pith:4SJQMRSF
Polar probe linearly decodes semantic structures from LLMs
Large language models encode the existence and type of semantic relations as distance and direction between embeddings in a linear subspace of their activations.
arxiv:2605.14125 v1 · 2026-05-13 · cs.CL
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Record completeness
Claims
the true semantic structures can be linearly recovered with a Polar Probe targeting a subspace of LLMs' layer activations
that the distance-direction geometry is the actual causal mechanism used by the model rather than a convenient post-hoc linear fit that happens to correlate with task performance
LLMs bind semantic relations via polar geometry in embeddings, linearly decodable from middle layers with generalization to new items.
References
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Receipt and verification
| First computed | 2026-05-17T23:39:11.856493Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e493064645b56477b35df8303042e4330787816c638d00ace3bd6ef331af8b11
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4SJQMRSFWVSHPM257AYDAQXEGM \
| 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: e493064645b56477b35df8303042e4330787816c638d00ace3bd6ef331af8b11
Canonical record JSON
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