Paper Citation Record · LEDGER

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer

As of 18 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:1908.01210.

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

pith.paper-citation-record.v1
1908.01210 v2

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:23:55.750200Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

40 of 40 outbound references displayed

verified exact2
verified fuzzy25
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 117d9b18-12a2-42fc-aaff-fee98f68f541 · outbound

This paper cites Learning Representations and Generative Models for 3D Point Clouds.

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer Learning Representations and Generative Models for 3D Point Clouds

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-14T15:23:55.457558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f892be86-8375-429b-b455-369c23c1b180 · outbound

This paper cites Wasserstein GAN.

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer Wasserstein GAN

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-14T15:23:55.466266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f92b3400-b91e-45ff-91ae-4b91bdfe13e9 · outbound

This paper cites ShapeNet: An Information-Rich 3D Model Repository.

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer ShapeNet: An Information-Rich 3D Model Repository

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-14T15:23:55.476273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94fe8313-e64b-4ed8-baaa-fa0a7d3ab9c0 · outbound

This paper cites Unsupervised training for 3d morphable model regression.

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer Unsupervised training for 3d morphable model regression

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:57.246517Z

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.

Observation b664f3ea-ca00-4531-b945-57c543d3900d · outbound

This paper cites Generative adversarial nets.

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer Generative adversarial nets

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-14T15:23:55.497956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bb4a7d7-9aea-4f11-8f14-ffa325c9cb3b · outbound

This paper cites Hierarchical z-buffer visibility.

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer Hierarchical z-buffer visibility

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:57.207823Z

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.

Observation d93a871f-0959-4d15-a9f3-886eaa3fcce3 · outbound

This paper cites Improved training of wasserstein gans.

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer Improved training of wasserstein gans

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:57.182047Z

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.

Observation 31bbb3b9-f7d1-4bf4-8be4-ee411011d13e · outbound

This paper cites Mask R-CNN.

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer Mask R-CNN

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-14T15:23:55.514458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9917f15-f686-4efb-b85e-f8c527a563fe · outbound

This paper cites Deep residual learning for image recognition.

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer Deep residual learning for image recognition

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-14T15:23:55.519763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8317db2d-754b-4f87-a6ac-72e47c8178d0 · outbound

This paper cites Learning to Generate and Reconstruct 3D Meshes with only 2D Supervision.

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer Learning to Generate and Reconstruct 3D Meshes with only 2D Supervision

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-14T15:23:56.065217Z

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.

Observation ecfa1676-4c52-466d-9445-51d3e767530d · outbound

This paper cites Unsupervised learning of shape and pose with differentiable point clouds.

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer Unsupervised learning of shape and pose with differentiable point clouds

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:57.143589Z

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.

Observation cd90439f-d5ed-4ca2-a3b9-f4b9f25d039b · outbound

This paper cites Image-to-image translation with conditional adversarial networks.

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer Image-to-image translation with conditional adversarial networks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-14T15:23:55.549283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee9a8673-5f1a-4670-b5d1-07c344a777ac · outbound

This paper cites Learning category-speciﬁc mesh reconstruction from image collections.

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer Learning category-speciﬁc mesh reconstruction from image collections

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:57.095436Z

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.

Observation 4ea0f152-2e3c-4d88-afee-d79754685e53 · outbound

This paper cites Neural 3d mesh renderer.

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer Neural 3d mesh renderer

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:57.068427Z

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.

Observation d14e62bc-8725-4dce-be58-4bff9cf907ca · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer Adam: A Method for Stochastic Optimization

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-14T15:23:55.568319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cafd5225-1242-4352-bc75-70a006f991df · outbound

This paper cites an unresolved cited work.

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-14T15:23:57.031136Z

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.

Observation 605d41be-f05a-4004-840a-f02f266e87b9 · outbound

This paper cites Differentiable monte carlo ray tracing through edge sampling.

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer Differentiable monte carlo ray tracing through edge sampling

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:56.998370Z

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.

Observation cc055b11-b244-4be4-a05e-5991f80e2a43 · outbound

This paper cites Paparazzi: Surface editing by way of multi-view image processing.

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer Paparazzi: Surface editing by way of multi-view image processing

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:56.971716Z

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.

Observation 8bdf0a71-e03a-47c9-a4a7-19b081cb6eac · outbound

This paper cites Beyond pixel norm-balls: Parametric adversaries using an analytically differentiable renderer.

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer Beyond pixel norm-balls: Parametric adversaries using an analytically differentiable renderer

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:56.935611Z

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.

Observation 95acb810-1176-469c-95f6-ebf24be9cc6f · outbound

This paper cites Soft Rasterizer: Differentiable Rendering for Unsupervised Single-View Mesh Reconstruction.

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer Soft Rasterizer: Differentiable Rendering for Unsupervised Single-View Mesh Reconstruction

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-14T15:23:55.596475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37698186-5107-42bc-b118-1d531b10393d · outbound

This paper cites Soft rasterizer: A differentiable renderer for image-based 3d reasoning, 2019.

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer Soft rasterizer: A differentiable renderer for image-based 3d reasoning, 2019

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:56.903512Z

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.

Observation f7d31582-9663-458c-92ab-814d4ef199d6 · outbound

This paper cites Opendr: An approximate differentiable renderer.

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer Opendr: An approximate differentiable renderer

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:56.868036Z

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.

Observation 620d8665-96a3-4b90-8f99-a66f1f3ae647 · outbound

This paper cites Introduction to 3D game programming with DirectX 11.

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer Introduction to 3D game programming with DirectX 11

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:56.835067Z

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.

Observation 1d6eb018-b52b-4fb7-b648-f9c9bcae07fa · outbound

This paper cites Conditional Generative Adversarial Nets.

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer Conditional Generative Adversarial Nets

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-14T15:23:55.617940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4b914be-1c53-4c52-bbf8-bd28a0b69ea8 · outbound

This paper cites Pix2Vex: Image-to-Geometry Reconstruction using a Smooth Differentiable Renderer.

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer Pix2Vex: Image-to-Geometry Reconstruction using a Smooth Differentiable Renderer

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-14T15:23:55.625716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1637256-1b61-4f8b-b940-91e2f2509543 · outbound

This paper cites Illumination for computer generated pictures.

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer Illumination for computer generated pictures

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:56.796539Z

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.

Observation b7dfdb5d-cbb5-4eff-a0fd-e34ae756fc1a · outbound

This paper cites An efﬁcient representation for irradiance environment maps.

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer An efﬁcient representation for irradiance environment maps

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:56.767864Z

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.

Observation 668366bb-fd37-4d28-99c0-46407190446b · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer U-net: Convolutional networks for biomedical image segmentation

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-14T15:23:55.643946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3913163-05f2-4368-89c7-ed6196fff9ac · outbound

This paper cites GEOMetrics: Exploiting geometric structure for graph-encoded objects.

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer GEOMetrics: Exploiting geometric structure for graph-encoded objects

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:56.694768Z

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.

Observation c13f70dc-44d6-42dc-9b17-9e3ffcc74460 · outbound

This paper cites Improved adversarial systems for 3d object generation and reconstruction.

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer Improved adversarial systems for 3d object generation and reconstruction

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:56.665633Z

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.

Observation 26c13ff4-e24c-4fdd-b59e-af3c14d6051a · outbound

This paper cites Unsupervised 3D Shape Learning from Image Collections in the Wild.

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer Unsupervised 3D Shape Learning from Image Collections in the Wild

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-14T15:23:55.843491Z

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.

Observation ac44acec-265a-4d72-a6cb-15ccb08a47de · outbound

This paper cites What do single-view 3d reconstruction networks learn? In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 3405–3414, 2019.

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer What do single-view 3d reconstruction networks learn? In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 3405–3414, 2019

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:56.605301Z

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.

Observation 2d9264e2-6f99-4658-ad5d-c7e66b6bd160 · outbound

This paper cites Pixel2mesh: Generating 3d mesh models from single rgb images.

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer Pixel2mesh: Generating 3d mesh models from single rgb images

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:56.576200Z

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.

Observation ee1f945a-a578-47ec-b835-9768a4e9a38a · outbound

This paper cites High- resolution image synthesis and semantic manipulation with conditional gans.

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer High- resolution image synthesis and semantic manipulation with conditional gans

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:56.547314Z

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.

Observation 1cdfb232-585b-42f2-b2ac-a1905c484239 · outbound

This paper cites Welinder, S.

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer Welinder, S

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:56.515510Z

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.

Observation d1fb8777-f521-4929-a967-e1b362eb7146 · outbound

This paper cites OpenGL programming guide: the ofﬁcial guide to learning OpenGL, version 1.2.

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer OpenGL programming guide: the ofﬁcial guide to learning OpenGL, version 1.2

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:56.477208Z

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.

Observation b9a67ced-4b20-471d-a51e-0ca90f563b28 · outbound

This paper cites Learning shape priors for single-view 3d completion and reconstruction.

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer Learning shape priors for single-view 3d completion and reconstruction

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:56.421186Z

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.

Observation fd905c7a-6533-404e-9c96-1886b183fbf6 · outbound

This paper cites Beyond pascal: A benchmark for 3d object detection in the wild.

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer Beyond pascal: A benchmark for 3d object detection in the wild

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:56.388756Z

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.

Observation c0d706a4-2598-4d70-b5a2-3773e9ed5c96 · outbound

This paper cites 3d object reconstruction from a single depth view with adversarial learning.

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer 3d object reconstruction from a single depth view with adversarial learning

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:56.340965Z

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.

Observation 1d986742-2cbb-48ae-8133-a0641f8697a9 · outbound

This paper cites 3d-aware scene manipulation via inverse graphics.

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer 3d-aware scene manipulation via inverse graphics

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:56.289711Z

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.

Pith citing papers

No inbound Pith citation observations are available.