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Paper Citation Record · LEDGER

Your Vision-Language Model Itself Is a Strong Filter: Towards High-Quality Instruction Tuning with Data Selection

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.12501.

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

pith.paper-citation-record.v1
2402.12501 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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:48:26.521483Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T21:48:28.426535Z

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 7df4fa98-be40-457d-ad55-7d4b71e5b948 · inbound

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds cites this paper.

CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds Your Vision-Language Model Itself Is a Strong Filter: Towards High-Quality Instruction Tuning with Data Selection

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-10T21:48:28.523336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-10T21:48:26.521483Z digest=sha256:6cf50dd43e2918005375c65eb847b82cfd6db4d67b6b01984920b37fc8e0da75

Observation d26f3b86-692f-457d-9806-d22ebc67a2b6 · inbound

VisNec: Measuring and Leveraging Visual Necessity for Multimodal Instruction Tuning cites this paper.

VisNec: Measuring and Leveraging Visual Necessity for Multimodal Instruction Tuning Your Vision-Language Model Itself Is a Strong Filter: Towards High-Quality Instruction Tuning with Data Selection

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-02T19:46:19.465243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:46:19.465243Z digest=sha256:8c25fc77b7ae3d3dddcac7ceaedef2b888f3f7e312f447d6ab73b25ba86ac615