Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Joint Visual and Text Prompting for Improved Object-Centric Perception with Multimodal Large Language Models
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2404.04514.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T21:30:00.336670Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T15:09:55.132003Z
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 ec48b512-cfcb-454e-a299-7818f909cf92 · inbound
EgoPlan-Bench2: A Benchmark for Multimodal Large Language Model Planning in Real-World Scenarios cites this paper.
EgoPlan-Bench2: A Benchmark for Multimodal Large Language Model Planning in Real-World Scenarios Joint Visual and Text Prompting for Improved Object-Centric Perception with Multimodal Large Language Models
Reference 77
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T21:30:00.336670Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d4f1458c-9434-43a7-96cd-a74cffb507a2 · inbound
HSCR: Hierarchical Self-Contrastive Rewarding for Aligning Medical Vision Language Models cites this paper.
HSCR: Hierarchical Self-Contrastive Rewarding for Aligning Medical Vision Language Models Joint Visual and Text Prompting for Improved Object-Centric Perception with Multimodal Large Language Models
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:00:48.850779Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a06393d7-30f2-4f3a-af02-9e35869be43a · inbound
Fast or Slow? Integrating Fast Intuition and Deliberate Thinking for Enhancing Visual Question Answering cites this paper.
Fast or Slow? Integrating Fast Intuition and Deliberate Thinking for Enhancing Visual Question Answering Joint Visual and Text Prompting for Improved Object-Centric Perception with Multimodal Large Language Models
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:02:10.543405Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b698e741-5e69-45fe-b013-9b060e96ccaa · inbound
AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs cites this paper.
AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs Joint Visual and Text Prompting for Improved Object-Centric Perception with Multimodal Large Language Models
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:49:44.479493Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a1ad24e4-5e56-4f70-b626-6dd19f423b2c · inbound
V2T-CoT: From Vision to Text Chain-of-Thought for Medical Reasoning and Diagnosis cites this paper.
V2T-CoT: From Vision to Text Chain-of-Thought for Medical Reasoning and Diagnosis Joint Visual and Text Prompting for Improved Object-Centric Perception with Multimodal Large Language Models
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:11:46.047700Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d373e16c-9b10-4279-bce9-c2ac6828bcd0 · inbound
From Structure to Synergy: A Survey of Vision-Language Perception Paradigm Evolution in Multimodal Large Language Models cites this paper.
From Structure to Synergy: A Survey of Vision-Language Perception Paradigm Evolution in Multimodal Large Language Models Joint Visual and Text Prompting for Improved Object-Centric Perception with Multimodal Large Language Models
Reference 125
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T15:09:55.133807Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.