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/hintmr-eliciting-stronger-mathematical-reasoning-in-small-language-models
Subject: HintMR: Eliciting Stronger Mathematical Reasoning in Small 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.
Data
Language Models Jawad Hossain University at Albany jhossain2@albany.edu Xiangyu Guo University at Buffalo xiangyug@buffalo.edu Jiawei Zhou† Stony Brook University jiawei.zhou
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
The Phi-4-mini-reasoning (Xu et al., 2025) is an- other compact 3.8B-model specifically optimized for advanced mathematical reasoning and step-by- step problem-solving. Qwen2.5-Math (Yang et al., 2024) proposes a self-improvement pipeline and releases math-specialized models down to 1.5B pa- rameters
Inference
The Phi-4-mini-reasoning (Xu et al., 2025) is an- other compact 3.8B-model specifically optimized for advanced mathematical reasoning and step-by- step problem-solving. Qwen2.5-Math (Yang et al., 2024) proposes a self-improvement pipeline and releases math-specialized models down to 1.5B pa- rameters
Hardware
The Phi-4-mini-reasoning (Xu et al., 2025) is an- other compact 3.8B-model specifically optimized for advanced mathematical reasoning and step-by- step problem-solving. Qwen2.5-Math (Yang et al., 2024) proposes a self-improvement pipeline and releases math-specialized models down to 1.5B pa- rameters
Receipt path
/buildability/hintmr-eliciting-stronger-mathematical-reasoning-in-small-language-models
Paper ref
hintmr-eliciting-stronger-mathematical-reasoning-in-small-language-models
arXiv id
2604.12229
Generated at
2026-04-15T17:00:06.077Z
Evidence freshness
stale
Last verification
2026-04-15T17:00:06.077Z
Sources
3
References
0
Coverage
50%
Lineage hash
9397e0dc161cdd2f9e3d99e86902cfbb4c32bbe5fdfb2490fb7bbdc433aca73d
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