Paper Citation Record · LEDGER

LLAVADI: What Matters For Multimodal Large Language Models Distillation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2407.19409.

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

pith.paper-citation-record.v1
2407.19409 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:42:53.723737Z

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

0
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 de262bfa-471e-4cac-a700-7eaeb0dd31f7 · inbound

GreedyPrune: Retenting Critical Visual Token Set for Large Vision Language Models cites this paper.

GreedyPrune: Retenting Critical Visual Token Set for Large Vision Language Models LLAVADI: What Matters For Multimodal Large Language Models Distillation

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T00:42:53.723737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3c732a2-b524-4c21-893e-890bb887c65b · inbound

ReGATE: Learning Faster and Better with Fewer Tokens in MLLMs cites this paper.

ReGATE: Learning Faster and Better with Fewer Tokens in MLLMs LLAVADI: What Matters For Multimodal Large Language Models Distillation

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-19T03:22:01.234907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d8cac4eb-f770-447c-9f2a-1e57bb45762a · inbound

SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment cites this paper.

SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment LLAVADI: What Matters For Multimodal Large Language Models Distillation

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-05T10:34:46.808783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af8cfd59-deca-4dff-a161-7b4a46941ac7 · 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 LLAVADI: What Matters For Multimodal Large Language Models Distillation

Reference 215

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T23:54:45.277202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d427628d-766f-4f19-8929-c2fead44777a · inbound

LLaVA-CKD: Bottom-Up Cascaded Knowledge Distillation for Vision-Language Models cites this paper.

LLaVA-CKD: Bottom-Up Cascaded Knowledge Distillation for Vision-Language Models LLAVADI: What Matters For Multimodal Large Language Models Distillation

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:31:25.666754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1c498e38-1e41-4d7f-b5b7-1153890db0ff · inbound

Token-level Response-visual Attention Guidance for Multimodal LLMs Knowledge Distillation cites this paper.

Token-level Response-visual Attention Guidance for Multimodal LLMs Knowledge Distillation LLAVADI: What Matters For Multimodal Large Language Models Distillation

Reference 38

Resolution: unresolved; no resolver link, observed 2026-07-12T09:26:29.033271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.