{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:IHEL6D3ONCQ4ZSAENDNGIA2QVN","short_pith_number":"pith:IHEL6D3O","canonical_record":{"source":{"id":"2407.06496","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-07-09T01:58:19Z","cross_cats_sorted":["cs.CR"],"title_canon_sha256":"c5382e7cfda41039de11246951b8bf70cc219d3a9e9f3429e89107d3088764c4","abstract_canon_sha256":"46c27e81289383bf4cc67d8e297376babfcc6b6a8bb7060e9cfb7baa4f5667f5"},"schema_version":"1.0"},"canonical_sha256":"41c8bf0f6e68a1ccc80468da640350ab7e9e581cf12c9f1842264bbb52b4a67b","source":{"kind":"arxiv","id":"2407.06496","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.06496","created_at":"2026-07-05T09:28:12Z"},{"alias_kind":"arxiv_version","alias_value":"2407.06496v3","created_at":"2026-07-05T09:28:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.06496","created_at":"2026-07-05T09:28:12Z"},{"alias_kind":"pith_short_12","alias_value":"IHEL6D3ONCQ4","created_at":"2026-07-05T09:28:12Z"},{"alias_kind":"pith_short_16","alias_value":"IHEL6D3ONCQ4ZSAE","created_at":"2026-07-05T09:28:12Z"},{"alias_kind":"pith_short_8","alias_value":"IHEL6D3O","created_at":"2026-07-05T09:28:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:IHEL6D3ONCQ4ZSAENDNGIA2QVN","target":"record","payload":{"canonical_record":{"source":{"id":"2407.06496","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-07-09T01:58:19Z","cross_cats_sorted":["cs.CR"],"title_canon_sha256":"c5382e7cfda41039de11246951b8bf70cc219d3a9e9f3429e89107d3088764c4","abstract_canon_sha256":"46c27e81289383bf4cc67d8e297376babfcc6b6a8bb7060e9cfb7baa4f5667f5"},"schema_version":"1.0"},"canonical_sha256":"41c8bf0f6e68a1ccc80468da640350ab7e9e581cf12c9f1842264bbb52b4a67b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:28:12.957488Z","signature_b64":"HoL4JPRdhyvOixI+gbypIpiO5hLurBU7lky5lYVfvt1DXgIdOQO+qe3FsgkZ3KJK/76bd1il4TmALoW0G7RWCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"41c8bf0f6e68a1ccc80468da640350ab7e9e581cf12c9f1842264bbb52b4a67b","last_reissued_at":"2026-07-05T09:28:12.957032Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:28:12.957032Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2407.06496","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:28:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qZiz9OFXxCQFhiFR+eza57vARs4V9xVcx1T2REOUdE+JTfnwRBFLBPUTxQtO3o11bp5hVJ61f1XJNrUVy3JHDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T06:17:45.376453Z"},"content_sha256":"5bf62a36fb8f9c2bf83c035328fe0ba89f1ab207b617e98f39768aeec26e9f3a","schema_version":"1.0","event_id":"sha256:5bf62a36fb8f9c2bf83c035328fe0ba89f1ab207b617e98f39768aeec26e9f3a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:IHEL6D3ONCQ4ZSAENDNGIA2QVN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"It's Our Loss: No Privacy Amplification for Hidden State DP-SGD With Non-Convex Loss","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CR"],"primary_cat":"cs.LG","authors_text":"Meenatchi Sundaram Muthu Selva Annamalai","submitted_at":"2024-07-09T01:58:19Z","abstract_excerpt":"Differentially Private Stochastic Gradient Descent (DP-SGD) is a popular iterative algorithm used to train machine learning models while formally guaranteeing the privacy of users. However, the privacy analysis of DP-SGD makes the unrealistic assumption that all intermediate iterates (aka internal state) of the algorithm are released since, in practice, only the final trained model, i.e., the final iterate of the algorithm is released. In this hidden state setting, prior work has provided tighter analyses, albeit only when the loss function is constrained, e.g., strongly convex and smooth or l"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.06496","kind":"arxiv","version":3},"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/2407.06496/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":"2026-07-05T09:28:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vrbeTl1XY8FzzH4bADj83btwH+GNOyNHIJMWYsnTp6cYpvSO1R2EqiVKSl9WeFxayvutaWPZ9TioIdMh33azBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T06:17:45.377044Z"},"content_sha256":"e6a8b0f8585e70b00cb002392d1a3cb0434982f91f6493c896281e902e8b1227","schema_version":"1.0","event_id":"sha256:e6a8b0f8585e70b00cb002392d1a3cb0434982f91f6493c896281e902e8b1227"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IHEL6D3ONCQ4ZSAENDNGIA2QVN/bundle.json","state_url":"https://pith.science/pith/IHEL6D3ONCQ4ZSAENDNGIA2QVN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IHEL6D3ONCQ4ZSAENDNGIA2QVN/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":"2026-08-15T06:17:45Z","links":{"resolver":"https://pith.science/pith/IHEL6D3ONCQ4ZSAENDNGIA2QVN","bundle":"https://pith.science/pith/IHEL6D3ONCQ4ZSAENDNGIA2QVN/bundle.json","state":"https://pith.science/pith/IHEL6D3ONCQ4ZSAENDNGIA2QVN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IHEL6D3ONCQ4ZSAENDNGIA2QVN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:IHEL6D3ONCQ4ZSAENDNGIA2QVN","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":"46c27e81289383bf4cc67d8e297376babfcc6b6a8bb7060e9cfb7baa4f5667f5","cross_cats_sorted":["cs.CR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-07-09T01:58:19Z","title_canon_sha256":"c5382e7cfda41039de11246951b8bf70cc219d3a9e9f3429e89107d3088764c4"},"schema_version":"1.0","source":{"id":"2407.06496","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.06496","created_at":"2026-07-05T09:28:12Z"},{"alias_kind":"arxiv_version","alias_value":"2407.06496v3","created_at":"2026-07-05T09:28:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.06496","created_at":"2026-07-05T09:28:12Z"},{"alias_kind":"pith_short_12","alias_value":"IHEL6D3ONCQ4","created_at":"2026-07-05T09:28:12Z"},{"alias_kind":"pith_short_16","alias_value":"IHEL6D3ONCQ4ZSAE","created_at":"2026-07-05T09:28:12Z"},{"alias_kind":"pith_short_8","alias_value":"IHEL6D3O","created_at":"2026-07-05T09:28:12Z"}],"graph_snapshots":[{"event_id":"sha256:e6a8b0f8585e70b00cb002392d1a3cb0434982f91f6493c896281e902e8b1227","target":"graph","created_at":"2026-07-05T09:28:12Z","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/2407.06496/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Differentially Private Stochastic Gradient Descent (DP-SGD) is a popular iterative algorithm used to train machine learning models while formally guaranteeing the privacy of users. However, the privacy analysis of DP-SGD makes the unrealistic assumption that all intermediate iterates (aka internal state) of the algorithm are released since, in practice, only the final trained model, i.e., the final iterate of the algorithm is released. In this hidden state setting, prior work has provided tighter analyses, albeit only when the loss function is constrained, e.g., strongly convex and smooth or l","authors_text":"Meenatchi Sundaram Muthu Selva Annamalai","cross_cats":["cs.CR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-07-09T01:58:19Z","title":"It's Our Loss: No Privacy Amplification for Hidden State DP-SGD With Non-Convex Loss"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.06496","kind":"arxiv","version":3},"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":"sha256:5bf62a36fb8f9c2bf83c035328fe0ba89f1ab207b617e98f39768aeec26e9f3a","target":"record","created_at":"2026-07-05T09:28:12Z","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":"46c27e81289383bf4cc67d8e297376babfcc6b6a8bb7060e9cfb7baa4f5667f5","cross_cats_sorted":["cs.CR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-07-09T01:58:19Z","title_canon_sha256":"c5382e7cfda41039de11246951b8bf70cc219d3a9e9f3429e89107d3088764c4"},"schema_version":"1.0","source":{"id":"2407.06496","kind":"arxiv","version":3}},"canonical_sha256":"41c8bf0f6e68a1ccc80468da640350ab7e9e581cf12c9f1842264bbb52b4a67b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"41c8bf0f6e68a1ccc80468da640350ab7e9e581cf12c9f1842264bbb52b4a67b","first_computed_at":"2026-07-05T09:28:12.957032Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:28:12.957032Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HoL4JPRdhyvOixI+gbypIpiO5hLurBU7lky5lYVfvt1DXgIdOQO+qe3FsgkZ3KJK/76bd1il4TmALoW0G7RWCA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:28:12.957488Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.06496","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5bf62a36fb8f9c2bf83c035328fe0ba89f1ab207b617e98f39768aeec26e9f3a","sha256:e6a8b0f8585e70b00cb002392d1a3cb0434982f91f6493c896281e902e8b1227"],"state_sha256":"1484bf3245748d8d7d945a4efeac4587cef15e4cdf8af8573b06fdf638e5960f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9Z8s8u6PZTayzO1MUJd+UMwKhLwhKC578DXhziQB3C4WivznGoIutsx1OGz0twkp0WcNF6U9XkiclD6xTWBrCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T06:17:45.382224Z","bundle_sha256":"8bf3ef6fa44a6e07c6bd942f562c68a0e24585e814303855f60a9251b9420684"}}