{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:5HG6YQD2FLLZM526ZV7U5H3G7C","short_pith_number":"pith:5HG6YQD2","canonical_record":{"source":{"id":"2606.30879","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2026-06-29T20:10:54Z","cross_cats_sorted":[],"title_canon_sha256":"0c81e9eef87e3df0c348dcc44e6594294f0f91f78c0dd2ba670f12d7d907b5b3","abstract_canon_sha256":"b12c6a7c927c193071b3ea5b16231a895e684c817f1dbc8f6f7a01e70f354d93"},"schema_version":"1.0"},"canonical_sha256":"e9cdec407a2ad796775ecd7f4e9f66f89cef70f4ad47591f9cb77d479a6f768c","source":{"kind":"arxiv","id":"2606.30879","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.30879","created_at":"2026-07-01T00:17:20Z"},{"alias_kind":"arxiv_version","alias_value":"2606.30879v1","created_at":"2026-07-01T00:17:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.30879","created_at":"2026-07-01T00:17:20Z"},{"alias_kind":"pith_short_12","alias_value":"5HG6YQD2FLLZ","created_at":"2026-07-01T00:17:20Z"},{"alias_kind":"pith_short_16","alias_value":"5HG6YQD2FLLZM526","created_at":"2026-07-01T00:17:20Z"},{"alias_kind":"pith_short_8","alias_value":"5HG6YQD2","created_at":"2026-07-01T00:17:20Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:5HG6YQD2FLLZM526ZV7U5H3G7C","target":"record","payload":{"canonical_record":{"source":{"id":"2606.30879","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2026-06-29T20:10:54Z","cross_cats_sorted":[],"title_canon_sha256":"0c81e9eef87e3df0c348dcc44e6594294f0f91f78c0dd2ba670f12d7d907b5b3","abstract_canon_sha256":"b12c6a7c927c193071b3ea5b16231a895e684c817f1dbc8f6f7a01e70f354d93"},"schema_version":"1.0"},"canonical_sha256":"e9cdec407a2ad796775ecd7f4e9f66f89cef70f4ad47591f9cb77d479a6f768c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-01T00:17:20.325118Z","signature_b64":"K3yGEARB1zTUstSzh6VQKknx9X7cGHbQ9q7GXS68SVllqQ6XNXXf1lqf5Ltx3aQ2NEHN91QyYWYhI1C/m4SIAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e9cdec407a2ad796775ecd7f4e9f66f89cef70f4ad47591f9cb77d479a6f768c","last_reissued_at":"2026-07-01T00:17:20.324684Z","signature_status":"signed_v1","first_computed_at":"2026-07-01T00:17:20.324684Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.30879","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":"2026-07-01T00:17:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"blzhTL5t/ARuN8F1FBL6JTSCInyxIObaDhKolYG05Zx86U1PQXYwM8RcxduHg8yzq/L9yNjMIWklzXhQb4MoCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T18:33:47.550276Z"},"content_sha256":"fceee2dfb23416d8a63a16915c14b80a559dcd970d5511495810529d23a80059","schema_version":"1.0","event_id":"sha256:fceee2dfb23416d8a63a16915c14b80a559dcd970d5511495810529d23a80059"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:5HG6YQD2FLLZM526ZV7U5H3G7C","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Neural Signatures of Programming Expertise: Classifying Programmer Skill Levels Using EEG Data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.HC","authors_text":"Annabelle Bergum, Antonio Kr\\\"uger, Mahima Mahabaleshwar Acharya, Mariya Toneva, Maurice Rekrut, Norman Peitek, Sven Apel, Taisiia Ulianova","submitted_at":"2026-06-29T20:10:54Z","abstract_excerpt":"Accurately assessing a programmer's skill level is critical for hiring, team composition, and performance evaluation in the software industry. Conventional methods, such as coding tests or interviews, often fail to capture the full spectrum of cognitive abilities underlying programming expertise. This study explores using electroencephalography (EEG) and machine learning to investigate neural correlates of programming skill. We analyzed an existing EEG dataset recorded during code comprehension from 37 programmers with 1 to 30 years of experience (8.1 +/- 6.3 years) to examine relationships be"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.30879","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/2606.30879/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":"2026-07-01T00:17:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+JiSUfUmG4J7rVLF4gkfgENa/lx9p+m94oYxMKtP3Kssj32rXx3fjIygxoGsWPcPcAeZI0VT+gJiKZv573mjCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T18:33:47.550668Z"},"content_sha256":"3f6483364e452e26b09127ff51b53897052197849f61bd0b66fb6100b0ce62f7","schema_version":"1.0","event_id":"sha256:3f6483364e452e26b09127ff51b53897052197849f61bd0b66fb6100b0ce62f7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5HG6YQD2FLLZM526ZV7U5H3G7C/bundle.json","state_url":"https://pith.science/pith/5HG6YQD2FLLZM526ZV7U5H3G7C/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5HG6YQD2FLLZM526ZV7U5H3G7C/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":"2026-08-06T18:33:47Z","links":{"resolver":"https://pith.science/pith/5HG6YQD2FLLZM526ZV7U5H3G7C","bundle":"https://pith.science/pith/5HG6YQD2FLLZM526ZV7U5H3G7C/bundle.json","state":"https://pith.science/pith/5HG6YQD2FLLZM526ZV7U5H3G7C/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5HG6YQD2FLLZM526ZV7U5H3G7C/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:5HG6YQD2FLLZM526ZV7U5H3G7C","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":"b12c6a7c927c193071b3ea5b16231a895e684c817f1dbc8f6f7a01e70f354d93","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2026-06-29T20:10:54Z","title_canon_sha256":"0c81e9eef87e3df0c348dcc44e6594294f0f91f78c0dd2ba670f12d7d907b5b3"},"schema_version":"1.0","source":{"id":"2606.30879","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.30879","created_at":"2026-07-01T00:17:20Z"},{"alias_kind":"arxiv_version","alias_value":"2606.30879v1","created_at":"2026-07-01T00:17:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.30879","created_at":"2026-07-01T00:17:20Z"},{"alias_kind":"pith_short_12","alias_value":"5HG6YQD2FLLZ","created_at":"2026-07-01T00:17:20Z"},{"alias_kind":"pith_short_16","alias_value":"5HG6YQD2FLLZM526","created_at":"2026-07-01T00:17:20Z"},{"alias_kind":"pith_short_8","alias_value":"5HG6YQD2","created_at":"2026-07-01T00:17:20Z"}],"graph_snapshots":[{"event_id":"sha256:3f6483364e452e26b09127ff51b53897052197849f61bd0b66fb6100b0ce62f7","target":"graph","created_at":"2026-07-01T00:17:20Z","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/2606.30879/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Accurately assessing a programmer's skill level is critical for hiring, team composition, and performance evaluation in the software industry. Conventional methods, such as coding tests or interviews, often fail to capture the full spectrum of cognitive abilities underlying programming expertise. This study explores using electroencephalography (EEG) and machine learning to investigate neural correlates of programming skill. We analyzed an existing EEG dataset recorded during code comprehension from 37 programmers with 1 to 30 years of experience (8.1 +/- 6.3 years) to examine relationships be","authors_text":"Annabelle Bergum, Antonio Kr\\\"uger, Mahima Mahabaleshwar Acharya, Mariya Toneva, Maurice Rekrut, Norman Peitek, Sven Apel, Taisiia Ulianova","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2026-06-29T20:10:54Z","title":"Neural Signatures of Programming Expertise: Classifying Programmer Skill Levels Using EEG Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.30879","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:fceee2dfb23416d8a63a16915c14b80a559dcd970d5511495810529d23a80059","target":"record","created_at":"2026-07-01T00:17:20Z","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":"b12c6a7c927c193071b3ea5b16231a895e684c817f1dbc8f6f7a01e70f354d93","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2026-06-29T20:10:54Z","title_canon_sha256":"0c81e9eef87e3df0c348dcc44e6594294f0f91f78c0dd2ba670f12d7d907b5b3"},"schema_version":"1.0","source":{"id":"2606.30879","kind":"arxiv","version":1}},"canonical_sha256":"e9cdec407a2ad796775ecd7f4e9f66f89cef70f4ad47591f9cb77d479a6f768c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e9cdec407a2ad796775ecd7f4e9f66f89cef70f4ad47591f9cb77d479a6f768c","first_computed_at":"2026-07-01T00:17:20.324684Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-01T00:17:20.324684Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"K3yGEARB1zTUstSzh6VQKknx9X7cGHbQ9q7GXS68SVllqQ6XNXXf1lqf5Ltx3aQ2NEHN91QyYWYhI1C/m4SIAQ==","signature_status":"signed_v1","signed_at":"2026-07-01T00:17:20.325118Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.30879","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fceee2dfb23416d8a63a16915c14b80a559dcd970d5511495810529d23a80059","sha256:3f6483364e452e26b09127ff51b53897052197849f61bd0b66fb6100b0ce62f7"],"state_sha256":"2570130f047d0ce2a3fd6700634705355197045d0cb76ee73d78deeff152e29d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2GJGGo1mewiu1QHEu7fRNGiCMbNkOpLvDZIOz+N3LdoQYRQP94FIFYRM5OyHHNOJivFfkSVP9gF+LdKYm+e6Bw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T18:33:47.553962Z","bundle_sha256":"1c74cb7535f79ca024149805cabc4130a1213cb9bed8b6fe5dcf11a2be8e29dd"}}