KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization | Paper Citation Record

Observation 49358396-5a24-42bf-a26e-8110a97c2a08 · inbound

ASVD: Activation-aware Singular Value Decomposition for Compressing Large Language Models cites this paper.

ASVD: Activation-aware Singular Value Decomposition for Compressing Large Language Models KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 10

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SGLang: Efficient Execution of Structured Language Model Programs cites this paper.

SGLang: Efficient Execution of Structured Language Model Programs KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 15

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

KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 7

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A Survey on Efficient Inference for Large Language Models cites this paper.

A Survey on Efficient Inference for Large Language Models KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 219

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DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model cites this paper.

DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:36:26.480168Z

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Observation b8ca3e16-9a01-4171-917a-ef22f8c98e96 · inbound

FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision cites this paper.

FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 26

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Observation e31e43a2-f16c-464b-a096-57ffd31fb592 · inbound

Anda: Unlocking Efficient LLM Inference with a Variable-Length Grouped Activation Data Format cites this paper.

Anda: Unlocking Efficient LLM Inference with a Variable-Length Grouped Activation Data Format KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 29

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Observation 6070763a-9f62-4b58-96cd-0a12f6c51a35 · inbound

CLOVER: Cross-Layer Orthogonal Vectors Pruning and Fine-Tuning cites this paper.

CLOVER: Cross-Layer Orthogonal Vectors Pruning and Fine-Tuning KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 2021

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APEX: An Extensible and Dynamism-Aware Simulator for Automated Parallel Execution in LLM Serving cites this paper.

APEX: An Extensible and Dynamism-Aware Simulator for Automated Parallel Execution in LLM Serving KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 16

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Observation 4cf2ff58-02f5-4c4c-91b4-2c10cc73130d · inbound

MiniKV: Pushing the Limits of LLM Inference via 2-Bit Layer-Discriminative KV Cache cites this paper.

MiniKV: Pushing the Limits of LLM Inference via 2-Bit Layer-Discriminative KV Cache KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 9

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Observation 9b52e2c3-d4b1-4afa-9cdf-4999171ba5d8 · inbound

Scaling New Frontiers: Insights into Large Recommendation Models cites this paper.

Scaling New Frontiers: Insights into Large Recommendation Models KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 32

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Observation c18c02e2-eb94-4759-aa0c-59bbb2876a97 · inbound

DiffKV: Differentiated Memory Management for Large Language Models with Parallel KV Compaction cites this paper.

DiffKV: Differentiated Memory Management for Large Language Models with Parallel KV Compaction KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 32

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XKV: Personalized KV Cache Memory Reduction for Long-Context LLM Inference cites this paper.

XKV: Personalized KV Cache Memory Reduction for Long-Context LLM Inference KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 29

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Lexico: Extreme KV Cache Compression via Sparse Coding over Universal Dictionaries cites this paper.

Lexico: Extreme KV Cache Compression via Sparse Coding over Universal Dictionaries KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 9

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Observation c0a4b25d-8ab6-4d48-a875-382b2a14a53b · inbound

CSR:Achieving 1 Bit Key-Value Cache via Sparse Representation cites this paper.

CSR:Achieving 1 Bit Key-Value Cache via Sparse Representation KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 2024

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Observation 3535e96e-a105-4684-b7c5-8b957cf300b8 · inbound

More Tokens, Lower Precision: Towards the Optimal Token-Precision Trade-off in KV Cache Compression cites this paper.

More Tokens, Lower Precision: Towards the Optimal Token-Precision Trade-off in KV Cache Compression KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 20

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ResQ: Mixed-Precision Quantization of Large Language Models with Low-Rank Residuals cites this paper.

ResQ: Mixed-Precision Quantization of Large Language Models with Low-Rank Residuals KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 23

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DynamicKV: Task-Aware Adaptive KV Cache Compression for Long Context LLMs cites this paper.

DynamicKV: Task-Aware Adaptive KV Cache Compression for Long Context LLMs KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 18

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Observation 66bd7130-778b-4b9b-b5f9-bb1cb30f5782 · inbound

HashEvict: A Pre-Attention KV Cache Eviction Strategy using Locality-Sensitive Hashing cites this paper.

HashEvict: A Pre-Attention KV Cache Eviction Strategy using Locality-Sensitive Hashing KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 31

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Observation cd871bcf-fddd-495a-a514-daf8f60c2f4b · inbound

A Survey on Large Language Model Acceleration based on KV Cache Management cites this paper.

A Survey on Large Language Model Acceleration based on KV Cache Management KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 87

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BlockDialect: Block-wise Fine-grained Mixed Format Quantization for Energy-Efficient LLM Inference cites this paper.

BlockDialect: Block-wise Fine-grained Mixed Format Quantization for Energy-Efficient LLM Inference KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 2020

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Observation bc330e45-6dd7-4f4d-b307-5b56cc54e84d · inbound

Qrazor: Reliable and Effortless 4-bit LLM Quantization by Significant Data Razoring cites this paper.

Qrazor: Reliable and Effortless 4-bit LLM Quantization by Significant Data Razoring KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 17

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KVDirect: Distributed Disaggregated LLM Inference cites this paper.

KVDirect: Distributed Disaggregated LLM Inference KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 14

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

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

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

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Observation f0bef686-892a-42fb-bace-ec0f75292a9d · inbound

RotateKV: Accurate and Robust 2-Bit KV Cache Quantization for LLMs via Outlier-Aware Adaptive Rotations cites this paper.

RotateKV: Accurate and Robust 2-Bit KV Cache Quantization for LLMs via Outlier-Aware Adaptive Rotations KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 1978

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Observation 63704b6d-d0da-4d2f-9966-e36b374e5998 · inbound

Cache Me If You Must: Adaptive Key-Value Quantization for Large Language Models cites this paper.

Cache Me If You Must: Adaptive Key-Value Quantization for Large Language Models KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 20

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Observation 0e95d2d7-7b5f-448a-98e9-7cc2b1147221 · inbound

PolarQuant: Leveraging Polar Transformation for Efficient Key Cache Quantization and Decoding Acceleration cites this paper.

PolarQuant: Leveraging Polar Transformation for Efficient Key Cache Quantization and Decoding Acceleration KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 10

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Observation 0d86c255-4a62-48c3-adae-804db6dd5993 · inbound

PolarQuant: Quantizing KV Caches with Polar Transformation cites this paper.

PolarQuant: Quantizing KV Caches with Polar Transformation KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 17

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Observation 457f745f-79a5-4965-b2cb-17a66955aeb7 · inbound

CriticalKV: Optimizing KV Cache Eviction from an Output Perturbation Perspective cites this paper.

CriticalKV: Optimizing KV Cache Eviction from an Output Perturbation Perspective KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 18

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Observation 9fe47305-c1fb-4cdd-a013-2f6bdd13060f · inbound

Systematic Outliers in Large Language Models cites this paper.

Systematic Outliers in Large Language Models KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 8

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Observation ecda896b-6e75-443b-8092-fc93d81d32bc · inbound

EfficientLLM: Scalable Pruning-Aware Pretraining for Architecture-Agnostic Edge Language Models cites this paper.

EfficientLLM: Scalable Pruning-Aware Pretraining for Architecture-Agnostic Edge Language Models KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 17

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Observation 2dbfab0e-01dd-4f32-8e8e-538cd0110b33 · inbound

Position: Episodic Memory is the Missing Piece for Long-Term LLM Agents cites this paper.

Position: Episodic Memory is the Missing Piece for Long-Term LLM Agents KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 36

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Observation 238d4a53-ec19-4a44-95f3-f91b2843baa0 · inbound

InfiniteHiP: Extending Language Model Context Up to 3 Million Tokens on a Single GPU cites this paper.

InfiniteHiP: Extending Language Model Context Up to 3 Million Tokens on a Single GPU KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 11

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Observation e846879e-f25e-4d65-aa78-a5774b046e17 · inbound

Cache-Craft: Managing Chunk-Caches for Efficient Retrieval-Augmented Generation cites this paper.

Cache-Craft: Managing Chunk-Caches for Efficient Retrieval-Augmented Generation KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 36

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TurboQuant: Online Vector Quantization with Near-optimal Distortion Rate cites this paper.

TurboQuant: Online Vector Quantization with Near-optimal Distortion Rate KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 30

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Observation e648adde-0231-4344-914a-9972409ac979 · inbound

MxMoE: Mixed-precision Quantization for MoE with Accuracy and Performance Co-Design cites this paper.

MxMoE: Mixed-precision Quantization for MoE with Accuracy and Performance Co-Design KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 9

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Observation 1bc47a00-7d92-4512-be9c-e6aea921184b · inbound

Ecco: Improving Memory Bandwidth and Capacity for LLMs via Entropy-aware Cache Compression cites this paper.

Ecco: Improving Memory Bandwidth and Capacity for LLMs via Entropy-aware Cache Compression KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 27

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PrefillOnly: An Inference Engine for Prefill-only Workloads in Large Language Model Applications cites this paper.

PrefillOnly: An Inference Engine for Prefill-only Workloads in Large Language Model Applications KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 17

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Observation a833d507-3149-4d46-84b6-22eb6fd5b50f · inbound

FastCar: Cache Attentive Replay for Fast Auto-Regressive Video Generation on the Edge cites this paper.

FastCar: Cache Attentive Replay for Fast Auto-Regressive Video Generation on the Edge KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 45

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Titanus: Enabling KV Cache Pruning and Quantization On-the-Fly for LLM Acceleration cites this paper.

Titanus: Enabling KV Cache Pruning and Quantization On-the-Fly for LLM Acceleration KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 9

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Observation 061c7b6a-8acf-416f-8cd8-aeb6b27e50cf · inbound

Win Fast or Lose Slow: Balancing Speed and Accuracy in Latency-Sensitive Decisions of LLMs cites this paper.

Win Fast or Lose Slow: Balancing Speed and Accuracy in Latency-Sensitive Decisions of LLMs KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 7

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Observation b846c7a3-8c26-4820-9f30-fd34b7596dbf · inbound

Hardware-Efficient Attention for Fast Decoding cites this paper.

Hardware-Efficient Attention for Fast Decoding KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 30

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Observation 19c23bce-5875-44f6-92fb-259f5d75ee64 · inbound

HATA: Trainable and Hardware-Efficient Hash-Aware Top-k Attention for Scalable Large Model Inference cites this paper.

HATA: Trainable and Hardware-Efficient Hash-Aware Top-k Attention for Scalable Large Model Inference KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 13

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Observation dec87567-bce7-4b01-9448-54d41b907068 · inbound

TaDA: Training-free recipe for Decoding with Adaptive KV Cache Compression and Mean-centering cites this paper.

TaDA: Training-free recipe for Decoding with Adaptive KV Cache Compression and Mean-centering KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 10

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Observation 683195ac-343c-4526-8a60-3fb774b83e18 · inbound

Reinforcement Learning Optimization for Large-Scale Learning: An Efficient and User-Friendly Scaling Library cites this paper.

Reinforcement Learning Optimization for Large-Scale Learning: An Efficient and User-Friendly Scaling Library KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 16

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Observation f8f7e5ad-7493-4c4b-bf6d-c01e6c2334aa · inbound

Beyond Homogeneous Attention: Memory-Efficient LLMs via Fourier-Approximated KV Cache cites this paper.

Beyond Homogeneous Attention: Memory-Efficient LLMs via Fourier-Approximated KV Cache KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 14

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Observation 40c2c40e-455f-493a-aec0-348b59a97461 · inbound

MadaKV: Adaptive Modality-Perception KV Cache Eviction for Efficient Multimodal Long-Context Inference cites this paper.

MadaKV: Adaptive Modality-Perception KV Cache Eviction for Efficient Multimodal Long-Context Inference KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 13

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Observation 2baeb153-49e3-4b37-908b-b498371ecb17 · inbound

CommVQ: Commutative Vector Quantization for KV Cache Compression cites this paper.

CommVQ: Commutative Vector Quantization for KV Cache Compression KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 1984

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Observation 19c85dd1-eaf2-46ec-b9ce-a79b014b1e82 · inbound

Breaking the Boundaries of Long-Context LLM Inference: Adaptive KV Management on a Single Commodity GPU cites this paper.

Breaking the Boundaries of Long-Context LLM Inference: Adaptive KV Management on a Single Commodity GPU KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 20

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Observation 53b5b577-79bb-4a38-8752-585dbd12bc91 · inbound

IAM: Efficient Inference through Attention Mapping between Different-scale LLMs cites this paper.

IAM: Efficient Inference through Attention Mapping between Different-scale LLMs KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 8

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Observation ffc9ce03-1f66-45f5-a56c-51d090804ebd · inbound

CaliDrop: KV Cache Compression with Calibration cites this paper.

CaliDrop: KV Cache Compression with Calibration KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 15

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Observation b78e0d83-6f47-466f-8038-3a25652de897 · inbound

OASIS: Outlier-Aware LUT-Based GEMM with Dual-Side Quantization for LLM Inference Acceleration cites this paper.

OASIS: Outlier-Aware LUT-Based GEMM with Dual-Side Quantization for LLM Inference Acceleration KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T11:15:33.951900Z

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Unavailable: canonical work link unavailable.

Observation 30df9cd3-da21-4b66-94cc-6e529e1f16c4 · inbound

TPLA: Tensor Parallel Latent Attention for Efficient Disaggregated Prefill and Decode Inference cites this paper.

TPLA: Tensor Parallel Latent Attention for Efficient Disaggregated Prefill and Decode Inference KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-05T17:55:10.035877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 692dbdfc-6c73-4425-9967-499b6355cf2b · inbound

PagedEviction: Structured Block-wise KV Cache Pruning for Efficient Large Language Model Inference cites this paper.

PagedEviction: Structured Block-wise KV Cache Pruning for Efficient Large Language Model Inference KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T10:16:13.074677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed0ab0ff-6081-457f-8c89-c47ef52b9221 · inbound

AQUA: Attention via QUery mAgnitudes for Memory and Compute Efficient Inference in LLMs cites this paper.

AQUA: Attention via QUery mAgnitudes for Memory and Compute Efficient Inference in LLMs KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T17:05:54.973004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 983a32bc-107b-44c9-a3e0-41e1c4621837 · inbound

EpiCache: Episodic KV Cache Management for Long-Term Conversation on Resource-Constrained Environments cites this paper.

EpiCache: Episodic KV Cache Management for Long-Term Conversation on Resource-Constrained Environments KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T21:54:22.821265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 15760c83-790d-4e7a-b65e-b4d4e8dcae70 · inbound

Token Sample Complexity of Attention cites this paper.

Token Sample Complexity of Attention KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 1963

Resolution: unresolved; no resolver link, observed 2026-08-03T17:10:08.496622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8e2c0b5-458f-4baf-b766-d3d418fc5841 · inbound

SR-TTT Does Not Learn Retrieval: A Correction and Mechanistic Post-Mortem of Surprisal-Aware Residual Test-Time Training cites this paper.

SR-TTT Does Not Learn Retrieval: A Correction and Mechanistic Post-Mortem of Surprisal-Aware Residual Test-Time Training KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T20:43:37.256381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5d4f3d5-68a8-4f87-9c2e-6f24aedf0a2d · inbound

Sequential KV Cache Compression via Probabilistic Language Tries: Beyond the Per-Vector Shannon Limit cites this paper.

Sequential KV Cache Compression via Probabilistic Language Tries: Beyond the Per-Vector Shannon Limit KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:11:05.119893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cde0251b-0d4b-4c31-bb72-819a7691390c · inbound

PolyKV: A Shared Asymmetrically-Compressed KV Cache Pool for Multi-Agent LLM Inference cites this paper.

PolyKV: A Shared Asymmetrically-Compressed KV Cache Pool for Multi-Agent LLM Inference KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:51:34.356303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c7fc36aa-0ad4-44f9-93ab-ccb34322ac62 · 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 KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:36:08.002040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d57de22e-4e01-405f-8866-348250b34b03 · inbound

HeadQ: Model-Visible Distortion and Score-Space Correction for KV-Cache Quantization cites this paper.

HeadQ: Model-Visible Distortion and Score-Space Correction for KV-Cache Quantization KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-12T11:01:29.776641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0cd80202-ee07-453b-b303-5406d11e96aa · inbound

HeadQ: Model-Visible Distortion and Score-Space Correction for KV-Cache Quantization cites this paper.

HeadQ: Model-Visible Distortion and Score-Space Correction for KV-Cache Quantization KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:20:42.515117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6413a979-1151-4d0a-b089-2bb3db893e42 · inbound

VORT: Adaptive Power-Law Memory for NLP Transformers cites this paper.

VORT: Adaptive Power-Law Memory for NLP Transformers KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:46:26.259266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e94c01d3-5644-4303-8353-e0656cc4ef32 · inbound

Protection Is (Nearly) All You Need: Structural Protection Dominates Scoring in Globally Capped KV Eviction cites this paper.

Protection Is (Nearly) All You Need: Structural Protection Dominates Scoring in Globally Capped KV Eviction KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T12:13:15.987749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f06e10bb-9277-48af-bb23-f84e9d816afa · inbound

SPHERICAL KV: Angle-Domain Attention and Rate-Distortion Retention for Efficient Long-Context Inference cites this paper.

SPHERICAL KV: Angle-Domain Attention and Rate-Distortion Retention for Efficient Long-Context Inference KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T20:33:43.345093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cf1e2c40-e430-4817-aeb3-4d4d392feff0 · inbound

Runtime-Certified Bounded-Error Quantized Attention cites this paper.

Runtime-Certified Bounded-Error Quantized Attention KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:49:41.109858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4bfb4e11-c9c5-404c-906c-7a5c0666f1d5 · inbound

Adaptive Mass-Segmented KV Compression for Long-Context Reasoning cites this paper.

Adaptive Mass-Segmented KV Compression for Long-Context Reasoning KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:25:23.488548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e1012cfb-6667-488f-bf37-162f4e42edaf · inbound

Influence-Inspired Spectral Rotations for Extreme Low-Bit LLM Quantization cites this paper.

Influence-Inspired Spectral Rotations for Extreme Low-Bit LLM Quantization KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-06-30T12:14:39.072739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e4e72868-c583-4321-a84e-da0be5a57f9e · inbound

Do Value Vectors in Deep Layers Need Context from the Residual Stream? cites this paper.

Do Value Vectors in Deep Layers Need Context from the Residual Stream? KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 76

Resolution: verified exact; arxiv_id, observed 2026-07-01T23:16:23.448886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2c5b01e8-7ed2-4d15-b55c-7efbd6e447c3 · inbound

Do Value Vectors in Deep Layers Need Context from the Residual Stream? cites this paper.

Do Value Vectors in Deep Layers Need Context from the Residual Stream? KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T12:41:20.552739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66f98172-5a50-4385-9606-d3916ec2c9c9 · inbound

STAR-KV: Low-Rank KV Cache Compression via Soft Thresholding for Adaptive Rank Control cites this paper.

STAR-KV: Low-Rank KV Cache Compression via Soft Thresholding for Adaptive Rank Control KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T22:57:26.297219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0d00ab5b-bcb2-46ef-b136-993c3c1a8dbf · inbound

From Rigid to Dynamic: Entropy-Guided Adaptive Inference for Long-Context LLMs cites this paper.

From Rigid to Dynamic: Entropy-Guided Adaptive Inference for Long-Context LLMs KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-06-27T17:01:07.733642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 19ab3f4d-16ff-4062-b6f0-4af4d02abc83 · inbound

Alignment Collapse Under KV Cache Quantization: Diagnosis and Mitigation cites this paper.

Alignment Collapse Under KV Cache Quantization: Diagnosis and Mitigation KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:16:16.033365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2bd10106-03ec-442b-b763-c59f9b220815 · inbound

GSRQ: Gain-Shape Residual Quantization for Sub-1-bit KV Cache cites this paper.

GSRQ: Gain-Shape Residual Quantization for Sub-1-bit KV Cache KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T15:57:06.412465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8e5f9032-d7cd-4df2-aa58-ef1b88649739 · inbound

Edge-Deployable LLM Fine-Tuning on a Single GPU for Telecom Network Troubleshooting cites this paper.

Edge-Deployable LLM Fine-Tuning on a Single GPU for Telecom Network Troubleshooting KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-12T17:31:15.972423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 318bfd26-f9f5-4a53-a10a-d232fb84b2f9 · inbound

Fractal KV-Cache Archives: Lossless Symbolic Storage with In-Place Retrieval for Long-Context LLM Inference cites this paper.

Fractal KV-Cache Archives: Lossless Symbolic Storage with In-Place Retrieval for Long-Context LLM Inference KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-07-09T19:16:27.748453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 21137c33-95f5-443c-af0c-65450a67d571 · inbound

What to Keep, What to Forget: A Rate--Distortion View of Memory Compaction in LLMs and Agents cites this paper.

What to Keep, What to Forget: A Rate--Distortion View of Memory Compaction in LLMs and Agents KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-07-10T01:36:44.040808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 079a02e3-8f49-4470-85f5-7c3e64a2be09 · inbound

Stateful Worlds, Stateless Elasticity: Exact-State Serving for Interactive World Models cites this paper.

Stateful Worlds, Stateless Elasticity: Exact-State Serving for Interactive World Models KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-14T12:07:13.700787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 370400af-5b24-4d45-9b3e-a0fe5069a658 · inbound

Constraint-Driven Model Optimization: An Industry Framework for Selecting Compression and Acceleration Techniques in Modern Machine Learning Systems cites this paper.

Constraint-Driven Model Optimization: An Industry Framework for Selecting Compression and Acceleration Techniques in Modern Machine Learning Systems KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T03:55:40.433775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c399909b-00ee-449b-aa0e-cdb766908015 · inbound

Looped Latent Attention: Cross-Loop KV Compression for Looped Transformers cites this paper.

Looped Latent Attention: Cross-Loop KV Compression for Looped Transformers KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-01T23:22:30.957456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad5553b7-0e5a-4377-b8c2-422f584943ce · inbound

High-accuracy Low-Bit KV-Cache Quantization via Local Distribution Restoration cites this paper.

High-accuracy Low-Bit KV-Cache Quantization via Local Distribution Restoration KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-02T09:50:32.327649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27aab2f4-0d4c-4593-9b3e-55914237ada8 · inbound

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling cites this paper.

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-02T09:51:03.359796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ac5d3aa-ed7d-4947-bbca-b783de3c136c · inbound

Where Facts Go Missing: A Layerwise Taxonomy and Per-Layer Attribution of Information Omission in Air-Gapped LLMAgent Pipelines cites this paper.

Where Facts Go Missing: A Layerwise Taxonomy and Per-Layer Attribution of Information Omission in Air-Gapped LLMAgent Pipelines KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-01T04:48:25.926385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 270ca459-9ac7-4564-81ca-0a1b40cfb920 · inbound

A Photonic-CXL Memory Appliance for Scalable KV Cache Management in LLM Inference cites this paper.

A Photonic-CXL Memory Appliance for Scalable KV Cache Management in LLM Inference KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 34

Resolution: unresolved; no resolver link, observed 2026-07-30T11:12:05.608333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c113f63-5339-43b9-95e9-a9b797220e11 · inbound

WitCert: Sound Runtime Risk Observability and Gating for KV-Cache Quantization cites this paper.

WitCert: Sound Runtime Risk Observability and Gating for KV-Cache Quantization KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T00:43:49.304692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60c500bb-4bef-4e45-af9e-d8f47a319e9c · inbound

SAKI: Score-Aware Low-Rank Key Indexing with Random-Matrix Noise Correction for KV Retrieval cites this paper.

SAKI: Score-Aware Low-Rank Key Indexing with Random-Matrix Noise Correction for KV Retrieval KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T23:10:35.719156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d9282e2-7c49-456f-967f-e3304a2e1eac · inbound

SAKI: Score-Aware Low-Rank Key Indexing with Random-Matrix Noise Correction for KV Retrieval cites this paper.

SAKI: Score-Aware Low-Rank Key Indexing with Random-Matrix Noise Correction for KV Retrieval KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-08T00:54:42.716534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b01ebdca-cafa-45f6-b606-579db731137f · inbound

Deltoris: Enabling Real-time VLA Inference in Embodied AI via Bit-level Sparsity and Speculative Inference cites this paper.

Deltoris: Enabling Real-time VLA Inference in Embodied AI via Bit-level Sparsity and Speculative Inference KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T14:46:03.997449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e887a3ac-789a-4f76-9b4f-c99892a87403 · inbound

Hidden Language Consistency Phenomena in Reasoning LLMs cites this paper.

Hidden Language Consistency Phenomena in Reasoning LLMs KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 226

Resolution: unresolved; no resolver link, observed 2026-08-14T04:40:10.093000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8271b02-afab-4e8d-b0b4-d7e3fd4ce051 · inbound

When Local Variance Optimality Is Not Enough: RoPE-Aligned Q/K Rotations for Dynamic 4-Bit Quantisation cites this paper.

When Local Variance Optimality Is Not Enough: RoPE-Aligned Q/K Rotations for Dynamic 4-Bit Quantisation KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-14T12:54:26.504222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers