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Paper Citation Record · LEDGER

NQKV: A KV Cache Quantization Scheme Based on Normal Distribution Characteristics

As of 8 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2505.16210.

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

pith.paper-citation-record.v1
2505.16210 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:09:31.445812Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

45 of 45 outbound references displayed

  • verified exact0
  • verified fuzzy17
  • unresolved28
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 78b473c1-0c15-4c56-92be-72de077a108d · outbound

This paper cites an unresolved cited work.

NQKV: A KV Cache Quantization Scheme Based on Normal Distribution Characteristics Unresolved cited work

Reference 1

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 649822df-7e2e-4ed2-9b82-41624553e043 · outbound

This paper cites an unresolved cited work.

NQKV: A KV Cache Quantization Scheme Based on Normal Distribution Characteristics Unresolved cited work

Reference 2

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:09:25.383178Z digest=sha256:a09db789c167967802c1f06dd5248e01f11a570f7caa8e8880f1a540925de5d9

Observation aa77bea1-41c7-46d7-8525-82ad470787e8 · outbound

This paper cites OPT: Open Pre-trained Transformer Language Models.

NQKV: A KV Cache Quantization Scheme Based on Normal Distribution Characteristics OPT: Open Pre-trained Transformer Language Models

Reference 3

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source=pdf_text observed=2026-08-07T15:09:25.514805Z digest=sha256:ca3ddf6b2c8f348814bf50045ccdf6de9a67ece30c9298f9294e01e979a4aaa2

Observation e1f0c494-def9-43e3-ad9a-32cb8ffd854a · outbound

This paper cites LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models.

NQKV: A KV Cache Quantization Scheme Based on Normal Distribution Characteristics LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 4

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source=pdf_text observed=2026-08-07T15:09:25.655366Z digest=sha256:b5b26d33da8c98d3572990a68aa7d5197150a2b789078bf9b54b3dfce90a9d0e

Observation fbf5668c-8cac-4748-a6fc-822c4398d3aa · outbound

This paper cites RPTQ: Reorder-based Post-training Quantization for Large Language Models.

NQKV: A KV Cache Quantization Scheme Based on Normal Distribution Characteristics RPTQ: Reorder-based Post-training Quantization for Large Language Models

Reference 5

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source=pdf_text observed=2026-08-07T15:09:25.793744Z digest=sha256:03996e517048f77a6bc01c472cc243490085cfc68e33323d257ea5d02984ce78

Observation d26fbadf-8922-41ee-9e1b-18612f8ae53b · outbound

This paper cites Flexgen: High-throughput generative inference of large language models with a single gpu, in: International Conference on Machine Learning, PMLR.

NQKV: A KV Cache Quantization Scheme Based on Normal Distribution Characteristics Flexgen: High-throughput generative inference of large language models with a single gpu, in: International Conference on Machine Learning, PMLR

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:09:25.915747Z digest=sha256:6c21c501af7c95193c36d152ce3ceaad7e34897dd224e9df655088cdbbc66dfc

Observation 14101c70-52dd-4005-b513-4573d75b6d23 · outbound

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

NQKV: A KV Cache Quantization Scheme Based on Normal Distribution Characteristics Fast Transformer Decoding: One Write-Head is All You Need

Reference 8

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source=pdf_text observed=2026-08-07T15:09:26.125234Z digest=sha256:e5243a47ec8ac03317d3b557479733740f591092712edcf7ad1d9a8132c3a8d8

Observation a5fde9d2-3c08-4fb5-bc33-5813de042b6d · outbound

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

NQKV: A KV Cache Quantization Scheme Based on Normal Distribution Characteristics GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints

Reference 9

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source=pdf_text observed=2026-08-07T15:09:26.230011Z digest=sha256:bbb5046d8059c8992882a6da0dc7851e332dbd25c379b585f001927939f9d604

Observation e01d6c9f-353b-4337-910c-fd0548c8f0bb · outbound

This paper cites H2o: Heavy-hitteroracle forefficientgenerativeinferenceoflargelanguagemodels.

NQKV: A KV Cache Quantization Scheme Based on Normal Distribution Characteristics H2o: Heavy-hitteroracle forefficientgenerativeinferenceoflargelanguagemodels

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:09:26.349764Z digest=sha256:bc9ff20fffd91f8851a99fdd0510973906a0ef5597fd7adb581e5a694d7bd9bb

Observation e75caa46-73af-436b-bb32-244e7c379b3b · outbound

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

NQKV: A KV Cache Quantization Scheme Based on Normal Distribution Characteristics GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Reference 11

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source=pdf_text observed=2026-08-07T15:09:26.474346Z digest=sha256:6be28026c47a29a873427a440b8296daeb96dc8d19a291eb1fbae5ccfb65ac71

Observation bb6b3b43-e8c0-490d-9f86-3b6019227864 · outbound

This paper cites SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression.

NQKV: A KV Cache Quantization Scheme Based on Normal Distribution Characteristics SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression

Reference 12

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source=pdf_text observed=2026-08-07T15:09:26.610823Z digest=sha256:294091a5f3ce38c630102b5f202c126124f10efb09613081bbf8794b6c60874d

Observation 1ac6b1b6-fa13-49f3-a1e6-2571e98c4624 · outbound

This paper cites Smoothquant: Accurate and efficient post-training quantization for large language models, in: International Conference on Machine Learning, PMLR.

NQKV: A KV Cache Quantization Scheme Based on Normal Distribution Characteristics Smoothquant: Accurate and efficient post-training quantization for large language models, in: International Conference on Machine Learning, PMLR

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:09:26.736297Z digest=sha256:08046845e60f053f67648384369019bf2e8602aab372f2ce7489548c3770049d

Observation 62867701-feb2-4f87-9b52-1573ee078539 · outbound

This paper cites an unresolved cited work.

NQKV: A KV Cache Quantization Scheme Based on Normal Distribution Characteristics Unresolved cited work

Reference 14

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:09:26.876477Z digest=sha256:4fdce5e20fe9611c66f5d716f5de7c2395370b794803635e4a5e0bd4fd30026e

Observation bb268230-e59d-46e1-b57d-ff2a717ad7f2 · outbound

This paper cites an unresolved cited work.

NQKV: A KV Cache Quantization Scheme Based on Normal Distribution Characteristics Unresolved cited work

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:09:27.128510Z digest=sha256:b70270856c10539ff84eb0d0128e1d148795fa620c5b3e7f2eac3c4fdf2f966a

Observation 8685fea2-71ff-4681-91ad-428d9cbfff4c · outbound

This paper cites The case for 4-bit precision: k- bit inference scaling laws, in: International Conference on Machine Learning, PMLR.

NQKV: A KV Cache Quantization Scheme Based on Normal Distribution Characteristics The case for 4-bit precision: k- bit inference scaling laws, in: International Conference on Machine Learning, PMLR

Reference 16

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raw_fallback, observed 2026-08-07T15:09:34.572420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:09:27.306399Z digest=sha256:524d043808b6773f530fdc7227b8bd2b8b89f528549ddbf2050ffa1e21e811c5

Observation 34d83810-ad86-4d8a-89dd-c687f710701e · outbound

This paper cites Attention is all you need.

NQKV: A KV Cache Quantization Scheme Based on Normal Distribution Characteristics Attention is all you need

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:09:27.463815Z digest=sha256:d5cffb75ca0a8c4aa1a478f35bd13ed694f5f5419cd0010f52cd1d5a738725a8

Observation 53f0e77a-0173-4915-80db-efb0a98931be · outbound

This paper cites Fp8 quantization: The power of the expo- nent.AdvancesinNeuralInformationProcessingSystems35,14651– 14662.

NQKV: A KV Cache Quantization Scheme Based on Normal Distribution Characteristics Fp8 quantization: The power of the expo- nent.AdvancesinNeuralInformationProcessingSystems35,14651– 14662

Reference 18

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:09:27.586423Z digest=sha256:43c13607e995b422d0e7eaa9c37afaaa2e4aaf64ba1574d2ae3406fb43d7051a

Observation 050ce1f5-d2de-4796-b288-3a1eeba1d196 · outbound

This paper cites Integer or Floating Point? New Outlooks for Low-Bit Quantization on Large Language Models.

NQKV: A KV Cache Quantization Scheme Based on Normal Distribution Characteristics Integer or Floating Point? New Outlooks for Low-Bit Quantization on Large Language Models

Reference 19

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source=pdf_text observed=2026-08-07T15:09:27.718289Z digest=sha256:6dea0849cf6a36163d650bd8247d758bb6102e2edd996518e9f9bcbf76f56c48

Observation 553fbd00-e612-4e3f-a8e9-56782a53b94f · outbound

This paper cites Qlora: Efficient finetuning of quantized llms.

NQKV: A KV Cache Quantization Scheme Based on Normal Distribution Characteristics Qlora: Efficient finetuning of quantized llms

Reference 20

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raw_fallback, observed 2026-08-07T15:09:34.110879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:09:27.833752Z digest=sha256:df1482205fcf013f2b88cdc752447e658d815ccd5d43bcc1699de41d8845771c

Observation a40b3bc0-d900-4989-b954-f2b0d7d0a6eb · outbound

This paper cites A White Paper on Neural Network Quantization.

NQKV: A KV Cache Quantization Scheme Based on Normal Distribution Characteristics A White Paper on Neural Network Quantization

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:09:27.928633Z digest=sha256:f1beb041d34b8ee77ee8e4c2ce511cd5ea9675f7f02a0d7736a8cfb133dd98cf

Observation 35d1fb85-9e6b-4e03-bb04-4cf406c1c24d · outbound

This paper cites A Survey on Model Compression for Large Language Models.

NQKV: A KV Cache Quantization Scheme Based on Normal Distribution Characteristics A Survey on Model Compression for Large Language Models

Reference 22

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source=pdf_text observed=2026-08-07T15:09:28.068308Z digest=sha256:72eee16469b4845b9d21250fe9616200af79fc590dbb61c25d2d4576f8129bcd

Observation 6b13b8be-a353-49c8-8d5b-21800180eb06 · outbound

This paper cites Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding.

NQKV: A KV Cache Quantization Scheme Based on Normal Distribution Characteristics Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

Reference 23

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source=pdf_text observed=2026-08-07T15:09:28.255054Z digest=sha256:85dbf6b74db7745e3f738b77dc924128d427455765b57338faa0e6c02be380e7

Observation aaecc955-929a-451c-835c-de0554fb0a60 · outbound

This paper cites AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration.

NQKV: A KV Cache Quantization Scheme Based on Normal Distribution Characteristics AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

Reference 24

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source=pdf_text observed=2026-08-07T15:09:28.387351Z digest=sha256:05a5492b21d3110f78754c10f44855c6b3cfe62624eaabb2446ee07ff6e7bc44

Observation 61b27dfa-542c-4af4-b9dc-1325f222f8d7 · outbound

This paper cites SqueezeLLM: Dense-and-Sparse Quantization.

NQKV: A KV Cache Quantization Scheme Based on Normal Distribution Characteristics SqueezeLLM: Dense-and-Sparse Quantization

Reference 25

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:09:28.498086Z digest=sha256:07f04afe3b06d4ac9f50fce3b79555fb3e8d434d53ae1f4b709d3a875e42e0a8

Observation 03b3f273-7919-4734-be7f-655c8e8fd9ec · outbound

This paper cites QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization.

NQKV: A KV Cache Quantization Scheme Based on Normal Distribution Characteristics QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization

Reference 26

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:09:28.666178Z digest=sha256:90edb5a96b8001a73525591ecdc5d56c125857ba7e13e495bab211b3949d33f1

Observation ec87a6aa-c64a-4473-8a31-2588923f04c7 · outbound

This paper cites an unresolved cited work.

NQKV: A KV Cache Quantization Scheme Based on Normal Distribution Characteristics Unresolved cited work

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:09:28.845668Z digest=sha256:6fb7dd3b9450a4d1cbc0a9d059720b248ad675c49c76459752c1cdb4a920e8fa

Observation 5e902144-9c07-4180-814a-abc23a3d27a2 · outbound

This paper cites LLM-QAT: Data-Free Quantization Aware Training for Large Language Models.

NQKV: A KV Cache Quantization Scheme Based on Normal Distribution Characteristics LLM-QAT: Data-Free Quantization Aware Training for Large Language Models

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:09:29.098589Z digest=sha256:ea7f07759760e6f209046d2ea9b2ea2f85754896ecf0fa4375f91755a3db64eb

Observation d912522a-d73a-4101-ba30-13b02cd7867b · outbound

This paper cites Kivi: Plug-and-play 2bit kv cache quantization with streaming asymmetric quantization.

NQKV: A KV Cache Quantization Scheme Based on Normal Distribution Characteristics Kivi: Plug-and-play 2bit kv cache quantization with streaming asymmetric quantization

Reference 29

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raw_fallback, observed 2026-08-07T15:09:33.765245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:09:29.268005Z digest=sha256:9d1c7d9fb2c894c239be83b6c73e04f346e5d1abfb356e3037ed40dbabb69c52

Observation b0563d9b-a6fe-458c-8ad8-4824059d7547 · outbound

This paper cites Efficientmemorymanagementfor largelanguagemodelservingwithpagedattention,in: Proceedingsof the 29th Symposium on Operating Systems Principles, pp.

NQKV: A KV Cache Quantization Scheme Based on Normal Distribution Characteristics Efficientmemorymanagementfor largelanguagemodelservingwithpagedattention,in: Proceedingsof the 29th Symposium on Operating Systems Principles, pp

Reference 30

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raw_fallback, observed 2026-08-07T15:09:35.446940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:09:29.456483Z digest=sha256:66fe746bedb19e28a6db2b9bf688ea93e01c3a6d3ec2b5f200626b12ef24cef5

Observation edeb09be-7c97-48a8-9918-351471e51278 · outbound

This paper cites Advances in Neural Information Processing Systems 36.

NQKV: A KV Cache Quantization Scheme Based on Normal Distribution Characteristics Advances in Neural Information Processing Systems 36

Reference 31

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raw_fallback, observed 2026-08-07T15:09:33.588651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:09:29.592541Z digest=sha256:bad1509e34e8febbb97198e95c586c94469bf46ebfbf2c760f0e4491be098476

Observation bff5aff5-7c1c-4005-9c36-f530785b5411 · outbound

This paper cites Efficient Streaming Language Models with Attention Sinks.

NQKV: A KV Cache Quantization Scheme Based on Normal Distribution Characteristics Efficient Streaming Language Models with Attention Sinks

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:09:29.717747Z digest=sha256:26c5b414619bc1231808208b4abf48af05411424992e14559e02ffb0c15b1b42

Observation 6b7dbf3f-9663-4574-b353-d6f15a1a154a · outbound

This paper cites Probability plotting methods for the analysis of data.

NQKV: A KV Cache Quantization Scheme Based on Normal Distribution Characteristics Probability plotting methods for the analysis of data

Reference 33

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raw_fallback, observed 2026-08-07T15:09:33.475401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:09:29.895959Z digest=sha256:1d1878934b5aa19fb7fdfff54ac39656896bddbc0b0cd22e72eba5939cf7f1fc

Observation 90369b87-aa84-4baa-a3a1-4089ab18d007 · outbound

This paper cites Tests for normal distribution in goodness-of-fit techniques.

NQKV: A KV Cache Quantization Scheme Based on Normal Distribution Characteristics Tests for normal distribution in goodness-of-fit techniques

Reference 34

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raw_fallback, observed 2026-08-07T15:09:33.263393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:09:30.084876Z digest=sha256:534f64a845c7fef43cc8b070fe12d95ba7758d44c0e3ff0e141978148a1d5352

Observation 70eb239d-9e2a-439f-9a42-df13cfbb63ba · outbound

This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.

NQKV: A KV Cache Quantization Scheme Based on Normal Distribution Characteristics The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 35

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:09:30.191276Z digest=sha256:ffa9dceecde2b05d6310f53312d690f6d20dea3d89c5b4a39531c37b4dd82bcd

Observation 31e97a87-15ef-40eb-b01b-bf6707a20330 · outbound

This paper cites Hugging face, in: Introduction to transformers for NLP: With the hugging face library and models to solve problems.

NQKV: A KV Cache Quantization Scheme Based on Normal Distribution Characteristics Hugging face, in: Introduction to transformers for NLP: With the hugging face library and models to solve problems

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-07T15:09:32.960520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:09:30.397033Z digest=sha256:a55039badaa381e406593337a8a1a2d303b90c287e7643c837fcac440677816b

Observation ff902d43-ccd7-4806-8e90-3b352997f318 · outbound

This paper cites Piqa: Reasoning about physical commonsense in natural language, in: Proceedings of the AAAI conference on artificial intelligence, pp.

NQKV: A KV Cache Quantization Scheme Based on Normal Distribution Characteristics Piqa: Reasoning about physical commonsense in natural language, in: Proceedings of the AAAI conference on artificial intelligence, pp

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:09:32.664489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:09:30.567861Z digest=sha256:f1de8207cca4934880a7f727c564acc3f837316441b304157f23c4f48f83c60c

Observation c4adb26c-0519-4892-ac80-87df53251bf8 · outbound

This paper cites Wino- grande: An adversarial winograd schema challenge at scale.

NQKV: A KV Cache Quantization Scheme Based on Normal Distribution Characteristics Wino- grande: An adversarial winograd schema challenge at scale

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:09:32.315655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:09:30.701313Z digest=sha256:6e1354df07769836396abca45c6c404ec1c5e7e39c0ba1e515534b69e0f6eacc

Observation e2a75fc4-8fd4-4821-977c-a758a1ea8202 · outbound

This paper cites HellaSwag: Can a Machine Really Finish Your Sentence?.

NQKV: A KV Cache Quantization Scheme Based on Normal Distribution Characteristics HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T15:09:30.863997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:09:30.863997Z digest=sha256:bb14e85ff87875e37216b789d1006ea74b54c683b23162c7a6363bdb34470b94

Observation a6999a78-832f-4fbf-ba26-8f1266015276 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

NQKV: A KV Cache Quantization Scheme Based on Normal Distribution Characteristics Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T15:09:30.994247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:09:30.994247Z digest=sha256:814105fc17a0431676308b6d5f005d514e82db552eb49f09797d4811c6ad1b8e

Observation ffac8aa7-ccb6-480a-8e7c-a4c473f4d0fd · outbound

This paper cites an unresolved cited work.

NQKV: A KV Cache Quantization Scheme Based on Normal Distribution Characteristics Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:09:32.072079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:09:31.116697Z digest=sha256:d72e7154062ba389492df252697cad1ac6d07c8fc969b109ee54baa6bfc2b588

Observation b18b99c4-573a-4260-b28a-17bb14ad0850 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

NQKV: A KV Cache Quantization Scheme Based on Normal Distribution Characteristics BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T15:09:31.445812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:09:31.445812Z digest=sha256:d369b41086fef102ece080a3cc878c64520394545f7694e5500cff3759f68534

Observation c411ac30-1bc7-47e0-b9b8-7f9005ff7d2c · outbound

This paper cites GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding.

NQKV: A KV Cache Quantization Scheme Based on Normal Distribution Characteristics GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-07T15:09:31.276960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:09:31.276960Z digest=sha256:6c08e503e3b181c182ffb80c34b2ff3f72ebc0aca86a65b27e73a2dcc13cc988

Observation 1ddc62b0-5635-4a54-a301-52ccfbe839bf · outbound

This paper cites Advances in neural information processing systems 33, 1877–1901.

NQKV: A KV Cache Quantization Scheme Based on Normal Distribution Characteristics Advances in neural information processing systems 33, 1877–1901

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:09:35.979216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:09:25.239920Z digest=sha256:2815bef9c64b7735414c85be9edb9b83479998acef39e1e89947d790b5b18033

Observation 83ee8742-13ea-4ca3-9d28-4c5e8b6ef7ca · outbound

This paper cites Advances in Neural Information Pro- cessing Systems 35, 27168–27183.

NQKV: A KV Cache Quantization Scheme Based on Normal Distribution Characteristics Advances in Neural Information Pro- cessing Systems 35, 27168–27183

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:09:34.899570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:09:26.997842Z digest=sha256:681fc2a14f79fa1b6be721a13b4817248b2c6440b2b890390b0e3907f6a893f8

Observation 633f0dc7-212f-47b7-864f-b5b08e2e0762 · outbound

This paper cites Outlier Suppression+: Accurate quantization of large language models by equivalent and optimal shifting and scaling.

NQKV: A KV Cache Quantization Scheme Based on Normal Distribution Characteristics Outlier Suppression+: Accurate quantization of large language models by equivalent and optimal shifting and scaling

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-07T15:09:28.972282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:09:28.972282Z digest=sha256:beac7a8774a40adb6571210722887755dac7764fd18aed745ab4b2c56b556c5c

Pith citing papers

No inbound Pith citation observations are available.