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 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:56:05.312460Z
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 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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.