{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:O2C33IGJML7TSMCCDSBXB3J626","short_pith_number":"pith:O2C33IGJ","schema_version":"1.0","canonical_sha256":"7685bda0c962ff3930421c8370ed3ed7867c765f0501cf00d5233aa5eb37829b","source":{"kind":"arxiv","id":"2508.15089","version":1},"attestation_state":"computed","paper":{"title":"Tighter Privacy Analysis for Truncated Poisson Sampling","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CR","authors_text":"Arun Ganesh","submitted_at":"2025-08-20T22:00:23Z","abstract_excerpt":"We give a new privacy amplification analysis for truncated Poisson sampling, a Poisson sampling variant that truncates a batch if it exceeds a given maximum batch size."},"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":"2508.15089","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2025-08-20T22:00:23Z","cross_cats_sorted":[],"title_canon_sha256":"f7ee9091e8f855ae262a031804cc864a3cc86dedb555a1c9e10d28eb6d59ee30","abstract_canon_sha256":"704ab122a756ec868e44f4de2d035a88f186b33b88eb4bf7ceab95209fc989cd"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:57:06.307289Z","signature_b64":"HJEbjRJq1OYFm67NW3JkXG2Cs9pPVLO4O+fgHzRRZIqreHoS6dCcAR1+UudQG4/ta/7bam2F7Yf8l7P6/JZsBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7685bda0c962ff3930421c8370ed3ed7867c765f0501cf00d5233aa5eb37829b","last_reissued_at":"2026-07-05T11:57:06.306900Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:57:06.306900Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Tighter Privacy Analysis for Truncated Poisson Sampling","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CR","authors_text":"Arun Ganesh","submitted_at":"2025-08-20T22:00:23Z","abstract_excerpt":"We give a new privacy amplification analysis for truncated Poisson sampling, a Poisson sampling variant that truncates a batch if it exceeds a given maximum batch size."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.15089","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/2508.15089/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":"2508.15089","created_at":"2026-07-05T11:57:06.306955+00:00"},{"alias_kind":"arxiv_version","alias_value":"2508.15089v1","created_at":"2026-07-05T11:57:06.306955+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.15089","created_at":"2026-07-05T11:57:06.306955+00:00"},{"alias_kind":"pith_short_12","alias_value":"O2C33IGJML7T","created_at":"2026-07-05T11:57:06.306955+00:00"},{"alias_kind":"pith_short_16","alias_value":"O2C33IGJML7TSMCC","created_at":"2026-07-05T11:57:06.306955+00:00"},{"alias_kind":"pith_short_8","alias_value":"O2C33IGJ","created_at":"2026-07-05T11:57:06.306955+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":2,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2606.01849","citing_title":"ContinuousBench: Can Differentially Private Synthetic Text Improve Capabilities?","ref_index":63,"is_internal_anchor":false},{"citing_arxiv_id":"2605.07072","citing_title":"Less Random, More Private: What is the Optimal Subsampling Scheme for DP-SGD?","ref_index":14,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/O2C33IGJML7TSMCCDSBXB3J626","json":"https://pith.science/pith/O2C33IGJML7TSMCCDSBXB3J626.json","graph_json":"https://pith.science/api/pith-number/O2C33IGJML7TSMCCDSBXB3J626/graph.json","events_json":"https://pith.science/api/pith-number/O2C33IGJML7TSMCCDSBXB3J626/events.json","paper":"https://pith.science/paper/O2C33IGJ"},"agent_actions":{"view_html":"https://pith.science/pith/O2C33IGJML7TSMCCDSBXB3J626","download_json":"https://pith.science/pith/O2C33IGJML7TSMCCDSBXB3J626.json","view_paper":"https://pith.science/paper/O2C33IGJ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2508.15089&json=true","fetch_graph":"https://pith.science/api/pith-number/O2C33IGJML7TSMCCDSBXB3J626/graph.json","fetch_events":"https://pith.science/api/pith-number/O2C33IGJML7TSMCCDSBXB3J626/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/O2C33IGJML7TSMCCDSBXB3J626/action/timestamp_anchor","attest_storage":"https://pith.science/pith/O2C33IGJML7TSMCCDSBXB3J626/action/storage_attestation","attest_author":"https://pith.science/pith/O2C33IGJML7TSMCCDSBXB3J626/action/author_attestation","sign_citation":"https://pith.science/pith/O2C33IGJML7TSMCCDSBXB3J626/action/citation_signature","submit_replication":"https://pith.science/pith/O2C33IGJML7TSMCCDSBXB3J626/action/replication_record"}},"created_at":"2026-07-05T11:57:06.306955+00:00","updated_at":"2026-07-05T11:57:06.306955+00:00"}