{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:W4JTNHQ4YEKDTCYSDSVIFPLXXR","short_pith_number":"pith:W4JTNHQ4","canonical_record":{"source":{"id":"2402.18023","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-02-28T03:38:20Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"4d29aa3408a2b80bfb2e7c141b6c01288f71214eed93032856c6a274b70ce14e","abstract_canon_sha256":"9c7dc35e0b03394f35617840c1ad5bf3a8a6f5a1d4db1378a97ea858298db39b"},"schema_version":"1.0"},"canonical_sha256":"b713369e1cc114398b121caa82bd77bc4a951e05fa66348093a3e8c1937d183a","source":{"kind":"arxiv","id":"2402.18023","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.18023","created_at":"2026-07-05T10:01:11Z"},{"alias_kind":"arxiv_version","alias_value":"2402.18023v3","created_at":"2026-07-05T10:01:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.18023","created_at":"2026-07-05T10:01:11Z"},{"alias_kind":"pith_short_12","alias_value":"W4JTNHQ4YEKD","created_at":"2026-07-05T10:01:11Z"},{"alias_kind":"pith_short_16","alias_value":"W4JTNHQ4YEKDTCYS","created_at":"2026-07-05T10:01:11Z"},{"alias_kind":"pith_short_8","alias_value":"W4JTNHQ4","created_at":"2026-07-05T10:01:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:W4JTNHQ4YEKDTCYSDSVIFPLXXR","target":"record","payload":{"canonical_record":{"source":{"id":"2402.18023","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-02-28T03:38:20Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"4d29aa3408a2b80bfb2e7c141b6c01288f71214eed93032856c6a274b70ce14e","abstract_canon_sha256":"9c7dc35e0b03394f35617840c1ad5bf3a8a6f5a1d4db1378a97ea858298db39b"},"schema_version":"1.0"},"canonical_sha256":"b713369e1cc114398b121caa82bd77bc4a951e05fa66348093a3e8c1937d183a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:01:11.867093Z","signature_b64":"sG3IgUlpevzCJA3572Q27eHCxMIvg0otMr/Mlj/LBAqGL3ouGIJwy2vgfAWjvuFirhUE8/31SdN1bO+jKs0mAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b713369e1cc114398b121caa82bd77bc4a951e05fa66348093a3e8c1937d183a","last_reissued_at":"2026-07-05T10:01:11.866668Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:01:11.866668Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2402.18023","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:01:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SOH96zhnpVcg7j1i8E2RrF7l29wAGArjoluyEznAAxisTPeXMKFtHxB4McqlGdRTXjrFq7if5pcwyfKEp3izAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T05:41:21.616617Z"},"content_sha256":"1cf2bb484288bf96e39ebc5be7dd8a29d60878cb453f7f4e8c4298db652f3852","schema_version":"1.0","event_id":"sha256:1cf2bb484288bf96e39ebc5be7dd8a29d60878cb453f7f4e8c4298db652f3852"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:W4JTNHQ4YEKDTCYSDSVIFPLXXR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Do Large Language Models Mirror Cognitive Language Processing?","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.AI","authors_text":"Deyi Xiong, Renren Jin, Tongxuan Zhang, Yuqi Ren","submitted_at":"2024-02-28T03:38:20Z","abstract_excerpt":"Large Language Models (LLMs) have demonstrated remarkable abilities in text comprehension and logical reasoning, indicating that the text representations learned by LLMs can facilitate their language processing capabilities. In neuroscience, brain cognitive processing signals are typically utilized to study human language processing. Therefore, it is natural to ask how well the text embeddings from LLMs align with the brain cognitive processing signals, and how training strategies affect the LLM-brain alignment? In this paper, we employ Representational Similarity Analysis (RSA) to measure the"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.18023","kind":"arxiv","version":3},"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/2402.18023/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":"2026-07-05T10:01:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"V6fdo6i9FGdhFsxGUHx1q59tsoo+K5jhyxDlRe6nqO6lUq5DYfyzu/a63gcWDjfJb2DUTF9qzRBTdQscU+LHCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T05:41:21.617159Z"},"content_sha256":"324150efb930d409cf18c654c1384667d25688c4cd1b7bd96bd4b7c4c8201f43","schema_version":"1.0","event_id":"sha256:324150efb930d409cf18c654c1384667d25688c4cd1b7bd96bd4b7c4c8201f43"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/W4JTNHQ4YEKDTCYSDSVIFPLXXR/bundle.json","state_url":"https://pith.science/pith/W4JTNHQ4YEKDTCYSDSVIFPLXXR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/W4JTNHQ4YEKDTCYSDSVIFPLXXR/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":"2026-08-10T05:41:21Z","links":{"resolver":"https://pith.science/pith/W4JTNHQ4YEKDTCYSDSVIFPLXXR","bundle":"https://pith.science/pith/W4JTNHQ4YEKDTCYSDSVIFPLXXR/bundle.json","state":"https://pith.science/pith/W4JTNHQ4YEKDTCYSDSVIFPLXXR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/W4JTNHQ4YEKDTCYSDSVIFPLXXR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:W4JTNHQ4YEKDTCYSDSVIFPLXXR","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":"9c7dc35e0b03394f35617840c1ad5bf3a8a6f5a1d4db1378a97ea858298db39b","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-02-28T03:38:20Z","title_canon_sha256":"4d29aa3408a2b80bfb2e7c141b6c01288f71214eed93032856c6a274b70ce14e"},"schema_version":"1.0","source":{"id":"2402.18023","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.18023","created_at":"2026-07-05T10:01:11Z"},{"alias_kind":"arxiv_version","alias_value":"2402.18023v3","created_at":"2026-07-05T10:01:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.18023","created_at":"2026-07-05T10:01:11Z"},{"alias_kind":"pith_short_12","alias_value":"W4JTNHQ4YEKD","created_at":"2026-07-05T10:01:11Z"},{"alias_kind":"pith_short_16","alias_value":"W4JTNHQ4YEKDTCYS","created_at":"2026-07-05T10:01:11Z"},{"alias_kind":"pith_short_8","alias_value":"W4JTNHQ4","created_at":"2026-07-05T10:01:11Z"}],"graph_snapshots":[{"event_id":"sha256:324150efb930d409cf18c654c1384667d25688c4cd1b7bd96bd4b7c4c8201f43","target":"graph","created_at":"2026-07-05T10:01:11Z","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/2402.18023/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) have demonstrated remarkable abilities in text comprehension and logical reasoning, indicating that the text representations learned by LLMs can facilitate their language processing capabilities. In neuroscience, brain cognitive processing signals are typically utilized to study human language processing. Therefore, it is natural to ask how well the text embeddings from LLMs align with the brain cognitive processing signals, and how training strategies affect the LLM-brain alignment? In this paper, we employ Representational Similarity Analysis (RSA) to measure the","authors_text":"Deyi Xiong, Renren Jin, Tongxuan Zhang, Yuqi Ren","cross_cats":["cs.CL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-02-28T03:38:20Z","title":"Do Large Language Models Mirror Cognitive Language Processing?"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.18023","kind":"arxiv","version":3},"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":"sha256:1cf2bb484288bf96e39ebc5be7dd8a29d60878cb453f7f4e8c4298db652f3852","target":"record","created_at":"2026-07-05T10:01:11Z","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":"9c7dc35e0b03394f35617840c1ad5bf3a8a6f5a1d4db1378a97ea858298db39b","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-02-28T03:38:20Z","title_canon_sha256":"4d29aa3408a2b80bfb2e7c141b6c01288f71214eed93032856c6a274b70ce14e"},"schema_version":"1.0","source":{"id":"2402.18023","kind":"arxiv","version":3}},"canonical_sha256":"b713369e1cc114398b121caa82bd77bc4a951e05fa66348093a3e8c1937d183a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b713369e1cc114398b121caa82bd77bc4a951e05fa66348093a3e8c1937d183a","first_computed_at":"2026-07-05T10:01:11.866668Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:01:11.866668Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"sG3IgUlpevzCJA3572Q27eHCxMIvg0otMr/Mlj/LBAqGL3ouGIJwy2vgfAWjvuFirhUE8/31SdN1bO+jKs0mAg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:01:11.867093Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.18023","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1cf2bb484288bf96e39ebc5be7dd8a29d60878cb453f7f4e8c4298db652f3852","sha256:324150efb930d409cf18c654c1384667d25688c4cd1b7bd96bd4b7c4c8201f43"],"state_sha256":"0f225813a8a34e7ae14f6abacd1787709a69cddca8aa244cf97d06a854bc5413"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AgBId9q3TjVFGcOF/NT8l2eth0Jd585MLe84j7NOLU8FOnBs1qMBb9oPlrAiyyPyO2pa7yO1qxx410uhu4tLAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T05:41:21.622491Z","bundle_sha256":"94b991f2b48c772e2926fa592fadc3abcd721372ced3f373b6edcdbb713d46a1"}}