Pith Number

pith:T2GHZOD6

pith:2026:T2GHZOD6FHM5G6OEHHZBLBW6F7

not attested not anchored not stored refs pending

Skill Retrieval Augmentation for Agentic AI

Changyue Wang, Jianming Long, Qingyao Ai, Weihang Su, Yichen Tang, Yiqun Liu, Yiteng Tu

Dynamic retrieval of skills from large external corpora can substantially improve LLM agent performance on hard tasks, though agents load skills at similar rates whether the retrieved skill is relevant or needed at all.

arxiv:2604.24594 v2 · 2026-04-27 · cs.CL · cs.AI

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3 Author claim open · sign in to claim

4 Citations open

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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

retrieval-based skill augmentation can substantially improve agent performance, validating the promise of the paradigm. At the same time, we uncover a fundamental gap in skill incorporation: current LLM agents tend to load skills at similar rates, regardless of whether a gold skill is retrieved or whether the task actually requires external capabilities.

C2weakest assumption

That the manually constructed gold skills and web-collected distractors in SRA-Bench form a realistic and representative test of real-world agent skill use, and that the observed loading rates generalize beyond the specific models and tasks tested.

C3one line summary

Agents improve when they retrieve skills on demand from large corpora, yet current models cannot selectively decide when to load or ignore a retrieved skill.

Cited by

2 papers in Pith

A Comprehensive Survey on Agent Skills: Taxonomy, Techniques, and Applications

Enhancing Judgment Document Generation via Agentic Legal Information Collection and Rubric-Guided Optimization

Receipt and verification

First computed	2026-05-25T02:01:21.040455Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

9e8c7cb87e29d9d379c439f21586de2fd85a5151712742154ca730d618b8cff6

Aliases

arxiv: 2604.24594 · arxiv_version: 2604.24594v2 · doi: 10.48550/arxiv.2604.24594 · pith_short_12: T2GHZOD6FHM5 · pith_short_16: T2GHZOD6FHM5G6OE · pith_short_8: T2GHZOD6

Agent API

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/T2GHZOD6FHM5G6OEHHZBLBW6F7 \
  | 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: 9e8c7cb87e29d9d379c439f21586de2fd85a5151712742154ca730d618b8cff6

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "bece671e8d7d28d9d0a6814a2f86b6b67459f7f23e0992063f6602437343cbd9",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://creativecommons.org/licenses/by-sa/4.0/",
    "primary_cat": "cs.CL",
    "submitted_at": "2026-04-27T15:19:59Z",
    "title_canon_sha256": "7e41199b59517a99ed06a422e09dd4c9cffaf2c530f27bfe6f5a0f16f5fb781a"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2604.24594",
    "kind": "arxiv",
    "version": 2
  }
}