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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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:09:25.383178Z digest=sha256:3dd60fd0a7e1bfd36e667815b69052bd5a54e9651a83a2a256d02279390ba7c0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:09:25.915747Z digest=sha256:27946275650c0a7cf1b9aaf397409904ef89ae0a6ba501152e333a01e7bff2b4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:09:26.349764Z digest=sha256:4a37bd7a53a4afbf8ab5d16568d50b2bcedc0580dedea19af49ed8d00627b85e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:09:26.736297Z digest=sha256:ff33ee76c09dd8a56bf0e230ed49f6f2f0ebefea97431fee30b6303cb9d0a39e

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=sha256:4fdce5e20fe9611c66f5d716f5de7c2395370b794803635e4a5e0bd4fd30026e

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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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:09:27.128510Z digest=sha256:f6a573b3840c3e8391ebede607015e8d51b8def2e87ef3cbf946cd51c2187490

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:09:27.306399Z digest=sha256:380de2d587fcd1b3fcbf7b0fc665b5f96e6c54b19a8d3622c8b2bf774c16182d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:09:27.463815Z digest=sha256:993d27f5949e428e4ee43087de9d54482a96916010cb73e3f88c250cf37a998c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:09:27.586423Z digest=sha256:2cea9d4e20730ebe1ba32081a77f001a2f389a9528f8d34d9d02587cfb9514d8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:09:27.833752Z digest=sha256:c874d5c768628f84790146b8665c5d9c3efd63d249a2cb13f45d65d537be1c3a

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

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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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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:09:28.845668Z digest=sha256:41c18b7aa8a72da2ecb485b11aa5b0c0b88e96cc4ab5218da66a36fb90e8c397

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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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:09:29.268005Z digest=sha256:56ae231f724127ee3ec955d37266c19ef7e6732ffcc8f55141f7051d113f2354

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:09:29.456483Z digest=sha256:d18fbdc8b2342e483c1885cbc0b17dc772053fb17ac7422c826273a75288f985

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:09:29.592541Z digest=sha256:308d62648bb6dd040b26c7f08c06d445b51dbd2612c2d56c2d1f00c7916c7ea2

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:09:29.895959Z digest=sha256:bb5c929bb8f76acebcb77495dc2b97f7d21bfcbef36623784af48702bdb580f0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:09:30.084876Z digest=sha256:7439708089e4c802f541312f2e481ec63533ae177cdd879545bb15d331edd4f5

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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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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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:09:30.397033Z digest=sha256:90b016ea2e14f1589ee9d843e60fbfe38c8a58d85aa1c6cb5e7ab85affbdc547

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:09:30.567861Z digest=sha256:d9e9bd18d3d2ddd19a6b7579712ad89a84fec9e062d3caeb0be2c1f85c35b32a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:09:30.701313Z digest=sha256:e002b1bc83431adc59597907cb2803a4f05f8bdf27a2d46eb603554bb125d4b6

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:09:31.116697Z digest=sha256:13379afe866a6db96511dd693f9dc959f55773526558454ebba3b1d9f92ef428

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:09:25.239920Z digest=sha256:9726b494af9ca8fa0fd4c0f0c362953dcef35e669aa7724abce9b3a97307b371

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:09:26.997842Z digest=sha256:b5589010cd0fe0ce7b79bb6982eb12bbbe5663d91b292af355813c58cd10485c

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.