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/investigation-into-in-context-learning-capabilities-of-transformers
Subject: Investigation into In-Context Learning Capabilities of Transformers
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": 40, "author": "Rushil Chandrupatla; Leo Bangayan; Sebastian Leng; Arya Mazumdar"
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": 40, "author": "Rushil Chandrupatla; Leo Bangayan; Sebastian Leng; Arya Mazumdar", "title": "Investigation into In-Context Learning Capabilities of Transformers", "creation date": null, "modification date": null, "kids": []}
Inference
{"file name": "input.pdf", "number of pages": 40, "author": "Rushil Chandrupatla; Leo Bangayan; Sebastian Leng; Arya Mazumdar", "title": "Investigation into In-Context Learning Capabilities of Transformers", "creation date": null, "modification date": null, "kids": []}
Hardware
{"file name": "input.pdf", "number of pages": 40, "author": "Rushil Chandrupatla; Leo Bangayan; Sebastian Leng; Arya Mazumdar", "title": "Investigation into In-Context Learning Capabilities of Transformers", "creation date": null, "modification date": null, "kids": []}
Receipt path
/buildability/investigation-into-in-context-learning-capabilities-of-transformers
Paper ref
investigation-into-in-context-learning-capabilities-of-transformers
arXiv id
2604.25858
Generated at
2026-04-29T03:18:58.227Z
Evidence freshness
stale
Last verification
2026-04-29T03:18:58.227Z
Sources
4
References
0
Coverage
67%
Lineage hash
a3c589ff0d430e7bb27711c96219938c64ddfd6836cc0f8502b7945e6dea9ede
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