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Paper Citation Record · LEDGER

Workload-Aware Caching for Multi-Agent Systems

As of 7 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2607.20495.

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

pith.paper-citation-record.v1
2607.20495 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T11:23:00.475610Z

measured 41 of 41 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

41 of 41 outbound references displayed

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  • verified fuzzy0
  • unresolved41
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 929236fa-a99b-4695-9162-c38c21a8de79 · outbound

This paper cites SWE-bench: Can language models resolve real- world github issues?.

Workload-Aware Caching for Multi-Agent Systems SWE-bench: Can language models resolve real- world github issues?

Reference 1

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source=pdf_text observed=2026-08-02T11:22:56.244902Z digest=sha256:57ceb4a864b10a6f29217eb60054ed72650d61d0c4ae761895ee1b6d327dfe8f

Observation 7d4107bf-4e3e-48a7-8c5b-39d3d9c2eece · outbound

This paper cites Aiopslab: A holistic framework for evaluating ai agents for enabling autonomous cloud,.

Workload-Aware Caching for Multi-Agent Systems Aiopslab: A holistic framework for evaluating ai agents for enabling autonomous cloud,

Reference 2

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source=pdf_text observed=2026-08-02T11:22:56.323738Z digest=sha256:484711c7ace69ef2106a346d64e1673f97a9d1ecacf5d32d9e34181dd5aa25ad

Observation 5def4b6b-1ca8-4ebe-ab25-d1e3d5cc24f7 · outbound

This paper cites The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery.

Workload-Aware Caching for Multi-Agent Systems The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery

Reference 3

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source=pdf_text observed=2026-08-02T11:22:56.388148Z digest=sha256:4fb14c0eb12910ea4d1b56917dacec13aef2cf5f456b3c3e5fdc9ef940b49b8b

Observation 50d6676c-1960-47a3-a93b-3a5d5c23f305 · outbound

This paper cites The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search.

Workload-Aware Caching for Multi-Agent Systems The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search

Reference 4

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source=pdf_text observed=2026-08-02T11:22:56.497764Z digest=sha256:4ada7aaaa46fa5a88527d6c146823fce62e6ac9163a6e949ae30baa5a5f3767c

Observation 8a747cde-1bdf-4960-8215-318906cf4cd9 · outbound

This paper cites React: Synergizing reasoning and acting in language models,.

Workload-Aware Caching for Multi-Agent Systems React: Synergizing reasoning and acting in language models,

Reference 5

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source=pdf_text observed=2026-08-02T11:22:56.575077Z digest=sha256:09f2b9f1dece19f82caba5dd675eaa8c105d9b4ed66af3d888f9adffdc5307b3

Observation 90061d91-f8a1-4ad9-b68b-4397ec455986 · outbound

This paper cites A survey on large language model based autonomous agents,.

Workload-Aware Caching for Multi-Agent Systems A survey on large language model based autonomous agents,

Reference 6

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source=pdf_text observed=2026-08-02T11:22:56.675764Z digest=sha256:eba90eb69cc88a3b44b24082b70fe5d2c3dfa37a4049108a6f02995a2e418cdc

Observation 85b5b12b-36e8-4b0b-ab69-02ab238a07b0 · outbound

This paper cites Efficient Inference for Large Reasoning Models: A Survey.

Workload-Aware Caching for Multi-Agent Systems Efficient Inference for Large Reasoning Models: A Survey

Reference 7

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source=pdf_text observed=2026-08-02T11:22:56.753787Z digest=sha256:8c38636dfbe811e25571fe9ba50337c2d2bc7cc28c89b58583adb78f2fc45dd6

Observation 3405c3e0-4a79-4b3d-9bf2-ad2f27e3fbb3 · outbound

This paper cites Attention is all you need,.

Workload-Aware Caching for Multi-Agent Systems Attention is all you need,

Reference 8

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source=pdf_text observed=2026-08-02T11:22:56.818911Z digest=sha256:83998ce16c7cb607d5d96d718602ebae9454e9acc5f5370702658df1ad0d6bfe

Observation f7a1abed-baae-4dc3-bca2-14da69c7c662 · outbound

This paper cites Efficient memory management for large language model serving with pagedattention,.

Workload-Aware Caching for Multi-Agent Systems Efficient memory management for large language model serving with pagedattention,

Reference 9

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source=pdf_text observed=2026-08-02T11:22:56.880620Z digest=sha256:d97e713f4738dcad00824601cc5f1a3bdd7a93b96d531f6345864c72a0ce35be

Observation 49f31b2d-98e7-4fac-9407-2043cfe631bd · outbound

This paper cites SGLang: Efficient execution of structured language model programs,.

Workload-Aware Caching for Multi-Agent Systems SGLang: Efficient execution of structured language model programs,

Reference 10

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source=pdf_text observed=2026-08-02T11:22:56.950669Z digest=sha256:415ab24c651038404774989b0175d81c7f907deb9b427f8fed337b6e055d1c14

Observation bd742d16-48fb-4143-9404-57f04d3397a2 · outbound

This paper cites KVFlow: Efficient Prefix Caching for Accelerating LLM-Based Multi-Agent Workflows.

Workload-Aware Caching for Multi-Agent Systems KVFlow: Efficient Prefix Caching for Accelerating LLM-Based Multi-Agent Workflows

Reference 11

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source=pdf_text observed=2026-08-02T11:22:57.020958Z digest=sha256:2233603c4bbfc9b9f18b94b884a5af4f75fc816d1fa5273a4a6cfa439e131511

Observation 2051d56d-0e40-4490-bb31-e527fbc1032e · outbound

This paper cites KVCOMM: Online cross-context KV-cache communication for efficient LLM-based multi-agent systems,.

Workload-Aware Caching for Multi-Agent Systems KVCOMM: Online cross-context KV-cache communication for efficient LLM-based multi-agent systems,

Reference 12

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source=pdf_text observed=2026-08-02T11:22:57.090168Z digest=sha256:a7322de1800910787009f2c14103500a848ba2ab12a082d1f278f2da98bbc175

Observation 4cea82c2-b216-4db5-9c8a-7d1847b8794e · outbound

This paper cites GPTCache: An open-source semantic cache for LLM applications enabling faster answers and cost savings,.

Workload-Aware Caching for Multi-Agent Systems GPTCache: An open-source semantic cache for LLM applications enabling faster answers and cost savings,

Reference 13

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source=pdf_text observed=2026-08-02T11:22:57.161637Z digest=sha256:ae24812c9b1b90df9fe649b7fafefd63f1722563da05bf0e3d36c90d97512c5c

Observation 7aa66d5f-b2f7-4a5a-9352-8a7667b76e68 · outbound

This paper cites Billion-scale similarity search with GPUs,.

Workload-Aware Caching for Multi-Agent Systems Billion-scale similarity search with GPUs,

Reference 14

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source=pdf_text observed=2026-08-02T11:22:57.219423Z digest=sha256:503d8e53b7931d1fb9a5f57ef62a132e8b4b80d248d293a598b552c1c1d4016e

Observation 32ac36b4-b2b6-40ba-8ce0-2473484ad29f · outbound

This paper cites Cortex: Achieving low-latency, cost-efficient remote data access for llm via semantic-aware knowledge caching,.

Workload-Aware Caching for Multi-Agent Systems Cortex: Achieving low-latency, cost-efficient remote data access for llm via semantic-aware knowledge caching,

Reference 15

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source=pdf_text observed=2026-08-02T11:22:57.381659Z digest=sha256:71f389e9ce9b2525493b49a5591724fb8325498eec800aa787ef8a2173311ce9

Observation 0d6c4385-9bf7-473c-9e70-4ea0ff94bb21 · outbound

This paper cites Agentic plan caching: Test- time memory for fast and cost-efficient LLM agents,.

Workload-Aware Caching for Multi-Agent Systems Agentic plan caching: Test- time memory for fast and cost-efficient LLM agents,

Reference 16

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source=pdf_text observed=2026-08-02T11:22:57.453149Z digest=sha256:4d56fbb4b015c6a016ab9fc4a2fd847e927aaa480957208a5a09814a1d653593

Observation 1e81c84c-8d48-4e90-b085-c25c0b521bbc · outbound

This paper cites Semanticalli: Caching reasoning, not just responses, in agentic systems,.

Workload-Aware Caching for Multi-Agent Systems Semanticalli: Caching reasoning, not just responses, in agentic systems,

Reference 17

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source=pdf_text observed=2026-08-02T11:22:57.523453Z digest=sha256:991f1714642b3c79ad38983ab15422034f631f3ec14d3aec80cfb035e4b1d73c

Observation fbbfc3a4-a13a-485c-8f27-5ed4be2e024b · outbound

This paper cites Lrc: Dependency-aware cache management for data analytics clusters,.

Workload-Aware Caching for Multi-Agent Systems Lrc: Dependency-aware cache management for data analytics clusters,

Reference 18

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source=pdf_text observed=2026-08-02T11:22:57.708196Z digest=sha256:1b12594a00d8476ba4cd914db4040b3d2e210dbfe9803c3e7ae9184d05b73744

Observation ea4c7af5-5500-4db9-aaa6-7002102504cb · outbound

This paper cites Resilient distributed datasets: A {fault-tolerant}abstraction for{in-memory}cluster computing,.

Workload-Aware Caching for Multi-Agent Systems Resilient distributed datasets: A {fault-tolerant}abstraction for{in-memory}cluster computing,

Reference 19

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source=pdf_text observed=2026-08-02T11:22:57.823282Z digest=sha256:938ee0b938226625803ff2999aea0a69fe7014207709e426495d09b31bfa74bf

Observation 33598cc5-f8d4-4797-9b12-33ea4034a3aa · outbound

This paper cites Lerc: Coordinated cache management for data-parallel systems,.

Workload-Aware Caching for Multi-Agent Systems Lerc: Coordinated cache management for data-parallel systems,

Reference 20

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source=pdf_text observed=2026-08-02T11:22:57.938531Z digest=sha256:53186080df834dedc585a42750ee555a852901f02b73247261a1606d825d568e

Observation 4cfa7766-1f1a-45b0-988d-61df84c25e52 · outbound

This paper cites S/c: Speeding up data materialization with bounded memory,.

Workload-Aware Caching for Multi-Agent Systems S/c: Speeding up data materialization with bounded memory,

Reference 21

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source=pdf_text observed=2026-08-02T11:22:58.063849Z digest=sha256:fddcf22eaa1cb042fe412d24c9ea7830b4d97e26f418fde14e508f7414fdc61d

Observation 6aaff067-d55c-4781-a05b-0c954a1bd20b · outbound

This paper cites Real-Time Analytics by Coordinating Reuse and Work Sharing.

Workload-Aware Caching for Multi-Agent Systems Real-Time Analytics by Coordinating Reuse and Work Sharing

Reference 22

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source=pdf_text observed=2026-08-02T11:22:58.148809Z digest=sha256:5a8571a34ac2cc839a4eb3e140bce2ce4c2b11acdf93fea36cbaf647f7195ab4

Observation eedabd05-de26-4cd0-b203-b0ade40d9974 · outbound

This paper cites S-dag: A subject-based directed acyclic graph for multi-agent heterogeneous reasoning,.

Workload-Aware Caching for Multi-Agent Systems S-dag: A subject-based directed acyclic graph for multi-agent heterogeneous reasoning,

Reference 23

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source=pdf_text observed=2026-08-02T11:22:58.262762Z digest=sha256:3b13ff91563c8d032e042e2d04a9aa7d1b9345c7c652c2fa5f1af2ac26d890a3

Observation b3ece365-7ef1-4941-a231-0b5975135091 · outbound

This paper cites Agentnet: Decentralized evolutionary coordination for LLM-based multi-agent systems,.

Workload-Aware Caching for Multi-Agent Systems Agentnet: Decentralized evolutionary coordination for LLM-based multi-agent systems,

Reference 24

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source=pdf_text observed=2026-08-02T11:22:58.365011Z digest=sha256:be0faa930114a161ece0a0142f7b8c6fdf5cb768479ca40d00b9ec2315974c3c

Observation 74e5828f-e0d4-4f34-ac9b-336eb4aa8105 · outbound

This paper cites Benchmarking agentic workflow generation,.

Workload-Aware Caching for Multi-Agent Systems Benchmarking agentic workflow generation,

Reference 25

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source=pdf_text observed=2026-08-02T11:22:58.483202Z digest=sha256:675dac568b509cb5ea79900d2a1aeaa3da93d72ac3bca2a399e21d63f9ead44b

Observation 3509fcfa-6633-41b4-9230-22a4839a9883 · outbound

This paper cites Kairos: Low-latency multi-agent serving with shared llms and excessive loads in the public cloud,.

Workload-Aware Caching for Multi-Agent Systems Kairos: Low-latency multi-agent serving with shared llms and excessive loads in the public cloud,

Reference 26

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source=pdf_text observed=2026-08-02T11:22:58.628928Z digest=sha256:8e88a24aafc7e23cf9f45d09f3bad86413584576bfb19ac85dbb39ff629094fd

Observation 00ed3a32-6ad2-4bc9-ac69-e528b27ada66 · outbound

This paper cites Towards end-to-end optimization of llm-based applications with ayo,.

Workload-Aware Caching for Multi-Agent Systems Towards end-to-end optimization of llm-based applications with ayo,

Reference 27

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source=pdf_text observed=2026-08-02T11:22:58.843180Z digest=sha256:6c9e7ca4c205be591c2db7e3324a56981e2da08267c527da2d541bab169e3a48

Observation 26115895-48f4-4560-b761-93f7312ff447 · outbound

This paper cites AFlow: Automating agentic workflow generation,.

Workload-Aware Caching for Multi-Agent Systems AFlow: Automating agentic workflow generation,

Reference 28

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source=pdf_text observed=2026-08-02T11:22:58.949619Z digest=sha256:0925c77e510a831ed039e9dd5d75af8a2463d1101f7845bfb05cf0c0ee8f2481

Observation 0a3e0a95-cba2-42ff-9729-71f81d33eff5 · outbound

This paper cites Automated design of agentic systems,.

Workload-Aware Caching for Multi-Agent Systems Automated design of agentic systems,

Reference 29

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source=pdf_text observed=2026-08-02T11:22:59.010703Z digest=sha256:8de217b3b7838dba8699c24f2f5e6fc49851c0042c40e0f042aaab934c25428a

Observation 14e41f65-5d2b-4709-8cfc-bdcb8e92980e · outbound

This paper cites DynaSaur: Large Language Agents Beyond Predefined Actions.

Workload-Aware Caching for Multi-Agent Systems DynaSaur: Large Language Agents Beyond Predefined Actions

Reference 30

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source=pdf_text observed=2026-08-02T11:22:59.122377Z digest=sha256:7a034d9a6dea365d17e0ea740da324ba2c5b21a3be6a2225096de5c734152d35

Observation 81d7bae8-3ac3-4930-894c-15833ee89db3 · outbound

This paper cites Slidevqa: A dataset for document visual question answering on multiple images,.

Workload-Aware Caching for Multi-Agent Systems Slidevqa: A dataset for document visual question answering on multiple images,

Reference 31

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source=pdf_text observed=2026-08-02T11:22:59.288250Z digest=sha256:7959cca8d1d4c8b6e31502c1f6e385f9c59c34646c51b2044816307a707c1a33

Observation a5c121cd-a98d-42da-bb1a-c495f9e5f330 · outbound

This paper cites Hierarchical multimodal transformers for Multi-Page DocVQA.

Workload-Aware Caching for Multi-Agent Systems Hierarchical multimodal transformers for Multi-Page DocVQA

Reference 32

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source=pdf_text observed=2026-08-02T11:22:59.426670Z digest=sha256:fda05bc7709792be1c247d35a8b8f835bb696fccde213a70097acc9e7ff6fc6b

Observation 6e0dcf2b-9b32-46d8-873c-7bc6fb172c8b · outbound

This paper cites Video-mme: The first-ever comprehensive evaluation benchmark of multi-modal llms in video analysis,.

Workload-Aware Caching for Multi-Agent Systems Video-mme: The first-ever comprehensive evaluation benchmark of multi-modal llms in video analysis,

Reference 33

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source=pdf_text observed=2026-08-02T11:22:59.590150Z digest=sha256:2acd96fc6150e4e47c19ddf8d909ef2d14197d4f8e06dfb7c2a7ff8b0716a6a0

Observation 5c62be42-8fd7-41a9-a95d-88abb906aec5 · outbound

This paper cites Plan-and-act: Improving planning of agents for long-horizon tasks,.

Workload-Aware Caching for Multi-Agent Systems Plan-and-act: Improving planning of agents for long-horizon tasks,

Reference 34

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source=pdf_text observed=2026-08-02T11:22:59.700138Z digest=sha256:0a16ec64816714f2fb638fd727773511d2a08ca738319eacf55d237d1870627d

Observation ada20323-bc55-4679-aec6-8b0e0b1a5360 · outbound

This paper cites ARC: A Self-Tuning, low overhead replacement cache,.

Workload-Aware Caching for Multi-Agent Systems ARC: A Self-Tuning, low overhead replacement cache,

Reference 35

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source=pdf_text observed=2026-08-02T11:22:59.809932Z digest=sha256:7d4d2f99309c5abe0096652ba065fd1ba964731b9ab4c2f396139098210b58fa

Observation 319da7b0-28c4-4b75-956f-6677510b5675 · outbound

This paper cites An llm compiler for parallel function calling,.

Workload-Aware Caching for Multi-Agent Systems An llm compiler for parallel function calling,

Reference 36

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source=pdf_text observed=2026-08-02T11:22:59.966611Z digest=sha256:582807420a7d3b46f9774b0fe96b1fb9b4316bec64cf79d45683edda75fc0f25

Observation 262c7428-b251-4ebb-8c8a-ca3f8047d0fb · outbound

This paper cites Qwen2.5 Technical Report.

Workload-Aware Caching for Multi-Agent Systems Qwen2.5 Technical Report

Reference 37

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source=pdf_text observed=2026-08-02T11:23:00.070441Z digest=sha256:24dfb52fc934abfafdd55e9339c6605c1139f19fce5c21b63cc2eae7602f5595

Observation aeeb0b4c-e08d-4d81-9138-afe8f276eee5 · outbound

This paper cites Ollama: Run AI models locally,.

Workload-Aware Caching for Multi-Agent Systems Ollama: Run AI models locally,

Reference 38

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no resolver link, observed 2026-08-02T11:23:00.195827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:23:00.195827Z digest=sha256:52835a3fa070d4eaf38d6e93a885ae1eb19ecbe0d0005c72dee7ca87aacf016b

Observation 5aad65d3-e372-4ba7-b045-4e4fdebed334 · outbound

This paper cites Can Increasing the Hit Ratio Hurt Cache Throughput? (Long Version).

Workload-Aware Caching for Multi-Agent Systems Can Increasing the Hit Ratio Hurt Cache Throughput? (Long Version)

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-02T11:23:00.299874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:23:00.299874Z digest=sha256:c5c7336b79d502bedafb020b9715e727b134e4e61b5d464cc5c04d3bf06d8b7d

Observation 413ff1bb-9d1c-4b29-9fc2-1c85d56c5a60 · outbound

This paper cites Mistral Small 3.2,.

Workload-Aware Caching for Multi-Agent Systems Mistral Small 3.2,

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-02T11:23:00.475610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:23:00.475610Z digest=sha256:957ebf73289ec3b775d9cc649383152747b9466f82eee8f90c2e815505866555

Observation f7ab6e29-14f5-4dec-a243-44f72d744e44 · outbound

This paper cites Kairos: Low-latency Multi-Agent Serving with Shared LLMs and Excessive Loads in the Public Cloud.

Workload-Aware Caching for Multi-Agent Systems Kairos: Low-latency Multi-Agent Serving with Shared LLMs and Excessive Loads in the Public Cloud

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-02T11:22:58.727229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:22:58.727229Z digest=sha256:c7cc9eeab49643e52e3461773fe6354adc863124cf7cf4d45e3523f24a2cb8b1

Pith citing papers

No inbound Pith citation observations are available.