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Paper Citation Record · LEDGER

Grounding-Aware Token Pruning: Recovering from Drastic Performance Drops in Visual Grounding Caused by Pruning

As of 18 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 4 inbound Pith citation observations for arXiv:2506.21873.

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

pith.paper-citation-record.v1
2506.21873 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:22:38.056203Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T04:26:51.521243Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T11:28:04.115693Z

Reference resolution

33 of 33 outbound references displayed

  • verified exact1
  • verified fuzzy14
  • unresolved18
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 87ff0b8a-ca3b-4887-b17f-c9c0cec093d5 · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

Grounding-Aware Token Pruning: Recovering from Drastic Performance Drops in Visual Grounding Caused by Pruning Learning Transferable Visual Models From Natural Language Supervision

Reference 1

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unresolved
no resolver link, observed 2026-08-06T22:22:34.222152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:22:34.222152Z digest=sha256:231e6f9b568230adfe419d404571a55f3301e40e5ff42a86b67e01f4e15cc992

Observation 6a4d00e1-d3d4-4eff-8769-671d4229e0c0 · outbound

This paper cites Lmms-eval: Accelerating the development of large multimoal models, 2024.

Grounding-Aware Token Pruning: Recovering from Drastic Performance Drops in Visual Grounding Caused by Pruning Lmms-eval: Accelerating the development of large multimoal models, 2024

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-06T22:22:40.797436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:22:34.319536Z digest=sha256:6f788a3ac6f78513a27d87cd3f97857552b77909f4b259051d11cd22295c9e2c

Observation 13662c94-8ae8-41ee-ae62-f8865c5086aa · outbound

This paper cites an unresolved cited work.

Grounding-Aware Token Pruning: Recovering from Drastic Performance Drops in Visual Grounding Caused by Pruning Unresolved cited work

Reference 3

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no resolver link, observed 2026-08-06T22:22:34.453915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:22:34.453915Z digest=sha256:241e64040f51d6285f35f31a895bfe62cc6fcdd7442e082f59ca557aa024a1ef

Observation ed13873d-7303-41c2-887f-f70ad36352f5 · outbound

This paper cites PuMer: Pruning and merging tokens for efficient vision language models.

Grounding-Aware Token Pruning: Recovering from Drastic Performance Drops in Visual Grounding Caused by Pruning PuMer: Pruning and merging tokens for efficient vision language models

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-06T22:22:40.638759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:22:34.502806Z digest=sha256:d4c49f77ac2e98e03ff1714cf4bb8a790f33f47d824b5543c98f5c85f534d9b8

Observation 3f9feba8-b212-40bb-b00d-6e25488e19e9 · outbound

This paper cites Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic.

Grounding-Aware Token Pruning: Recovering from Drastic Performance Drops in Visual Grounding Caused by Pruning Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic

Reference 5

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no resolver link, observed 2026-08-06T22:22:34.600551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:22:34.600551Z digest=sha256:260055854a0e4211e3644541b2ef80031fefe553d71e91074c6789d1e1eaf547

Observation 5af470b7-381b-4a2d-9d38-e97d8fc76450 · outbound

This paper cites Chasing sparsity in vision transform- ers: An end-to-end exploration.

Grounding-Aware Token Pruning: Recovering from Drastic Performance Drops in Visual Grounding Caused by Pruning Chasing sparsity in vision transform- ers: An end-to-end exploration

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-06T22:22:40.493296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:22:36.588326Z digest=sha256:9e2932c1ec1d9f78bfa2ce583018028ce5bde3d87de53f1707e38717911c00f5

Observation 7977b23f-3ab8-4e3b-a190-dbfb2a7e998a · outbound

This paper cites Recoverable Compression: A Multimodal Vision Token Recovery Mechanism Guided by Text Information.

Grounding-Aware Token Pruning: Recovering from Drastic Performance Drops in Visual Grounding Caused by Pruning Recoverable Compression: A Multimodal Vision Token Recovery Mechanism Guided by Text Information

Reference 7

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no resolver link, observed 2026-08-06T22:22:36.892337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:22:36.892337Z digest=sha256:ae3cbd70184cdb5a6cbd93f1f7ecf1caf594f47f8cd255f29379dae3e1d470ec

Observation fc0b8107-ea83-4856-9830-afdc21830e16 · outbound

This paper cites Bert: Pre-training of deep bidirectional trans- formers for language understanding, 2019.

Grounding-Aware Token Pruning: Recovering from Drastic Performance Drops in Visual Grounding Caused by Pruning Bert: Pre-training of deep bidirectional trans- formers for language understanding, 2019

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-06T22:22:40.317527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:22:36.947010Z digest=sha256:b7147e88c0d23bb29d190a42e728d45320e6adcb14cb32a5a1c1561a676ea41d

Observation 9d0203be-a9ae-4267-b819-47f2116e220d · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

Grounding-Aware Token Pruning: Recovering from Drastic Performance Drops in Visual Grounding Caused by Pruning MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 9

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no resolver link, observed 2026-08-06T22:22:37.063835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:22:37.063835Z digest=sha256:2aff3021fe230c97fda58250d4ba2547f46b5745381cd7a55dedc87eb3f859a1

Observation 80d3a7ef-ddd5-48d5-8a6d-db11f437122b · outbound

This paper cites Mme: A compre- hensive evaluation benchmark for multimodal large language models, 2024.

Grounding-Aware Token Pruning: Recovering from Drastic Performance Drops in Visual Grounding Caused by Pruning Mme: A compre- hensive evaluation benchmark for multimodal large language models, 2024

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-06T22:22:40.112200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:22:37.158952Z digest=sha256:aaed4fed80c932dd9a1ed2cf770ff2c49450e51ae08aef64170596a4640447de

Observation 6252318a-6096-4ab7-8ba4-8f2660f663eb · outbound

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

Grounding-Aware Token Pruning: Recovering from Drastic Performance Drops in Visual Grounding Caused by Pruning Stangl, Anhong Guo, Chi Lin, Kristen Grauman, Jiebo Luo, and Jeffrey P

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:22:39.929819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:22:37.240849Z digest=sha256:694f82e1bae940ce1d528c7c3f2b445bf2bf286edfeaecfb41f1fce9b52ba4e0

Observation 96308886-7034-4e99-b06c-ec9193ca46fc · outbound

This paper cites Ferret: Refer and Ground Anything Anywhere at Any Granularity.

Grounding-Aware Token Pruning: Recovering from Drastic Performance Drops in Visual Grounding Caused by Pruning Ferret: Refer and Ground Anything Anywhere at Any Granularity

Reference 12

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no resolver link, observed 2026-08-06T22:22:37.288321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:22:37.288321Z digest=sha256:09a1cae3febd30b40ae09610dc3fcc7fc527a1f5ac478d27f12573ffc35c097d

Observation 94758521-e0ad-4fef-9396-4cb57a0b7a2c · outbound

This paper cites Hudson and Christopher D.

Grounding-Aware Token Pruning: Recovering from Drastic Performance Drops in Visual Grounding Caused by Pruning Hudson and Christopher D

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-06T22:22:39.759716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:22:37.322374Z digest=sha256:1180d1b37a94354ba36c6d0c3bc0d79c13dccdbd8714092599c0cec2e67798a9

Observation 7ffded63-3567-47ec-910b-4f75f5548ef0 · outbound

This paper cites MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning.

Grounding-Aware Token Pruning: Recovering from Drastic Performance Drops in Visual Grounding Caused by Pruning MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning

Reference 14

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unresolved
no resolver link, observed 2026-08-06T22:22:37.354640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:22:37.354640Z digest=sha256:80e6f040d1c034f9690b3bed2516c9821bf34210f27326579cbaed7d49fec2b0

Observation e5177977-f620-44b3-af16-da781b15a257 · outbound

This paper cites MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding.

Grounding-Aware Token Pruning: Recovering from Drastic Performance Drops in Visual Grounding Caused by Pruning MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T22:22:37.398957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:22:37.398957Z digest=sha256:d81ce3f516f2863d47805266980da839458288b212bce04bbb2e81e659b0bb78

Observation 1047d42b-4035-4686-8f2f-34b0c62f05e4 · outbound

This paper cites ReferItGame: Referring to objects in pho- tographs of natural scenes.

Grounding-Aware Token Pruning: Recovering from Drastic Performance Drops in Visual Grounding Caused by Pruning ReferItGame: Referring to objects in pho- tographs of natural scenes

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:22:39.581887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:22:37.439860Z digest=sha256:afabfa7d24c03cc5e1c86544567dff042b84e8a4ec49bc46bef8d0ed6f796800

Observation 6aaf2107-1780-41a2-9582-3bfcd228cdca · outbound

This paper cites LLaVA-OneVision: Easy Visual Task Transfer.

Grounding-Aware Token Pruning: Recovering from Drastic Performance Drops in Visual Grounding Caused by Pruning LLaVA-OneVision: Easy Visual Task Transfer

Reference 17

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no resolver link, observed 2026-08-06T22:22:37.486139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:22:37.486139Z digest=sha256:801560a977869e46441c4d0f8b62fffce6c9beab0c65fa3d82e48ce3df1ba429

Observation 6b850b5a-68b8-422d-8942-b13c090b933f · outbound

This paper cites Improved baselines with visual instruction tuning, 2023.

Grounding-Aware Token Pruning: Recovering from Drastic Performance Drops in Visual Grounding Caused by Pruning Improved baselines with visual instruction tuning, 2023

Reference 18

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verified fuzzy
raw_fallback, observed 2026-08-06T22:22:39.392107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:22:37.532926Z digest=sha256:f38bc85e61b54744cda65d8d7a2c34dc3a6d699aba6d00638ba2f5621c38e158

Observation 68059e97-b956-4043-b2dd-cd8c386fdc96 · outbound

This paper cites Visual instruction tuning.

Grounding-Aware Token Pruning: Recovering from Drastic Performance Drops in Visual Grounding Caused by Pruning Visual instruction tuning

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:22:39.211131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:22:37.566606Z digest=sha256:967153ea19f5feea5ac28cd3c81709035abf9af3170a7d5d946d26d4b25c6e5c

Observation a98f1f51-a427-4ee7-8008-049e208faa8f · outbound

This paper cites Llava-next: Im- proved reasoning, ocr, and world knowledge, 2024.

Grounding-Aware Token Pruning: Recovering from Drastic Performance Drops in Visual Grounding Caused by Pruning Llava-next: Im- proved reasoning, ocr, and world knowledge, 2024

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-06T22:22:39.048593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:22:37.595557Z digest=sha256:98cd2e36951d8fa2276d9c47ec48629639cd239bf9d98235250b8d624a7293ee

Observation 56f3c6af-f16a-4ade-a470-9398eb3fad83 · outbound

This paper cites Ok-vqa: A visual question answer- ing benchmark requiring external knowledge.

Grounding-Aware Token Pruning: Recovering from Drastic Performance Drops in Visual Grounding Caused by Pruning Ok-vqa: A visual question answer- ing benchmark requiring external knowledge

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-06T22:22:38.868981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:22:37.636569Z digest=sha256:3a0c3a26bdd8095874881604a09506f25db6480c35cc927cd367a7a450b0cad2

Observation 54baaea2-b91c-4979-b628-4e52c11da981 · outbound

This paper cites Llava-prumerge: Adaptive token reduction for efficient large multimodal models.

Grounding-Aware Token Pruning: Recovering from Drastic Performance Drops in Visual Grounding Caused by Pruning Llava-prumerge: Adaptive token reduction for efficient large multimodal models

Reference 22

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no resolver link, observed 2026-08-06T22:22:37.656404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:22:37.656404Z digest=sha256:c4e52355eb72635e62a0cf941b15891db5ce8d336afa4c1a321560aa4a4e31cf

Observation 503b3c1d-7e40-4cf9-b445-c27e3b6e1c85 · outbound

This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

Grounding-Aware Token Pruning: Recovering from Drastic Performance Drops in Visual Grounding Caused by Pruning Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Reference 23

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no resolver link, observed 2026-08-06T22:22:37.694996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:22:37.694996Z digest=sha256:a270e44a0ea1c5d7ef77f6e5f3edc283f67d33a0e78d4bbe056f4c03b4c8027e

Observation 8632f363-36a1-41db-8844-8a1c699956a1 · outbound

This paper cites Less is More: A Simple yet Effective Token Reduction Method for Efficient Multi-modal LLMs.

Grounding-Aware Token Pruning: Recovering from Drastic Performance Drops in Visual Grounding Caused by Pruning Less is More: A Simple yet Effective Token Reduction Method for Efficient Multi-modal LLMs

Reference 24

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no resolver link, observed 2026-08-06T22:22:37.715782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:22:37.715782Z digest=sha256:d939bc7adb65eab713b0eb152d01061bd0baac68e9a9033a9102b24f25b59a59

Observation 7f131960-fa44-40a5-9d6e-9b4f5b04fd33 · outbound

This paper cites SmartTrim: Adaptive Tokens and Attention Pruning for Efficient Vision-Language Models.

Grounding-Aware Token Pruning: Recovering from Drastic Performance Drops in Visual Grounding Caused by Pruning SmartTrim: Adaptive Tokens and Attention Pruning for Efficient Vision-Language Models

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-08-06T22:22:38.253638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:22:37.743642Z digest=sha256:483356e1101560bdfdf088b3b3d3fbe2fffdc810d354c00d10977a8a443721f9

Observation 9006af8c-53da-4f81-ac21-12430f38a059 · outbound

This paper cites CogVLM: Visual Expert for Pretrained Language Models.

Grounding-Aware Token Pruning: Recovering from Drastic Performance Drops in Visual Grounding Caused by Pruning CogVLM: Visual Expert for Pretrained Language Models

Reference 26

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no resolver link, observed 2026-08-06T22:22:37.779534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:22:37.779534Z digest=sha256:0e8a88cc8d83e1008a526d7f3600af1b4b042bcb3883f2a2592b93f673affdee

Observation 740a8bef-e1ff-46b1-89b5-71d8a266bd68 · outbound

This paper cites Sigmoid Loss for Language Image Pre-Training.

Grounding-Aware Token Pruning: Recovering from Drastic Performance Drops in Visual Grounding Caused by Pruning Sigmoid Loss for Language Image Pre-Training

Reference 27

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no resolver link, observed 2026-08-06T22:22:37.804075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:22:37.804075Z digest=sha256:4970ffabdafc76d2d7626b25bcb6047636e1721065d4a0fb3c6146d6702f05a8

Observation f0abc5a8-7da7-4a9b-b116-4f52f17b07b3 · outbound

This paper cites Referring Expression Comprehension: A Survey of Methods and Datasets.

Grounding-Aware Token Pruning: Recovering from Drastic Performance Drops in Visual Grounding Caused by Pruning Referring Expression Comprehension: A Survey of Methods and Datasets

Reference 28

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no resolver link, observed 2026-08-06T22:22:37.839061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:22:37.839061Z digest=sha256:dfe5b9293dec89f8619bb9637a0ca2e0e80cdffdbd7ff00fdcc64e8d49790411

Observation 00fd528a-580c-476a-9dff-37e14e2d1699 · outbound

This paper cites Sparsity Meets Similarity: Leveraging Long-Tail Distribution for Dynamic Optimized Token Representation in Multimodal Large Language Models.

Grounding-Aware Token Pruning: Recovering from Drastic Performance Drops in Visual Grounding Caused by Pruning Sparsity Meets Similarity: Leveraging Long-Tail Distribution for Dynamic Optimized Token Representation in Multimodal Large Language Models

Reference 29

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no resolver link, observed 2026-08-06T22:22:37.891208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:22:37.891208Z digest=sha256:d2e8ffb8b06331ecf1dd8c1a824b98b4e00282bcb978dd4ddb92cece0c261b70

Observation f291d98b-bdaa-49bb-bf10-0afed6d4abc4 · outbound

This paper cites Mm-vet: Evaluating large multimodal models for integrated capabilities, 2023.

Grounding-Aware Token Pruning: Recovering from Drastic Performance Drops in Visual Grounding Caused by Pruning Mm-vet: Evaluating large multimodal models for integrated capabilities, 2023

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:22:38.683766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:22:37.932357Z digest=sha256:2814f3c3ccea9d37cd9575d604a4118cecb72d5b4497e1abdd100dfa6abfb5fe

Observation a7432697-617b-4d76-9b68-62afca620f25 · outbound

This paper cites EVA: Exploring the Limits of Masked Visual Representation Learning at Scale.

Grounding-Aware Token Pruning: Recovering from Drastic Performance Drops in Visual Grounding Caused by Pruning EVA: Exploring the Limits of Masked Visual Representation Learning at Scale

Reference 31

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no resolver link, observed 2026-08-06T22:22:37.974207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:22:37.974207Z digest=sha256:4c51f0ac5b50a78b894e397e7acdcff42bef81568b22e9fc9212a6b45fa19b9c

Observation 9769bad8-5242-44f0-8796-3fb811209059 · outbound

This paper cites Beyond Text-Visual Attention: Exploiting Visual Cues for Effective Token Pruning in VLMs.

Grounding-Aware Token Pruning: Recovering from Drastic Performance Drops in Visual Grounding Caused by Pruning Beyond Text-Visual Attention: Exploiting Visual Cues for Effective Token Pruning in VLMs

Reference 32

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no resolver link, observed 2026-08-06T22:22:38.007759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:22:38.007759Z digest=sha256:e32fc876bfc9b2d2f3ed90888006614307d83751071135c8d7b35bc03fe15ec7

Observation 8406bbc7-9c0c-4615-b864-0bf5b81d436a · outbound

This paper cites Sparsevlm: Visual token sparsification for efficient vision- language model inference.

Grounding-Aware Token Pruning: Recovering from Drastic Performance Drops in Visual Grounding Caused by Pruning Sparsevlm: Visual token sparsification for efficient vision- language model inference

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:22:38.533842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:22:38.056203Z digest=sha256:c54a0b1c5e8697d9fdf386a14db3ce63e055ebdd39fd97197071870448b8c358

Pith citing papers

Observation 1d10623c-83fb-4f45-95cd-23b3146a6d3d · 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 Grounding-Aware Token Pruning: Recovering from Drastic Performance Drops in Visual Grounding Caused by Pruning

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-07-03T11:28:04.117867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-27T09:35:24.118536Z digest=sha256:0da67255d6ca1cc613b07f6f35c5b2d3298518a6cf91189a6ae587a177eae0ab

Observation dd37fb2c-b09e-4a78-b543-4a85336b2d2f · inbound

Token-Sparse Medical Multimodal Reasoning via Dual-Stream Reinforcement Learning cites this paper.

Token-Sparse Medical Multimodal Reasoning via Dual-Stream Reinforcement Learning Grounding-Aware Token Pruning: Recovering from Drastic Performance Drops in Visual Grounding Caused by Pruning

Reference 26

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T10:15:45.167041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-07-01T05:36:43.609602Z digest=sha256:ba1a66347cf61c4820c130d11b6cbf64c9d77c33fca9f434876caf3a23847d06

Observation 9580cabb-5320-4a7c-ba02-205e08d07265 · inbound

Beyond Accuracy: Auditing Spatial Provenance in Visual Token Pruning for OCR-Critical MLLM Inference cites this paper.

Beyond Accuracy: Auditing Spatial Provenance in Visual Token Pruning for OCR-Critical MLLM Inference Grounding-Aware Token Pruning: Recovering from Drastic Performance Drops in Visual Grounding Caused by Pruning

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-04T01:29:54.348125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T01:29:54.348125Z digest=sha256:1145687a75313714824c13a7e632516e1c0996704018c28f766e3bdf09a35107

Observation 1208ac5a-4bec-4880-8f3e-70d05e81322a · inbound

Beyond Accuracy: Auditing Spatial Provenance in Visual Token Pruning for OCR-Critical MLLM Inference cites this paper.

Beyond Accuracy: Auditing Spatial Provenance in Visual Token Pruning for OCR-Critical MLLM Inference Grounding-Aware Token Pruning: Recovering from Drastic Performance Drops in Visual Grounding Caused by Pruning

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-05T04:26:51.521243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T04:26:51.521243Z digest=sha256:8cf50f5ff62db9542b7ab7a779db09895207cbc0a00ad80550783dad6c9138c7