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/neuro-symbolic-learning-for-long-horizon-task-planning-under-complex-logical-constraints
Subject: Neuro-Symbolic Learning for Long-Horizon Task Planning Under Complex Logical Constraints
Verdict
Ignore
Verdict is Ignore because current viability and proof state do not clear the buildability gate.
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": 18, "author": "Qiwei Du; Zitong Zhan; Shaoshu Su; Bowen Li; Yi Du; Zhipeng Zhao; Taimeng Fu; Sebastian Scherer; Jiaoyang Li
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": 18, "author": "Qiwei Du; Zitong Zhan; Shaoshu Su; Bowen Li; Yi Du; Zhipeng Zhao; Taimeng Fu; Sebastian Scherer; Jiaoyang Li; Chen Wang", "title": "Neuro-Symbolic Learning for Long-Horizon Task Planning Under Complex Logical Constraints", "creation date": null
Inference
{"file name": "input.pdf", "number of pages": 18, "author": "Qiwei Du; Zitong Zhan; Shaoshu Su; Bowen Li; Yi Du; Zhipeng Zhao; Taimeng Fu; Sebastian Scherer; Jiaoyang Li; Chen Wang", "title": "Neuro-Symbolic Learning for Long-Horizon Task Planning Under Complex Logical Constraints", "creation date": null
Hardware
{"file name": "input.pdf", "number of pages": 18, "author": "Qiwei Du; Zitong Zhan; Shaoshu Su; Bowen Li; Yi Du; Zhipeng Zhao; Taimeng Fu; Sebastian Scherer; Jiaoyang Li; Chen Wang", "title": "Neuro-Symbolic Learning for Long-Horizon Task Planning Under Complex Logical Constraints", "creation date": null
Receipt path
/buildability/neuro-symbolic-learning-for-long-horizon-task-planning-under-complex-logical-constraints
Paper ref
neuro-symbolic-learning-for-long-horizon-task-planning-under-complex-logical-constraints
arXiv id
2606.06877
Generated at
2026-06-08T17:17:09.100Z
Evidence freshness
fresh
Last verification
2026-06-08T17:17:09.100Z
Sources
3
References
0
Coverage
50%
Lineage hash
ed0a1c25cfe98416c358f61a4f50d9ec5035d3a1398b7feb400cfdb210c6e40f
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