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pith:TAVMBJ67

pith:2026:TAVMBJ67FGXUIJCE3RAVBUETFQ
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Evaluating Tool Cloning in Agentic-AI Ecosystems

David Jiang, Neil Gong, Taein Kim, Yuepeng Hu, Yuqi Jia

Tool cloning creates widespread hidden duplication across public agent-tool repositories.

arxiv:2605.09817 v2 · 2026-05-10 · cs.SE · cs.CR

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Claims

C1strongest claim

These results indicate that tool cloning is a pervasive and severe source of hidden duplication in agent-tool ecosystems. They further suggest that agent-tool datasets and benchmarks should account for repository provenance and implementation similarity when measuring tool diversity or constructing evaluation splits.

C2weakest assumption

That lexical and fuzzy-structural similarity metrics, calibrated via manual verification of 100 sampled pairs per ecosystem, reliably distinguish true cloning from independent but coincidentally similar implementations without significant false positives.

C3one line summary

Tool cloning is pervasive in agentic AI ecosystems, with 60% of high-Jaccard and 85% of high-ssdeep similar pairs verified as true clones in a study of over 8,800 repositories.

Receipt and verification
First computed 2026-05-20T00:03:16.635297Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

982ac0a7df29af442444dc4150d0932c1c57d891023b804bd98d20dd5708539e

Aliases

arxiv: 2605.09817 · arxiv_version: 2605.09817v2 · doi: 10.48550/arxiv.2605.09817 · pith_short_12: TAVMBJ67FGXU · pith_short_16: TAVMBJ67FGXUIJCE · pith_short_8: TAVMBJ67
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/TAVMBJ67FGXUIJCE3RAVBUETFQ \
  | 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: 982ac0a7df29af442444dc4150d0932c1c57d891023b804bd98d20dd5708539e
Canonical record JSON
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    "submitted_at": "2026-05-10T23:39:44Z",
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