{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:DCY5VDLU3YJ332MLPK4QXSKD4B","short_pith_number":"pith:DCY5VDLU","canonical_record":{"source":{"id":"2605.26434","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-26T01:40:36Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"b562b11d568280a0d759917cfff98f1948494949770301c4e4afcc2688f8b0b6","abstract_canon_sha256":"0d4f03eb123e8edb0550ef7cf0330bd6950b1831f5cdb7f1f43949578eb80afb"},"schema_version":"1.0"},"canonical_sha256":"18b1da8d74de13bde98b7ab90bc943e046e4075a307f3cbaa44363e8cd83bffb","source":{"kind":"arxiv","id":"2605.26434","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.26434","created_at":"2026-05-27T01:05:17Z"},{"alias_kind":"arxiv_version","alias_value":"2605.26434v1","created_at":"2026-05-27T01:05:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.26434","created_at":"2026-05-27T01:05:17Z"},{"alias_kind":"pith_short_12","alias_value":"DCY5VDLU3YJ3","created_at":"2026-05-27T01:05:17Z"},{"alias_kind":"pith_short_16","alias_value":"DCY5VDLU3YJ332ML","created_at":"2026-05-27T01:05:17Z"},{"alias_kind":"pith_short_8","alias_value":"DCY5VDLU","created_at":"2026-05-27T01:05:17Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:DCY5VDLU3YJ332MLPK4QXSKD4B","target":"record","payload":{"canonical_record":{"source":{"id":"2605.26434","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-26T01:40:36Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"b562b11d568280a0d759917cfff98f1948494949770301c4e4afcc2688f8b0b6","abstract_canon_sha256":"0d4f03eb123e8edb0550ef7cf0330bd6950b1831f5cdb7f1f43949578eb80afb"},"schema_version":"1.0"},"canonical_sha256":"18b1da8d74de13bde98b7ab90bc943e046e4075a307f3cbaa44363e8cd83bffb","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-27T01:05:17.836156Z","signature_b64":"n6LtmcIS4AtqfM+3Eg4b797q62DaCVhevc4Uy6CaNo2YRO0x0zptxfaZ1DE4uf9ms0fNwaa8Kc5GcFLXIQkWCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"18b1da8d74de13bde98b7ab90bc943e046e4075a307f3cbaa44363e8cd83bffb","last_reissued_at":"2026-05-27T01:05:17.835378Z","signature_status":"signed_v1","first_computed_at":"2026-05-27T01:05:17.835378Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.26434","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":"2026-05-27T01:05:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XyJkE72C9ckdwFfdYP0r7LJuhENL6+KNAyz5zRVcBDnlbBGt0NJxq5e08JMIchDDdMnXAoIfT4te9x1P1KSYCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T12:22:31.387584Z"},"content_sha256":"228379a3eb77570204728daa55a70c7bfd804d5e93cf5033bda91a129125e751","schema_version":"1.0","event_id":"sha256:228379a3eb77570204728daa55a70c7bfd804d5e93cf5033bda91a129125e751"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:DCY5VDLU3YJ332MLPK4QXSKD4B","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Aperiodic and Low-Frequency Spectral Bias in Reconstruction based EEG Foundation Models","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Aditya Kommineni, Andreas Peter Juhl Hansen, Emily Zhou, Jeppe Roden M\\\"unster, Kleanthis Avramidis, Richard Leahy, Shrikanth Narayanan, Simon Bock Segaard, Takfarinas Medani, Tiantian Feng","submitted_at":"2026-05-26T01:40:36Z","abstract_excerpt":"EEG foundation models, pre-trained on large-scale unlabelled EEG data, have emerged as a promising direction towards learning generalizable EEG representations. Despite showing positive results in data-rich regimes, they often fail to outperform significantly smaller supervised models in low-resource settings compared to fully supervised models. We provide a mechanistic account of this shortcoming, attributing it to a fundamental mismatch between reconstruction-based pretext tasks and the idiosyncratic spectral structure of EEG signals, which decompose into distinct high-power aperiodic and lo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.26434","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/2605.26434/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":"2026-05-27T01:05:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JivwtD4lr+XA+sONv7iSOZX9IbfvwGPHNTDCgQ2IX1c7nbOWleIfxuJnIWmVYXjU4gTdsSyikomZD/1RmlyJBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T12:22:31.388140Z"},"content_sha256":"279def406e59f6fb65c57ff21d892dc63b3b1f10ee2a7877ffa9ae6e2c35b73b","schema_version":"1.0","event_id":"sha256:279def406e59f6fb65c57ff21d892dc63b3b1f10ee2a7877ffa9ae6e2c35b73b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DCY5VDLU3YJ332MLPK4QXSKD4B/bundle.json","state_url":"https://pith.science/pith/DCY5VDLU3YJ332MLPK4QXSKD4B/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DCY5VDLU3YJ332MLPK4QXSKD4B/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":"2026-05-27T12:22:31Z","links":{"resolver":"https://pith.science/pith/DCY5VDLU3YJ332MLPK4QXSKD4B","bundle":"https://pith.science/pith/DCY5VDLU3YJ332MLPK4QXSKD4B/bundle.json","state":"https://pith.science/pith/DCY5VDLU3YJ332MLPK4QXSKD4B/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DCY5VDLU3YJ332MLPK4QXSKD4B/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:DCY5VDLU3YJ332MLPK4QXSKD4B","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":"0d4f03eb123e8edb0550ef7cf0330bd6950b1831f5cdb7f1f43949578eb80afb","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-26T01:40:36Z","title_canon_sha256":"b562b11d568280a0d759917cfff98f1948494949770301c4e4afcc2688f8b0b6"},"schema_version":"1.0","source":{"id":"2605.26434","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.26434","created_at":"2026-05-27T01:05:17Z"},{"alias_kind":"arxiv_version","alias_value":"2605.26434v1","created_at":"2026-05-27T01:05:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.26434","created_at":"2026-05-27T01:05:17Z"},{"alias_kind":"pith_short_12","alias_value":"DCY5VDLU3YJ3","created_at":"2026-05-27T01:05:17Z"},{"alias_kind":"pith_short_16","alias_value":"DCY5VDLU3YJ332ML","created_at":"2026-05-27T01:05:17Z"},{"alias_kind":"pith_short_8","alias_value":"DCY5VDLU","created_at":"2026-05-27T01:05:17Z"}],"graph_snapshots":[{"event_id":"sha256:279def406e59f6fb65c57ff21d892dc63b3b1f10ee2a7877ffa9ae6e2c35b73b","target":"graph","created_at":"2026-05-27T01:05:17Z","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/2605.26434/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"EEG foundation models, pre-trained on large-scale unlabelled EEG data, have emerged as a promising direction towards learning generalizable EEG representations. Despite showing positive results in data-rich regimes, they often fail to outperform significantly smaller supervised models in low-resource settings compared to fully supervised models. We provide a mechanistic account of this shortcoming, attributing it to a fundamental mismatch between reconstruction-based pretext tasks and the idiosyncratic spectral structure of EEG signals, which decompose into distinct high-power aperiodic and lo","authors_text":"Aditya Kommineni, Andreas Peter Juhl Hansen, Emily Zhou, Jeppe Roden M\\\"unster, Kleanthis Avramidis, Richard Leahy, Shrikanth Narayanan, Simon Bock Segaard, Takfarinas Medani, Tiantian Feng","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-26T01:40:36Z","title":"Aperiodic and Low-Frequency Spectral Bias in Reconstruction based EEG Foundation Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.26434","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":"sha256:228379a3eb77570204728daa55a70c7bfd804d5e93cf5033bda91a129125e751","target":"record","created_at":"2026-05-27T01:05:17Z","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":"0d4f03eb123e8edb0550ef7cf0330bd6950b1831f5cdb7f1f43949578eb80afb","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-26T01:40:36Z","title_canon_sha256":"b562b11d568280a0d759917cfff98f1948494949770301c4e4afcc2688f8b0b6"},"schema_version":"1.0","source":{"id":"2605.26434","kind":"arxiv","version":1}},"canonical_sha256":"18b1da8d74de13bde98b7ab90bc943e046e4075a307f3cbaa44363e8cd83bffb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"18b1da8d74de13bde98b7ab90bc943e046e4075a307f3cbaa44363e8cd83bffb","first_computed_at":"2026-05-27T01:05:17.835378Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-27T01:05:17.835378Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"n6LtmcIS4AtqfM+3Eg4b797q62DaCVhevc4Uy6CaNo2YRO0x0zptxfaZ1DE4uf9ms0fNwaa8Kc5GcFLXIQkWCg==","signature_status":"signed_v1","signed_at":"2026-05-27T01:05:17.836156Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.26434","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:228379a3eb77570204728daa55a70c7bfd804d5e93cf5033bda91a129125e751","sha256:279def406e59f6fb65c57ff21d892dc63b3b1f10ee2a7877ffa9ae6e2c35b73b"],"state_sha256":"06da087bfb11dbd262b07cf4f885bf7ccf986b2da6c3d00f08a6e2320a999009"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"K2MM6YnVDwZUnSz9lB8t1iian4HpZ+U+lQQE6aB5nPVpBKIXcPytd8P0TTGTMD6xxZNxcynKKKmtzB9E1zDYCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T12:22:31.391554Z","bundle_sha256":"56a74ddd14df41b98a21649e307a029871ee42fc64e3595e2035449c3694b032"}}