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Paper Citation Record · LEDGER

Learning Visual Grounding from Generative Vision and Language Model

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.14563.

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

pith.paper-citation-record.v1
2407.14563 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:27:24.423982Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T21:08:18.129514Z

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 ca30bc45-839b-443e-be87-f652c7672f5a · inbound

Seeing the Trees for the Forest: Rethinking Weakly-Supervised Medical Visual Grounding cites this paper.

Seeing the Trees for the Forest: Rethinking Weakly-Supervised Medical Visual Grounding Learning Visual Grounding from Generative Vision and Language Model

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-07T15:27:24.423982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:27:24.423982Z digest=sha256:04d5a771f8bbbdc0d670257d01b24c5170525caa32f6ccbe0eab498d317d8f8f

Observation 43f1498c-5e17-4db8-9035-50634406bdb3 · inbound

IAG: Input-aware Backdoor Attack on VLM-based Visual Grounding cites this paper.

IAG: Input-aware Backdoor Attack on VLM-based Visual Grounding Learning Visual Grounding from Generative Vision and Language Model

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-08-05T21:08:18.137210Z

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=arxiv_source observed=2026-08-05T21:08:17.950729Z digest=sha256:c1c3855f52241bbe4479da88e74a79060bdb53346d8ec2bdb015c2b0bb30db83