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task_bude_2021
Accelerating simulations of electromagnetic waves in hot, magnetized fusion plasmas
R H S Budé, D Van Eester, J van Dijk, R J E Jaspers and A B Smolders
2,021
10.1088/1361-6587/abd619
null
[ "Bude2021.md" ]
[]
# Paper Reproduction Task You are given a plasma physics paper to reproduce. Your goal is to read the paper, understand its methodology, and implement electromagnetic wave simulations to reproduce 7 key figures and 1 table. --- ## 1. Article Information | Field | Value | |-------|-------| | **Title** | Accelerating...
## IMPORTANT: Code-Only Mode In this task you are in **code-only mode**. You must: 1. Read and analyze the paper 2. Write `reproduction/ANALYSIS.md` with your methodology analysis 3. Implement ALL code files under `reproduction/` 4. **DO NOT** run the simulations or generate CSV data files 5. Focus on writing correct,...
{ "analysis": [ "reproduction/ANALYSIS.md" ], "code": [ "reproduction/plasma.py", "reproduction/dielectric.py", "reproduction/solvers.py", "reproduction/run_sim.py", "reproduction/fig2_profiles.py", "reproduction/fig3_4_tensor.py", "reproduction/fig5_fields.py", "reproduction/f...
{ "analysis": [ "reproduction/ANALYSIS.md" ], "code": [ "reproduction/plasma.py", "reproduction/dielectric.py", "reproduction/solvers.py", "reproduction/run_sim.py", "reproduction/fig2_profiles.py", "reproduction/fig3_4_tensor.py", "reproduction/fig5_fields.py", "reproduction/f...
{ "image": "python:3.11-slim", "memory_limit": "8g", "timeout": 14400, "pip_install": [ "numpy", "scipy", "matplotlib" ] }
[ { "name": "methodology_understanding", "weight": 0.2 }, { "name": "code_correctness", "weight": 0.15 }, { "name": "data_accuracy", "weight": 0.5 }, { "name": "completeness", "weight": 0.15 } ]
task_davighi_2024
Topological Portal to the Dark Sector
Joe Davighi, Admir Greljo, Nudžeim Selimović
2,024
null
2401.09528
[ "Davighi2024.md" ]
[]
# Paper Reproduction Task You are given a particle physics phenomenology paper to reproduce. Your goal is to read the paper, understand its methodology, and implement numerical computations to reproduce 2 key figures. --- ## 1. Article Information | Field | Value | |-------|-------| | **Title** | Topological Portal...
## IMPORTANT: Code-Only Mode In this task you are in **code-only mode**. You must: 1. Read and analyze the paper 2. Write `reproduce/ANALYSIS.md` with your methodology analysis 3. Implement ALL code files under `reproduce/` 4. **DO NOT** run the scripts or generate data files 5. Focus on writing correct, complete, and...
{ "analysis": [ "reproduce/ANALYSIS.md" ], "code": [ "reproduce/fig2_compute.py", "reproduce/fig4_compute.py" ], "data": [ "data/fig2.csv", "data/fig4_relic.csv" ] }
{ "analysis": [ "reproduce/ANALYSIS.md" ], "code": [ "reproduce/fig2_compute.py", "reproduce/fig4_compute.py" ] }
{ "image": "python:3.11-slim", "memory_limit": "4g", "timeout": 7200, "pip_install": [ "numpy", "scipy", "matplotlib", "mpmath" ] }
[ { "name": "methodology_understanding", "weight": 0.15 }, { "name": "code_correctness", "weight": 0.15 }, { "name": "data_accuracy", "weight": 0.55 }, { "name": "completeness", "weight": 0.15 } ]
task_dimitrov_2000
Chirality of Nuclear Rotation
S. Dimitrov, T. Frauendorf, F. Dönau
2,000
10.1103/PhysRevLett.84.5732
null
[ "3-Dimitrov2000Phys.Rev.Lett.5732.md" ]
[]
# Paper Reproduction Task You are given a nuclear-structure paper to reproduce. Your goal is to read the paper, understand its TAC methodology, and implement a self-contained Python reproduction for the main `134Pr` benchmark. --- ## 1. Article Information | Field | Value | | --- | --- | | **Title** | Chirality of ...
## IMPORTANT: Code-Only Mode In this task you are in **code-only mode**. You must: 1. Read and analyze the paper 2. Write `reproduce/ANALYSIS.md` with your methodology analysis 3. Implement ALL code files under `reproduce/` 4. **DO NOT** run the scripts or generate CSV data files 5. Focus on writing correct, complete,...
{ "analysis": [ "reproduce/ANALYSIS.md" ], "code": [ "reproduce/main.py", "reproduce/tac3d_python.py", "reproduce/ws_reference.py" ], "data": [ "data/pr134_final_reproduction_comparison.csv", "data/pr134_final_reproduction_metrics.csv", "data/pr134_table1_angles_j.csv", "data/p...
{ "analysis": [ "reproduce/ANALYSIS.md" ], "code": [ "reproduce/main.py", "reproduce/tac3d_python.py", "reproduce/ws_reference.py" ] }
{ "image": "python:3.11-slim", "memory_limit": "4g", "timeout": 21600, "pip_install": [ "numpy", "scipy", "matplotlib" ] }
[ { "name": "methodology_understanding", "weight": 0.2 }, { "name": "code_correctness", "weight": 0.25 }, { "name": "data_accuracy", "weight": 0.4 }, { "name": "completeness", "weight": 0.15 } ]
task_dong_2025
Enhanced nonlinear Hall effect by Cooper pairs near the superconducting phase transition
Zi-Hao Dong, Hui Yang, Yi Zhang
2,025
10.1103/PhysRevB.111.155120
null
[ "PhysRevB.111.155120.md" ]
[]
# Paper Reproduction Task You are given a physics paper to reproduce. Your goal is to read the paper, understand its content, and implement numerical calculations to reproduce Figure 2. --- ## 1. Article Information | Field | Value ...
## IMPORTANT: Code-Only Mode In this task you are in **code-only mode**. You must: 1. Read and analyze the paper 2. Write `reproduction/ANALYSIS.md` with your methodology analysis 3. Implement your computation under `reproduction/` (any language/format) 4. **DO NOT** run the scripts or generate any data files Your de...
{ "analysis": [ "reproduction/ANALYSIS.md" ], "code": [ "reproduction/data.npz" ], "data": [ "data/data.csv" ] }
{ "analysis": [ "reproduction/ANALYSIS.md" ], "code": [] }
{ "image": "python:3.11-slim", "memory_limit": "4g", "timeout": 3600, "pip_install": [ "numpy", "scipy", "matplotlib" ] }
[ { "name": "methodology_understanding", "weight": 0.15 }, { "name": "code_correctness", "weight": 0.15 }, { "name": "data_accuracy", "weight": 0.55 }, { "name": "completeness", "weight": 0.15 } ]
task_fu_2001
Classical collisional trajectories as the source of strong-field double ionization of helium in the knee regime
L. B. Fu, J. Liu, J. Chen, S. G. Chen
2,001
10.1103/PhysRevA.63.043416
null
[ "fu2001.md" ]
[]
# Paper Reproduction Task You are given a physics paper to reproduce. Your goal is to read the paper, understand its methodology, and implement a classical trajectory Monte Carlo (CTMC) simulation to reproduce the key figure showing the "knee" structure in helium double ionization. --- ## 1. Article Information | F...
## IMPORTANT: Code-Only Mode In this task you are in **code-only mode**. You must: 1. Read and analyze the paper 2. Write `reproduction/ANALYSIS.md` with your methodology analysis 3. Implement ALL code files under `reproduction/` 4. **DO NOT** run the Monte Carlo simulation or generate CSV data files 5. Focus on writi...
{ "analysis": [ "reproduction/ANALYSIS.md" ], "code": [ "reproduction/fig3_knee_structure.py" ], "data": [ "data/fig3_knee_structure.csv" ] }
{ "analysis": [ "reproduction/ANALYSIS.md" ], "code": [ "reproduction/fig3_knee_structure.py" ] }
{ "image": "python:3.11-slim", "memory_limit": "4g", "timeout": 21600, "pip_install": [ "numpy", "scipy", "matplotlib" ] }
[ { "name": "methodology_understanding", "weight": 0.2 }, { "name": "code_correctness", "weight": 0.15 }, { "name": "data_accuracy", "weight": 0.5 }, { "name": "completeness", "weight": 0.15 } ]
task_fu_2008
Energetic-Particle-Induced Geodesic Acoustic Mode
Guoyong Fu
2,008
10.1103/PhysRevLett.101.185002
null
[ "fu2008.md" ]
[]
# Paper Reproduction Task You are given a physics paper to reproduce. Your goal is to read the paper, understand its methodology, and implement a kinetic dispersion relation solver to reproduce 3 key figures (Figure 4, which requires a full global PIC simulation, is explicitly excluded). --- ## 1. Article Informatio...
## IMPORTANT: Code-Only Mode In this task you are in **code-only mode**. You must: 1. Read and analyze the paper 2. Write `reproduction/ANALYSIS.md` with your methodology analysis 3. Implement ALL code files under `reproduction/` (excluding Figure 4) 4. **DO NOT** run the kinetic dispersion relation simulations or gen...
{ "analysis": [ "reproduction/ANALYSIS.md" ], "code": [ "reproduction/kinetic_integrals.py", "reproduction/dispersion_solver.py", "reproduction/fig1_compute.py", "reproduction/fig2_compute.py", "reproduction/fig3_compute.py" ], "data": [ "data/fig1_qh.csv", "data/fig2_roots.csv...
{ "analysis": [ "reproduction/ANALYSIS.md" ], "code": [ "reproduction/kinetic_integrals.py", "reproduction/dispersion_solver.py", "reproduction/fig1_compute.py", "reproduction/fig2_compute.py", "reproduction/fig3_compute.py" ] }
{ "image": "python:3.11-slim", "memory_limit": "8g", "timeout": 14400, "pip_install": [ "numpy", "scipy", "matplotlib" ] }
[ { "name": "methodology_understanding", "weight": 0.2 }, { "name": "code_correctness", "weight": 0.15 }, { "name": "data_accuracy", "weight": 0.5 }, { "name": "completeness", "weight": 0.15 } ]
task_fukushima_2004
Chiral effective model with the Polyakov loop
Kenji Fukushima
2,004
10.1016/j.physletb.2004.04.027
null
[ "Fukushima.md" ]
[]
# Paper Reproduction Task You are given a physics paper to reproduce. Your goal is to read the paper, understand its methodology, and implement a PNJL (Polyakov-loop extended Nambu--Jona-Lasinio) model to reproduce 3 key figures. --- ## 1. Article Information | Field | Value | |-------|-------| | **Title** | Chiral...
## IMPORTANT: Code-Only Mode In this task you are in **code-only mode**. You must: 1. Read and analyze the paper 2. Write `reproduction/ANALYSIS.md` with your methodology analysis 3. Implement ALL code files under `reproduction/` 4. **DO NOT** run the simulation scripts or generate CSV data files 5. Focus on writing c...
{ "analysis": [ "reproduction/ANALYSIS.md" ], "code": [ "reproduction/pnjl_model.py", "reproduction/fig1_pnjl.py", "reproduction/fig2_pnjl.py", "reproduction/fig3_pnjl.py" ], "data": [ "data/fig1_pnjl.csv", "data/fig2_pnjl.csv", "data/fig3_pnjl.csv" ] }
{ "analysis": [ "reproduction/ANALYSIS.md" ], "code": [ "reproduction/pnjl_model.py", "reproduction/fig1_pnjl.py", "reproduction/fig2_pnjl.py", "reproduction/fig3_pnjl.py" ] }
{ "image": "python:3.11-slim", "memory_limit": "4g", "timeout": 7200, "pip_install": [ "numpy", "scipy", "matplotlib" ] }
[ { "name": "methodology_understanding", "weight": 0.2 }, { "name": "code_correctness", "weight": 0.15 }, { "name": "data_accuracy", "weight": 0.5 }, { "name": "completeness", "weight": 0.15 } ]
task_gralla_2018
Observational Signature of High Spin at the Event Horizon Telescope
Samuel E. Gralla, Alexandru Lupsasca, Andrew Strominger
2,018
10.1093/mnras/sty039
null
[ "1710.11112v2.md" ]
[]
# Paper Reproduction Task You are given a general relativity paper to reproduce. Your goal is to read the paper, understand its methodology, and implement the near-extremal Kerr photon ray-tracing computation to reproduce the brightest-image data in Figure 3. --- ## 1. Article Information | Field | Va...
## IMPORTANT: Code-Only Mode In this task you are in **code-only mode**. You must: 1. Read and analyze the paper 2. Write `reproduction/ANALYSIS.md` with your methodology analysis 3. Implement your computation under `reproduction/` (any language/format) 4. **DO NOT** run the scripts or generate CSV data files 5. Focus...
{ "analysis": [ "reproduction/ANALYSIS.md" ], "code": [], "data": [ "data/beta_0.15.csv", "data/beta_0.01.csv", "data/beta_0.001.csv", "data/f_0.15.csv", "data/f_0.01.csv", "data/f_0.001.csv", "data/g_0.15.csv", "data/g_0.01.csv", "data/g_0.001.csv" ] }
{ "analysis": [ "reproduction/ANALYSIS.md" ], "code": [] }
{ "image": "python:3.11-slim", "memory_limit": "4g", "timeout": 10800, "pip_install": [ "numpy", "scipy", "matplotlib" ] }
[ { "name": "methodology_understanding", "weight": 0.2 }, { "name": "code_correctness", "weight": 0.2 }, { "name": "data_accuracy", "weight": 0.45 }, { "name": "completeness", "weight": 0.15 } ]
task_harris_1989
Lasers without Inversion: Interference of Lifetime-Broadened Resonances
S. E. Harris
1,989
10.1103/PhysRevLett.62.1033
null
[ "10_1989_Lasers_Without_Inversion.md" ]
[]
# Paper Reproduction Task You are given a physics paper to reproduce. Your goal is to read the paper, understand its methodology, and to reproduce 3 key figures. ## 1. Article Information | Field | Value | | :------------- | :-------------...
## IMPORTANT: Code-Only Mode In this task you are in **code-only mode**. You must: 1. Read and analyze the paper 2. Write `reproduction/ANALYSIS.md` with your methodology analysis 3. Implement ALL code files under `reproduction/` 4. **DO NOT** run the scripts or generate CSV data files 5. Focus on writing correct, com...
{ "analysis": [ "reproduction/ANALYSIS.md" ], "code": [ "reproduction/fig2_compute.py" ], "data": [ "data/fig2.csv" ] }
{ "analysis": [ "reproduction/ANALYSIS.md" ], "code": [ "reproduction/fig2_compute.py" ] }
{ "image": "python:3.11-slim", "memory_limit": "4g", "timeout": 10800, "pip_install": [ "numpy", "scipy", "matplotlib" ] }
[ { "name": "methodology_understanding", "weight": 0.2 }, { "name": "code_correctness", "weight": 0.2 }, { "name": "data_accuracy", "weight": 0.45 }, { "name": "completeness", "weight": 0.15 } ]
task_harris_1999
Nonlinear Optics at Low Light Levels
S. E. Harris and Lene Vestergaard Hau
1,999
10.1103/PhysRevLett.82.4611
null
[ "harris1999.md" ]
[]
# Paper Reproduction Task You are given a physics paper to reproduce. Your goal is to read the paper, understand its methodology, and reproduce 2 key figures. --- ## 1. Article Information | Field | Value | | ------------------- | --------------...
## IMPORTANT: Code-Only Mode In this task you are in **code-only mode**. You must: 1. Read and analyze the paper 2. Write `reproduction/ANALYSIS.md` with your methodology analysis 3. Implement ALL code files under `reproduction/` 4. **DO NOT** run the scripts or generate CSV data files 5. Focus on writing correct, com...
{ "analysis": [ "reproduction/ANALYSIS.md" ], "code": [ "reproduction/fig1.py", "reproduction/fig3.py", "reproduction/fig4.py" ], "data": [ "data/fig1_data.csv", "data/fig3_data.csv", "data/fig4_data.csv" ] }
{ "analysis": [ "reproduction/ANALYSIS.md" ], "code": [ "reproduction/fig1.py", "reproduction/fig3.py", "reproduction/fig4.py" ] }
{ "image": "python:3.11-slim", "memory_limit": "4g", "timeout": 10800, "pip_install": [ "numpy", "scipy", "matplotlib" ] }
[ { "name": "methodology_understanding", "weight": 0.2 }, { "name": "code_correctness", "weight": 0.15 }, { "name": "data_accuracy", "weight": 0.5 }, { "name": "completeness", "weight": 0.15 } ]
task_ishikawa_1982
The glueball mass spectrum in QCD: first results of a lattice Monte Carlo calculation
K. Ishikawa, M. Teper, G. Schierholz
1,982
null
[ "ishikawa1982.md" ]
[]
# Paper Reproduction Task You are given a physics paper to reproduce. Your goal is to read the paper, understand its methodology, and implement a lattice gauge theory glueball mass calculation to reproduce the key mass results. --- ## 1. Article Information | Field | Value ...
## IMPORTANT: Code-Only Mode In this task you are in **code-only mode**. You must: 1. Read and analyze the paper 2. Write `reproduce/ANALYSIS.md` with your methodology analysis 3. Implement ALL code files under `reproduce/` 4. **DO NOT** run the simulation scripts or generate CSV data files 5. Focus on writing correct...
{ "analysis": [ "reproduce/ANALYSIS.md" ], "code": [ "reproduce/glueball_simulation.py", "reproduce/fig1_compute.py", "reproduce/fig2_compute.py", "reproduce/fig3_compute.py" ], "data": [ "data/fig1.csv", "data/fig2.csv", "data/fig3.csv" ] }
{ "analysis": [ "reproduce/ANALYSIS.md" ], "code": [ "reproduce/glueball_simulation.py", "reproduce/fig1_compute.py", "reproduce/fig2_compute.py", "reproduce/fig3_compute.py" ] }
{ "image": "python:3.11-slim", "memory_limit": "4g", "timeout": 21600, "pip_install": [ "numpy", "scipy", "matplotlib" ] }
[ { "name": "methodology_understanding", "weight": 0.2 }, { "name": "code_correctness", "weight": 0.15 }, { "name": "data_accuracy", "weight": 0.5 }, { "name": "completeness", "weight": 0.15 } ]
task_kolb_2003
Hydrodynamic description of ultrarelativistic heavy-ion collisions
Peter F. Kolb and Ulrich Heinz
2,003
nucl-th/0305084v2
null
[ "P.Kolb2003IdealHydro.md" ]
[ "eosq.dat" ]
# Paper Reproduction Task You are given a physics paper to reproduce. Your goal is to read the paper, understand its methodology, and implement the simulation to reproduce figures. --- ## 1. Article Information | Field | Value | |-------|-------| | **Title** | Hydrodynamic description of ultrarelativistic heavy-ion...
## IMPORTANT: Code-Only Mode In this task you are in **code-only mode**. You must: 1. Read and analyze the paper 2. Write `reproduction/ANALYSIS.md` with your methodology analysis 3. Implement ALL code files under `reproduction/` 4. **DO NOT** run the simulation scripts or generate data files 5. Focus on writing corre...
{ "analysis": [ "reproduction/ANALYSIS.md" ], "code": [ "reproduction/hydro_core.py", "reproduction/eos.py", "reproduction/glauber.py", "reproduction/fig2_glauber.py", "reproduction/fig4_entropy_temp.py", "reproduction/fig9_eccentricity.py" ], "data": [ "data/fig2_glauber.csv",...
{ "analysis": [ "reproduction/ANALYSIS.md" ], "code": [ "reproduction/hydro_core.py", "reproduction/eos.py", "reproduction/glauber.py", "reproduction/fig2_glauber.py", "reproduction/fig4_entropy_temp.py", "reproduction/fig9_eccentricity.py" ] }
{ "image": "python:3.11-slim", "memory_limit": "4g", "timeout": 10800, "pip_install": [ "numpy", "scipy", "matplotlib" ] }
[ { "name": "methodology_understanding", "weight": 0.2 }, { "name": "code_correctness", "weight": 0.15 }, { "name": "data_accuracy", "weight": 0.5 }, { "name": "completeness", "weight": 0.15 } ]
task_li_2014
Classical-Quantum Correspondence for Above-Threshold Ionization
Min Li, Ji-Wei Geng, Hong Liu, Yongkai Deng, Chengyin Wu, Liang-You Peng, Qihuang Gong, Yunquan Liu
2,014
10.1103/PhysRevLett.112.113002
null
[ "qtmc.md" ]
[]
# Paper Reproduction Task: Quantum-Trajectory Monte Carlo Simulation You are given a physics paper to reproduce. Your goal is to read the paper, understand the Quantum-Trajectory Monte Carlo (QTMC) methodology, and implement a simulation to reproduce the photoelectron momentum distribution (PMD) for xenon atoms in str...
## IMPORTANT: Code-Only Mode In this task you are in **code-only mode**. You must: 1. Read and analyze the paper 2. Write `reproduction/ANALYSIS.md` with your methodology analysis and all formulas 3. Implement ALL code files under `reproduction/` 4. **DO NOT** run the simulation or generate CSV data files 5. Focus on ...
{ "analysis": [ "reproduction/ANALYSIS.md" ], "code": [ "reproduction/qtmc_simulation.py" ], "data": [ "data/fig1d.csv" ] }
{ "analysis": [ "reproduction/ANALYSIS.md" ], "code": [ "reproduction/qtmc_simulation.py" ] }
{ "image": "python:3.11-slim", "memory_limit": "4g", "timeout": 7200, "pip_install": [ "numpy", "scipy", "matplotlib" ] }
[ { "name": "methodology_understanding", "weight": 0.2 }, { "name": "code_correctness", "weight": 0.15 }, { "name": "data_accuracy", "weight": 0.5 }, { "name": "completeness", "weight": 0.15 } ]
task_lin_2020
Bootstraps to Strings: Solving Random Matrix Models with Positivity
Henry W. Lin
2,020
arXiv:2002.08387
null
[ "Lin_2020.md" ]
[]
# Paper Reproduction Task You are given a physics paper to reproduce. Your goal is to read the paper, understand its methodology, and implement a bootstrap computation to reproduce 4 key figures. --- ## 1. Article Information | Field | Value | |-------|-------| | **Title** | Bootstraps to Strings: Solving Random Ma...
## IMPORTANT: Code-Only Mode In this task you are in **code-only mode**. You must: 1. Read and analyze the paper 2. Write `reproduction/ANALYSIS.md` with your methodology analysis 3. Implement ALL code files under `reproduction/` 4. **DO NOT** run the scripts or generate CSV data files 5. Focus on writing correct, com...
{ "analysis": [ "reproduction/ANALYSIS.md" ], "code": [ "reproduction/matrix_bootstrap.py", "reproduction/two_matrix_bootstrap.py", "reproduction/fig1_quartic_bootstrap.py", "reproduction/fig4_peninsula.py", "reproduction/fig5_cubic_bootstrap.py", "reproduction/fig8_two_matrix.py" ],...
{ "analysis": [ "reproduction/ANALYSIS.md" ], "code": [ "reproduction/matrix_bootstrap.py", "reproduction/two_matrix_bootstrap.py", "reproduction/fig1_quartic_bootstrap.py", "reproduction/fig4_peninsula.py", "reproduction/fig5_cubic_bootstrap.py", "reproduction/fig8_two_matrix.py" ] ...
{ "image": "python:3.11-slim", "memory_limit": "4g", "timeout": 7200, "pip_install": [ "numpy", "scipy", "matplotlib" ] }
[ { "name": "methodology_understanding", "weight": 0.2 }, { "name": "code_correctness", "weight": 0.15 }, { "name": "data_accuracy", "weight": 0.5 }, { "name": "completeness", "weight": 0.15 } ]
task_liu_2025
Scattering Entanglement Entropy and Its Implications for Electroweak Phase Transitions
Jia Liu, Masanori Tanaka, Xiao-Ping Wang, Jing-Jun Zhang, Zifan Zheng
2,025
arXiv:2505.06001v2
null
[ "liu2025.md" ]
[]
# Paper Reproduction Task You are given a physics paper to reproduce. Your goal is to read the paper, understand its methodology, and implement a numerical computation to reproduce 8 data files corresponding to Figures 3, 4, and 5. --- ## 1. Article Information | Field | Value | |-------|-------| | **Title** | Scat...
## IMPORTANT: Code-Only Mode In this task you are in **code-only mode**. You must: 1. Read and analyze the paper 2. Write `reproduction/ANALYSIS.md` with your methodology analysis and all formulas 3. Implement ALL code files under `reproduction/` 4. **DO NOT** run the scripts or generate CSV data files 5. Focus on wri...
{ "analysis": [ "reproduction/ANALYSIS.md" ], "code": [ "reproduction/entanglement_power.py", "reproduction/fig3_lambda_hS_lambda_S.py", "reproduction/fig4_mS_lambda_hS.py", "reproduction/fig5_vh_lambda_hS.py" ], "data": [ "data/fig3_N2_mS500_lambda_hS_lambda_S.csv", "data/fig3_N4_...
{ "analysis": [ "reproduction/ANALYSIS.md" ], "code": [ "reproduction/entanglement_power.py", "reproduction/fig3_lambda_hS_lambda_S.py", "reproduction/fig4_mS_lambda_hS.py", "reproduction/fig5_vh_lambda_hS.py" ] }
{ "image": "python:3.11-slim", "memory_limit": "4g", "timeout": 3600, "pip_install": [ "numpy", "scipy", "matplotlib" ] }
[ { "name": "methodology_understanding", "weight": 0.2 }, { "name": "code_correctness", "weight": 0.15 }, { "name": "data_accuracy", "weight": 0.5 }, { "name": "completeness", "weight": 0.15 } ]
task_luscher_1991
Signatures of unstable particles in finite volume
Martin Luscher
1,991
10.1016/0550-3213(91)90584-K
null
[ "luscher1991.md" ]
[]
# Paper Reproduction Task You are given a physics paper to reproduce. Your goal is to read the paper, understand its methodology, and implement the Lüscher finite-volume quantization condition to reproduce 2 key figures. --- ## 1. Article Information | Field | Value ...
## IMPORTANT: Code-Only Mode In this task you are in **code-only mode**. You must: 1. Read and analyze the paper 2. Write `reproduce/ANALYSIS.md` with your methodology analysis 3. Implement ALL code files under `reproduce/` 4. **DO NOT** run the scripts or generate CSV data files 5. Focus on writing correct, complete,...
{ "analysis": [ "reproduce/ANALYSIS.md" ], "code": [ "reproduce/zeta_functions.py", "reproduce/luscher_quantization.py", "reproduce/reproduce_figures_final.py", "reproduce/fig1_compute.py", "reproduce/fig2_compute.py" ], "data": [ "data/fig1.csv", "data/fig2.csv" ] }
{ "analysis": [ "reproduce/ANALYSIS.md" ], "code": [ "reproduce/zeta_functions.py", "reproduce/luscher_quantization.py", "reproduce/reproduce_figures_final.py", "reproduce/fig1_compute.py", "reproduce/fig2_compute.py" ] }
{ "image": "python:3.11-slim", "memory_limit": "2g", "timeout": 3600, "pip_install": [ "numpy", "scipy", "matplotlib" ] }
[ { "name": "methodology_understanding", "weight": 0.2 }, { "name": "code_correctness", "weight": 0.15 }, { "name": "data_accuracy", "weight": 0.5 }, { "name": "completeness", "weight": 0.15 } ]
task_monmayrant_2010
A newcomer's guide to ultrashort pulse shaping and characterization
Antoine Monmayrant, Sébastien Weber, Béatrice Chatel
2,010
10.1088/0953-4075/43/10/103001
null
[ "Monmayrant_2010.md" ]
[]
# Reproduction Instructions for AI Agent Reproduce **Figure 3: Pulse Shaping Gallery** from the paper: - **Title**: A newcomer's guide to ultrashort pulse shaping and characterization - **Authors**: Antoine Monmayrant, Sébastien Weber, Béatrice Chatel - **DOI**: 10.1088/0953-4075/43/10/103001 - **Journal**: J. Phys. B...
## Code-Only Mode Write the code to reproduce Figure 3 and export the data files. DO NOT run the simulation or generate the actual CSV files.
{ "code": [ "reproduction/fig3.py" ], "data": [ "data/spectral_data.csv", "data/temporal_data.csv", "data/pulse_features.csv" ] }
{ "code": [ "reproduction/fig3.py" ] }
{ "image": "python:3.11-slim", "memory_limit": "2g", "timeout": 1800, "pip_install": [ "numpy", "scipy", "matplotlib" ] }
[ { "name": "methodology_understanding", "weight": 0.2 }, { "name": "code_correctness", "weight": 0.2 }, { "name": "data_accuracy", "weight": 0.4 }, { "name": "completeness", "weight": 0.2 } ]
task_parke_1986
Amplitude for n-Gluon Scattering
Stephen J. Parke and T. R. Taylor
1,986
10.1103/PhysRevLett.56.2459
null
[ "parke_1986.md" ]
[]
# Paper Reproduction Task You are given a physics paper to reproduce. Your goal is to read the paper, understand its methodology, and implement a computation to reproduce the 5-gluon scattering amplitude results. --- ## 1. Article Information | Field | Value ...
## IMPORTANT: Code-Only Mode In this task you are in **code-only mode**. You must: 1. Read and analyze the paper 2. Write `reproduction/ANALYSIS.md` with your methodology analysis 3. Implement ALL code files under `reproduction/` 4. **DO NOT** run the computation scripts or generate data files 5. Focus on writing corr...
{ "analysis": [ "reproduction/ANALYSIS.md" ], "code": [ "reproduction/FeynmanRules.wl", "reproduction/ColorAlgebra.wl", "reproduction/Kinematics.wl", "reproduction/SpinorHelicity.wl", "reproduction/Amplitude5g.wl", "reproduction/ComputeAmplitude.wl", "reproduction/EvaluateDdim.wl",...
{ "analysis": [ "reproduction/ANALYSIS.md" ], "code": [ "reproduction/FeynmanRules.wl", "reproduction/ColorAlgebra.wl", "reproduction/Kinematics.wl", "reproduction/SpinorHelicity.wl", "reproduction/Amplitude5g.wl", "reproduction/ComputeAmplitude.wl", "reproduction/EvaluateDdim.wl",...
{ "image": "python:3.11-slim", "memory_limit": "4g", "timeout": 10800, "pip_install": [ "numpy", "scipy", "matplotlib", "sympy" ] }
[ { "name": "methodology_understanding", "weight": 0.2 }, { "name": "code_correctness", "weight": 0.2 }, { "name": "data_accuracy", "weight": 0.45 }, { "name": "completeness", "weight": 0.15 } ]
task_ratti_2006
Phases of QCD: Lattice thermodynamics and a field theoretical model
Claudia Ratti, Michael A. Thaler, Wolfram Weise
2,006
10.1103/PhysRevD.73.014019
null
[ "Ratti.md" ]
[]
# Paper Reproduction Task You are given a physics paper to reproduce. Your goal is to read the paper, understand its methodology, and implement a PNJL (Polyakov-loop extended Nambu--Jona-Lasinio) model to reproduce 10 key figures. --- ## 1. Article Information | Field | Value | |-------|-------| | **Title** | Phase...
## IMPORTANT: Code-Only Mode In this task you are in **code-only mode**. You must: 1. Read and analyze the paper 2. Write `reproduction/ANALYSIS.md` with your methodology analysis 3. Implement ALL code files under `reproduction/` 4. **DO NOT** run the scripts or generate data files 5. Focus on writing correct, complet...
{ "analysis": [ "reproduction/ANALYSIS.md" ], "code": [ "reproduction/pnjl_model.py", "reproduction/fig1_2_3_pure_gauge.py", "reproduction/fig4_5_6_order_parameters.py", "reproduction/fig7_10_eos.py" ], "data": [] }
{ "analysis": [ "reproduction/ANALYSIS.md" ], "code": [ "reproduction/pnjl_model.py", "reproduction/fig1_2_3_pure_gauge.py", "reproduction/fig4_5_6_order_parameters.py", "reproduction/fig7_10_eos.py" ] }
{ "image": "python:3.11-slim", "memory_limit": "4g", "timeout": 7200, "pip_install": [ "numpy", "scipy", "matplotlib" ] }
[ { "name": "methodology_understanding", "weight": 0.2 }, { "name": "code_correctness", "weight": 0.15 }, { "name": "data_accuracy", "weight": 0.5 }, { "name": "completeness", "weight": 0.15 } ]
task_roothaan_1960
Self-Consistent Field Theory for Atomic Systems
Clemens C. J. Roothaan
1,960
10.1103/RevModPhys.32.186
null
[ "SCF theory.md", "SCF example.md" ]
[]
# Paper Reproduction Task You are given a physics paper to reproduce. Your goal is to read the paper, understand its methodology, and implement a Self-Consistent Field (SCF) solver to reproduce tables and wave functions for atomic systems. --- ## 1. Article Information | Field | Value | |-------|-------| | **Title*...
## IMPORTANT: Code-Only Mode In this task you are in **code-only mode**. You must: 1. Read and analyze the papers 2. Write `reproduction/ANALYSIS.md` with your methodology analysis 3. Implement ALL code files under `reproduction/` 4. **DO NOT** run the SCF computations or generate CSV data files 5. Focus on writing co...
{ "analysis": [ "reproduction/ANALYSIS.md" ], "code": [ "reproduction/scf_solver.py", "reproduction/table_ii_li_plus.py", "reproduction/table_iii_li.py", "reproduction/table_iv_li_minus.py", "reproduction/table_v_compromise.py", "reproduction/table_vii_li_wavefunction.py", "reprodu...
{ "analysis": [ "reproduction/ANALYSIS.md" ], "code": [ "reproduction/scf_solver.py", "reproduction/table_ii_li_plus.py", "reproduction/table_iii_li.py", "reproduction/table_iv_li_minus.py", "reproduction/table_v_compromise.py", "reproduction/table_vii_li_wavefunction.py", "reprodu...
{ "image": "python:3.11-slim", "memory_limit": "2g", "timeout": 3600, "pip_install": [ "numpy", "scipy", "matplotlib" ] }
[ { "name": "methodology_understanding", "weight": 0.2 }, { "name": "code_correctness", "weight": 0.15 }, { "name": "data_accuracy", "weight": 0.5 }, { "name": "completeness", "weight": 0.15 } ]
task_rosenbluth_1998
Poloidal Flow Driven by Ion-Temperature-Gradient Turbulence in Tokamaks
M. N. Rosenbluth, F. L. Hinton
1,998
10.1103/PhysRevLett.80.724
null
[ "rosenbluth_1998.md" ]
[]
# Paper Reproduction Task You are given a landmark theoretical physics paper to reproduce. Your goal is to read the paper, thoroughly understand its gyrokinetic methodology, and write a script to numerically evaluate the exact phase-space integrals that yield its famous residual flow coefficient. --- ## 1. Article I...
## IMPORTANT: Code-Only Mode In this task you are in **code-only mode**. You must: 1. Read and analyze the paper 2. Write `reproduction/ANALYSIS.md` with your methodology analysis 3. Implement the numerical integration script `reproduction/compute_rh_factor.py` 4. **DO NOT** execute the script to print outputs 5. Focu...
{ "analysis": [ "reproduction/ANALYSIS.md" ], "code": [ "reproduction/compute_rh_factor.py" ], "data": [ "data/results.csv" ] }
{ "analysis": [ "reproduction/ANALYSIS.md" ], "code": [ "reproduction/compute_rh_factor.py" ] }
{ "image": "python:3.11-slim", "memory_limit": "4g", "timeout": 1800, "pip_install": [ "numpy", "scipy" ] }
[ { "name": "methodology_understanding", "weight": 0.35 }, { "name": "numerical_accuracy", "weight": 0.35 }, { "name": "code_correctness", "weight": 0.2 }, { "name": "completeness", "weight": 0.1 } ]
task_shvetsov_2016
Semiclassical two-step model for strong-field ionization
N. I. Shvetsov-Shilovski et al.
2,016
10.1103/PhysRevA.94.013415
null
[ "shvetsov2016.md" ]
[]
# Paper Reproduction Task You are given a physics paper to reproduce. Your goal is to read the paper, understand its methodology, and implement a semiclassical two-step model for strong-field ionization to reproduce key figures. --- ## 1. Article Information | Field | Value | |-------|-------| | **Title** | Semicla...
## IMPORTANT: Code-Only Mode In this task you are in **code-only mode**. You must: 1. Read and analyze the paper 2. Write `reproduction/ANALYSIS.md` with your methodology analysis 3. Implement ALL code files under `reproduction/` 4. **DO NOT** run the scripts or generate CSV data files 5. Focus on writing correct, com...
{ "analysis": [ "reproduction/ANALYSIS.md" ], "code": [ "reproduction/scts_core.py", "reproduction/fig1_momentum_distribution.py", "reproduction/fig2_lowenergy_momentum.py", "reproduction/fig4_energy_spectrum.py", "reproduction/fig4_angular_distribution.py", "reproduction/fig6_sfa_mome...
{ "analysis": [ "reproduction/ANALYSIS.md" ], "code": [ "reproduction/scts_core.py", "reproduction/fig1_momentum_distribution.py", "reproduction/fig2_lowenergy_momentum.py", "reproduction/fig4_energy_spectrum.py", "reproduction/fig4_angular_distribution.py", "reproduction/fig6_sfa_mome...
{ "image": "python:3.11-slim", "memory_limit": "4g", "timeout": 10800, "pip_install": [ "numpy", "matplotlib" ] }
[ { "name": "methodology_understanding", "weight": 0.2 }, { "name": "code_correctness", "weight": 0.15 }, { "name": "data_accuracy", "weight": 0.5 }, { "name": "completeness", "weight": 0.15 } ]
End of preview. Expand in Data Studio

PRBench: Physics Paper Reproduction Benchmark

PRBench evaluates whether an AI agent can read a physics paper and reproduce its computational results from scratch: understand the method, implement the simulation or calculation without the paper's original code, run it, and produce figure/table data that a model judge compares against withheld reference results.

This repository contains the public task specifications for 31 tasks spanning plasma physics, nuclear and particle theory, lattice QCD, strong-field and attosecond physics, quantum optics, trapped-ion quantum computing, condensed matter, heavy-ion hydrodynamics, atomic structure, astrophysics, and computational electromagnetics.

What is included

Each task directory holds exactly what the solving agent is given:

File Purpose
task.yaml Task configuration: paper info, expected output files, Docker environment, grading rubric (full and code-only modes)
instruction.md The instruction sent to the agent: target figures/tables, required code files, CSV output formats, and (for most tasks) banned libraries
<paper>.md The paper, converted to Markdown (the agent's only view of the paper)
images, images/, images1/ Paper figures copied into the agent workspace (only for tasks that have them)
eosq.dat Input data file required by task_kolb_2003 (declared in input_files)

tasks.jsonl is a one-row-per-task index (paper metadata, full instruction text, expected outputs, environment, and rubric weights) that drives the dataset viewer.

What is withheld

To keep the benchmark usable for evaluation, grading references are not published:

  • metadata.md: ground-truth formulas and methodology used by the judge
  • data/: reference CSV outputs
  • reproduce/ / reproduction/: reference implementations
  • original source archives and PDFs

Fields in task.yaml such as metadata_file, ground_truth_data_dir, and ground_truth_code_dir refer to these withheld files.

Evaluation protocol

An evaluation run copies the paper Markdown, figures, and input files into an isolated Docker workspace and sends instruction.md to the agent. The agent must write:

  1. reproduction/ANALYSIS.md: its analysis of the paper's methodology,
  2. the code files listed under expected_outputs.code,
  3. the CSV files listed under expected_outputs.data.

Only after the agent finishes is the ground truth placed in the workspace, and a model judge scores the submission on the rubric dimensions in task.yaml (typically methodology understanding, code correctness, data accuracy, and completeness, with data accuracy weighted most heavily). In code-only mode, the code_only.instruction_suffix is appended to the instruction, the agent writes code without running it, and the code_only.grading rubric applies.

Loading

from datasets import load_dataset
tasks = load_dataset("Rise-AGI/PRBench", split="test")

# or fetch the full task directories
from huggingface_hub import snapshot_download
path = snapshot_download("Rise-AGI/PRBench", repo_type="dataset")

Tasks

Task ID Paper Authors Year Reference
task_bude_2021 Accelerating simulations of electromagnetic waves in hot, magnetized fusion plasmas R H S Budé, D Van Eester, J van Dijk, R J E Jaspers and A B Smolders 2021 10.1088/1361-6587/abd619
task_davighi_2024 Topological Portal to the Dark Sector Joe Davighi, Admir Greljo, Nudžeim Selimović 2024 arXiv:2401.09528
task_dimitrov_2000 Chirality of Nuclear Rotation S. Dimitrov, T. Frauendorf, F. Dönau 2000 10.1103/PhysRevLett.84.5732
task_dong_2025 Enhanced nonlinear Hall effect by Cooper pairs near the superconducting phase transition Zi-Hao Dong, Hui Yang, Yi Zhang 2025 10.1103/PhysRevB.111.155120
task_fu_2001 Classical collisional trajectories as the source of strong-field double ionization of helium in the knee regime L. B. Fu, J. Liu, J. Chen, S. G. Chen 2001 10.1103/PhysRevA.63.043416
task_fu_2008 Energetic-Particle-Induced Geodesic Acoustic Mode Guoyong Fu 2008 10.1103/PhysRevLett.101.185002
task_fukushima_2004 Chiral effective model with the Polyakov loop Kenji Fukushima 2004 10.1016/j.physletb.2004.04.027
task_gralla_2018 Observational Signature of High Spin at the Event Horizon Telescope Samuel E. Gralla, Alexandru Lupsasca, Andrew Strominger 2018 10.1093/mnras/sty039
task_harris_1989 Lasers without Inversion: Interference of Lifetime-Broadened Resonances S. E. Harris 1989 10.1103/PhysRevLett.62.1033
task_harris_1999 Nonlinear Optics at Low Light Levels S. E. Harris and Lene Vestergaard Hau 1999 10.1103/PhysRevLett.82.4611
task_ishikawa_1982 The glueball mass spectrum in QCD: first results of a lattice Monte Carlo calculation K. Ishikawa, M. Teper, G. Schierholz 1982 —
task_kolb_2003 Hydrodynamic description of ultrarelativistic heavy-ion collisions Peter F. Kolb and Ulrich Heinz 2003 nucl-th/0305084v2
task_li_2014 Classical-Quantum Correspondence for Above-Threshold Ionization Min Li, Ji-Wei Geng, Hong Liu, Yongkai Deng, Chengyin Wu, Liang-You Peng, Qihuang Gong, Yunquan Liu 2014 10.1103/PhysRevLett.112.113002
task_lin_2020 Bootstraps to Strings: Solving Random Matrix Models with Positivity Henry W. Lin 2020 arXiv:2002.08387
task_liu_2025 Scattering Entanglement Entropy and Its Implications for Electroweak Phase Transitions Jia Liu, Masanori Tanaka, Xiao-Ping Wang, Jing-Jun Zhang, Zifan Zheng 2025 arXiv:2505.06001v2
task_luscher_1991 Signatures of unstable particles in finite volume Martin Luscher 1991 10.1016/0550-3213(91)90584-K
task_monmayrant_2010 A newcomer's guide to ultrashort pulse shaping and characterization Antoine Monmayrant, Sébastien Weber, Béatrice Chatel 2010 10.1088/0953-4075/43/10/103001
task_parke_1986 Amplitude for n-Gluon Scattering Stephen J. Parke and T. R. Taylor 1986 10.1103/PhysRevLett.56.2459
task_ratti_2006 Phases of QCD: Lattice thermodynamics and a field theoretical model Claudia Ratti, Michael A. Thaler, Wolfram Weise 2006 10.1103/PhysRevD.73.014019
task_roothaan_1960 Self-Consistent Field Theory for Atomic Systems Clemens C. J. Roothaan 1960 10.1103/RevModPhys.32.186
task_rosenbluth_1998 Poloidal Flow Driven by Ion-Temperature-Gradient Turbulence in Tokamaks M. N. Rosenbluth, F. L. Hinton 1998 10.1103/PhysRevLett.80.724
task_shvetsov_2016 Semiclassical two-step model for strong-field ionization N. I. Shvetsov-Shilovski et al. 2016 10.1103/PhysRevA.94.013415
task_vautherin_1972 Hartree-Fock Calculations with Skyrme's Interaction. I. Spherical Nuclei D. Vautherin and D. M. Brink 1972 10.1103/PhysRevC.5.626
task_wang_2015 Quantum Computation under Micromotion in a Planar Ion Crystal S.-T. Wang, C. Shen, L.-M. Duan 2015 10.1038/srep08555
task_white_1993 Density-matrix algorithms for quantum renormalization groups Steven R. White 1993 10.1103/PhysRevB.48.10345
task_wu_2013 Time-domain Perspective on Autler-Townes Splitting in Attosecond Transient Absorption Mengxi Wu, Shaohao Chen, Mette B. Gaarde, Kenneth J. Schafer 2013 10.1103/PhysRevA.88.043416
task_wu_2018 Noise analysis for high-fidelity quantum entangling gates in an anharmonic linear Paul trap Yukai Wu, Sheng-Tao Wang, L.-M. Duan 2018 10.1103/PhysRevA.97.062325
task_wu_2021 High-fidelity entangling gates in a three-dimensional ion crystal under micromotion Y.-K. Wu, Z.-D. Liu, W.-D. Zhao, L.-M. Duan 2021 10.1103/PhysRevA.103.022419
task_xie_2025 Developing a linear fluid plasma model with accurate kinetic Bernstein waves: A first step Huasheng Xie 2025 10.1063/5.0274495
task_xue_2023 Generalized Quantum Measurements on a Higher-Dimensional System via Quantum Walks Peng Xue 2023 10.1103/PhysRevLett.131.150803
task_yee_1966 Numerical Solution of Initial Boundary Value Problems Involving Maxwell's Equations in Isotropic Media Kane S. Yee 1966 10.1109/TAP.1966.1138693

Notes

  • Paper Markdown was produced by automatic PDF conversion. Some image links point to external hosts or to figures that are not included.
  • Paper texts and figures remain the copyright of their original authors and publishers and are included solely for research evaluation. The MIT license applies to the task specifications (instructions, configurations, and index).
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