Paper Citation Record · LEDGER

Democratizing Fine-grained Visual Recognition with Large Language Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2401.13837.

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

pith.paper-citation-record.v1
2401.13837 v2

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 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:44:49.371699Z

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

1
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 e1277d57-26d0-4621-9aa4-97a9d555b53f · inbound

An analysis of vision-language models for fabric retrieval cites this paper.

An analysis of vision-language models for fabric retrieval Democratizing Fine-grained Visual Recognition with Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T19:44:49.371699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec1c2b0c-570f-417f-8122-21e4f8930b80 · inbound

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models cites this paper.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Democratizing Fine-grained Visual Recognition with Large Language Models

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-06T18:27:47.128776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f1f2f89-d788-450f-b4fd-c6de4e25556b · inbound

Can Textual Reasoning Improve the Performance of MLLMs on Fine-grained Visual Classification? cites this paper.

Can Textual Reasoning Improve the Performance of MLLMs on Fine-grained Visual Classification? Democratizing Fine-grained Visual Recognition with Large Language Models

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-16T14:53:00.573567Z

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 c7079e7d-61a9-424b-b963-426d05bd6b97 · inbound

TCD-Arena: Assessing Robustness of Time Series Causal Discovery Methods Against Assumption Violations cites this paper.

TCD-Arena: Assessing Robustness of Time Series Causal Discovery Methods Against Assumption Violations Democratizing Fine-grained Visual Recognition with Large Language Models

Reference 120

Resolution: verified exact; arxiv_id, observed 2026-05-08T19:09:02.694967Z

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.