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Paper Citation Record · LEDGER

Benchmarking In-the-wild Multimodal Disease Recognition and A Versatile Baseline

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.03120.

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

pith.paper-citation-record.v1
2408.03120 v1

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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T20:33:35.819550Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T10:46:31.150685Z

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 314609b6-e807-4a19-9884-a30c743c01b9 · inbound

MITS: A Large-Scale Multimodal Benchmark Dataset for Intelligent Traffic Surveillance cites this paper.

MITS: A Large-Scale Multimodal Benchmark Dataset for Intelligent Traffic Surveillance Benchmarking In-the-wild Multimodal Disease Recognition and A Versatile Baseline

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-04T20:33:35.819550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:33:35.819550Z digest=sha256:7b2501c800f4be591bb1a58f857f5a88701ef06b771d56a1c324a5e44409e33c

Observation e284b8bd-3a2f-424b-93cc-d0b9547885d3 · inbound

CropVLM: A Domain-Adapted Vision-Language Model for Open-Set Crop Analysis cites this paper.

CropVLM: A Domain-Adapted Vision-Language Model for Open-Set Crop Analysis Benchmarking In-the-wild Multimodal Disease Recognition and A Versatile Baseline

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:46:31.154220Z

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=2026-05-08T01:36:02.920908Z digest=sha256:3a7b9c7b6ce2dda553b393f9084ff0431a2de3f210a00e038f44d32122bb4acd