{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:3Q4LIJX6LZTTGM6WA7WCJYKXGC","short_pith_number":"pith:3Q4LIJX6","schema_version":"1.0","canonical_sha256":"dc38b426fe5e673333d607ec24e15730a4781366bbe1df1f98d21b4a3445f460","source":{"kind":"arxiv","id":"2607.29100","version":1},"attestation_state":"computed","paper":{"title":"StraightDP: Geometry-Aware Differential Privacy for Rectified-Flow Transformers","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CR","cs.CV"],"primary_cat":"cs.LG","authors_text":"Depeng Xu, Xintao Wu, Xujun Che","submitted_at":"2026-07-31T07:27:52Z","abstract_excerpt":"Differentially private (DP) training of text-conditioned generative models suffers a utility cliff at strong privacy. We revisit this problem through the geometry of rectified flows: along the straight interpolation between noise and data, the Bayes-optimal velocity is governed to leading order at the noise end by a few class-conditional moments, and increasingly sample-specific structure matters toward the data end. StraightDP exploits this heterogeneity end to end. A small budget share releases whitened class-conditional moments once, to be distilled into the weights or injected at sampling "},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2607.29100","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-07-31T07:27:52Z","cross_cats_sorted":["cs.CR","cs.CV"],"title_canon_sha256":"0c9d2142e4b51b67203ae7faafce32c729fe200d0e70f6c3781b76737d497ea3","abstract_canon_sha256":"51125d5321a9e1e63cca3cc0033d715e7f0e6373f1c66e64a83d573bd16e36c4"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-03T01:19:07.310875Z","signature_b64":"xxbDdSzHlwoP38V2lzB+lB+v7DB7hLimQ+EEAY4QayQ75C7pZQYNwTAdZfv68l/yCJc/T5DRzamNGuCR5Gl9BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"dc38b426fe5e673333d607ec24e15730a4781366bbe1df1f98d21b4a3445f460","last_reissued_at":"2026-08-03T01:19:07.309251Z","signature_status":"signed_v1","first_computed_at":"2026-08-03T01:19:07.309251Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"StraightDP: Geometry-Aware Differential Privacy for Rectified-Flow Transformers","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CR","cs.CV"],"primary_cat":"cs.LG","authors_text":"Depeng Xu, Xintao Wu, Xujun Che","submitted_at":"2026-07-31T07:27:52Z","abstract_excerpt":"Differentially private (DP) training of text-conditioned generative models suffers a utility cliff at strong privacy. We revisit this problem through the geometry of rectified flows: along the straight interpolation between noise and data, the Bayes-optimal velocity is governed to leading order at the noise end by a few class-conditional moments, and increasingly sample-specific structure matters toward the data end. StraightDP exploits this heterogeneity end to end. A small budget share releases whitened class-conditional moments once, to be distilled into the weights or injected at sampling "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.29100","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/2607.29100/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2607.29100","created_at":"2026-08-03T01:19:07.310208+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.29100v1","created_at":"2026-08-03T01:19:07.310208+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.29100","created_at":"2026-08-03T01:19:07.310208+00:00"},{"alias_kind":"pith_short_12","alias_value":"3Q4LIJX6LZTT","created_at":"2026-08-03T01:19:07.310208+00:00"},{"alias_kind":"pith_short_16","alias_value":"3Q4LIJX6LZTTGM6W","created_at":"2026-08-03T01:19:07.310208+00:00"},{"alias_kind":"pith_short_8","alias_value":"3Q4LIJX6","created_at":"2026-08-03T01:19:07.310208+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/3Q4LIJX6LZTTGM6WA7WCJYKXGC","json":"https://pith.science/pith/3Q4LIJX6LZTTGM6WA7WCJYKXGC.json","graph_json":"https://pith.science/api/pith-number/3Q4LIJX6LZTTGM6WA7WCJYKXGC/graph.json","events_json":"https://pith.science/api/pith-number/3Q4LIJX6LZTTGM6WA7WCJYKXGC/events.json","paper":"https://pith.science/paper/3Q4LIJX6"},"agent_actions":{"view_html":"https://pith.science/pith/3Q4LIJX6LZTTGM6WA7WCJYKXGC","download_json":"https://pith.science/pith/3Q4LIJX6LZTTGM6WA7WCJYKXGC.json","view_paper":"https://pith.science/paper/3Q4LIJX6","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.29100&json=true","fetch_graph":"https://pith.science/api/pith-number/3Q4LIJX6LZTTGM6WA7WCJYKXGC/graph.json","fetch_events":"https://pith.science/api/pith-number/3Q4LIJX6LZTTGM6WA7WCJYKXGC/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/3Q4LIJX6LZTTGM6WA7WCJYKXGC/action/timestamp_anchor","attest_storage":"https://pith.science/pith/3Q4LIJX6LZTTGM6WA7WCJYKXGC/action/storage_attestation","attest_author":"https://pith.science/pith/3Q4LIJX6LZTTGM6WA7WCJYKXGC/action/author_attestation","sign_citation":"https://pith.science/pith/3Q4LIJX6LZTTGM6WA7WCJYKXGC/action/citation_signature","submit_replication":"https://pith.science/pith/3Q4LIJX6LZTTGM6WA7WCJYKXGC/action/replication_record"}},"created_at":"2026-08-03T01:19:07.310208+00:00","updated_at":"2026-08-03T01:19:07.310208+00:00"}