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Paper Citation Record · LEDGER

Dynamic Token Reduction during Generation for Vision Language Models

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2501.14204.

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

pith.paper-citation-record.v1
2501.14204 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:55:03.138707Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T15:59:57.454506Z

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 a3fafa79-a736-4180-be21-2d75faebf6c6 · inbound

DyMU: Dynamic Merging and Virtual Unmerging for Efficient VLMs cites this paper.

DyMU: Dynamic Merging and Virtual Unmerging for Efficient VLMs Dynamic Token Reduction during Generation for Vision Language Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-16T10:55:03.138707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:55:03.138707Z digest=sha256:a97e0c56ffbb337448c82ece10b51db25cca9d8da7dbc25b4d4f5b54cb05d77b

Observation d7c2a526-d729-4429-b403-e74d6e6bf84a · inbound

GreedyPrune: Retenting Critical Visual Token Set for Large Vision Language Models cites this paper.

GreedyPrune: Retenting Critical Visual Token Set for Large Vision Language Models Dynamic Token Reduction during Generation for Vision Language Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T00:42:53.653335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:42:53.653335Z digest=sha256:4012da815a2605bfc325a4ad5734185343c5accf6d7e2f8a886d907d4b1773e7

Observation 9f3a99d5-35ea-412c-bcd6-88b04ee4bffb · inbound

A Glimpse to Compress: Dynamic Visual Token Pruning for Large Vision-Language Models cites this paper.

A Glimpse to Compress: Dynamic Visual Token Pruning for Large Vision-Language Models Dynamic Token Reduction during Generation for Vision Language Models

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T05:37:35.505014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:37:35.505014Z digest=sha256:fa2b78f01c26f91852ed19cdd2e6e62adb893f4df37cf506f2c981a6a0a559a1

Observation 1c32186c-658f-4b70-a6dd-c9461099595f · inbound

Toward Native Multimodal Modeling: A Roadmap cites this paper.

Toward Native Multimodal Modeling: A Roadmap Dynamic Token Reduction during Generation for Vision Language Models

Reference 263

Resolution
verified exact
arxiv_id, observed 2026-06-29T23:04:01.843367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-29T22:58:38.610609Z digest=sha256:52cc887fbfc16d271abe760c61163501e2a507b76d8d99a7ef1ab995d8d2d319

Observation 40e4419f-b1f4-4722-b120-0e96e6636904 · inbound

Beyond Surrogate Gradients: Fully Differentiable Token Pruning for Vision-Language Models cites this paper.

Beyond Surrogate Gradients: Fully Differentiable Token Pruning for Vision-Language Models Dynamic Token Reduction during Generation for Vision Language Models

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-06-29T13:13:27.389323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-29T13:07:21.789901Z digest=sha256:720c5a5441babee3a1b4f173cfad777d314645bb062e877882853f66884224f3

Observation d61d493f-74a0-465d-84d3-7c1510aa13fb · inbound

Accelerating Multimodal Large Language Models with Prior-Corrected Token Reduction cites this paper.

Accelerating Multimodal Large Language Models with Prior-Corrected Token Reduction Dynamic Token Reduction during Generation for Vision Language Models

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-07-04T15:59:56.767924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-26T01:10:00.373247Z digest=sha256:a9182913eea663a37cf61fb67f6fc3c8634571a11a8a32a5e3edc024601e3e73

Observation 0b4773b2-05ba-4539-94f3-ee157cf48f79 · inbound

Spectral Evolution-Guided Token Pruning in Multimodal Large Language Models cites this paper.

Spectral Evolution-Guided Token Pruning in Multimodal Large Language Models Dynamic Token Reduction during Generation for Vision Language Models

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-07-04T15:59:57.456505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-26T01:04:20.802531Z digest=sha256:45436b2a380d9b80c3914aa8df0af84164327b5aefb6fdecb3330258657b42e3

Observation 977d2468-8378-4443-8248-fc8081ad1199 · inbound

Attending to Multimodal Generation One Token at a Time cites this paper.

Attending to Multimodal Generation One Token at a Time Dynamic Token Reduction during Generation for Vision Language Models

Reference 20

Resolution
unresolved
no resolver link, observed 2026-07-12T00:17:46.528896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T00:17:46.528896Z digest=sha256:61e6f4b5f39a7007c34ac0447cdbb5293a66d2c4d8cf1714f668c5562b4353b5

Observation 905fd507-6e98-444c-8906-6eb1d3ab4734 · inbound

DiffPrune: differentiable information throttling for token pruning in vision-language models cites this paper.

DiffPrune: differentiable information throttling for token pruning in vision-language models Dynamic Token Reduction during Generation for Vision Language Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-04T17:18:16.105663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:18:16.105663Z digest=sha256:b2e17d80e0ce8a39322970c5aea58096a8ebb2a71407be7ba6c34c3ae6bf7e49