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Paper Citation Record · LEDGER

LVPruning: An Effective yet Simple Language-Guided Vision Token Pruning Approach for Multi-modal Large Language Models

As of 18 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2501.13652.

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

pith.paper-citation-record.v1
2501.13652 v2

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:50:03.999438Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

31 of 31 outbound references displayed

  • verified exact1
  • verified fuzzy3
  • unresolved27
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 588a8a94-21dc-4cf9-bf45-62a9947d0048 · outbound

This paper cites an unresolved cited work.

LVPruning: An Effective yet Simple Language-Guided Vision Token Pruning Approach for Multi-modal Large Language Models Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:50:04.506039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T15:50:03.870826Z digest=sha256:62eacba831c12a19ff283fdc1c91441a878971d95fcd19560dbea41599fcec6b

Observation 64ba3e19-cdb8-4040-81a3-3a2e0cff1338 · outbound

This paper cites an unresolved cited work.

LVPruning: An Effective yet Simple Language-Guided Vision Token Pruning Approach for Multi-modal Large Language Models Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:50:04.492516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T15:50:03.875604Z digest=sha256:33958b174b1896a10ae567b2501917d00da5fb98d270d6e122f5efe425969b21

Observation 90aaecd3-a1f7-4e12-b11a-99cdf099d238 · outbound

This paper cites an unresolved cited work.

LVPruning: An Effective yet Simple Language-Guided Vision Token Pruning Approach for Multi-modal Large Language Models Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:50:04.478573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T15:50:03.879729Z digest=sha256:69fb13d49e7cb272fc0e7b2e17e3ef3dc8bbf6fb72479786249fbd32308b5692

Observation 9e6164f0-7877-4190-a19a-3907cd9559ed · outbound

This paper cites an unresolved cited work.

LVPruning: An Effective yet Simple Language-Guided Vision Token Pruning Approach for Multi-modal Large Language Models Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:50:04.464830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T15:50:03.884281Z digest=sha256:1cb868073e1b5ab89173b45cb510e62099c684da52df7c4d286bcf5d2bbd29eb

Observation 0e15311b-8035-413f-b06a-58c9a85cc5c8 · outbound

This paper cites Compressing Deep Convolutional Networks using Vector Quantization.

LVPruning: An Effective yet Simple Language-Guided Vision Token Pruning Approach for Multi-modal Large Language Models Compressing Deep Convolutional Networks using Vector Quantization

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T15:50:03.888346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:50:03.888346Z digest=sha256:c893d30bc5822f6afdae12d399fe1e94c40cb5af233cc6614a49b1ecdc138890

Observation a3c34808-baf5-43b2-a900-a2aef7af9ce5 · outbound

This paper cites an unresolved cited work.

LVPruning: An Effective yet Simple Language-Guided Vision Token Pruning Approach for Multi-modal Large Language Models Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:50:04.451586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T15:50:03.893059Z digest=sha256:c465d1310cd7cb5c9d759ab9ba36cd2098ee2163d40e63e9c54e86e0cb31075b

Observation 15b1ca76-9ab9-41a0-ae3f-4802798b9f45 · outbound

This paper cites Stangl, Anhong Guo, Chi Lin, Kristen Grauman, Jiebo Luo, and Jeffrey P.

LVPruning: An Effective yet Simple Language-Guided Vision Token Pruning Approach for Multi-modal Large Language Models Stangl, Anhong Guo, Chi Lin, Kristen Grauman, Jiebo Luo, and Jeffrey P

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:50:04.437801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T15:50:03.897667Z digest=sha256:acdd67d388d91759b13d09d59bb719eeeff64673f252e314778d4e74d3590f6c

Observation 0e53a53d-3c14-4c82-a62a-263e97f8c982 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

LVPruning: An Effective yet Simple Language-Guided Vision Token Pruning Approach for Multi-modal Large Language Models Distilling the Knowledge in a Neural Network

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-10T15:50:03.901925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:50:03.901925Z digest=sha256:549788ff50318bd78ef1f12f4c641c34e16af84154409691716281470543876c

Observation 4d32fa5f-21b3-4009-90d8-d6f276e0c042 · outbound

This paper cites Hudson and Christopher D.

LVPruning: An Effective yet Simple Language-Guided Vision Token Pruning Approach for Multi-modal Large Language Models Hudson and Christopher D

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:50:04.423143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T15:50:03.906474Z digest=sha256:3979c0d0e8ef821a20338dd601d7347cbec1eb061411cec01c062e229f07f1da

Observation d38ae7ca-2be6-498d-b147-825b689d05ff · outbound

This paper cites Rush, Douwe Kiela, Matthieu Cord, and Victor Sanh.

LVPruning: An Effective yet Simple Language-Guided Vision Token Pruning Approach for Multi-modal Large Language Models Rush, Douwe Kiela, Matthieu Cord, and Victor Sanh

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:50:04.407956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T15:50:03.910393Z digest=sha256:fb975e94cbff281e104572f996532ee33c1eb7f2a7223555827e056dcb686c80

Observation 632ec934-6fb9-4d80-b89e-39b862e20120 · outbound

This paper cites an unresolved cited work.

LVPruning: An Effective yet Simple Language-Guided Vision Token Pruning Approach for Multi-modal Large Language Models Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:50:04.393697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T15:50:03.914458Z digest=sha256:00b2ed0cfa27c6dbf3252f7b51171b5e1d3ab49a0dbd2022c786d2c5309f5f7a

Observation dcb8c63f-f36c-4438-8bae-3b59c650f8d6 · outbound

This paper cites an unresolved cited work.

LVPruning: An Effective yet Simple Language-Guided Vision Token Pruning Approach for Multi-modal Large Language Models Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:50:04.380332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T15:50:03.918705Z digest=sha256:2fc85d31e5b48ed2dcfd551769dd309780b6825615c86b5cf130b82fe9e5ce0d

Observation 570304b3-610d-413f-90f6-ae1b3a19bfff · outbound

This paper cites Not All Patches are What You Need: Expediting Vision Transformers via Token Reorganizations.

LVPruning: An Effective yet Simple Language-Guided Vision Token Pruning Approach for Multi-modal Large Language Models Not All Patches are What You Need: Expediting Vision Transformers via Token Reorganizations

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-10T15:50:03.922240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:50:03.922240Z digest=sha256:aabd98e1859c4416664bf249d82953947d77b334ca0020556408da4dc377f0ea

Observation 5acec0be-e8db-4bd1-b44a-23226d88c84f · outbound

This paper cites Improved Baselines with Visual Instruction Tuning.

LVPruning: An Effective yet Simple Language-Guided Vision Token Pruning Approach for Multi-modal Large Language Models Improved Baselines with Visual Instruction Tuning

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-10T15:50:03.926421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:50:03.926421Z digest=sha256:bcb9b936a0ea99c6ca209cd15041ad444e89cdb872a5fbb7c7c1670ad0d9c948

Observation e46f6de5-5c8f-4181-999b-9f0ad2fe9458 · outbound

This paper cites an unresolved cited work.

LVPruning: An Effective yet Simple Language-Guided Vision Token Pruning Approach for Multi-modal Large Language Models Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:50:04.365008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T15:50:03.930607Z digest=sha256:6d77c97c91aab5e0b8a4674efab548c3c67d8ccf3a11a52655bad4568df0f38b

Observation b767e67c-cf22-42b1-a7f7-2d1581538872 · outbound

This paper cites MMBench: Is Your Multi-modal Model an All-around Player?.

LVPruning: An Effective yet Simple Language-Guided Vision Token Pruning Approach for Multi-modal Large Language Models MMBench: Is Your Multi-modal Model an All-around Player?

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-10T15:50:03.934581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:50:03.934581Z digest=sha256:896b4d51dc2d019f85604acb4723b48e010bf505c4f3facd58fc1504b62adaec

Observation 4c8539d3-dbbd-4797-97dd-766765c078f1 · outbound

This paper cites an unresolved cited work.

LVPruning: An Effective yet Simple Language-Guided Vision Token Pruning Approach for Multi-modal Large Language Models Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:50:04.350022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T15:50:03.938852Z digest=sha256:3bbd7ed24c89a41404a14f594bbf23b575a99c9d8c2d77f9ea54d5deff7f9a06

Observation 82c87572-c668-4c78-9a0b-51d3c131eed7 · outbound

This paper cites an unresolved cited work.

LVPruning: An Effective yet Simple Language-Guided Vision Token Pruning Approach for Multi-modal Large Language Models Unresolved cited work

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-10T15:50:03.942631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:50:03.942631Z digest=sha256:473c66122eab065c404c4cba2e531e385c678c037e355fe3c62657524c2e6ddb

Observation c06c716e-2fea-4e3e-b630-febad9cead64 · outbound

This paper cites an unresolved cited work.

LVPruning: An Effective yet Simple Language-Guided Vision Token Pruning Approach for Multi-modal Large Language Models Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:50:04.326640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T15:50:03.946458Z digest=sha256:835057138e7f3348fbea8d1f82b1dc384f4d553cd3615cd6c87a719b55846a1c

Observation 6363ac33-b0b9-4beb-a022-e87d0dfa9b00 · outbound

This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.

LVPruning: An Effective yet Simple Language-Guided Vision Token Pruning Approach for Multi-modal Large Language Models DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-10T15:50:03.950569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:50:03.950569Z digest=sha256:fad109a0646e157352f7a6cf4dad6d2ae7bcb0fab732b6906360e6f3b5338b7d

Observation fea0beab-5c2b-48b9-a8d8-a8a3ce3ff645 · outbound

This paper cites an unresolved cited work.

LVPruning: An Effective yet Simple Language-Guided Vision Token Pruning Approach for Multi-modal Large Language Models Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:50:04.313149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T15:50:03.954906Z digest=sha256:473e74c60ecf50051bb7678544b6c044a02cf46fbaab6fc43e556dd4c0668026

Observation 010fa22e-94c5-44e7-a0c7-61728e0aa0bf · outbound

This paper cites an unresolved cited work.

LVPruning: An Effective yet Simple Language-Guided Vision Token Pruning Approach for Multi-modal Large Language Models Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:50:04.299520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T15:50:03.958823Z digest=sha256:6040d43de0cdaf9937b76f380d57ffdd8769ab9e474f503cb378dd4418bea0b7

Observation ff65d75e-a22d-4871-87f2-efd897b9dce4 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

LVPruning: An Effective yet Simple Language-Guided Vision Token Pruning Approach for Multi-modal Large Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-10T15:50:03.963312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:50:03.963312Z digest=sha256:0fbb7a7ca471674bddbed086cb5967eeb751ce60b34cad952597a56d5e58bf8b

Observation 24da3b1e-c6df-4b2d-8ca8-2da51560cfc0 · outbound

This paper cites an unresolved cited work.

LVPruning: An Effective yet Simple Language-Guided Vision Token Pruning Approach for Multi-modal Large Language Models Unresolved cited work

Reference 24

Resolution
verified exact
doi, observed 2026-08-10T15:50:04.035758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T15:50:03.967943Z digest=sha256:5e05b97c685a8e8a2ad51e51c27472ed5cd18db21ac3cb0665f829930d5f5629

Observation cf0e6488-8b5c-4842-a1d1-ae070c822125 · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

LVPruning: An Effective yet Simple Language-Guided Vision Token Pruning Approach for Multi-modal Large Language Models Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-10T15:50:03.972636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:50:03.972636Z digest=sha256:fc129a2863ec7a8dabd2d759f5599a1c3ec247a6146d8e7e979c2d4203152c4a

Observation 2e7b02ec-f415-49de-b79f-1d0cd86be1a2 · outbound

This paper cites an unresolved cited work.

LVPruning: An Effective yet Simple Language-Guided Vision Token Pruning Approach for Multi-modal Large Language Models Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:50:04.270672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T15:50:03.977072Z digest=sha256:8a3a932aeafb6a32a9e4933e9aa414b331dca3d0913fdbfa1f737ae157f5b85c

Observation 61bcc91f-7690-48da-ba4c-6ddf5bf40d68 · outbound

This paper cites an unresolved cited work.

LVPruning: An Effective yet Simple Language-Guided Vision Token Pruning Approach for Multi-modal Large Language Models Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:50:04.251679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T15:50:03.981386Z digest=sha256:ac35023f520a047e3144fe579bca4d36428845550ef28c8b922905644cc687ec

Observation 19272e7a-0606-4423-839b-33477460cc23 · outbound

This paper cites an unresolved cited work.

LVPruning: An Effective yet Simple Language-Guided Vision Token Pruning Approach for Multi-modal Large Language Models Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:50:04.230081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T15:50:03.985916Z digest=sha256:5a7f339c17f48b41e7a12c2eed864ab8e1ae8a2f5fc2d67d496322c29070cdcd

Observation c98164ed-d879-4903-a576-947d2e03944a · outbound

This paper cites an unresolved cited work.

LVPruning: An Effective yet Simple Language-Guided Vision Token Pruning Approach for Multi-modal Large Language Models Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:50:04.209189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T15:50:03.990214Z digest=sha256:78829993154fa74e9f9fbdc90f46dbb0fe8cc97152361218dcb50bf3b3c67fde

Observation 9621eac2-6e94-4d7a-8847-e6b8fd798dd8 · outbound

This paper cites online" 'onlinestring :=.

LVPruning: An Effective yet Simple Language-Guided Vision Token Pruning Approach for Multi-modal Large Language Models online" 'onlinestring :=

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-10T15:50:03.994580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:50:03.994580Z digest=sha256:47d8e9f13bcf599a3a44dfbfc9bc90fd611ed7d2d2213375224fe24dda263242

Observation 977e0b5c-d9c4-4227-86a9-4a8f9daa0f48 · outbound

This paper cites write newline.

LVPruning: An Effective yet Simple Language-Guided Vision Token Pruning Approach for Multi-modal Large Language Models write newline

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-10T15:50:03.999438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:50:03.999438Z digest=sha256:368a0d4bb7a53d0dd95913aa1dbbf7c2307058e2b8dab19c09763dfe50b34403

Pith citing papers

No inbound Pith citation observations are available.