{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:7C47E5DPMVOSR7RWUPDGZU6XL7","short_pith_number":"pith:7C47E5DP","canonical_record":{"source":{"id":"2411.14608","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2024-11-21T22:12:27Z","cross_cats_sorted":[],"title_canon_sha256":"25faeda8566da4c26134b0be0c20b0a027752eacc2eeecf274a9c085dad2a120","abstract_canon_sha256":"7c6909b1c811dd149de7a5daeec3a25c038bfc90283740499f7e77696c6b4e79"},"schema_version":"1.0"},"canonical_sha256":"f8b9f2746f655d28fe36a3c66cd3d75ffcbe9c92e4e2179b4e35b631bc8b7768","source":{"kind":"arxiv","id":"2411.14608","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.14608","created_at":"2026-07-05T11:16:30Z"},{"alias_kind":"arxiv_version","alias_value":"2411.14608v2","created_at":"2026-07-05T11:16:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.14608","created_at":"2026-07-05T11:16:30Z"},{"alias_kind":"pith_short_12","alias_value":"7C47E5DPMVOS","created_at":"2026-07-05T11:16:30Z"},{"alias_kind":"pith_short_16","alias_value":"7C47E5DPMVOSR7RW","created_at":"2026-07-05T11:16:30Z"},{"alias_kind":"pith_short_8","alias_value":"7C47E5DP","created_at":"2026-07-05T11:16:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:7C47E5DPMVOSR7RWUPDGZU6XL7","target":"record","payload":{"canonical_record":{"source":{"id":"2411.14608","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2024-11-21T22:12:27Z","cross_cats_sorted":[],"title_canon_sha256":"25faeda8566da4c26134b0be0c20b0a027752eacc2eeecf274a9c085dad2a120","abstract_canon_sha256":"7c6909b1c811dd149de7a5daeec3a25c038bfc90283740499f7e77696c6b4e79"},"schema_version":"1.0"},"canonical_sha256":"f8b9f2746f655d28fe36a3c66cd3d75ffcbe9c92e4e2179b4e35b631bc8b7768","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:16:30.678703Z","signature_b64":"zWsN6TqhHw6ZIfJry/he7LZWbwnNF+kPqgX82tT4LAbe1RNns8gZQjQZInZeaADjNksauTmwQ/S5SBc2EdiJDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f8b9f2746f655d28fe36a3c66cd3d75ffcbe9c92e4e2179b4e35b631bc8b7768","last_reissued_at":"2026-07-05T11:16:30.678079Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:16:30.678079Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2411.14608","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":"2026-07-05T11:16:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"F/7De9A+8TaovBJZwlAaD3cUlCKDECQ7Q8JVa8WlEDUo/OJGLS/I8a0adLyMZgj3G3QiYxBOAvBlmCG2E89XCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-13T09:49:04.414344Z"},"content_sha256":"4e1aa8e6fded4987db4a3cd31b1d64769c461f751abb1d7bae12009ce4c7c35b","schema_version":"1.0","event_id":"sha256:4e1aa8e6fded4987db4a3cd31b1d64769c461f751abb1d7bae12009ce4c7c35b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:7C47E5DPMVOSR7RWUPDGZU6XL7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Toward machine learning interatomic potentials for modeling uranium mononitride","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cond-mat.mtrl-sci","authors_text":"Kashi N. Subedi, Lorena Alzate-Vargas, Michael W.D Cooper, Nicholas Lubbers, Richard A. Messerly, Roxanne M. Tutchton, Tammie Gibson","submitted_at":"2024-11-21T22:12:27Z","abstract_excerpt":"Uranium mononitride (UN) is a promising accident-tolerant fuel because of its high fissile density and high thermal conductivity. In this study, we developed the first machine learning interatomic potentials for reliable atomic-scale modeling of UN at finite temperatures. We constructed a training set using density functional theory (DFT) calculations that was enriched through an active learning procedure, and two neural network potentials were generated. Both potentials successfully reproduce key thermophysical properties of interest, such as temperature-dependent lattice parameter, specific "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.14608","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/2411.14608/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":"2026-07-05T11:16:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FE00f04PAWevHZk5Wf5Y+Y/k0BlV1xCTj4Fix5waC+OMYIYohlMMvbHK8h9KLDSMoMv23DhVZbe+o2D+i2IdCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-13T09:49:04.414732Z"},"content_sha256":"3be0d376728bc7100b1f9db9822c626604509044f1576506d4cca2d01dd086c8","schema_version":"1.0","event_id":"sha256:3be0d376728bc7100b1f9db9822c626604509044f1576506d4cca2d01dd086c8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7C47E5DPMVOSR7RWUPDGZU6XL7/bundle.json","state_url":"https://pith.science/pith/7C47E5DPMVOSR7RWUPDGZU6XL7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7C47E5DPMVOSR7RWUPDGZU6XL7/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":"2026-07-13T09:49:04Z","links":{"resolver":"https://pith.science/pith/7C47E5DPMVOSR7RWUPDGZU6XL7","bundle":"https://pith.science/pith/7C47E5DPMVOSR7RWUPDGZU6XL7/bundle.json","state":"https://pith.science/pith/7C47E5DPMVOSR7RWUPDGZU6XL7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7C47E5DPMVOSR7RWUPDGZU6XL7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:7C47E5DPMVOSR7RWUPDGZU6XL7","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":"7c6909b1c811dd149de7a5daeec3a25c038bfc90283740499f7e77696c6b4e79","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2024-11-21T22:12:27Z","title_canon_sha256":"25faeda8566da4c26134b0be0c20b0a027752eacc2eeecf274a9c085dad2a120"},"schema_version":"1.0","source":{"id":"2411.14608","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.14608","created_at":"2026-07-05T11:16:30Z"},{"alias_kind":"arxiv_version","alias_value":"2411.14608v2","created_at":"2026-07-05T11:16:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.14608","created_at":"2026-07-05T11:16:30Z"},{"alias_kind":"pith_short_12","alias_value":"7C47E5DPMVOS","created_at":"2026-07-05T11:16:30Z"},{"alias_kind":"pith_short_16","alias_value":"7C47E5DPMVOSR7RW","created_at":"2026-07-05T11:16:30Z"},{"alias_kind":"pith_short_8","alias_value":"7C47E5DP","created_at":"2026-07-05T11:16:30Z"}],"graph_snapshots":[{"event_id":"sha256:3be0d376728bc7100b1f9db9822c626604509044f1576506d4cca2d01dd086c8","target":"graph","created_at":"2026-07-05T11:16:30Z","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/2411.14608/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Uranium mononitride (UN) is a promising accident-tolerant fuel because of its high fissile density and high thermal conductivity. In this study, we developed the first machine learning interatomic potentials for reliable atomic-scale modeling of UN at finite temperatures. We constructed a training set using density functional theory (DFT) calculations that was enriched through an active learning procedure, and two neural network potentials were generated. Both potentials successfully reproduce key thermophysical properties of interest, such as temperature-dependent lattice parameter, specific ","authors_text":"Kashi N. Subedi, Lorena Alzate-Vargas, Michael W.D Cooper, Nicholas Lubbers, Richard A. Messerly, Roxanne M. Tutchton, Tammie Gibson","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2024-11-21T22:12:27Z","title":"Toward machine learning interatomic potentials for modeling uranium mononitride"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.14608","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":"sha256:4e1aa8e6fded4987db4a3cd31b1d64769c461f751abb1d7bae12009ce4c7c35b","target":"record","created_at":"2026-07-05T11:16:30Z","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":"7c6909b1c811dd149de7a5daeec3a25c038bfc90283740499f7e77696c6b4e79","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2024-11-21T22:12:27Z","title_canon_sha256":"25faeda8566da4c26134b0be0c20b0a027752eacc2eeecf274a9c085dad2a120"},"schema_version":"1.0","source":{"id":"2411.14608","kind":"arxiv","version":2}},"canonical_sha256":"f8b9f2746f655d28fe36a3c66cd3d75ffcbe9c92e4e2179b4e35b631bc8b7768","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f8b9f2746f655d28fe36a3c66cd3d75ffcbe9c92e4e2179b4e35b631bc8b7768","first_computed_at":"2026-07-05T11:16:30.678079Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:16:30.678079Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zWsN6TqhHw6ZIfJry/he7LZWbwnNF+kPqgX82tT4LAbe1RNns8gZQjQZInZeaADjNksauTmwQ/S5SBc2EdiJDw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:16:30.678703Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.14608","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4e1aa8e6fded4987db4a3cd31b1d64769c461f751abb1d7bae12009ce4c7c35b","sha256:3be0d376728bc7100b1f9db9822c626604509044f1576506d4cca2d01dd086c8"],"state_sha256":"e68deda4570c3ef99b23a0810533b34a1c3e106a02b20c1589ed3bc1fffb9593"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yzlFD2padBTLOJVP9XT+SqELA0rlKUXjtcClKzp5RTJwkQD2R6xqaWcnuAkNBlpCDA7NcVU1K3VCnoYD0uV5Aw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-13T09:49:04.416779Z","bundle_sha256":"86428a706c454e1081a8e4db254b66ee0342f970784b86688352ac06ce5d645a"}}