{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:3QMVPV4OPUV7EOB7AUM32FFAN4","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":"3b6911c2b4deb195a7e02b8407618c85a2e674021d1fed221e4144696891238e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CE","submitted_at":"2026-05-22T09:17:11Z","title_canon_sha256":"dac8eafc9ab9997aa774cbc2002301a95d29c57d6ca529722bd027d117f4936d"},"schema_version":"1.0","source":{"id":"2605.23407","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.23407","created_at":"2026-05-25T02:01:53Z"},{"alias_kind":"arxiv_version","alias_value":"2605.23407v1","created_at":"2026-05-25T02:01:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.23407","created_at":"2026-05-25T02:01:53Z"},{"alias_kind":"pith_short_12","alias_value":"3QMVPV4OPUV7","created_at":"2026-05-25T02:01:53Z"},{"alias_kind":"pith_short_16","alias_value":"3QMVPV4OPUV7EOB7","created_at":"2026-05-25T02:01:53Z"},{"alias_kind":"pith_short_8","alias_value":"3QMVPV4O","created_at":"2026-05-25T02:01:53Z"}],"graph_snapshots":[{"event_id":"sha256:396d49ad53beda1d0b4d8b5bf48ae29ff9b368a7132b1630672ff16240767b36","target":"graph","created_at":"2026-05-25T02:01:53Z","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/2605.23407/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Cyclic peptides are attractive therapeutic modalities because their closed-ring topology can improve stability and target specificity. However, de novo cyclic peptide design remains challenging for diffusion generators, as macrocyclization requires satisfying sparse, non-smooth, and compositional geometric constraints. Existing constraint-conditioned methods largely rely on inference-time guidance, which can steer samples toward desired closures but does not directly change the learned generative distribution. We propose GeoCycler, a reward-weighted diffusion alignment framework for training c","authors_text":"Chang-Yu Hsieh, Chunbin Gu, Fang Wu, Hanqun Cao, Haosen Shi, He Mutian, Jingjie Zhang, Pheng-Ann Heng, Pranam Chatterjee, Sinno Jialin Pan, Xiaojun Yao, Yu Wang, Zijun Gao","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CE","submitted_at":"2026-05-22T09:17:11Z","title":"GeoCycler: Reward-Aligned 3D Diffusion for Constraint-Conditioned Cyclic Peptide Design"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.23407","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":"sha256:61646bf1e9b8485fdff7909389a1c95d9fe48b806187ca4aafc4a3d80d015267","target":"record","created_at":"2026-05-25T02:01:53Z","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":"3b6911c2b4deb195a7e02b8407618c85a2e674021d1fed221e4144696891238e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CE","submitted_at":"2026-05-22T09:17:11Z","title_canon_sha256":"dac8eafc9ab9997aa774cbc2002301a95d29c57d6ca529722bd027d117f4936d"},"schema_version":"1.0","source":{"id":"2605.23407","kind":"arxiv","version":1}},"canonical_sha256":"dc1957d78e7d2bf2383f0519bd14a06f33ef3fbc4ab8f033a7016a5a049ba0ec","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dc1957d78e7d2bf2383f0519bd14a06f33ef3fbc4ab8f033a7016a5a049ba0ec","first_computed_at":"2026-05-25T02:01:53.038265Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-25T02:01:53.038265Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"71mYBbfhrbvjJ15+8NVoFNj19lwhu+U5ysJKcVMjr8J7J/9AfwsaIyw4t4xR4gIsBXv0BDbpAXTpg5wcvv33Aw==","signature_status":"signed_v1","signed_at":"2026-05-25T02:01:53.038895Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.23407","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:61646bf1e9b8485fdff7909389a1c95d9fe48b806187ca4aafc4a3d80d015267","sha256:396d49ad53beda1d0b4d8b5bf48ae29ff9b368a7132b1630672ff16240767b36"],"state_sha256":"cbcd51cf5da11ac9ca7f9f469a2ab1ffd2da90ed8adfff7e60f60148428f163e"}