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Paper Citation Record · LEDGER

Image-Based Geolocation Using Large Vision-Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2408.09474.

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

pith.paper-citation-record.v1
2408.09474 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 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:52:08.551981Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T22:03:02.435412Z

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 fee7286f-50b1-4b48-a43b-13fa9eb5c07f · inbound

GeoLocSFT: Efficient Visual Geolocation via Supervised Fine-Tuning of Multimodal Foundation Models cites this paper.

GeoLocSFT: Efficient Visual Geolocation via Supervised Fine-Tuning of Multimodal Foundation Models Image-Based Geolocation Using Large Vision-Language Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T11:52:08.551981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:52:08.551981Z digest=sha256:3f8816d71fcf7fb28b5932503bfd8f3a98b38b2ad5b24a8271905ac98cbf0cdf

Observation 1aac1ce0-fc83-4987-9282-4520d08d9422 · inbound

Skill-Conditioned Visual Geolocation for Vision-Language Models cites this paper.

Skill-Conditioned Visual Geolocation for Vision-Language Models Image-Based Geolocation Using Large Vision-Language Models

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:01:02.327836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T17:49:50.853502Z digest=sha256:ae490ebf1830f080cc45a275d1e29e413ef5163f83ead555a060032bad365832

Observation 93730a1d-8dec-4599-9168-76cc5df42f61 · inbound

Skill-Conditioned Visual Geolocation for Vision-Language Models cites this paper.

Skill-Conditioned Visual Geolocation for Vision-Language Models Image-Based Geolocation Using Large Vision-Language Models

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-14T22:03:02.439499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-14T22:02:21.638064Z digest=sha256:dd8a54edf7498e1bcca6771aeddad935ebabc36e1eb1a4585e7ecb14eb9ef633

Observation e16459e5-7b4b-40ed-805a-2fb3cd4b4a6b · inbound

HoloGeo: Mitigating Landmark Bias in Geo-localization via Evidence-Driven Reasoning cites this paper.

HoloGeo: Mitigating Landmark Bias in Geo-localization via Evidence-Driven Reasoning Image-Based Geolocation Using Large Vision-Language Models

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-01T23:46:31.420173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:46:31.420173Z digest=sha256:7995ade218ef161264bb5db67df0b23856f1441920ffe7d60af6ef9097ce98ee