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Paper Citation Record · LEDGER

RenderWorld: World Model with Self-Supervised 3D Label

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2409.11356.

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

pith.paper-citation-record.v1
2409.11356 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:13:48.094190Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T07:14:45.121873Z

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 deef4573-90b9-4c29-8729-68891a94863f · inbound

Physically Interpretable World Models via Weakly Supervised Representation Learning cites this paper.

Physically Interpretable World Models via Weakly Supervised Representation Learning RenderWorld: World Model with Self-Supervised 3D Label

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-05-23T07:02:41.432688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T07:00:46.917344Z digest=sha256:71b3a68741ea84dbc11068331226f3d8918c697fe3cc25f7175e2c2316efb774

Observation b4366469-57ce-43cd-ab3c-ccbc6dff6753 · inbound

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control cites this paper.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control RenderWorld: World Model with Self-Supervised 3D Label

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-07T13:13:48.094190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:13:48.094190Z digest=sha256:2750e4b6218657401f002741a5faebd81918b6d807eb59ac5b109027af77af1d

Observation c5bb20dd-ea73-41fa-96fc-47fab51b52bb · inbound

QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction cites this paper.

QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction RenderWorld: World Model with Self-Supervised 3D Label

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T04:19:24.771073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:19:24.771073Z digest=sha256:b990d1e459fafed9740a54a734846d8dffe31e1cb796ed7895827ab59c724e97

Observation 35dce14c-04aa-4d4e-affd-231a24ef1861 · inbound

COME: Adding Scene-Centric Forecasting Control to Occupancy World Model cites this paper.

COME: Adding Scene-Centric Forecasting Control to Occupancy World Model RenderWorld: World Model with Self-Supervised 3D Label

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T00:41:32.077815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:41:32.077815Z digest=sha256:1747bf8c1ea9ca5f75e9aab1616b9313e85dabae905d2997860e56f3756c856d

Observation 9a21fd56-40f5-4bdb-a8b9-00f5774e2009 · inbound

ICM-Fusion: In-Context Meta-Optimized LoRA Fusion for Multi-Task Adaptation cites this paper.

ICM-Fusion: In-Context Meta-Optimized LoRA Fusion for Multi-Task Adaptation RenderWorld: World Model with Self-Supervised 3D Label

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-06T00:56:01.784657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T00:56:01.784657Z digest=sha256:df3785dd9fdd9101f9dd5fe884399565f72bcf39d28df2ab32243903725954af

Observation a473cd25-a1ab-4d80-8798-767ed4d65a06 · inbound

Foundation Models for Autonomous Driving Perception: A Survey Through Core Capabilities cites this paper.

Foundation Models for Autonomous Driving Perception: A Survey Through Core Capabilities RenderWorld: World Model with Self-Supervised 3D Label

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-04T20:52:06.391983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:52:06.391983Z digest=sha256:8f301de88e41b6f4a7e93c6ec5afb6eefb73172864ad010ef629db657018dd70

Observation 5ea04341-28ea-447d-b6c1-799087b87a69 · inbound

Semantic Causality-Aware Vision-Based 3D Occupancy Prediction cites this paper.

Semantic Causality-Aware Vision-Based 3D Occupancy Prediction RenderWorld: World Model with Self-Supervised 3D Label

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-04T20:49:00.193227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:49:00.193227Z digest=sha256:6c20399c95ea5a672bb3e14554d60e41ed2e6c3b5d2777f7a8bf555c0a2a6282

Observation b4471553-f03a-42ac-bdeb-e1219375c530 · inbound

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model cites this paper.

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model RenderWorld: World Model with Self-Supervised 3D Label

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-17T05:29:05.016706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-17T05:26:34.859975Z digest=sha256:9b902df702dc02ec9390a7a58687ff4e43e8b0bdc00aab108e4b39b924fb0649

Observation 33520028-dd4c-4edc-ae7b-cb487020c75f · inbound

STaR-Quant: State-Time Consistent Post-Training Quantization for Diffusion Large Language Models cites this paper.

STaR-Quant: State-Time Consistent Post-Training Quantization for Diffusion Large Language Models RenderWorld: World Model with Self-Supervised 3D Label

Reference 91

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:06:43.728747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-28T07:14:26.441339Z digest=sha256:90c3d2564b324f5743573e72720956915edd3a2f8477b844a8691216befbc237

Observation ae5552a0-c658-4d9e-af06-bc995033fdfe · inbound

CascadeOcc: Rethinking 3D Occupancy World Models with Cascaded VQ Representations cites this paper.

CascadeOcc: Rethinking 3D Occupancy World Models with Cascaded VQ Representations RenderWorld: World Model with Self-Supervised 3D Label

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-07-01T19:06:03.494454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T00:31:18.101634Z digest=sha256:e50ecb45de3f1e2c8652221d99f35002627525a730d8317eac3483cb5612c101

Observation 64bd40ed-2d6a-4b72-bb44-96bce2f3d763 · inbound

A Definition and Roadmap for World Models cites this paper.

A Definition and Roadmap for World Models RenderWorld: World Model with Self-Supervised 3D Label

Reference 201

Resolution
verified exact
local_arxiv, observed 2026-07-08T07:14:45.124291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-07-08T07:10:33.826140Z digest=sha256:63f9e9b011bf9674d283e4d7ba40d4462fdb24bd8d0da9bf0b34a4998b2d0aa6