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/calibration-data-trade-offs-across-capability-dimensions-why-multi-source-mixing-matters-for-high-sparsity-llm-pruning
Subject: Calibration Data Trade-offs Across Capability Dimensions: Why Multi-Source Mixing Matters for High-Sparsity LLM Pruning
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": 19, "author": "Hu Xu; Zhaolong Xing; Congcong Liu; Jiaxing Wang; Zhida Jiang; Junshi Huang; Zhen Chen; Jianfeng Xu"
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": 19, "author": "Hu Xu; Zhaolong Xing; Congcong Liu; Jiaxing Wang; Zhida Jiang; Junshi Huang; Zhen Chen; Jianfeng Xu", "title": "Calibration Data Trade-offs Across Capability Dimensions: Why Multi-Source Mixing Matters for High-Sparsity LLM Pruning", "creation date": null
Inference
{"file name": "input.pdf", "number of pages": 19, "author": "Hu Xu; Zhaolong Xing; Congcong Liu; Jiaxing Wang; Zhida Jiang; Junshi Huang; Zhen Chen; Jianfeng Xu", "title": "Calibration Data Trade-offs Across Capability Dimensions: Why Multi-Source Mixing Matters for High-Sparsity LLM Pruning", "creation date": null
Hardware
{"file name": "input.pdf", "number of pages": 19, "author": "Hu Xu; Zhaolong Xing; Congcong Liu; Jiaxing Wang; Zhida Jiang; Junshi Huang; Zhen Chen; Jianfeng Xu", "title": "Calibration Data Trade-offs Across Capability Dimensions: Why Multi-Source Mixing Matters for High-Sparsity LLM Pruning", "creation date": null
Receipt path
/buildability/calibration-data-trade-offs-across-capability-dimensions-why-multi-source-mixing-matters-for-high-sparsity-llm-pruning
Paper ref
calibration-data-trade-offs-across-capability-dimensions-why-multi-source-mixing-matters-for-high-sparsity-llm-pruning
arXiv id
2606.03328
Generated at
2026-06-03T20:47:21.979Z
Evidence freshness
fresh
Last verification
2026-06-03T20:47:21.979Z
Sources
3
References
0
Coverage
50%
Lineage hash
21c8a8c7f86df0f9fb63d9d379d8f1c1c0a4de95616cfebd3fcfa1347ae9e67f
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.
Canonical opportunity-kernel evidence is available for this receipt window.
repo_url
references