pith:IZLFCKOU
How to Steal Reasoning Without Reasoning Traces
Trace inversion models recover detailed reasoning traces from only the inputs and final answers of black-box LLMs.
arxiv:2603.07267 v2 · 2026-03-07 · cs.CR
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\usepackage{pith}
\pithnumber{IZLFCKOURXF3CPLJXCFIVOG3U6}
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Record completeness
Claims
fine-tuning student models on inverted traces substantially improves their reasoning and enables distillation from proprietary, black-box LLMs.
That synthetic traces generated without ground-truth reasoning are of high enough quality to transfer genuine reasoning improvements when used for fine-tuning.
Trace inversion models reconstruct detailed reasoning traces from limited LLM outputs and enable effective distillation of reasoning capabilities from black-box models.
Receipt and verification
| First computed | 2026-05-18T03:10:03.490013Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
46565129d48dcbb13d69b88a8ab8dba78668afe90f3695aab41864c8b54bec16
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IZLFCKOURXF3CPLJXCFIVOG3U6 \
| 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: 46565129d48dcbb13d69b88a8ab8dba78668afe90f3695aab41864c8b54bec16
Canonical record JSON
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"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CR",
"submitted_at": "2026-03-07T15:50:44Z",
"title_canon_sha256": "3011d1f601d3887f7b951b493f609c114cd1a2333951a9f2181ad924518d96d9"
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"source": {
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"kind": "arxiv",
"version": 2
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