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Paper Citation Record · LEDGER

Evaluating Large Language Models on Spatial Tasks: A Multi-Task Benchmarking Study

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.14438.

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

pith.paper-citation-record.v1
2408.14438 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T05:03:11.959631Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:39:42.506378Z

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 00d8a118-c883-4e81-885e-55a29da94047 · 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 ? Evaluating Large Language Models on Spatial Tasks: A Multi-Task Benchmarking Study

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-07-04T08:39:42.507856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-26T11:07:50.534593Z digest=sha256:188bafe6d4690477711f791e1fc3ae130237aa9340a3d515e874b4c2f510a7d3

Observation c9526de0-46b9-4c11-8933-710b74330e2f · inbound

GeoBenchLLM: A Comprehensive Benchmark for Evaluating LLMs on Geo-Related Tasks cites this paper.

GeoBenchLLM: A Comprehensive Benchmark for Evaluating LLMs on Geo-Related Tasks Evaluating Large Language Models on Spatial Tasks: A Multi-Task Benchmarking Study

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-10T05:03:11.959631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T05:03:11.959631Z digest=sha256:e2089ae49b50ebf1c1bdbe0d84707b420def677e6ddfddbee70c488290912ddc