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Paper Citation Record · LEDGER

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2505.18930.

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

pith.paper-citation-record.v1
2505.18930 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T22:55:16.974394Z

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

0
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 1872dc0c-857b-4099-8f61-17f957375852 · inbound

FoMo4Wheat: Toward reliable crop vision foundation models with globally curated data cites this paper.

FoMo4Wheat: Toward reliable crop vision foundation models with globally curated data WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-04T22:55:16.974394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:55:16.974394Z digest=sha256:80cec30d0ebf4fce7426e8e2e6da0d35ff24c8ca773cec1ee3416f3050f312ea

Observation 096ec1f1-9b4c-4211-a47c-89338f9eb598 · inbound

SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision cites this paper.

SPROUT: A Scalable Diffusion Foundation Model for Agricultural Vision WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-02T17:16:49.942524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T17:16:49.942524Z digest=sha256:2adcb036145a0c1ed0597e3b2e26dc14819b8004f2bbe08ad795303ea7ef17ac

Observation 30379945-3d79-4d94-8b9e-77bc294d5ddd · inbound

SAGE: Scalable Agentic Grounded Evaluation for Crop Disease Diagnosis cites this paper.

SAGE: Scalable Agentic Grounded Evaluation for Crop Disease Diagnosis WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-12T03:26:18.529470Z

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.

source=pdf_text observed=2026-05-12T03:22:38.913874Z digest=sha256:47230dc4122b9860620e944b0241fa762d1316feb4e30aaaa0449b0b437257f6