pith:XS6AJHG4
Polaris: A G\"odel Agent Framework for Small Language Models through Experience-Abstracted Policy Repair
A 7B model improves its policy on unseen reasoning tasks by abstracting failures into compact reusable code patches.
arxiv:2603.23129 v2 · 2026-03-24 · cs.LG
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Record completeness
Claims
On MGSM, DROP, GPQA, and LitBench, a 7-billion-parameter model equipped with Polaris achieves consistent gains over the base policy and competitive baselines.
That experience abstraction reliably produces compact strategies that transfer to unseen instances and that the minimal code patches improve performance without introducing regressions on other tasks.
Polaris enables small LLMs to achieve recursive self-improvement by abstracting failure experiences into reusable policy patches that transfer across benchmark instances.
References
Formal links
Receipt and verification
| First computed | 2026-05-17T23:39:15.697357Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
bcbc049cdc0dcdf55585031b73dd087337a17c718f6e2b68c36875aa4e2d8afb
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XS6AJHG4BXG7KVMFAMNXHXIIOM \
| 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: bcbc049cdc0dcdf55585031b73dd087337a17c718f6e2b68c36875aa4e2d8afb
Canonical record JSON
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