pith:3GABHT2C
Augmented Language Models: a Survey
Augmented language models combine reasoning and tool use to address traditional LM limits on interpretability, consistency, and scalability.
arxiv:2302.07842 v1 · 2023-02-15 · cs.CL
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\pithnumber{3GABHT2CFF5TYFMGM3UVNPT6U5}
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Record completeness
Claims
this new research direction has the potential to address common limitations of traditional LMs such as interpretability, consistency, and scalability issues.
That the reviewed augmentations with reasoning and tools will demonstrably improve interpretability, consistency, and scalability in practice, as implied by the synthesis of existing works.
Augmented language models combine reasoning and tool-calling abilities with standard language modeling to improve performance on complex tasks while retaining core capabilities.
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Receipt and verification
| First computed | 2026-05-17T23:38:49.339970Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d98013cf42297b3c158666e956be7ea74fcaeef5b6afb15b644c3746d5b2ae37
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3GABHT2CFF5TYFMGM3UVNPT6U5 \
| 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: d98013cf42297b3c158666e956be7ea74fcaeef5b6afb15b644c3746d5b2ae37
Canonical record JSON
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