{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:JLHB2YOULVUGDJV5YELON3ONIY","short_pith_number":"pith:JLHB2YOU","canonical_record":{"source":{"id":"2507.14919","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-07-20T11:16:56Z","cross_cats_sorted":["quant-ph"],"title_canon_sha256":"1bdf4508cb95ba509eb74d09462b8f147683b2f088eacd695ea9b20c81613aca","abstract_canon_sha256":"8677cc43129740848d6c806de21b90d5da4ef94ad5650b3325252dde8a1515fd"},"schema_version":"1.0"},"canonical_sha256":"4ace1d61d45d6861a6bdc116e6edcd46190d34f3e8ddd26b7bd10bfd8b23a87b","source":{"kind":"arxiv","id":"2507.14919","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.14919","created_at":"2026-07-05T11:40:15Z"},{"alias_kind":"arxiv_version","alias_value":"2507.14919v1","created_at":"2026-07-05T11:40:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.14919","created_at":"2026-07-05T11:40:15Z"},{"alias_kind":"pith_short_12","alias_value":"JLHB2YOULVUG","created_at":"2026-07-05T11:40:15Z"},{"alias_kind":"pith_short_16","alias_value":"JLHB2YOULVUGDJV5","created_at":"2026-07-05T11:40:15Z"},{"alias_kind":"pith_short_8","alias_value":"JLHB2YOU","created_at":"2026-07-05T11:40:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:JLHB2YOULVUGDJV5YELON3ONIY","target":"record","payload":{"canonical_record":{"source":{"id":"2507.14919","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-07-20T11:16:56Z","cross_cats_sorted":["quant-ph"],"title_canon_sha256":"1bdf4508cb95ba509eb74d09462b8f147683b2f088eacd695ea9b20c81613aca","abstract_canon_sha256":"8677cc43129740848d6c806de21b90d5da4ef94ad5650b3325252dde8a1515fd"},"schema_version":"1.0"},"canonical_sha256":"4ace1d61d45d6861a6bdc116e6edcd46190d34f3e8ddd26b7bd10bfd8b23a87b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:40:15.459189Z","signature_b64":"C6Br3t6yZY5iG+2ufpFoSXsSskPLW8coSYG35x1bm8CjxaeOZhq+0ok7hwZI7B6GISeiR+dQHng/HYQl0Yx6CA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4ace1d61d45d6861a6bdc116e6edcd46190d34f3e8ddd26b7bd10bfd8b23a87b","last_reissued_at":"2026-07-05T11:40:15.458750Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:40:15.458750Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.14919","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":"2026-07-05T11:40:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QvFDeqTTMPnVCvvHKhuzGs5ENtgI+0VRoDT6Frb9QFEgZcM8rrJzoPxCHPBiYJTLD6Cgx5cbKjPUcqLt9uYpAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T10:33:51.056131Z"},"content_sha256":"df7609d4353f9e472bd4b488a15181c658f2875c714eba1d69a6b78e1ea945a4","schema_version":"1.0","event_id":"sha256:df7609d4353f9e472bd4b488a15181c658f2875c714eba1d69a6b78e1ea945a4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:JLHB2YOULVUGDJV5YELON3ONIY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Old Rules in a New Game: Mapping Uncertainty Quantification to Quantum Machine Learning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["quant-ph"],"primary_cat":"cs.LG","authors_text":"Kilian Tscharke, Maximilian Wendlinger, Pascal Debus","submitted_at":"2025-07-20T11:16:56Z","abstract_excerpt":"One of the key obstacles in traditional deep learning is the reduction in model transparency caused by increasingly intricate model functions, which can lead to problems such as overfitting and excessive confidence in predictions. With the advent of quantum machine learning offering possible advances in computational power and latent space complexity, we notice the same opaque behavior. Despite significant research in classical contexts, there has been little advancement in addressing the black-box nature of quantum machine learning. Consequently, we approach this gap by building upon existing"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.14919","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/2507.14919/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":"2026-07-05T11:40:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"S/RYzkGso1wJ2YnyAivNsgy6vdMEcBlXsnPgDHxCmSk2rj5jKKiMvSzwscGy+vIE3eTRo1Q4MDTIqgLXr2q3BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T10:33:51.057326Z"},"content_sha256":"1616ccda0595c949705c43d01a4ea783098b66dea1a488a85cc3661347028a1e","schema_version":"1.0","event_id":"sha256:1616ccda0595c949705c43d01a4ea783098b66dea1a488a85cc3661347028a1e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JLHB2YOULVUGDJV5YELON3ONIY/bundle.json","state_url":"https://pith.science/pith/JLHB2YOULVUGDJV5YELON3ONIY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JLHB2YOULVUGDJV5YELON3ONIY/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":"2026-08-07T10:33:51Z","links":{"resolver":"https://pith.science/pith/JLHB2YOULVUGDJV5YELON3ONIY","bundle":"https://pith.science/pith/JLHB2YOULVUGDJV5YELON3ONIY/bundle.json","state":"https://pith.science/pith/JLHB2YOULVUGDJV5YELON3ONIY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JLHB2YOULVUGDJV5YELON3ONIY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:JLHB2YOULVUGDJV5YELON3ONIY","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":"8677cc43129740848d6c806de21b90d5da4ef94ad5650b3325252dde8a1515fd","cross_cats_sorted":["quant-ph"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-07-20T11:16:56Z","title_canon_sha256":"1bdf4508cb95ba509eb74d09462b8f147683b2f088eacd695ea9b20c81613aca"},"schema_version":"1.0","source":{"id":"2507.14919","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.14919","created_at":"2026-07-05T11:40:15Z"},{"alias_kind":"arxiv_version","alias_value":"2507.14919v1","created_at":"2026-07-05T11:40:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.14919","created_at":"2026-07-05T11:40:15Z"},{"alias_kind":"pith_short_12","alias_value":"JLHB2YOULVUG","created_at":"2026-07-05T11:40:15Z"},{"alias_kind":"pith_short_16","alias_value":"JLHB2YOULVUGDJV5","created_at":"2026-07-05T11:40:15Z"},{"alias_kind":"pith_short_8","alias_value":"JLHB2YOU","created_at":"2026-07-05T11:40:15Z"}],"graph_snapshots":[{"event_id":"sha256:1616ccda0595c949705c43d01a4ea783098b66dea1a488a85cc3661347028a1e","target":"graph","created_at":"2026-07-05T11:40:15Z","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/2507.14919/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"One of the key obstacles in traditional deep learning is the reduction in model transparency caused by increasingly intricate model functions, which can lead to problems such as overfitting and excessive confidence in predictions. With the advent of quantum machine learning offering possible advances in computational power and latent space complexity, we notice the same opaque behavior. Despite significant research in classical contexts, there has been little advancement in addressing the black-box nature of quantum machine learning. Consequently, we approach this gap by building upon existing","authors_text":"Kilian Tscharke, Maximilian Wendlinger, Pascal Debus","cross_cats":["quant-ph"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-07-20T11:16:56Z","title":"Old Rules in a New Game: Mapping Uncertainty Quantification to Quantum Machine Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.14919","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:df7609d4353f9e472bd4b488a15181c658f2875c714eba1d69a6b78e1ea945a4","target":"record","created_at":"2026-07-05T11:40:15Z","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":"8677cc43129740848d6c806de21b90d5da4ef94ad5650b3325252dde8a1515fd","cross_cats_sorted":["quant-ph"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-07-20T11:16:56Z","title_canon_sha256":"1bdf4508cb95ba509eb74d09462b8f147683b2f088eacd695ea9b20c81613aca"},"schema_version":"1.0","source":{"id":"2507.14919","kind":"arxiv","version":1}},"canonical_sha256":"4ace1d61d45d6861a6bdc116e6edcd46190d34f3e8ddd26b7bd10bfd8b23a87b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4ace1d61d45d6861a6bdc116e6edcd46190d34f3e8ddd26b7bd10bfd8b23a87b","first_computed_at":"2026-07-05T11:40:15.458750Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:40:15.458750Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"C6Br3t6yZY5iG+2ufpFoSXsSskPLW8coSYG35x1bm8CjxaeOZhq+0ok7hwZI7B6GISeiR+dQHng/HYQl0Yx6CA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:40:15.459189Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.14919","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:df7609d4353f9e472bd4b488a15181c658f2875c714eba1d69a6b78e1ea945a4","sha256:1616ccda0595c949705c43d01a4ea783098b66dea1a488a85cc3661347028a1e"],"state_sha256":"cbd61d739ba047ac8ff22c39081c5299600d2aa7e7f7600d76fce1ec3bd0e57a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2uLWvkP2XFpLtTM/v0VY4ooXlAw/F7jtlZEm44JpKsaFi766jODPgGUNQ+6Lh2dsiCGyPAb+vZ0ePFtmWcBgCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T10:33:51.074278Z","bundle_sha256":"17915a94423d260f1d817ee3c6b7d6e078630bf6ebcca3ff785598502477228c"}}