Paper Citation Record · LEDGER

Can Large Vision Language Models Read Maps Like a Human?

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2503.14607.

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

pith.paper-citation-record.v1
2503.14607 v1

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 2026-08-05T06:32:48.257954+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T22:00:11.432989Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:59:43.331948Z

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 cbb96761-7b81-4963-9011-572b7237cfd7 · inbound

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models cites this paper.

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models Can Large Vision Language Models Read Maps Like a Human?

Reference 201

Resolution: verified exact; arxiv_id, observed 2026-05-14T01:29:57.136887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 07ee29a3-e891-4c5d-8ed0-10e437e5c914 · inbound

Does RLVR Extend Reasoning Boundaries? Investigating Capability Expansion in Vision-Language Models cites this paper.

Does RLVR Extend Reasoning Boundaries? Investigating Capability Expansion in Vision-Language Models Can Large Vision Language Models Read Maps Like a Human?

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:00:34.282715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2a87461d-01cc-41c9-90c1-674351f247a6 · inbound

MapTab: A Diagnostic Benchmark for Long-Horizon Multi-Criteria Multimodal Reasoning on Heterogeneous Topological Graphs cites this paper.

MapTab: A Diagnostic Benchmark for Long-Horizon Multi-Criteria Multimodal Reasoning on Heterogeneous Topological Graphs Can Large Vision Language Models Read Maps Like a Human?

Reference 85

Resolution: verified exact; arxiv_id, observed 2026-05-15T20:16:34.452051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 209ccf98-47b0-4b88-b1f0-3d40ef40f072 · inbound

MapTab: A Diagnostic Benchmark for Long-Horizon Multi-Criteria Multimodal Reasoning on Heterogeneous Topological Graphs cites this paper.

MapTab: A Diagnostic Benchmark for Long-Horizon Multi-Criteria Multimodal Reasoning on Heterogeneous Topological Graphs Can Large Vision Language Models Read Maps Like a Human?

Reference 85

Resolution: verified exact; arxiv_id, observed 2026-05-22T10:31:25.327010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c2d14b2a-e6c5-4596-9bcd-7dfccb1eff87 · inbound

MapTab: A Diagnostic Benchmark for Long-Horizon Multi-Criteria Multimodal Reasoning on Heterogeneous Topological Graphs cites this paper.

MapTab: A Diagnostic Benchmark for Long-Horizon Multi-Criteria Multimodal Reasoning on Heterogeneous Topological Graphs Can Large Vision Language Models Read Maps Like a Human?

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-02T22:00:11.432989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47d638e2-ac4a-46e8-bf2b-ce741b1bd734 · inbound

TraversalBench: Challenging Paths to Follow for Vision Language Models cites this paper.

TraversalBench: Challenging Paths to Follow for Vision Language Models Can Large Vision Language Models Read Maps Like a Human?

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:36:02.698657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c953f9e0-e0ed-428f-80ea-b347644e42ef · inbound

Post Reasoning: Improving the Performance of Non-Thinking Models at No Cost cites this paper.

Post Reasoning: Improving the Performance of Non-Thinking Models at No Cost Can Large Vision Language Models Read Maps Like a Human?

Reference 164

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T20:06:09.211533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f413a37d-473a-4200-8ba4-a9fea77c8afe · inbound

TransitLM: A Large-Scale Dataset and Benchmark for Map-Free Transit Route Generation cites this paper.

TransitLM: A Large-Scale Dataset and Benchmark for Map-Free Transit Route Generation Can Large Vision Language Models Read Maps Like a Human?

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-22T05:51:08.888932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2e08fccb-d76b-467d-97a5-c9367c6face5 · inbound

Perceive, Interact, Reason: Building Tool-Augmented Visual Agents for Spatial Reasoning cites this paper.

Perceive, Interact, Reason: Building Tool-Augmented Visual Agents for Spatial Reasoning Can Large Vision Language Models Read Maps Like a Human?

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T13:38:18.633557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ea43c6bd-5d92-41e4-ab9c-511482114bf8 · inbound

Lost in Aggregation: A Multi-Scale Diagnostic Benchmark for LLM Spatial Navigation cites this paper.

Lost in Aggregation: A Multi-Scale Diagnostic Benchmark for LLM Spatial Navigation Can Large Vision Language Models Read Maps Like a Human?

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-07-04T08:59:43.333537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a4b3cbc9-8351-45e2-8bfa-2e8e6c87b444 · inbound

MapReason-OSM: Can Vision-Language Models Make Graph-Verifiable Mobility Decisions from Street Maps ? cites this paper.

MapReason-OSM: Can Vision-Language Models Make Graph-Verifiable Mobility Decisions from Street Maps ? Can Large Vision Language Models Read Maps Like a Human?

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-07-04T08:39:42.504484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.