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Paper Citation Record · LEDGER

KAP: Bridging the Knowledge Selection-Runtime Consumption Gap in LLM Systems

As of 15 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2607.24260.

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

pith.paper-citation-record.v1
2607.24260 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T19:52:42.384440Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

26 of 26 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved26
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4f0ae3fc-641e-4237-8f66-2e15b7e33d97 · outbound

This paper cites From Local to Global: A Graph RAG Approach to Query-Focused Summarization.

KAP: Bridging the Knowledge Selection-Runtime Consumption Gap in LLM Systems From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T19:52:40.416031Z digest=sha256:3ea440a09149c36244e65ec2b0130045dbe9247c04836efb057a81dfa6a7c80f

Observation 34347e60-cbd2-40fc-8644-63b2e00726cf · outbound

This paper cites Yichao Fu, Peter Bailis, Ion Stoica, and Hao Zhang.

KAP: Bridging the Knowledge Selection-Runtime Consumption Gap in LLM Systems Yichao Fu, Peter Bailis, Ion Stoica, and Hao Zhang

Reference 7

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source=pdf_text observed=2026-07-31T19:52:40.492702Z digest=sha256:1a4da2e974891195b9ad84399ab35bd328307a697acb2edbf8c2ae724f6c34c0

Observation cfb1070d-3e61-4d60-8d5d-1a763a6b9243 · outbound

This paper cites Break the Sequential Dependency of LLM Inference Using Lookahead Decoding.

KAP: Bridging the Knowledge Selection-Runtime Consumption Gap in LLM Systems Break the Sequential Dependency of LLM Inference Using Lookahead Decoding

Reference 8

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source=pdf_text observed=2026-07-31T19:52:40.513351Z digest=sha256:e454931b9f5054e2dad0f938b5aee90911ddc0081de391dc2cd757aba372e64a

Observation 8f387e1f-e50b-47f9-88e7-abfa0bf8fff3 · outbound

This paper cites MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention.

KAP: Bridging the Knowledge Selection-Runtime Consumption Gap in LLM Systems MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T19:52:40.866676Z digest=sha256:945ba31f44ef37dc4d0bb22cfd7a0287157c97b02b1a72456f704e59f3ecd976

Observation e0fba4fa-d97a-4697-8d0d-772e88700e21 · outbound

This paper cites RAGO: Systematic Performance Optimization for Retrieval-Augmented Generation Serving.

KAP: Bridging the Knowledge Selection-Runtime Consumption Gap in LLM Systems RAGO: Systematic Performance Optimization for Retrieval-Augmented Generation Serving

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T19:52:41.036453Z digest=sha256:a8ea61c0d8d70a505a82019b48a257fa05f969a0af61c3ab965e538653fee8c9

Observation b7ad40f3-f234-414a-9187-aa54b68363f6 · outbound

This paper cites HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models.

KAP: Bridging the Knowledge Selection-Runtime Consumption Gap in LLM Systems HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T19:52:41.198924Z digest=sha256:902ec76097375de6c0bf7fb27104fd13be49e7397af50881a93beaf44575984f

Observation e82ca0f9-5e10-4282-8839-84d60ebae099 · outbound

This paper cites RAGCache: Efficient Knowledge Caching for Retrieval-Augmented Generation.

KAP: Bridging the Knowledge Selection-Runtime Consumption Gap in LLM Systems RAGCache: Efficient Knowledge Caching for Retrieval-Augmented Generation

Reference 13

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T19:52:41.311484Z digest=sha256:d7720ca8c8e4057db185d5e6f5afce2111f7818cf917b9e83dde61a33ed877af

Observation 6c3693d2-6bc8-4e24-bd51-c0a684580705 · outbound

This paper cites Yaniv Leviathan, Matan Kalman, and Yossi Matias.

KAP: Bridging the Knowledge Selection-Runtime Consumption Gap in LLM Systems Yaniv Leviathan, Matan Kalman, and Yossi Matias

Reference 15

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source=pdf_text observed=2026-07-31T19:52:41.581564Z digest=sha256:9c238baacde3fb2d4e9b63dad151bd97129d82515b7316e4223570977070c5ed

Observation 0ec26a91-76f4-4783-adf2-ff458a971912 · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

KAP: Bridging the Knowledge Selection-Runtime Consumption Gap in LLM Systems Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 16

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source=pdf_text observed=2026-07-31T19:52:41.696779Z digest=sha256:21086cec12404f2a7afd4bfb1536352affac01f6e2571b06a419c53d3033ed61

Observation f74a3802-9cce-4e40-9636-bc42af1ea502 · outbound

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

KAP: Bridging the Knowledge Selection-Runtime Consumption Gap in LLM Systems SnapKV: LLM Knows What You are Looking for Before Generation

Reference 17

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T19:52:41.850581Z digest=sha256:296f53c00ea526037ea86de6113f320e33696f926c1ca024dcaae3ac80353151

Observation e18389ed-4d33-43e7-8afe-8a5b3dc9a772 · outbound

This paper cites Songshuo Lu, Hua Wang, Yutian Rong, Zhi Chen, and Yaohua Tang.

KAP: Bridging the Knowledge Selection-Runtime Consumption Gap in LLM Systems Songshuo Lu, Hua Wang, Yutian Rong, Zhi Chen, and Yaohua Tang

Reference 18

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T19:52:42.016565Z digest=sha256:798731aff9636fc100a256e6e5496138829c93035df5950f3837022a0015b258

Observation 62ef5918-1bb6-4586-933e-4da46e1d321c · outbound

This paper cites an unresolved cited work.

KAP: Bridging the Knowledge Selection-Runtime Consumption Gap in LLM Systems Unresolved cited work

Reference 19

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source=pdf_text observed=2026-07-31T19:52:42.120942Z digest=sha256:3cf4902525defccc13c5e6ac2461cbf8bbf55307636271d75dcb0a3d6c7fc581

Observation 6d5067ba-5810-409b-a479-a91571cfe6b7 · outbound

This paper cites 18 Reiner Pope, Sholto Douglas, Aakanksha Chowdhery, Jacob Devlin, James Bradbury, Anselm Levskaya, Jonathan Heek, Kefan Xiao, Shivani Agrawal, and Jeff Dean.

KAP: Bridging the Knowledge Selection-Runtime Consumption Gap in LLM Systems 18 Reiner Pope, Sholto Douglas, Aakanksha Chowdhery, Jacob Devlin, James Bradbury, Anselm Levskaya, Jonathan Heek, Kefan Xiao, Shivani Agrawal, and Jeff Dean

Reference 20

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no resolver link, observed 2026-07-31T19:52:42.272398Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T19:52:42.272398Z digest=sha256:336432a952bfcd041af5b17fa803d76a5583eade8bf5e1c6f2b111d2cb14a362

Observation 9bcae3a8-d910-4835-b8d0-a087730dd323 · outbound

This paper cites Efficiently Scaling Transformer Inference.

KAP: Bridging the Knowledge Selection-Runtime Consumption Gap in LLM Systems Efficiently Scaling Transformer Inference

Reference 21

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source=pdf_text observed=2026-07-31T19:52:42.278984Z digest=sha256:bd5d80313a9a3e834a38a0dea3190c85c4481d93d440b2e8b87cf9e611253c81

Observation 3619d673-6479-49fb-9d44-0689df73651f · outbound

This paper cites Hanshi Sun, Zhuoming Chen, Xinyu Yang, Yuandong Tian, and Beidi Chen.

KAP: Bridging the Knowledge Selection-Runtime Consumption Gap in LLM Systems Hanshi Sun, Zhuoming Chen, Xinyu Yang, Yuandong Tian, and Beidi Chen

Reference 22

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source=pdf_text observed=2026-07-31T19:52:42.353442Z digest=sha256:fb022f8fb4adddca1ef0ad1dad710a528ac094c605f2cb41e17ba3c435903c9e

Observation a50d6cf9-b693-4e7b-91d3-d5727e8a9b0a · outbound

This paper cites TriForce: Lossless Acceleration of Long Sequence Generation with Hierarchical Speculative Decoding.

KAP: Bridging the Knowledge Selection-Runtime Consumption Gap in LLM Systems TriForce: Lossless Acceleration of Long Sequence Generation with Hierarchical Speculative Decoding

Reference 23

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no resolver link, observed 2026-07-31T19:52:42.358155Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T19:52:42.358155Z digest=sha256:b2be6b90a600fbe6fd96ea7264e27761ffbe257eb65014ca4194bae4e778a522

Observation 16a525e8-1aba-45a8-af54-8183b70d9084 · outbound

This paper cites Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference.

KAP: Bridging the Knowledge Selection-Runtime Consumption Gap in LLM Systems Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference

Reference 24

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source=pdf_text observed=2026-07-31T19:52:42.362436Z digest=sha256:929cbac20ee98ac02f9ea052743eac61480e795465bcab3047b6b5e8a0eaa39d

Observation 5497a91d-d0c0-4572-ae55-5b44db2e9162 · outbound

This paper cites Efficient Streaming Language Models with Attention Sinks.

KAP: Bridging the Knowledge Selection-Runtime Consumption Gap in LLM Systems Efficient Streaming Language Models with Attention Sinks

Reference 25

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source=pdf_text observed=2026-07-31T19:52:42.366932Z digest=sha256:e61f950efc9e4f646743c9a534d39d8fc67d5f0cfa07908c10df77f064460df3

Observation c5bce959-286f-43d6-9b94-cf8c4e1fa9b2 · outbound

This paper cites CacheBlend: Fast Large Language Model Serving for RAG with Cached Knowledge Fusion.

KAP: Bridging the Knowledge Selection-Runtime Consumption Gap in LLM Systems CacheBlend: Fast Large Language Model Serving for RAG with Cached Knowledge Fusion

Reference 27

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source=pdf_text observed=2026-07-31T19:52:42.375553Z digest=sha256:41384150eb56c6c6c267862915026423f1d5de37bfc4ec82ce142271e626ebb6

Observation e8c939d8-4bd1-4484-ab15-52c782c9758d · outbound

This paper cites H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.

KAP: Bridging the Knowledge Selection-Runtime Consumption Gap in LLM Systems H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models

Reference 28

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source=pdf_text observed=2026-07-31T19:52:42.379821Z digest=sha256:4efa129775aef2b87c5f4cddbc983a3ae40da2829cc14e249f95ab8de06cf1e1

Observation f73a46d3-3366-4c66-a6c8-93850b5d0c9a · outbound

This paper cites SGLang: Efficient Execution of Structured Language Model Programs.

KAP: Bridging the Knowledge Selection-Runtime Consumption Gap in LLM Systems SGLang: Efficient Execution of Structured Language Model Programs

Reference 29

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source=pdf_text observed=2026-07-31T19:52:42.384440Z digest=sha256:186f60af30b9b490838c664ad8a51830534b70d9bf34ffd302aa242fbcbb84b0

Observation f0325d77-2ceb-4a11-ad67-ed19ac16a81b · outbound

This paper cites Woosuk Kwon, Zhuohan Li, Siyuan Zhuang, Ying Sheng, Lianmin Zheng, Cody Hao Yu, Joseph Gonzalez, Hao Zhang, and Ion Stoica.

KAP: Bridging the Knowledge Selection-Runtime Consumption Gap in LLM Systems Woosuk Kwon, Zhuohan Li, Siyuan Zhuang, Ying Sheng, Lianmin Zheng, Cody Hao Yu, Joseph Gonzalez, Hao Zhang, and Ion Stoica

Reference 2020

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source=pdf_text observed=2026-07-31T19:52:41.414223Z digest=sha256:9821870294bf783672d044d68e0afb43c08d077ded5562c6651fdb1849100347

Observation d1a744c7-5f3e-4852-a7eb-545009321d18 · outbound

This paper cites Huiqiang Jiang, Qianhui Wu, Chin-Yew Lin, Yuqing Yang, and Lili Qiu.

KAP: Bridging the Knowledge Selection-Runtime Consumption Gap in LLM Systems Huiqiang Jiang, Qianhui Wu, Chin-Yew Lin, Yuqing Yang, and Lili Qiu

Reference 2021

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no resolver link, observed 2026-07-31T19:52:40.623478Z

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source=pdf_text observed=2026-07-31T19:52:40.623478Z digest=sha256:9083ce4804617c38df200ea50ae7bd8313673304c506f3d5ddbe18ef85dffc86

Observation 843ab9aa-e843-44b6-93ca-3270e81d077d · outbound

This paper cites Neutrino Production via $e^-e^+$ Collision at $Z$-boson Peak.

KAP: Bridging the Knowledge Selection-Runtime Consumption Gap in LLM Systems Neutrino Production via $e^-e^+$ Collision at $Z$-boson Peak

Reference 2022

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source=pdf_text observed=2026-07-31T19:52:40.082832Z digest=sha256:790413ff4a67962179d11e94e67c7684b337d19d385695f4a82b3caf4d393c0a

Observation 4e223952-5305-451c-8b88-2c7a710f2c02 · outbound

This paper cites Accelerating Large Language Model Decoding with Speculative Sampling.

KAP: Bridging the Knowledge Selection-Runtime Consumption Gap in LLM Systems Accelerating Large Language Model Decoding with Speculative Sampling

Reference 2023

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T19:52:40.288142Z digest=sha256:f97bf6fea99ff3f3c509aa866929a97a40493fd844d6633574a6e4290287b6ba

Observation 0456cfa6-5983-491f-a644-272d4674dd63 · outbound

This paper cites Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads.

KAP: Bridging the Knowledge Selection-Runtime Consumption Gap in LLM Systems Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads

Reference 2024

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source=pdf_text observed=2026-07-31T19:52:40.163554Z digest=sha256:c1ce3cff18e971a2fde445ffa0754eca177c1ee436448dafef0963fa071cde07

Pith citing papers

No inbound Pith citation observations are available.