pith:LD45Q32X
Probing Spectrum-Like Organization of States of Mind in Transformer Representation Spaces
Transformer embeddings recover annotated cognitive energy scores and seven-tier labels above chance
arxiv:2512.22227 v3 · 2025-12-23 · cs.CL · cs.LG
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\usepackage{pith}
\pithnumber{LD45Q32XXKEKISXTASJVSEPG46}
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Record completeness
Claims
transformer embedding spaces exhibit statistically significant geometric organization aligned with the annotated cognitive structure.
The human annotations of energy scores and seven-tier cognitive progression accurately capture stable, human-interpretable cognitive attributes rather than surface linguistic features or annotator bias.
Transformer sentence embeddings linearly recover continuous energy scores and seven-tier cognitive labels from 480 annotated sentences, with UMAP showing a coherent low-to-high gradient.
Formal links
Receipt and verification
| First computed | 2026-07-03T01:16:50.632579Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
58f9d86f57ba88a44af304935911e6e7ae738cc43df6ad21c0cae6aa41b4c522
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LD45Q32XXKEKISXTASJVSEPG46 \
| 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: 58f9d86f57ba88a44af304935911e6e7ae738cc43df6ad21c0cae6aa41b4c522
Canonical record JSON
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