Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Your Vision-Language Model Itself Is a Strong Filter: Towards High-Quality Instruction Tuning with Data Selection
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2402.12501.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T17:51:42.884682Z
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 0c62c1f4-78b7-4690-b8cd-fab8addf4b22 · inbound
MLAN: Language-Based Instruction Tuning Preserves and Transfers Knowledge in Multimodal Language Models cites this paper.
MLAN: Language-Based Instruction Tuning Preserves and Transfers Knowledge in Multimodal Language Models Your Vision-Language Model Itself Is a Strong Filter: Towards High-Quality Instruction Tuning with Data Selection
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T19:40:42.502268Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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 2026-08-17T06:30:58.91139+00:00.
Observation a5b05a76-f4e4-4ee9-8d8f-eba98670ca9a · inbound
Trust the Model: Compact VLMs as In-Context Judges for Image-Text Data Quality cites this paper.
Trust the Model: Compact VLMs as In-Context Judges for Image-Text Data Quality Your Vision-Language Model Itself Is a Strong Filter: Towards High-Quality Instruction Tuning with Data Selection
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T17:51:42.884682Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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.