Buildability / Receipt
$R^2$-dLLM: Accelerating Diffusion Large Language Models via Spatio-Temporal Redundancy Reduction
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: $R^2$-dLLM: Accelerating Diffusion Large Language Models via Spatio-Temporal Redundancy Reduction
/buildability/r-2-dllm-accelerating-diffusion-large-language-models-via-spatio-temporal-redundancy-reduction
Subject: $R^2$-dLLM: Accelerating Diffusion Large Language Models via Spatio-Temporal Redundancy Reduction
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
{"file name": "input.pdf", "number of pages": 17, "author": "Zhenbang Du; Kejing Xia; Xinrui Zhong; Yonggan Fu; Nicolai Oswald; Binfei Ji; Brucek Khailany; Pavlo Molchanov
Compute
{"file name": "input.pdf", "number of pages": 17, "author": "Zhenbang Du; Kejing Xia; Xinrui Zhong; Yonggan Fu; Nicolai Oswald; Binfei Ji; Brucek Khailany; Pavlo Molchanov; Yingyan Lin", "title": "$R^2$-dLLM: Accelerating Diffusion Large Language Models via Spatio-Temporal Redundancy Reduction", "creation date": null
Inference
{"file name": "input.pdf", "number of pages": 17, "author": "Zhenbang Du; Kejing Xia; Xinrui Zhong; Yonggan Fu; Nicolai Oswald; Binfei Ji; Brucek Khailany; Pavlo Molchanov; Yingyan Lin", "title": "$R^2$-dLLM: Accelerating Diffusion Large Language Models via Spatio-Temporal Redundancy Reduction", "creation date": null
Hardware
{"file name": "input.pdf", "number of pages": 17, "author": "Zhenbang Du; Kejing Xia; Xinrui Zhong; Yonggan Fu; Nicolai Oswald; Binfei Ji; Brucek Khailany; Pavlo Molchanov; Yingyan Lin", "title": "$R^2$-dLLM: Accelerating Diffusion Large Language Models via Spatio-Temporal Redundancy Reduction", "creation date": null
Evidence ids
Receipt path
/buildability/r-2-dllm-accelerating-diffusion-large-language-models-via-spatio-temporal-redundancy-reduction
Paper ref
r-2-dllm-accelerating-diffusion-large-language-models-via-spatio-temporal-redundancy-reduction
arXiv id
2604.18995
Freshness
Generated at
2026-04-22T02:15:23.327Z
Evidence freshness
fresh
Last verification
2026-04-22T02:15:23.327Z
Sources
3
References
0
Coverage
50%
Hash state
Lineage hash
146237c9fabb97bb438b73da347fd3d41e1caacb16955e41bd8cf2ea07bfc91f
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.