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Paper Citation Record · LEDGER

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers

As of 8 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2507.06517.

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

pith.paper-citation-record.v1
2507.06517 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:10:01.390805Z

measured 38 of 38 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

38 of 38 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved36
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2f23e687-b51d-4007-9a7d-c401816796f0 · outbound

This paper cites an unresolved cited work.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers Unresolved cited work

Reference 1

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source=arxiv_source observed=2026-08-06T19:10:01.141523Z digest=sha256:5ebe83883512dbcadd0bab6e171051a399c3efed614e5a05829e61664b108348

Observation dd74c056-2c14-4c44-8a9b-ab95831d2caf · outbound

This paper cites an unresolved cited work.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers Unresolved cited work

Reference 2

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source=arxiv_source observed=2026-08-06T19:10:01.149847Z digest=sha256:0f60ae41ed776a8f621aca92bfb87f0c842774d6b99a2491c29d9378f11506e8

Observation d2058252-854e-40fc-83a4-e0e736a0a99c · outbound

This paper cites an unresolved cited work.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers Unresolved cited work

Reference 3

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source=arxiv_source observed=2026-08-06T19:10:01.159355Z digest=sha256:ea512b7f60f5282b13cb88d43f6f3b2b1385140d160cddd7ae710c5de65e7766

Observation 909506b7-faec-4605-9ec8-43fbedf0c25a · outbound

This paper cites PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling

Reference 4

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source=arxiv_source observed=2026-08-06T19:10:01.168058Z digest=sha256:44f56b7f1556ae43d4d9b103af723ccf4b89170755c0303b90d97a3540dd143c

Observation 0948fccb-6ff9-4cde-894b-3291a937a64e · outbound

This paper cites The Llama 3 Herd of Models.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers The Llama 3 Herd of Models

Reference 5

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source=arxiv_source observed=2026-08-06T19:10:01.174335Z digest=sha256:e3b5ee7fdc408e1e1d3b16c71f157a4c6dba9f7766fa647bd09a09d886b9341e

Observation 18d9c572-7fdc-4e8b-bcc0-0d3fa60daa9b · outbound

This paper cites ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification

Reference 6

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source=arxiv_source observed=2026-08-06T19:10:01.179964Z digest=sha256:580a4294174b0d828c81adc343dacfb6ead363fb0b50160a0495d66b282cf614

Observation f927478e-2834-44c1-a324-84b6c04986a9 · outbound

This paper cites Mistral 7B.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers Mistral 7B

Reference 7

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source=arxiv_source observed=2026-08-06T19:10:01.187348Z digest=sha256:29c2623ad5e782a1743ef8358946367fcc80264b6e870d59e631c0d3a917c7a2

Observation a9a09754-ce12-4f78-a4eb-768cfbd703a5 · outbound

This paper cites an unresolved cited work.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers Unresolved cited work

Reference 8

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source=arxiv_source observed=2026-08-06T19:10:01.195409Z digest=sha256:46f5daeec0dfe5675e1abd316685bca3693cab7434acb5c0217a63ec2750675e

Observation cfa7e96e-266d-4d86-a1be-924418abc8ab · outbound

This paper cites SnapKV: LLM Knows What You are Looking for Before Generation.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers SnapKV: LLM Knows What You are Looking for Before Generation

Reference 9

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source=arxiv_source observed=2026-08-06T19:10:01.203208Z digest=sha256:b87c28af133757d2322e159a5d8042178560ee4ffb5556aafa17050e0d513fa9

Observation 338b3950-8251-4c0f-99be-28abbd3377f5 · outbound

This paper cites MiniCache: KV Cache Compression in Depth Dimension for Large Language Models.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers MiniCache: KV Cache Compression in Depth Dimension for Large Language Models

Reference 10

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source=arxiv_source observed=2026-08-06T19:10:01.211946Z digest=sha256:37f4a5e8bf1faa44e810fbf77306bab5ea3b0f7594c066e3b1a67fde5377d7de

Observation 9fdba2e3-31ff-42f0-8175-5110e941edf5 · outbound

This paper cites an unresolved cited work.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers Unresolved cited work

Reference 11

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source=arxiv_source observed=2026-08-06T19:10:01.219768Z digest=sha256:ba78b7d49728408f187770a242fa7bafe1819e2374e4b8a6adaee48c1afb320d

Observation c95eb433-c79e-41b0-ad08-0d5889a4ebb0 · outbound

This paper cites Model Hemorrhage and the Robustness Limits of Large Language Models.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers Model Hemorrhage and the Robustness Limits of Large Language Models

Reference 12

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source=arxiv_source observed=2026-08-06T19:10:01.234102Z digest=sha256:8e93d8e41c2922915d5eb5525c085824eaa59d5b06859ce65b396df4b5dd6191

Observation d6de484d-3952-42d4-bd55-90adf7f0a6a8 · outbound

This paper cites GPT-4 Technical Report.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers GPT-4 Technical Report

Reference 13

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source=arxiv_source observed=2026-08-06T19:10:01.240080Z digest=sha256:757785af268bd80839887ab0253f8a80598e906513426fbb5265a20f45eaf9cd

Observation cedb03dc-0ed5-417f-b6fe-93a3f06cca24 · outbound

This paper cites Code Llama: Open Foundation Models for Code.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers Code Llama: Open Foundation Models for Code

Reference 14

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source=arxiv_source observed=2026-08-06T19:10:01.245546Z digest=sha256:03d261d988760ca8af063bb12504a61c7d5d15762133ac955919ebd699e9cc8b

Observation 5d68095d-1839-48b6-bb9b-f6b7f9013ff1 · outbound

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

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers Fast Transformer Decoding: One Write-Head is All You Need

Reference 15

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source=arxiv_source observed=2026-08-06T19:10:01.252625Z digest=sha256:0a92fb9f042ae793ffc23eba8b6a4f242246e12a53d164c46646a3cea47a34be

Observation 66924c83-215c-41d0-b708-5ffa2f2154c6 · outbound

This paper cites an unresolved cited work.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers Unresolved cited work

Reference 16

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source=arxiv_source observed=2026-08-06T19:10:01.259075Z digest=sha256:99e0ea4931901b4360833ec4c1547f4212bcd9c1bd407f33d0e883a4bf2ce338

Observation 3052772c-d3e2-4298-a07d-dbd0d9d2fce4 · outbound

This paper cites an unresolved cited work.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers Unresolved cited work

Reference 17

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source=arxiv_source observed=2026-08-06T19:10:01.266524Z digest=sha256:8ac7d43a0924586bc8ca32a6a439d555332c9ddb3af83abd3237758ca3b80893

Observation 34f513a7-45ee-4117-9607-8b2ff82b929e · outbound

This paper cites Keep the Cost Down: A Review on Methods to Optimize LLM' s KV-Cache Consumption.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers Keep the Cost Down: A Review on Methods to Optimize LLM' s KV-Cache Consumption

Reference 18

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source=arxiv_source observed=2026-08-06T19:10:01.272177Z digest=sha256:8ceeb492b0051d36058191f6535916979a11d1ce40d6a4c72e5b1e481ce058b7

Observation a16d05fe-7f1f-41ff-bfe8-b04508726fb9 · outbound

This paper cites AsymKV: Enabling 1-Bit Quantization of KV Cache with Layer-Wise Asymmetric Quantization Configurations.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers AsymKV: Enabling 1-Bit Quantization of KV Cache with Layer-Wise Asymmetric Quantization Configurations

Reference 19

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source=arxiv_source observed=2026-08-06T19:10:01.279099Z digest=sha256:1ac75d83947b6bedf821c3e061c09a420387a89c0fb870f479ed3a25aaa38df9

Observation a5583f0b-12c2-4186-8b24-9606c559e13f · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 20

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source=arxiv_source observed=2026-08-06T19:10:01.285988Z digest=sha256:fe983a973316e37e746c5d23e1604da81c2f3c868ca76fe74e757f0f3afefb23

Observation e7596169-23e7-4742-955b-2e4a21a5c4fa · outbound

This paper cites D2O: Dynamic Discriminative Operations for Efficient Long-Context Inference of Large Language Models.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers D2O: Dynamic Discriminative Operations for Efficient Long-Context Inference of Large Language Models

Reference 21

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source=arxiv_source observed=2026-08-06T19:10:01.293262Z digest=sha256:1066e01e4ec60ddd7427cbdae0431446bdc235deeb53eefc0c30c699c4316ed2

Observation dd288fb9-7a4b-4fb8-b39a-a5dab284f6bb · outbound

This paper cites Model Tells You Where to Merge: Adaptive KV Cache Merging for LLMs on Long-Context Tasks.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers Model Tells You Where to Merge: Adaptive KV Cache Merging for LLMs on Long-Context Tasks

Reference 22

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source=arxiv_source observed=2026-08-06T19:10:01.298502Z digest=sha256:28b9f36829018e507122a754f1feaf60226a7b777e154984fa2e315416a6b4df

Observation 12ddd718-c7ce-4e1d-aa7f-fba1157d9910 · outbound

This paper cites Chi, Quoc V.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers Chi, Quoc V

Reference 23

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source=arxiv_source observed=2026-08-06T19:10:01.304251Z digest=sha256:5950e3faa4e55f062d9e0b40d935b8cc1ddf17d46bbd427f4eb1a7a3ad953c0a

Observation 598a83f7-34fb-43d5-9443-2987dcd35c1d · outbound

This paper cites an unresolved cited work.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers Unresolved cited work

Reference 24

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source=arxiv_source observed=2026-08-06T19:10:01.311005Z digest=sha256:fd9169c38ca44f9e90d2e26c6868243aeb13b6df6049dcef588b73de1f10bae6

Observation ac18d532-b1fb-41e0-bca9-3365bec40329 · outbound

This paper cites an unresolved cited work.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers Unresolved cited work

Reference 25

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source=arxiv_source observed=2026-08-06T19:10:01.316923Z digest=sha256:e29ddd4dc659c79384d849e1558aa3c1372ab4c9de0f4e516b84dd110025e5f9

Observation 62fb2d66-e718-45ca-931f-b3977f2d1a89 · outbound

This paper cites Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement

Reference 26

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source=arxiv_source observed=2026-08-06T19:10:01.321670Z digest=sha256:a7b7a3960dcd4dc53665795d10133814eeef2d1c13b7b0951847d7302d274846

Observation cc068d4b-028d-4e40-aeb8-fa23a8cb2e7f · outbound

This paper cites an unresolved cited work.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers Unresolved cited work

Reference 27

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source=arxiv_source observed=2026-08-06T19:10:01.327165Z digest=sha256:29a81993deb78bce49fbccc3a3a819483858128170ad275cfcba61ea7551bcc4

Observation e3b232ec-8ee1-41d4-bc37-ec79c6e23609 · outbound

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

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers No Token Left Behind: Reliable KV Cache Compression via Importance-Aware Mixed Precision Quantization

Reference 28

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source=arxiv_source observed=2026-08-06T19:10:01.332282Z digest=sha256:46a77873eaf6d89cd46e9e73aa845049fa0d5553d26544f52bab6b6d02ba22b0

Observation 8b3b2c85-1c67-4692-8799-445c095d568e · outbound

This paper cites BatGPT-Chem: A Foundation Large Model For Retrosynthesis Prediction.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers BatGPT-Chem: A Foundation Large Model For Retrosynthesis Prediction

Reference 29

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source=arxiv_source observed=2026-08-06T19:10:01.337858Z digest=sha256:18d6b678c16ad357d18517b011c080f172af7cfc64295801b314b47744f46097

Observation 07873f95-ec27-4261-9456-7458ae1c2872 · outbound

This paper cites an unresolved cited work.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers Unresolved cited work

Reference 30

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Observation c0dc3682-d4ee-42ea-bc80-c6e869a2ab90 · outbound

This paper cites an unresolved cited work.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers Unresolved cited work

Reference 31

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source=arxiv_source observed=2026-08-06T19:10:01.347645Z digest=sha256:924fc74d5271b434582a9e0e6c75f525dc2a641c3a14e4ae1557f749855238ca

Observation 27186367-5797-4737-961a-b045ba22433b · outbound

This paper cites an unresolved cited work.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers Unresolved cited work

Reference 32

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source=arxiv_source observed=2026-08-06T19:10:01.352699Z digest=sha256:a02d7491bde3e85b7daa9ed338994850beb02a78df021bf4b117a41b29263745

Observation a4760a97-6ed4-440c-a581-008cf9b4c222 · outbound

This paper cites an unresolved cited work.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers Unresolved cited work

Reference 33

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source=arxiv_source observed=2026-08-06T19:10:01.359336Z digest=sha256:25fed6f9f726cfac208d205b27bf06304c59f8c82283b1d4486da14287944946

Observation 881219f6-dd4c-46bd-bba7-279f8ef78d02 · outbound

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

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers OPT: Open Pre-trained Transformer Language Models

Reference 34

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source=arxiv_source observed=2026-08-06T19:10:01.365544Z digest=sha256:a6dbe2c62d7154af47bfe419b5c019f938e769729d7c9fce658abc238d522f61

Observation 6fb9500a-4b9b-43bd-b9e4-c8d4a40a5711 · outbound

This paper cites an unresolved cited work.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers Unresolved cited work

Reference 35

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source=arxiv_source observed=2026-08-06T19:10:01.371495Z digest=sha256:bd2e433cc78dd98ef13ecf377764fdc354232c2fe318cbfd4d88bde5b41823d9

Observation 2a58ea80-198c-4d79-91a5-87f34443b4d2 · outbound

This paper cites Barrett, Zhangyang Wang, and Beidi Chen.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers Barrett, Zhangyang Wang, and Beidi Chen

Reference 36

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source=arxiv_source observed=2026-08-06T19:10:01.377937Z digest=sha256:83fbe0c32f6187a832ed6bdc514822740b1dad8e46f3b5daad5cbee588a78810

Observation 17425d81-1528-4a3d-b696-ece85a124c6f · outbound

This paper cites online" 'onlinestring :=.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers online" 'onlinestring :=

Reference 37

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source=arxiv_source observed=2026-08-06T19:10:01.384792Z digest=sha256:e86eb87e48a3a1774b5d7c870a5a0563845f124a1d485bdf615400d08d7de991

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SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers write newline

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