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Paper Citation Record · LEDGER

VisLingInstruct: Elevating Zero-Shot Learning in Multi-Modal Language Models with Autonomous Instruction Optimization

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2402.07398.

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

pith.paper-citation-record.v1
2402.07398 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:58:05.562611Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T01:06:19.742988Z

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 03a2ad56-db11-4eaa-8e58-71057333c5f7 · inbound

Large Language Models for Zero-Shot Multicultural Name Recognition cites this paper.

Large Language Models for Zero-Shot Multicultural Name Recognition VisLingInstruct: Elevating Zero-Shot Learning in Multi-Modal Language Models with Autonomous Instruction Optimization

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T19:57:05.960955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:57:05.960955Z digest=sha256:909e56c9c3b214b9f46c697cca260ff840bb0a6fd9cc6d32ddcf9896f93c3ca8

Observation db4e1c6d-90c6-4b13-a17c-7e5d6f8bdaad · inbound

LVLM-Composer's Explicit Planning for Image Generation cites this paper.

LVLM-Composer's Explicit Planning for Image Generation VisLingInstruct: Elevating Zero-Shot Learning in Multi-Modal Language Models with Autonomous Instruction Optimization

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T19:58:05.562611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:58:05.562611Z digest=sha256:4de205a1ede76da94113182204ed81ca39e44bdbe16b672c9f7b24a9e03d002f

Observation 7b4fd9af-f854-4bd5-94be-b70a285af3c1 · inbound

VisuCraft: Enhancing Large Vision-Language Models for Complex Visual-Guided Creative Content Generation via Structured Information Extraction cites this paper.

VisuCraft: Enhancing Large Vision-Language Models for Complex Visual-Guided Creative Content Generation via Structured Information Extraction VisLingInstruct: Elevating Zero-Shot Learning in Multi-Modal Language Models with Autonomous Instruction Optimization

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T04:53:35.394791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:53:35.394791Z digest=sha256:ca42bfbebd1866a5eb6d1a5ffa343ad3a4190cd1e08277f41b2b9738e19aedf8

Observation 429721f1-8f02-4a7f-bad0-4ec24c2a9061 · inbound

LumiGen: An LVLM-Enhanced Iterative Framework for Fine-Grained Text-to-Image Generation cites this paper.

LumiGen: An LVLM-Enhanced Iterative Framework for Fine-Grained Text-to-Image Generation VisLingInstruct: Elevating Zero-Shot Learning in Multi-Modal Language Models with Autonomous Instruction Optimization

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T01:06:37.566702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T01:06:37.566702Z digest=sha256:350d34f5af82e4701bb5fbc931b7b704c41265f1dc69b5361ffc8825f24a312f

Observation 1d482310-5f31-48af-9c41-27e23bff4453 · inbound

MM-FusionNet: Context-Aware Dynamic Fusion for Multi-modal Fake News Detection with Large Vision-Language Models cites this paper.

MM-FusionNet: Context-Aware Dynamic Fusion for Multi-modal Fake News Detection with Large Vision-Language Models VisLingInstruct: Elevating Zero-Shot Learning in Multi-Modal Language Models with Autonomous Instruction Optimization

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-06T01:06:19.746738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T01:06:19.647523Z digest=sha256:849f3f4f567607d5dfd494e23de838356d62b53d96f3efe1bdf29af46fa664b4