Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Matryoshka Query Transformer for Large Vision-Language Models
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2405.19315.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T15:28:37.214098Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T11:46:56.083031Z
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 e8c4dcd8-496a-4d67-bf48-0cea65accaed · inbound
FocusLLaVA: A Coarse-to-Fine Approach for Efficient and Effective Visual Token Compression cites this paper.
FocusLLaVA: A Coarse-to-Fine Approach for Efficient and Effective Visual Token Compression Matryoshka Query Transformer for Large Vision-Language Models
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T15:28:37.214098Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 01a6a45f-85ff-4c90-be31-7d84dc1e1bdb · inbound
Beyond Text-Visual Attention: Exploiting Visual Cues for Effective Token Pruning in VLMs cites this paper.
Beyond Text-Visual Attention: Exploiting Visual Cues for Effective Token Pruning in VLMs Matryoshka Query Transformer for Large Vision-Language Models
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T00:57:32.429234Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ab721087-15d3-425a-a89d-1a02cf732f04 · inbound
p-MoD: Building Mixture-of-Depths MLLMs via Progressive Ratio Decay cites this paper.
p-MoD: Building Mixture-of-Depths MLLMs via Progressive Ratio Decay Matryoshka Query Transformer for Large Vision-Language Models
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T21:31:44.388230Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 00a7912e-ed78-4a99-a60c-0fcc7c2dd508 · inbound
Masked Generative Nested Transformers with Decode Time Scaling cites this paper.
Masked Generative Nested Transformers with Decode Time Scaling Matryoshka Query Transformer for Large Vision-Language Models
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T19:21:56.226965Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d5b5039e-25b6-42c4-90b9-336ed569aca1 · inbound
DynTok: Dynamic Compression of Visual Tokens for Efficient and Effective Video Understanding cites this paper.
DynTok: Dynamic Compression of Visual Tokens for Efficient and Effective Video Understanding Matryoshka Query Transformer for Large Vision-Language Models
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:56:05.312460Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e2b31772-2236-4f85-81e6-f33db26f10f1 · inbound
Fourier Compressor: Frequency-Domain Visual Token Compression for Vision-Language Models cites this paper.
Fourier Compressor: Frequency-Domain Visual Token Compression for Vision-Language Models Matryoshka Query Transformer for Large Vision-Language Models
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T22:40:43.049199Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 6df659c3-93f0-4e94-a40c-e3081d66684e · inbound
MIPIC: Matryoshka Representation Learning via Self-Distilled Intra-Relational and Progressive Information Chaining cites this paper.
MIPIC: Matryoshka Representation Learning via Self-Distilled Intra-Relational and Progressive Information Chaining Matryoshka Query Transformer for Large Vision-Language Models
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T22:01:12.450982Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation eeefe21b-20f1-4c81-8f53-dd5bf9f5f7e2 · inbound
Adaptive Tokenisation Via Temporal Redundancy Masking And Latent Inpainting cites this paper.
Adaptive Tokenisation Via Temporal Redundancy Masking And Latent Inpainting Matryoshka Query Transformer for Large Vision-Language Models
Reference 13
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T11:46:56.084662Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 902cb00f-32af-4c09-9427-9dad7aedafb2 · inbound
UltraViT: Latency-Optimized On-device Vision Encoder for Large Vision-Language Models cites this paper.
UltraViT: Latency-Optimized On-device Vision Encoder for Large Vision-Language Models Matryoshka Query Transformer for Large Vision-Language Models
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T00:01:34.400885Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.