Paper Citation Record · LEDGER

SURDS: Benchmarking Spatial Understanding and Reasoning in Driving Scenarios with Vision Language Models

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2411.13112.

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

pith.paper-citation-record.v1
2411.13112 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:08:21.164171Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-05T11:41:02.531094Z

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 aa0a3c5e-1280-4dab-90ea-ba742cf20f41 · inbound

Descriptor: Distance-Annotated Traffic Perception Question Answering (DTPQA) cites this paper.

Descriptor: Distance-Annotated Traffic Perception Question Answering (DTPQA) SURDS: Benchmarking Spatial Understanding and Reasoning in Driving Scenarios with Vision Language Models

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-17T21:45:17.951962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7449410f-6457-4048-a8a8-a6799a105b49 · inbound

OmniDrive-R1: Reinforcement-driven Interleaved Multi-modal Chain-of-Thought for Trustworthy Vision-Language Autonomous Driving cites this paper.

OmniDrive-R1: Reinforcement-driven Interleaved Multi-modal Chain-of-Thought for Trustworthy Vision-Language Autonomous Driving SURDS: Benchmarking Spatial Understanding and Reasoning in Driving Scenarios with Vision Language Models

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-16T22:38:37.804166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 624c840c-8a1e-4105-b78e-053479912634 · inbound

An interactive enhanced driving dataset for autonomous driving cites this paper.

An interactive enhanced driving dataset for autonomous driving SURDS: Benchmarking Spatial Understanding and Reasoning in Driving Scenarios with Vision Language Models

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-02T21:19:52.060215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2dc931a-51bd-4fee-a5ca-062f53ae03e1 · inbound

ReMemNav: A Rethinking and Memory-Augmented Framework for Zero-Shot Object Navigation cites this paper.

ReMemNav: A Rethinking and Memory-Augmented Framework for Zero-Shot Object Navigation SURDS: Benchmarking Spatial Understanding and Reasoning in Driving Scenarios with Vision Language Models

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-15T01:13:26.291769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 918ab193-8b0f-4eb9-905a-3b306e50bcc2 · inbound

Steadily moving semi-infinite fracture in plane poroelasticity cites this paper.

Steadily moving semi-infinite fracture in plane poroelasticity SURDS: Benchmarking Spatial Understanding and Reasoning in Driving Scenarios with Vision Language Models

Reference 26

Resolution: metadata mismatch; local_arxiv, observed 2026-07-05T11:41:02.533066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3df79033-181c-4197-b12f-4cc3916e3d33 · inbound

XEmbodied: A Foundation Model with Enhanced Geometric and Physical Cues for Large-Scale Embodied Environments cites this paper.

XEmbodied: A Foundation Model with Enhanced Geometric and Physical Cues for Large-Scale Embodied Environments SURDS: Benchmarking Spatial Understanding and Reasoning in Driving Scenarios with Vision Language Models

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T05:51:10.345677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1a4c4179-c0d0-4476-b469-3c0481d825ea · inbound

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving cites this paper.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving SURDS: Benchmarking Spatial Understanding and Reasoning in Driving Scenarios with Vision Language Models

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-06-29T17:43:45.768968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 4ced8d38-0d57-4da6-b6bc-480907a4a2c7 · inbound

GeoDrive-Bench: Benchmarking Region-Specific Multimodal Reasoning in Autonomous Driving cites this paper.

GeoDrive-Bench: Benchmarking Region-Specific Multimodal Reasoning in Autonomous Driving SURDS: Benchmarking Spatial Understanding and Reasoning in Driving Scenarios with Vision Language Models

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-01T23:06:19.751088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8ac895a7-775b-4f57-9b14-430feb713e20 · inbound

OmniCoT: A Benchmark for Global and Multi-Step Panoramic Reasoning cites this paper.

OmniCoT: A Benchmark for Global and Multi-Step Panoramic Reasoning SURDS: Benchmarking Spatial Understanding and Reasoning in Driving Scenarios with Vision Language Models

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T06:14:19.093831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a667e433-03bf-4d1e-b049-b539811a5124 · inbound

STAR-VLM: Spatiotemporal Grounding Vision-Language Models for Motion and Velocity Estimation via Automotive Radar Supervision cites this paper.

STAR-VLM: Spatiotemporal Grounding Vision-Language Models for Motion and Velocity Estimation via Automotive Radar Supervision SURDS: Benchmarking Spatial Understanding and Reasoning in Driving Scenarios with Vision Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T00:08:21.164171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.