Pith. sign in
Pith Number

pith:RLANLBN6

pith:2026:RLANLBN6KN7DYR54HUUMUZL6Y6
not attested not anchored not stored refs pending

CogEEGAgent: Toward Autonomous Cognitive EEG Analysis with Grounded Execution and Selection-Aware Verification

Dengzhe Hou, Fangzhou Lin, Kazunori D Yamada, Lingyu Jiang

arxiv:2607.25045 v1 · 2026-07-27 · cs.AI · eess.SP · q-bio.NC

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{RLANLBN6KN7DYR54HUUMUZL6Y6}

Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge

Record completeness

1 Bitcoin timestamp
2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
Portable graph bundle live · download bundle · merged state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.
Receipt and verification
First computed 2026-07-29T00:24:59.682216Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

8ac0d585be537e3c47bc3d28ca657ec793a44e30fee2d0d2a03077a602fa5fab

Aliases

arxiv: 2607.25045 · arxiv_version: 2607.25045v1 · doi: 10.48550/arxiv.2607.25045 · pith_short_12: RLANLBN6KN7D · pith_short_16: RLANLBN6KN7DYR54 · pith_short_8: RLANLBN6
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RLANLBN6KN7DYR54HUUMUZL6Y6 \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 8ac0d585be537e3c47bc3d28ca657ec793a44e30fee2d0d2a03077a602fa5fab
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "7dfa3f01721fa147be13cd71cf4d3b2076de05c03fbaa7fae9e6f9388c267722",
    "cross_cats_sorted": [
      "eess.SP",
      "q-bio.NC"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2026-07-27T20:09:05Z",
    "title_canon_sha256": "a0c67af04f0155edf3e8be0dfa600ffaacf290d4eed5ed42372437e80f2da1e6"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2607.25045",
    "kind": "arxiv",
    "version": 1
  }
}