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/planner-centric-reinforcement-learning-for-deep-research-with-structure-aware-reward
Subject: Planner-Centric Reinforcement Learning for Deep Research with Structure-Aware Reward
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": 33, "author": "Mustafa Anis Hussain; Xinle Wu; Yao Lu"
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": 33, "author": "Mustafa Anis Hussain; Xinle Wu; Yao Lu", "title": "Planner-Centric Reinforcement Learning for Deep Research with Structure-Aware Reward", "creation date": null, "modification date": null, "kids": []}
Inference
{"file name": "input.pdf", "number of pages": 33, "author": "Mustafa Anis Hussain; Xinle Wu; Yao Lu", "title": "Planner-Centric Reinforcement Learning for Deep Research with Structure-Aware Reward", "creation date": null, "modification date": null, "kids": []}
Hardware
{"file name": "input.pdf", "number of pages": 33, "author": "Mustafa Anis Hussain; Xinle Wu; Yao Lu", "title": "Planner-Centric Reinforcement Learning for Deep Research with Structure-Aware Reward", "creation date": null, "modification date": null, "kids": []}
Receipt path
/buildability/planner-centric-reinforcement-learning-for-deep-research-with-structure-aware-reward
Paper ref
planner-centric-reinforcement-learning-for-deep-research-with-structure-aware-reward
arXiv id
2605.30824
Generated at
2026-06-01T20:23:48.629Z
Evidence freshness
stale
Last verification
2026-06-01T20:23:48.629Z
Sources
3
References
0
Coverage
50%
Lineage hash
46234b166623ad5e116bf2fdb720a724bfdf99029fbdef35fce217c7f97c38e2
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