{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:EISJCVDY2MB6Z4GGSHT2BKGFRF","short_pith_number":"pith:EISJCVDY","canonical_record":{"source":{"id":"2605.29557","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2026-05-28T08:11:15Z","cross_cats_sorted":[],"title_canon_sha256":"1623801e6ff4092e7211fd6adce612df9c4c4ed2e5ec1c7cda40b7ea78b5bd98","abstract_canon_sha256":"375f54a69d6367e04b63f9094066d336747a589e78c466b8a9f2f9a750e2ec04"},"schema_version":"1.0"},"canonical_sha256":"2224915478d303ecf0c691e7a0a8c5896a7224230cebbc710cdf5ba71ae4aaed","source":{"kind":"arxiv","id":"2605.29557","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.29557","created_at":"2026-05-29T01:05:47Z"},{"alias_kind":"arxiv_version","alias_value":"2605.29557v1","created_at":"2026-05-29T01:05:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.29557","created_at":"2026-05-29T01:05:47Z"},{"alias_kind":"pith_short_12","alias_value":"EISJCVDY2MB6","created_at":"2026-05-29T01:05:47Z"},{"alias_kind":"pith_short_16","alias_value":"EISJCVDY2MB6Z4GG","created_at":"2026-05-29T01:05:47Z"},{"alias_kind":"pith_short_8","alias_value":"EISJCVDY","created_at":"2026-05-29T01:05:47Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:EISJCVDY2MB6Z4GGSHT2BKGFRF","target":"record","payload":{"canonical_record":{"source":{"id":"2605.29557","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2026-05-28T08:11:15Z","cross_cats_sorted":[],"title_canon_sha256":"1623801e6ff4092e7211fd6adce612df9c4c4ed2e5ec1c7cda40b7ea78b5bd98","abstract_canon_sha256":"375f54a69d6367e04b63f9094066d336747a589e78c466b8a9f2f9a750e2ec04"},"schema_version":"1.0"},"canonical_sha256":"2224915478d303ecf0c691e7a0a8c5896a7224230cebbc710cdf5ba71ae4aaed","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-29T01:05:47.157547Z","signature_b64":"NI5oHS3kZ62Qxa6FVZWh5dESjuuWhqLSOEdAcftNMzcARfE3zFfBpFRNDrPNPyXMeEln1ztqgBTZgiDIB7maDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2224915478d303ecf0c691e7a0a8c5896a7224230cebbc710cdf5ba71ae4aaed","last_reissued_at":"2026-05-29T01:05:47.156671Z","signature_status":"signed_v1","first_computed_at":"2026-05-29T01:05:47.156671Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.29557","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":"2026-05-29T01:05:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IzNN22QEBk4QiCpJNtPu6iNDnHKsklVyjZE04FQyU2TQ3qdOxQJrxURWXEhXMDIjj0NhQYrD5ypIORFZMjGLCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T19:55:48.320732Z"},"content_sha256":"fd51b7b8d8366fba953e44c9854ecbf3568ec006a0ea37d0ec315a5f34dc0414","schema_version":"1.0","event_id":"sha256:fd51b7b8d8366fba953e44c9854ecbf3568ec006a0ea37d0ec315a5f34dc0414"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:EISJCVDY2MB6Z4GGSHT2BKGFRF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Quantum Subliminal Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"Shi-Xin Zhang, Yu-Qin Chen","submitted_at":"2026-05-28T08:11:15Z","abstract_excerpt":"Machine learning models can inherit hidden behavioral traits through innocuous public interfaces, a phenomenon known as subliminal learning. Here we extend this framework to quantum models and study two distillation pathways: an auxiliary channel on random inputs and a restricted task channel in which the student matches a public supervised output while the hidden behavior resides on a disjoint task. Both classical and quantum neural networks (QNNs) exhibit efficient auxiliary-channel subliminal learning, but the task channel shows strong architecture dependence. Classical neural networks tran"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.29557","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/2605.29557/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":"2026-05-29T01:05:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jk9JST1eELnRKIRR682qVO8mr34sI617Xro+FbAIm5tckbdY4ddVDBw1wYHhaFkiF+vRVmGR2XKmY+Y/H7jmAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T19:55:48.321442Z"},"content_sha256":"eb95b335be29ddf7a1306145fdde6c5efa01ee83a3672c04c206864621fa553d","schema_version":"1.0","event_id":"sha256:eb95b335be29ddf7a1306145fdde6c5efa01ee83a3672c04c206864621fa553d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EISJCVDY2MB6Z4GGSHT2BKGFRF/bundle.json","state_url":"https://pith.science/pith/EISJCVDY2MB6Z4GGSHT2BKGFRF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EISJCVDY2MB6Z4GGSHT2BKGFRF/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":"2026-06-06T19:55:48Z","links":{"resolver":"https://pith.science/pith/EISJCVDY2MB6Z4GGSHT2BKGFRF","bundle":"https://pith.science/pith/EISJCVDY2MB6Z4GGSHT2BKGFRF/bundle.json","state":"https://pith.science/pith/EISJCVDY2MB6Z4GGSHT2BKGFRF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EISJCVDY2MB6Z4GGSHT2BKGFRF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:EISJCVDY2MB6Z4GGSHT2BKGFRF","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":"375f54a69d6367e04b63f9094066d336747a589e78c466b8a9f2f9a750e2ec04","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2026-05-28T08:11:15Z","title_canon_sha256":"1623801e6ff4092e7211fd6adce612df9c4c4ed2e5ec1c7cda40b7ea78b5bd98"},"schema_version":"1.0","source":{"id":"2605.29557","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.29557","created_at":"2026-05-29T01:05:47Z"},{"alias_kind":"arxiv_version","alias_value":"2605.29557v1","created_at":"2026-05-29T01:05:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.29557","created_at":"2026-05-29T01:05:47Z"},{"alias_kind":"pith_short_12","alias_value":"EISJCVDY2MB6","created_at":"2026-05-29T01:05:47Z"},{"alias_kind":"pith_short_16","alias_value":"EISJCVDY2MB6Z4GG","created_at":"2026-05-29T01:05:47Z"},{"alias_kind":"pith_short_8","alias_value":"EISJCVDY","created_at":"2026-05-29T01:05:47Z"}],"graph_snapshots":[{"event_id":"sha256:eb95b335be29ddf7a1306145fdde6c5efa01ee83a3672c04c206864621fa553d","target":"graph","created_at":"2026-05-29T01:05:47Z","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/2605.29557/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Machine learning models can inherit hidden behavioral traits through innocuous public interfaces, a phenomenon known as subliminal learning. Here we extend this framework to quantum models and study two distillation pathways: an auxiliary channel on random inputs and a restricted task channel in which the student matches a public supervised output while the hidden behavior resides on a disjoint task. Both classical and quantum neural networks (QNNs) exhibit efficient auxiliary-channel subliminal learning, but the task channel shows strong architecture dependence. Classical neural networks tran","authors_text":"Shi-Xin Zhang, Yu-Qin Chen","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2026-05-28T08:11:15Z","title":"Quantum Subliminal Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.29557","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:fd51b7b8d8366fba953e44c9854ecbf3568ec006a0ea37d0ec315a5f34dc0414","target":"record","created_at":"2026-05-29T01:05:47Z","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":"375f54a69d6367e04b63f9094066d336747a589e78c466b8a9f2f9a750e2ec04","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2026-05-28T08:11:15Z","title_canon_sha256":"1623801e6ff4092e7211fd6adce612df9c4c4ed2e5ec1c7cda40b7ea78b5bd98"},"schema_version":"1.0","source":{"id":"2605.29557","kind":"arxiv","version":1}},"canonical_sha256":"2224915478d303ecf0c691e7a0a8c5896a7224230cebbc710cdf5ba71ae4aaed","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2224915478d303ecf0c691e7a0a8c5896a7224230cebbc710cdf5ba71ae4aaed","first_computed_at":"2026-05-29T01:05:47.156671Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-29T01:05:47.156671Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"NI5oHS3kZ62Qxa6FVZWh5dESjuuWhqLSOEdAcftNMzcARfE3zFfBpFRNDrPNPyXMeEln1ztqgBTZgiDIB7maDg==","signature_status":"signed_v1","signed_at":"2026-05-29T01:05:47.157547Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.29557","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fd51b7b8d8366fba953e44c9854ecbf3568ec006a0ea37d0ec315a5f34dc0414","sha256:eb95b335be29ddf7a1306145fdde6c5efa01ee83a3672c04c206864621fa553d"],"state_sha256":"da2683bee1469d84ca839f278476eb4589da39f47da433c37d9b8ef26b94e355"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"93Vfy/Kih1O7RDvAeqbnTMU7DYlZ6AFmCMwlInMfBY0DBFWI9I20ppeaSpsAMB1KKtbVtWo7GJ4uS7wc5ButAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-06T19:55:48.327492Z","bundle_sha256":"f865347ff455058cc1c6df8d6cc21042f2c2410529625acfcde9434f2d8cd95a"}}