Buildability / Receipt
This public receipt window renders only fields present in the canonical receipt object, deterministic fixture receipt, or canonical evidence receipt. Missing compute, demo, hash, signature, approval, telemetry, and adoption fields stay explicit.
Public buildability page receipt window
/buildability/literesearcher-a-scalable-agentic-rl-training-framework-for-deep-research-agent
Subject: LiteResearcher: A Scalable Agentic RL Training Framework for Deep Research Agent
Verdict
Watch
Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.
Time to first demo
Insufficient data
No first-demo timestamp, owner estimate, or elapsed demo receipt is attached to this surface.
Data
{"file name": "input.pdf", "number of pages": 23, "author": "Wanli Li; Bince Qu; Bo Pan; Jianyu Zhang; Zheng Liu; Pan Zhang; Wei Chen; Bo Zhang"
Truth Boundary
Buildability surfaces only report computed viability and proof receipts. They do not claim live production usage, pilot outcomes, founder sign-off, public Brier calibration, judge divergence, or external adoption unless explicitly sourced.
Compute
{"file name": "input.pdf", "number of pages": 23, "author": "Wanli Li; Bince Qu; Bo Pan; Jianyu Zhang; Zheng Liu; Pan Zhang; Wei Chen; Bo Zhang", "title": "LiteResearcher: A Scalable Agentic RL Training Framework for Deep Research Agent", "creation date": null, "modification date": null, "kids": []}
Inference
{"file name": "input.pdf", "number of pages": 23, "author": "Wanli Li; Bince Qu; Bo Pan; Jianyu Zhang; Zheng Liu; Pan Zhang; Wei Chen; Bo Zhang", "title": "LiteResearcher: A Scalable Agentic RL Training Framework for Deep Research Agent", "creation date": null, "modification date": null, "kids": []}
Hardware
{"file name": "input.pdf", "number of pages": 23, "author": "Wanli Li; Bince Qu; Bo Pan; Jianyu Zhang; Zheng Liu; Pan Zhang; Wei Chen; Bo Zhang", "title": "LiteResearcher: A Scalable Agentic RL Training Framework for Deep Research Agent", "creation date": null, "modification date": null, "kids": []}
Receipt path
/buildability/literesearcher-a-scalable-agentic-rl-training-framework-for-deep-research-agent
Paper ref
literesearcher-a-scalable-agentic-rl-training-framework-for-deep-research-agent
arXiv id
2604.17931
Generated at
2026-04-21T20:33:49.017Z
Evidence freshness
stale
Last verification
2026-04-21T20:33:49.017Z
Sources
5
References
0
Coverage
67%
Lineage hash
395cde222f26a218d217d23d4b170240a47444aab23ba8a7cc3a33a285bf18ce
Canonical opportunity-kernel lineage hash.
External signature
unsigned_external
No founder, registry, pilot, or production-adoption signature is attached to this receipt.
Verification
not_verified
Verification is blocked until an external signature is provided.
Some score or evidence fields are outside the preferred freshness window.
repo_url
references