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Paper Citation Record · LEDGER

Dense Connector for MLLMs

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2405.13800.

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

pith.paper-citation-record.v1
2405.13800 v2

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 2026-08-14T06:32:32.682623+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:31:59.615606Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:19:45.422492Z

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 d43c3b93-998c-4912-a1da-37ab5b1d91dd · inbound

FoPru: Focal Pruning for Efficient Large Vision-Language Models cites this paper.

FoPru: Focal Pruning for Efficient Large Vision-Language Models Dense Connector for MLLMs

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-12T15:31:59.615606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:31:59.615606Z digest=sha256:5b5bd98a63dec4a63fc51a03e2201a8d871dae65984e3ebe2235f93362ec61ad

Observation 2420f65f-0a02-4be7-b9dc-0ea2495fe35a · inbound

Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search cites this paper.

Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search Dense Connector for MLLMs

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-11T04:53:11.864340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:53:11.864340Z digest=sha256:fb7d2b152a2be735c402723a5c6fb2cfcd1025dc524b30b91fa4e94f5470f8e3

Observation 90f23e13-0e69-404d-b768-e6734529e72e · inbound

Instruction-Guided Fusion of Multi-Layer Visual Features in Large Vision-Language Models cites this paper.

Instruction-Guided Fusion of Multi-Layer Visual Features in Large Vision-Language Models Dense Connector for MLLMs

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T01:04:00.610965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T01:04:00.610965Z digest=sha256:ae0b4020099ce0f1e673c51507f4cecb47a02404bf671c633c793d67ddd99380

Observation 9ea500f7-b2be-4f3c-a87b-5624dbf3905b · inbound

Manager: Aggregating Insights from Unimodal Experts in Two-Tower VLMs and MLLMs cites this paper.

Manager: Aggregating Insights from Unimodal Experts in Two-Tower VLMs and MLLMs Dense Connector for MLLMs

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-07T04:08:46.709519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:08:46.709519Z digest=sha256:3ce24a586c32edc81a102d9660a7883830111f4ef31437f267e1938b8ac7b9ae

Observation b53642ed-20c3-4215-833c-5837dc8c421f · inbound

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs cites this paper.

LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs Dense Connector for MLLMs

Reference 58

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:19:45.429257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T21:19:45.127437Z digest=sha256:89ccc1bff5c72ab16ec372c82905fd06d63d7f472d82e3f829daafade83e9cf2

Observation c417a8f9-0141-47b0-8dd7-9ed585864b46 · inbound

HAFI-VLM: A Frequency Perspective for Diagnosing and Enhancing Visual Perception in Vision-Language Models cites this paper.

HAFI-VLM: A Frequency Perspective for Diagnosing and Enhancing Visual Perception in Vision-Language Models Dense Connector for MLLMs

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-04T14:48:45.715995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:48:45.715995Z digest=sha256:1d40486dd2fd74102f28efd5ce59ec31fbd8922fd61a0ec6310b02099506c372