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/can-llms-time-travel-enhancing-temporal-consistency-in-legal-agentic-search-through-reinforcement-learning
Subject: Can LLMs Time Travel? Enhancing Temporal Consistency in Legal Agentic Search through Reinforcement Learning
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": "Wei Fan; Yining Zhou; Mufan Zhang; Yanbing Weng; Yiran HU; Tianshi Zheng; Baixuan Xu; Chunyang Li; Jianhui Yang
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": "Wei Fan; Yining Zhou; Mufan Zhang; Yanbing Weng; Yiran HU; Tianshi Zheng; Baixuan Xu; Chunyang Li; Jianhui Yang; Haoran Li; Yangqiu Song", "title": "Can LLMs Time Travel? Enhancing Temporal Consistency in Legal Agentic Search through Reinforcement Learning"
Inference
{"file name": "input.pdf", "number of pages": 18, "author": "Wei Fan; Yining Zhou; Mufan Zhang; Yanbing Weng; Yiran HU; Tianshi Zheng; Baixuan Xu; Chunyang Li; Jianhui Yang; Haoran Li; Yangqiu Song", "title": "Can LLMs Time Travel? Enhancing Temporal Consistency in Legal Agentic Search through Reinforcement Learning"
Hardware
{"file name": "input.pdf", "number of pages": 18, "author": "Wei Fan; Yining Zhou; Mufan Zhang; Yanbing Weng; Yiran HU; Tianshi Zheng; Baixuan Xu; Chunyang Li; Jianhui Yang; Haoran Li; Yangqiu Song", "title": "Can LLMs Time Travel? Enhancing Temporal Consistency in Legal Agentic Search through Reinforcement Learning"
Receipt path
/buildability/can-llms-time-travel-enhancing-temporal-consistency-in-legal-agentic-search-through-reinforcement-learning
Paper ref
can-llms-time-travel-enhancing-temporal-consistency-in-legal-agentic-search-through-reinforcement-learning
arXiv id
2605.25920
Generated at
2026-05-27T00:04:37.554Z
Evidence freshness
stale
Last verification
2026-05-27T00:04:37.554Z
Sources
4
References
0
Coverage
67%
Lineage hash
b617f201ac1f72cd4b0828152fd7a956b8242a9096d5ff37a5e539e99deb0a14
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.
references
proof_status