{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:XMJORKSM4DZAPP7Y6JBW47TICK","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":"8041991a53206a9881bfd9b12c1d991078db32549d5e1fa3d7268349fb72461b","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-01T07:46:28Z","title_canon_sha256":"335230b98300145939ef37ca648923d64c405e0d0ca9d0bca38e27f907aa0a42"},"schema_version":"1.0","source":{"id":"2606.01833","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.01833","created_at":"2026-06-02T02:04:58Z"},{"alias_kind":"arxiv_version","alias_value":"2606.01833v1","created_at":"2026-06-02T02:04:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.01833","created_at":"2026-06-02T02:04:58Z"},{"alias_kind":"pith_short_12","alias_value":"XMJORKSM4DZA","created_at":"2026-06-02T02:04:58Z"},{"alias_kind":"pith_short_16","alias_value":"XMJORKSM4DZAPP7Y","created_at":"2026-06-02T02:04:58Z"},{"alias_kind":"pith_short_8","alias_value":"XMJORKSM","created_at":"2026-06-02T02:04:58Z"}],"graph_snapshots":[{"event_id":"sha256:950d5c3af88d3eb29b6c0cff3f1b41072535c3db11a068088a8414eceb98a0f2","target":"graph","created_at":"2026-06-02T02:04:58Z","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/2606.01833/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Generative emulators of protein dynamics produce plausible trajectories at a fraction of the cost of molecular dynamics, but they inherit their training distribution and tend to revisit known states rather than reach rare ones under long-horizon extrapolation. Inspired by classical enhanced sampling, we introduce an implicit, history-dependent bias in the generative space of a pretrained emulator. Specifically, a history-aware score estimator augments the frozen emulator with a distance-weighted bias that steers reverse-time sampling away from previously generated structures, regularized by an","authors_text":"Kaihui Cheng, Siyu Zhu, Tzuhsiung Yang, Wenkai Xiang, Yuan Qi, Zhihang Hu, Zhiqiang Cai","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-01T07:46:28Z","title":"Learning Implicit Bias in Generative Spaces for Accelerating Protein Dynamics Emulation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.01833","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":"sha256:6b298e0790322b66c58a57e46ff6f9e50d081f2c8ad26049d7adc65d26b42434","target":"record","created_at":"2026-06-02T02:04:58Z","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":"8041991a53206a9881bfd9b12c1d991078db32549d5e1fa3d7268349fb72461b","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-01T07:46:28Z","title_canon_sha256":"335230b98300145939ef37ca648923d64c405e0d0ca9d0bca38e27f907aa0a42"},"schema_version":"1.0","source":{"id":"2606.01833","kind":"arxiv","version":1}},"canonical_sha256":"bb12e8aa4ce0f207bff8f2436e7e6812bb22128cd8af0abed27773269b159946","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bb12e8aa4ce0f207bff8f2436e7e6812bb22128cd8af0abed27773269b159946","first_computed_at":"2026-06-02T02:04:58.063901Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-02T02:04:58.063901Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"GvF/pGWO1FZ/NDiwKl3exZOKhEyEVBUJ5RGDG3GFoG2Aq97HNY9WSm/O3YMLZZy9NdR53eLdkZqQt3bj0MPFCw==","signature_status":"signed_v1","signed_at":"2026-06-02T02:04:58.064237Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.01833","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6b298e0790322b66c58a57e46ff6f9e50d081f2c8ad26049d7adc65d26b42434","sha256:950d5c3af88d3eb29b6c0cff3f1b41072535c3db11a068088a8414eceb98a0f2"],"state_sha256":"88e57fe3fb1e3d4defc653cc2c668ed81a912ce7250ab8e90ba3895136e427bd"}