Paper Citation Record · LEDGER

Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers

As of 7 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2507.23362.

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

pith.paper-citation-record.v1
2507.23362 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:55:18.369233Z

measured 52 of 52 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 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

52 of 52 outbound references displayed

verified exact0
verified fuzzy1
unresolved51
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 62f27981-59b1-4c18-b617-f3a9f3165287 · outbound

This paper cites Transformer Block Coupling and its Correlation with Generalization in LLMs.

Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers Transformer Block Coupling and its Correlation with Generalization in LLMs

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T10:55:18.066263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f0ee500-bbf8-493e-98c2-e81fc721723e · outbound

This paper cites Qwen Technical Report.

Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers Qwen Technical Report

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T10:55:18.072694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a4a1e77-3c4d-42b2-bfd8-447fb0a9264f · outbound

This paper cites an unresolved cited work.

Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T10:55:18.079820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d8d6128-7e7b-4499-a4ce-59908613c92f · outbound

This paper cites an unresolved cited work.

Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T10:55:18.086456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c9511e9-cd8f-4a98-a2a2-b3d273406492 · outbound

This paper cites Streamlining Redundant Layers to Compress Large Language Models.

Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers Streamlining Redundant Layers to Compress Large Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T10:55:18.094704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5517b1f-5b07-4274-ba9a-c626a663350c · outbound

This paper cites an unresolved cited work.

Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:55:19.513385Z

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.

Observation 38911b60-6558-4c1a-b884-397ae0eb9ed7 · outbound

This paper cites GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers.

Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T10:55:18.106740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f6e26ba-33e1-4db7-9afc-fde24bcd281c · outbound

This paper cites an unresolved cited work.

Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:55:19.487238Z

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.

Observation b319c30d-11e5-4fec-8141-9c62fa11e5a4 · outbound

This paper cites an unresolved cited work.

Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:55:19.464423Z

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.

Observation 3604168d-f138-406a-a2f9-3bf081d54965 · outbound

This paper cites an unresolved cited work.

Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:55:19.435794Z

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.

Observation bcab9834-a370-4cff-9f4f-0d1f01636d0d · outbound

This paper cites The Unreasonable Ineffectiveness of the Deeper Layers.

Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers The Unreasonable Ineffectiveness of the Deeper Layers

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T10:55:18.132568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96060754-7202-4d38-9181-099bc3c2807a · outbound

This paper cites an unresolved cited work.

Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:55:19.414275Z

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.

Observation 2cc3eec8-7b3c-4ea6-8f86-9412d06c521b · outbound

This paper cites an unresolved cited work.

Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:55:19.390913Z

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.

Observation e853e097-9f92-4ee5-88cc-86a749e4688d · outbound

This paper cites an unresolved cited work.

Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:55:19.372582Z

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.

Observation 105dca4c-5ac0-4429-9d20-5e24d14b8e5d · outbound

This paper cites Scaling Laws for Neural Language Models.

Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers Scaling Laws for Neural Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T10:55:18.156627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1379d30-037d-4454-a754-4ed7837a1795 · outbound

This paper cites an unresolved cited work.

Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:55:19.353943Z

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.

Observation e315d289-dc92-4f50-b5b1-1e9c769d606a · outbound

This paper cites an unresolved cited work.

Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:55:19.335091Z

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.

Observation f698518a-f5ca-4763-8231-d4fba0216d86 · outbound

This paper cites an unresolved cited work.

Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:55:19.316142Z

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.

Observation 35a4f014-31da-422f-a6ec-e100b6c927f0 · outbound

This paper cites an unresolved cited work.

Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T10:55:18.185268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed9adbe6-f1f4-486d-abbd-208156000e88 · outbound

This paper cites an unresolved cited work.

Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:55:19.282496Z

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.

Observation fdc7355a-a878-48c0-a559-eb2e5a9c13c0 · outbound

This paper cites Boosting Multimodal Large Language Models with Visual Tokens Withdrawal for Rapid Inference.

Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers Boosting Multimodal Large Language Models with Visual Tokens Withdrawal for Rapid Inference

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T10:55:18.205488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82ebe26c-472a-4c22-a687-a4c18b6cf0e7 · outbound

This paper cites an unresolved cited work.

Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers Unresolved cited work

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T10:55:18.210660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c5001e5-8df1-4aa2-8753-1abb086fc89c · outbound

This paper cites an unresolved cited work.

Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T10:55:18.215576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7878e3f-2d34-4f8e-90b8-4fb04e8c402d · outbound

This paper cites an unresolved cited work.

Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:55:19.227337Z

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.

Observation e80eba60-7c54-42d2-89e9-8df683e5f489 · outbound

This paper cites an unresolved cited work.

Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers Unresolved cited work

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T10:55:18.225732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fcaac9e-d38d-4c73-8cb2-ea1c002dcd12 · outbound

This paper cites an unresolved cited work.

Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:55:19.185815Z

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.

Observation 36ae3d76-ac42-49bb-95f1-76b92fa6fc76 · outbound

This paper cites $\gamma-$MoD: Exploring Mixture-of-Depth Adaptation for Multimodal Large Language Models.

Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers $\gamma-$MoD: Exploring Mixture-of-Depth Adaptation for Multimodal Large Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T10:55:18.235792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d74590ca-56e9-464e-a1e6-65f6c91ef3a5 · outbound

This paper cites an unresolved cited work.

Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:55:19.156325Z

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.

Observation 0175df9a-e8a9-4aca-bce3-94f1606230c1 · outbound

This paper cites an unresolved cited work.

Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers Unresolved cited work

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T10:55:18.246608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 193ca694-3e7f-4845-975d-a9dd0fd0b7d5 · outbound

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

Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers ShortGPT: Layers in Large Language Models are More Redundant Than You Expect

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T10:55:18.254488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82e8d62e-6f6c-4698-ad14-9bed170ede23 · outbound

This paper cites an unresolved cited work.

Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers Unresolved cited work

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T10:55:18.259929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 724f076b-2b9c-414b-a774-d797cdb7340a · outbound

This paper cites an unresolved cited work.

Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:55:19.097106Z

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.

Observation 5340a0f1-ea0b-4bb6-8aa1-314f086a4dc2 · outbound

This paper cites Instruction Tuning with GPT-4.

Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers Instruction Tuning with GPT-4

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T10:55:18.276173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4fa36a5-3a82-441a-9cb3-ff9879127152 · outbound

This paper cites an unresolved cited work.

Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:55:19.072235Z

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.

Observation dddef11c-d13a-490f-bc6b-f94b78716337 · outbound

This paper cites an unresolved cited work.

Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers Unresolved cited work

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T10:55:18.286111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c6265d6-7c27-4383-98ab-0c747d4ce95d · outbound

This paper cites an unresolved cited work.

Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:55:19.041106Z

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.

Observation ec0219c8-ea7a-437e-b6a6-643da53ca0c8 · outbound

This paper cites SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks.

Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T10:55:18.296382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ea3cd97-8044-4f8c-81c2-b7d859ae3237 · outbound

This paper cites an unresolved cited work.

Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:55:19.007182Z

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.

Observation ec648a37-ab0c-4dfb-aa69-65492c6c557b · outbound

This paper cites an unresolved cited work.

Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers Unresolved cited work

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T10:55:18.307150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 007aff39-a6b7-4000-953a-99a3169e001f · outbound

This paper cites an unresolved cited work.

Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:55:18.961005Z

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.

Observation a7b7d747-2335-4390-95f1-e30c9078c1ac · outbound

This paper cites an unresolved cited work.

Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:55:18.935006Z

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.

Observation 7b40f3e3-d913-476d-add1-5307f7fb8f31 · outbound

This paper cites Pruning All-Rounder: Rethinking and Improving Inference Efficiency for Large Vision Language Models.

Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers Pruning All-Rounder: Rethinking and Improving Inference Efficiency for Large Vision Language Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T10:55:18.312164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e93c594-3170-4509-a814-4705b2c4a595 · outbound

This paper cites an unresolved cited work.

Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:55:18.909391Z

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.

Observation 55e0e97f-c34a-40cd-b98f-e360c24789ba · outbound

This paper cites Qwen2.5 Technical Report.

Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers Qwen2.5 Technical Report

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T10:55:18.338390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24beef64-eceb-48b7-b56c-19955bb7bba0 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers LLaMA: Open and Efficient Foundation Language Models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T10:55:18.327596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7cb9ebd7-fabf-4b7d-a2dd-ff64044b7cd8 · outbound

This paper cites an unresolved cited work.

Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers Unresolved cited work

Reference 47

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:55:18.854701Z

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.

Observation 73c887e9-f33a-4fb4-8e9a-3a97ec191a32 · outbound

This paper cites ATP-LLaVA: Adaptive Token Pruning for Large Vision Language Models.

Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers ATP-LLaVA: Adaptive Token Pruning for Large Vision Language Models

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T10:55:18.362610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad7eac31-d8ec-49d3-80a1-4dc3e9ec6536 · outbound

This paper cites an unresolved cited work.

Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers Unresolved cited work

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T10:55:18.344677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b6a3dd9-4a62-41d7-80cd-7e7595b91974 · outbound

This paper cites an unresolved cited work.

Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers Unresolved cited work

Reference 53

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:55:18.835393Z

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.

Observation bd5b220a-3920-474c-bb0e-47dae0433a81 · outbound

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

Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers Evaluating Object Hallucination in Large Vision-Language Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T10:55:18.193479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3146891-ea2f-4e93-8e4b-87ba1a9705b5 · outbound

This paper cites Towards Interpreting Visual Information Processing in Vision-Language Models.

Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers Towards Interpreting Visual Information Processing in Vision-Language Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T10:55:18.265684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d3426fe-7b78-4653-8226-6ef4527355d6 · outbound

This paper cites In Proceedings of the Computer Vision and Pattern MM ’25, October 27–31, 2025, Dublin, Ireland Ji Ma, Wei Suo, Peng Wang, and Yanning Zhang Recognition Conference.

Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers In Proceedings of the Computer Vision and Pattern MM ’25, October 27–31, 2025, Dublin, Ireland Ji Ma, Wei Suo, Peng Wang, and Yanning Zhang Recognition Conference

Reference 2025

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:55:18.875387Z

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.

Pith citing papers

No inbound Pith citation observations are available.