Companion artifacts for Hyra: Hunyuan Research Agent.
This repository collects concrete solutions that Hyra produced across a range of open problems in science, mathematics, engineering, and creative design, released alongside the Hyra launch post. Each folder holds the final solution artifact and, where relevant, the self-contained scripts that reproduce it.
📝 Launch post: hy.tencent.com/research/hyra
-
2026-08-19: 🧾 Three new results, each with a Lean 4 formalization of its finite and numerical core.
- Beurling–Ahlfors transform. Iwaniec's 1982 conjecture predicts the sharp
Lᵖoperator normp*−1; the best proven uniform coefficient drops from1.575(Bañuelos and Janakiraman, 2008) to 1.523958. Paper:AI4Science/beurling_ahlfors_bellman/. - Partial Hadamard matrices. Their asymptotic count is now known
throughout every power-law range above
n², not just the cubic rangem ≫ n³, lowering the critical exponent from 3 (arXiv:2603.30013) to 2. Paper:AI4Science/partial_hadamard_counting/. - Commutators close to the identity. The identity is never a commutator,
but comes within
εat a price: the least‖D‖·‖X‖needed falls from Tao'sO(log⁵(1/ε)), since refined toO(log⁴), to O(log³(1/ε)), against Popa'slog(1/ε)lower bound. Paper:AI4Science/commutator_log_cubed/.
- Beurling–Ahlfors transform. Iwaniec's 1982 conjecture predicts the sharp
-
2026-08-17: 📐 Blaschke–Lebesgue in three dimensions. The least volume of a convex body of constant width
wis conjectured to be Meissner's≈ 0.419860 w³; the best certified lower bound rises from4π/33 · w³ ≈ 0.380799 w³(Nishioka, arXiv:2606.01754) to > 0.411040 w³, closing 77.4% of the remaining gap. Paper:AI4Science/3d_blaschke_lebesgue/. -
2026-07-29: 🎉 The sum-vs-difference problem is settled. For finite
A ⊆ ℤ, the optimal exponent relating|A+A|to|A−A|has supremum exactly 2, approached arbitrarily closely but never attained: a complete, machine-checked resolution going beyond thesums_diffsrecord below. Proof: sum-diff-proof.
Each row compares the best prior published result (Prev best, from the cited system or leaderboard) against Hyra. Arrows mark the better direction (↓ lower is better, ↑ higher is better); the Hyra-winning value is in bold.
| Track | Task | Metric | Prev best | Hyra |
|---|---|---|---|---|
| AI4AI | nanochat_autoresearch |
val BPB ↓ | 0.9109 e | 0.9015 |
nanogpt_speedrun |
wall-clock ↓ | 77.5 s e | 76.4 s (mean val loss: 3.280) | |
sol_execbench |
score ↑ | 0.754 e | 0.771 | |
| AI4Science | autocorrelation_first |
C₁ ↓ | 1.502870 a | 1.502850 |
autocorrelation_second |
R ↑ | 0.962694 b | 0.962901 | |
erdos_min_overlap |
C₅ ↓ | 0.380868 b | 0.380859 | |
sums_diffs |
C(A) ↑ | 1.14489 b | 1.21079 | |
packing_records |
records broken | n/a f | 100 | |
smallest_adder |
params ↓ | 36 c | 15 | |
parp1_docking |
objective ↓ | −9.77 d | −10.60 | |
qubit_routing |
CNOTs added ↓ | 269,037 b | 258,369 | |
sunspot_symbolic |
forecast R² ↑ | 0.47 g | 0.78 | |
3d_blaschke_lebesgue |
Vol/w³ bound ↑ | 0.380799 h | 0.411040 | |
beurling_ahlfors_bellman |
C_BA ↓ | 1.575 i | 1.523958 | |
partial_hadamard_counting |
regime exponent ↓ | 3 j | 2 | |
commutator_log_cubed |
log exponent ↓ | 4 k | 3 |
Prev-best sources.
- a TTT-Discover: Learning to Discover at Test Time (arXiv:2601.16175).
- b SimpleTES: Evaluation-driven Scaling for Scientific Discovery (arXiv:2604.19341).
- c AdderBoard trained-weights leaderboard (github.com/anadim/AdderBoard).
- d Olaparib, an approved PARP1 inhibitor (drug baseline).
- e Recursive: First Steps Toward Automated AI Research (github.com/recursive-org/first-steps-toward-automated-ai-research); AI4AI baselines: nanoGPT-speedrun, nanochat, and SOL-ExecBench.
- f Erich Friedman's Packing Center (erich-friedman.github.io/packing). Hyra's record-improving packings are credited there as "Found by Haowei Lin": 100 across 28 shape-in-shape families, each beating the previously listed best.
- g Baseline: a "copy last frame" (persistence) forecast. Hyra's score is the forecast R² on a fully-held-out, half-century-long segment of the record.
- h Nishioka: An improved lower bound for the three-dimensional
Blaschke–Lebesgue problem from spectral and dual perspectives
(arXiv:2606.01754), which gives
4π/33 ≈ 0.380799109526. Hyra's certified bound is(130838246407123/10¹⁵)·π > 0.411040473721188. - i R. Bañuelos and P. Janakiraman, Lᵖ-bounds for the
Beurling–Ahlfors transform (2008), which gives the uniform coefficient
1.575. Iwaniec's conjectured sharp value is1. - j D. Davis: Counting Partial Hadamard Matrices in the Cubic Regime (arXiv:2603.30013).
- k B. Bilich: An O(log⁴(1/ε)) refinement of Tao's construction of
commutators close to the identity
(github.com/bilichboris/TaoCommutators);
the published exponent is Tao's
5, since refined to4.
Metrics are as defined by each benchmark; comparisons are against the cited published results.
Metric notes.
- C₁: first autoconvolution/autocorrelation constant,
max(f∗f)/(∫f)²(minimize). - R: second autocorrelation ratio,
‖f∗f‖₂² / (‖f∗f‖₁·‖f∗f‖∞)(maximize). - C₅: Erdős minimum-overlap constant (minimize).
- C(A): sum-vs-difference exponent,
log(|A+A|/|A|) / log(|A−A|/|A|)(maximize). - params: unique trainable parameters of a transformer that adds two 10-digit integers at ≥ 0.99 accuracy (minimize).
- objective: PARP1 docking objective,
Vina score + 10·(1 − QED)(minimize). - CNOTs added: extra CNOTs inserted by SWAP routing (minimize; 1 SWAP = 3 CNOTs).
- forecast R²: rolling-origin, free-running (24-month) forecast R² for monthly sunspot numbers (maximize).
- Vol/w³ bound: largest proven universal lower bound on
Vol(K)/w³over all convex bodiesK ⊂ ℝ³of constant widthw(maximize; the conjectured optimum is≈ 0.419860). - C_BA: smallest proven uniform coefficient in
‖B‖_{Lᵖ→Lᵖ} ≤ C_BA·(p*−1)for the Beurling–Ahlfors transform, over all1 < p < ∞(minimize; the conjectured optimum is1). - regime exponent: infimum of the power-law exponents
ufor whichm/nᵘ → ∞is known to force the asymptotic formula forN(n,m)(minimize; the endpoint value itself is not claimed). - log exponent: smallest proven
kinm(ε) = O(logᵏ(1/ε))for commutators withinεof the identity (minimize; the matching lower bound isk = 1).
Note. The results above were current as of 2026-07-10, except
3d_blaschke_lebesgue, added 2026-08-17, and the three entries added 2026-08-19. Several of these problems live on public, continuously-updated leaderboards; later entries there may warm-start from Hyra's published solutions to reach still-better numbers.
Creative and game-playing demos (no leaderboard comparison):
AI4Fun/reversi/: a AlphaZero-style Reversi (Othello) bot for the Botzone 8×8 arena (C++ pattern/n-tuple net + PUCT-MCTS + exact endgame solver).AI4Fun/music/: a five-part arrangement of 望春風 (Bāng-chhun-hong, 1933, 鄧雨賢).AI4Fun/3d_penguin/: a procedural 3-D QQ-penguin built by a single Blenderbpyscript.AI4Fun/3d_hunyuan/: a procedural 3-D Tencent Hunyuan (混元) logo orb.
If you use these results, please cite:
@misc{hyra2026,
title = {Hyra: Hunyuan Research Agent},
author = {{Hyra Team}},
year = {2026},
howpublished = {\url{https://hy.tencent.com/research/hyra}},
}This repository is licensed under the Apache License, Version 2.0; see
LICENSE.