Paper Citation Record · LEDGER

PM-KVQ: Progressive Mixed-precision KV Cache Quantization for Long-CoT LLMs

As of 14 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 7 inbound Pith citation observations for arXiv:2505.18610.

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

pith.paper-citation-record.v1
2505.18610 v2

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:34:27.538376Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:51:05.406333Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-05T05:50:43.580203Z

Reference resolution

27 of 27 outbound references displayed

verified exact0
verified fuzzy6
unresolved21
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2b20b506-b216-4e0d-b3f6-033e12c8755b · outbound

This paper cites American invitational mathematics examination, 2025.

PM-KVQ: Progressive Mixed-precision KV Cache Quantization for Long-CoT LLMs American invitational mathematics examination, 2025

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:28.842501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7675a78b-e5df-4b7b-9435-23cd6dc9daf0 · outbound

This paper cites GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints.

PM-KVQ: Progressive Mixed-precision KV Cache Quantization for Long-CoT LLMs GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:25.275482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4984c2db-1f4b-4200-ab32-71651135d69a · outbound

This paper cites Extending Context Window of Large Language Models via Positional Interpolation.

PM-KVQ: Progressive Mixed-precision KV Cache Quantization for Long-CoT LLMs Extending Context Window of Large Language Models via Positional Interpolation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:25.333985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a6a85a1-b026-4b4d-8961-f89d3ad5f6f7 · outbound

This paper cites Carnegie mellon informatics and mathematics competition, 2025.

PM-KVQ: Progressive Mixed-precision KV Cache Quantization for Long-CoT LLMs Carnegie mellon informatics and mathematics competition, 2025

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:28.723653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d4cf4010-ac3c-41ca-b7c0-385bba73c91c · outbound

This paper cites CVXPY: A Python-embedded modeling language for convex optimization.Journal of Machine Learning Research, 17(83):1–5, 2016.

PM-KVQ: Progressive Mixed-precision KV Cache Quantization for Long-CoT LLMs CVXPY: A Python-embedded modeling language for convex optimization.Journal of Machine Learning Research, 17(83):1–5, 2016

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:25.407380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bb28117-42f1-45b9-97d9-8d2d9dc4e9b6 · outbound

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

PM-KVQ: Progressive Mixed-precision KV Cache Quantization for Long-CoT LLMs SKVQ: Sliding-window Key and Value Cache Quantization for Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:25.438387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3f6d26e-29d0-45cf-959b-9bb1f42cc5f3 · outbound

This paper cites Moa: Mixture of sparse attention for automatic large language model compression.arXiv preprint arXiv:2406.14909, 2024.

PM-KVQ: Progressive Mixed-precision KV Cache Quantization for Long-CoT LLMs Moa: Mixture of sparse attention for automatic large language model compression.arXiv preprint arXiv:2406.14909, 2024

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:25.524088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e8454ea-7e57-4706-a720-2c881b122819 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

PM-KVQ: Progressive Mixed-precision KV Cache Quantization for Long-CoT LLMs DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:25.573877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bfc87e1-e9ec-4e0e-a3d0-15c80281a929 · outbound

This paper cites Quantize What Counts: More for Keys, Less for Values.

PM-KVQ: Progressive Mixed-precision KV Cache Quantization for Long-CoT LLMs Quantize What Counts: More for Keys, Less for Values

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:25.594534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9240860a-f53e-4064-ac51-83e9689daa9e · outbound

This paper cites LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code.

PM-KVQ: Progressive Mixed-precision KV Cache Quantization for Long-CoT LLMs LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:25.647588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db4b4924-5a15-422f-b1e1-81dadb0a2338 · outbound

This paper cites Llm-mq: Mixed-precision quantization for efficient llm deployment.

PM-KVQ: Progressive Mixed-precision KV Cache Quantization for Long-CoT LLMs Llm-mq: Mixed-precision quantization for efficient llm deployment

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:28.607938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d2857518-6375-4364-a8f9-6808db1e86c6 · outbound

This paper cites Awq: Activation-aware weight quantization for on-device llm compression and acceleration.Proceedings of Machine Learning and Systems, 6:87–100, 2024.

PM-KVQ: Progressive Mixed-precision KV Cache Quantization for Long-CoT LLMs Awq: Activation-aware weight quantization for on-device llm compression and acceleration.Proceedings of Machine Learning and Systems, 6:87–100, 2024

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:25.833313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c239ce3-f9a5-45f6-832d-c4cbfe5c4158 · outbound

This paper cites QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving.

PM-KVQ: Progressive Mixed-precision KV Cache Quantization for Long-CoT LLMs QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:25.898209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3701df9d-5b34-4c88-bae0-f5f8e4659a31 · outbound

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

PM-KVQ: Progressive Mixed-precision KV Cache Quantization for Long-CoT LLMs DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:25.951695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05a9d736-233f-40be-a294-c05402c37922 · outbound

This paper cites Intactkv: Improving large language model quantization by keeping pivot tokens intact.

PM-KVQ: Progressive Mixed-precision KV Cache Quantization for Long-CoT LLMs Intactkv: Improving large language model quantization by keeping pivot tokens intact

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:28.356439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 621798a3-de2e-4b6f-a659-4116715d871a · outbound

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

PM-KVQ: Progressive Mixed-precision KV Cache Quantization for Long-CoT LLMs KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:26.080933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a24314fe-0752-48a6-84ec-aac281827bef · outbound

This paper cites Introducing openai o1, September 2024.

PM-KVQ: Progressive Mixed-precision KV Cache Quantization for Long-CoT LLMs Introducing openai o1, September 2024

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:28.139404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1cdbaf85-b8b8-4cf4-a88c-d75c9c3d53f0 · outbound

This paper cites Fast Transformer Decoding: One Write-Head is All You Need.

PM-KVQ: Progressive Mixed-precision KV Cache Quantization for Long-CoT LLMs Fast Transformer Decoding: One Write-Head is All You Need

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:26.276661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a617a6db-d533-463d-ab27-f19a9c9e765f · outbound

This paper cites Roformer: Enhanced transformer with rotary position embedding.Neurocomputing, 568:127063, 2024.

PM-KVQ: Progressive Mixed-precision KV Cache Quantization for Long-CoT LLMs Roformer: Enhanced transformer with rotary position embedding.Neurocomputing, 568:127063, 2024

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:26.328850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c805816e-3b54-44e3-9dca-12eead72654f · outbound

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

PM-KVQ: Progressive Mixed-precision KV Cache Quantization for Long-CoT LLMs RotateKV: Accurate and Robust 2-Bit KV Cache Quantization for LLMs via Outlier-Aware Adaptive Rotations

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:26.485614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bb5bc09-014c-4013-9ef9-91deb9bddd52 · outbound

This paper cites Qwq-32b: Embracing the power of reinforcement learning, March 2025.

PM-KVQ: Progressive Mixed-precision KV Cache Quantization for Long-CoT LLMs Qwq-32b: Embracing the power of reinforcement learning, March 2025

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:26.603479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f59fc53-bcd7-4d96-9798-ce6da8931fcc · outbound

This paper cites an unresolved cited work.

PM-KVQ: Progressive Mixed-precision KV Cache Quantization for Long-CoT LLMs Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:26.757650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d5a41f4-3681-400c-9ac5-2705c36c194d · outbound

This paper cites Efficient Streaming Language Models with Attention Sinks.

PM-KVQ: Progressive Mixed-precision KV Cache Quantization for Long-CoT LLMs Efficient Streaming Language Models with Attention Sinks

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:26.912924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f56688f-352e-42ab-9a88-3b54731b5200 · outbound

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

PM-KVQ: Progressive Mixed-precision KV Cache Quantization for Long-CoT LLMs No Token Left Behind: Reliable KV Cache Compression via Importance-Aware Mixed Precision Quantization

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:27.041485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c81bd392-b7a7-49c4-974a-27b5949d74d5 · outbound

This paper cites WKVQuant: Quantizing Weight and Key/Value Cache for Large Language Models Gains More.

PM-KVQ: Progressive Mixed-precision KV Cache Quantization for Long-CoT LLMs WKVQuant: Quantizing Weight and Key/Value Cache for Large Language Models Gains More

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:27.199163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc0885bd-c87e-4f3f-a23e-4ebf8585fb8b · outbound

This paper cites H2o: Heavy-hitter oracle for efficient generative inference of large language models.Advances in Neural Information Processing Systems, 36:34661–34710, 2023.

PM-KVQ: Progressive Mixed-precision KV Cache Quantization for Long-CoT LLMs H2o: Heavy-hitter oracle for efficient generative inference of large language models.Advances in Neural Information Processing Systems, 36:34661–34710, 2023

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:27.373613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f54927b-1e40-4966-847c-e6c7f192e5b0 · outbound

This paper cites Mixdq: Memory-efficient few-step text-to-image diffusion models with metric-decoupled mixed precision quantization.

PM-KVQ: Progressive Mixed-precision KV Cache Quantization for Long-CoT LLMs Mixdq: Memory-efficient few-step text-to-image diffusion models with metric-decoupled mixed precision quantization

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:27.967366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

Observation df4693bc-bdfd-4a6e-9a8a-910229384ab7 · inbound

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models cites this paper.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models PM-KVQ: Progressive Mixed-precision KV Cache Quantization for Long-CoT LLMs

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T23:51:05.406333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddf4ad6e-87ee-4209-91f6-3b3c441c7aa6 · inbound

RateQuant: Optimal Mixed-Precision KV Cache Quantization via Rate-Distortion Theory cites this paper.

RateQuant: Optimal Mixed-Precision KV Cache Quantization via Rate-Distortion Theory PM-KVQ: Progressive Mixed-precision KV Cache Quantization for Long-CoT LLMs

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-14T01:19:53.637977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 194f9ca4-905b-4a57-a95f-2123d5b4d514 · inbound

RateQuant: Optimal Mixed-Precision KV Cache Quantization via Rate-Distortion Theory cites this paper.

RateQuant: Optimal Mixed-Precision KV Cache Quantization via Rate-Distortion Theory PM-KVQ: Progressive Mixed-precision KV Cache Quantization for Long-CoT LLMs

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-14T01:19:53.637977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2c0a9ec0-70f8-4829-95a0-c4ed6d93817e · inbound

KVServe: Service-Aware KV Cache Compression for Communication-Efficient Disaggregated LLM Serving cites this paper.

KVServe: Service-Aware KV Cache Compression for Communication-Efficient Disaggregated LLM Serving PM-KVQ: Progressive Mixed-precision KV Cache Quantization for Long-CoT LLMs

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-07-14T01:19:53.637977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 201f393f-7216-4db9-8702-940eaa3cca96 · inbound

OSCAR: Offline Spectral Covariance-Aware Rotation for 2-bit KV Cache Quantization cites this paper.

OSCAR: Offline Spectral Covariance-Aware Rotation for 2-bit KV Cache Quantization PM-KVQ: Progressive Mixed-precision KV Cache Quantization for Long-CoT LLMs

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-07-14T01:19:53.637977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a57804d3-3d5f-4d26-9817-433780185387 · inbound

RoPE-Aware Bit Allocation for KV-Cache Quantization cites this paper.

RoPE-Aware Bit Allocation for KV-Cache Quantization PM-KVQ: Progressive Mixed-precision KV Cache Quantization for Long-CoT LLMs

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-14T01:19:53.637977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2f48ec61-67e9-4b2a-8aa7-4acaa3ffe79d · 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 PM-KVQ: Progressive Mixed-precision KV Cache Quantization for Long-CoT LLMs

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T09:50:32.732340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.