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Paper Citation Record · LEDGER

Stochastic Gradient Estimation for Higher-order Differentiable Rendering

As of 18 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2412.03489.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2412.03489 v3

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:28:56.737286Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

39 of 39 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6bb97522-f981-4e9c-963e-81eef3051042 · outbound

This paper cites Derivative-free optimization of noisy functions via quasi- newton methods.

Stochastic Gradient Estimation for Higher-order Differentiable Rendering Derivative-free optimization of noisy functions via quasi- newton methods

Reference 1

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Observation 2fbfd1e6-86cd-460a-8e7a-71b3a10c3ece · outbound

This paper cites Solving transcendental equations: the Cheby- shev polynomial proxy and other numerical rootfinders, per- turbation series, and oracles.

Stochastic Gradient Estimation for Higher-order Differentiable Rendering Solving transcendental equations: the Cheby- shev polynomial proxy and other numerical rootfinders, per- turbation series, and oracles

Reference 2

Resolution
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Observation 1885e23c-1cb6-45ec-abc8-6616837d9f91 · outbound

This paper cites A nonlinear primal-dual method for total variation-based image restora- tion.

Stochastic Gradient Estimation for Higher-order Differentiable Rendering A nonlinear primal-dual method for total variation-based image restora- tion

Reference 3

Resolution
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Observation cee6aaa2-3812-4066-bda6-5dfdad34b900 · outbound

This paper cites Smooth in- terpretation.

Stochastic Gradient Estimation for Higher-order Differentiable Rendering Smooth in- terpretation

Reference 4

Resolution
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Observation cd8875af-dda6-4e98-94eb-6c4b689ebbc9 · outbound

This paper cites Transform- ing a non-differentiable rasterizer into a differentiable one with stochastic gradient estimation.

Stochastic Gradient Estimation for Higher-order Differentiable Rendering Transform- ing a non-differentiable rasterizer into a differentiable one with stochastic gradient estimation

Reference 5

Resolution
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Observation 0e08c73d-bd27-48ee-8c58-ac0a54e2afd0 · outbound

This paper cites Acorns: An easy-to-use code generator for gradients and hessians.

Stochastic Gradient Estimation for Higher-order Differentiable Rendering Acorns: An easy-to-use code generator for gradients and hessians

Reference 6

Resolution
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Observation 54cd80f8-1428-49e2-ac27-b3ae8cc8fac3 · outbound

This paper cites Plateau-reduced differ- entiable path tracing.

Stochastic Gradient Estimation for Higher-order Differentiable Rendering Plateau-reduced differ- entiable path tracing

Reference 7

Resolution
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Observation ab1405d3-5ebd-426a-994f-c66b0d96b9d4 · outbound

This paper cites Zerograds: Learning local surrogates for non-differentiable graphics.

Stochastic Gradient Estimation for Higher-order Differentiable Rendering Zerograds: Learning local surrogates for non-differentiable graphics

Reference 8

Resolution
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Observation 23696d1d-5e90-489a-a939-4d680c396726 · outbound

This paper cites A rapidly convergent descent method for minimization.

Stochastic Gradient Estimation for Higher-order Differentiable Rendering A rapidly convergent descent method for minimization

Reference 9

Resolution
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Observation 6fa99bf6-9dd6-4037-8e5c-a0b3916cf38d · outbound

This paper cites Adapting arbi- trary normal mutation distributions in evolution strategies: The covariance matrix adaptation.

Stochastic Gradient Estimation for Higher-order Differentiable Rendering Adapting arbi- trary normal mutation distributions in evolution strategies: The covariance matrix adaptation

Reference 10

Resolution
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Observation c1912e30-d14d-4dc7-bc24-e3279451c691 · outbound

This paper cites Large scale multi-view stereopsis evalu- ation.

Stochastic Gradient Estimation for Higher-order Differentiable Rendering Large scale multi-view stereopsis evalu- ation

Reference 11

Resolution
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Observation 8391fd7e-f796-44ae-ab9d-f0558b3be10e · outbound

This paper cites The rendering equation.

Stochastic Gradient Estimation for Higher-order Differentiable Rendering The rendering equation

Reference 12

Resolution
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Observation c6746cd0-6b00-4da2-9a25-927743730a17 · outbound

This paper cites Geo- metric modeling in shape space.

Stochastic Gradient Estimation for Higher-order Differentiable Rendering Geo- metric modeling in shape space

Reference 13

Resolution
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Observation 16b61086-ad1c-439a-b683-aa1b9ec9e550 · outbound

This paper cites Fast image deconvolution using hyper-Laplacian priors.

Stochastic Gradient Estimation for Higher-order Differentiable Rendering Fast image deconvolution using hyper-Laplacian priors

Reference 14

Resolution
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Source-reported events for the cited work

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Observation 6dec90d6-fc4d-43c7-8f43-71c7efe96342 · outbound

This paper cites Soft ras- terizer: A differentiable renderer for image-based 3d reason- ing.

Stochastic Gradient Estimation for Higher-order Differentiable Rendering Soft ras- terizer: A differentiable renderer for image-based 3d reason- ing

Reference 15

Resolution
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Source-reported events for the cited work

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Observation bfd9465d-8ad5-4d77-916d-2b46362386ad · outbound

This paper cites OpenDR: An ap- proximate differentiable renderer.

Stochastic Gradient Estimation for Higher-order Differentiable Rendering OpenDR: An ap- proximate differentiable renderer

Reference 16

Resolution
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Observation 137d0f1d-06bb-4185-ac4b-5e5e3e338f81 · outbound

This paper cites New insights and perspectives on the natural gradient method.

Stochastic Gradient Estimation for Higher-order Differentiable Rendering New insights and perspectives on the natural gradient method

Reference 17

Resolution
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Source-reported events for the cited work

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Observation d98e1d67-c62c-4430-9671-6d077c401ebd · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view syn- thesis.

Stochastic Gradient Estimation for Higher-order Differentiable Rendering Nerf: Representing scenes as neural radiance fields for view syn- thesis

Reference 18

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 87b7e35c-5d46-44ae-b0f9-ca5ce0967522 · outbound

This paper cites Large steps in inverse rendering of geometry.

Stochastic Gradient Estimation for Higher-order Differentiable Rendering Large steps in inverse rendering of geometry

Reference 19

Resolution
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Source-reported events for the cited work

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Observation 649b0eb2-6162-40a2-a09a-ae7e5edd81c4 · outbound

This paper cites Mitsuba 2: A retargetable forward and inverse renderer.

Stochastic Gradient Estimation for Higher-order Differentiable Rendering Mitsuba 2: A retargetable forward and inverse renderer

Reference 20

Resolution
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Source-reported events for the cited work

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Observation f96c082e-2be5-4109-afd7-e45ff6dde1e5 · outbound

This paper cites Radiative backpropagation: an adjoint method for lightning-fast differentiable rendering.

Stochastic Gradient Estimation for Higher-order Differentiable Rendering Radiative backpropagation: an adjoint method for lightning-fast differentiable rendering

Reference 21

Resolution
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Source-reported events for the cited work

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Observation 02704161-9783-47f9-9a49-60cdbc865c04 · outbound

This paper cites Numerical optimiza- tion.

Stochastic Gradient Estimation for Higher-order Differentiable Rendering Numerical optimiza- tion

Reference 22

Resolution
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Source-reported events for the cited work

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Observation 9aae98b0-ac9a-464b-be9a-0c105e959f7e · outbound

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Stochastic Gradient Estimation for Higher-order Differentiable Rendering Safe and effective importance sam- pling

Reference 23

Resolution
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Source-reported events for the cited work

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Observation 1beb32e4-1e00-4919-b819-3687facdbfae · outbound

This paper cites Fast exact multiplication by the hes- sian.

Stochastic Gradient Estimation for Higher-order Differentiable Rendering Fast exact multiplication by the hes- sian

Reference 24

Resolution
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Source-reported events for the cited work

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Observation 66b69ae0-52d6-4a4e-86b0-de0dc72ac158 · outbound

This paper cites Algorithms for nonlinear constraints that use lagrangian functions.

Stochastic Gradient Estimation for Higher-order Differentiable Rendering Algorithms for nonlinear constraints that use lagrangian functions

Reference 25

Resolution
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Source-reported events for the cited work

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Observation bea61a10-0b61-42df-9641-340371acec2b · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Stochastic Gradient Estimation for Higher-order Differentiable Rendering Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 26

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Source-reported events for the cited work

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This paper cites An overview of gradient descent optimization algorithms.

Stochastic Gradient Estimation for Higher-order Differentiable Rendering An overview of gradient descent optimization algorithms

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f7c55d18-afe2-42ab-ac57-1f64cc437b5c · outbound

This paper cites Texture mapping progressive meshes.

Stochastic Gradient Estimation for Higher-order Differentiable Rendering Texture mapping progressive meshes

Reference 28

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Source-reported events for the cited work

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Observation 1cd27831-3ee5-45b0-a1af-549c1c0ff2fc · outbound

This paper cites Conditioning of quasi-newton methods for function minimization.

Stochastic Gradient Estimation for Higher-order Differentiable Rendering Conditioning of quasi-newton methods for function minimization

Reference 29

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Source-reported events for the cited work

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Observation 6fcc40ec-207f-43b5-a366-2d4fd0c7dbd3 · outbound

This paper cites Adjustment of an inverse matrix correspond- ing to changes in the elements of a given column or row of the original matrix.

Stochastic Gradient Estimation for Higher-order Differentiable Rendering Adjustment of an inverse matrix correspond- ing to changes in the elements of a given column or row of the original matrix

Reference 30

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 2d0aedc9-6a5b-4daa-bcd7-0b8fd2e20a04 · outbound

This paper cites An introduction to the conju- gate gradient method without the agonizing pain.

Stochastic Gradient Estimation for Higher-order Differentiable Rendering An introduction to the conju- gate gradient method without the agonizing pain

Reference 31

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 55cc9536-f14b-4ddd-9703-d17f386595dc · outbound

This paper cites Multivariate stochastic approximation using a simultaneous perturbation gradient approximation.

Stochastic Gradient Estimation for Higher-order Differentiable Rendering Multivariate stochastic approximation using a simultaneous perturbation gradient approximation

Reference 32

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Source-reported events for the cited work

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Observation 49f38c2a-ca69-45b5-b854-01b27342f0d9 · outbound

This paper cites Optimally combining sampling techniques for Monte Carlo rendering.

Stochastic Gradient Estimation for Higher-order Differentiable Rendering Optimally combining sampling techniques for Monte Carlo rendering

Reference 33

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 3bd7dbe9-f62d-45cf-8d9c-85c889a64e31 · outbound

This paper cites Path re- play backpropagation: differentiating light paths using con- stant memory and linear time.

Stochastic Gradient Estimation for Higher-order Differentiable Rendering Path re- play backpropagation: differentiating light paths using con- stant memory and linear time

Reference 34

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 5e6bfed1-2d59-454b-b76b-d925b7b2a000 · outbound

This paper cites Backpropagation: Past and future.

Stochastic Gradient Estimation for Higher-order Differentiable Rendering Backpropagation: Past and future

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:56.849956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T22:28:56.722394Z digest=sha256:bbb246641b5a28e02422994927f0c5b61faff78873f4d43d89fe92bdfb22f2ea

Observation 4e2c5ba5-12bd-49d0-8893-5dd4e4a9d5f1 · outbound

This paper cites Anisotropic huber-l1 optical flow.

Stochastic Gradient Estimation for Higher-order Differentiable Rendering Anisotropic huber-l1 optical flow

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:56.838425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T22:28:56.726154Z digest=sha256:ea9eafa6b6b556943650bae51eb98415d7a2ba710a127ead1c1c2c47cd5533b2

Observation e95ed0b2-32ff-4fad-95a5-b337dbf050dc · outbound

This paper cites Adahessian: An adap- tive second order optimizer for machine learning.

Stochastic Gradient Estimation for Higher-order Differentiable Rendering Adahessian: An adap- tive second order optimizer for machine learning

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:56.825768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T22:28:56.729984Z digest=sha256:d5930608254309b154dc6b90b21d8d6353fa477086a3b370d8a52e72fe81a367

Observation a4bf8517-b15c-41e0-9c3c-56d377d7d29e · outbound

This paper cites Inverse global illumination: Recovering reflectance models of real scenes from photographs.

Stochastic Gradient Estimation for Higher-order Differentiable Rendering Inverse global illumination: Recovering reflectance models of real scenes from photographs

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:56.812951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T22:28:56.733621Z digest=sha256:a8983a613e5672e92397fbf4c37d5127d0b08e056f37e01f06ab8f8ab33cc27c

Observation 4bf0bba3-6c7b-4b90-b707-f69489a57236 · outbound

This paper cites A du- ality based approach for realtime TV-L1 optical flow.

Stochastic Gradient Estimation for Higher-order Differentiable Rendering A du- ality based approach for realtime TV-L1 optical flow

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:28:56.798757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T22:28:56.737286Z digest=sha256:cd5890ba34a762f623e120bbc5c047d8e1b25f754718c968ecfd43000d0bb3f0

Pith citing papers

No inbound Pith citation observations are available.