Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LLaVA-KD: A Framework of Distilling Multimodal Large Language Models
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2410.16236.
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 2026-08-08T00:55:50.045305Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T11:31:01.480119Z
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 f7e81d51-b139-4664-b78c-65b990cad2b3 · inbound
EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models cites this paper.
EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models LLaVA-KD: A Framework of Distilling Multimodal Large Language Models
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:09:02.820442Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation acd9c9c6-d16c-4306-a6d0-9b5881e8ea8c · inbound
Taming LLMs by Scaling Learning Rates with Gradient Grouping cites this paper.
Taming LLMs by Scaling Learning Rates with Gradient Grouping LLaVA-KD: A Framework of Distilling Multimodal Large Language Models
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:57:28.986563Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2cc0e583-91db-4558-8cfe-9c09532d6f8c · inbound
Farm-LightSeek: An Edge-centric Multimodal Agricultural IoT Data Analytics Framework with Lightweight LLMs cites this paper.
Farm-LightSeek: An Edge-centric Multimodal Agricultural IoT Data Analytics Framework with Lightweight LLMs LLaVA-KD: A Framework of Distilling Multimodal Large Language Models
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:10:59.202279Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 65525c23-a704-4da1-8135-788c1092935c · inbound
GenRecal: Generation after Recalibration from Large to Small Vision-Language Models cites this paper.
GenRecal: Generation after Recalibration from Large to Small Vision-Language Models LLaVA-KD: A Framework of Distilling Multimodal Large Language Models
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:57:21.379540Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9bb9638d-a38a-4628-821f-9a22a1bd31d2 · inbound
Why and When Visual Token Pruning Fails? A Study on Relevant Visual Information Shift in MLLMs Decoding cites this paper.
Why and When Visual Token Pruning Fails? A Study on Relevant Visual Information Shift in MLLMs Decoding LLaVA-KD: A Framework of Distilling Multimodal Large Language Models
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T11:31:01.483336Z
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.
Observation 7342b176-aa45-4ee2-a7af-161dd2651287 · inbound
Switch-KD: Visual-Switch Knowledge Distillation for Vision-Language Models cites this paper.
Switch-KD: Visual-Switch Knowledge Distillation for Vision-Language Models LLaVA-KD: A Framework of Distilling Multimodal Large Language Models
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T11:25:18.602479Z
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.
Observation 0ec23800-fd5b-4476-8bc9-bb6b9304a4b7 · inbound
Adaptive Two-Stage Visual Token Pruning for Efficient Inference in Video-Language Models cites this paper.
Adaptive Two-Stage Visual Token Pruning for Efficient Inference in Video-Language Models LLaVA-KD: A Framework of Distilling Multimodal Large Language Models
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T00:55:50.045305Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.