{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:HRB5Y5HSOWI3WQLWAADYT4U3HK","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":"461f814da9df011e63bf9355534434e1256c3d1ae36f2358ae04e857123cae59","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-03-02T03:09:06Z","title_canon_sha256":"576063044135b84d86d7b92a942cbe80bb7e38924a1e452f15d11ca3ac1c95de"},"schema_version":"1.0","source":{"id":"2103.01436","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2103.01436","created_at":"2026-07-05T02:19:18Z"},{"alias_kind":"arxiv_version","alias_value":"2103.01436v1","created_at":"2026-07-05T02:19:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.01436","created_at":"2026-07-05T02:19:18Z"},{"alias_kind":"pith_short_12","alias_value":"HRB5Y5HSOWI3","created_at":"2026-07-05T02:19:18Z"},{"alias_kind":"pith_short_16","alias_value":"HRB5Y5HSOWI3WQLW","created_at":"2026-07-05T02:19:18Z"},{"alias_kind":"pith_short_8","alias_value":"HRB5Y5HS","created_at":"2026-07-05T02:19:18Z"}],"graph_snapshots":[{"event_id":"sha256:e2c8bf115b03edab76d17812de4463263aa560673843d83c4ab6f3d12ce4a3cc","target":"graph","created_at":"2026-07-05T02:19:18Z","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/2103.01436/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With massive amounts of atomic simulation data available, there is a huge opportunity to develop fast and accurate machine learning models to approximate expensive physics-based calculations. The key quantity to estimate is atomic forces, where the state-of-the-art Graph Neural Networks (GNNs) explicitly enforce basic physical constraints such as rotation-covariance. However, to strictly satisfy the physical constraints, existing models have to make tradeoffs between computational efficiency and model expressiveness. Here we explore an alternative approach. By not imposing explicit physical co","authors_text":"Abhishek Das, Anuroop Sriram, C. Lawrence Zitnick, Devi Parikh, Jure Leskovec, Muhammed Shuaibi, Siddharth Goyal, Weihua Hu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-03-02T03:09:06Z","title":"ForceNet: A Graph Neural Network for Large-Scale Quantum Calculations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.01436","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:fb9a0a279d5832aab523a877902982fc767323cb8bf291979d142f2e8d837255","target":"record","created_at":"2026-07-05T02:19:18Z","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":"461f814da9df011e63bf9355534434e1256c3d1ae36f2358ae04e857123cae59","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-03-02T03:09:06Z","title_canon_sha256":"576063044135b84d86d7b92a942cbe80bb7e38924a1e452f15d11ca3ac1c95de"},"schema_version":"1.0","source":{"id":"2103.01436","kind":"arxiv","version":1}},"canonical_sha256":"3c43dc74f27591bb4176000789f29b3a875c96a61d9b351191dadab4ee7c3dd2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3c43dc74f27591bb4176000789f29b3a875c96a61d9b351191dadab4ee7c3dd2","first_computed_at":"2026-07-05T02:19:18.041112Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:19:18.041112Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"czhpiDBghrh17phJiQkVe/C/rMu/pmNmtinMI8lm0jVkrqE0S4Xd8b51enHsUojmC7LANCQrfZzcjivn9vkQCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T02:19:18.041541Z","signed_message":"canonical_sha256_bytes"},"source_id":"2103.01436","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fb9a0a279d5832aab523a877902982fc767323cb8bf291979d142f2e8d837255","sha256:e2c8bf115b03edab76d17812de4463263aa560673843d83c4ab6f3d12ce4a3cc"],"state_sha256":"c8832066020c8802b7135edf74dd52606dd0666ee708e9b9fd5dfd4f5c00956b"}