pith:NJMH7MRS
Asynchronous Reasoning: Training-Free Interactive Thinking LLMs
Modifying positional embeddings lets existing LLMs reason asynchronously while generating responses without any retraining.
arxiv:2512.10931 v3 · 2025-12-11 · cs.LG · cs.CL
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Claims
Our method uses the properties of positional embeddings to enable LLMs built for sequential generation to simultaneously think, listen, and write outputs.
That altering the handling of positional embeddings preserves the model's original reasoning accuracy and does not introduce generation inconsistencies or hallucinations.
Using properties of positional embeddings, reasoning LLMs can be made to think, listen, and generate outputs asynchronously without any additional training, cutting time to first token to under 5 seconds.
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| First computed | 2026-05-18T02:44:32.172628Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6a587fb232a729855ab3b27af8b928a3c6727a1e053c7275624bf9f53d2661e8
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· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NJMH7MRSU4UYKWVTWJ5PROJIUP \
| 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: 6a587fb232a729855ab3b27af8b928a3c6727a1e053c7275624bf9f53d2661e8
Canonical record JSON
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