{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:35EVBZPFGVY56T63MRRU4IWJZO","short_pith_number":"pith:35EVBZPF","canonical_record":{"source":{"id":"2606.12733","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-10T22:44:47Z","cross_cats_sorted":[],"title_canon_sha256":"306718beabe7faf8f0e86eadad84300a3a97402f7c4bb169f3bcf30aa668d9a9","abstract_canon_sha256":"5602de6ea857c924c78dd6227ba5d073d4ac8403244e03781e45dc40b24437ac"},"schema_version":"1.0"},"canonical_sha256":"df4950e5e53571df4fdb64634e22c9cbbc07d7731dde9ecc1e8ac07f7d1fbe11","source":{"kind":"arxiv","id":"2606.12733","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.12733","created_at":"2026-06-12T01:08:48Z"},{"alias_kind":"arxiv_version","alias_value":"2606.12733v1","created_at":"2026-06-12T01:08:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.12733","created_at":"2026-06-12T01:08:48Z"},{"alias_kind":"pith_short_12","alias_value":"35EVBZPFGVY5","created_at":"2026-06-12T01:08:48Z"},{"alias_kind":"pith_short_16","alias_value":"35EVBZPFGVY56T63","created_at":"2026-06-12T01:08:48Z"},{"alias_kind":"pith_short_8","alias_value":"35EVBZPF","created_at":"2026-06-12T01:08:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:35EVBZPFGVY56T63MRRU4IWJZO","target":"record","payload":{"canonical_record":{"source":{"id":"2606.12733","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-10T22:44:47Z","cross_cats_sorted":[],"title_canon_sha256":"306718beabe7faf8f0e86eadad84300a3a97402f7c4bb169f3bcf30aa668d9a9","abstract_canon_sha256":"5602de6ea857c924c78dd6227ba5d073d4ac8403244e03781e45dc40b24437ac"},"schema_version":"1.0"},"canonical_sha256":"df4950e5e53571df4fdb64634e22c9cbbc07d7731dde9ecc1e8ac07f7d1fbe11","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-12T01:08:48.002051Z","signature_b64":"guLhZxl2r0tPryCul85j8CipZMp2H57VUqTYrQ+eNQZQbSqXJXdTgaBPRerRTS7JQEY5urhvzFyzQwHYoQAoDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"df4950e5e53571df4fdb64634e22c9cbbc07d7731dde9ecc1e8ac07f7d1fbe11","last_reissued_at":"2026-06-12T01:08:48.001547Z","signature_status":"signed_v1","first_computed_at":"2026-06-12T01:08:48.001547Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.12733","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-06-12T01:08:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"25XRN91tbwHBnWZpeokKcfwNMNQcnOtt2PbKHdDz1sEUZZ7IszWLisizSbOHDrMrJNyjGJn7namz7GI1ZY26Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-29T14:11:21.058103Z"},"content_sha256":"198271c4fd2c63ac401704734a1011ce76f2a7df81c71d1eed89e04b512f65e1","schema_version":"1.0","event_id":"sha256:198271c4fd2c63ac401704734a1011ce76f2a7df81c71d1eed89e04b512f65e1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:35EVBZPFGVY56T63MRRU4IWJZO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Let's Ask Gauss: Improved One-Run Privacy Auditing","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Adya Agrawal, Jaspal Singh, Malik Magdon-Ismail, Vassilis Zikas, Yu Wei","submitted_at":"2026-06-10T22:44:47Z","abstract_excerpt":"Privacy auditing provides an important safeguard by estimating the actual information leaked by a model, thus ensuring that theoretical privacy guarantees hold in practice. We study empirical privacy auditing for differentially private (DP) machine learning, focusing on efficient one-run methods for mechanisms such as DP-SGD. Prior one-run approaches threshold training examples or \"canaries\" into binary membership guesses, which discards useful information. We show that, in the white-box DP-SGD setting, canary-aligned signals naturally form a sequence of random variables whose normalized sum i"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.12733","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/2606.12733/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-06-12T01:08:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OfdAsD+ye6HrAGHzxCtMXFMjv1wkQIg2rIAZdgGkeGS+pXPUt/l4OwdXzDwmWawaUA9kYf8GBBfE3Kev5Ug+BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-29T14:11:21.058491Z"},"content_sha256":"ea202a7cca7f95e7b666c418ad6caf3375aa02c010f90c4b3f58827099bef355","schema_version":"1.0","event_id":"sha256:ea202a7cca7f95e7b666c418ad6caf3375aa02c010f90c4b3f58827099bef355"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/35EVBZPFGVY56T63MRRU4IWJZO/bundle.json","state_url":"https://pith.science/pith/35EVBZPFGVY56T63MRRU4IWJZO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/35EVBZPFGVY56T63MRRU4IWJZO/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-29T14:11:21Z","links":{"resolver":"https://pith.science/pith/35EVBZPFGVY56T63MRRU4IWJZO","bundle":"https://pith.science/pith/35EVBZPFGVY56T63MRRU4IWJZO/bundle.json","state":"https://pith.science/pith/35EVBZPFGVY56T63MRRU4IWJZO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/35EVBZPFGVY56T63MRRU4IWJZO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:35EVBZPFGVY56T63MRRU4IWJZO","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":"5602de6ea857c924c78dd6227ba5d073d4ac8403244e03781e45dc40b24437ac","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-10T22:44:47Z","title_canon_sha256":"306718beabe7faf8f0e86eadad84300a3a97402f7c4bb169f3bcf30aa668d9a9"},"schema_version":"1.0","source":{"id":"2606.12733","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.12733","created_at":"2026-06-12T01:08:48Z"},{"alias_kind":"arxiv_version","alias_value":"2606.12733v1","created_at":"2026-06-12T01:08:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.12733","created_at":"2026-06-12T01:08:48Z"},{"alias_kind":"pith_short_12","alias_value":"35EVBZPFGVY5","created_at":"2026-06-12T01:08:48Z"},{"alias_kind":"pith_short_16","alias_value":"35EVBZPFGVY56T63","created_at":"2026-06-12T01:08:48Z"},{"alias_kind":"pith_short_8","alias_value":"35EVBZPF","created_at":"2026-06-12T01:08:48Z"}],"graph_snapshots":[{"event_id":"sha256:ea202a7cca7f95e7b666c418ad6caf3375aa02c010f90c4b3f58827099bef355","target":"graph","created_at":"2026-06-12T01:08:48Z","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/2606.12733/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Privacy auditing provides an important safeguard by estimating the actual information leaked by a model, thus ensuring that theoretical privacy guarantees hold in practice. We study empirical privacy auditing for differentially private (DP) machine learning, focusing on efficient one-run methods for mechanisms such as DP-SGD. Prior one-run approaches threshold training examples or \"canaries\" into binary membership guesses, which discards useful information. We show that, in the white-box DP-SGD setting, canary-aligned signals naturally form a sequence of random variables whose normalized sum i","authors_text":"Adya Agrawal, Jaspal Singh, Malik Magdon-Ismail, Vassilis Zikas, Yu Wei","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-10T22:44:47Z","title":"Let's Ask Gauss: Improved One-Run Privacy Auditing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.12733","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":"sha256:198271c4fd2c63ac401704734a1011ce76f2a7df81c71d1eed89e04b512f65e1","target":"record","created_at":"2026-06-12T01:08:48Z","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":"5602de6ea857c924c78dd6227ba5d073d4ac8403244e03781e45dc40b24437ac","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-10T22:44:47Z","title_canon_sha256":"306718beabe7faf8f0e86eadad84300a3a97402f7c4bb169f3bcf30aa668d9a9"},"schema_version":"1.0","source":{"id":"2606.12733","kind":"arxiv","version":1}},"canonical_sha256":"df4950e5e53571df4fdb64634e22c9cbbc07d7731dde9ecc1e8ac07f7d1fbe11","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"df4950e5e53571df4fdb64634e22c9cbbc07d7731dde9ecc1e8ac07f7d1fbe11","first_computed_at":"2026-06-12T01:08:48.001547Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-12T01:08:48.001547Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"guLhZxl2r0tPryCul85j8CipZMp2H57VUqTYrQ+eNQZQbSqXJXdTgaBPRerRTS7JQEY5urhvzFyzQwHYoQAoDA==","signature_status":"signed_v1","signed_at":"2026-06-12T01:08:48.002051Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.12733","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:198271c4fd2c63ac401704734a1011ce76f2a7df81c71d1eed89e04b512f65e1","sha256:ea202a7cca7f95e7b666c418ad6caf3375aa02c010f90c4b3f58827099bef355"],"state_sha256":"1f844ba78b65a0f26d985cdcca065b64e0449edd205a558014c2a89d5307d020"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gvmR0SHANJZhQ1WUzSg84XHYOCCHEKDTxYg7dQcRiBWt119ULq9FMQwDNf3Qg6FORQPgkZyB3XiqrfKdMSbwCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-29T14:11:21.060439Z","bundle_sha256":"ae61b40d0cc9f7f803117ece7583e7b52a0d4328e3b1759cbc38b8a0e8e9fc87"}}