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Paper Citation Record · LEDGER

Workload-Aware Caching for Multi-Agent Systems

As of 10 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 2026-08-09T06:31:02.800959+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=sha256:5c0140b602c9d980433df92b80ee65eef94ba69fae3e82327bb8f31d8dd18f54

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=sha256:004ce90ac167dfcf9e7519c081e9ad3aaab3a4470d09b86c99241a52137deb5a

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:b6c2307393f7383908cff60bc140c38f71fbd6aa2adc0df936d5efd48c507263

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=sha256:5fdffdc1327ebbb4f8c8786e7a0f1f0e3fcab5747704fd711329641af4a07bf8

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=sha256:877c30c82fce6a3d42e0e337affdc33a0d647ce687dd72b593e20c9e3c5f27c3

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:ad79cf1a1ab3c605bbd98f7d6136802d01f30be6e3423210b4382cdd75067040

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:dd37e658a345de167ae54f3313f43a71d38a137dcf33413ab27a6baaa43c0a21

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:dd846451acc9cd28f3b03278b94abc63b8da680819f2c90e00fc06aacd972646

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:da4482427d296e9b730ab309121cfa348e9c0073b536ba2efcb3ded73fd291d6

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:fec017daa0b5bd6788b7b7ae601f5a279b85403f66f2c43e11412288762db80f

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=sha256:0a215049c6d819fb88b1699bde9e7d8610e6a13e4f2d71f09d5a1f95eb015b98

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:dac4708fec03c2b474b00be2f1b4546b54d01d3bbdb90ec200b3e03199eab76a

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=sha256:03aec9a9214383a97dac70a1dcf27349950e56a6453a5fd445e06e9b17f88fc9

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:c384d40083899c20447bd07d618a63c9f05d0a3aac65f46a03fb4185b8497615

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=sha256:28219c5dd4649e62c767e7657422391a5ac8d5777cf9b30881a051eef3af39c8

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=sha256:14ba9f0d04eb60cc6b5487e4589582aed9ed0dd3d7258638f14c55cb967484e6

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=sha256:5769b479c82ab7552f1ab38747d0123053dd689d7c89e9047979eba5f9ebfc4f

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=sha256:227f4d9740046176e8140c1b91dfab772b8bdb0a72a3513728e1b3044ffb27de

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=sha256:4403ffe783fa6f8cb2a5ff6d0dd23b11ec64078a01bafcfedc8ae5f8eaa4e861

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=sha256:46d0619e57de1fcf2ffd9ec96a1dd523539a93f864845f54236d2b0b6951a34a

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:c13a4b99fbc2d0c69fc5416358c0973f777e5b693168beaea67295df4f19ccf9

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:f9aafd5731090658926f30df4478da58bc109243220f958db340e2afe1d1d18d

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=sha256:2f1548028c861d9497563276595db3362469adbc8ae0094b98acb9868a8e3598

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=sha256:44bf523f7b073c9e68a26fb902af5e9c3a9d13c2fd9b0ab7cff444a320ff4935

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:b53080684f9a356833db68d8904e2dc56d7336e9efbb70e2ff41d075fe20bb33

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=sha256:6172658b169f114920f1611e9dc1e08f62bd4ef546a44b7f748aff520997e70d

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:aaeffacd6b0a955b22a404bc4b005d9f491d4d2f6e888a84bd38e6407318b566

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:c14959746b79aebe555f5180b760d8102fb7bec102a1314f39d808f1b47be8c0

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=sha256:609aca5a7efcc7026b7cb4170e40a1bec235984213dbcd6822dc2983653ba7ba

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=sha256:34788fa96c2e08a5545035a00cdb538335251a4a44bca0b702f6c366c2dbc13e

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=sha256:4a55dad8d66ab2ea4cfcc57f0869aa4499c9f2b021d8debb6beab5814c95d895

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:f5f5457aa59edf141958552fba45bdae5f0eda977000ec4ad9e4fcd42e960da7

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=sha256:05e7aad88fc3899ab42539ed202d4ccf5cfdb74ea9508269ee5e0ed15daaf225

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=sha256:7f5743d6db1cdc8691c53b43a723cbd0df2e7d21e440725f0457466e29864197

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:ac7681cd27780b6feb9c299813135cdf4c7641ef439d88bdc6fd40ebda29bf65

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=sha256:1e36a05a11ecd7f6c6669cf6978c58e2511620c4884e00007a9a7e583c9febe8

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:d677d86b28402160069a5ad85220172fdeb2f1839e4a15a5c7437de19c5defb9

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:23:00.195827Z digest=sha256:189533d108883ba0669720a6267a83f0d4bb84f7aa2a15b98499bcf586de0c57

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

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source=pdf_text observed=2026-08-02T11:23:00.299874Z digest=sha256:108035432397c094e5fcde71513369f7686d7fade958b9a71ee162b0aab6dc0f

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:c3acc2bacce74359a42a24c6aa2690a414868ddd55793cf5962faca9b1b67cd5

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:22:58.727229Z digest=sha256:1de8870350a21075191cdf8cd442319dd80920d0ba925577a981d5a354ff2b0e

Pith citing papers

No inbound Pith citation observations are available.