Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
World to Code: Multi-modal Data Generation via Self-Instructed Compositional Captioning and Filtering
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.20424.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T21:27:40.680175Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T10:32:23.899427Z
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 16724b0e-b87a-4a6e-8d44-48b746bfe395 · inbound
DenseWorld-1M: Towards Detailed Dense Grounded Caption in the Real World cites this paper.
DenseWorld-1M: Towards Detailed Dense Grounded Caption in the Real World World to Code: Multi-modal Data Generation via Self-Instructed Compositional Captioning and Filtering
Reference 73
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:27:40.680175Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 68de02d4-03e1-4ab7-b0da-48d7c9ffbfc4 · inbound
SAILViT: Towards Robust and Generalizable Visual Backbones for MLLMs via Gradual Feature Refinement cites this paper.
SAILViT: Towards Robust and Generalizable Visual Backbones for MLLMs via Gradual Feature Refinement World to Code: Multi-modal Data Generation via Self-Instructed Compositional Captioning and Filtering
Reference 86
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:53:09.193598Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c3c0719d-223b-4719-87da-ef7ac10c1df1 · inbound
MuRA: Multi-Rank Adaptation for Efficient and Effective Test-Time Vision-Language Generalization cites this paper.
MuRA: Multi-Rank Adaptation for Efficient and Effective Test-Time Vision-Language Generalization World to Code: Multi-modal Data Generation via Self-Instructed Compositional Captioning and Filtering
Reference 32
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T10:32:23.958610Z
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.