Paper Citation Record · LEDGER

LLaVA-MoD: Making LLaVA Tiny via MoE Knowledge Distillation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2408.15881.

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

pith.paper-citation-record.v1
2408.15881 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T00:55:50.120232Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 02e740a3-e6a5-40af-9e5b-e2df760632d3 · 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-MoD: Making LLaVA Tiny via MoE Knowledge Distillation

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:07.514859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5acd949-8072-4ba1-91a2-67b0f7a43217 · inbound

Taming LLMs by Scaling Learning Rates with Gradient Grouping cites this paper.

Taming LLMs by Scaling Learning Rates with Gradient Grouping LLaVA-MoD: Making LLaVA Tiny via MoE Knowledge Distillation

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-07T11:57:29.197574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d467dccd-ba5d-42c6-be9e-3dd45878b382 · 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-MoD: Making LLaVA Tiny via MoE Knowledge Distillation

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-06T23:57:25.601970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99b1b392-0dc2-4e2c-9b1c-36795ad393c0 · inbound

EvoLMM: Self-Evolving Large Multimodal Models with Continuous Rewards cites this paper.

EvoLMM: Self-Evolving Large Multimodal Models with Continuous Rewards LLaVA-MoD: Making LLaVA Tiny via MoE Knowledge Distillation

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-03T21:09:24.726089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c331b021-49dd-449b-9275-653f29f25331 · 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-MoD: Making LLaVA Tiny via MoE Knowledge Distillation

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:25:18.526409Z

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 5b68943e-0271-48d1-8a18-f01ccad88700 · inbound

HypEHR: Hyperbolic Modeling of Electronic Health Records for Efficient Question Answering cites this paper.

HypEHR: Hyperbolic Modeling of Electronic Health Records for Efficient Question Answering LLaVA-MoD: Making LLaVA Tiny via MoE Knowledge Distillation

Reference 214

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T23:54:45.348826Z

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 52144856-6287-4cda-93d6-004ee972db3e · inbound

ViCuR: Visual Cues as Recoverable Privilege for Multimodal On-Policy Distillation cites this paper.

ViCuR: Visual Cues as Recoverable Privilege for Multimodal On-Policy Distillation LLaVA-MoD: Making LLaVA Tiny via MoE Knowledge Distillation

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:36:57.017799Z

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 afb7bdd5-f0d4-4314-9070-1171eb84c3f4 · 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-MoD: Making LLaVA Tiny via MoE Knowledge Distillation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-08T00:55:50.120232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.