[
  {
    "id": "R1",
    "citation": "NVIDIA. *DLSS Technology*. Official description of the current neural-rendering suite. [Official page](https://www.nvidia.com/en-us/geforce/technologies/dlss/).",
    "url": "https://www.nvidia.com/en-us/geforce/technologies/dlss/",
    "checked": "2026-09-19",
    "source_type": "primary"
  },
  {
    "id": "R2",
    "citation": "Michael L. Littman, Richard S. Sutton, Satinder Singh. *Predictive Representations of State*. Advances in Neural Information Processing Systems 14, 2001. Author list checked against the paper PDF; the proceedings landing metadata omits Singh. [Paper](https://papers.nips.cc/paper_files/paper/2001/file/1e4d36177d71bbb3558e43af9577d70e-Paper.pdf).",
    "url": "https://papers.nips.cc/paper_files/paper/2001/file/1e4d36177d71bbb3558e43af9577d70e-Paper.pdf",
    "checked": "2026-09-19",
    "source_type": "primary"
  },
  {
    "id": "R3",
    "citation": "Siddharth Joshi and Stephen Boyd. *Sensor Selection via Convex Optimization*. IEEE Transactions on Signal Processing 57(2), 451-462, 2009. [Author publication page](https://web.stanford.edu/~boyd/papers/sensor_selection.html).",
    "url": "https://web.stanford.edu/~boyd/papers/sensor_selection.html",
    "checked": "2026-09-19",
    "source_type": "primary"
  },
  {
    "id": "R4",
    "citation": "Christoph Schied et al. *Spatiotemporal Variance-Guided Filtering: Real-Time Reconstruction for Path-Traced Global Illumination*. High Performance Graphics, 2017. [Publication](https://research.nvidia.com/publication/2017-07_spatiotemporal-variance-guided-filtering-real-time-reconstruction-path-traced).",
    "url": "https://research.nvidia.com/publication/2017-07_spatiotemporal-variance-guided-filtering-real-time-reconstruction-path-traced",
    "checked": "2026-09-19",
    "source_type": "primary"
  },
  {
    "id": "R5",
    "citation": "Chakravarty R. Alla Chaitanya et al. *Interactive Reconstruction of Monte Carlo Image Sequences using a Recurrent Denoising Autoencoder*. SIGGRAPH, 2017. [Publication](https://research.nvidia.com/publication/2017-07_interactive-reconstruction-monte-carlo-image-sequences-using-recurrent).",
    "url": "https://research.nvidia.com/publication/2017-07_interactive-reconstruction-monte-carlo-image-sequences-using-recurrent",
    "checked": "2026-09-19",
    "source_type": "primary"
  },
  {
    "id": "R6",
    "citation": "Thomas Muller, Fabrice Rousselle, Jan Novak, Alexander Keller. *Real-time Neural Radiance Caching for Path Tracing*. ACM Transactions on Graphics, 2021. [Publication](https://research.nvidia.com/publication/2021-06_real-time-neural-radiance-caching-path-tracing).",
    "url": "https://research.nvidia.com/publication/2021-06_real-time-neural-radiance-caching-path-tracing",
    "checked": "2026-09-19",
    "source_type": "primary"
  },
  {
    "id": "R7",
    "citation": "Benedikt Bitterli et al. *Spatiotemporal reservoir resampling for real-time ray tracing with dynamic direct lighting*. ACM Transactions on Graphics, 2020. [Publication](https://research.nvidia.com/publication/2020-07_spatiotemporal-reservoir-resampling-real-time-ray-tracing-dynamic-direct).",
    "url": "https://research.nvidia.com/publication/2020-07_spatiotemporal-reservoir-resampling-real-time-ray-tracing-dynamic-direct",
    "checked": "2026-09-19",
    "source_type": "primary"
  },
  {
    "id": "R8",
    "citation": "Zheng Zeng et al. *ReSTIR PG: Path Guiding with Spatiotemporally Resampled Paths*. SIGGRAPH Asia Conference Track, 2025. [Publication](https://research.nvidia.com/labs/rtr/publication/zeng2025restirpg/).",
    "url": "https://research.nvidia.com/labs/rtr/publication/zeng2025restirpg/",
    "checked": "2026-09-19",
    "source_type": "primary"
  },
  {
    "id": "R9",
    "citation": "Pengpei Hong et al. *Multi-Layer Reservoir Splatting for Temporal Reuse under Disocclusion*. SIGGRAPH Conference Track, 2026. [Publication](https://research.nvidia.com/labs/rtr/publication/hong2026multilayer/).",
    "url": "https://research.nvidia.com/labs/rtr/publication/hong2026multilayer/",
    "checked": "2026-09-19",
    "source_type": "primary"
  },
  {
    "id": "R10",
    "citation": "Bing Xu et al. *A Generalizable Light Transport 3D Embedding for Global Illumination*. SIGGRAPH Conference Track, 2026. [Publication](https://research.nvidia.com/labs/rtr/publication/xu2026generalizable/).",
    "url": "https://research.nvidia.com/labs/rtr/publication/xu2026generalizable/",
    "checked": "2026-09-19",
    "source_type": "primary"
  },
  {
    "id": "R11",
    "citation": "Ben Mildenhall et al. *NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis*. ECCV, 2020. [Preprint](https://arxiv.org/abs/2003.08934).",
    "url": "https://arxiv.org/abs/2003.08934",
    "checked": "2026-09-19",
    "source_type": "primary"
  },
  {
    "id": "R12",
    "citation": "Bernhard Kerbl, Georgios Kopanas, Thomas Leimkuhler, George Drettakis. *3D Gaussian Splatting for Real-Time Radiance Field Rendering*. ACM Transactions on Graphics, 2023. [Preprint](https://arxiv.org/abs/2308.04079).",
    "url": "https://arxiv.org/abs/2308.04079",
    "checked": "2026-09-19",
    "source_type": "primary"
  },
  {
    "id": "R13",
    "citation": "Thomas Muller, Alex Evans, Christoph Schied, Alexander Keller. *Instant Neural Graphics Primitives with a Multiresolution Hash Encoding*. ACM Transactions on Graphics, 2022. [Project and publication](https://nvlabs.github.io/instant-ngp/).",
    "url": "https://nvlabs.github.io/instant-ngp/",
    "checked": "2026-09-19",
    "source_type": "primary"
  },
  {
    "id": "R14",
    "citation": "Tizian Zeltner et al. *Real-Time Neural Appearance Models*. ACM Transactions on Graphics, 2024. [Project and publication](https://research.nvidia.com/labs/rtr/neural_appearance_models/).",
    "url": "https://research.nvidia.com/labs/rtr/neural_appearance_models/",
    "checked": "2026-09-19",
    "source_type": "primary"
  },
  {
    "id": "R15",
    "citation": "Liwen Wu et al. *8DNA: 8D Neural Asset Light Transport by Distribution Learning*. SIGGRAPH Conference Track, 2026. [Publication](https://research.nvidia.com/labs/rtr/publication/wu20268dna/).",
    "url": "https://research.nvidia.com/labs/rtr/publication/wu20268dna/",
    "checked": "2026-09-19",
    "source_type": "primary"
  },
  {
    "id": "R16",
    "citation": "Thomas Muller, Fabrice Rousselle, Alexander Keller, Jan Novak. *Neural Control Variates*. ACM Transactions on Graphics, 2020. [Publication](https://research.nvidia.com/publication/2020-11_neural-control-variates).",
    "url": "https://research.nvidia.com/publication/2020-11_neural-control-variates",
    "checked": "2026-09-19",
    "source_type": "primary"
  },
  {
    "id": "R17",
    "citation": "Matt Pharr, Wenzel Jakob, Greg Humphreys. *Physically Based Rendering: From Theory to Implementation*, fourth edition, 2023. Monte Carlo Integration, Improving Efficiency. [Book chapter](https://www.pbr-book.org/4ed/Monte_Carlo_Integration/Improving_Efficiency).",
    "url": "https://www.pbr-book.org/4ed/Monte_Carlo_Integration/Improving_Efficiency",
    "checked": "2026-09-19",
    "source_type": "primary"
  },
  {
    "id": "R18",
    "title": "Neural Control Variates with Automatic Integration",
    "authors": "Zilu Li et al.",
    "year": 2024,
    "url": "https://arxiv.org/abs/2409.15394",
    "checked": "2026-09-19",
    "use": "Prior art for integrable neural control variates"
  },
  {
    "id": "R19",
    "citation": "Stefan Popov, Iliyan Georgiev, Philipp Slusallek, Carsten Dachsbacher. Adaptive Quantization Visibility Caching. Computer Graphics Forum, EUROGRAPHICS, 2013.",
    "url": "https://iliyan.com/publications/VisibilityCaching/",
    "checked": "2026-09-19",
    "source_type": "primary",
    "access": "Primary author page read; full 34 MB PDF fetch was blocked by size."
  },
  {
    "id": "R20",
    "citation": "Justus Ulbrich, Jan Novak, Hauke Rehfeld, Carsten Dachsbacher. Progressive Visibility Caching for Fast Indirect Illumination. VMV, 2013.",
    "url": "https://jannovak.info/publications/PVCFID/index.html",
    "checked": "2026-09-19",
    "source_type": "primary",
    "access": "Primary author publication page read."
  },
  {
    "id": "R21",
    "citation": "Julien Basch, Leonidas J. Guibas, John Hershberger. Data Structures for Mobile Data. SODA, 1997; Journal of Algorithms, 1999.",
    "url": "https://www.sciencedirect.com/science/article/pii/S0196677498909889",
    "checked": "2026-09-19",
    "source_type": "primary",
    "access": "Publisher/OSTI search metadata only; full pages unavailable. Background antecedent, not a source for new proofs."
  },
  {
    "id": "R22",
    "citation": "Miguel Crespo, Felix Bernal, Adrian Jarabo, Adolfo Munoz. Primary-Space Adaptive Control Variates using Piecewise-Polynomial Approximations. 2020.",
    "url": "https://arxiv.org/abs/2008.06722",
    "checked": "2026-09-19",
    "source_type": "primary",
    "access": "Primary arXiv abstract read."
  }
]