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Paper Citation Record · LEDGER

Searching for Task-Specific Vision Paths: Evolutionary Block Pruning Across Vision-Language Models

As of 23 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2607.17052.

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

pith.paper-citation-record.v1
2607.17052 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T19:13:28.370100Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

17 of 17 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8c7d2e7d-1e3f-46ca-bdee-2b728e77a54d · outbound

This paper cites MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models.

Searching for Task-Specific Vision Paths: Evolutionary Block Pruning Across Vision-Language Models MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

Reference 6

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no resolver link, observed 2026-08-01T19:13:26.492724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:13:26.492724Z digest=sha256:e3ea289c2ae4f4bd7b7b5bd07627cfd5d229fc8913b65f9cd833ffadaba6f0f9

Observation 2acd7d30-87a5-4774-8adc-4f513cea777d · outbound

This paper cites Evaluating Object Hallucination in Large Vision-Language Models.

Searching for Task-Specific Vision Paths: Evolutionary Block Pruning Across Vision-Language Models Evaluating Object Hallucination in Large Vision-Language Models

Reference 12

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T19:13:27.387879Z digest=sha256:d99ce89f6060f6737757175b531654bb9ee8af7791691f42c0befbe9bd581704

Observation bc369232-6866-4aa2-b56b-804ededcad16 · outbound

This paper cites URL https://arxiv.org/abs/2507.23362.

Searching for Task-Specific Vision Paths: Evolutionary Block Pruning Across Vision-Language Models URL https://arxiv.org/abs/2507.23362

Reference 13

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no resolver link, observed 2026-08-01T19:13:27.518589Z

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source=pdf_text observed=2026-08-01T19:13:27.518589Z digest=sha256:b52517a1206adc2f605dd5a156f6ea10a46dc4c4c8583ad7097f9a73792a7318

Observation b44badf2-af63-4e51-98b8-6aaceafd670a · outbound

This paper cites ShortGPT: Layers in Large Language Models are More Redundant Than You Expect.

Searching for Task-Specific Vision Paths: Evolutionary Block Pruning Across Vision-Language Models ShortGPT: Layers in Large Language Models are More Redundant Than You Expect

Reference 14

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no resolver link, observed 2026-08-01T19:13:27.639654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:13:27.639654Z digest=sha256:7cac45146da3186be3cb0bb9544c04310baf77eb313414ce85dfa57f97e7db70

Observation ccfc20c0-2d32-41d2-ab01-497018d1e0ea · outbound

This paper cites Ce Zhang, Kaixin Ma, Tianqing Fang, Wenhao Yu, Hongming Zhang, Zhisong Zhang, Haitao Mi, and Dong Yu.

Searching for Task-Specific Vision Paths: Evolutionary Block Pruning Across Vision-Language Models Ce Zhang, Kaixin Ma, Tianqing Fang, Wenhao Yu, Hongming Zhang, Zhisong Zhang, Haitao Mi, and Dong Yu

Reference 17

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no resolver link, observed 2026-08-01T19:13:28.082394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:13:28.082394Z digest=sha256:7b6b16ad9a63000989a3a34da6e628e48ea30976bd29cc09734a7c8ef1c4c0c7

Observation 2127904e-8340-4776-bd44-cc5f73d58871 · outbound

This paper cites Yuan Zhang, Chun-Kai Fan, Junpeng Ma, Wenzhao Zheng, Tao Huang, Kuan Cheng, Denis Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, et al.

Searching for Task-Specific Vision Paths: Evolutionary Block Pruning Across Vision-Language Models Yuan Zhang, Chun-Kai Fan, Junpeng Ma, Wenzhao Zheng, Tao Huang, Kuan Cheng, Denis Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, et al

Reference 18

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no resolver link, observed 2026-08-01T19:13:28.236313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:13:28.236313Z digest=sha256:8a546fc5fc70dd1430cd94dd1192c134e496db97fb779751c75ee2889ebdaef9

Observation f31faea6-6422-447e-ae2f-ab364101c218 · outbound

This paper cites SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference.

Searching for Task-Specific Vision Paths: Evolutionary Block Pruning Across Vision-Language Models SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference

Reference 19

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source=pdf_text observed=2026-08-01T19:13:28.370100Z digest=sha256:6df83e88a715da2c8d4fe22ef2a3824c8f54052233f7a1f602a40bc6c74338fe

Observation e279c631-eb7a-41fc-bd58-99bf15b53ee5 · outbound

This paper cites Chaoyou Fu, Peixian Chen, Yunhang Shen, Yulei Qin, Mengdan Zhang, Xu Lin, Jinrui Yang, Xiawu Zheng, Ke Li, Xing Sun, Yunsheng Wu, and Rongrong Ji.

Searching for Task-Specific Vision Paths: Evolutionary Block Pruning Across Vision-Language Models Chaoyou Fu, Peixian Chen, Yunhang Shen, Yulei Qin, Mengdan Zhang, Xu Lin, Jinrui Yang, Xiawu Zheng, Ke Li, Xing Sun, Yunsheng Wu, and Rongrong Ji

Reference 2002

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:13:26.395946Z digest=sha256:f63b98ffd1f9ad37888ccf82488169c51f998577f601b5f289f7bec8ca5af402

Observation 62664176-8a94-4ea5-845f-a434090faaca · outbound

This paper cites Yongming Rao, Wenliang Zhao, Benlin Liu, Jiwen Lu, Jie Zhou, and Cho-Jui Hsieh.

Searching for Task-Specific Vision Paths: Evolutionary Block Pruning Across Vision-Language Models Yongming Rao, Wenliang Zhao, Benlin Liu, Jiwen Lu, Jie Zhou, and Cho-Jui Hsieh

Reference 2012

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verified exact
doi, observed 2026-08-01T19:19:12.632217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-01T19:13:27.777712Z digest=sha256:d94cd9f6db05f2da885f9206688b35dc0881852c258a1983ac126ee487e65bbb

Observation 9a380d2e-0e92-4e99-ab94-937e0b96ea69 · outbound

This paper cites Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering.

Searching for Task-Specific Vision Paths: Evolutionary Block Pruning Across Vision-Language Models Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering

Reference 2017

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:13:26.665422Z digest=sha256:c40a8f3b4247532a225faf9bcc9788eea984e145d1c3e6173833c94a4dc0286c

Observation e21c82d4-2a06-49a2-9365-b447c7994d92 · outbound

This paper cites TallyQA: Answering Complex Counting Questions.

Searching for Task-Specific Vision Paths: Evolutionary Block Pruning Across Vision-Language Models TallyQA: Answering Complex Counting Questions

Reference 2019

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source=pdf_text observed=2026-08-01T19:13:25.847788Z digest=sha256:dc1e620c7650e09b68036875615c64a4c37d469c5df487d0afb4bcbfeed00e9f

Observation 537867d7-0d4c-4c51-889b-7e84a0d94887 · outbound

This paper cites Scaling Laws for Neural Language Models.

Searching for Task-Specific Vision Paths: Evolutionary Block Pruning Across Vision-Language Models Scaling Laws for Neural Language Models

Reference 2020

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no resolver link, observed 2026-08-01T19:13:27.047753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:13:27.047753Z digest=sha256:ee84180db67cba4284fe0dcaed96a2ac558b985bb2e122f2c27ca493750bb563

Observation 24449e0d-0655-4c2c-b96f-e4c7f936677e · outbound

This paper cites DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification.

Searching for Task-Specific Vision Paths: Evolutionary Block Pruning Across Vision-Language Models DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification

Reference 2021

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source=pdf_text observed=2026-08-01T19:13:27.889997Z digest=sha256:aa3ab6c802c643a3b84fc24faabd3bbb6e6f18b86c9ba07d2502befb24083075

Observation 99659077-08c9-4495-aa45-931a9d9d2edc · outbound

This paper cites Training Compute-Optimal Large Language Models.

Searching for Task-Specific Vision Paths: Evolutionary Block Pruning Across Vision-Language Models Training Compute-Optimal Large Language Models

Reference 2022

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source=pdf_text observed=2026-08-01T19:13:26.842356Z digest=sha256:9f752b7b48b8b4ed411ce596575b7dda1e3544325e3693a13de6c346fcf406e9

Observation 9b234fb0-3bc8-4ad3-af2f-c7c5faddd76c · outbound

This paper cites Token Merging: Your ViT But Faster.

Searching for Task-Specific Vision Paths: Evolutionary Block Pruning Across Vision-Language Models Token Merging: Your ViT But Faster

Reference 2023

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:13:26.273281Z digest=sha256:6f2b926dcadd6ed8ed7456ce1b9ba0fdac41da9cc01c7639dd792fefa972d475

Observation cb4908bc-029e-4789-9d94-4c775c3dfd81 · outbound

This paper cites SliceGPT: Compress Large Language Models by Deleting Rows and Columns.

Searching for Task-Specific Vision Paths: Evolutionary Block Pruning Across Vision-Language Models SliceGPT: Compress Large Language Models by Deleting Rows and Columns

Reference 2024

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source=pdf_text observed=2026-08-01T19:13:25.952379Z digest=sha256:26bc983ed24359e313938c43e41d262dcdb55a52b95309d5cd036730909a667b

Observation 382f9304-4a30-47bb-b538-1848a1dd3428 · outbound

This paper cites Qwen2.5-VL Technical Report.

Searching for Task-Specific Vision Paths: Evolutionary Block Pruning Across Vision-Language Models Qwen2.5-VL Technical Report

Reference 2025

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source=pdf_text observed=2026-08-01T19:13:26.125525Z digest=sha256:2be9408adf53e0c1194fc894530f36570c7db2cc38be0908784eff454efaf021

Pith citing papers

No inbound Pith citation observations are available.