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Paper Citation Record · LEDGER

Exploring Token Pruning in Vision State Space Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.18962.

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

pith.paper-citation-record.v1
2409.18962 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 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T18:28:48.549618Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T16:16:49.629680Z

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 db50be05-09c9-4811-abbe-72743fcfd13d · inbound

Fast Vision Mamba: Pooling Spatial Dimensions for Accelerated Processing cites this paper.

Fast Vision Mamba: Pooling Spatial Dimensions for Accelerated Processing Exploring Token Pruning in Vision State Space Models

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-09T18:28:48.549618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:28:48.549618Z digest=sha256:d8263d1df0094eee0a046de76f7751a3a5c3481ef8b555382dc4197fa7bbc6ce

Observation b5792f12-1ed1-4810-9a0d-fd56e6c81e97 · inbound

QuarterMap: Efficient Post-Training Token Pruning for Visual State Space Models cites this paper.

QuarterMap: Efficient Post-Training Token Pruning for Visual State Space Models Exploring Token Pruning in Vision State Space Models

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-06T17:59:32.755285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:59:32.755285Z digest=sha256:3c08c72757e608cf13750a9785fd1230e4fcdc9df47cb723f246ba8cec408cc6

Observation 3cae8191-e944-4375-b926-35548ec68179 · inbound

Training-free Token Reduction for Vision Mamba cites this paper.

Training-free Token Reduction for Vision Mamba Exploring Token Pruning in Vision State Space Models

Reference 55

Resolution
verified exact
local_arxiv, observed 2026-08-06T16:16:49.636934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T16:16:49.490735Z digest=sha256:da7e1eb5ca2bc9a200384e1d46c1875c8b9e2d93c5c38c7dd19eb808f08cc2f6