Pith Number

pith:RONT2KKF

pith:2025:RONT2KKFZHU76B46F7T5UHUHEM

not attested not anchored not stored refs pending

Revisiting the Reliability of Language Models in Instruction-Following

Chao Zhang, Han Qiu, Jianshuo Dong, Tao Wei, Yan Liu, Yutong Zhang, Zhenyu Zhong

Language models lose up to 61.8 percent instruction-following accuracy on prompts with subtle phrasing changes that preserve intent.

arxiv:2512.14754 v3 · 2025-12-15 · cs.SE · cs.AI · cs.CL

Open paper page JSON Open Graph Bundle Merged state Verified badge What is a Pith Number?

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{RONT2KKFZHU76B46F7T5UHUHEM}

Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge

Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ Portable graph bundle live · download bundle · merged state

The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

Across 20 proprietary and 26 open-source LLMs, we find that current models exhibit substantial insufficiency in nuance-oriented reliability -- their performance can drop by up to 61.8% with nuanced prompt modifications.

C2weakest assumption

The automated data-augmentation pipeline produces cousin prompts that preserve the original user intent without changing task difficulty or introducing new ambiguities.

C3one line summary

LLMs exhibit up to 61.8% performance drops on nuanced rephrasings of instruction-following tasks, revealing insufficient nuance-oriented reliability across 46 tested models.

Receipt and verification

First computed	2026-05-29T02:05:38.447274Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

8b9b3d2945c9e9ff079e2fe7da1e87231b1956fdff36323a959ef49730d3f32b

Aliases

arxiv: 2512.14754 · arxiv_version: 2512.14754v3 · doi: 10.48550/arxiv.2512.14754 · pith_short_12: RONT2KKFZHU7 · pith_short_16: RONT2KKFZHU76B46 · pith_short_8: RONT2KKF

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/RONT2KKFZHU76B46F7T5UHUHEM \
  | 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: 8b9b3d2945c9e9ff079e2fe7da1e87231b1956fdff36323a959ef49730d3f32b

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "439cecdcc9d89c3b7ad203b555265245bf7fa4646bf758b43ac25786662b6095",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.CL"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.SE",
    "submitted_at": "2025-12-15T02:57:55Z",
    "title_canon_sha256": "a2c143534b0c446e7849a4155294f2a6c053239c299f007027ad28a799469333"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2512.14754",
    "kind": "arxiv",
    "version": 3
  }
}