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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 8 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 2026-08-07T06:34:17.273281+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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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:e10f8eda8e16ed7b08b62e230cdaf4e197d7bfb7c55873125a5f4fd963c9c7e6

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:22:34.319536Z digest=sha256:141799036437b4d62e45bc13d1cef4a67a4dfcdad7463372fde501f6f2d99a57

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=sha256:5bb7a962a98c54c8bd555d54ec1a03cc1bec9bb80aa0c1951d44c42502dc73b4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:22:34.502806Z digest=sha256:78bcb48a54ceaeffe73eba1ceffab62fd9a32a4fb2f8c818b36aeff837e02110

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=sha256:72ce0952f18dfc2c682f4273b83961e69f2017f668f7f0713860be81b2b99ecc

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:22:36.588326Z digest=sha256:2efe29b8f256dacb668a83a2c55174ad08e6d16444e0ddf572283b4d3fb34ba5

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:22:36.892337Z digest=sha256:9dade1c11d0c93a5089bd5229cdd123128e520c5013488a95bfaed3083bf5936

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:22:36.947010Z digest=sha256:1e9e101d8aab8e3e4934546927ee43a6644db040508e6df99bc646bf574c6deb

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:af3b3462fac72ebadc8dc06abd05b7ee65e9b579e56d4ce95a6e43afb5ffc6f6

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:22:37.158952Z digest=sha256:92a450b55ba4ae20f18ab0ef1118fa15ba412fb2caa6dd6c451a8bf39a1c86c3

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:22:37.240849Z digest=sha256:cc77b80d4f1eed65e9841bbb6577369d769ad49b8ee63eb4d4481d1b2332d3cd

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=sha256:48c66ebf32197b2d6822e04dbe3230766444ae14fb7f6d3239fc2c5cea3080b4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:22:37.322374Z digest=sha256:014668afa97d041853d704b60a125b835c028d808cd94d921107c50fd765cfca

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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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=sha256:57a05b8aab178255913acfed861df5821c0838a484e4ab318b507080f2ad46cb

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

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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:b719af86aa6efdffc038d930c72f126d8a0a36343776689b10c1f6ef52790667

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:22:37.439860Z digest=sha256:bda4c921c84112c92fba1df97ff392775e31918f476a9bde9234b25b2ff52505

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=sha256:9900db23f444733e8b15f2d06e5b2c84f9a90a2f745652c611186df8c411faa5

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:22:37.532926Z digest=sha256:3a02da64d40dfbb22b6f17e6eb8eb8e4429ac64a698e17ec8c49477e92498d89

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:22:37.566606Z digest=sha256:19efa7f41416ece805a1b9692207c4baef82d93851a0af19ae2d063fddb7934e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:22:37.595557Z digest=sha256:00b724066ba8f05c70fe4b5388ff10c2dd65091c42938f5e0693dcf01fab5293

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:22:37.636569Z digest=sha256:f3476ac62b86a4b4effdd0fb81ed2a7bcde7a23a6034c8d9acd5e16682ad68f2

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:22:37.656404Z digest=sha256:678df7d9f4e0cabb18dc117f95bc7b8f72828b02feb7327c4181e09b8d0637de

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:22:37.694996Z digest=sha256:77ae2002e93527d87ba9385272d64deef2acdcda3b5c91b188c96b8c47449f86

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=sha256:73d3a5291712fa8ec30f858341b8853fe7fbdd460de94eb77ff17cff9dea5990

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:22:37.743642Z digest=sha256:313d3c8e55b4282ff7830d90254550fc971d6d87b00272dab41be95f24ea05fd

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=sha256:20eaa3925e0eb9008987cb5c355ba66929fb0b672bb80b60475707e707fa5f6d

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:b72ba277ca60b0312ecb919f3dc50ba2a8bea46ec9f125074f762d521255ad24

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=sha256:0ec4b53f5c297cb05e62f2c59556c91e529355dfa2198628b65d3c827820e722

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:b8c724535b7cbdbc8566c63b6976ec2161d7778f10e2937e9277155a44727aef

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:22:37.932357Z digest=sha256:b5782dbe15029ba44d53704f19748d5323bb54e5b531bffbd96d81632473df1f

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=sha256:42faacd7d5a99c526b1be0de9acbca31423e2347fff4e97f82364c654f165930

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:22:38.007759Z digest=sha256:ec643081764541793751904fbb0401b68ead832f73f2c9f2a77375fec218050b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:22:38.056203Z digest=sha256:824d9a5fe5a8041f15e4405ae2231b9b316d367680c8c53a3cc57550de6f1b5c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T09:35:24.118536Z digest=sha256:fb6ee0bc7d79a35a7a7b09b9efa8c8363a7b2b39625d7c9b0f1dcd0d2ff84785

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-07-01T05:36:43.609602Z digest=sha256:71e09aeb560080c711b47e24d06b68fbb1ef3b50c5b92755b2b3d1afc36c575d

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=sha256:64a8826b8c9fdf428544bcc4a06d1b715ac508ca0cf3b9fb386ed6dbf5596f32

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:fa16e8361b667f4ec4b60ea6d7387caf68573651ea22d4705fe8f6411353ed7c