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/what-makes-interaction-trajectories-effective-for-training-terminal-agents
Subject: What Makes Interaction Trajectories Effective for Training Terminal Agents?
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": 27, "author": "Sidi Yang; Chaofan Tao; Jierun Chen; Tiezheng Yu; Ruoyu Wang; Yuxin Jiang; Yiming Du; Wendong Xu; Jing Xiong
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": 27, "author": "Sidi Yang; Chaofan Tao; Jierun Chen; Tiezheng Yu; Ruoyu Wang; Yuxin Jiang; Yiming Du; Wendong Xu; Jing Xiong; Taiqiang Wu; Lifeng Shang; Xiaohui Li; Ngai Wong; Haoli Bai", "title": "What Makes Interaction Trajectories Effective for Training Terminal Agents?"
Inference
{"file name": "input.pdf", "number of pages": 27, "author": "Sidi Yang; Chaofan Tao; Jierun Chen; Tiezheng Yu; Ruoyu Wang; Yuxin Jiang; Yiming Du; Wendong Xu; Jing Xiong; Taiqiang Wu; Lifeng Shang; Xiaohui Li; Ngai Wong; Haoli Bai", "title": "What Makes Interaction Trajectories Effective for Training Terminal Agents?"
Hardware
{"file name": "input.pdf", "number of pages": 27, "author": "Sidi Yang; Chaofan Tao; Jierun Chen; Tiezheng Yu; Ruoyu Wang; Yuxin Jiang; Yiming Du; Wendong Xu; Jing Xiong; Taiqiang Wu; Lifeng Shang; Xiaohui Li; Ngai Wong; Haoli Bai", "title": "What Makes Interaction Trajectories Effective for Training Terminal Agents?"
Receipt path
/buildability/what-makes-interaction-trajectories-effective-for-training-terminal-agents
Paper ref
what-makes-interaction-trajectories-effective-for-training-terminal-agents
arXiv id
2606.03461
Generated at
2026-06-03T20:45:58.648Z
Evidence freshness
fresh
Last verification
2026-06-03T20:45:58.648Z
Sources
3
References
0
Coverage
50%
Lineage hash
b65e07274340b5b2edd9fee4b9464f2aa7a1f2982dc750cf5bb8848dd7247ea6
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.
Canonical opportunity-kernel evidence is available for this receipt window.
repo_url
references