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Paper Citation Record · LEDGER

DyMU: Dynamic Merging and Virtual Unmerging for Efficient VLMs

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2504.17040.

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

pith.paper-citation-record.v1
2504.17040 v2

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 2026-08-02T05:03:27.729468Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:48:56.484624Z

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 e01b91bf-40c6-447d-b232-10bc0d6734ef · inbound

CIVIC: End-to-End Sequence Compactness for Efficient Vision-Language Models cites this paper.

CIVIC: End-to-End Sequence Compactness for Efficient Vision-Language Models DyMU: Dynamic Merging and Virtual Unmerging for Efficient VLMs

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-06-29T12:13:26.448577Z

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=2026-06-29T12:12:51.867760Z digest=sha256:494c094c6070c4eeaf5198b6333843f24a679714b15eef92c0e73bcde511afd1

Observation 734c485a-6a92-4c5d-adf6-765f574d6b57 · inbound

RegimeVGGT: Layer-Wise Spatially Preserving Redundancy Removal for Visual Geometry Grounded Transformer cites this paper.

RegimeVGGT: Layer-Wise Spatially Preserving Redundancy Removal for Visual Geometry Grounded Transformer DyMU: Dynamic Merging and Virtual Unmerging for Efficient VLMs

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-07-03T20:48:56.486274Z

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=2026-06-27T01:07:08.415112Z digest=sha256:8dd47a1fedd7f2a32d3d8ea9d742b490c0f5cc8084c2a29d962a774635014689

Observation 22517f44-5ec4-418c-aa52-cf96dcdb49a2 · inbound

Attention-Free and Lightweight Token Reduction for Efficient Vision-Language Models cites this paper.

Attention-Free and Lightweight Token Reduction for Efficient Vision-Language Models DyMU: Dynamic Merging and Virtual Unmerging for Efficient VLMs

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-02T05:03:27.729468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T05:03:27.729468Z digest=sha256:28db199382f6028a96a6d2a9d806d70f8f1d9f5b3cd3e7f7041fb0dc10fcda4b