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Paper Citation Record · LEDGER

FoPru: Focal Pruning for Efficient Large Vision-Language Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2411.14164.

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

pith.paper-citation-record.v1
2411.14164 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:18:01.973663Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T11:28:04.138065Z

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 41ffb6cd-4e62-4975-bb51-ac4ff2dec3bb · 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 FoPru: Focal Pruning for Efficient Large Vision-Language Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T13:18:01.973663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:18:01.973663Z digest=sha256:38cf57a7d322c3a3b5cfc3c47c86c71b9fcc31d625a8694a273154fc2c4bb995

Observation b28d75ea-ad84-4120-a553-fbcde58dc1c0 · inbound

Reroute, Don't Remove: Recoverable Visual Token Routing for Vision-Language Models cites this paper.

Reroute, Don't Remove: Recoverable Visual Token Routing for Vision-Language Models FoPru: Focal Pruning for Efficient Large Vision-Language Models

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-07-03T11:28:04.139675Z

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=2026-06-27T09:35:24.118536Z digest=sha256:1bcbf8fff13196b561f2038210a309454834874c6eabb0a0cc88a52cbbe4baf7