{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:PH4LBJPIISKVZCUK7SX42CPOUV","short_pith_number":"pith:PH4LBJPI","canonical_record":{"source":{"id":"2502.01013","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-02-03T03:05:20Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"153554d7e9cb9a896ea63969580f7fa05c61f872057dd8d9093ec3f44abacd1b","abstract_canon_sha256":"3391d848c4342bfb1c6666697ded1c820e2fd2549c95fb8b733277c4a029f839"},"schema_version":"1.0"},"canonical_sha256":"79f8b0a5e844955c8a8afcafcd09eea57735c288cb686806f578e5dd19d6d4a7","source":{"kind":"arxiv","id":"2502.01013","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.01013","created_at":"2026-07-05T10:08:41Z"},{"alias_kind":"arxiv_version","alias_value":"2502.01013v1","created_at":"2026-07-05T10:08:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.01013","created_at":"2026-07-05T10:08:41Z"},{"alias_kind":"pith_short_12","alias_value":"PH4LBJPIISKV","created_at":"2026-07-05T10:08:41Z"},{"alias_kind":"pith_short_16","alias_value":"PH4LBJPIISKVZCUK","created_at":"2026-07-05T10:08:41Z"},{"alias_kind":"pith_short_8","alias_value":"PH4LBJPI","created_at":"2026-07-05T10:08:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:PH4LBJPIISKVZCUK7SX42CPOUV","target":"record","payload":{"canonical_record":{"source":{"id":"2502.01013","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-02-03T03:05:20Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"153554d7e9cb9a896ea63969580f7fa05c61f872057dd8d9093ec3f44abacd1b","abstract_canon_sha256":"3391d848c4342bfb1c6666697ded1c820e2fd2549c95fb8b733277c4a029f839"},"schema_version":"1.0"},"canonical_sha256":"79f8b0a5e844955c8a8afcafcd09eea57735c288cb686806f578e5dd19d6d4a7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:08:41.573700Z","signature_b64":"Gw6+rAVpbBa8TuZdRKifPx02pTYFkkeNiqsjL+seBfdeqIMXhbMmltuAGdXCI2YOEYZexL2GvsHM0AKeP5eLDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"79f8b0a5e844955c8a8afcafcd09eea57735c288cb686806f578e5dd19d6d4a7","last_reissued_at":"2026-07-05T10:08:41.573220Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:08:41.573220Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.01013","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":"2026-07-05T10:08:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QIPqW8kbtARbme9OqYmjMsxzrUDQE1pqRJCRaoPRDgB8MpoE8AybjII2gZYr6XcF4X5Gto3A4XV88KTt2jkjBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-27T15:24:37.875249Z"},"content_sha256":"70ee81fd8f3eed3ac435cfcda6641d49e5673848eee436c59d9c4c2987ae5e7a","schema_version":"1.0","event_id":"sha256:70ee81fd8f3eed3ac435cfcda6641d49e5673848eee436c59d9c4c2987ae5e7a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:PH4LBJPIISKVZCUK7SX42CPOUV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Encrypted Large Model Inference: The Equivariant Encryption Paradigm","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CR","authors_text":"Ahmad Farhan, Arria Owlia, Claudio Angione, Fielding Johnston, Harry Yang, Hongyang Zhang, James Buban, Michael Du, Patrick Colangelo, Seyfal Sultanov, Xuran Ma, Yue Zhao, Zihao Wang","submitted_at":"2025-02-03T03:05:20Z","abstract_excerpt":"Large scale deep learning model, such as modern language models and diffusion architectures, have revolutionized applications ranging from natural language processing to computer vision. However, their deployment in distributed or decentralized environments raises significant privacy concerns, as sensitive data may be exposed during inference. Traditional techniques like secure multi-party computation, homomorphic encryption, and differential privacy offer partial remedies but often incur substantial computational overhead, latency penalties, or limited compatibility with non-linear network op"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.01013","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/2502.01013/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":"2026-07-05T10:08:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0lVORik+esarG0u/4LtDen6F7F8XC7CPGfp6uI0Fa8rOB1LGUPPIwuFjNkzTETdN4R2Rl2+y4i78qRRwahjkCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-27T15:24:37.875638Z"},"content_sha256":"abcd4222d9340f3133458c27115e4d8bdbc80bd8fff93793a8c428d9698309f3","schema_version":"1.0","event_id":"sha256:abcd4222d9340f3133458c27115e4d8bdbc80bd8fff93793a8c428d9698309f3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PH4LBJPIISKVZCUK7SX42CPOUV/bundle.json","state_url":"https://pith.science/pith/PH4LBJPIISKVZCUK7SX42CPOUV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PH4LBJPIISKVZCUK7SX42CPOUV/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":"2026-07-27T15:24:37Z","links":{"resolver":"https://pith.science/pith/PH4LBJPIISKVZCUK7SX42CPOUV","bundle":"https://pith.science/pith/PH4LBJPIISKVZCUK7SX42CPOUV/bundle.json","state":"https://pith.science/pith/PH4LBJPIISKVZCUK7SX42CPOUV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PH4LBJPIISKVZCUK7SX42CPOUV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:PH4LBJPIISKVZCUK7SX42CPOUV","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":"3391d848c4342bfb1c6666697ded1c820e2fd2549c95fb8b733277c4a029f839","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-02-03T03:05:20Z","title_canon_sha256":"153554d7e9cb9a896ea63969580f7fa05c61f872057dd8d9093ec3f44abacd1b"},"schema_version":"1.0","source":{"id":"2502.01013","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.01013","created_at":"2026-07-05T10:08:41Z"},{"alias_kind":"arxiv_version","alias_value":"2502.01013v1","created_at":"2026-07-05T10:08:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.01013","created_at":"2026-07-05T10:08:41Z"},{"alias_kind":"pith_short_12","alias_value":"PH4LBJPIISKV","created_at":"2026-07-05T10:08:41Z"},{"alias_kind":"pith_short_16","alias_value":"PH4LBJPIISKVZCUK","created_at":"2026-07-05T10:08:41Z"},{"alias_kind":"pith_short_8","alias_value":"PH4LBJPI","created_at":"2026-07-05T10:08:41Z"}],"graph_snapshots":[{"event_id":"sha256:abcd4222d9340f3133458c27115e4d8bdbc80bd8fff93793a8c428d9698309f3","target":"graph","created_at":"2026-07-05T10:08:41Z","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/2502.01013/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large scale deep learning model, such as modern language models and diffusion architectures, have revolutionized applications ranging from natural language processing to computer vision. However, their deployment in distributed or decentralized environments raises significant privacy concerns, as sensitive data may be exposed during inference. Traditional techniques like secure multi-party computation, homomorphic encryption, and differential privacy offer partial remedies but often incur substantial computational overhead, latency penalties, or limited compatibility with non-linear network op","authors_text":"Ahmad Farhan, Arria Owlia, Claudio Angione, Fielding Johnston, Harry Yang, Hongyang Zhang, James Buban, Michael Du, Patrick Colangelo, Seyfal Sultanov, Xuran Ma, Yue Zhao, Zihao Wang","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-02-03T03:05:20Z","title":"Encrypted Large Model Inference: The Equivariant Encryption Paradigm"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.01013","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":"sha256:70ee81fd8f3eed3ac435cfcda6641d49e5673848eee436c59d9c4c2987ae5e7a","target":"record","created_at":"2026-07-05T10:08:41Z","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":"3391d848c4342bfb1c6666697ded1c820e2fd2549c95fb8b733277c4a029f839","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-02-03T03:05:20Z","title_canon_sha256":"153554d7e9cb9a896ea63969580f7fa05c61f872057dd8d9093ec3f44abacd1b"},"schema_version":"1.0","source":{"id":"2502.01013","kind":"arxiv","version":1}},"canonical_sha256":"79f8b0a5e844955c8a8afcafcd09eea57735c288cb686806f578e5dd19d6d4a7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"79f8b0a5e844955c8a8afcafcd09eea57735c288cb686806f578e5dd19d6d4a7","first_computed_at":"2026-07-05T10:08:41.573220Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:08:41.573220Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Gw6+rAVpbBa8TuZdRKifPx02pTYFkkeNiqsjL+seBfdeqIMXhbMmltuAGdXCI2YOEYZexL2GvsHM0AKeP5eLDg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:08:41.573700Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.01013","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:70ee81fd8f3eed3ac435cfcda6641d49e5673848eee436c59d9c4c2987ae5e7a","sha256:abcd4222d9340f3133458c27115e4d8bdbc80bd8fff93793a8c428d9698309f3"],"state_sha256":"90cb92ae3996b87032f1a7f91b83f0f606353854e2d70318aa78839986615cae"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7s35lHVsKtvzVnB7SbA8UIoBy3RQ2/oRsZ0+nwAJL35SfxtV01PcvM6RiaA4L0Xsm8bm0T8TR6wBMwBbRA+VCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-27T15:24:37.877707Z","bundle_sha256":"f50178723ed2fe2287eb53096791334103df62413630ca473ec183ad3527d71b"}}