{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:H5ZKP2FSV32ROZ5D4P77JEU5EH","short_pith_number":"pith:H5ZKP2FS","canonical_record":{"source":{"id":"2502.15582","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2025-02-21T16:45:05Z","cross_cats_sorted":[],"title_canon_sha256":"25be5c111899a0c04890e52e7bb52149efc710967771c356f579dd39ea57294d","abstract_canon_sha256":"2f37d5fce6a2961ef13e6899f87ad1859ee21a17251567d866c45075d08a74f9"},"schema_version":"1.0"},"canonical_sha256":"3f72a7e8b2aef51767a3e3fff4929d21deba87c070529b49b02eb9c09d88f5a8","source":{"kind":"arxiv","id":"2502.15582","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.15582","created_at":"2026-07-05T11:44:45Z"},{"alias_kind":"arxiv_version","alias_value":"2502.15582v3","created_at":"2026-07-05T11:44:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.15582","created_at":"2026-07-05T11:44:45Z"},{"alias_kind":"pith_short_12","alias_value":"H5ZKP2FSV32R","created_at":"2026-07-05T11:44:45Z"},{"alias_kind":"pith_short_16","alias_value":"H5ZKP2FSV32ROZ5D","created_at":"2026-07-05T11:44:45Z"},{"alias_kind":"pith_short_8","alias_value":"H5ZKP2FS","created_at":"2026-07-05T11:44:45Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:H5ZKP2FSV32ROZ5D4P77JEU5EH","target":"record","payload":{"canonical_record":{"source":{"id":"2502.15582","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2025-02-21T16:45:05Z","cross_cats_sorted":[],"title_canon_sha256":"25be5c111899a0c04890e52e7bb52149efc710967771c356f579dd39ea57294d","abstract_canon_sha256":"2f37d5fce6a2961ef13e6899f87ad1859ee21a17251567d866c45075d08a74f9"},"schema_version":"1.0"},"canonical_sha256":"3f72a7e8b2aef51767a3e3fff4929d21deba87c070529b49b02eb9c09d88f5a8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:44:45.496768Z","signature_b64":"O8H5Fk6MQ8l3XZ8aN3KvNLnPvsKQ6+YG2SxNqfq0W0q2d9jpUcOaI//C5cqxpa6sXDeiWi4ilJ0QiKU2C+kdAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3f72a7e8b2aef51767a3e3fff4929d21deba87c070529b49b02eb9c09d88f5a8","last_reissued_at":"2026-07-05T11:44:45.496246Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:44:45.496246Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.15582","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:44:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0wUWszwwxWV5Xe9Dehrr21YFS1SDvc0eBTAoFVq72q3xTykdt7ijfESKbZmepWl/1WP8MV3pBxfi6IfN9GJPCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T22:59:34.802513Z"},"content_sha256":"e08417614ad11eac69b525d8235172788ebd00135da9dbad887db6413ac9b865","schema_version":"1.0","event_id":"sha256:e08417614ad11eac69b525d8235172788ebd00135da9dbad887db6413ac9b865"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:H5ZKP2FSV32ROZ5D4P77JEU5EH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Fine-tuning foundation models of materials interatomic potentials with frozen transfer learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cond-mat.mtrl-sci","authors_text":"Albert P. Bart\\'ok, Connor S. Allen, Mariia Radova, Reinhard J. Maurer, Wojciech G. Stark","submitted_at":"2025-02-21T16:45:05Z","abstract_excerpt":"Machine-learned interatomic potentials are revolutionising atomistic materials simulations by providing accurate and scalable predictions within the scope covered by the training data. However, generation of an accurate and robust training data set remains a challenge, often requiring thousands of first-principles calculations to achieve high accuracy. Foundation models have started to emerge with the ambition to create universally applicable potentials across a wide range of materials. While foundation models can be robust and transferable, they do not yet achieve the accuracy required to pre"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.15582","kind":"arxiv","version":3},"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/2502.15582/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":"2026-07-05T11:44:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hTgMvFqOCAPENnrpj4dm2XZqMiKhp27R4edpJvKZkj6oUtVIwKEK2BzTi2cxg1sV+hRK/HlsFv69C4Zmiu9MCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T22:59:34.803034Z"},"content_sha256":"7d02ad466c8d4377c9d266680364ad5079142af689bc7619dd73eee2011d1428","schema_version":"1.0","event_id":"sha256:7d02ad466c8d4377c9d266680364ad5079142af689bc7619dd73eee2011d1428"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/H5ZKP2FSV32ROZ5D4P77JEU5EH/bundle.json","state_url":"https://pith.science/pith/H5ZKP2FSV32ROZ5D4P77JEU5EH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/H5ZKP2FSV32ROZ5D4P77JEU5EH/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":"2026-08-04T22:59:34Z","links":{"resolver":"https://pith.science/pith/H5ZKP2FSV32ROZ5D4P77JEU5EH","bundle":"https://pith.science/pith/H5ZKP2FSV32ROZ5D4P77JEU5EH/bundle.json","state":"https://pith.science/pith/H5ZKP2FSV32ROZ5D4P77JEU5EH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/H5ZKP2FSV32ROZ5D4P77JEU5EH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:H5ZKP2FSV32ROZ5D4P77JEU5EH","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":"2f37d5fce6a2961ef13e6899f87ad1859ee21a17251567d866c45075d08a74f9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2025-02-21T16:45:05Z","title_canon_sha256":"25be5c111899a0c04890e52e7bb52149efc710967771c356f579dd39ea57294d"},"schema_version":"1.0","source":{"id":"2502.15582","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.15582","created_at":"2026-07-05T11:44:45Z"},{"alias_kind":"arxiv_version","alias_value":"2502.15582v3","created_at":"2026-07-05T11:44:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.15582","created_at":"2026-07-05T11:44:45Z"},{"alias_kind":"pith_short_12","alias_value":"H5ZKP2FSV32R","created_at":"2026-07-05T11:44:45Z"},{"alias_kind":"pith_short_16","alias_value":"H5ZKP2FSV32ROZ5D","created_at":"2026-07-05T11:44:45Z"},{"alias_kind":"pith_short_8","alias_value":"H5ZKP2FS","created_at":"2026-07-05T11:44:45Z"}],"graph_snapshots":[{"event_id":"sha256:7d02ad466c8d4377c9d266680364ad5079142af689bc7619dd73eee2011d1428","target":"graph","created_at":"2026-07-05T11:44:45Z","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/2502.15582/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Machine-learned interatomic potentials are revolutionising atomistic materials simulations by providing accurate and scalable predictions within the scope covered by the training data. However, generation of an accurate and robust training data set remains a challenge, often requiring thousands of first-principles calculations to achieve high accuracy. Foundation models have started to emerge with the ambition to create universally applicable potentials across a wide range of materials. While foundation models can be robust and transferable, they do not yet achieve the accuracy required to pre","authors_text":"Albert P. Bart\\'ok, Connor S. Allen, Mariia Radova, Reinhard J. Maurer, Wojciech G. Stark","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2025-02-21T16:45:05Z","title":"Fine-tuning foundation models of materials interatomic potentials with frozen transfer learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.15582","kind":"arxiv","version":3},"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:e08417614ad11eac69b525d8235172788ebd00135da9dbad887db6413ac9b865","target":"record","created_at":"2026-07-05T11:44:45Z","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":"2f37d5fce6a2961ef13e6899f87ad1859ee21a17251567d866c45075d08a74f9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2025-02-21T16:45:05Z","title_canon_sha256":"25be5c111899a0c04890e52e7bb52149efc710967771c356f579dd39ea57294d"},"schema_version":"1.0","source":{"id":"2502.15582","kind":"arxiv","version":3}},"canonical_sha256":"3f72a7e8b2aef51767a3e3fff4929d21deba87c070529b49b02eb9c09d88f5a8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3f72a7e8b2aef51767a3e3fff4929d21deba87c070529b49b02eb9c09d88f5a8","first_computed_at":"2026-07-05T11:44:45.496246Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:44:45.496246Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"O8H5Fk6MQ8l3XZ8aN3KvNLnPvsKQ6+YG2SxNqfq0W0q2d9jpUcOaI//C5cqxpa6sXDeiWi4ilJ0QiKU2C+kdAw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:44:45.496768Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.15582","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e08417614ad11eac69b525d8235172788ebd00135da9dbad887db6413ac9b865","sha256:7d02ad466c8d4377c9d266680364ad5079142af689bc7619dd73eee2011d1428"],"state_sha256":"763b8e7c2de6471d831cca00e0498a64e58d895cb2f5a53ce8224bbf48222d8f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lEZM3I7HV6Q1wAuz/g364Z2wu8K/A6WPeUmXedBBVFx9+jyOhdbQ0y6i5k8Z2HnH6Ic7vb9Q6roklwchcsFnBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T22:59:34.808894Z","bundle_sha256":"b5282917be6a4561193462d6a36670b43c86981e5b60811ea70c78b606cb31c1"}}