{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:GJYBSBASWXF2NIKUNABG3D5B7J","short_pith_number":"pith:GJYBSBAS","canonical_record":{"source":{"id":"2406.09263","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2024-06-13T16:03:15Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"400590ce4e5d2f483d8a1a355f9e285aa22d8babc9d456a998d2a27a3b88524f","abstract_canon_sha256":"79d1dc35e0d61a159d79d033c720b93fa6e075bb0711b1b2933a309e331eec75"},"schema_version":"1.0"},"canonical_sha256":"3270190412b5cba6a15468026d8fa1fa61999640597258e94c6185224ec52add","source":{"kind":"arxiv","id":"2406.09263","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.09263","created_at":"2026-07-05T08:31:53Z"},{"alias_kind":"arxiv_version","alias_value":"2406.09263v2","created_at":"2026-07-05T08:31:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.09263","created_at":"2026-07-05T08:31:53Z"},{"alias_kind":"pith_short_12","alias_value":"GJYBSBASWXF2","created_at":"2026-07-05T08:31:53Z"},{"alias_kind":"pith_short_16","alias_value":"GJYBSBASWXF2NIKU","created_at":"2026-07-05T08:31:53Z"},{"alias_kind":"pith_short_8","alias_value":"GJYBSBAS","created_at":"2026-07-05T08:31:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:GJYBSBASWXF2NIKUNABG3D5B7J","target":"record","payload":{"canonical_record":{"source":{"id":"2406.09263","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2024-06-13T16:03:15Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"400590ce4e5d2f483d8a1a355f9e285aa22d8babc9d456a998d2a27a3b88524f","abstract_canon_sha256":"79d1dc35e0d61a159d79d033c720b93fa6e075bb0711b1b2933a309e331eec75"},"schema_version":"1.0"},"canonical_sha256":"3270190412b5cba6a15468026d8fa1fa61999640597258e94c6185224ec52add","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:31:53.535003Z","signature_b64":"N/Wok4h9ckIBI4Nql8BXExOMOcUOrvRPWg+kqM1RRxtZphlCzGO2ArFh7i0oTdrwqkjnRXL11oo1b2rBn4+FDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3270190412b5cba6a15468026d8fa1fa61999640597258e94c6185224ec52add","last_reissued_at":"2026-07-05T08:31:53.534514Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:31:53.534514Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2406.09263","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":"2026-07-05T08:31:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1fj2PqKxQhBsjfxL8oPw7pfZmvmRspvxIM1t64tRnpIgAu3NKwDX5APFwUaN7dSDS4Y8MCsRgZ4Gd8jq31iWCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T00:11:06.801534Z"},"content_sha256":"1b9ef75dff0f9dae834974c8a36cd9096e0d05684e75304bd25711ded1c68acb","schema_version":"1.0","event_id":"sha256:1b9ef75dff0f9dae834974c8a36cd9096e0d05684e75304bd25711ded1c68acb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:GJYBSBASWXF2NIKUNABG3D5B7J","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Generative Inverse Design of Crystal Structures via Diffusion Models with Transformers","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cond-mat.mtrl-sci","authors_text":"Izumi Takahara, Kiyou Shibata, Teruyasu Mizoguchi","submitted_at":"2024-06-13T16:03:15Z","abstract_excerpt":"Recent advances in deep learning have enabled the generation of realistic data by training generative models on large datasets of text, images, and audio. While these models have demonstrated exceptional performance in generating novel and plausible data, it remains an open question whether they can effectively accelerate scientific discovery through the data generation and drive significant advancements across various scientific fields. In particular, the discovery of new inorganic materials with promising properties poses a critical challenge, both scientifically and for industrial applicati"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.09263","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/2406.09263/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":"2026-07-05T08:31:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XVgwN04arG0MYmQZ8HP3yH90aMz41ItazdY2QK6kKrj5gehf0eeEsB2mxVXy3KtJnxO1IuMNrVltV+b1kcY2Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T00:11:06.802417Z"},"content_sha256":"6a895d0876be9e740c880f9ac320f2bceee2cfdd94e1452de49a3a9731d7b3e1","schema_version":"1.0","event_id":"sha256:6a895d0876be9e740c880f9ac320f2bceee2cfdd94e1452de49a3a9731d7b3e1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GJYBSBASWXF2NIKUNABG3D5B7J/bundle.json","state_url":"https://pith.science/pith/GJYBSBASWXF2NIKUNABG3D5B7J/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GJYBSBASWXF2NIKUNABG3D5B7J/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":"2026-08-11T00:11:06Z","links":{"resolver":"https://pith.science/pith/GJYBSBASWXF2NIKUNABG3D5B7J","bundle":"https://pith.science/pith/GJYBSBASWXF2NIKUNABG3D5B7J/bundle.json","state":"https://pith.science/pith/GJYBSBASWXF2NIKUNABG3D5B7J/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GJYBSBASWXF2NIKUNABG3D5B7J/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:GJYBSBASWXF2NIKUNABG3D5B7J","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":"79d1dc35e0d61a159d79d033c720b93fa6e075bb0711b1b2933a309e331eec75","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2024-06-13T16:03:15Z","title_canon_sha256":"400590ce4e5d2f483d8a1a355f9e285aa22d8babc9d456a998d2a27a3b88524f"},"schema_version":"1.0","source":{"id":"2406.09263","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.09263","created_at":"2026-07-05T08:31:53Z"},{"alias_kind":"arxiv_version","alias_value":"2406.09263v2","created_at":"2026-07-05T08:31:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.09263","created_at":"2026-07-05T08:31:53Z"},{"alias_kind":"pith_short_12","alias_value":"GJYBSBASWXF2","created_at":"2026-07-05T08:31:53Z"},{"alias_kind":"pith_short_16","alias_value":"GJYBSBASWXF2NIKU","created_at":"2026-07-05T08:31:53Z"},{"alias_kind":"pith_short_8","alias_value":"GJYBSBAS","created_at":"2026-07-05T08:31:53Z"}],"graph_snapshots":[{"event_id":"sha256:6a895d0876be9e740c880f9ac320f2bceee2cfdd94e1452de49a3a9731d7b3e1","target":"graph","created_at":"2026-07-05T08:31:53Z","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/2406.09263/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advances in deep learning have enabled the generation of realistic data by training generative models on large datasets of text, images, and audio. While these models have demonstrated exceptional performance in generating novel and plausible data, it remains an open question whether they can effectively accelerate scientific discovery through the data generation and drive significant advancements across various scientific fields. In particular, the discovery of new inorganic materials with promising properties poses a critical challenge, both scientifically and for industrial applicati","authors_text":"Izumi Takahara, Kiyou Shibata, Teruyasu Mizoguchi","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2024-06-13T16:03:15Z","title":"Generative Inverse Design of Crystal Structures via Diffusion Models with Transformers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.09263","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":"sha256:1b9ef75dff0f9dae834974c8a36cd9096e0d05684e75304bd25711ded1c68acb","target":"record","created_at":"2026-07-05T08:31:53Z","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":"79d1dc35e0d61a159d79d033c720b93fa6e075bb0711b1b2933a309e331eec75","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2024-06-13T16:03:15Z","title_canon_sha256":"400590ce4e5d2f483d8a1a355f9e285aa22d8babc9d456a998d2a27a3b88524f"},"schema_version":"1.0","source":{"id":"2406.09263","kind":"arxiv","version":2}},"canonical_sha256":"3270190412b5cba6a15468026d8fa1fa61999640597258e94c6185224ec52add","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3270190412b5cba6a15468026d8fa1fa61999640597258e94c6185224ec52add","first_computed_at":"2026-07-05T08:31:53.534514Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:31:53.534514Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"N/Wok4h9ckIBI4Nql8BXExOMOcUOrvRPWg+kqM1RRxtZphlCzGO2ArFh7i0oTdrwqkjnRXL11oo1b2rBn4+FDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:31:53.535003Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.09263","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1b9ef75dff0f9dae834974c8a36cd9096e0d05684e75304bd25711ded1c68acb","sha256:6a895d0876be9e740c880f9ac320f2bceee2cfdd94e1452de49a3a9731d7b3e1"],"state_sha256":"4814d1094b95d6cbfcc51ed5a978b0bf8747da064175687b8b3ad5ed71bef2c7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UMb8wdYzb1GMOKE/m24i7KeeqY3/gCZwDFyGUW+Exokontds0moegiQriCROqXrv4uK5Qz7x/lT5T5uaVuIoBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T00:11:06.807476Z","bundle_sha256":"2757015ce9c564a6c2f15ae5797b3bb6dbe2b73a9ebfa7bf3557a4d0909766ac"}}