{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:HHNPGU2HMOHNXLFCG4RXGZNOCT","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":"5907ca0f176b542bfbfabf5d0f28501873dab709caf57c7c7afe636ba8c00fb3","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.soft","submitted_at":"2020-11-04T21:36:59Z","title_canon_sha256":"015dc530436b5a02e14b011cc3653ea91b93e74bd249ccbad3b826eb4d7ca78f"},"schema_version":"1.0","source":{"id":"2011.02551","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2011.02551","created_at":"2026-07-05T01:49:22Z"},{"alias_kind":"arxiv_version","alias_value":"2011.02551v1","created_at":"2026-07-05T01:49:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2011.02551","created_at":"2026-07-05T01:49:22Z"},{"alias_kind":"pith_short_12","alias_value":"HHNPGU2HMOHN","created_at":"2026-07-05T01:49:22Z"},{"alias_kind":"pith_short_16","alias_value":"HHNPGU2HMOHNXLFC","created_at":"2026-07-05T01:49:22Z"},{"alias_kind":"pith_short_8","alias_value":"HHNPGU2H","created_at":"2026-07-05T01:49:22Z"}],"graph_snapshots":[{"event_id":"sha256:a17eec5a158998f6e31cc9f72df32f2d0b156ac1296a0ca1b48426ef743ae2cd","target":"graph","created_at":"2026-07-05T01:49:22Z","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/2011.02551/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The design/discovery of new materials is highly non-trivial owing to the near-infinite possibilities of material candidates, and multiple required property/performance objectives. Thus, machine learning tools are now commonly employed to virtually screen material candidates with desired properties by learning a theoretical mapping from material-to-property space, referred to as the \\emph{forward} problem. However, this approach is inefficient, and severely constrained by the candidates that human imagination can conceive. Thus, in this work on polymers, we tackle the materials discovery challe","authors_text":"Chiho Kim, Hanjun Dai, Le Song, Lihua Chen, Rampi Ramprasad, Rohit Batra, Tran Doan Huan, Will R. Gutekunst","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.soft","submitted_at":"2020-11-04T21:36:59Z","title":"Polymers for Extreme Conditions Designed Using Syntax-Directed Variational Autoencoders"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2011.02551","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":"sha256:15460e44f66552c36f777175c5f78939c1ff1b78334a7648fbdce00f8310ec53","target":"record","created_at":"2026-07-05T01:49:22Z","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":"5907ca0f176b542bfbfabf5d0f28501873dab709caf57c7c7afe636ba8c00fb3","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.soft","submitted_at":"2020-11-04T21:36:59Z","title_canon_sha256":"015dc530436b5a02e14b011cc3653ea91b93e74bd249ccbad3b826eb4d7ca78f"},"schema_version":"1.0","source":{"id":"2011.02551","kind":"arxiv","version":1}},"canonical_sha256":"39daf35347638edbaca237237365ae14ec93b792136831cfe2371d289fed88ef","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"39daf35347638edbaca237237365ae14ec93b792136831cfe2371d289fed88ef","first_computed_at":"2026-07-05T01:49:22.350043Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:49:22.350043Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xNZpzu7aMWFC9LcIZr6DzisnD5TaTkr6accdpriVJIkX/CvUujv9wPOlSgDl7Nr7W8D1C/gJ5NaOTM3JQ+AVCA==","signature_status":"signed_v1","signed_at":"2026-07-05T01:49:22.350577Z","signed_message":"canonical_sha256_bytes"},"source_id":"2011.02551","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:15460e44f66552c36f777175c5f78939c1ff1b78334a7648fbdce00f8310ec53","sha256:a17eec5a158998f6e31cc9f72df32f2d0b156ac1296a0ca1b48426ef743ae2cd"],"state_sha256":"33299e0648f692ca337b6f57e95a5f8d2dd765b5434ddf22375d5d410ffc3d1c"}