{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:TKCKVQX3MYDSSQAJXSG2X7DUKW","short_pith_number":"pith:TKCKVQX3","canonical_record":{"source":{"id":"2411.03156","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2024-11-05T14:58:31Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"7e0829054343d9bf70e1cb2ddfeb1340c2825c929de2ee670ac93833de465f4c","abstract_canon_sha256":"038d743551225d324e80f8d032c9a9dc14be1c43dc40216250eec41f61101672"},"schema_version":"1.0"},"canonical_sha256":"9a84aac2fb6607294009bc8dabfc7455a5c870b3dfe5b84ca9960d90d176eef9","source":{"kind":"arxiv","id":"2411.03156","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.03156","created_at":"2026-07-05T09:31:26Z"},{"alias_kind":"arxiv_version","alias_value":"2411.03156v1","created_at":"2026-07-05T09:31:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.03156","created_at":"2026-07-05T09:31:26Z"},{"alias_kind":"pith_short_12","alias_value":"TKCKVQX3MYDS","created_at":"2026-07-05T09:31:26Z"},{"alias_kind":"pith_short_16","alias_value":"TKCKVQX3MYDSSQAJ","created_at":"2026-07-05T09:31:26Z"},{"alias_kind":"pith_short_8","alias_value":"TKCKVQX3","created_at":"2026-07-05T09:31:26Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:TKCKVQX3MYDSSQAJXSG2X7DUKW","target":"record","payload":{"canonical_record":{"source":{"id":"2411.03156","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2024-11-05T14:58:31Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"7e0829054343d9bf70e1cb2ddfeb1340c2825c929de2ee670ac93833de465f4c","abstract_canon_sha256":"038d743551225d324e80f8d032c9a9dc14be1c43dc40216250eec41f61101672"},"schema_version":"1.0"},"canonical_sha256":"9a84aac2fb6607294009bc8dabfc7455a5c870b3dfe5b84ca9960d90d176eef9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:31:26.470129Z","signature_b64":"1qo1Fw02HY5esQTayM1WcWuFfwr0Hm58DpsDoY22upIw0X3JLaWytTnpehl32mgHjpyvrfWRO0CRgiqEPCnAAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9a84aac2fb6607294009bc8dabfc7455a5c870b3dfe5b84ca9960d90d176eef9","last_reissued_at":"2026-07-05T09:31:26.469743Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:31:26.469743Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2411.03156","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":"2026-07-05T09:31:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kzJQP2K761Pprt5iNmU3WYjZykC0lqLi6iOLHmArC0GRAiG2DebBIeqETeRk5AdXGD4ZSDPqUFGoxmALuIN5Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T05:01:26.964878Z"},"content_sha256":"ac20e3325fd0965cb75de327f23ee00a9f1d5aa3b8f9975b934b365e2752f1bf","schema_version":"1.0","event_id":"sha256:ac20e3325fd0965cb75de327f23ee00a9f1d5aa3b8f9975b934b365e2752f1bf"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:TKCKVQX3MYDSSQAJXSG2X7DUKW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Unleashing the power of novel conditional generative approaches for new materials discovery","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cond-mat.mtrl-sci","authors_text":"Andrey Kuznetsov, Denis Dimitrov, Innokentiy Humonen, Lev Novitskiy, Mikhail Tiutiulnikov, Nikita Vakhrameev, Roman Eremin, Semen Budennyy, Vladimir Lazarev","submitted_at":"2024-11-05T14:58:31Z","abstract_excerpt":"For a very long time, computational approaches to the design of new materials have relied on an iterative process of finding a candidate material and modeling its properties. AI has played a crucial role in this regard, helping to accelerate the discovery and optimization of crystal properties and structures through advanced computational methodologies and data-driven approaches. To address the problem of new materials design and fasten the process of new materials search, we have applied latest generative approaches to the problem of crystal structure design, trying to solve the inverse probl"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.03156","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/2411.03156/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":"2026-07-05T09:31:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ovpeXWEROaY8mbrCUBYuNek1//b7ahWnIrR4Yem0BVQ2sKtdTNJZAMpRAPprL6T735ElGPGyduj9IDS+ujg1CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T05:01:26.965437Z"},"content_sha256":"22231f96e2c3f5b12bd3b65aeb3853f757738bda7009b3c0aa6fe5f1cea610ec","schema_version":"1.0","event_id":"sha256:22231f96e2c3f5b12bd3b65aeb3853f757738bda7009b3c0aa6fe5f1cea610ec"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TKCKVQX3MYDSSQAJXSG2X7DUKW/bundle.json","state_url":"https://pith.science/pith/TKCKVQX3MYDSSQAJXSG2X7DUKW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TKCKVQX3MYDSSQAJXSG2X7DUKW/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":"2026-08-23T05:01:26Z","links":{"resolver":"https://pith.science/pith/TKCKVQX3MYDSSQAJXSG2X7DUKW","bundle":"https://pith.science/pith/TKCKVQX3MYDSSQAJXSG2X7DUKW/bundle.json","state":"https://pith.science/pith/TKCKVQX3MYDSSQAJXSG2X7DUKW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TKCKVQX3MYDSSQAJXSG2X7DUKW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:TKCKVQX3MYDSSQAJXSG2X7DUKW","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":"038d743551225d324e80f8d032c9a9dc14be1c43dc40216250eec41f61101672","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2024-11-05T14:58:31Z","title_canon_sha256":"7e0829054343d9bf70e1cb2ddfeb1340c2825c929de2ee670ac93833de465f4c"},"schema_version":"1.0","source":{"id":"2411.03156","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.03156","created_at":"2026-07-05T09:31:26Z"},{"alias_kind":"arxiv_version","alias_value":"2411.03156v1","created_at":"2026-07-05T09:31:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.03156","created_at":"2026-07-05T09:31:26Z"},{"alias_kind":"pith_short_12","alias_value":"TKCKVQX3MYDS","created_at":"2026-07-05T09:31:26Z"},{"alias_kind":"pith_short_16","alias_value":"TKCKVQX3MYDSSQAJ","created_at":"2026-07-05T09:31:26Z"},{"alias_kind":"pith_short_8","alias_value":"TKCKVQX3","created_at":"2026-07-05T09:31:26Z"}],"graph_snapshots":[{"event_id":"sha256:22231f96e2c3f5b12bd3b65aeb3853f757738bda7009b3c0aa6fe5f1cea610ec","target":"graph","created_at":"2026-07-05T09:31:26Z","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/2411.03156/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"For a very long time, computational approaches to the design of new materials have relied on an iterative process of finding a candidate material and modeling its properties. AI has played a crucial role in this regard, helping to accelerate the discovery and optimization of crystal properties and structures through advanced computational methodologies and data-driven approaches. To address the problem of new materials design and fasten the process of new materials search, we have applied latest generative approaches to the problem of crystal structure design, trying to solve the inverse probl","authors_text":"Andrey Kuznetsov, Denis Dimitrov, Innokentiy Humonen, Lev Novitskiy, Mikhail Tiutiulnikov, Nikita Vakhrameev, Roman Eremin, Semen Budennyy, Vladimir Lazarev","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2024-11-05T14:58:31Z","title":"Unleashing the power of novel conditional generative approaches for new materials discovery"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.03156","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:ac20e3325fd0965cb75de327f23ee00a9f1d5aa3b8f9975b934b365e2752f1bf","target":"record","created_at":"2026-07-05T09:31:26Z","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":"038d743551225d324e80f8d032c9a9dc14be1c43dc40216250eec41f61101672","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2024-11-05T14:58:31Z","title_canon_sha256":"7e0829054343d9bf70e1cb2ddfeb1340c2825c929de2ee670ac93833de465f4c"},"schema_version":"1.0","source":{"id":"2411.03156","kind":"arxiv","version":1}},"canonical_sha256":"9a84aac2fb6607294009bc8dabfc7455a5c870b3dfe5b84ca9960d90d176eef9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9a84aac2fb6607294009bc8dabfc7455a5c870b3dfe5b84ca9960d90d176eef9","first_computed_at":"2026-07-05T09:31:26.469743Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:31:26.469743Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1qo1Fw02HY5esQTayM1WcWuFfwr0Hm58DpsDoY22upIw0X3JLaWytTnpehl32mgHjpyvrfWRO0CRgiqEPCnAAA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:31:26.470129Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.03156","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ac20e3325fd0965cb75de327f23ee00a9f1d5aa3b8f9975b934b365e2752f1bf","sha256:22231f96e2c3f5b12bd3b65aeb3853f757738bda7009b3c0aa6fe5f1cea610ec"],"state_sha256":"d2a8ea8e9ebe0dfe9fc0c118be9c6e622c921ad36e60269c4b0abfd8ad874063"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3PLx/PHqi8ZjZZbF7l4gmSxYPZvgemeHko+fGoPVQErFx0cWHECqU8nN5vUrcPjkjic2DKhUOuQNvEZK1TY9DQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-23T05:01:26.969909Z","bundle_sha256":"4619daed0618573957acae772fff8b9808dd0ef0035c83fe00c997b338df4829"}}