{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:U2MKMRIROA4DXZ6JB3SIQWE3OC","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":"e61c9ca8294cb672db52ba216f8c62a445334eb88954dac78344aa3e077ea205","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2022-10-17T00:35:38Z","title_canon_sha256":"a82ebb6e1000e73fce2a707c50f1a8985c09808e832d080914712f6b6d7f7e42"},"schema_version":"1.0","source":{"id":"2210.08674","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.08674","created_at":"2026-07-05T05:07:13Z"},{"alias_kind":"arxiv_version","alias_value":"2210.08674v1","created_at":"2026-07-05T05:07:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.08674","created_at":"2026-07-05T05:07:13Z"},{"alias_kind":"pith_short_12","alias_value":"U2MKMRIROA4D","created_at":"2026-07-05T05:07:13Z"},{"alias_kind":"pith_short_16","alias_value":"U2MKMRIROA4DXZ6J","created_at":"2026-07-05T05:07:13Z"},{"alias_kind":"pith_short_8","alias_value":"U2MKMRIR","created_at":"2026-07-05T05:07:13Z"}],"graph_snapshots":[{"event_id":"sha256:639cab950db6b72bcf25dd996c8349e95a9fa049497b1fb4f4161c9c656831bc","target":"graph","created_at":"2026-07-05T05:07:13Z","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/2210.08674/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As ML models have increased in capabilities and accuracy, so has the complexity of their deployments. Increasingly, ML model consumers are turning to service providers to serve the ML models in the ML-as-a-service (MLaaS) paradigm. As MLaaS proliferates, a critical requirement emerges: how can model consumers verify that the correct predictions were served, in the face of malicious, lazy, or buggy service providers?\n  In this work, we present the first practical ImageNet-scale method to verify ML model inference non-interactively, i.e., after the inference has been done. To do so, we leverage ","authors_text":"Daniel Kang, Ion Stoica, Tatsunori Hashimoto, Yi Sun","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2022-10-17T00:35:38Z","title":"Scaling up Trustless DNN Inference with Zero-Knowledge Proofs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.08674","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":"sha256:925c17e26d6c63aa45183f3c38b5aec2769f2472752aafc6600a004ea5dd31aa","target":"record","created_at":"2026-07-05T05:07:13Z","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":"e61c9ca8294cb672db52ba216f8c62a445334eb88954dac78344aa3e077ea205","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2022-10-17T00:35:38Z","title_canon_sha256":"a82ebb6e1000e73fce2a707c50f1a8985c09808e832d080914712f6b6d7f7e42"},"schema_version":"1.0","source":{"id":"2210.08674","kind":"arxiv","version":1}},"canonical_sha256":"a698a6451170383be7c90ee488589b70a75dd6d435918e49b6f944f66639d777","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a698a6451170383be7c90ee488589b70a75dd6d435918e49b6f944f66639d777","first_computed_at":"2026-07-05T05:07:13.519044Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:07:13.519044Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3LbFHEWwJa5miiC20Oe7tNlWCvaYVABlQNVMrshqU8fk8mlZsnbMl9I20+zMnm5HO0hjBCU13HmSDctUFyCiBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:07:13.519547Z","signed_message":"canonical_sha256_bytes"},"source_id":"2210.08674","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:925c17e26d6c63aa45183f3c38b5aec2769f2472752aafc6600a004ea5dd31aa","sha256:639cab950db6b72bcf25dd996c8349e95a9fa049497b1fb4f4161c9c656831bc"],"state_sha256":"ad0e1e2022d7066e7c22c20d2740736717a1fff491782ef739fd1f2935b1dc07"}