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Web-Shepherd inference and evaluation

Process-reward inference and benchmark-evaluation utilities that use task checklists to assess individual web-agent decisions.

AI-assisted editorial review against a primary source. This is a catalog annotation, not an independent reproduction or endorsement.

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What is this resource?

Resource type
Tools
Environment
web
Topics
reward-models, evaluation, web-navigation
Record publication date
Not recorded
Evidence retrieved
2026-10-17T02:44:04Z
Resource ID
github:kyle8581/web-shepherd

What licenses are recorded?

Code, training data, weights, and documents can have different terms. A blank declaration means unknown, not unrestricted use.

Code
Not recorded
Data
Not recorded
Document
Not recorded
Weights
Not recorded

Explore related topics

Reward modelsEvaluationWeb navigation

Scope and limitations

The tree contains src/webprm modules and a WebRewardBench evaluation script. The README’s illustrative folder layout differs from the actual tree, so a complete training pipeline is not claimed. No root code license is declared. Some old checkpoint links are unavailable; current model releases are separately identified through the official Hub collection.

Primary evidence and verification

Source retrieval is separate from experiment reproduction. Use the original publication or publisher page when citing claims about the resource.

  1. editorial primary review

    Retrieved 2026-10-17T02:44:04Z. Supports: name, kind, summary, environments, topics, scope, relations.

    Content fingerprint07431058d8b9a71b80e75b7a74a40a8346c1503eec240628459cc4d4e2f0802f
  2. editorial primary review

    Retrieved 2026-10-17T02:44:04Z. Supports: identity.

    Content fingerprint52925efd66489696c4e1f31f0f8353997fe534df9fcd42e50232cc78f0506903
  3. editorial primary review

    Retrieved 2026-10-17T02:44:04Z. Supports: release_status.

    Content fingerprintba7d28866cec4fb889499fc011473aedcdcc36fd8175c73527eafd7ef6b6dbba

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