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-simulation-to-enaction-post-trained-language-models-recognize-and-react-to-their-own-generations
Subject: From Simulation to Enaction: Post-trained language models recognize and react to their own generations
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": 26, "author": "Asvin G.; Jack Lindsey"
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": 26, "author": "Asvin G.; Jack Lindsey", "title": "From Simulation to Enaction: Post-trained language models recognize and react to their own generations", "creation date": null, "modification date": null, "kids": []}
Inference
{"file name": "input.pdf", "number of pages": 26, "author": "Asvin G.; Jack Lindsey", "title": "From Simulation to Enaction: Post-trained language models recognize and react to their own generations", "creation date": null, "modification date": null, "kids": []}
Hardware
{"file name": "input.pdf", "number of pages": 26, "author": "Asvin G.; Jack Lindsey", "title": "From Simulation to Enaction: Post-trained language models recognize and react to their own generations", "creation date": null, "modification date": null, "kids": []}
Receipt path
/buildability/from-simulation-to-enaction-post-trained-language-models-recognize-and-react-to-their-own-generations
Paper ref
from-simulation-to-enaction-post-trained-language-models-recognize-and-react-to-their-own-generations
arXiv id
2605.25459
Generated at
2026-05-27T00:07:15.048Z
Evidence freshness
stale
Last verification
2026-05-27T00:07:15.048Z
Sources
3
References
0
Coverage
50%
Lineage hash
cd1559d3b7db9282df53458887afe9d8c5bba73895aa00f7fb4ae937d5ba5311
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.
repo_url
references