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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=sha256:1dd25c210de637f6351591bff12df2227119e12839b6b59ca3518079124f1921

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=sha256:33f4806c34a5c37cf94dd97e98cbb21f9faee1d7e3aadb42a20360fef06a9d97

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=sha256:627d5dd737e7950888b3117cf4d39b88bf231867de803dd0165d86287d2407cc

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=sha256:9e00ef815e060ea2cc86caf8d6f51bde3bb18cb052dbefe53523e6f790f58d34

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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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:a9cb7be91abb706608420ff7e867bf8e7d0fe55ad7011c56541efd369c1b724e

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=sha256:5de381649bb9cbf87ea7f3b8505458231b6055e902f6435c69e55097d5d8d236

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:ccd0fc2bb862961818a1f55b246c4a2e43f10eb859242ba7489efdd4222e6b4c

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=sha256:4cc076c6f918c708b1fa4cb1ed3b96fbe9a290957147f24d1eed2565f7fba8d3

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=sha256:603c3155e48541776153e147449ac2e45459845cbcbb83a9fd7c287be7306d38

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:ca3151ffe47e33d3a0f0d14b51f60f7d7af687ddabd72821fc8eebb7846b8124

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=sha256:430b6d0502e261c5032e776be327263bd9a01625e9de4b17016db7902f55694f

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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source=pdf_text observed=2026-08-07T15:09:26.876477Z digest=sha256:e39c6fd0eab82244aa731368ffe90f4cf294c84ab5b618943e304821a053744c

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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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=sha256:1385d92d6087b27352707ec7f55baace0735a94495da38a743e6cf8ac8311b00

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:e5276cb3263924a4050ae70b28f01977f18063016e87eacc21ec0dbf95249e20

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=sha256:2ee48ebc5f1094a1b3e00ca8d9d076db909bea760d7b585b925ba29fb7bd5ccd

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:ad24156252fb1ace7d989392fdf8a7ddf59194ff31dd3b9a4560cb59e3460686

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=sha256:4eefbcf9049e16baa16ce931d4f241019847938a93ef92466c37a3d3ef1649b7

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

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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=2026-08-07T15:09:27.833752Z digest=sha256:aff9e0ed25c042d481c39d87ddf4beab007e58adc48fd5457fa4daa145a0daa0

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=sha256:93cebef22610665b1c0473173548305eb2a35f0d78a333d303caae72627cf596

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:b69d7f098b12b7ba5077e08c2fdd10789db43813470952815bc4cd2cfde12cfb

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:fc64594dd5b4b580e422f6577b2f542d918e80e27ed494905819d55e9e8842d3

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:ff64f81b38488733a50131b93309fcf5dd37679f8b9f7d9e0941bac055ad692a

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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source=pdf_text observed=2026-08-07T15:09:28.498086Z digest=sha256:effc97f83d2cc7858c79254bc5d8c1090ab575c39fc475a288da871f55fb45bd

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=sha256:2b82faebfc0084b2a71dc9997a180c9c73582caa7a73bd5ceffdb4e8ca1513f5

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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raw_fallback, observed 2026-08-07T15:09:33.892461Z

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=sha256:6009e74a50a65ccc227f59dc25ee0aa31a59eda27ff448a0c7083ae0cd449147

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=sha256:703d27af17d9843f1cce876dda9ea91ce2db1b5d912c2b57700338d8c024afdd

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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verified fuzzy
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=sha256:0e8031fc2bdd5fc7e8589b8dd4fd8d57ee145ca5c18c93440f0baa36581d68cd

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=sha256:64a6e7c7f6ce07199a980d2ffd668e175b2b7ff6bd72b0975df2fde29f0ae1dd

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:f47d12697ba9c11fe2949137dd04cfe1a5f8dc77ee7583eb670a14625e0a0673

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=sha256:9c4523506b2550da01698c9223a5a40b863d46eb06dd7ccc8d6bda68e3877253

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:dcf11edaacec0913b40c052802c62542654e1704b4c09c35afbef5e9eac03526

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:dc2430f7454e28c3a6fe5fe85d5677aad351c651627d3e6265816621b1023bae

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=sha256:56351feb9346f10b287092675958477e72bcc0c0990e0f0afbe1bf1f05bfe18e

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.

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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:e485decaf10746b0e0e81d03de5fb8b1a07cb72057a7f6f739ef6ab49a68e84e

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:e7442eebabbdc28738735b45df7760f72da9a55fbefdf0520263b667cecbc78d

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:a8f4067200f645407187eeb54f3d88a3e36a356d893f05a659df81559839b6f7

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=sha256:2bf34b5545ea0f8f86a9710b28ac61c59de4a504be874b06ef42c5824ec1df71

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=sha256:7b5dfcaae72486a3aa8ca30b218062c875699267213d05ed639b9cd8b051c9b4

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=sha256:1758304ad8e0f1a1097da52606810e6ff9d5e0c70a0dae3b0c6288d1ae4704a1

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=sha256:4658778744656258a3bceb052840db5396c836dbe78626ff4d2d550ed828c847

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=sha256:4083ba553eaa7e59f7cb5e99fbfcfe1804b8667a1f08a21b45ef0e67470cb7f7

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:bf3003d43885a1a8f00a2fbc108ba460ecc06e54f411288ce8dbbe0e91c16d62

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:cf4ac5bcb54047d69424c3254487192ffdf2d5abae37b69a141dc998b882660b

Pith citing papers

No inbound Pith citation observations are available.