{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:HHGLICAK3I4SD5C4QVC6SD5QAL","short_pith_number":"pith:HHGLICAK","canonical_record":{"source":{"id":"1710.01821","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-10-04T22:53:58Z","cross_cats_sorted":["cs.IT","math.IT"],"title_canon_sha256":"2aff53b1f4b968ae91688a36e49823e5b29f996bd12f4806e491ba4a15b31084","abstract_canon_sha256":"ebe190fd5bb80cb2140697926a40379ac21496d020f52af959574469570251db"},"schema_version":"1.0"},"canonical_sha256":"39ccb4080ada3921f45c8545e90fb002c047a68e7d841f662a031646bdf35964","source":{"kind":"arxiv","id":"1710.01821","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1710.01821","created_at":"2026-05-18T00:29:36Z"},{"alias_kind":"arxiv_version","alias_value":"1710.01821v4","created_at":"2026-05-18T00:29:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1710.01821","created_at":"2026-05-18T00:29:36Z"},{"alias_kind":"pith_short_12","alias_value":"HHGLICAK3I4S","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_16","alias_value":"HHGLICAK3I4SD5C4","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_8","alias_value":"HHGLICAK","created_at":"2026-05-18T12:31:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:HHGLICAK3I4SD5C4QVC6SD5QAL","target":"record","payload":{"canonical_record":{"source":{"id":"1710.01821","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-10-04T22:53:58Z","cross_cats_sorted":["cs.IT","math.IT"],"title_canon_sha256":"2aff53b1f4b968ae91688a36e49823e5b29f996bd12f4806e491ba4a15b31084","abstract_canon_sha256":"ebe190fd5bb80cb2140697926a40379ac21496d020f52af959574469570251db"},"schema_version":"1.0"},"canonical_sha256":"39ccb4080ada3921f45c8545e90fb002c047a68e7d841f662a031646bdf35964","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:29:36.646151Z","signature_b64":"yxyKneckWQsrzW4P8BWJ9Cyk+jF2UkUnepD4VxHUot2b87/0RyzT5Q78ab5gbPeX1CDWDkiOkifvzzj6XJ5hBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"39ccb4080ada3921f45c8545e90fb002c047a68e7d841f662a031646bdf35964","last_reissued_at":"2026-05-18T00:29:36.645400Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:29:36.645400Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1710.01821","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:29:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iQyavoD7EjF7RawleXC7ER2tS5JRbftZjIUtIhOESAM0FAvF/zBmerBV/xjWeQJJv092uakKQF8Nq0Xv2kvoCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T06:17:11.163650Z"},"content_sha256":"ccb901a48bc4a6fbd9542dec8da3bc08491e4d2506809b7e2e328d9cc6ead350","schema_version":"1.0","event_id":"sha256:ccb901a48bc4a6fbd9542dec8da3bc08491e4d2506809b7e2e328d9cc6ead350"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:HHGLICAK3I4SD5C4QVC6SD5QAL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Classification of Local Field Potentials using Gaussian Sequence Model","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.IT","math.IT"],"primary_cat":"stat.ME","authors_text":"Bijan Pesaran, Demba Ba, John Choi, Taposh Banerjee, Vahid Tarokh","submitted_at":"2017-10-04T22:53:58Z","abstract_excerpt":"A problem of classification of local field potentials (LFPs), recorded from the prefrontal cortex of a macaque monkey, is considered. An adult macaque monkey is trained to perform a memory-based saccade. The objective is to decode the eye movement goals from the LFP collected during a memory period. The LFP classification problem is modeled as that of classification of smooth functions embedded in Gaussian noise. It is then argued that using minimax function estimators as features would lead to consistent LFP classifiers. The theory of Gaussian sequence models allows us to represent minimax es"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1710.01821","kind":"arxiv","version":4},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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":"2026-05-18T00:29:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8riLxUQYrrYQESv4RGzdDRnV4jf49hR6FDmO+yMhZ3CC1pvrqiJ3geh3mcaGV4j0aL9aK4g7GjyCgASLxptXAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T06:17:11.164082Z"},"content_sha256":"76593ba8b357e1c07e0e873cf4e96d41c5ce8da877955cad1a7736b54623afb7","schema_version":"1.0","event_id":"sha256:76593ba8b357e1c07e0e873cf4e96d41c5ce8da877955cad1a7736b54623afb7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HHGLICAK3I4SD5C4QVC6SD5QAL/bundle.json","state_url":"https://pith.science/pith/HHGLICAK3I4SD5C4QVC6SD5QAL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HHGLICAK3I4SD5C4QVC6SD5QAL/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":"2026-05-25T06:17:11Z","links":{"resolver":"https://pith.science/pith/HHGLICAK3I4SD5C4QVC6SD5QAL","bundle":"https://pith.science/pith/HHGLICAK3I4SD5C4QVC6SD5QAL/bundle.json","state":"https://pith.science/pith/HHGLICAK3I4SD5C4QVC6SD5QAL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HHGLICAK3I4SD5C4QVC6SD5QAL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:HHGLICAK3I4SD5C4QVC6SD5QAL","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":"ebe190fd5bb80cb2140697926a40379ac21496d020f52af959574469570251db","cross_cats_sorted":["cs.IT","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-10-04T22:53:58Z","title_canon_sha256":"2aff53b1f4b968ae91688a36e49823e5b29f996bd12f4806e491ba4a15b31084"},"schema_version":"1.0","source":{"id":"1710.01821","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1710.01821","created_at":"2026-05-18T00:29:36Z"},{"alias_kind":"arxiv_version","alias_value":"1710.01821v4","created_at":"2026-05-18T00:29:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1710.01821","created_at":"2026-05-18T00:29:36Z"},{"alias_kind":"pith_short_12","alias_value":"HHGLICAK3I4S","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_16","alias_value":"HHGLICAK3I4SD5C4","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_8","alias_value":"HHGLICAK","created_at":"2026-05-18T12:31:18Z"}],"graph_snapshots":[{"event_id":"sha256:76593ba8b357e1c07e0e873cf4e96d41c5ce8da877955cad1a7736b54623afb7","target":"graph","created_at":"2026-05-18T00:29:36Z","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"},"paper":{"abstract_excerpt":"A problem of classification of local field potentials (LFPs), recorded from the prefrontal cortex of a macaque monkey, is considered. An adult macaque monkey is trained to perform a memory-based saccade. The objective is to decode the eye movement goals from the LFP collected during a memory period. The LFP classification problem is modeled as that of classification of smooth functions embedded in Gaussian noise. It is then argued that using minimax function estimators as features would lead to consistent LFP classifiers. The theory of Gaussian sequence models allows us to represent minimax es","authors_text":"Bijan Pesaran, Demba Ba, John Choi, Taposh Banerjee, Vahid Tarokh","cross_cats":["cs.IT","math.IT"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-10-04T22:53:58Z","title":"Classification of Local Field Potentials using Gaussian Sequence Model"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1710.01821","kind":"arxiv","version":4},"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:ccb901a48bc4a6fbd9542dec8da3bc08491e4d2506809b7e2e328d9cc6ead350","target":"record","created_at":"2026-05-18T00:29:36Z","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":"ebe190fd5bb80cb2140697926a40379ac21496d020f52af959574469570251db","cross_cats_sorted":["cs.IT","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-10-04T22:53:58Z","title_canon_sha256":"2aff53b1f4b968ae91688a36e49823e5b29f996bd12f4806e491ba4a15b31084"},"schema_version":"1.0","source":{"id":"1710.01821","kind":"arxiv","version":4}},"canonical_sha256":"39ccb4080ada3921f45c8545e90fb002c047a68e7d841f662a031646bdf35964","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"39ccb4080ada3921f45c8545e90fb002c047a68e7d841f662a031646bdf35964","first_computed_at":"2026-05-18T00:29:36.645400Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:29:36.645400Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"yxyKneckWQsrzW4P8BWJ9Cyk+jF2UkUnepD4VxHUot2b87/0RyzT5Q78ab5gbPeX1CDWDkiOkifvzzj6XJ5hBg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:29:36.646151Z","signed_message":"canonical_sha256_bytes"},"source_id":"1710.01821","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ccb901a48bc4a6fbd9542dec8da3bc08491e4d2506809b7e2e328d9cc6ead350","sha256:76593ba8b357e1c07e0e873cf4e96d41c5ce8da877955cad1a7736b54623afb7"],"state_sha256":"75c99d2302a1c37d2b6ba6c26c32a45db14cbb2f5664ca10b50cf071ba2d6a0a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nLOWL3AyGUKZgAhv9T9lK8daxXY5R3Y4eJEEwh9tO9rQM7zNejpLVCZf6SDYXFdXHgVfuRVXwKAp6rZRltJiAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T06:17:11.167008Z","bundle_sha256":"b19b79bbbe514a4e0068e4dc8f239f976eb71b2fe9a8bcdad41b57db6da82d1a"}}