{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:QYI4Z7PFXHRUAAPM5QBSJF3BA6","short_pith_number":"pith:QYI4Z7PF","canonical_record":{"source":{"id":"2407.03266","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2024-07-03T16:56:08Z","cross_cats_sorted":["cs.AI","cs.LG","physics.app-ph"],"title_canon_sha256":"81125c9adebfd31f905401113128671d6f3d4f4b7d85e629d471307ac64fbbc6","abstract_canon_sha256":"eb7c36a95c00edf0c167bf8ff0cda259e2227f33cc01dee378e7aa48f0e01c3f"},"schema_version":"1.0"},"canonical_sha256":"8611ccfde5b9e34001ecec0324976107b7623b59f169bedb4403c13f406114cc","source":{"kind":"arxiv","id":"2407.03266","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.03266","created_at":"2026-07-05T08:39:48Z"},{"alias_kind":"arxiv_version","alias_value":"2407.03266v1","created_at":"2026-07-05T08:39:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.03266","created_at":"2026-07-05T08:39:48Z"},{"alias_kind":"pith_short_12","alias_value":"QYI4Z7PFXHRU","created_at":"2026-07-05T08:39:48Z"},{"alias_kind":"pith_short_16","alias_value":"QYI4Z7PFXHRUAAPM","created_at":"2026-07-05T08:39:48Z"},{"alias_kind":"pith_short_8","alias_value":"QYI4Z7PF","created_at":"2026-07-05T08:39:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:QYI4Z7PFXHRUAAPM5QBSJF3BA6","target":"record","payload":{"canonical_record":{"source":{"id":"2407.03266","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2024-07-03T16:56:08Z","cross_cats_sorted":["cs.AI","cs.LG","physics.app-ph"],"title_canon_sha256":"81125c9adebfd31f905401113128671d6f3d4f4b7d85e629d471307ac64fbbc6","abstract_canon_sha256":"eb7c36a95c00edf0c167bf8ff0cda259e2227f33cc01dee378e7aa48f0e01c3f"},"schema_version":"1.0"},"canonical_sha256":"8611ccfde5b9e34001ecec0324976107b7623b59f169bedb4403c13f406114cc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:39:48.426118Z","signature_b64":"e4uh5J/VdE6PnzkhHjMiplXrhbfkB1hPFQMKk70le005ykYib4K7Mbo4p+YAS5vLMVqsyIN/HhBzpjmSnBHBCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8611ccfde5b9e34001ecec0324976107b7623b59f169bedb4403c13f406114cc","last_reissued_at":"2026-07-05T08:39:48.425699Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:39:48.425699Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2407.03266","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":"2026-07-05T08:39:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sXla5oYSPFKQy9missivDuqqPCvB7BXWAeoWIIGASTXvQdqaqS8syp86CNGTQEFgKMfe3WZ1AVkglDUYOtyuAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T15:24:18.660599Z"},"content_sha256":"9adc22b94aae1285b1e6b1c26e845a318a6c55d08f170c84fe59b8483e8c6a13","schema_version":"1.0","event_id":"sha256:9adc22b94aae1285b1e6b1c26e845a318a6c55d08f170c84fe59b8483e8c6a13"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:QYI4Z7PFXHRUAAPM5QBSJF3BA6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Do Quantum Neural Networks have Simplicity Bias?","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG","physics.app-ph"],"primary_cat":"quant-ph","authors_text":"Jessica Pointing","submitted_at":"2024-07-03T16:56:08Z","abstract_excerpt":"One hypothesis for the success of deep neural networks (DNNs) is that they are highly expressive, which enables them to be applied to many problems, and they have a strong inductive bias towards solutions that are simple, known as simplicity bias, which allows them to generalise well on unseen data because most real-world data is structured (i.e. simple). In this work, we explore the inductive bias and expressivity of quantum neural networks (QNNs), which gives us a way to compare their performance to those of DNNs. Our results show that it is possible to have simplicity bias with certain QNNs"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.03266","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/2407.03266/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":"2026-07-05T08:39:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4+gJF57KYqyFu3ogZuN4+ltHkyx9QrD6CkWu5kQ5tKMpu9uRuzqMGLh6c2zkpkXCRUl5+dfiEdnoOMtUCP3DDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T15:24:18.662018Z"},"content_sha256":"93154b6dd8e2f0bc4b6f193036abb0151353886285ec8a009d6d3f6b19fdba51","schema_version":"1.0","event_id":"sha256:93154b6dd8e2f0bc4b6f193036abb0151353886285ec8a009d6d3f6b19fdba51"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QYI4Z7PFXHRUAAPM5QBSJF3BA6/bundle.json","state_url":"https://pith.science/pith/QYI4Z7PFXHRUAAPM5QBSJF3BA6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QYI4Z7PFXHRUAAPM5QBSJF3BA6/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":"2026-08-07T15:24:18Z","links":{"resolver":"https://pith.science/pith/QYI4Z7PFXHRUAAPM5QBSJF3BA6","bundle":"https://pith.science/pith/QYI4Z7PFXHRUAAPM5QBSJF3BA6/bundle.json","state":"https://pith.science/pith/QYI4Z7PFXHRUAAPM5QBSJF3BA6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QYI4Z7PFXHRUAAPM5QBSJF3BA6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:QYI4Z7PFXHRUAAPM5QBSJF3BA6","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":"eb7c36a95c00edf0c167bf8ff0cda259e2227f33cc01dee378e7aa48f0e01c3f","cross_cats_sorted":["cs.AI","cs.LG","physics.app-ph"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2024-07-03T16:56:08Z","title_canon_sha256":"81125c9adebfd31f905401113128671d6f3d4f4b7d85e629d471307ac64fbbc6"},"schema_version":"1.0","source":{"id":"2407.03266","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.03266","created_at":"2026-07-05T08:39:48Z"},{"alias_kind":"arxiv_version","alias_value":"2407.03266v1","created_at":"2026-07-05T08:39:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.03266","created_at":"2026-07-05T08:39:48Z"},{"alias_kind":"pith_short_12","alias_value":"QYI4Z7PFXHRU","created_at":"2026-07-05T08:39:48Z"},{"alias_kind":"pith_short_16","alias_value":"QYI4Z7PFXHRUAAPM","created_at":"2026-07-05T08:39:48Z"},{"alias_kind":"pith_short_8","alias_value":"QYI4Z7PF","created_at":"2026-07-05T08:39:48Z"}],"graph_snapshots":[{"event_id":"sha256:93154b6dd8e2f0bc4b6f193036abb0151353886285ec8a009d6d3f6b19fdba51","target":"graph","created_at":"2026-07-05T08:39:48Z","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/2407.03266/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"One hypothesis for the success of deep neural networks (DNNs) is that they are highly expressive, which enables them to be applied to many problems, and they have a strong inductive bias towards solutions that are simple, known as simplicity bias, which allows them to generalise well on unseen data because most real-world data is structured (i.e. simple). In this work, we explore the inductive bias and expressivity of quantum neural networks (QNNs), which gives us a way to compare their performance to those of DNNs. Our results show that it is possible to have simplicity bias with certain QNNs","authors_text":"Jessica Pointing","cross_cats":["cs.AI","cs.LG","physics.app-ph"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2024-07-03T16:56:08Z","title":"Do Quantum Neural Networks have Simplicity Bias?"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.03266","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":"sha256:9adc22b94aae1285b1e6b1c26e845a318a6c55d08f170c84fe59b8483e8c6a13","target":"record","created_at":"2026-07-05T08:39:48Z","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":"eb7c36a95c00edf0c167bf8ff0cda259e2227f33cc01dee378e7aa48f0e01c3f","cross_cats_sorted":["cs.AI","cs.LG","physics.app-ph"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2024-07-03T16:56:08Z","title_canon_sha256":"81125c9adebfd31f905401113128671d6f3d4f4b7d85e629d471307ac64fbbc6"},"schema_version":"1.0","source":{"id":"2407.03266","kind":"arxiv","version":1}},"canonical_sha256":"8611ccfde5b9e34001ecec0324976107b7623b59f169bedb4403c13f406114cc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8611ccfde5b9e34001ecec0324976107b7623b59f169bedb4403c13f406114cc","first_computed_at":"2026-07-05T08:39:48.425699Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:39:48.425699Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"e4uh5J/VdE6PnzkhHjMiplXrhbfkB1hPFQMKk70le005ykYib4K7Mbo4p+YAS5vLMVqsyIN/HhBzpjmSnBHBCw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:39:48.426118Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.03266","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9adc22b94aae1285b1e6b1c26e845a318a6c55d08f170c84fe59b8483e8c6a13","sha256:93154b6dd8e2f0bc4b6f193036abb0151353886285ec8a009d6d3f6b19fdba51"],"state_sha256":"055731ef65febe96d1538a7906fe36b0701d489513c3103fc3a0db1acef29d2c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MN6B5lEqZMppeOP5mml9qa8Dk68WFuDBoBFbIMLO/rjN/tEo2xOI/0mJt+SjVAS0K0nsEABMmB+x4//tSLsODQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T15:24:18.670438Z","bundle_sha256":"e313d550af425f1b5205690c7b21115eba0fa348f65685c2246f5041dfb6e534"}}