{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:ONMSUSPY4ODDEH2UTGDYIRLSKE","short_pith_number":"pith:ONMSUSPY","canonical_record":{"source":{"id":"2504.14849","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2025-04-21T04:03:32Z","cross_cats_sorted":[],"title_canon_sha256":"e73e473b5c1ad8f28f5151aa52a6aa4556415189f1886efed9484ecfdf1796aa","abstract_canon_sha256":"d2a3337b22d6a01faefe1e3ddaab2dc00b45e77806af30eb54c104bf67add899"},"schema_version":"1.0"},"canonical_sha256":"73592a49f8e386321f5499878445725130bd49e215ac848cc8c27606fc2ae1b4","source":{"kind":"arxiv","id":"2504.14849","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.14849","created_at":"2026-07-05T10:51:51Z"},{"alias_kind":"arxiv_version","alias_value":"2504.14849v1","created_at":"2026-07-05T10:51:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.14849","created_at":"2026-07-05T10:51:51Z"},{"alias_kind":"pith_short_12","alias_value":"ONMSUSPY4ODD","created_at":"2026-07-05T10:51:51Z"},{"alias_kind":"pith_short_16","alias_value":"ONMSUSPY4ODDEH2U","created_at":"2026-07-05T10:51:51Z"},{"alias_kind":"pith_short_8","alias_value":"ONMSUSPY","created_at":"2026-07-05T10:51:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:ONMSUSPY4ODDEH2UTGDYIRLSKE","target":"record","payload":{"canonical_record":{"source":{"id":"2504.14849","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2025-04-21T04:03:32Z","cross_cats_sorted":[],"title_canon_sha256":"e73e473b5c1ad8f28f5151aa52a6aa4556415189f1886efed9484ecfdf1796aa","abstract_canon_sha256":"d2a3337b22d6a01faefe1e3ddaab2dc00b45e77806af30eb54c104bf67add899"},"schema_version":"1.0"},"canonical_sha256":"73592a49f8e386321f5499878445725130bd49e215ac848cc8c27606fc2ae1b4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:51:51.572511Z","signature_b64":"/e0AVFAcpyJ/okeYF4cKTuNyOZjGn3orbS25tmtnKqm/r4GcDfdTCLpqh2RNy7+aVsDVfNsufv1BNoux3yQMAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"73592a49f8e386321f5499878445725130bd49e215ac848cc8c27606fc2ae1b4","last_reissued_at":"2026-07-05T10:51:51.571972Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:51:51.571972Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2504.14849","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:51:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"n88nA8dW67/8nuqig1cpdO4TwEFXWpj7xL+rE8+ylhO/J2B44s1LDzh3XFWwY6YLuM/f9B9GkXwRMzfChIihBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T03:40:51.236709Z"},"content_sha256":"52d3035e2a7063bbc05c05f2e49b4da2b278556f1fc575bb8e8cb53d87627a9c","schema_version":"1.0","event_id":"sha256:52d3035e2a7063bbc05c05f2e49b4da2b278556f1fc575bb8e8cb53d87627a9c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:ONMSUSPY4ODDEH2UTGDYIRLSKE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Language Models for Materials Discovery and Sustainability: Progress, Challenges, and Opportunities","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cond-mat.mtrl-sci","authors_text":"Jiaxin Zhang, Junqi Yin, Zongrui Pei","submitted_at":"2025-04-21T04:03:32Z","abstract_excerpt":"Significant advancements have been made in one of the most critical branches of artificial intelligence: natural language processing (NLP). These advancements are exemplified by the remarkable success of OpenAI's GPT-3.5/4 and the recent release of GPT-4.5, which have sparked a global surge of interest akin to an NLP gold rush. In this article, we offer our perspective on the development and application of NLP and large language models (LLMs) in materials science. We begin by presenting an overview of recent advancements in NLP within the broader scientific landscape, with a particular focus o"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.14849","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/2504.14849/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":"2026-07-05T10:51:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BVPlIMR/lTunjOQaAfCEypJZWvqGto9otsWt0aOT0egjJyy9HWwOmYxnaHhmWGFOvlZGngSIKNeZnKHS9TRVBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T03:40:51.237272Z"},"content_sha256":"83cf4c91e4546f131f685b839f0840346cffbe21fb059a480e062f2c4e6782a3","schema_version":"1.0","event_id":"sha256:83cf4c91e4546f131f685b839f0840346cffbe21fb059a480e062f2c4e6782a3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ONMSUSPY4ODDEH2UTGDYIRLSKE/bundle.json","state_url":"https://pith.science/pith/ONMSUSPY4ODDEH2UTGDYIRLSKE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ONMSUSPY4ODDEH2UTGDYIRLSKE/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":"2026-08-17T03:40:51Z","links":{"resolver":"https://pith.science/pith/ONMSUSPY4ODDEH2UTGDYIRLSKE","bundle":"https://pith.science/pith/ONMSUSPY4ODDEH2UTGDYIRLSKE/bundle.json","state":"https://pith.science/pith/ONMSUSPY4ODDEH2UTGDYIRLSKE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ONMSUSPY4ODDEH2UTGDYIRLSKE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:ONMSUSPY4ODDEH2UTGDYIRLSKE","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":"d2a3337b22d6a01faefe1e3ddaab2dc00b45e77806af30eb54c104bf67add899","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2025-04-21T04:03:32Z","title_canon_sha256":"e73e473b5c1ad8f28f5151aa52a6aa4556415189f1886efed9484ecfdf1796aa"},"schema_version":"1.0","source":{"id":"2504.14849","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.14849","created_at":"2026-07-05T10:51:51Z"},{"alias_kind":"arxiv_version","alias_value":"2504.14849v1","created_at":"2026-07-05T10:51:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.14849","created_at":"2026-07-05T10:51:51Z"},{"alias_kind":"pith_short_12","alias_value":"ONMSUSPY4ODD","created_at":"2026-07-05T10:51:51Z"},{"alias_kind":"pith_short_16","alias_value":"ONMSUSPY4ODDEH2U","created_at":"2026-07-05T10:51:51Z"},{"alias_kind":"pith_short_8","alias_value":"ONMSUSPY","created_at":"2026-07-05T10:51:51Z"}],"graph_snapshots":[{"event_id":"sha256:83cf4c91e4546f131f685b839f0840346cffbe21fb059a480e062f2c4e6782a3","target":"graph","created_at":"2026-07-05T10:51:51Z","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/2504.14849/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Significant advancements have been made in one of the most critical branches of artificial intelligence: natural language processing (NLP). These advancements are exemplified by the remarkable success of OpenAI's GPT-3.5/4 and the recent release of GPT-4.5, which have sparked a global surge of interest akin to an NLP gold rush. In this article, we offer our perspective on the development and application of NLP and large language models (LLMs) in materials science. We begin by presenting an overview of recent advancements in NLP within the broader scientific landscape, with a particular focus o","authors_text":"Jiaxin Zhang, Junqi Yin, Zongrui Pei","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2025-04-21T04:03:32Z","title":"Language Models for Materials Discovery and Sustainability: Progress, Challenges, and Opportunities"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.14849","kind":"arxiv","version":1},"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":"sha256:52d3035e2a7063bbc05c05f2e49b4da2b278556f1fc575bb8e8cb53d87627a9c","target":"record","created_at":"2026-07-05T10:51:51Z","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":"d2a3337b22d6a01faefe1e3ddaab2dc00b45e77806af30eb54c104bf67add899","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2025-04-21T04:03:32Z","title_canon_sha256":"e73e473b5c1ad8f28f5151aa52a6aa4556415189f1886efed9484ecfdf1796aa"},"schema_version":"1.0","source":{"id":"2504.14849","kind":"arxiv","version":1}},"canonical_sha256":"73592a49f8e386321f5499878445725130bd49e215ac848cc8c27606fc2ae1b4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"73592a49f8e386321f5499878445725130bd49e215ac848cc8c27606fc2ae1b4","first_computed_at":"2026-07-05T10:51:51.571972Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:51:51.571972Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/e0AVFAcpyJ/okeYF4cKTuNyOZjGn3orbS25tmtnKqm/r4GcDfdTCLpqh2RNy7+aVsDVfNsufv1BNoux3yQMAA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:51:51.572511Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.14849","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:52d3035e2a7063bbc05c05f2e49b4da2b278556f1fc575bb8e8cb53d87627a9c","sha256:83cf4c91e4546f131f685b839f0840346cffbe21fb059a480e062f2c4e6782a3"],"state_sha256":"52f1181e787de4c3a4afd7004df536beac4ea0baa127db75d3f52698be6a2815"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3OP9rw2RXTAnBWfTtzwMIZ7lHVAvbBDOPSxocNucZbR+J8L+bqHEnEdH0Oab3EC0CefW/mwvdjyNENWB2870CQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T03:40:51.242042Z","bundle_sha256":"7d3237c4c901d90561a1faa04c406b5766a5f862be8c97b8c99a2b1df8e6fdbb"}}