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Paper Citation Record · LEDGER

Mipha: A Comprehensive Overhaul of Multimodal Assistant with Small Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2403.06199.

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

pith.paper-citation-record.v1
2403.06199 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:22:48.525847Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T17:56:25.072862Z

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 80e71a35-495e-4fb4-979e-48df0d34a593 · inbound

Investigating Structural Pruning and Recovery Techniques for Compressing Multimodal Large Language Models: An Empirical Study cites this paper.

Investigating Structural Pruning and Recovery Techniques for Compressing Multimodal Large Language Models: An Empirical Study Mipha: A Comprehensive Overhaul of Multimodal Assistant with Small Language Models

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-06T13:22:48.525847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:22:48.525847Z digest=sha256:12a18d83457d5bbc3c5992ce981af623c59d6889a71326dbeae27868c63b0fc2

Observation 945a6bac-08f4-462f-a088-0a581fb5ec00 · inbound

Mema: Memory-Augmented Adapter for Enhanced Vision-Language Understanding cites this paper.

Mema: Memory-Augmented Adapter for Enhanced Vision-Language Understanding Mipha: A Comprehensive Overhaul of Multimodal Assistant with Small Language Models

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-15T17:56:25.076636Z

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.

source=pdf_text observed=2026-05-15T17:53:29.860496Z digest=sha256:f9a79aad28ea26ca701d6df8aa22cd8c0f28a86046f761051359bdf7f33475bc

Observation a9ffd270-bbf9-4bb7-a8ec-bf4040c1881b · inbound

Structural Pruning of Large Vision Language Models: A Comprehensive Study on Pruning Dynamics, Recovery, and Data Efficiency cites this paper.

Structural Pruning of Large Vision Language Models: A Comprehensive Study on Pruning Dynamics, Recovery, and Data Efficiency Mipha: A Comprehensive Overhaul of Multimodal Assistant with Small Language Models

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T21:56:14.035868Z

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.

source=pdf_text observed=2026-05-08T03:47:38.100037Z digest=sha256:74349a3f5b1681b49437bbebdd072eb50b1d314c00d287aab5b27def2cd4c3a5