{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:DWPP7VBKLVMSVYTDDUYHQYSLPS","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":"96b6a900b4f487865c3b78d7ed118513d9fc82a929b467f3ce6a7f6f96d513a7","cross_cats_sorted":["cs.CE","q-bio.QM"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-29T03:34:12Z","title_canon_sha256":"84b3f9d871a616b21982734902913a459544f056ea02ad38afe58ffb80795a45"},"schema_version":"1.0","source":{"id":"2607.16263","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.16263","created_at":"2026-07-21T00:20:09Z"},{"alias_kind":"arxiv_version","alias_value":"2607.16263v1","created_at":"2026-07-21T00:20:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.16263","created_at":"2026-07-21T00:20:09Z"},{"alias_kind":"pith_short_12","alias_value":"DWPP7VBKLVMS","created_at":"2026-07-21T00:20:09Z"},{"alias_kind":"pith_short_16","alias_value":"DWPP7VBKLVMSVYTD","created_at":"2026-07-21T00:20:09Z"},{"alias_kind":"pith_short_8","alias_value":"DWPP7VBK","created_at":"2026-07-21T00:20:09Z"}],"graph_snapshots":[{"event_id":"sha256:bcaea9a2b5b00432caf6b3b64910be88144ea0818a30e69c1a4adb1960c30edc","target":"graph","created_at":"2026-07-21T00:20:09Z","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/2607.16263/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Antibody expression ranking is a critical task in antibody design, yet its modelling is severely hindered by the scarcity of labeled experimental data. To address this, we propose a unified preference-based learning framework that integrates scarce quantitative expression data with large-scale weak positive supervision from immunization data. We adapt Direct Preference Optimization (DPO) to protein language models by introducing a union-masked log-likelihood approximation and IMGT-based alignment, enabling efficient training on variable-length sequences. Evaluating on a diverse internal datase","authors_text":"David Young, Josh Qixuan Sun, Mark Crowley, Morteza Babaie, Wenyang Hou","cross_cats":["cs.CE","q-bio.QM"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-29T03:34:12Z","title":"Preference-based Antibody Expression Ranking: Scaling with Large-scale Weak Supervision"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.16263","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":"sha256:5c66706688a07631b9ec0249479c8b2bee33db4128c06e898e12cee9ba42ad4c","target":"record","created_at":"2026-07-21T00:20:09Z","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":"96b6a900b4f487865c3b78d7ed118513d9fc82a929b467f3ce6a7f6f96d513a7","cross_cats_sorted":["cs.CE","q-bio.QM"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-29T03:34:12Z","title_canon_sha256":"84b3f9d871a616b21982734902913a459544f056ea02ad38afe58ffb80795a45"},"schema_version":"1.0","source":{"id":"2607.16263","kind":"arxiv","version":1}},"canonical_sha256":"1d9effd42a5d592ae2631d3078624b7cb47c9ca349034678036154be59a4be4e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1d9effd42a5d592ae2631d3078624b7cb47c9ca349034678036154be59a4be4e","first_computed_at":"2026-07-21T00:20:09.080787Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-21T00:20:09.080787Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PnJlYNgH6wXu46EZwnWJ6rbr1z8KZl+5TAMqzyGn1sFP9M+e4/HTveXyJgoa7p2Vfe5+HBa2IC3htEdYx5J8Bg==","signature_status":"signed_v1","signed_at":"2026-07-21T00:20:09.082196Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.16263","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5c66706688a07631b9ec0249479c8b2bee33db4128c06e898e12cee9ba42ad4c","sha256:bcaea9a2b5b00432caf6b3b64910be88144ea0818a30e69c1a4adb1960c30edc"],"state_sha256":"7051a27ce59a216542f9d1042468a800254e5516d2ae78c0f5d9457364b5f6ef"}