{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:F3IZ4EHYLNZV7O45D3J2C3AUZM","short_pith_number":"pith:F3IZ4EHY","canonical_record":{"source":{"id":"2606.09964","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2026-06-08T15:40:05Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"184b72b450e909485d6a3e95edae09cb0994b1b407143c79dcd3858b2a3cbd71","abstract_canon_sha256":"0e4f845436695f04102b328f2f169a7180a0627dccca178d2bd57a8c9e927778"},"schema_version":"1.0"},"canonical_sha256":"2ed19e10f85b735fbb9d1ed3a16c14cb280ea79323f076ffcc44d11538dae598","source":{"kind":"arxiv","id":"2606.09964","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.09964","created_at":"2026-06-10T00:08:35Z"},{"alias_kind":"arxiv_version","alias_value":"2606.09964v1","created_at":"2026-06-10T00:08:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.09964","created_at":"2026-06-10T00:08:35Z"},{"alias_kind":"pith_short_12","alias_value":"F3IZ4EHYLNZV","created_at":"2026-06-10T00:08:35Z"},{"alias_kind":"pith_short_16","alias_value":"F3IZ4EHYLNZV7O45","created_at":"2026-06-10T00:08:35Z"},{"alias_kind":"pith_short_8","alias_value":"F3IZ4EHY","created_at":"2026-06-10T00:08:35Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:F3IZ4EHYLNZV7O45D3J2C3AUZM","target":"record","payload":{"canonical_record":{"source":{"id":"2606.09964","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2026-06-08T15:40:05Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"184b72b450e909485d6a3e95edae09cb0994b1b407143c79dcd3858b2a3cbd71","abstract_canon_sha256":"0e4f845436695f04102b328f2f169a7180a0627dccca178d2bd57a8c9e927778"},"schema_version":"1.0"},"canonical_sha256":"2ed19e10f85b735fbb9d1ed3a16c14cb280ea79323f076ffcc44d11538dae598","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-10T00:08:35.314866Z","signature_b64":"if88q0FW+fIk10JcD/VQ9qbklk67iUQt+3qq2Ew+jSpCPDnCxx2InqroVHh56BYYvIB0fVkyWEGNrgYnPPQlBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2ed19e10f85b735fbb9d1ed3a16c14cb280ea79323f076ffcc44d11538dae598","last_reissued_at":"2026-06-10T00:08:35.314075Z","signature_status":"signed_v1","first_computed_at":"2026-06-10T00:08:35.314075Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.09964","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":"2026-06-10T00:08:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cDFV9BWAiyz8lkvlAcnJhWQkNqrXKctsVUgt3lsmprkoFQN1wp5xATVKoqanyyu2tjz4FSWU5wYPkyML74C/DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-29T16:40:01.385828Z"},"content_sha256":"46d57784082bb9d7e4d0a6a5fd4e1f7ad3f4147ff1a53010e99193685dd7d850","schema_version":"1.0","event_id":"sha256:46d57784082bb9d7e4d0a6a5fd4e1f7ad3f4147ff1a53010e99193685dd7d850"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:F3IZ4EHYLNZV7O45D3J2C3AUZM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"JGRA: Jacobian Geometry Robustness Assessment in NISQ Noise-Aware Quantum Neural Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"quant-ph","authors_text":"Gianluca Scanu, Luca Barletta, Stefano Rini","submitted_at":"2026-06-08T15:40:05Z","abstract_excerpt":"The NISQ era places stringent constraints on quantum computation, where noise and decoherence fundamentally limit performance. In classical deep learning, model robustness and resilience to perturbations are well studied: deep neural networks (DNNs) maintain high performance despite pruning, noise injection, and structural perturbations due to inherent redundancy in their representations. A central challenge in quantum machine learning is to transfer this notion of robustness to quantum neural networks (QNNs) under realistic NISQ noise. While classical deep learning exhibits robustness through"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.09964","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/2606.09964/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":"2026-06-10T00:08:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0UROD/J2bJF5wT5P5ReT7ahPC5Wbt9I0DXDsnltk+R4LjW7HGMiJet+ym13EeKsUM5xB48CVMz/9o95z8ka0DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-29T16:40:01.386215Z"},"content_sha256":"596fe620f6ad5959b11fe14f7f652f61cb53a824f848096ac9c64915cf13b6d0","schema_version":"1.0","event_id":"sha256:596fe620f6ad5959b11fe14f7f652f61cb53a824f848096ac9c64915cf13b6d0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/F3IZ4EHYLNZV7O45D3J2C3AUZM/bundle.json","state_url":"https://pith.science/pith/F3IZ4EHYLNZV7O45D3J2C3AUZM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/F3IZ4EHYLNZV7O45D3J2C3AUZM/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":"2026-06-29T16:40:01Z","links":{"resolver":"https://pith.science/pith/F3IZ4EHYLNZV7O45D3J2C3AUZM","bundle":"https://pith.science/pith/F3IZ4EHYLNZV7O45D3J2C3AUZM/bundle.json","state":"https://pith.science/pith/F3IZ4EHYLNZV7O45D3J2C3AUZM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/F3IZ4EHYLNZV7O45D3J2C3AUZM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:F3IZ4EHYLNZV7O45D3J2C3AUZM","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":"0e4f845436695f04102b328f2f169a7180a0627dccca178d2bd57a8c9e927778","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2026-06-08T15:40:05Z","title_canon_sha256":"184b72b450e909485d6a3e95edae09cb0994b1b407143c79dcd3858b2a3cbd71"},"schema_version":"1.0","source":{"id":"2606.09964","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.09964","created_at":"2026-06-10T00:08:35Z"},{"alias_kind":"arxiv_version","alias_value":"2606.09964v1","created_at":"2026-06-10T00:08:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.09964","created_at":"2026-06-10T00:08:35Z"},{"alias_kind":"pith_short_12","alias_value":"F3IZ4EHYLNZV","created_at":"2026-06-10T00:08:35Z"},{"alias_kind":"pith_short_16","alias_value":"F3IZ4EHYLNZV7O45","created_at":"2026-06-10T00:08:35Z"},{"alias_kind":"pith_short_8","alias_value":"F3IZ4EHY","created_at":"2026-06-10T00:08:35Z"}],"graph_snapshots":[{"event_id":"sha256:596fe620f6ad5959b11fe14f7f652f61cb53a824f848096ac9c64915cf13b6d0","target":"graph","created_at":"2026-06-10T00:08:35Z","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/2606.09964/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The NISQ era places stringent constraints on quantum computation, where noise and decoherence fundamentally limit performance. In classical deep learning, model robustness and resilience to perturbations are well studied: deep neural networks (DNNs) maintain high performance despite pruning, noise injection, and structural perturbations due to inherent redundancy in their representations. A central challenge in quantum machine learning is to transfer this notion of robustness to quantum neural networks (QNNs) under realistic NISQ noise. While classical deep learning exhibits robustness through","authors_text":"Gianluca Scanu, Luca Barletta, Stefano Rini","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2026-06-08T15:40:05Z","title":"JGRA: Jacobian Geometry Robustness Assessment in NISQ Noise-Aware Quantum Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.09964","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":"sha256:46d57784082bb9d7e4d0a6a5fd4e1f7ad3f4147ff1a53010e99193685dd7d850","target":"record","created_at":"2026-06-10T00:08:35Z","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":"0e4f845436695f04102b328f2f169a7180a0627dccca178d2bd57a8c9e927778","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2026-06-08T15:40:05Z","title_canon_sha256":"184b72b450e909485d6a3e95edae09cb0994b1b407143c79dcd3858b2a3cbd71"},"schema_version":"1.0","source":{"id":"2606.09964","kind":"arxiv","version":1}},"canonical_sha256":"2ed19e10f85b735fbb9d1ed3a16c14cb280ea79323f076ffcc44d11538dae598","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2ed19e10f85b735fbb9d1ed3a16c14cb280ea79323f076ffcc44d11538dae598","first_computed_at":"2026-06-10T00:08:35.314075Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-10T00:08:35.314075Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"if88q0FW+fIk10JcD/VQ9qbklk67iUQt+3qq2Ew+jSpCPDnCxx2InqroVHh56BYYvIB0fVkyWEGNrgYnPPQlBA==","signature_status":"signed_v1","signed_at":"2026-06-10T00:08:35.314866Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.09964","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:46d57784082bb9d7e4d0a6a5fd4e1f7ad3f4147ff1a53010e99193685dd7d850","sha256:596fe620f6ad5959b11fe14f7f652f61cb53a824f848096ac9c64915cf13b6d0"],"state_sha256":"6f5a3f0cea9789d63a3a4d6a3ae9603e60132bc28a0ed3d05fa1391f28da532d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6WE0QJLKRpwdiCUGJYf+wb0svD+MMuA3UDJvT0tkW1wGy6SCCeWxg8s63E3eW9Xymc9/mkIiUTM+c2g2XmouBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-29T16:40:01.388156Z","bundle_sha256":"5ced2a1bcf95daeca492a85b0ec859ba0bc0a1b748e7c52ffbedd41bd234c66c"}}