Paper Citation Record · LEDGER

Evaluating Spatial Understanding of Large Language Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2310.14540.

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

pith.paper-citation-record.v1
2310.14540 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:08:16.339875Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

6
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b6b2eb4a-0acd-4d6d-ae6f-eb9ad87d7b5b · inbound

Gemma 3 Technical Report cites this paper.

Gemma 3 Technical Report Evaluating Spatial Understanding of Large Language Models

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-22T22:22:12.103716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1c5c2c49-c045-40ee-bda9-c7aad43ddc88 · inbound

Foundation Models for Geospatial Reasoning: Assessing Capabilities of Large Language Models in Understanding Geometries and Topological Spatial Relations cites this paper.

Foundation Models for Geospatial Reasoning: Assessing Capabilities of Large Language Models in Understanding Geometries and Topological Spatial Relations Evaluating Spatial Understanding of Large Language Models

Reference 110

Resolution: unresolved; no resolver link, observed 2026-08-07T15:08:16.339875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63d0c6b9-0757-42fd-99dc-eea7f6aee440 · inbound

USTBench: Benchmarking and Dissecting Spatiotemporal Reasoning of LLMs as Urban Agents cites this paper.

USTBench: Benchmarking and Dissecting Spatiotemporal Reasoning of LLMs as Urban Agents Evaluating Spatial Understanding of Large Language Models

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T14:47:17.109005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e955196e-5680-47be-965f-6e8651b752d5 · inbound

The World As Large Language Models See It: Exploring the reliability of LLMs in representing geographical features cites this paper.

The World As Large Language Models See It: Exploring the reliability of LLMs in representing geographical features Evaluating Spatial Understanding of Large Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T12:14:03.935340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b4f80f2-3a2f-4e10-b65c-06e434a48e91 · inbound

Reinforcing Spatial Reasoning in Vision-Language Models with Interwoven Thinking and Visual Drawing cites this paper.

Reinforcing Spatial Reasoning in Vision-Language Models with Interwoven Thinking and Visual Drawing Evaluating Spatial Understanding of Large Language Models

Reference 68

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T04:58:10.247590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1c6c0c29-4e11-499e-9ddd-634bde7810e6 · inbound

A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models cites this paper.

A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models Evaluating Spatial Understanding of Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T04:22:31.952262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba5982b8-ba7c-4116-9dd4-638fd6d401fa · inbound

FloorplanQA: A Benchmark for Spatial Reasoning in LLMs using Structured Representations cites this paper.

FloorplanQA: A Benchmark for Spatial Reasoning in LLMs using Structured Representations Evaluating Spatial Understanding of Large Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T18:42:37.107691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf89d0c7-8cf9-413d-868c-0ddfbb68dd94 · inbound

Scene Graph-Guided Proactive Replanning for Failure-Resilient Embodied Agent cites this paper.

Scene Graph-Guided Proactive Replanning for Failure-Resilient Embodied Agent Evaluating Spatial Understanding of Large Language Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-05T20:05:11.770715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8c84c9e-3c54-405b-94a6-d662cd229fb4 · inbound

AeroDuo: Aerial Duo for UAV-based Vision and Language Navigation cites this paper.

AeroDuo: Aerial Duo for UAV-based Vision and Language Navigation Evaluating Spatial Understanding of Large Language Models

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-05T18:06:03.140867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2da96a50-0811-4637-a97e-afca4a1a2534 · inbound

SpatialThinker: Reinforcing Scene Graph-Grounded Spatial Reasoning via Dense Rewards cites this paper.

SpatialThinker: Reinforcing Scene Graph-Grounded Spatial Reasoning via Dense Rewards Evaluating Spatial Understanding of Large Language Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:54.820458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3121184-1b27-491b-ba86-dc75731e165e · inbound

El Agente Quntur: A research collaborator agent for quantum chemistry cites this paper.

El Agente Quntur: A research collaborator agent for quantum chemistry Evaluating Spatial Understanding of Large Language Models

Reference 105

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:50:42.372864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 69b895ad-9854-43dd-9944-ad62eb11ec71 · inbound

QSTRBench: a New Benchmark to Evaluate the Ability of Language Models to Reason with Qualitative Spatial and Temporal Calculi cites this paper.

QSTRBench: a New Benchmark to Evaluate the Ability of Language Models to Reason with Qualitative Spatial and Temporal Calculi Evaluating Spatial Understanding of Large Language Models

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-20T11:18:13.566635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0678bb0e-5764-4824-b321-7898a1232dfc · inbound

Consistency Training while Mitigating Obfuscation via Rate Matching cites this paper.

Consistency Training while Mitigating Obfuscation via Rate Matching Evaluating Spatial Understanding of Large Language Models

Reference 127

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T14:32:18.083542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 49933303-3705-4317-a074-8367b0b862b2 · inbound

Formalizing Latent Thoughts: Four Axioms of Thought Representation in LLMs cites this paper.

Formalizing Latent Thoughts: Four Axioms of Thought Representation in LLMs Evaluating Spatial Understanding of Large Language Models

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-07-01T13:15:45.675528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.