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Paper Citation Record · LEDGER

Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework

As of 9 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2607.29069.

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

pith.paper-citation-record.v1
2607.29069 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T14:14:14.122781Z

measured 55 of 55 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

55 of 55 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved55
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a8478207-01e0-417f-af55-4cee0ef7cd62 · outbound

This paper cites an unresolved cited work.

Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework Unresolved cited work

Reference 1

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no resolver link, observed 2026-08-03T14:14:08.818308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T14:14:08.818308Z digest=sha256:80dc598346c8724ce176edcb6c596d55ee6a0d0ab1747d4044918f255b4d2d43

Observation 662944b0-7465-4dd0-ad3d-0782a9990f7e · outbound

This paper cites an unresolved cited work.

Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework Unresolved cited work

Reference 2

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source=pdf_text observed=2026-08-03T14:14:08.878874Z digest=sha256:e3df03a8a254d8d227ead0ded9160dbc3d984e76ece43c107174db5479d7b4c5

Observation 79e1c607-5bfb-4905-8a07-6d8175ec6d9e · outbound

This paper cites an unresolved cited work.

Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework Unresolved cited work

Reference 3

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no resolver link, observed 2026-08-03T14:14:08.964689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T14:14:08.964689Z digest=sha256:8e3018f1cd5f426e1d6adec8e9a2e993fc4ac3789f172540d7865cea68a4bdbc

Observation 9a17a345-32c9-4e20-b6ed-a49df92019f0 · outbound

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

Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework Kairos: Low-latency Multi-Agent Serving with Shared LLMs and Excessive Loads in the Public Cloud

Reference 4

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no resolver link, observed 2026-08-03T14:14:09.018875Z

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source=pdf_text observed=2026-08-03T14:14:09.018875Z digest=sha256:d244fc512d34f803eccf72f3917d25a6cdec742b4cb7652aee4c43c142c7c7ad

Observation 2c73b836-ba00-47d2-8352-83ea756352a5 · outbound

This paper cites Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory.

Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory

Reference 5

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source=pdf_text observed=2026-08-03T14:14:09.118087Z digest=sha256:22b8830fee7afb8a63eb2dad302772561777b2fc890d489cea30ad2eb5e4d4eb

Observation 28e79601-ceab-49f7-80f0-864bd8cbe1de · outbound

This paper cites an unresolved cited work.

Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework Unresolved cited work

Reference 6

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no resolver link, observed 2026-08-03T14:14:09.190844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T14:14:09.190844Z digest=sha256:57b88183dacd42d04c840ba335124f459a66aa8b9c6c14bd681ef5c078711de7

Observation ed37b292-aec2-4257-ae2b-f3c6ef88c556 · outbound

This paper cites an unresolved cited work.

Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework Unresolved cited work

Reference 7

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no resolver link, observed 2026-08-03T14:14:09.326475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T14:14:09.326475Z digest=sha256:52848d45c5a9f45c7e9609cb3288e475f9a49be9f7972ead74aded6b5a5f48b1

Observation 2ea4aed8-b053-43fc-b624-f5f6062fb795 · outbound

This paper cites SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?.

Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?

Reference 8

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source=pdf_text observed=2026-08-03T14:14:09.461353Z digest=sha256:68c8c4b0bb27d638430d4204c7bc2f41db1da6ee63d2042d6f7e67df617d87f5

Observation e550eae1-5d08-4548-93dc-cab84296f339 · outbound

This paper cites an unresolved cited work.

Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework Unresolved cited work

Reference 9

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source=pdf_text observed=2026-08-03T14:14:09.581307Z digest=sha256:4d4221d6c9a9481f5740b60f075847fb74a8f0de8cae5a8fd8152220f9039c10

Observation 4b091169-7ff3-4296-98d6-3c20e2fca3e5 · outbound

This paper cites an unresolved cited work.

Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework Unresolved cited work

Reference 10

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source=pdf_text observed=2026-08-03T14:14:09.671087Z digest=sha256:8ace11a877429543a6c4f3a2ecce938c149d07f25cd5dbe63e2f4bb4088fc4fc

Observation f30f1161-0e29-4925-acff-b525f1bdc326 · outbound

This paper cites an unresolved cited work.

Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework Unresolved cited work

Reference 11

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no resolver link, observed 2026-08-03T14:14:09.733834Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T14:14:09.733834Z digest=sha256:12e3556991486be5003fe4dd49564515b7ba8701a9e5f4a5f71e7647ef9ac67e

Observation 4a8334bf-139d-4042-a0d6-250f0ce7c325 · outbound

This paper cites an unresolved cited work.

Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework Unresolved cited work

Reference 13

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no resolver link, observed 2026-08-03T14:14:09.890222Z

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source=pdf_text observed=2026-08-03T14:14:09.890222Z digest=sha256:4f0067a44dd7aff69048f74600e2eeff29a197598f6a8c50d1ad9850ed67dfa0

Observation b16f2ab0-9539-43d0-9f6c-ca27ee66cc6f · outbound

This paper cites an unresolved cited work.

Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework Unresolved cited work

Reference 14

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no resolver link, observed 2026-08-03T14:14:09.976734Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T14:14:09.976734Z digest=sha256:1d0f3eec9f300ffd5e34e73685612ff1f089d7f8c4d3c0c1ea44b6258e0d4c65

Observation 60dbc79e-feea-410a-b64d-63e65d600640 · outbound

This paper cites an unresolved cited work.

Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework Unresolved cited work

Reference 15

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no resolver link, observed 2026-08-03T14:14:10.088692Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T14:14:10.088692Z digest=sha256:9aa5d86e384ce487238a9e4603cddc2f69f031c354ecd2e7a2f13b7bad82d18f

Observation 4360604f-0f89-4b58-873e-6ac72f0c908d · outbound

This paper cites an unresolved cited work.

Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework Unresolved cited work

Reference 16

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source=pdf_text observed=2026-08-03T14:14:10.208209Z digest=sha256:840643a41cb2590a91e0a3ebfff53544b933727dce862317771b4c818a33d8b6

Observation c63fd332-4148-4190-a355-98bd631e8bc3 · outbound

This paper cites MemServe: Context Caching for Disaggregated LLM Serving with Elastic Memory Pool.

Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework MemServe: Context Caching for Disaggregated LLM Serving with Elastic Memory Pool

Reference 17

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source=pdf_text observed=2026-08-03T14:14:10.290433Z digest=sha256:cc469be3d0949a3f5c004764af5b9f55b7b1b74623e531044eefdec34bc67239

Observation b49bd378-5512-4d7b-b8f6-08a197292084 · outbound

This paper cites Inference without Interference: Disaggregate LLM Inference for Mixed Downstream Workloads.

Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework Inference without Interference: Disaggregate LLM Inference for Mixed Downstream Workloads

Reference 18

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source=pdf_text observed=2026-08-03T14:14:10.457557Z digest=sha256:c3e92771ceeb5bf948a4b9553fe120d6aebbc72223b34febeeb946d0cc814411

Observation 78bbf105-7c5e-403d-a246-a590b76b622b · outbound

This paper cites Jimenez, John Yang, Alexander Wettig, Shunyu Yao, Kexin Pei, Ofir Press, and Karthik R.

Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework Jimenez, John Yang, Alexander Wettig, Shunyu Yao, Kexin Pei, Ofir Press, and Karthik R

Reference 19

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no resolver link, observed 2026-08-03T14:14:10.580205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T14:14:10.580205Z digest=sha256:18ba13530421997e6dbd96c42f1fc83af1c5081d4eeedad99dcab309f0d628d3

Observation e6fbdbce-f521-492b-a5d0-26edd0df7975 · outbound

This paper cites ACON: Optimizing Context Compression for Long-horizon LLM Agents.

Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework ACON: Optimizing Context Compression for Long-horizon LLM Agents

Reference 20

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no resolver link, observed 2026-08-03T14:14:10.698906Z

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source=pdf_text observed=2026-08-03T14:14:10.698906Z digest=sha256:bc2b04758e297e5ec4fde335a6664eef951a8828e1bbabaad79b93ebda027a7d

Observation c6dc8db9-d0af-424f-9cd3-a4788d111b5b · outbound

This paper cites an unresolved cited work.

Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework Unresolved cited work

Reference 21

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source=pdf_text observed=2026-08-03T14:14:10.769967Z digest=sha256:c36ed0018791e1a18ab0d6d0422922bfa5ac687d8565ef285fca91e2068c3869

Observation 73ae7655-9f46-43a2-817a-d9db1b8f5a06 · outbound

This paper cites an unresolved cited work.

Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework Unresolved cited work

Reference 22

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no resolver link, observed 2026-08-03T14:14:10.887619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T14:14:10.887619Z digest=sha256:61dddffc1836f0ac20e6756cb7bd961da555ecc64ec7175dbd00bbe5c583f567

Observation 30bd4abb-f829-4a2b-9cd4-d9ca6cb674c1 · outbound

This paper cites Gonzalez, Hao Zhang, and Ion Stoica.

Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework Gonzalez, Hao Zhang, and Ion Stoica

Reference 23

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no resolver link, observed 2026-08-03T14:14:10.998557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T14:14:10.998557Z digest=sha256:39486ab1b873d6d4b789047fa2a913632e2832a82abf343a8a4a606510ee9c69

Observation 72ac51ad-1e78-4d3b-8a74-c206a763271b · outbound

This paper cites Continuum: Efficient and Robust Multi-Turn LLM Agent Scheduling with KV Cache Time-to-Live.

Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework Continuum: Efficient and Robust Multi-Turn LLM Agent Scheduling with KV Cache Time-to-Live

Reference 24

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no resolver link, observed 2026-08-03T14:14:11.098543Z

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source=pdf_text observed=2026-08-03T14:14:11.098543Z digest=sha256:486ec107c76bfdd12fb4c2bbf4703ed1432882a93a44f2f7c9fc65545200e257

Observation 222e1485-2f52-4c16-9bff-8c845c362c95 · outbound

This paper cites an unresolved cited work.

Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework Unresolved cited work

Reference 25

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no resolver link, observed 2026-08-03T14:14:11.195358Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T14:14:11.195358Z digest=sha256:5cf1fc70833fb598cbeb6ebebf1f674b78d2ce66d98cb34d72f1cf4895fff7ac

Observation 53d5a14d-43ba-4dc0-8f47-8502c8d5e12f · outbound

This paper cites an unresolved cited work.

Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework Unresolved cited work

Reference 26

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T14:14:11.339500Z digest=sha256:0e74f8907ad224099128d46d9d592e5192064ce2fb708731016daf24c7c9c3c3

Observation 1d19e065-62f4-4212-8cd4-d2797c9c97d1 · outbound

This paper cites Large Language Model Agent: A Survey on Methodology, Applications and Challenges.

Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework Large Language Model Agent: A Survey on Methodology, Applications and Challenges

Reference 27

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source=pdf_text observed=2026-08-03T14:14:11.467611Z digest=sha256:9c80b63d8c7ae51d93b70f1bbdac4dc0402e6437097579bdbe107df7d806923b

Observation de89d268-b972-48cf-8461-8d2f813b7343 · outbound

This paper cites an unresolved cited work.

Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework Unresolved cited work

Reference 28

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T14:14:11.535524Z digest=sha256:21575f312003a851473e7ff884d03e192d2d25aa47f468bc62182729b5c16f97

Observation c4756bb8-cc7f-42fc-809a-1e905ab34797 · outbound

This paper cites an unresolved cited work.

Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework Unresolved cited work

Reference 29

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source=pdf_text observed=2026-08-03T14:14:11.640299Z digest=sha256:8bd323ae6ad5a45dac489cf86c954d466d38a9df89ac6f90c9fd39c074c9f6cd

Observation 3d6f44a2-c1f0-4bd1-97f0-7ff5b8cb68f3 · outbound

This paper cites an unresolved cited work.

Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework Unresolved cited work

Reference 30

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source=pdf_text observed=2026-08-03T14:14:11.794800Z digest=sha256:99663944882edb62cf2c061054f890635fe3a541072310e26363733303fb6318

Observation 8207dad0-651d-4649-b651-2c77966b8176 · outbound

This paper cites an unresolved cited work.

Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework Unresolved cited work

Reference 31

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no resolver link, observed 2026-08-03T14:14:11.860548Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T14:14:11.860548Z digest=sha256:1cc02fe830a507871a9b736a4f6a7e2145b02ffe049ea8dd0f787123ca0a86df

Observation 845af364-db9a-4cc0-8a49-e5f9706a88e3 · outbound

This paper cites an unresolved cited work.

Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework Unresolved cited work

Reference 32

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no resolver link, observed 2026-08-03T14:14:11.952951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T14:14:11.952951Z digest=sha256:2246d4947ab7587197d9a867462399d6cbe16123c18f437f89a090406af630cd

Observation 0f4065f3-5a16-4462-9a48-8fe445ebb60c · outbound

This paper cites ML-Dev-Bench: Comparative Analysis of AI Agents on ML development workflows.

Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework ML-Dev-Bench: Comparative Analysis of AI Agents on ML development workflows

Reference 33

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source=pdf_text observed=2026-08-03T14:14:12.016405Z digest=sha256:d104123b8807492cf39a98828e4e9003d17d7ab20e893c43b3a328281182d257

Observation 0a65ee2b-195e-4223-ba1d-95c47b4382bf · outbound

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

Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework KVFlow: Efficient Prefix Caching for Accelerating LLM-Based Multi-Agent Workflows

Reference 34

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source=pdf_text observed=2026-08-03T14:14:12.063684Z digest=sha256:c45542e6ab7a9e85d22cdf266b21051e9d2b8f68d4816cd7ec2147cd297f1877

Observation 9a44e8da-0c0e-44aa-9ce9-6fbc7488a340 · outbound

This paper cites an unresolved cited work.

Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework Unresolved cited work

Reference 35

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T14:14:12.143169Z digest=sha256:4b49b51e963ecac4b00822bb1567d14fa6403f313023b06c1ae9cc102f6cc233

Observation 3c3b7a2a-ceb5-4124-a7dd-7019a89cfaac · outbound

This paper cites an unresolved cited work.

Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework Unresolved cited work

Reference 36

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T14:14:12.248407Z digest=sha256:a271e5315ed9964af8dd3c3c09ba1aa5f2a3874f52ecf90a4d87095dc1e6c055

Observation 98cb0a95-f30b-4a48-bff2-e8a85aad86b4 · outbound

This paper cites an unresolved cited work.

Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework Unresolved cited work

Reference 37

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no resolver link, observed 2026-08-03T14:14:12.293429Z

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source=pdf_text observed=2026-08-03T14:14:12.293429Z digest=sha256:29c9487fec558d2ea86a614551f950eea662298ad6490b509615970b811d19b7

Observation 16805d7f-87ef-466a-ab13-c363b6c36b7c · outbound

This paper cites Zep: A Temporal Knowledge Graph Architecture for Agent Memory.

Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework Zep: A Temporal Knowledge Graph Architecture for Agent Memory

Reference 38

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source=pdf_text observed=2026-08-03T14:14:12.338856Z digest=sha256:1ca0deabfd2659838218d2602439e2afa452ffd7e2a8ba21f6d7620bd0e1b674

Observation 46099a20-184d-4d99-be33-ac9f35aeddf6 · outbound

This paper cites an unresolved cited work.

Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework Unresolved cited work

Reference 39

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no resolver link, observed 2026-08-03T14:14:12.397176Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T14:14:12.397176Z digest=sha256:3efefcedd4fe0c718f6b18c3cf2c79f42770c583bf1f47da1cb5ca90e3131def

Observation d8825e31-fd4b-4091-b287-9466f71867e8 · outbound

This paper cites an unresolved cited work.

Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework Unresolved cited work

Reference 40

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source=pdf_text observed=2026-08-03T14:14:12.454519Z digest=sha256:57d302aaf0a51c0617e57fca540b016aae38d51baac06d87b416b6d9010d98d5

Observation ee29cf48-978f-4fe6-9dcb-2d0d3e4e6e70 · outbound

This paper cites an unresolved cited work.

Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework Unresolved cited work

Reference 41

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source=pdf_text observed=2026-08-03T14:14:12.517955Z digest=sha256:bdfc7a933087ef8b0a17a8ee73c9c3416dc7ae40ab00859454b2adbddf8d8586

Observation e9516a5f-2f60-48b2-97e1-75132ab487a3 · outbound

This paper cites an unresolved cited work.

Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework Unresolved cited work

Reference 42

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source=pdf_text observed=2026-08-03T14:14:12.599004Z digest=sha256:95c19c9e9f22e64657047aedda10ece3042dfb6a0a16bcbd7c82caed75268d50

Observation 6a93aa11-e8c4-443a-bf58-e385654454a3 · outbound

This paper cites an unresolved cited work.

Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework Unresolved cited work

Reference 43

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source=pdf_text observed=2026-08-03T14:14:12.638868Z digest=sha256:b04cc7b9845cfce009eb260d83b2b1889faf1554200720ebc0f3db8b204c93ee

Observation 31a5eeec-bd0d-4843-beb7-522b3838e7f4 · outbound

This paper cites The OpenHands Software Agent SDK: A Composable and Extensible Foundation for Production Agents.

Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework The OpenHands Software Agent SDK: A Composable and Extensible Foundation for Production Agents

Reference 44

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source=pdf_text observed=2026-08-03T14:14:12.721205Z digest=sha256:1a4ec91c828efbe8ae5fa3d6c8231db32c54fdbdca61e4c3cf0ccde4aaffd945

Observation 91a47083-e8f8-41c9-87ff-620e0f6ce842 · outbound

This paper cites an unresolved cited work.

Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework Unresolved cited work

Reference 45

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source=pdf_text observed=2026-08-03T14:14:12.814238Z digest=sha256:963a52dc2fd359a954052bce4808429ed2ec4436f730c26b8ae5f26d66c293de

Observation eb67d3ec-5b74-4245-a6ae-bf0082767f22 · outbound

This paper cites Forewarned is Forearmed: A Survey on Large Language Model-based Agents in Autonomous Cyberattacks.

Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework Forewarned is Forearmed: A Survey on Large Language Model-based Agents in Autonomous Cyberattacks

Reference 46

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source=pdf_text observed=2026-08-03T14:14:12.957923Z digest=sha256:8ca1f6795d177aafb19bd5aa730f6611aa6135fca93fd8faf49de7a49f47aee7

Observation d9d96c40-2530-4048-a90f-590f38053500 · outbound

This paper cites an unresolved cited work.

Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework Unresolved cited work

Reference 47

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source=pdf_text observed=2026-08-03T14:14:13.108480Z digest=sha256:5429e0d07b3ac52a47fe97e6cc933002e4a684dee4b81a478e7b407c908ed60f

Observation 9e699410-63e4-467c-a27f-d3f63fd2dfc7 · outbound

This paper cites $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains.

Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains

Reference 48

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source=pdf_text observed=2026-08-03T14:14:13.408256Z digest=sha256:fdd6e8b08c460490079286c7586760a4e8c7d764b1ff26480593bf14564a9968

Observation ab6e9b8a-8520-4124-a6c0-3d0773a984fc · outbound

This paper cites Advances in Neural Information Processing Systems 38 (2026), 17577–17604.

Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework Advances in Neural Information Processing Systems 38 (2026), 17577–17604

Reference 49

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source=pdf_text observed=2026-08-03T14:14:13.274832Z digest=sha256:c888c01dfa218cffda429e1e79256f5993c25fa2219af70706e5da7fc542c400

Observation 7f162ff7-15c0-4300-b05d-2a295aa05fbd · outbound

This paper cites an unresolved cited work.

Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework Unresolved cited work

Reference 50

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source=pdf_text observed=2026-08-03T14:14:13.678024Z digest=sha256:62a0fdff1e0031b005673f4ee8a23fabe05d92a030664408cff237e47549d5aa

Observation f941d150-c655-4160-83c2-6794f45adcb5 · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework ReAct: Synergizing Reasoning and Acting in Language Models

Reference 51

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source=pdf_text observed=2026-08-03T14:14:13.564170Z digest=sha256:e8edd8c08d478510ea2e0cb179c850da436a1c9cdd095abe126649d89d1af8e1

Observation 3ad33489-1036-4eaa-809d-658f38315f25 · outbound

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

Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework SGLang: Efficient Execution of Structured Language Model Programs

Reference 52

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source=pdf_text observed=2026-08-03T14:14:13.884500Z digest=sha256:d868e1150098b7f502f407d7af242db927417aba495e06d4df245a428c02a438

Observation f1e57a61-4eef-45ad-8cee-f348858209ce · outbound

This paper cites an unresolved cited work.

Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework Unresolved cited work

Reference 53

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source=pdf_text observed=2026-08-03T14:14:13.758347Z digest=sha256:07bc877606a3ffcccdcec1203e061c2fd01d6a24b9addcf9363b4c980ad8379f

Observation af20bb66-0221-4b50-b8fb-4b3d2f6ec94d · outbound

This paper cites Xu, Hao Zhu, Xuhui Zhou, Robert Lo, Abishek Sridhar, Xianyi Cheng, Tianyue Ou, Yonatan Bisk, Daniel Fried, Uri Alon, and Graham Neubig.

Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework Xu, Hao Zhu, Xuhui Zhou, Robert Lo, Abishek Sridhar, Xianyi Cheng, Tianyue Ou, Yonatan Bisk, Daniel Fried, Uri Alon, and Graham Neubig

Reference 54

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source=pdf_text observed=2026-08-03T14:14:14.122781Z digest=sha256:c212cd9e950e337b17b0cf2889268bce3d587c977d701c94c0b1094fcc37e95e

Observation bb19ad34-64ca-4fd3-b78a-02fa6ccb5bc1 · outbound

This paper cites an unresolved cited work.

Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework Unresolved cited work

Reference 55

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source=pdf_text observed=2026-08-03T14:14:14.020057Z digest=sha256:bb5796098a31f2be010efa6227080b6c2a610cce5cb643295f5b2073eade0d27

Observation 3c07b607-c0a5-4033-b2ff-1e531a0a1681 · outbound

This paper cites Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces.

Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces

Reference 2026

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source=pdf_text observed=2026-08-03T14:14:11.705092Z digest=sha256:263fd3e51717fe7dab9fba063aa569164407fab2d526e31a2c98305745933fe0

Pith citing papers

No inbound Pith citation observations are available.