{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:LSYIOFSTXFHIWWY5LN4OE4PMTY","short_pith_number":"pith:LSYIOFST","canonical_record":{"source":{"id":"2605.25032","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2026-05-24T12:18:50Z","cross_cats_sorted":["physics.comp-ph"],"title_canon_sha256":"ac929ce75f6b6bd0e7b2f1769e510a0ea984ad97fa4682cad5dfa1229dae258d","abstract_canon_sha256":"54277a6c55f1141eba1e94b64b7e3d5865e446a1bdd9690191f632005bdbe939"},"schema_version":"1.0"},"canonical_sha256":"5cb0871653b94e8b5b1d5b78e271ec9e3ec5025296cc3d6b53a9b82d0fdde143","source":{"kind":"arxiv","id":"2605.25032","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.25032","created_at":"2026-05-26T01:04:11Z"},{"alias_kind":"arxiv_version","alias_value":"2605.25032v1","created_at":"2026-05-26T01:04:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.25032","created_at":"2026-05-26T01:04:11Z"},{"alias_kind":"pith_short_12","alias_value":"LSYIOFSTXFHI","created_at":"2026-05-26T01:04:11Z"},{"alias_kind":"pith_short_16","alias_value":"LSYIOFSTXFHIWWY5","created_at":"2026-05-26T01:04:11Z"},{"alias_kind":"pith_short_8","alias_value":"LSYIOFST","created_at":"2026-05-26T01:04:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:LSYIOFSTXFHIWWY5LN4OE4PMTY","target":"record","payload":{"canonical_record":{"source":{"id":"2605.25032","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2026-05-24T12:18:50Z","cross_cats_sorted":["physics.comp-ph"],"title_canon_sha256":"ac929ce75f6b6bd0e7b2f1769e510a0ea984ad97fa4682cad5dfa1229dae258d","abstract_canon_sha256":"54277a6c55f1141eba1e94b64b7e3d5865e446a1bdd9690191f632005bdbe939"},"schema_version":"1.0"},"canonical_sha256":"5cb0871653b94e8b5b1d5b78e271ec9e3ec5025296cc3d6b53a9b82d0fdde143","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-26T01:04:11.286611Z","signature_b64":"8IwZRMVF1+1xGhx98E3KYkyhxG8CZqullFEP8zp4QIG5rHln3Gg0fCwsYFCgywIn20OpVLtjPcvfc8DJwtSPAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5cb0871653b94e8b5b1d5b78e271ec9e3ec5025296cc3d6b53a9b82d0fdde143","last_reissued_at":"2026-05-26T01:04:11.286073Z","signature_status":"signed_v1","first_computed_at":"2026-05-26T01:04:11.286073Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.25032","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":"2026-05-26T01:04:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XiKsrspCwo8x0hkkTbaTofZNOyDboQCrohWYulNmqNMrvqeqCy9oAB9y9vPOjiPwlvuOIaQRnWsqdQpTDEcrBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-25T15:21:56.481893Z"},"content_sha256":"39cc73dcbf2b927e74e8e2ae875d6c3931aa7042f75d7a0858bfe20652965a57","schema_version":"1.0","event_id":"sha256:39cc73dcbf2b927e74e8e2ae875d6c3931aa7042f75d7a0858bfe20652965a57"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:LSYIOFSTXFHIWWY5LN4OE4PMTY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Target-Distribution-Guided Cross-Functional Fine-Tuning of Machine-Learning Interatomic Potentials","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.comp-ph"],"primary_cat":"cond-mat.mtrl-sci","authors_text":"Bo Thomsen, Motoyuki Shiga, Yuki Nagai","submitted_at":"2026-05-24T12:18:50Z","abstract_excerpt":"Cross-functional fine-tuning of machine-learning interatomic potentials (MLIPs) is often treated as a relabeling problem, where configurations generated at one density-functional level are relabeled using a higher-fidelity target functional. However, the resulting training data may be drawn from the wrong equilibrium distribution, because the statistical weights of configurations change across exchange--correlation functionals. Here we address this distribution mismatch using a target-distribution-guided workflow based on self-learning hybrid Monte Carlo (SLHMC), in which trial configurations "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.25032","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/2605.25032/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":"2026-05-26T01:04:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rS6+R25DLFa5WJ5UPpTwaShVxEtVHZmO/yrghSx+pPFzMPpuGLomL2HYKs1C+WLUDDkYdxuy66w0vrsUetv9CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-25T15:21:56.482280Z"},"content_sha256":"f9dbfa8fd08d58ef37b1e2e07c9344b91b93adca1542cfafcd017acdaeac8fde","schema_version":"1.0","event_id":"sha256:f9dbfa8fd08d58ef37b1e2e07c9344b91b93adca1542cfafcd017acdaeac8fde"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LSYIOFSTXFHIWWY5LN4OE4PMTY/bundle.json","state_url":"https://pith.science/pith/LSYIOFSTXFHIWWY5LN4OE4PMTY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LSYIOFSTXFHIWWY5LN4OE4PMTY/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":"2026-06-25T15:21:56Z","links":{"resolver":"https://pith.science/pith/LSYIOFSTXFHIWWY5LN4OE4PMTY","bundle":"https://pith.science/pith/LSYIOFSTXFHIWWY5LN4OE4PMTY/bundle.json","state":"https://pith.science/pith/LSYIOFSTXFHIWWY5LN4OE4PMTY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LSYIOFSTXFHIWWY5LN4OE4PMTY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:LSYIOFSTXFHIWWY5LN4OE4PMTY","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":"54277a6c55f1141eba1e94b64b7e3d5865e446a1bdd9690191f632005bdbe939","cross_cats_sorted":["physics.comp-ph"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2026-05-24T12:18:50Z","title_canon_sha256":"ac929ce75f6b6bd0e7b2f1769e510a0ea984ad97fa4682cad5dfa1229dae258d"},"schema_version":"1.0","source":{"id":"2605.25032","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.25032","created_at":"2026-05-26T01:04:11Z"},{"alias_kind":"arxiv_version","alias_value":"2605.25032v1","created_at":"2026-05-26T01:04:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.25032","created_at":"2026-05-26T01:04:11Z"},{"alias_kind":"pith_short_12","alias_value":"LSYIOFSTXFHI","created_at":"2026-05-26T01:04:11Z"},{"alias_kind":"pith_short_16","alias_value":"LSYIOFSTXFHIWWY5","created_at":"2026-05-26T01:04:11Z"},{"alias_kind":"pith_short_8","alias_value":"LSYIOFST","created_at":"2026-05-26T01:04:11Z"}],"graph_snapshots":[{"event_id":"sha256:f9dbfa8fd08d58ef37b1e2e07c9344b91b93adca1542cfafcd017acdaeac8fde","target":"graph","created_at":"2026-05-26T01:04:11Z","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/2605.25032/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Cross-functional fine-tuning of machine-learning interatomic potentials (MLIPs) is often treated as a relabeling problem, where configurations generated at one density-functional level are relabeled using a higher-fidelity target functional. However, the resulting training data may be drawn from the wrong equilibrium distribution, because the statistical weights of configurations change across exchange--correlation functionals. Here we address this distribution mismatch using a target-distribution-guided workflow based on self-learning hybrid Monte Carlo (SLHMC), in which trial configurations ","authors_text":"Bo Thomsen, Motoyuki Shiga, Yuki Nagai","cross_cats":["physics.comp-ph"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2026-05-24T12:18:50Z","title":"Target-Distribution-Guided Cross-Functional Fine-Tuning of Machine-Learning Interatomic Potentials"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.25032","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":"sha256:39cc73dcbf2b927e74e8e2ae875d6c3931aa7042f75d7a0858bfe20652965a57","target":"record","created_at":"2026-05-26T01:04:11Z","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":"54277a6c55f1141eba1e94b64b7e3d5865e446a1bdd9690191f632005bdbe939","cross_cats_sorted":["physics.comp-ph"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2026-05-24T12:18:50Z","title_canon_sha256":"ac929ce75f6b6bd0e7b2f1769e510a0ea984ad97fa4682cad5dfa1229dae258d"},"schema_version":"1.0","source":{"id":"2605.25032","kind":"arxiv","version":1}},"canonical_sha256":"5cb0871653b94e8b5b1d5b78e271ec9e3ec5025296cc3d6b53a9b82d0fdde143","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5cb0871653b94e8b5b1d5b78e271ec9e3ec5025296cc3d6b53a9b82d0fdde143","first_computed_at":"2026-05-26T01:04:11.286073Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-26T01:04:11.286073Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8IwZRMVF1+1xGhx98E3KYkyhxG8CZqullFEP8zp4QIG5rHln3Gg0fCwsYFCgywIn20OpVLtjPcvfc8DJwtSPAA==","signature_status":"signed_v1","signed_at":"2026-05-26T01:04:11.286611Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.25032","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:39cc73dcbf2b927e74e8e2ae875d6c3931aa7042f75d7a0858bfe20652965a57","sha256:f9dbfa8fd08d58ef37b1e2e07c9344b91b93adca1542cfafcd017acdaeac8fde"],"state_sha256":"e23a5bcf2c06e9d7806333be641c5bf9cd8f8975c8adefbfab82954c6ba4504d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hP45UqSU0lN4hIaAq05642K3eYCe0WcemMxYrPf5OfZNHAJZ3ts8thXpz3WeRUlXDcLIfNpEcRT/mCwRhZ4cDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-25T15:21:56.484368Z","bundle_sha256":"13c30ef51c4b7f67720f55a35dc930877a05c26f9e4fe7908cbee47475d15e0c"}}