{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:2OAPFQASMZOJNJ7WBYDZ2FV7VJ","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":"dfc9f539c306cc036cc6fb8536980250fcc6dc4d786442484b7c4a8a0308d5e7","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.BM","submitted_at":"2025-07-09T18:19:50Z","title_canon_sha256":"b91d9ca27cb05d51b4b1b1726c243a678b32f1d2e4fa9ea19d92ebf5662b93fb"},"schema_version":"1.0","source":{"id":"2507.07201","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.07201","created_at":"2026-07-05T11:34:32Z"},{"alias_kind":"arxiv_version","alias_value":"2507.07201v1","created_at":"2026-07-05T11:34:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.07201","created_at":"2026-07-05T11:34:32Z"},{"alias_kind":"pith_short_12","alias_value":"2OAPFQASMZOJ","created_at":"2026-07-05T11:34:32Z"},{"alias_kind":"pith_short_16","alias_value":"2OAPFQASMZOJNJ7W","created_at":"2026-07-05T11:34:32Z"},{"alias_kind":"pith_short_8","alias_value":"2OAPFQAS","created_at":"2026-07-05T11:34:32Z"}],"graph_snapshots":[{"event_id":"sha256:017e0bc57d395459cbb89ccc1905c614b3374ce61932240f0d19a79898c1b095","target":"graph","created_at":"2026-07-05T11:34:32Z","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/2507.07201/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Three-dimensional molecular generators based on diffusion models can now reach near-crystallographic accuracy, yet they remain fragmented across tasks. SMILES-only inputs, two-stage pretrain-finetune pipelines, and one-task-one-model practices hinder stereochemical fidelity, task alignment, and zero-shot transfer. We introduce MODA, a diffusion framework that unifies fragment growing, linker design, scaffold hopping, and side-chain decoration with a Bayesian mask scheduler. During training, a contiguous spatial fragment is masked and then denoised in one pass, enabling the model to learn share","authors_text":"Dong Xu, Jenna Xinyi Yao, Jiangqiang Li, Junkai Ji, Sisi Yuan, Zhangfan Yang","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.BM","submitted_at":"2025-07-09T18:19:50Z","title":"MODA: A Unified 3D Diffusion Framework for Multi-Task Target-Aware Molecular Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.07201","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":"sha256:57c098b1d29ef60ad62bbf7db05611227d790d96601d7be7fedb2b0c49fbe6e0","target":"record","created_at":"2026-07-05T11:34:32Z","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":"dfc9f539c306cc036cc6fb8536980250fcc6dc4d786442484b7c4a8a0308d5e7","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.BM","submitted_at":"2025-07-09T18:19:50Z","title_canon_sha256":"b91d9ca27cb05d51b4b1b1726c243a678b32f1d2e4fa9ea19d92ebf5662b93fb"},"schema_version":"1.0","source":{"id":"2507.07201","kind":"arxiv","version":1}},"canonical_sha256":"d380f2c012665c96a7f60e079d16bfaa4d43ed0c8935c95239f46589ac128064","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d380f2c012665c96a7f60e079d16bfaa4d43ed0c8935c95239f46589ac128064","first_computed_at":"2026-07-05T11:34:32.582123Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:34:32.582123Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"k9jMo6Jdk/xPeaFdlLZtCVqpgRlQXNhQ/0c5zZbCiceNRuq8bz7eODPIpFz4O2qtng6GXB9WzY+TeysE/b51Ag==","signature_status":"signed_v1","signed_at":"2026-07-05T11:34:32.582613Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.07201","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:57c098b1d29ef60ad62bbf7db05611227d790d96601d7be7fedb2b0c49fbe6e0","sha256:017e0bc57d395459cbb89ccc1905c614b3374ce61932240f0d19a79898c1b095"],"state_sha256":"dd466f48f792c671a3606a788c01e93af9a78580b1076f0d91ab473842ac2fd4"}