{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:6GOSTSQLBKKCB37LESXA7HWSBC","short_pith_number":"pith:6GOSTSQL","canonical_record":{"source":{"id":"2405.07105","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2024-05-11T22:30:47Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"7cba270ec346e90e055a88affdf24e418d22a2b292e4b056feea57de2884a6d1","abstract_canon_sha256":"2017f2b516af62032bba5bc14569d4a3b17929b5fdce84cf79d38247ceae3b65"},"schema_version":"1.0"},"canonical_sha256":"f19d29ca0b0a9420efeb24ae0f9ed2089b1976611039a4656207e38170feb1e8","source":{"kind":"arxiv","id":"2405.07105","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.07105","created_at":"2026-07-05T08:18:16Z"},{"alias_kind":"arxiv_version","alias_value":"2405.07105v1","created_at":"2026-07-05T08:18:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.07105","created_at":"2026-07-05T08:18:16Z"},{"alias_kind":"pith_short_12","alias_value":"6GOSTSQLBKKC","created_at":"2026-07-05T08:18:16Z"},{"alias_kind":"pith_short_16","alias_value":"6GOSTSQLBKKCB37L","created_at":"2026-07-05T08:18:16Z"},{"alias_kind":"pith_short_8","alias_value":"6GOSTSQL","created_at":"2026-07-05T08:18:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:6GOSTSQLBKKCB37LESXA7HWSBC","target":"record","payload":{"canonical_record":{"source":{"id":"2405.07105","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2024-05-11T22:30:47Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"7cba270ec346e90e055a88affdf24e418d22a2b292e4b056feea57de2884a6d1","abstract_canon_sha256":"2017f2b516af62032bba5bc14569d4a3b17929b5fdce84cf79d38247ceae3b65"},"schema_version":"1.0"},"canonical_sha256":"f19d29ca0b0a9420efeb24ae0f9ed2089b1976611039a4656207e38170feb1e8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:18:16.511355Z","signature_b64":"kRRWsT9nv/SoNpP60/T2//h/FqXSsr0Zs0Q+ALA0OxJWzEQKkbtUeTAzp3WWAA0FaiPOFdaXdePyrRGD7AUAAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f19d29ca0b0a9420efeb24ae0f9ed2089b1976611039a4656207e38170feb1e8","last_reissued_at":"2026-07-05T08:18:16.510804Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:18:16.510804Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2405.07105","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":"2026-07-05T08:18:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"b5TDgupYQ8YBLsrpxBy/C7HErL5OMibtiP2g+FRzbDFMMWEwkKPOuRCZ/cLN38A+Ux2M9AthmVBL9fv8oNgSDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T04:43:48.675784Z"},"content_sha256":"b5e96b9a554b4c96d10bc01db80afc2098e64dad7bf1ebb1f3e33a55ba5aec8a","schema_version":"1.0","event_id":"sha256:b5e96b9a554b4c96d10bc01db80afc2098e64dad7bf1ebb1f3e33a55ba5aec8a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:6GOSTSQLBKKCB37LESXA7HWSBC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Overcoming systematic softening in universal machine learning interatomic potentials by fine-tuning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cond-mat.mtrl-sci","authors_text":"Bowen Deng, Gerbrand Ceder, Janosh Riebesell, Kristin A. Persson, KyuJung Jun, Peichen Zhong, Shashwat Anand, Yunyeong Choi, Zhuohan Li","submitted_at":"2024-05-11T22:30:47Z","abstract_excerpt":"Machine learning interatomic potentials (MLIPs) have introduced a new paradigm for atomic simulations. Recent advancements have seen the emergence of universal MLIPs (uMLIPs) that are pre-trained on diverse materials datasets, providing opportunities for both ready-to-use universal force fields and robust foundations for downstream machine learning refinements. However, their performance in extrapolating to out-of-distribution complex atomic environments remains unclear. In this study, we highlight a consistent potential energy surface (PES) softening effect in three uMLIPs: M3GNet, CHGNet, an"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.07105","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/2405.07105/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":"2026-07-05T08:18:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4c9jODVJLq1NcHJjhq7PweXJU8HidvUqfN4kkh6m1xuz/cl6xVfbOOaqS2WPD46d7Z2gcU+v1nqcT96bURkwAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T04:43:48.676467Z"},"content_sha256":"1e7fa1122502cc1e3123bf22cda2ef5587daa10e156bf9416ec05edc21f29af5","schema_version":"1.0","event_id":"sha256:1e7fa1122502cc1e3123bf22cda2ef5587daa10e156bf9416ec05edc21f29af5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6GOSTSQLBKKCB37LESXA7HWSBC/bundle.json","state_url":"https://pith.science/pith/6GOSTSQLBKKCB37LESXA7HWSBC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6GOSTSQLBKKCB37LESXA7HWSBC/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":"2026-07-09T04:43:48Z","links":{"resolver":"https://pith.science/pith/6GOSTSQLBKKCB37LESXA7HWSBC","bundle":"https://pith.science/pith/6GOSTSQLBKKCB37LESXA7HWSBC/bundle.json","state":"https://pith.science/pith/6GOSTSQLBKKCB37LESXA7HWSBC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6GOSTSQLBKKCB37LESXA7HWSBC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:6GOSTSQLBKKCB37LESXA7HWSBC","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":"2017f2b516af62032bba5bc14569d4a3b17929b5fdce84cf79d38247ceae3b65","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2024-05-11T22:30:47Z","title_canon_sha256":"7cba270ec346e90e055a88affdf24e418d22a2b292e4b056feea57de2884a6d1"},"schema_version":"1.0","source":{"id":"2405.07105","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.07105","created_at":"2026-07-05T08:18:16Z"},{"alias_kind":"arxiv_version","alias_value":"2405.07105v1","created_at":"2026-07-05T08:18:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.07105","created_at":"2026-07-05T08:18:16Z"},{"alias_kind":"pith_short_12","alias_value":"6GOSTSQLBKKC","created_at":"2026-07-05T08:18:16Z"},{"alias_kind":"pith_short_16","alias_value":"6GOSTSQLBKKCB37L","created_at":"2026-07-05T08:18:16Z"},{"alias_kind":"pith_short_8","alias_value":"6GOSTSQL","created_at":"2026-07-05T08:18:16Z"}],"graph_snapshots":[{"event_id":"sha256:1e7fa1122502cc1e3123bf22cda2ef5587daa10e156bf9416ec05edc21f29af5","target":"graph","created_at":"2026-07-05T08:18:16Z","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/2405.07105/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Machine learning interatomic potentials (MLIPs) have introduced a new paradigm for atomic simulations. Recent advancements have seen the emergence of universal MLIPs (uMLIPs) that are pre-trained on diverse materials datasets, providing opportunities for both ready-to-use universal force fields and robust foundations for downstream machine learning refinements. However, their performance in extrapolating to out-of-distribution complex atomic environments remains unclear. In this study, we highlight a consistent potential energy surface (PES) softening effect in three uMLIPs: M3GNet, CHGNet, an","authors_text":"Bowen Deng, Gerbrand Ceder, Janosh Riebesell, Kristin A. Persson, KyuJung Jun, Peichen Zhong, Shashwat Anand, Yunyeong Choi, Zhuohan Li","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2024-05-11T22:30:47Z","title":"Overcoming systematic softening in universal machine learning interatomic potentials by fine-tuning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.07105","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:b5e96b9a554b4c96d10bc01db80afc2098e64dad7bf1ebb1f3e33a55ba5aec8a","target":"record","created_at":"2026-07-05T08:18:16Z","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":"2017f2b516af62032bba5bc14569d4a3b17929b5fdce84cf79d38247ceae3b65","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2024-05-11T22:30:47Z","title_canon_sha256":"7cba270ec346e90e055a88affdf24e418d22a2b292e4b056feea57de2884a6d1"},"schema_version":"1.0","source":{"id":"2405.07105","kind":"arxiv","version":1}},"canonical_sha256":"f19d29ca0b0a9420efeb24ae0f9ed2089b1976611039a4656207e38170feb1e8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f19d29ca0b0a9420efeb24ae0f9ed2089b1976611039a4656207e38170feb1e8","first_computed_at":"2026-07-05T08:18:16.510804Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:18:16.510804Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"kRRWsT9nv/SoNpP60/T2//h/FqXSsr0Zs0Q+ALA0OxJWzEQKkbtUeTAzp3WWAA0FaiPOFdaXdePyrRGD7AUAAg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:18:16.511355Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.07105","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b5e96b9a554b4c96d10bc01db80afc2098e64dad7bf1ebb1f3e33a55ba5aec8a","sha256:1e7fa1122502cc1e3123bf22cda2ef5587daa10e156bf9416ec05edc21f29af5"],"state_sha256":"5ceb819a9dd6f97e5a64a430e659c0bb3920c7fd8d972f16159e4ae912dd9202"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hALvx4bnXEoBnPUmX8jqsMrog1bz3LUqXl/C9SZtcvrfLA5i4zdlyVI57dc5huyYMUSRA2Rfm1weQ/Cys/bAAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-09T04:43:48.679610Z","bundle_sha256":"ba02d4f35aa33c5fe50bd2de03287ec417166b6ad8ee4cfbc850a126be755471"}}