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Paper Citation Record · LEDGER

CADSim: Robust and Scalable in-the-wild 3D Reconstruction for Controllable Sensor Simulation

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2311.01447.

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

pith.paper-citation-record.v1
2311.01447 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:56:17.618547Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T16:39:57.888998Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 115f6f95-5471-4827-bfa8-a5ddae4f70af · inbound

MObI: Multimodal Object Inpainting Using Diffusion Models cites this paper.

MObI: Multimodal Object Inpainting Using Diffusion Models CADSim: Robust and Scalable in-the-wild 3D Reconstruction for Controllable Sensor Simulation

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-10T21:56:17.618547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:56:17.618547Z digest=sha256:e6cf4b004e9b89eb6d07fc0ca3f05dd7676cfbc71c82ea9d1b1495847c2d9786

Observation 9a7c9139-a823-44bd-a296-5ac09271b015 · inbound

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation cites this paper.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation CADSim: Robust and Scalable in-the-wild 3D Reconstruction for Controllable Sensor Simulation

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T11:12:26.328559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:12:26.328559Z digest=sha256:fe59af92a4b66f03c61cd9aaf56e12396d043729f025766563adcbf0ee8ce466

Observation 01a11bd0-a969-4622-9c3d-58c27739dd1c · inbound

SynthDrive: Scalable Real2Sim2Real Sensor Simulation Pipeline for High-Fidelity Asset Generation and Driving Data Synthesis cites this paper.

SynthDrive: Scalable Real2Sim2Real Sensor Simulation Pipeline for High-Fidelity Asset Generation and Driving Data Synthesis CADSim: Robust and Scalable in-the-wild 3D Reconstruction for Controllable Sensor Simulation

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-04T23:06:33.108304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T23:06:33.108304Z digest=sha256:cf8aa8b071883f4dc1d1b8e035499d8cfa288d10e922f2e52c1b4b29bf5ea2c8

Observation 3f0acf85-9a3e-4068-8dc2-ce080e8585c3 · inbound

Part-Level 3D Gaussian Vehicle Generation with Joint and Hinge Axis Estimation cites this paper.

Part-Level 3D Gaussian Vehicle Generation with Joint and Hinge Axis Estimation CADSim: Robust and Scalable in-the-wild 3D Reconstruction for Controllable Sensor Simulation

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:25:51.700300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T19:52:50.074000Z digest=sha256:3492c1d0eccad1eb2e59efe0c8b1414ae74e2df2e52e076abbe0aaf59c93a81e

Observation db4c84cc-210a-45e0-9242-d022d3af1d99 · inbound

Unposed-to-3D: Learning Simulation-Ready Vehicles from Real-World Images cites this paper.

Unposed-to-3D: Learning Simulation-Ready Vehicles from Real-World Images CADSim: Robust and Scalable in-the-wild 3D Reconstruction for Controllable Sensor Simulation

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:31:03.664923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T03:32:56.218448Z digest=sha256:951bfc09f9b9053ed39db3b3c2a66c5d593bb1cc74b26c4c65ae943c9b62c3a0

Observation edf92c0f-d7ee-46d6-b36d-b282c3b55295 · inbound

3DCarGen: Scalable 3D Car Generation via 3D-consistent Multi-view Synthesis cites this paper.

3DCarGen: Scalable 3D Car Generation via 3D-consistent Multi-view Synthesis CADSim: Robust and Scalable in-the-wild 3D Reconstruction for Controllable Sensor Simulation

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-07-04T16:39:57.890825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-26T00:21:05.805362Z digest=sha256:fe3ad7dc788c3d914f6ccf298275b6cbaae1b1eb18ec76db9e5e1d5c73909073

Observation ffd40339-dbc7-4b3e-802e-e7d4e4f0aa96 · inbound

3DCarGen: Scalable 3D Car Generation via 3D-consistent Multi-view Synthesis cites this paper.

3DCarGen: Scalable 3D Car Generation via 3D-consistent Multi-view Synthesis CADSim: Robust and Scalable in-the-wild 3D Reconstruction for Controllable Sensor Simulation

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-06-30T10:04:35.901045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T10:01:57.323665Z digest=sha256:3237a987f8961eadbf7056279658e988680dfd3fbb66cfde4c37310afaede435