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Paper Citation Record · LEDGER

Learning Visual Grounding from Generative Vision and Language Model

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 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 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:12:20.310701Z

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 851445d6-809a-4ffd-a566-67cba513120a · inbound

Paint Outside the Box: Synthesizing and Selecting Training Data for Visual Grounding cites this paper.

Paint Outside the Box: Synthesizing and Selecting Training Data for Visual Grounding Learning Visual Grounding from Generative Vision and Language Model

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-12T05:12:20.310701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:12:20.310701Z digest=sha256:9f698e3432342d02f65ed5c04f4f71c2111398b9ee90b8d1732375eb53d6b528

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=sha256:41b768475243d3c7febd425b28f1e018d70ad8b90ccaf3357bc049c771ec1a2c

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-05T21:08:17.950729Z digest=sha256:f62cff2c796eb7fb2b7fa5a39e7e06cbc0273e494f058697670b76f2e21c4dc9