alias_kind":"pith_short_16","alias_value":"NK2EHMM4NCQT33SR","created_at":"2026-07-05T06:00:17Z"},{"alias_kind":"pith_short_8","alias_value":"NK2EHMM4","created_at":"2026-07-05T06:00:17Z"}],"graph_snapshots":[{"event_id":"sha256:5f3270f7c648440ba7201e9457190a2e5a1c6c16da8f947ee2bc819ada3daed5","target":"graph","created_at":"2026-07-05T06:00:17Z","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/2304.02213/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The amount of data has growing significance in exploring cutting-edge materials and a number of datasets have been generated either by hand or automated approaches. However, the materials science field struggles to effectively utilize the abundance of data, especially in applied disciplines where materials are evaluated based on device performance rather than their properties. This article presents a new natural language processing (NLP) task called structured information inference (SII) to address the complexities of information extraction at the device level in materials science. We accompli","authors_text":"Bram Hoex, Chunyu Kit, Clara Grazian, Qingyuan Linghu, Shaozhou Wang, Tong Xie, Wei Huang, Wenjie Zhang, Yixuan Liu, Yufei Zhou, Yuwei Wan","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2023-04-05T04:01:52Z","title":"Large Language Models as Master Key: Unlocking the Secrets of Materials Science with GPT"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.02213","kind":"arxiv","version":5},"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:e190ccc2b92e6d9dfb67088be6d06ccd6b66280aad3073ab249a11f91289b141","target":"record","created_at":"2026-07-05T06:00:17Z","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":"6dd9d72a16eb9b923e37b1680b2fc3b0153efb75ed2712570a049b534fb9a008","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2023-04-05T04:01:52Z","title_canon_sha256":"83bc5b945b7cae0b231717f155fd2ff19e945342b9c2a5cff23d8a70f98fecf2"},"schema_version":"1.0","source":{"id":"2304.02213","kind":"arxiv","version":5}},"canonical_sha256":"6ab443b19c68a13dee51309faa76086659fa60ae552d472ff7b5075887d81d05","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6ab443b19c68a13dee51309faa76086659fa60ae552d472ff7b5075887d81d05","first_computed_at":"2026-07-05T06:00:17.331347Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:00:17.331347Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"o59Wli25p6ZxiPf8/T8th9fP6+lQsH1VvIhIioFG2jCaTVaq0etHjEnm/8Jc7WqGWkiNw0Eoc9HZLc87EveaAw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:00:17.331872Z","signed_message":"canonical_sha256_bytes"},"source_id":"2304.02213","source_kind":"arxiv","source_version":5}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e190ccc2b92e6d9dfb67088be6d06ccd6b66280aad3073ab249a11f91289b141","sha256:5f3270f7c648440ba7201e9457190a2e5a1c6c16da8f947ee2bc819ada3daed5"],"state_sha256":"d25c83a7d0509c1aeb043c96e9120924137494c6a657893ad7c83e87807a38e2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mLu5ikzkZrP+lbJkYg84Gepc0irPb2ljmyn2FN+oZLBIq/5SajmSR189JJgqrWPpYwxMZrCkwSU+tj8eyOvEBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T23:07:44.392414Z","bundle_sha256":"304e2112b153b28b6beb261091396f02360cc0b2a9151cb0dc235a7b9da9313e"}}