{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:YKSXVIV4RQER3OMLNJUFDGRTSM","short_pith_number":"pith:YKSXVIV4","canonical_record":{"source":{"id":"2602.17229","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-02-19T10:19:04Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"91b33a28e167550183d68ba8808371b12fc846c0fa83f2a1307be2e5774f629d","abstract_canon_sha256":"f60db8eea7e74d8d212069167f9ea8f91e7e203b522891c2fedc2921049bfac6"},"schema_version":"1.0"},"canonical_sha256":"c2a57aa2bc8c091db98b6a68519a33930f8951d11819eb77019d5a7a673aa580","source":{"kind":"arxiv","id":"2602.17229","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.17229","created_at":"2026-07-20T01:18:27Z"},{"alias_kind":"arxiv_version","alias_value":"2602.17229v2","created_at":"2026-07-20T01:18:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.17229","created_at":"2026-07-20T01:18:27Z"},{"alias_kind":"pith_short_12","alias_value":"YKSXVIV4RQER","created_at":"2026-07-20T01:18:27Z"},{"alias_kind":"pith_short_16","alias_value":"YKSXVIV4RQER3OML","created_at":"2026-07-20T01:18:27Z"},{"alias_kind":"pith_short_8","alias_value":"YKSXVIV4","created_at":"2026-07-20T01:18:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:YKSXVIV4RQER3OMLNJUFDGRTSM","target":"record","payload":{"canonical_record":{"source":{"id":"2602.17229","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-02-19T10:19:04Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"91b33a28e167550183d68ba8808371b12fc846c0fa83f2a1307be2e5774f629d","abstract_canon_sha256":"f60db8eea7e74d8d212069167f9ea8f91e7e203b522891c2fedc2921049bfac6"},"schema_version":"1.0"},"canonical_sha256":"c2a57aa2bc8c091db98b6a68519a33930f8951d11819eb77019d5a7a673aa580","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-20T01:18:27.572540Z","signature_b64":"iiTcvFfYUVikxsCtcozh4siIG95QP6COf9Axb651RkCQ6MWxeOCu6qwSm0hkWs43QaNIjnvfW1f7ePqtBoZMCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c2a57aa2bc8c091db98b6a68519a33930f8951d11819eb77019d5a7a673aa580","last_reissued_at":"2026-07-20T01:18:27.571561Z","signature_status":"signed_v1","first_computed_at":"2026-07-20T01:18:27.571561Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2602.17229","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-20T01:18:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jnf2iQ89l2M3JEIRTufEXl1u1W08fO9CEY0WxJ3s3b0KwpceYlUnSFk3cOPyXn6YiUzss0Lma+kUIBe31PFJDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T04:47:48.178832Z"},"content_sha256":"0dd55ba304953677b0a7dc4a131a6c821cb756558eb4ec7dcc92b4fafd049892","schema_version":"1.0","event_id":"sha256:0dd55ba304953677b0a7dc4a131a6c821cb756558eb4ec7dcc92b4fafd049892"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:YKSXVIV4RQER3OMLNJUFDGRTSM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Mechanistic Interpretability of Cognitive Complexity in LLMs via Linear Probing using Bloom's Taxonomy","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.AI","authors_text":"Bianca Raimondi, Maurizio Gabbrielli","submitted_at":"2026-02-19T10:19:04Z","abstract_excerpt":"The black-box nature of Large Language Models necessitates novel evaluation frameworks that transcend surface-level performance metrics. This study investigates the internal neural representations of cognitive complexity using Bloom's Taxonomy as a hierarchical lens. By analyzing high-dimensional activation vectors from different LLMs, we probe whether different cognitive levels, ranging from basic recall (Remember) to abstract synthesis (Create), are linearly separable within the model's residual streams. Our results demonstrate that linear classifiers achieve approximately 95% mean accuracy "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.17229","kind":"arxiv","version":2},"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/2602.17229/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":"2026-07-20T01:18:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GERzR/pf4QbCGKgeJqvB2KbxJMThAV5Wzg+vzyRYzF+2nmW1x6yrNtEerj5DrctRG3pyfzaAQc1koar+Cmm4Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T04:47:48.179370Z"},"content_sha256":"c687fd8c42365af9a86f4b81fd23819b864c5cb6f0b69aee907ab52e5106861d","schema_version":"1.0","event_id":"sha256:c687fd8c42365af9a86f4b81fd23819b864c5cb6f0b69aee907ab52e5106861d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YKSXVIV4RQER3OMLNJUFDGRTSM/bundle.json","state_url":"https://pith.science/pith/YKSXVIV4RQER3OMLNJUFDGRTSM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YKSXVIV4RQER3OMLNJUFDGRTSM/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":"2026-08-04T04:47:48Z","links":{"resolver":"https://pith.science/pith/YKSXVIV4RQER3OMLNJUFDGRTSM","bundle":"https://pith.science/pith/YKSXVIV4RQER3OMLNJUFDGRTSM/bundle.json","state":"https://pith.science/pith/YKSXVIV4RQER3OMLNJUFDGRTSM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YKSXVIV4RQER3OMLNJUFDGRTSM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:YKSXVIV4RQER3OMLNJUFDGRTSM","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":"f60db8eea7e74d8d212069167f9ea8f91e7e203b522891c2fedc2921049bfac6","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-02-19T10:19:04Z","title_canon_sha256":"91b33a28e167550183d68ba8808371b12fc846c0fa83f2a1307be2e5774f629d"},"schema_version":"1.0","source":{"id":"2602.17229","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.17229","created_at":"2026-07-20T01:18:27Z"},{"alias_kind":"arxiv_version","alias_value":"2602.17229v2","created_at":"2026-07-20T01:18:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.17229","created_at":"2026-07-20T01:18:27Z"},{"alias_kind":"pith_short_12","alias_value":"YKSXVIV4RQER","created_at":"2026-07-20T01:18:27Z"},{"alias_kind":"pith_short_16","alias_value":"YKSXVIV4RQER3OML","created_at":"2026-07-20T01:18:27Z"},{"alias_kind":"pith_short_8","alias_value":"YKSXVIV4","created_at":"2026-07-20T01:18:27Z"}],"graph_snapshots":[{"event_id":"sha256:c687fd8c42365af9a86f4b81fd23819b864c5cb6f0b69aee907ab52e5106861d","target":"graph","created_at":"2026-07-20T01:18:27Z","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/2602.17229/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The black-box nature of Large Language Models necessitates novel evaluation frameworks that transcend surface-level performance metrics. This study investigates the internal neural representations of cognitive complexity using Bloom's Taxonomy as a hierarchical lens. By analyzing high-dimensional activation vectors from different LLMs, we probe whether different cognitive levels, ranging from basic recall (Remember) to abstract synthesis (Create), are linearly separable within the model's residual streams. Our results demonstrate that linear classifiers achieve approximately 95% mean accuracy ","authors_text":"Bianca Raimondi, Maurizio Gabbrielli","cross_cats":["cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-02-19T10:19:04Z","title":"Mechanistic Interpretability of Cognitive Complexity in LLMs via Linear Probing using Bloom's Taxonomy"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.17229","kind":"arxiv","version":2},"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":"sha256:0dd55ba304953677b0a7dc4a131a6c821cb756558eb4ec7dcc92b4fafd049892","target":"record","created_at":"2026-07-20T01:18:27Z","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":"f60db8eea7e74d8d212069167f9ea8f91e7e203b522891c2fedc2921049bfac6","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-02-19T10:19:04Z","title_canon_sha256":"91b33a28e167550183d68ba8808371b12fc846c0fa83f2a1307be2e5774f629d"},"schema_version":"1.0","source":{"id":"2602.17229","kind":"arxiv","version":2}},"canonical_sha256":"c2a57aa2bc8c091db98b6a68519a33930f8951d11819eb77019d5a7a673aa580","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c2a57aa2bc8c091db98b6a68519a33930f8951d11819eb77019d5a7a673aa580","first_computed_at":"2026-07-20T01:18:27.571561Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-20T01:18:27.571561Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iiTcvFfYUVikxsCtcozh4siIG95QP6COf9Axb651RkCQ6MWxeOCu6qwSm0hkWs43QaNIjnvfW1f7ePqtBoZMCg==","signature_status":"signed_v1","signed_at":"2026-07-20T01:18:27.572540Z","signed_message":"canonical_sha256_bytes"},"source_id":"2602.17229","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0dd55ba304953677b0a7dc4a131a6c821cb756558eb4ec7dcc92b4fafd049892","sha256:c687fd8c42365af9a86f4b81fd23819b864c5cb6f0b69aee907ab52e5106861d"],"state_sha256":"e4ba18dc8a349dcddcc45660097a1fe462c9d15d886c584d8929bfa6cf1f79b7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"I0AfG7+DlRM6FseA1hh5dbNC2re49JS9/BRn9vbw9uYnI8ZZODbxw9trM8QoSnFB6ylZM/vnflD6i5IlGqNvDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T04:47:48.183433Z","bundle_sha256":"aed822fb3a116e283a9e03cacdbf5ecfcd3910b2e10bf365aaeed9edf6121d6c"}}