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Paper Citation Record · LEDGER

Evaluating Precise Geolocation Inference Capabilities of Vision Language Models

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2502.14412.

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

pith.paper-citation-record.v1
2502.14412 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:16:46.574203Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T23:06:20.231487Z

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 91a2d877-a0dd-4bc1-87f7-020038537f20 · inbound

GeoRanker: Distance-Aware Ranking for Worldwide Image Geolocalization cites this paper.

GeoRanker: Distance-Aware Ranking for Worldwide Image Geolocalization Evaluating Precise Geolocation Inference Capabilities of Vision Language Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-15T20:16:46.574203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:16:46.574203Z digest=sha256:efeb19fcb6a839eac43d85efd03eeeed7fcdbd582ccd90529052c5d3c386d2b7

Observation 57d3edc8-e093-461d-8ff1-4319eed420ad · inbound

GeoChain: Multimodal Chain-of-Thought for Geographic Reasoning cites this paper.

GeoChain: Multimodal Chain-of-Thought for Geographic Reasoning Evaluating Precise Geolocation Inference Capabilities of Vision Language Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T12:02:16.632210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:02:16.632210Z digest=sha256:2abed40b2e77b96a29e3442f0ca4324594050484d2d1fcdbc40735ed0f01c77e

Observation d3510268-4be6-48b5-9b1a-21fed5a29b2c · inbound

From Pixels to Places: A Systematic Benchmark for Evaluating Image Geolocalization Ability in Large Language Models cites this paper.

From Pixels to Places: A Systematic Benchmark for Evaluating Image Geolocalization Ability in Large Language Models Evaluating Precise Geolocation Inference Capabilities of Vision Language Models

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-21T23:50:47.233040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-21T23:49:59.795575Z digest=sha256:e638b765857359ff28081c4d1f4590701744682af0d8b70bc46edef72fe5a96d

Observation e6af2992-255e-4773-9416-28bce3b20d3b · inbound

Do VLMs See What Sensors Feel? A Scalable Expert-Guided Design for Wheelchair Accessibility Assessment from Street View cites this paper.

Do VLMs See What Sensors Feel? A Scalable Expert-Guided Design for Wheelchair Accessibility Assessment from Street View Evaluating Precise Geolocation Inference Capabilities of Vision Language Models

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-07-01T23:06:20.233872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-06-28T14:42:47.815192Z digest=sha256:e881af43908e86a74961c9cd356b67987e2ab3dcacd3d04717a6f3120c277926