Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-15T14:58:32.303101Z
Paper Citation Record · LEDGER
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
As of 5 August 2026, this Paper Citation Record lists 100 of 113 outbound references and 73 inbound Pith citation observations for arXiv:2410.04417.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T20:38:45.767775Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-09T21:36:34.338168Z
Reference resolution
100 of 113 outbound references displayed
- verified exact4
- verified fuzzy73
- unresolved12
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation bbe4c423-ab03-42f4-b5e2-fe252c8a6b48 · outbound
This paper cites Flamingo: a visual language model for few-shot learning.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Flamingo: a visual language model for few-shot learning
Reference 1
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation cd787a66-e539-4c2f-8b84-95613a1b46eb · outbound
This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond
Reference 2
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1a401b2f-33b0-4831-b485-4e2b6f5922a8 · outbound
This paper cites Token merging: Your vit but faster.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Token merging: Your vit but faster
Reference 3
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1bf9eeb3-61b2-475b-9457-47bfafa855c9 · outbound
This paper cites D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al
Reference 4
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation cafe519d-cde9-4316-b842-b24e6df4374e · outbound
This paper cites an unresolved cited work.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Unresolved cited work
Reference 5
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7f725070-82e0-43cf-8883-b6dc3f650174 · outbound
This paper cites Honeybee: Locality-enhanced projector for multimodal llm.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Honeybee: Locality-enhanced projector for multimodal llm
Reference 6
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4b3d7932-8a27-4b6e-a91b-f19c9a050d7e · outbound
This paper cites An image is worth 1/2 tokens after layer 2: Plug-and-play inference acceleration for large vision-language models.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference An image is worth 1/2 tokens after layer 2: Plug-and-play inference acceleration for large vision-language models
Reference 7
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 76c7ad83-e08f-4570-a827-5f62e76e5301 · outbound
This paper cites Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks
Reference 8
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a57b32f8-ea2a-4b29-b11b-3d09a8ca36f4 · outbound
This paper cites Instruct BLIP : Towards general-purpose vision-language models with instruction tuning.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Instruct BLIP : Towards general-purpose vision-language models with instruction tuning
Reference 9
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 254cd483-b4ca-46a6-847b-d0ff915f4d1b · outbound
This paper cites Flash A ttention: Fast and memory-efficient exact attention with io-awareness.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Flash A ttention: Fast and memory-efficient exact attention with io-awareness
Reference 10
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ff3b4942-7816-4ee2-a132-6ac3117703a5 · outbound
This paper cites Glm: General language model pretraining with autoregressive blank infilling.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Glm: General language model pretraining with autoregressive blank infilling
Reference 11
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 92526777-bc9e-47d2-a87d-a1b12af27062 · outbound
This paper cites MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models
Reference 12
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f9c66094-2fab-4ff3-a26d-645bd5c45850 · outbound
This paper cites Making the v in vqa matter: Elevating the role of image understanding in visual question answering.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Making the v in vqa matter: Elevating the role of image understanding in visual question answering
Reference 13
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8aa3d3cc-adde-4128-b499-10de1ef2cafa · outbound
This paper cites an unresolved cited work.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Unresolved cited work
Reference 14
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f4a288f2-9cfa-4c01-b2c2-7f927990e616 · outbound
This paper cites Tgif-qa: Toward spatio-temporal reasoning in visual question answering.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Tgif-qa: Toward spatio-temporal reasoning in visual question answering
Reference 15
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 641ea025-3580-4247-ad2e-b03e7e3498d5 · outbound
This paper cites Videopoet: A large language model for zero-shot video generation.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Videopoet: A large language model for zero-shot video generation
Reference 16
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c5880045-832e-43ec-8c78-0c13e6d2cb5b · outbound
This paper cites Seed-bench: Benchmarking multimodal large language models.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Seed-bench: Benchmarking multimodal large language models
Reference 17
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 52163e20-d853-4853-b04c-3f3b9d4b32b8 · outbound
This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models
Reference 18
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 04fb6005-a86e-4d52-8934-9e354e6c6090 · outbound
This paper cites X., and Wen, J.-R.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference X., and Wen, J.-R
Reference 19
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 546aa8b8-bc21-4b7b-ba8b-9a0e60644508 · outbound
This paper cites LLaMA-VID : An image is worth 2 tokens in large language models.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference LLaMA-VID : An image is worth 2 tokens in large language models
Reference 20
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation fc677043-36e8-499e-b951-f40ebe3202d3 · outbound
This paper cites Video-llava: Learning united visual representation by alignment before projection.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Video-llava: Learning united visual representation by alignment before projection
Reference 22
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation 1e1169e2-7dc8-4c42-977e-28830054fe61 · outbound
This paper cites an unresolved cited work.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Unresolved cited work
Reference 23
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Source-reported events for the cited work
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Observation 1670af51-a156-45e5-a905-798c7dd2a347 · outbound
This paper cites an unresolved cited work.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Unresolved cited work
Reference 24
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Source-reported events for the cited work
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Observation e716eee0-0727-4e68-8209-d2badfe2593d · outbound
This paper cites Mmbench: Is your multi-modal model an all-around player? In Proceedings of the European Conference on Computer Vision, 2024 c.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Mmbench: Is your multi-modal model an all-around player? In Proceedings of the European Conference on Computer Vision, 2024 c
Reference 25
- Resolution
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Source-reported events for the cited work
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Observation 0b880c23-be0f-497e-8c54-10518daf84cd · outbound
This paper cites A convnet for the 2020s.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference A convnet for the 2020s
Reference 26
- Resolution
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Source-reported events for the cited work
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Observation 1384f337-b89e-4f90-b802-c3f1b397ba53 · outbound
This paper cites Learn to explain: Multimodal reasoning via thought chains for science question answering.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Learn to explain: Multimodal reasoning via thought chains for science question answering
Reference 27
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation 96097744-1bae-417d-bb5c-5b618c1f49ba · outbound
This paper cites Video-chatgpt: Towards detailed video understanding via large vision and language models.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Video-chatgpt: Towards detailed video understanding via large vision and language models
Reference 28
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 40912adb-d435-4732-b824-833bcb3049bf · outbound
This paper cites Vision: A computational investigation into the human representation and processing of visual information.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Vision: A computational investigation into the human representation and processing of visual information
Reference 29
- Resolution
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Source-reported events for the cited work
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Observation 1324da50-7d94-4321-afd7-6cebe2d1146e · outbound
This paper cites Language models are unsupervised multitask learners.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Language models are unsupervised multitask learners
Reference 31
- Resolution
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Source-reported events for the cited work
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Observation 39cbe1d0-fb5e-4aa6-a2a0-fe81294ae6bc · outbound
This paper cites Clustering by fast search and find of density peaks.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Clustering by fast search and find of density peaks
Reference 32
- Resolution
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Source-reported events for the cited work
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Observation 4cf49f61-7616-452a-ac68-1acacc84ba21 · outbound
This paper cites Towards VQA models that can read.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Towards VQA models that can read
Reference 34
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ab59e97b-3e02-4df7-bc2a-78daf15a3f6c · outbound
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SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Unresolved cited work
Reference 35
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Observation 0f25f953-2a84-4b5d-8723-49d9b3ec9fe5 · outbound
This paper cites N., Kaiser, ., and Polosukhin, I.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference N., Kaiser, ., and Polosukhin, I
Reference 38
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1a0f098d-100b-4a31-bd7a-cf6bd86f49b7 · outbound
This paper cites Q., Wang, Q., Gao, Y., Xu, Q., Xu, T., Hu, Y., Chen, E., and Shou, M.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Q., Wang, Q., Gao, Y., Xu, Q., Xu, T., Hu, Y., Chen, E., and Shou, M
Reference 39
- Resolution
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Source-reported events for the cited work
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Observation edc6858b-c696-4eaa-b4eb-28514079b42b · outbound
This paper cites Pyramiddrop: Accelerating your large vision-language models via pyramid visual redundancy reduction.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Pyramiddrop: Accelerating your large vision-language models via pyramid visual redundancy reduction
Reference 40
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4c61b5a2-368f-4dc9-8d3a-ac6c510359b5 · outbound
This paper cites Video question answering via gradually refined attention over appearance and motion.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Video question answering via gradually refined attention over appearance and motion
Reference 41
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 139efa7c-ec3a-43f4-b657-741794c2b013 · outbound
This paper cites DeCo: Decoupling Token Compression from Semantic Abstraction in Multimodal Large Language Models.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference DeCo: Decoupling Token Compression from Semantic Abstraction in Multimodal Large Language Models
Reference 42
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 20e3e900-2492-4fc6-94a2-4a48e6faa88a · outbound
This paper cites VoCo-LLaMA : Towards vision compression with large language models.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference VoCo-LLaMA : Towards vision compression with large language models
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T14:58:32.477231Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation cf1e51f3-4088-4d9c-a1ea-a29d20ea99b3 · outbound
This paper cites Mm-vet: Evaluating large multimodal models for integrated capabilities.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Mm-vet: Evaluating large multimodal models for integrated capabilities
Reference 44
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9d820b12-87ab-4189-8888-df4f77de4dea · outbound
This paper cites Activitynet-qa: A dataset for understanding complex web videos via question answering.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Activitynet-qa: A dataset for understanding complex web videos via question answering
Reference 45
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation afc66c46-bd6b-40b2-9fda-f8f806fd62b7 · outbound
This paper cites Unveiling the tapestry of consistency in large vision-language models.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Unveiling the tapestry of consistency in large vision-language models
Reference 46
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e7e7e5a1-7f14-4504-905d-66405628a671 · outbound
This paper cites Freekd: Knowledge distillation via semantic frequency prompt.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Freekd: Knowledge distillation via semantic frequency prompt
Reference 47
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b6b3b280-f33c-47d6-ba60-6b2a9b2c8f5c · outbound
This paper cites Languagebind: Extending video-language pretraining to n-modality by language-based semantic alignment.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Languagebind: Extending video-language pretraining to n-modality by language-based semantic alignment
Reference 48
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9dbea14a-1625-433b-94d0-474443087fb7 · outbound
This paper cites Minigpt-4: Enhancing vision-language understanding with advanced large language models.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Minigpt-4: Enhancing vision-language understanding with advanced large language models
Reference 49
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 62c34109-145b-421b-aafc-86aa2e22a468 · outbound
This paper cites Scaling Learning Algorithms Towards.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Scaling Learning Algorithms Towards
Reference 50
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9ecf8bcc-c241-4b63-814a-1dbe9498f065 · outbound
This paper cites and Osindero, Simon and Teh, Yee Whye , journal =.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference and Osindero, Simon and Teh, Yee Whye , journal =
Reference 51
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 185d2150-c75a-4db9-9081-0ac4aa0fffc2 · outbound
This paper cites 2016 , publisher=.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference 2016 , publisher=
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T14:58:32.520258Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1d4ce623-25d2-4c26-b28d-886bfc5eaeab · outbound
This paper cites Computer Vision--ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11--14, 2016, Proceedings, Part IV 14 , pages=.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Computer Vision--ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11--14, 2016, Proceedings, Part IV 14 , pages=
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T14:58:32.523886Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d402cc9e-6924-48d8-9f7c-268614322812 · outbound
This paper cites International Conference on Machine Learning , year=.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference International Conference on Machine Learning , year=
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T14:58:32.527701Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 27a38d1e-fb27-4d06-aa45-86c2f34827d4 · outbound
This paper cites Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , year=.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , year=
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T14:58:32.530801Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f56280d5-867e-4094-8128-348abe91a2a6 · outbound
This paper cites Advances in Neural Information Processing Systems , year=.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Advances in Neural Information Processing Systems , year=
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T14:58:32.534089Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c5973323-64d2-4a50-9985-f79741b4a740 · outbound
This paper cites OpenAI blog , year=.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference OpenAI blog , year=
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T14:58:32.537061Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3c1983c8-290a-4a6f-80c5-10ed6eea9450 · outbound
This paper cites GPT-4 Technical Report.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference GPT-4 Technical Report
Reference 58
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-15T14:58:32.344640Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 82166124-1841-4514-8bd9-a1f346978f1a · outbound
This paper cites Deepseek.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Deepseek
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T14:58:32.540566Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation cb085220-253d-4d0f-9c7f-a94f8ee1f1a9 · outbound
This paper cites LLaMA: Open and Efficient Foundation Language Models.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference LLaMA: Open and Efficient Foundation Language Models
Reference 60
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-15T14:58:32.375873Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 73df4974-5e08-46fb-bc36-d5f822fb6dbe · outbound
This paper cites Instruction Tuning with GPT-4.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Instruction Tuning with GPT-4
Reference 61
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-15T14:58:32.379830Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 38f1d31b-8b4f-45ca-a2cf-465ef4bdd60d · outbound
This paper cites Advances in Neural Information Processing Systems , year=.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Advances in Neural Information Processing Systems , year=
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T14:58:32.543823Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d9bc5d36-7143-40cb-95ea-5256385aa9a7 · outbound
This paper cites Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , year=.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , year=
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T14:58:32.547628Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation bd1f434b-ac0a-4523-83c1-3a224f41f5ed · outbound
This paper cites Advances in Neural Information Processing Systems , year=.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Advances in Neural Information Processing Systems , year=
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T14:58:32.552587Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f358fb2f-dda9-4cc7-86cc-12fe91e0de39 · outbound
This paper cites Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models
Reference 65
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T07:44:47.683285Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9a415b51-90f2-4a9c-a614-397ca336a455 · outbound
This paper cites Proceedings of the Annual Meeting of the Association for Computational Linguistics , year=.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Proceedings of the Annual Meeting of the Association for Computational Linguistics , year=
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T14:58:32.556362Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 392c2795-8ad4-402a-9ede-dffd78bbd27b · outbound
This paper cites International Conference on Learning Representations , year=.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference International Conference on Learning Representations , year=
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T14:58:32.559685Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3a6be316-e1a7-4ae3-b40e-c1f41febb8f5 · outbound
This paper cites Proceedings of the Conference on Empirical Methods in Natural Language Processing , year=.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Proceedings of the Conference on Empirical Methods in Natural Language Processing , year=
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T14:58:32.563762Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e06f6570-92e6-4b4b-88b7-f28a537fbc80 · outbound
This paper cites Qwen Technical Report.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Qwen Technical Report
Reference 69
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-15T14:58:32.384055Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a160a8a3-5b59-41a7-ad44-a867a787e175 · outbound
This paper cites Gemini: A Family of Highly Capable Multimodal Models.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Gemini: A Family of Highly Capable Multimodal Models
Reference 70
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-15T14:58:32.391559Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 360ab59c-956e-4d05-8d77-280c5bdab154 · outbound
This paper cites LLaVA-NeXT: Improved reasoning, OCR, and world knowledge , url=.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference LLaVA-NeXT: Improved reasoning, OCR, and world knowledge , url=
Reference 71
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T14:58:32.566826Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8dea3b02-ea03-421a-8155-ebd80b743fa2 · outbound
This paper cites Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , year=.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , year=
Reference 72
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T14:58:32.569559Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation da95dcf1-1602-4433-8d9e-d8128bcd57fa · outbound
This paper cites ShareGPT4V: Improving Large Multi-Modal Models with Better Captions.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference ShareGPT4V: Improving Large Multi-Modal Models with Better Captions
Reference 73
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-15T14:58:32.403358Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 724ddaa9-7e39-4b2a-adf6-984c04aa1b4f · outbound
This paper cites CogVLM: Visual Expert for Pretrained Language Models.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference CogVLM: Visual Expert for Pretrained Language Models
Reference 74
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T15:46:06.589810Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation cbee58ce-9561-45fb-8ed3-bd9709de813d · outbound
This paper cites an unresolved cited work.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Unresolved cited work
Reference 75
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T14:58:32.572136Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 824b2051-9475-457d-bb27-6fbce43df43d · outbound
This paper cites Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , year=.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , year=
Reference 76
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T14:58:32.575118Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation dca7e261-89ab-422a-802c-6b3872e4f7e1 · outbound
This paper cites mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality
Reference 77
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-15T14:58:32.359216Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation cc6fb78a-8f51-4d87-a3fd-bbabd8d802cd · outbound
This paper cites How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites
Reference 78
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-15T14:58:32.367631Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 25168446-00a5-41c8-a819-b503e95ef52e · outbound
This paper cites International Conference on Machine Learning , year=.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference International Conference on Machine Learning , year=
Reference 79
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T14:58:32.578134Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ed1294c9-16a7-4cdb-b083-74ffbc8090bc · outbound
This paper cites International conference on machine learning , year=.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference International conference on machine learning , year=
Reference 80
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T14:58:32.581052Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 65b3a6bd-ec2e-448a-84a5-253ae723cf52 · outbound
This paper cites International Conference on Machine Learning , year=.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference International Conference on Machine Learning , year=
Reference 81
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T14:58:32.583629Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 092dafaa-0a0c-4637-8314-1f7a742092b9 · outbound
This paper cites Advances in Neural Information Processing Systems , year=.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Advances in Neural Information Processing Systems , year=
Reference 82
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T14:58:32.586511Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 727270f8-54fb-486b-99bd-d1865ebaef68 · outbound
This paper cites Llava-prumerge: Adaptive token reduction for efficient large multimodal models.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Llava-prumerge: Adaptive token reduction for efficient large multimodal models
Reference 83
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T14:58:32.387959Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation af9b45bb-16e3-4637-92a1-c2a7ddcd15c2 · outbound
This paper cites an unresolved cited work.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Unresolved cited work
Reference 84
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T14:58:32.589099Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c9aefdaf-9374-44ea-ac70-d913f6aca89f · outbound
This paper cites an unresolved cited work.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Unresolved cited work
Reference 85
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T14:58:32.592158Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a4415560-5b8b-4497-8b74-8ea0dab43bd4 · outbound
This paper cites Instruct.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Instruct
Reference 86
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T14:58:32.595080Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 579f9052-de24-4511-85f3-737e6c5bd333 · outbound
This paper cites Advances in Neural Information Processing Systems , year=.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Advances in Neural Information Processing Systems , year=
Reference 87
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T14:58:32.598133Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c9388f0e-fb0a-42db-a212-7db617d249d8 · outbound
This paper cites Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , year=.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , year=
Reference 88
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T14:58:32.601739Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f6c79a3c-e83d-433f-9635-e69183b1a5a9 · outbound
This paper cites an unresolved cited work.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Unresolved cited work
Reference 89
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T14:58:32.604473Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 67fd3450-cbfa-43b7-af75-589f7ceba8e8 · outbound
This paper cites Proceedings of the European Conference on Computer Vision , year=.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Proceedings of the European Conference on Computer Vision , year=
Reference 90
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T14:58:32.608289Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2f5b6e13-0fb0-4797-a9b3-5570608c0b17 · outbound
This paper cites International Conference on Learning Representations , year=.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference International Conference on Learning Representations , year=
Reference 91
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T14:58:32.611928Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5bb5baf0-fa3a-4890-9701-37e117997244 · outbound
This paper cites an unresolved cited work.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Unresolved cited work
Reference 92
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T14:58:32.614793Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 895ebd9d-7261-4327-8059-dbe2325b8ad9 · outbound
This paper cites Proceedings of the European Conference on Computer Vision , year=.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Proceedings of the European Conference on Computer Vision , year=
Reference 93
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T14:58:32.618542Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 971c3880-3323-4c27-989e-90a383869f70 · outbound
This paper cites an unresolved cited work.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Unresolved cited work
Reference 94
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T14:58:32.622366Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 443542ba-84bf-4bca-b0ba-2782d17ca12b · outbound
This paper cites Proceedings of the Conference on Empirical Methods in Natural Language Processing , year=.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Proceedings of the Conference on Empirical Methods in Natural Language Processing , year=
Reference 95
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T14:58:32.626015Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b92328e1-e9ed-4a72-9a21-0705373d1543 · outbound
This paper cites an unresolved cited work.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Unresolved cited work
Reference 96
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T14:58:32.629510Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 23da06c3-f225-4ac8-8525-454173a2408f · outbound
This paper cites Proceedings of the IEEE conference on computer vision and pattern recognition , pages=.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Proceedings of the IEEE conference on computer vision and pattern recognition , pages=
Reference 97
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T14:58:32.633110Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c4dd97ed-1855-49f1-99ba-c2b2ee2db692 · outbound
This paper cites Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , year=.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , year=
Reference 98
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T14:58:32.636166Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ff772063-fda5-404e-9a10-ffd34664517d · outbound
This paper cites Advances in Neural Information Processing Systems , year=.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Advances in Neural Information Processing Systems , year=
Reference 99
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T14:58:32.639498Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 297c5267-576c-4530-b850-20752a3401d7 · outbound
This paper cites Journal of econometrics , year=.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Journal of econometrics , year=
Reference 100
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T14:58:32.643002Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 422cef44-6284-4bbe-93fa-ab0c24ddb7a6 · outbound
This paper cites Knowledge-Based Systems , volume=.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Knowledge-Based Systems , volume=
Reference 101
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T14:58:32.646219Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 27e989b9-fb16-4f46-937d-0c8a7a92436d · outbound
This paper cites Science , year=.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Science , year=
Reference 102
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T14:58:32.649741Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 580920e4-29cd-4e00-9ad2-2b577764e17e · outbound
This paper cites 2010 , publisher=.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference 2010 , publisher=
Reference 103
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 35c8eff8-72f2-4ac6-bb04-8381b3b7f6f7 · outbound
This paper cites Advances in Neural Information Processing Systems , volume=.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Advances in Neural Information Processing Systems , volume=
Reference 104
- Resolution
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- raw_fallback, observed 2026-05-15T14:58:32.656479Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation cddc2a3c-ddc3-4838-9aa0-49b43fdb7468 · outbound
This paper cites Efficient Visual Transformer by Learnable Token Merging.
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Efficient Visual Transformer by Learnable Token Merging
Reference 105
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Pith citing papers
Observation 713e1eb2-e512-46fc-a25b-15e954a44785 · inbound
PyramidDrop: Accelerating Your Large Vision-Language Models via Pyramid Visual Redundancy Reduction cites this paper.
PyramidDrop: Accelerating Your Large Vision-Language Models via Pyramid Visual Redundancy Reduction SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 54
- Resolution
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- arxiv_id, observed 2026-05-15T14:58:32.742607Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 412b627f-29b0-4e73-a2d6-7fb859981462 · inbound
Growing a Multi-head Twig via Distillation and Reinforcement Learning to Accelerate Large Vision-Language Models cites this paper.
Growing a Multi-head Twig via Distillation and Reinforcement Learning to Accelerate Large Vision-Language Models SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 65
- Resolution
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- local_arxiv, observed 2026-05-23T00:02:17.816265Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f5730463-af67-46f2-9b2d-3ce57c9be9e1 · inbound
Source Component Shift Adaptation via Offline Decomposition and Online Mixing Approach cites this paper.
Source Component Shift Adaptation via Offline Decomposition and Online Mixing Approach SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 70
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 73899475-a3f9-4248-aae6-fe606603b262 · inbound
Leveraging OS-Level Primitives for Robotic Action Management cites this paper.
Leveraging OS-Level Primitives for Robotic Action Management SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 76
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d3ffd459-c0a8-4ae1-9314-4b28c2d20b69 · inbound
Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge cites this paper.
Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 31
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e97e06fd-23d2-496c-8b08-07dde644d45a · inbound
A Comprehensive Study on Visual Token Redundancy for Discrete Diffusion-based Multimodal Large Language Models cites this paper.
A Comprehensive Study on Visual Token Redundancy for Discrete Diffusion-based Multimodal Large Language Models SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 65
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6a3ef22d-aed3-4c3e-a224-a53f6ea7211e · inbound
Bridging the Semantic-Action Gap in Visual Token Pruning for Efficient VLA Inference cites this paper.
Bridging the Semantic-Action Gap in Visual Token Pruning for Efficient VLA Inference SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 60
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 61e242bf-540c-4220-82f1-071e7282745e · inbound
AVA-VLA: Improving Vision-Language-Action models with Active Visual Attention cites this paper.
AVA-VLA: Improving Vision-Language-Action models with Active Visual Attention SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 54
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T06:29:09.984286Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 65c3f1c3-6151-4691-ade4-43c804cb5f76 · inbound
AIA: Rethinking Architecture Decoupling Strategy In Unified Multimodal Model cites this paper.
AIA: Rethinking Architecture Decoupling Strategy In Unified Multimodal Model SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 51
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T04:19:00.623483Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b2a4a894-25fc-4cd2-aa43-f872688b19bc · inbound
EchoingPixels: Aliasing-Resistant Joint Token Reduction for Audio-Visual LLMs cites this paper.
EchoingPixels: Aliasing-Resistant Joint Token Reduction for Audio-Visual LLMs SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 65
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 04b546e9-49f7-49cd-81bc-2c5d19cb03eb · inbound
Selective LoRA for Visual Tokens and Attention Heads cites this paper.
Selective LoRA for Visual Tokens and Attention Heads SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 30
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T20:18:23.671109Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5cf2c86d-e2b8-450e-8eed-a61145211edf · inbound
LinMU: Multimodal Understanding Made Linear cites this paper.
LinMU: Multimodal Understanding Made Linear SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T18:33:15.158927Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6d510b01-19d4-4d2f-8829-9cf4b29286e2 · inbound
Token Reduction via Local and Global Contexts Optimization for Efficient Video Large Language Models cites this paper.
Token Reduction via Local and Global Contexts Optimization for Efficient Video Large Language Models SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 78
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T18:26:27.029877Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 086f0fae-5e5d-4141-b654-1a80b552f07c · inbound
ForestPrune: High-ratio Visual Token Compression for Video Multimodal Large Language Models via Spatial-Temporal Forest Modeling cites this paper.
ForestPrune: High-ratio Visual Token Compression for Video Multimodal Large Language Models via Spatial-Temporal Forest Modeling SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 64
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T14:58:32.742607Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation af3f1071-10f5-430e-8db7-95601dffa92a · inbound
Towards Efficient Large Vision-Language Models: A Comprehensive Survey on Inference Strategies cites this paper.
Towards Efficient Large Vision-Language Models: A Comprehensive Survey on Inference Strategies SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 77
- Resolution
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- arxiv_id, observed 2026-05-15T14:58:32.742607Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 735cf995-5c67-4147-b990-2d8d30107ffb · inbound
DINO-VO: Learning Where to Focus for Enhanced State Estimation cites this paper.
DINO-VO: Learning Where to Focus for Enhanced State Estimation SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 68
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T14:58:32.742607Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation dd444398-ac9c-420d-b0e3-919fc72a05d0 · inbound
Do Vision Language Models Need to Process Image Tokens? cites this paper.
Do Vision Language Models Need to Process Image Tokens? SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T14:58:32.742607Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a1fb4d6a-f906-41c9-87a0-b760b9169ac0 · inbound
Semantic-Geometric Dual Compression: Training-Free Visual Token Reduction for Ultra-High-Resolution Remote Sensing Understanding cites this paper.
Semantic-Geometric Dual Compression: Training-Free Visual Token Reduction for Ultra-High-Resolution Remote Sensing Understanding SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 59
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T14:58:32.742607Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 320c0715-28f5-4777-9509-f4ee8fa70cc1 · inbound
Decoupled Similarity for Task-Aware Token Pruning in Large Vision-Language Models cites this paper.
Decoupled Similarity for Task-Aware Token Pruning in Large Vision-Language Models SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T14:58:32.742607Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation bc3789bb-c4a6-4641-b63b-6f2628f92e74 · inbound
POINTS-Long: Adaptive Dual-Mode Visual Reasoning in MLLMs cites this paper.
POINTS-Long: Adaptive Dual-Mode Visual Reasoning in MLLMs SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 116
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T14:58:32.742607Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 134db799-d7df-4f55-8a5f-579f23486f11 · inbound
Why and When Visual Token Pruning Fails? A Study on Relevant Visual Information Shift in MLLMs Decoding cites this paper.
Why and When Visual Token Pruning Fails? A Study on Relevant Visual Information Shift in MLLMs Decoding SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 53
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T14:58:32.742607Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f837c46d-02e0-434c-9567-753c4fcfbe8d · inbound
VisPCO: Visual Token Pruning Configuration Optimization via Budget-Aware Pareto-Frontier Learning for Vision-Language Models cites this paper.
VisPCO: Visual Token Pruning Configuration Optimization via Budget-Aware Pareto-Frontier Learning for Vision-Language Models SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T14:58:32.742607Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 754973df-c953-4670-8a06-12fe6d8d8439 · inbound
Geometry-Guided 3D Visual Token Pruning for Video-Language Models cites this paper.
Geometry-Guided 3D Visual Token Pruning for Video-Language Models SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T14:58:32.742607Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e7ef7a39-2192-43b5-9fb8-8c64b9d114ec · inbound
Characterizing Vision-Language-Action Models across XPUs: Constraints and Acceleration for On-Robot Deployment cites this paper.
Characterizing Vision-Language-Action Models across XPUs: Constraints and Acceleration for On-Robot Deployment SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T14:58:32.742607Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d4e97c48-e2d8-48f7-8b7b-5bf39c6e6403 · inbound
RTPrune: Reading-Twice Inspired Token Pruning for Efficient DeepSeek-OCR Inference cites this paper.
RTPrune: Reading-Twice Inspired Token Pruning for Efficient DeepSeek-OCR Inference SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 3
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9697ceca-8532-4cdb-8746-e0026decc93b · inbound
VLMaxxing through FrameMogging Training-Free Anti-Recomputation for Video Vision-Language Models cites this paper.
VLMaxxing through FrameMogging Training-Free Anti-Recomputation for Video Vision-Language Models SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 31
- Resolution
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- arxiv_id, observed 2026-05-15T14:58:32.742607Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3ac9958a-fddc-4ea2-9fe8-a387932cee44 · inbound
Pro$^2$Assist: Continuous Step-aware Proactive Assistance with Multi-modal Egocentric Perception for Long-horizon Procedural Tasks cites this paper.
Pro$^2$Assist: Continuous Step-aware Proactive Assistance with Multi-modal Egocentric Perception for Long-horizon Procedural Tasks SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 86
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T14:58:32.742607Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4ad340de-855a-4f43-aa49-0b316c4f93ba · inbound
Pro$^2$Assist: Continuous Step-aware Proactive Assistance with Multi-modal Egocentric Perception for Long-horizon Procedural Tasks cites this paper.
Pro$^2$Assist: Continuous Step-aware Proactive Assistance with Multi-modal Egocentric Perception for Long-horizon Procedural Tasks SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 78
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1084ac3a-e8bf-44b0-a80e-b48a1701b455 · inbound
VideoRouter: Query-Adaptive Dual Routing for Efficient Long-Video Understanding cites this paper.
VideoRouter: Query-Adaptive Dual Routing for Efficient Long-Video Understanding SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T14:58:32.742607Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 57c41584-e60e-4225-aeee-465649f1db51 · inbound
VideoRouter: Query-Adaptive Dual Routing for Efficient Long-Video Understanding cites this paper.
VideoRouter: Query-Adaptive Dual Routing for Efficient Long-Video Understanding SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T14:58:32.742607Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 334343cb-bb53-4a99-99d3-68afa25870c6 · inbound
LLaVA-UHD v4: What Makes Efficient Visual Encoding in MLLMs? cites this paper.
LLaVA-UHD v4: What Makes Efficient Visual Encoding in MLLMs? SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 53
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T14:58:32.742607Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 14a8b709-b2b2-40bd-a491-717c9768bcae · inbound
Make Each Token Count: Towards Improving Long-Context Performance with KV Cache Eviction cites this paper.
Make Each Token Count: Towards Improving Long-Context Performance with KV Cache Eviction SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T14:58:32.742607Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d24a6c1c-2161-45ac-a059-0ae1af1dccff · inbound
AttenA+: Rectifying Action Inequality in Robotic Foundation Models cites this paper.
AttenA+: Rectifying Action Inequality in Robotic Foundation Models SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T14:58:32.742607Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3893fcc5-32df-4f4f-8ed2-997afa4ca99f · inbound
AttenA+: Rectifying Action Inequality in Robotic Foundation Models cites this paper.
AttenA+: Rectifying Action Inequality in Robotic Foundation Models SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 27
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T21:45:05.706588Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c78ba4e1-e20f-44b1-8ce3-30f301c0c87d · inbound
LRCP: Low-Rank Compressibility Guided Visual Token Pruning for Efficient LVLMs cites this paper.
LRCP: Low-Rank Compressibility Guided Visual Token Pruning for Efficient LVLMs SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T19:08:54.511241Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ac6f9ec6-0c85-4544-bbca-76559b1fc031 · inbound
Rotation-Aligned Key Channel Pruning for Efficient Vision-Language Model Inference cites this paper.
Rotation-Aligned Key Channel Pruning for Efficient Vision-Language Model Inference SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 35
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T07:43:23.787783Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 266c9dd0-45cd-4d21-958f-87e6bdc2d019 · inbound
DynaTok: Temporally Adaptive and Positional Bias-Aware Token Compression for Video-LLMs cites this paper.
DynaTok: Temporally Adaptive and Positional Bias-Aware Token Compression for Video-LLMs SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 34
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T06:58:05.980263Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6b45e725-3b0f-45c1-9897-3a46cd7eaad8 · inbound
Focus-then-Context: Subject-Centric Progressive Visual Token Reduction for Vision-Language Models cites this paper.
Focus-then-Context: Subject-Centric Progressive Visual Token Reduction for Vision-Language Models SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 5
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-21T05:23:58.599149Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation bfd0ed5f-dd96-457d-bf19-e09a8301c35f · inbound
ASAP: Attention Sink Anchored Pruning cites this paper.
ASAP: Attention Sink Anchored Pruning SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T08:14:45.587099Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ba0f3934-791d-4b2f-8526-3ec3a0a4f16e · inbound
Palette: A Modular, Controllable, and Efficient Framework for On-demand Authorized Safety Alignment Relaxation in LLMs cites this paper.
Palette: A Modular, Controllable, and Efficient Framework for On-demand Authorized Safety Alignment Relaxation in LLMs SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 69
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T16:04:52.633378Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 776a3956-fbb5-403c-b2de-79f7e62b6484 · inbound
Toward Native Multimodal Modeling: A Roadmap cites this paper.
Toward Native Multimodal Modeling: A Roadmap SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 203
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T23:04:01.697865Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7826f094-5a2a-4f23-a81e-3986287b16e0 · inbound
AsymVLM: Asymmetric Token Pruning for Efficient Vision-Language Model Inference cites this paper.
AsymVLM: Asymmetric Token Pruning for Efficient Vision-Language Model Inference SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T08:53:15.983445Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b63ea36c-b162-49fd-890f-cdc457fa99c5 · inbound
SAFE-Pruner: Semantic Attention-Guided Future-Aware Token Pruning for Efficient Vision-Language-Action Manipulation cites this paper.
SAFE-Pruner: Semantic Attention-Guided Future-Aware Token Pruning for Efficient Vision-Language-Action Manipulation SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 49
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-29T08:43:14.963744Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 10bbd4fd-3501-4b67-ab9c-d96639cccf2d · inbound
SAFE-Pruner: Semantic Attention-Guided Future-Aware Token Pruning for Efficient Vision-Language-Action Manipulation cites this paper.
SAFE-Pruner: Semantic Attention-Guided Future-Aware Token Pruning for Efficient Vision-Language-Action Manipulation SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T12:54:43.337210Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f2657672-9bc6-45fe-b72b-356543277b0f · inbound
Differentiable Efficient Operator Search cites this paper.
Differentiable Efficient Operator Search SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 32
- Resolution
- malformed identifier
- local_arxiv, observed 2026-07-02T06:06:41.789534Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 328daec8-ed63-4a77-b572-2251d15884ec · 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 SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 85
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T11:28:04.130474Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6774e7e9-bbe3-41a6-ae2a-da04a729711b · inbound
ViCoStream: Streaming VideoLLMs Can Run Beyond 100 FPS with Stage-Wise Coordinated Inference cites this paper.
ViCoStream: Streaming VideoLLMs Can Run Beyond 100 FPS with Stage-Wise Coordinated Inference SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 31
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-04T03:19:29.929448Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation af33357b-3b81-403b-b59b-c9fa619735b7 · inbound
TOPS: First-Principles Visual Token Pruning via Constructing Token Optimal Preservation Sets for Efficient MLLM Inference cites this paper.
TOPS: First-Principles Visual Token Pruning via Constructing Token Optimal Preservation Sets for Efficient MLLM Inference SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 50
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-04T14:09:53.801383Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9b66dbaa-2730-4f61-bf2a-4af54dbdbe83 · inbound
MVPruner: Dynamic Token Pruning for Accelerating Multi-view Vision-Language Models in Autonomous Driving cites this paper.
MVPruner: Dynamic Token Pruning for Accelerating Multi-view Vision-Language Models in Autonomous Driving SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 35
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-29T18:23:51.150255Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ef58a4c4-f0bc-40ca-8c83-d40a021c1849 · inbound
MVPruner: Dynamic Token Pruning for Accelerating Multi-view Vision-Language Models in Autonomous Driving cites this paper.
MVPruner: Dynamic Token Pruning for Accelerating Multi-view Vision-Language Models in Autonomous Driving SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 36
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T21:37:24.219111Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 728ac82e-1ddb-43be-a05f-01f81d20643b · inbound
MS-Resampler: Multi-Scope Visual Resampling for Efficient Multimodal LLMs cites this paper.
MS-Resampler: Multi-Scope Visual Resampling for Efficient Multimodal LLMs SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 37
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T10:15:44.599724Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e141fd5b-5c54-4ece-bf48-58ff3d61c78c · inbound
Token-Sparse Medical Multimodal Reasoning via Dual-Stream Reinforcement Learning cites this paper.
Token-Sparse Medical Multimodal Reasoning via Dual-Stream Reinforcement Learning SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 27
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T10:15:45.204019Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 393c4af5-5d93-4b98-8030-a697617cb543 · inbound
Combating Textual Noise and Redundancy: Entropy-Aware Dense Visual Token Pruning cites this paper.
Combating Textual Noise and Redundancy: Entropy-Aware Dense Visual Token Pruning SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 73
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-03T14:48:32.367832Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 18157f53-17f8-435c-8620-248a523d780a · inbound
SeeMe: Mitigating Hallucinations in Large Vision-Language Models through Effective Visual Token Engineering cites this paper.
SeeMe: Mitigating Hallucinations in Large Vision-Language Models through Effective Visual Token Engineering SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T21:15:25.010442Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f908bd59-8cb1-41b8-b779-8b2e0a937fef · inbound
AVA-VLM: Adaptive Visual Attention-Vision Language Model for In-the-Wild Construction Site Monitoring cites this paper.
AVA-VLM: Adaptive Visual Attention-Vision Language Model for In-the-Wild Construction Site Monitoring SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 49
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T22:35:40.598163Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f7f7c72c-5c6a-4234-a012-70093eb9f5d6 · inbound
AnchorPrune: Relevance-Anchored Contextual Expansion for Visual Token Pruning cites this paper.
AnchorPrune: Relevance-Anchored Contextual Expansion for Visual Token Pruning SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 29
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-09T21:36:34.339662Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b1469d2f-cd50-4194-8faa-eb3157bf131a · inbound
AnchorPrune: Relevance-Anchored Contextual Expansion for Visual Token Pruning cites this paper.
AnchorPrune: Relevance-Anchored Contextual Expansion for Visual Token Pruning SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T15:54:18.404613Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 483171d1-7c26-4052-b98e-86a3922af1af · inbound
AnchorPrune: Relevance-Anchored Contextual Expansion for Visual Token Pruning cites this paper.
AnchorPrune: Relevance-Anchored Contextual Expansion for Visual Token Pruning SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T08:12:31.386718Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 96b53720-c364-4532-aaf9-35cc61dc0c44 · inbound
Spectral Heat Flow for Conservative Token Condensation in Vision-Language Models cites this paper.
Spectral Heat Flow for Conservative Token Condensation in Vision-Language Models SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T10:17:43.230980Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3f50efab-5fd9-46a0-8cee-eeeba7b76617 · inbound
Spectral Heat Flow for Conservative Token Condensation in Vision-Language Models cites this paper.
Spectral Heat Flow for Conservative Token Condensation in Vision-Language Models SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T07:15:25.071270Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c428b69e-f27f-497b-8076-78de25232b7b · inbound
Seeing the End at Step Zero: Accelerating Diffusion MLLMs via MLP Sparsity-Aware Truncation cites this paper.
Seeing the End at Step Zero: Accelerating Diffusion MLLMs via MLP Sparsity-Aware Truncation SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:48:57.761577Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f31faea6-6422-447e-ae2f-ab364101c218 · inbound
Searching for Task-Specific Vision Paths: Evolutionary Block Pruning Across Vision-Language Models cites this paper.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T19:13:28.370100Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bdc79aab-85ee-45c5-9f0b-ac6b65b5dca2 · inbound
Visual Token Compression Enhances Robustness of MLLMs cites this paper.
Visual Token Compression Enhances Robustness of MLLMs SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 91
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T13:10:37.711024Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 647515c7-7869-4297-9099-aa17db97fb8b · inbound
OmniScope: Modality-Decoupled Token Compression for Omnimodal Large Language Models cites this paper.
OmniScope: Modality-Decoupled Token Compression for Omnimodal Large Language Models SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T03:25:31.650756Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dd4ec0f3-2ddf-4830-b903-7a0a7a708e1a · inbound
OmniScope: Modality-Decoupled Token Compression for Omnimodal Large Language Models cites this paper.
OmniScope: Modality-Decoupled Token Compression for Omnimodal Large Language Models SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T04:02:54.522646Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3814d9e8-3e61-434a-a671-c35ad689f654 · inbound
UltraViT: Latency-Optimized On-device Vision Encoder for Large Vision-Language Models cites this paper.
UltraViT: Latency-Optimized On-device Vision Encoder for Large Vision-Language Models SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 68
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T00:01:39.654463Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e305149a-9e40-4727-a2fa-94e72f60e8c1 · inbound
OmniDelta: Skill-Driven Budget Allocation for Token Compression in OmniLLMs cites this paper.
OmniDelta: Skill-Driven Budget Allocation for Token Compression in OmniLLMs SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 1057
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T01:54:22.000078Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f836949a-bf70-4340-a192-55de70e61a77 · inbound
SepPrune:A Separator-based Pruning Framework for Efficient Multimodal Large Language Models cites this paper.
SepPrune:A Separator-based Pruning Framework for Efficient Multimodal Large Language Models SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T01:26:50.499048Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b76c417c-7df6-4cef-976a-4adddbfb8e78 · inbound
MedARC: Training-Free Adaptive Redundancy Compression of Visual Tokens for 3D Medical Vision-Language Models cites this paper.
MedARC: Training-Free Adaptive Redundancy Compression of Visual Tokens for 3D Medical Vision-Language Models SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T13:31:50.031383Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a85a632c-e75e-472f-bcc1-42eb7aecc286 · inbound
LAST: The Last Query Token Guides Visual Token Pruning for Edge-Cloud Collaborative MLLM Inference cites this paper.
LAST: The Last Query Token Guides Visual Token Pruning for Edge-Cloud Collaborative MLLM Inference SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T22:24:19.216556Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a7fe473c-2c51-41f6-9fe4-6c91d74d1e75 · inbound
CRAFT: Compression via Recursive Adaptive Fusion of Video Tokens for Vision-Language Models cites this paper.
CRAFT: Compression via Recursive Adaptive Fusion of Video Tokens for Vision-Language Models SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T23:46:51.635563Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9fce38af-f563-4acc-9a48-9305c6f2779f · inbound
PhyCheck: Fine-Grained Evidence-Grounded Dataset for Physical Law Understanding in Video-LLMs cites this paper.
PhyCheck: Fine-Grained Evidence-Grounded Dataset for Physical Law Understanding in Video-LLMs SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 126
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T13:44:00.303154Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4a8e9594-1b6f-4d93-94d8-584de078c6d5 · inbound
When Do Fewer Visual Tokens Accelerate Multimodal Inference? A Break-Even Study Across Decision Locations and Hardware cites this paper.
When Do Fewer Visual Tokens Accelerate Multimodal Inference? A Break-Even Study Across Decision Locations and Hardware SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:19:02.848690Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.