Buildability / Receipt
Value-Conflict Diagnostics Reveal Widespread Alignment Faking in Language Models
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
Watch and verify: Value-Conflict Diagnostics Reveal Widespread Alignment Faking in Language Models
/buildability/value-conflict-diagnostics-reveal-widespread-alignment-faking-in-language-models
Subject: Value-Conflict Diagnostics Reveal Widespread Alignment Faking in Language Models
Verdict
Watch
Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.
Time to first demo
Insufficient data
No first-demo timestamp, owner estimate, or elapsed demo receipt is attached to this surface.
Compute envelope
Data
the model’s weights using backpropagation to make it more likely to have given higher-rated outputs on training data. 4. This process is repeated iteratively
Compute
the model’s weights using backpropagation to make it more likely to have given higher-rated outputs on training data. 4. This process is repeated iteratively , gradually shaping the model’s behavior and potentially altering its apparent values, goals, and personality
Inference
the model’s weights using backpropagation to make it more likely to have given higher-rated outputs on training data. 4. This process is repeated iteratively , gradually shaping the model’s behavior and potentially altering its apparent values, goals, and personality
Hardware
the model’s weights using backpropagation to make it more likely to have given higher-rated outputs on training data. 4. This process is repeated iteratively , gradually shaping the model’s behavior and potentially altering its apparent values, goals, and personality
Evidence ids
Receipt path
/buildability/value-conflict-diagnostics-reveal-widespread-alignment-faking-in-language-models
Paper ref
value-conflict-diagnostics-reveal-widespread-alignment-faking-in-language-models
arXiv id
2604.20995
Freshness
Generated at
2026-04-24T20:30:49.488Z
Evidence freshness
fresh
Last verification
2026-04-24T20:30:49.488Z
Sources
3
References
0
Coverage
50%
Hash state
Lineage hash
fc4415260e4bd9e0d75b701388e21b8b077e6218e7fa1e37f4c5426ebb9dc867
Canonical opportunity-kernel lineage hash.
Signature state
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.
Blockers
- Missing: repo_url
- Missing: references
- Missing: proof_status
- Unknown: proof verification has not been recorded yet
Canonical opportunity-kernel evidence is available for this receipt window.
repo_url
references
Truth Boundary
External gate remains unresolved for live deployment claims.
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.