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pith:NJMH7MRS

pith:2025:NJMH7MRSU4UYKWVTWJ5PROJIUP
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Asynchronous Reasoning: Training-Free Interactive Thinking LLMs

Alina Shutova, Denis Kuznedelev, George Yakushev, Masoud Vahid Dastgerdi, Max Ryabinin, Nataliia Babina, Vyacheslav Zhdanovskiy

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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3 Author claim open · sign in to claim
4 Citations open
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Claims

C1strongest claim

Our method uses the properties of positional embeddings to enable LLMs built for sequential generation to simultaneously think, listen, and write outputs.

C2weakest assumption

That altering the handling of positional embeddings preserves the model's original reasoning accuracy and does not introduce generation inconsistencies or hallucinations.

C3one line summary

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.

References

28 extracted · 28 resolved · 12 Pith anchors

[1] Beeching, E., Tunstall, L., and Rush, S 2024 · doi:10.1016/j.mlwa.2024.100570
[2] Moshi: a speech-text foundation model for real-time dialogue 2023 · doi:10.1121/1.1906946
[3] URL https: //doi.org/10.1038/s41598-025-98378-1 2023 · doi:10.1038/s41598-025-98378-1
[4] Nature645(8081), 633–638 (2025) https://doi.org/10.1038/s41586-025-09422-z 2025 · doi:10.1038/s41586-025-09422-z
[5] Humanity's Last Exam 2025 · doi:10.48550/arxiv.2501.14249

Formal links

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Receipt and verification
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

Aliases

arxiv: 2512.10931 · arxiv_version: 2512.10931v3 · doi: 10.48550/arxiv.2512.10931 · pith_short_12: NJMH7MRSU4UY · pith_short_16: NJMH7MRSU4UYKWVT · pith_short_8: NJMH7MRS
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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    "license": "http://creativecommons.org/licenses/by/4.0/",
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    "submitted_at": "2025-12-11T18:57:02Z",
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