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Paper Citation Record · LEDGER

FocusLLaVA: A Coarse-to-Fine Approach for Efficient and Effective Visual Token Compression

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2411.14228.

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

pith.paper-citation-record.v1
2411.14228 v1

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 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:18:06.528428Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T07:56:35.564771Z

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 01988274-4b3b-42ef-bd1b-1caf36fbd444 · inbound

METEOR: Multi-Encoder Collaborative Token Pruning for Efficient Vision Language Models cites this paper.

METEOR: Multi-Encoder Collaborative Token Pruning for Efficient Vision Language Models FocusLLaVA: A Coarse-to-Fine Approach for Efficient and Effective Visual Token Compression

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-06T13:18:06.528428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:18:06.528428Z digest=sha256:d9f898c5fd855451100bc4ec94c766d5e9656fbad09606bb09f7e5c829cd9fdf

Observation dfa3f6f5-d21d-4709-aecc-aeed2acded77 · inbound

An Efficient Token Compression Framework for Visual Object Tracking cites this paper.

An Efficient Token Compression Framework for Visual Object Tracking FocusLLaVA: A Coarse-to-Fine Approach for Efficient and Effective Visual Token Compression

Reference 73

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:56:35.600359Z

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.

source=pdf_text observed=2026-05-12T01:27:18.535624Z digest=sha256:f219e013b0fd3605f0b3de0aeb200b47848ed469c4020d6bf4165e475bc549e2

Observation 924ecc97-c796-401d-83cf-d8baec19dfba · inbound

ET-Prune: Evidence-Aware Dynamic Budgeting for Visual Token Pruning in Text-Rich MLLMs cites this paper.

ET-Prune: Evidence-Aware Dynamic Budgeting for Visual Token Pruning in Text-Rich MLLMs FocusLLaVA: A Coarse-to-Fine Approach for Efficient and Effective Visual Token Compression

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-04T17:23:16.296228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T17:23:16.296228Z digest=sha256:177818bec75130162f93b71b55c3a1997f865e513f4762d3220e133d6054b008