Paper Citation Record · LEDGER

AKVQ-VL: Attention-Aware KV Cache Adaptive 2-Bit Quantization for Vision-Language Models

As of 20 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 4 inbound Pith citation observations for arXiv:2501.15021.

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

pith.paper-citation-record.v1
2501.15021 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:46:02.691635Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T14:35:10.578399Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T19:58:59.018078Z

Reference resolution

32 of 32 outbound references displayed

verified exact0
verified fuzzy7
unresolved25
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2907b0fc-0182-4702-b433-c119f298753e · outbound

This paper cites A survey on deep multimodal learning for computer vision: advances, trends, applications, and datasets,.

AKVQ-VL: Attention-Aware KV Cache Adaptive 2-Bit Quantization for Vision-Language Models A survey on deep multimodal learning for computer vision: advances, trends, applications, and datasets,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:46:03.010577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation aa69e52e-4501-4857-a2d6-2ed43cc9a2b7 · outbound

This paper cites Multimodal intelligence: Representation learning, information fusion, and applica- tions,.

AKVQ-VL: Attention-Aware KV Cache Adaptive 2-Bit Quantization for Vision-Language Models Multimodal intelligence: Representation learning, information fusion, and applica- tions,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:46:02.999843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f5a8b587-f08c-47c2-bf1e-b4f8f583f375 · outbound

This paper cites A Survey on Multimodal Large Language Models.

AKVQ-VL: Attention-Aware KV Cache Adaptive 2-Bit Quantization for Vision-Language Models A Survey on Multimodal Large Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T14:46:02.599980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36c7e950-bdf8-4211-860b-43f7ecd34277 · outbound

This paper cites Vision- language models for vision tasks: A survey,.

AKVQ-VL: Attention-Aware KV Cache Adaptive 2-Bit Quantization for Vision-Language Models Vision- language models for vision tasks: A survey,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:46:02.989364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e5535967-32e9-4051-8d77-8d402f89e2af · outbound

This paper cites RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control.

AKVQ-VL: Attention-Aware KV Cache Adaptive 2-Bit Quantization for Vision-Language Models RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T14:46:02.607231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34a4dc67-f6ff-43a0-9299-eaaa39fe5e07 · outbound

This paper cites Attention is all you need,.

AKVQ-VL: Attention-Aware KV Cache Adaptive 2-Bit Quantization for Vision-Language Models Attention is all you need,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T14:46:02.610987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a579d485-6400-495b-bae2-795a7872a962 · outbound

This paper cites KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache.

AKVQ-VL: Attention-Aware KV Cache Adaptive 2-Bit Quantization for Vision-Language Models KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T14:46:02.614371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7365c393-920c-4980-8ba4-da75b8ee00b6 · outbound

This paper cites ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification.

AKVQ-VL: Attention-Aware KV Cache Adaptive 2-Bit Quantization for Vision-Language Models ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T14:46:02.617582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 313df24d-61b0-4af9-bc3a-58f2b96edaef · outbound

This paper cites SKVQ: Sliding-window Key and Value Cache Quantization for Large Language Models.

AKVQ-VL: Attention-Aware KV Cache Adaptive 2-Bit Quantization for Vision-Language Models SKVQ: Sliding-window Key and Value Cache Quantization for Large Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T14:46:02.620758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc4dbbfe-97da-4ac6-ace5-5beb16544490 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

AKVQ-VL: Attention-Aware KV Cache Adaptive 2-Bit Quantization for Vision-Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T14:46:02.623746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 941b6830-364a-4660-bf14-9df404ed0d77 · outbound

This paper cites Visual instruction tuning,.

AKVQ-VL: Attention-Aware KV Cache Adaptive 2-Bit Quantization for Vision-Language Models Visual instruction tuning,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:46:02.973827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 422ee90a-9303-45ac-9d62-6c3b679dc066 · outbound

This paper cites IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact.

AKVQ-VL: Attention-Aware KV Cache Adaptive 2-Bit Quantization for Vision-Language Models IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T14:46:02.630189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8ef2a7d-6b2a-4539-a203-bfa076ed1026 · outbound

This paper cites Efficient Streaming Language Models with Attention Sinks.

AKVQ-VL: Attention-Aware KV Cache Adaptive 2-Bit Quantization for Vision-Language Models Efficient Streaming Language Models with Attention Sinks

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T14:46:02.633146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e98dbfdb-7b16-4efd-8aca-1176e80b66db · outbound

This paper cites KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization.

AKVQ-VL: Attention-Aware KV Cache Adaptive 2-Bit Quantization for Vision-Language Models KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T14:46:02.636154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44d2c809-e1f0-4945-88ee-dfa0debcab89 · outbound

This paper cites QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs.

AKVQ-VL: Attention-Aware KV Cache Adaptive 2-Bit Quantization for Vision-Language Models QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T14:46:02.639513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aff4718b-c0a3-4b33-bcaf-1f30955985b8 · outbound

This paper cites QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks.

AKVQ-VL: Attention-Aware KV Cache Adaptive 2-Bit Quantization for Vision-Language Models QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T14:46:02.642735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d01b6e7-0e06-4a96-9212-907b78e2c062 · outbound

This paper cites Flashattention: Fast and memory-efficient exact attention with io- awareness,.

AKVQ-VL: Attention-Aware KV Cache Adaptive 2-Bit Quantization for Vision-Language Models Flashattention: Fast and memory-efficient exact attention with io- awareness,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:46:02.964505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1683751b-9abd-411c-ac42-b2a68008c86d · outbound

This paper cites Pointer Sentinel Mixture Models.

AKVQ-VL: Attention-Aware KV Cache Adaptive 2-Bit Quantization for Vision-Language Models Pointer Sentinel Mixture Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T14:46:02.649835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e23be23a-fca7-4ccf-9384-7ed714e1cc6e · outbound

This paper cites Microsoft COCO Captions: Data Collection and Evaluation Server.

AKVQ-VL: Attention-Aware KV Cache Adaptive 2-Bit Quantization for Vision-Language Models Microsoft COCO Captions: Data Collection and Evaluation Server

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T14:46:02.653368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80883f06-b8de-4bdc-b98e-2f219fa9b5f7 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

AKVQ-VL: Attention-Aware KV Cache Adaptive 2-Bit Quantization for Vision-Language Models Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T14:46:02.656855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e8d4ff5-4a2e-47c9-96c1-6650b7141b24 · outbound

This paper cites Improved baselines with visual instruction tuning,.

AKVQ-VL: Attention-Aware KV Cache Adaptive 2-Bit Quantization for Vision-Language Models Improved baselines with visual instruction tuning,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T14:46:02.659900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73b22388-3389-48dc-a8ef-d364a7654621 · outbound

This paper cites LOOK-M: Look-Once Optimization in KV Cache for Efficient Multimodal Long-Context Inference.

AKVQ-VL: Attention-Aware KV Cache Adaptive 2-Bit Quantization for Vision-Language Models LOOK-M: Look-Once Optimization in KV Cache for Efficient Multimodal Long-Context Inference

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T14:46:02.662595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcbb5214-0551-4032-bdb9-eb7d2ad6792c · outbound

This paper cites No Token Left Behind: Reliable KV Cache Compression via Importance-Aware Mixed Precision Quantization.

AKVQ-VL: Attention-Aware KV Cache Adaptive 2-Bit Quantization for Vision-Language Models No Token Left Behind: Reliable KV Cache Compression via Importance-Aware Mixed Precision Quantization

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T14:46:02.665566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 036eb6bc-19f3-4c1e-879b-2877d18b95b1 · outbound

This paper cites Massive Activations in Large Language Models.

AKVQ-VL: Attention-Aware KV Cache Adaptive 2-Bit Quantization for Vision-Language Models Massive Activations in Large Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T14:46:02.668507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2cff7cdb-d691-4be8-b6e2-7f2fcb76685b · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

AKVQ-VL: Attention-Aware KV Cache Adaptive 2-Bit Quantization for Vision-Language Models An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T14:46:02.671624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f04b087-f4aa-4ad4-8392-fd41af31a49a · outbound

This paper cites ZipVL: Efficient Large Vision-Language Models with Dynamic Token Sparsification.

AKVQ-VL: Attention-Aware KV Cache Adaptive 2-Bit Quantization for Vision-Language Models ZipVL: Efficient Large Vision-Language Models with Dynamic Token Sparsification

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T14:46:02.674659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7d14ab3-8f70-4bdb-92cb-756da1020f2f · outbound

This paper cites SpinQuant: LLM quantization with learned rotations.

AKVQ-VL: Attention-Aware KV Cache Adaptive 2-Bit Quantization for Vision-Language Models SpinQuant: LLM quantization with learned rotations

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T14:46:02.677581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61d6b4fe-7c93-47bc-85c8-1258a6985e36 · outbound

This paper cites Roformer: Enhanced transformer with rotary position embedding,.

AKVQ-VL: Attention-Aware KV Cache Adaptive 2-Bit Quantization for Vision-Language Models Roformer: Enhanced transformer with rotary position embedding,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T14:46:02.680490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 573fe177-decd-4d7f-a325-eeef130edf6f · outbound

This paper cites Unified matrix treatment of the fast walsh-hadamard transform,.

AKVQ-VL: Attention-Aware KV Cache Adaptive 2-Bit Quantization for Vision-Language Models Unified matrix treatment of the fast walsh-hadamard transform,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:46:02.942757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0fa639e4-067c-4126-9e24-8803931dd96e · outbound

This paper cites Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks,.

AKVQ-VL: Attention-Aware KV Cache Adaptive 2-Bit Quantization for Vision-Language Models Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T14:46:02.686037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e23df800-0085-451a-ba68-199ae662ff8b · outbound

This paper cites MileBench: Benchmarking MLLMs in Long Context.

AKVQ-VL: Attention-Aware KV Cache Adaptive 2-Bit Quantization for Vision-Language Models MileBench: Benchmarking MLLMs in Long Context

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T14:46:02.688706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aaab400c-d280-497f-830b-38469e01e32d · outbound

This paper cites SmoothQuant: Accurate and efficient post-training quantization for large language models,.

AKVQ-VL: Attention-Aware KV Cache Adaptive 2-Bit Quantization for Vision-Language Models SmoothQuant: Accurate and efficient post-training quantization for large language models,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:46:02.927106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

Observation 6a3f4b03-3f62-4b49-a654-dd4d3dab1e07 · inbound

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity cites this paper.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity AKVQ-VL: Attention-Aware KV Cache Adaptive 2-Bit Quantization for Vision-Language Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-09T14:35:10.578399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75706047-98c0-465f-8482-4571787ff875 · inbound

SnapMLA: Efficient Long-Context MLA Decoding via Hardware-Aware FP8 Quantized Pipelining cites this paper.

SnapMLA: Efficient Long-Context MLA Decoding via Hardware-Aware FP8 Quantized Pipelining AKVQ-VL: Attention-Aware KV Cache Adaptive 2-Bit Quantization for Vision-Language Models

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:00:40.761408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 66c56521-712f-4369-a62d-1b327c02f325 · inbound

WindowQuant: Mixed-Precision KV Cache Quantization based on Window-Level Similarity for VLMs Inference Optimization cites this paper.

WindowQuant: Mixed-Precision KV Cache Quantization based on Window-Level Similarity for VLMs Inference Optimization AKVQ-VL: Attention-Aware KV Cache Adaptive 2-Bit Quantization for Vision-Language Models

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:36:08.018815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 349a6c55-f8c7-4b09-9350-1f1978497543 · inbound

KVCapsule: Efficient Sequential KV Cache Compression for Vision-Language Models with Asymmetric Redundancy cites this paper.

KVCapsule: Efficient Sequential KV Cache Compression for Vision-Language Models with Asymmetric Redundancy AKVQ-VL: Attention-Aware KV Cache Adaptive 2-Bit Quantization for Vision-Language Models

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-20T19:58:59.023556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.