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/from-context-to-skills-can-language-models-learn-from-context-skillfully
Subject: From Context to Skills: Can Language Models Learn from Context Skillfully?
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
# Prompt Used for Judge and CL-bench Evaluation Starting now, you are a rigorous instruction-following grading teacher
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
# Prompt Used for Judge and CL-bench Evaluation Starting now, you are a rigorous instruction-following grading teacher. Your task is to accurately grade and score student answers based on the [Rubrics]. Grading Criteria This is a strict, all-or-nothing grading system. The final score is binary. To receive a score of 1
Inference
# Prompt Used for Judge and CL-bench Evaluation Starting now, you are a rigorous instruction-following grading teacher. Your task is to accurately grade and score student answers based on the [Rubrics]. Grading Criteria This is a strict, all-or-nothing grading system. The final score is binary. To receive a score of 1
Hardware
# Prompt Used for Judge and CL-bench Evaluation Starting now, you are a rigorous instruction-following grading teacher. Your task is to accurately grade and score student answers based on the [Rubrics]. Grading Criteria This is a strict, all-or-nothing grading system. The final score is binary. To receive a score of 1
Receipt path
/buildability/from-context-to-skills-can-language-models-learn-from-context-skillfully
Paper ref
from-context-to-skills-can-language-models-learn-from-context-skillfully
arXiv id
2604.27660
Generated at
2026-05-01T15:05:41.411Z
Evidence freshness
stale
Last verification
2026-05-01T15:05:41.411Z
Sources
4
References
0
Coverage
67%
Lineage hash
5fc9a1fe89f91c07933a9ead0e14565615d7a4f6c56caae468bd6f4058c1ccbf
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