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Paper Citation Record · LEDGER

Auto Cherry-Picker: Learning from High-quality Generative Data Driven by Language

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.20085.

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

pith.paper-citation-record.v1
2406.20085 v3

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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:17:39.867945Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T05:12:20.763053Z

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 d9b95d20-ecd7-41d2-b5ac-eebb313e5822 · inbound

AeroGen: Enhancing Remote Sensing Object Detection with Diffusion-Driven Data Generation cites this paper.

AeroGen: Enhancing Remote Sensing Object Detection with Diffusion-Driven Data Generation Auto Cherry-Picker: Learning from High-quality Generative Data Driven by Language

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-12T14:17:39.867945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:17:39.867945Z digest=sha256:a3191fb8c4d8e17feb0e4f0290c8fd0ba1fa5c4de92a06a519d9ffc598013f3f

Observation f31a606d-7c40-4ae7-a16f-e03da5da59ea · 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 Auto Cherry-Picker: Learning from High-quality Generative Data Driven by Language

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-12T05:12:20.767536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T05:12:20.050215Z digest=sha256:3161784ed56cd0b6d82911f5dfb592f55dd44f56e4c8990872360614c126392d