pith:I2CIDZGP
Escaping the BLEU Trap: A Signal-Grounded Framework with Decoupled Semantic Guidance for EEG-to-Text Decoding
SemKey grounds EEG-to-text output in neural signals by treating semantic prompts as queries and EEG embeddings as keys and values.
arxiv:2603.03312 v3 · 2026-02-09 · cs.CL · cs.AI · cs.HC · eess.AS · q-bio.NC
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\usepackage{pith}
\pithnumber{I2CIDZGPFNHMRIZ2ZDVUJBDXYF}
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Record completeness
Claims
our approach effectively eliminates hallucinations on noise inputs and achieves SOTA performance on these robust protocols
That injecting semantic prompts as queries and EEG embeddings as key-value pairs will strictly force the LLM to ground generation in neural signals rather than linguistic priors
SemKey decouples semantic objectives to ground EEG-to-text generation in neural signals, eliminating hallucinations on noise and improving results on retrieval accuracy and Fréchet distance metrics.
Formal links
Receipt and verification
| First computed | 2026-06-02T01:03:44.559729Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
468481e4cf2b4ec8a33ac8eb448477c1587aa42a141430bd3f30a0bc07aa0a06
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/I2CIDZGPFNHMRIZ2ZDVUJBDXYF \
| 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: 468481e4cf2b4ec8a33ac8eb448477c1587aa42a141430bd3f30a0bc07aa0a06
Canonical record JSON
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"submitted_at": "2026-02-09T02:47:07Z",
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