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Paper Citation Record · LEDGER

Architectural Implications of Agentic AI Workflows

As of 9 August 2026, this Paper Citation Record lists 86 of 86 outbound references and 0 inbound Pith citation observations for arXiv:2608.04458.

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

pith.paper-citation-record.v1
2608.04458 v1

Coverage vector

measured 86 of 86 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:49:21.427575Z

measured 86 of 86 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

86 of 86 outbound references displayed

  • verified exact2
  • verified fuzzy50
  • unresolved34
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8d8d5178-6b93-4493-87da-f476a6ce2957 · outbound

This paper cites Software-Defined Agentic Serving,.

Architectural Implications of Agentic AI Workflows Software-Defined Agentic Serving,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:49:12.261862Z digest=sha256:d24150ec08c43b8f04fbe09dc2ad5d4d65e6dc512c014ca74292b5550447e923

Observation c0c094a0-54c2-49b1-a376-7e293a6575be · outbound

This paper cites Micro-Sliced Virtual Processors to Hide the Effect of Discontinuous CPU Availability for Consolidated Systems,.

Architectural Implications of Agentic AI Workflows Micro-Sliced Virtual Processors to Hide the Effect of Discontinuous CPU Availability for Consolidated Systems,

Reference 2

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source=pdf_text observed=2026-08-06T23:49:12.391886Z digest=sha256:44d05e1e5feb4788e18dd1473e3e8689a71f3a4bb63877055d4b70f3224614c1

Observation 3cb3c67c-0732-4b33-b3fe-af6857632992 · outbound

This paper cites LLM in a flash: Efficient Large Language Model Inference with Limited Memory.

Architectural Implications of Agentic AI Workflows LLM in a flash: Efficient Large Language Model Inference with Limited Memory

Reference 3

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source=pdf_text observed=2026-08-06T23:49:12.501057Z digest=sha256:276480b6c20d494e1deba14b4db47db47d163f826881dd612e2fc1cbd12d15d0

Observation e799a95d-6bfa-4589-b24f-8a28811bd520 · outbound

This paper cites Agentic AI with AWS Databases,.

Architectural Implications of Agentic AI Workflows Agentic AI with AWS Databases,

Reference 4

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source=pdf_text observed=2026-08-06T23:49:12.644868Z digest=sha256:1e77cc78013b820b58fe9b9eb01a7514243b1d7342ff053734da2ed20175707a

Observation 2dc3d2e9-a8fa-42ed-a424-143ed48e6d9b · outbound

This paper cites Agent Computers. Powering the Future of Agentic AI.

Architectural Implications of Agentic AI Workflows Agent Computers. Powering the Future of Agentic AI

Reference 5

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source=pdf_text observed=2026-08-06T23:49:12.787123Z digest=sha256:e0faea624c4647a3d9e4a96400ed2de4fff0b3d55b8fdab3c278b801ab725c43

Observation 860d99e0-d274-41fe-8970-3db7d7de1ff6 · outbound

This paper cites Processing Architecture for Power Efficiency and Performance,.

Architectural Implications of Agentic AI Workflows Processing Architecture for Power Efficiency and Performance,

Reference 6

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source=pdf_text observed=2026-08-06T23:49:12.948472Z digest=sha256:14a3575a7bd9adb858ca6a80906350a6f17130d40eb2c682f2aba7ec750c0a4e

Observation 961022b7-f037-4938-88bc-a9c026f6452d · outbound

This paper cites Arm AGI CPU: The world’s most efficient agentic CPU,.

Architectural Implications of Agentic AI Workflows Arm AGI CPU: The world’s most efficient agentic CPU,

Reference 7

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source=pdf_text observed=2026-08-06T23:49:13.254016Z digest=sha256:9744e40ddfecf804501d49e9b648411c8f52df5ea16053c680fc0c1ddb61fe5d

Observation dd0f6d93-20a2-47bb-bf55-73ca6391e988 · outbound

This paper cites Efficient and Scalable Agentic AI with Heterogeneous Systems.

Architectural Implications of Agentic AI Workflows Efficient and Scalable Agentic AI with Heterogeneous Systems

Reference 8

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source=pdf_text observed=2026-08-06T23:49:13.400815Z digest=sha256:32d17b8f16e6a6f6055630b89f7652d114e8c685539dc4e8cde1ed456611db92

Observation 6252d1da-b9a1-4228-825c-b1517bd9f5b9 · outbound

This paper cites Small Language Models are the Future of Agentic AI.

Architectural Implications of Agentic AI Workflows Small Language Models are the Future of Agentic AI

Reference 9

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source=pdf_text observed=2026-08-06T23:49:13.524076Z digest=sha256:907d39f590a69ce7992e2e926ec1c7d6e380c6a239dc0c13c709305f96e76b83

Observation eabaa710-b3a0-4967-b071-8df750b680fa · outbound

This paper cites TokenDance: Scaling Multi-Agent LLM Serving via Collective KV Cache Sharing.

Architectural Implications of Agentic AI Workflows TokenDance: Scaling Multi-Agent LLM Serving via Collective KV Cache Sharing

Reference 10

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source=pdf_text observed=2026-08-06T23:49:13.653093Z digest=sha256:19115513e88ea9320f423ccfd9304c588cc1e70fdc667aa82b63f30a47755282

Observation 30d62a54-c948-4a39-83ee-f3513d0d529a · outbound

This paper cites Murakkab: Resource-Efficient Agentic Workflow Orchestration in Cloud Platforms,.

Architectural Implications of Agentic AI Workflows Murakkab: Resource-Efficient Agentic Workflow Orchestration in Cloud Platforms,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:49:13.760786Z digest=sha256:841b40425a06c361b312492e9cb2709cf627d0fb1ef4224afb0733eb8279c9a9

Observation 197b6526-dfe6-4557-815e-44650b2b51cc · outbound

This paper cites ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs,.

Architectural Implications of Agentic AI Workflows ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:49:13.842989Z digest=sha256:d28abed89ac577cfaa9f77d14e8244f9149ea2cadf98b0359344716f4fa87265

Observation 1189ad3b-1677-4c09-b5f7-a9d8fc20f03e · outbound

This paper cites Barbarians at the Gate: How AI is Upending Systems Research,.

Architectural Implications of Agentic AI Workflows Barbarians at the Gate: How AI is Upending Systems Research,

Reference 13

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source=pdf_text observed=2026-08-06T23:49:13.944332Z digest=sha256:6092f93005776f9cecfeefbd6ffced45991fad51963787e2146deabb3f54215a

Observation 911edca2-892d-4e08-9161-4d1ffb735d28 · outbound

This paper cites Fast and Flexible Multi-Agent Automation Framework,.

Architectural Implications of Agentic AI Workflows Fast and Flexible Multi-Agent Automation Framework,

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:49:14.076391Z digest=sha256:a2b25e4b71b1f3c42cedfcb3ccec1ffebeb6302b0931421dd1407dcc8753d0ec

Observation 4396031c-14ca-46d0-8fa1-be74824ead5e · outbound

This paper cites RPCValet: NI-Driven Tail- Aware Balancing ofµs-Scale RPCs,.

Architectural Implications of Agentic AI Workflows RPCValet: NI-Driven Tail- Aware Balancing ofµs-Scale RPCs,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:49:14.203411Z digest=sha256:3bcb21718eb4d064edadeb7745009deb5d6268a238bbaf7763f86465d946151c

Observation b6c2d14a-2e06-4ec8-bf64-4c0fcd056811 · outbound

This paper cites FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness.

Architectural Implications of Agentic AI Workflows FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness

Reference 16

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source=pdf_text observed=2026-08-06T23:49:14.340088Z digest=sha256:85a6837069956dc494e45489bdd286cb4c8ceb2ead3c10c77df1ca0c1aa75bbc

Observation 9130904a-e6a2-4fd4-804c-39153da9dcd8 · outbound

This paper cites Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing,.

Architectural Implications of Agentic AI Workflows Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:49:14.420336Z digest=sha256:589e00fc7caf5de6e342d03ab236980e2801f790ae780897e01e06bbfcdcb26d

Observation eb86c7d3-6837-417f-ad3f-00252b8914f8 · outbound

This paper cites Agentic AI Market Size,.

Architectural Implications of Agentic AI Workflows Agentic AI Market Size,

Reference 18

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:49:14.540618Z digest=sha256:c2ebda2b748c4df5bc45a4edc63e9387b9300316d8fc044de0a844ba8f48d6a1

Observation 85519b8f-365a-41d2-a371-b4a20065f966 · outbound

This paper cites Agentic AI Requires More CPUs,.

Architectural Implications of Agentic AI Workflows Agentic AI Requires More CPUs,

Reference 19

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:49:14.676257Z digest=sha256:e90595be61889b4a2772ac10b14c04a16d94cfd0bcec038bcafda999130865fc

Observation 27289df9-49e4-430e-ad59-7a9da8289ef7 · outbound

This paper cites Memory-Harvesting VMs in Cloud Platforms,.

Architectural Implications of Agentic AI Workflows Memory-Harvesting VMs in Cloud Platforms,

Reference 20

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:49:14.798494Z digest=sha256:f303948eb54cfad14f8daeaad209c8225ae9ec88ac7209bcbc233a8051149ad3

Observation b795c667-e3b4-4208-976b-31b642e86117 · outbound

This paper cites An Open-Source Bench- mark Suite for Microservices and Their Hardware-Software Implications for Cloud & Edge Systems,.

Architectural Implications of Agentic AI Workflows An Open-Source Bench- mark Suite for Microservices and Their Hardware-Software Implications for Cloud & Edge Systems,

Reference 21

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:49:14.924370Z digest=sha256:b4af4e65f43bd1f2f835962d3ddb486e8849b32a93b54cfd12170e6b640e000a

Observation 4dad666b-45b8-4513-90c0-fd614ee8287e · outbound

This paper cites The world’s most widely adopted AI developer tool,.

Architectural Implications of Agentic AI Workflows The world’s most widely adopted AI developer tool,

Reference 22

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:49:15.073545Z digest=sha256:73298a6cf285eaaa98a47cf596e1d431a0ff87e8af1a897681aac69b4220ae3d

Observation b153d9b8-3f39-473d-b0a7-8bc0e25eada4 · outbound

This paper cites Acceler- ating scientific discovery with co-scientist,.

Architectural Implications of Agentic AI Workflows Acceler- ating scientific discovery with co-scientist,

Reference 23

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:49:15.178151Z digest=sha256:d788421f2d0616a763db3eaba3212a4a7d86e0d55ee3a1b1a003dd3ce4a83f1a

Observation 0f3e95a3-0394-482f-a636-41f967372bd6 · outbound

This paper cites The Architectural Implications of Facebook’s DNN-Based Personalized Rec- ommendation,.

Architectural Implications of Agentic AI Workflows The Architectural Implications of Facebook’s DNN-Based Personalized Rec- ommendation,

Reference 24

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:49:15.305536Z digest=sha256:9ae8cc245a908a27e7df7ffab764b417b9eabaef99fe10e7788568c450b46409

Observation bced1a85-1a41-4de4-848f-f126541dc7e4 · outbound

This paper cites MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework.

Architectural Implications of Agentic AI Workflows MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework

Reference 25

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source=pdf_text observed=2026-08-06T23:49:15.427271Z digest=sha256:9f18184042a717193c663fa9619f5eba7bf00236823567c98d9c874b2e687419

Observation 37c71dc2-58c2-4409-866f-41579c5d1722 · outbound

This paper cites OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation.

Architectural Implications of Agentic AI Workflows OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation

Reference 26

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source=pdf_text observed=2026-08-06T23:49:15.590641Z digest=sha256:a4cc01f613ada0ffe67d7f95315b8a815c2de9bf4ddb77215fb5e9a623109d51

Observation 7adac83d-1e38-43d7-b3d1-da7cf9d9e9b8 · outbound

This paper cites The nanoPU: A Nanosecond Network Stack for Data- centers,.

Architectural Implications of Agentic AI Workflows The nanoPU: A Nanosecond Network Stack for Data- centers,

Reference 27

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:49:15.753079Z digest=sha256:7e33a2fbc4440513b5773c63a8710ca6e441d0def9e6afe577592f8d1f1ebdf5

Observation d49cf6df-bce5-4c14-a20f-9f1a63263f6a · outbound

This paper cites What is a multi-agent system?.

Architectural Implications of Agentic AI Workflows What is a multi-agent system?

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:49:15.862945Z digest=sha256:5d04bb5010a8c184172a412f496325c9859dfd9ee4d41fc96f4d80c1c993264c

Observation af5be4d2-e458-4a21-9232-c6ce0e6ee64e · outbound

This paper cites Agentic AI in enterprise workflow automation,.

Architectural Implications of Agentic AI Workflows Agentic AI in enterprise workflow automation,

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:49:15.981433Z digest=sha256:f1bc9968e649fee4ab454fd9bcf38ccf2bb61a0870a9144dfcce6e7725da9bb0

Observation 64ba100f-d659-4559-a014-86f41c9038fe · outbound

This paper cites Profiling a warehouse-scale computer,.

Architectural Implications of Agentic AI Workflows Profiling a warehouse-scale computer,

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:49:16.090630Z digest=sha256:6b6dc60d9d92f1360dd47d00d9fbfb3e772db406b87b5560e744f2a3492c7841

Observation f7ddc9fa-6495-4e7a-8a60-fe9fab7e3b01 · outbound

This paper cites ThunderAgent: A Simple, Fast and Program-Aware Agentic Inference System.

Architectural Implications of Agentic AI Workflows ThunderAgent: A Simple, Fast and Program-Aware Agentic Inference System

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:16.197694Z digest=sha256:a2e9bab4a3774a756edcddd491cca23777dc187394e81bf469dbaff387e378c8

Observation 9a784cae-4909-4c61-88cf-9ba1739bcc7c · outbound

This paper cites A Hardware Accelerator for Protocol Buffers,.

Architectural Implications of Agentic AI Workflows A Hardware Accelerator for Protocol Buffers,

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:49:16.288481Z digest=sha256:494ba57b67013bb836b0073ec665f06c08fcfe682d5487fe4238d118104353bc

Observation 4e64cd99-7ebd-4441-b584-f8d805efc52a · outbound

This paper cites CDPU: Co-designing Compression and Decom- pression Processing Units for Hyperscale Systems,.

Architectural Implications of Agentic AI Workflows CDPU: Co-designing Compression and Decom- pression Processing Units for Hyperscale Systems,

Reference 33

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raw_fallback, observed 2026-08-06T23:49:27.801268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:49:16.389584Z digest=sha256:5e15ea4c44e227ae8f3404ccca7900461b886d9813836b45476bb093c898b33b

Observation 32ee5653-6dee-4658-9f13-79c0f1a3cd43 · outbound

This paper cites MorphCore: An Energy-Efficient Microarchitecture for High Performance ILP and High Throughput TLP,.

Architectural Implications of Agentic AI Workflows MorphCore: An Energy-Efficient Microarchitecture for High Performance ILP and High Throughput TLP,

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:49:16.506907Z digest=sha256:99d4cb6c6ad26c608fe52713a00148e778a75e364b7f8c811a0d44d1aee76379

Observation 830a6330-2c7c-4d01-9fc2-31d95a5b63fe · outbound

This paper cites LIA: A Single-GPU LLM Inference Acceleration with Cooper- ative AMX-Enabled CPU-GPU Computation and CXL Offloading,.

Architectural Implications of Agentic AI Workflows LIA: A Single-GPU LLM Inference Acceleration with Cooper- ative AMX-Enabled CPU-GPU Computation and CXL Offloading,

Reference 35

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raw_fallback, observed 2026-08-06T23:49:27.322987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:49:16.624746Z digest=sha256:0bcab3e3117d30f71c76ff72954435746a1379b9a1f5f5ce885de855b0805653

Observation b55e61dc-382e-45b2-9e26-fb3b920a449d · outbound

This paper cites The cost of dynamic reasoning: Demystifying AI agents and test-time scaling from an AI infrastructure perspective,.

Architectural Implications of Agentic AI Workflows The cost of dynamic reasoning: Demystifying AI agents and test-time scaling from an AI infrastructure perspective,

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:16.769997Z digest=sha256:ac3adbdcffab91da8af16a26e2dad86a3f1a21deb76da18c3d7e3e82435e41b8

Observation 8a1ee723-225d-4a70-9976-8cb12f70feed · outbound

This paper cites PhaseWeave: Phase-Aware Execution on Heterogeneous Chiplet Architectures for Dat- acenters,.

Architectural Implications of Agentic AI Workflows PhaseWeave: Phase-Aware Execution on Heterogeneous Chiplet Architectures for Dat- acenters,

Reference 37

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raw_fallback, observed 2026-08-06T23:49:27.162515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:49:16.926199Z digest=sha256:741e3d13f4dbb49ad6cf2614a90fb1ae6e0988d57803af093819edc6b99df322

Observation 752164a1-e484-4103-bac6-5244d770ba3a · outbound

This paper cites Single-ISA heterogeneous multi-core architectures for multithreaded workload performance,.

Architectural Implications of Agentic AI Workflows Single-ISA heterogeneous multi-core architectures for multithreaded workload performance,

Reference 38

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raw_fallback, observed 2026-08-06T23:49:27.020117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:49:17.044906Z digest=sha256:de8d4ec0e6b89d4649a4bc9ed3e18c918248d3246a2cb7a02b36fb89d39968a7

Observation 1f90404d-883b-41d7-8ccb-d9e71b91720e · outbound

This paper cites Efficient Memory Management for Large Language Model Serving with PagedAttention,.

Architectural Implications of Agentic AI Workflows Efficient Memory Management for Large Language Model Serving with PagedAttention,

Reference 39

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raw_fallback, observed 2026-08-06T23:49:26.857514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:49:17.179748Z digest=sha256:d74671f12f7f0cf649a7495e9d9406100c71f8e233a55f2ad3ee54b5626748e5

Observation 774206fc-564c-41dc-89b7-e35d77af3d8b · outbound

This paper cites langgraph: Low-level orchestration framework for building stateful agents,.

Architectural Implications of Agentic AI Workflows langgraph: Low-level orchestration framework for building stateful agents,

Reference 40

Resolution
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raw_fallback, observed 2026-08-06T23:49:26.704886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:49:17.308281Z digest=sha256:12774762c6e7e4e0e895f3216f9b3980e9b47037c11dfe888785dd4054dbfc37

Observation 3fe0ba39-5a73-495c-b0aa-74966d901bcb · outbound

This paper cites AiF: Accelerating On-Device LLM Inference Using In-Flash Processing,.

Architectural Implications of Agentic AI Workflows AiF: Accelerating On-Device LLM Inference Using In-Flash Processing,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:26.585067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:49:17.484727Z digest=sha256:16a3941aeca11b8fedc21622fef409bc0a1d2e6d4a46f93614190984f6455f5f

Observation b41edb0e-9f71-469d-a824-e7522ec94aa1 · outbound

This paper cites H2-LLM: Hardware-Dataflow Co- Exploration for Heterogeneous Hybrid-Bonding-based Low-Batch LLM Inference,.

Architectural Implications of Agentic AI Workflows H2-LLM: Hardware-Dataflow Co- Exploration for Heterogeneous Hybrid-Bonding-based Low-Batch LLM Inference,

Reference 42

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raw_fallback, observed 2026-08-06T23:49:26.487240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:49:17.598440Z digest=sha256:ae8895473ca1e13a5a74145cd47722374fa85f7ab5ca035d1198bb9bb790e318

Observation 11e87be3-eb61-45b1-8ec6-697cddae1004 · outbound

This paper cites KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta.

Architectural Implications of Agentic AI Workflows KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta

Reference 43

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no resolver link, observed 2026-08-06T23:49:17.692396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:17.692396Z digest=sha256:9319eee75244a18a49a6edade12738cfe2cd30377b927b0c833dd3712527245d

Observation c10dd264-5b77-4906-ba3d-1b34e37c5427 · outbound

This paper cites Agentix: An Efficient Serving Engine for LLM Agents as General Programs,.

Architectural Implications of Agentic AI Workflows Agentix: An Efficient Serving Engine for LLM Agents as General Programs,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:26.352591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:49:17.802965Z digest=sha256:5e265b912c6ce72fad867cc3a7021d40be8a065fcec48fc6428b566e4b4a2e7d

Observation 1b4b5619-ea75-429e-900e-8af51f30dab6 · outbound

This paper cites Decentralized Multi-Agent Systems with Shared Context,.

Architectural Implications of Agentic AI Workflows Decentralized Multi-Agent Systems with Shared Context,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:26.199381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:49:17.928828Z digest=sha256:7d120e87a4b117fb1b4e2f3a2dbb0db7b9b91dc77e6966ce0b4ed30b1f6e512b

Observation 2ed61c70-fc4c-4380-9cb3-7ed00aa76d2a · outbound

This paper cites GAIA: a benchmark for General AI Assistants.

Architectural Implications of Agentic AI Workflows GAIA: a benchmark for General AI Assistants

Reference 46

Resolution
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no resolver link, observed 2026-08-06T23:49:18.076094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:18.076094Z digest=sha256:ab0efc9ef6c5e8c6ad1551f9a069db265123ca2af9854b30595c09eb491be314

Observation e66ee86f-e1d9-489e-87df-ca7f6d531d0b · outbound

This paper cites SpotServe: Serving Generative Large Language Models on Preemptible Instances,.

Architectural Implications of Agentic AI Workflows SpotServe: Serving Generative Large Language Models on Preemptible Instances,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:26.058182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:49:18.222260Z digest=sha256:876c76f4a3bb676076c2a93565b272aebfb688c22c47d6bdc3df8ef42340c7b9

Observation 0a1bd0ca-f46b-445a-bc73-eb21d5302afd · outbound

This paper cites AutoGen: A programming framework for agentic AI,.

Architectural Implications of Agentic AI Workflows AutoGen: A programming framework for agentic AI,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:25.919319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:49:18.340202Z digest=sha256:8bf6a305adf19395f0742bfcdfef428cad65f5e2f30ca5ff549dd8cba1af8d11

Observation 21424f95-f961-4d2e-af5e-118d4cf3375f · outbound

This paper cites Enhancing Server Efficiency in the Face of Killer Microseconds,.

Architectural Implications of Agentic AI Workflows Enhancing Server Efficiency in the Face of Killer Microseconds,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:25.809836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:49:18.489631Z digest=sha256:251b3cf59097ba710e0042e4e6a75763a29c723f8302ff19d2141324030a779e

Observation a9cbded6-85de-4d88-aa14-d8169263dc03 · outbound

This paper cites AlphaEvolve: A coding agent for scientific and algorithmic discovery.

Architectural Implications of Agentic AI Workflows AlphaEvolve: A coding agent for scientific and algorithmic discovery

Reference 50

Resolution
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no resolver link, observed 2026-08-06T23:49:18.646754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:18.646754Z digest=sha256:1fbdedbe06770644bd652fb71e644c8f5feb36122f695be55b34c52f63c053c7

Observation 57ed4cdf-4292-44ba-bfbe-6dd2c5a2b9f9 · outbound

This paper cites TensorRT-LLM’s Documentation,.

Architectural Implications of Agentic AI Workflows TensorRT-LLM’s Documentation,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:25.654300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:49:18.769902Z digest=sha256:9f30eeed5549d567b8681abc5db5a8dc627a52cb2a63ae8f8422b9f4169dc7d6

Observation 5e8fff49-82f6-466b-9d4d-4d764c4ccfbf · outbound

This paper cites Web Search,.

Architectural Implications of Agentic AI Workflows Web Search,

Reference 52

Resolution
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raw_fallback, observed 2026-08-06T23:49:25.536981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:49:18.890642Z digest=sha256:a4ef98ee0ae313a362e0f96729a99a994cf007837c4f8771281d5e610a7709ff

Observation cea3102a-95ad-42bd-bbf5-679d7fa369ac · outbound

This paper cites Splitwise: Efficient generative LLM inference using phase splitting,.

Architectural Implications of Agentic AI Workflows Splitwise: Efficient generative LLM inference using phase splitting,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:25.394508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:49:19.031890Z digest=sha256:32b7f68333027665f6124844ea17a7e15ae81245c35c476f7138f26ea9aa8f65

Observation 71276bda-e1ad-4c11-806a-cc8993925275 · outbound

This paper cites VeriMoA: A Mixture-of-Agents Framework for Spec-to-HDL Generation.

Architectural Implications of Agentic AI Workflows VeriMoA: A Mixture-of-Agents Framework for Spec-to-HDL Generation

Reference 54

Resolution
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no resolver link, observed 2026-08-06T23:49:19.162016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:19.162016Z digest=sha256:ef2ace99015141b48d360e3534814281b9676288c821abbce1e69202b427c1ab

Observation 3dceed43-ac5d-432d-bfce-96e6fb6e2dd6 · outbound

This paper cites Enterprise deep research: Steerable multi-agent deep research for enterprise analytics,.

Architectural Implications of Agentic AI Workflows Enterprise deep research: Steerable multi-agent deep research for enterprise analytics,

Reference 55

Resolution
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no resolver link, observed 2026-08-06T23:49:19.235665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:19.235665Z digest=sha256:345b44bd0d4ab30e1cf6b88d7aa528bd7236467f8a46325684bbfcd7760089dc

Observation 1328a797-0e4c-4b31-87ab-865b6570ea39 · outbound

This paper cites CORAL: Towards Autonomous Multi-Agent Evolution for Open-Ended Discovery.

Architectural Implications of Agentic AI Workflows CORAL: Towards Autonomous Multi-Agent Evolution for Open-Ended Discovery

Reference 56

Resolution
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no resolver link, observed 2026-08-06T23:49:19.295366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:19.295366Z digest=sha256:d2ec09de1fc6c97cb15f51931ffae0e224186ebf951c970fb0ef6aa7fccff7e5

Observation a587600f-165d-492b-a945-6aa21a34b053 · outbound

This paper cites Towards Understanding, Analyzing, and Optimizing Agentic AI Execution: A CPU-Centric Perspective.

Architectural Implications of Agentic AI Workflows Towards Understanding, Analyzing, and Optimizing Agentic AI Execution: A CPU-Centric Perspective

Reference 57

Resolution
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no resolver link, observed 2026-08-06T23:49:19.348281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:19.348281Z digest=sha256:79bec4af8ed89024ccf758ce3f99a26ac6ecee1cf323f41187df5b4f0e620597

Observation 9e02c260-9969-4b96-aa12-b49e2ad7241d · outbound

This paper cites AOrchestra: Automating Sub- Agent Creation for Agentic Orchestration,.

Architectural Implications of Agentic AI Workflows AOrchestra: Automating Sub- Agent Creation for Agentic Orchestration,

Reference 58

Resolution
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no resolver link, observed 2026-08-06T23:49:19.427377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:19.427377Z digest=sha256:370ad2b6150c5df7f14a308142e961f88c84a18a0767af89944a78fcc74d4429

Observation bedff36f-ee3e-41dc-a7c0-21e90703e3a6 · outbound

This paper cites Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning,.

Architectural Implications of Agentic AI Workflows Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning,

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:19.494760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:19.494760Z digest=sha256:90adc239a199ec89fd2bcc36e6390344d627edd7195e689803fc0281c7d1c9cf

Observation eb193f5a-33c2-4a12-ba2d-d9f52b57761d · outbound

This paper cites Accelerometer: Understanding Accel- eration Opportunities for Data Center Overheads at Hyperscale,.

Architectural Implications of Agentic AI Workflows Accelerometer: Understanding Accel- eration Opportunities for Data Center Overheads at Hyperscale,

Reference 60

Resolution
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raw_fallback, observed 2026-08-06T23:49:25.259470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:49:19.556695Z digest=sha256:59900a7c9005a5ff671ea975993c921b33d966eff491f92eaddd4e19b0a175d0

Observation b2dfad12-3f73-4e36-8b58-0c1ce861c093 · outbound

This paper cites Mosaic: Harnessing the Micro-Architectural Resources of Servers in Serverless Environments,.

Architectural Implications of Agentic AI Workflows Mosaic: Harnessing the Micro-Architectural Resources of Servers in Serverless Environments,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:25.115384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:49:19.648108Z digest=sha256:808dcaaca658a728f69281c784d2a17cc1077a71831a30a3c96ec9d58c143304

Observation 6d649949-4c3e-4494-be0b-a360628e3299 · outbound

This paper cites AccelFlow: Orchestrating an On-Package Ensemble of Fine-Grained Accelerators for Microservices,.

Architectural Implications of Agentic AI Workflows AccelFlow: Orchestrating an On-Package Ensemble of Fine-Grained Accelerators for Microservices,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:24.968100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:49:19.740414Z digest=sha256:de44271b91064795ac7d3c1bfbc64368f650b5cd4dbdb491a8027376bbc8e245

Observation f93c6042-724e-4438-8ebb-1104055eeaa5 · outbound

This paper cites µManycore: A Cloud-Native CPU for Tail at Scale,.

Architectural Implications of Agentic AI Workflows µManycore: A Cloud-Native CPU for Tail at Scale,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:24.835756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:49:19.804868Z digest=sha256:e5032d7c6576887d349ed7fbdf66cb31b77e21f0d522095b544b83ede4e40dbe

Observation 6dbbc2ca-ede1-4639-a456-82a410a330b8 · outbound

This paper cites HardHarvest: Hardware-Supported Core Harvesting for Microservices,.

Architectural Implications of Agentic AI Workflows HardHarvest: Hardware-Supported Core Harvesting for Microservices,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:24.688942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:49:19.877516Z digest=sha256:6afbd04e7a7c56ac46d592ba79a0ad303b7855fefcf3eb7a6cf17839cf3f4bd0

Observation 67fc37b8-335d-453f-96b0-94a6ade9ddca · outbound

This paper cites ToolOrchestra: Elevating Intelligence via Efficient Model and Tool Orchestration,.

Architectural Implications of Agentic AI Workflows ToolOrchestra: Elevating Intelligence via Efficient Model and Tool Orchestration,

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:19.933806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:19.933806Z digest=sha256:8e830815448d5d61239547267205187382abc37045435ef33ff29bbaf36ae9cc

Observation 738eeb80-bde8-4495-9549-b0c1be0ec32c · outbound

This paper cites DCPerf: An Open-Source, Battle-Tested Performance Benchmark Suite for Dat- acenter Workloads,.

Architectural Implications of Agentic AI Workflows DCPerf: An Open-Source, Battle-Tested Performance Benchmark Suite for Dat- acenter Workloads,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:24.514107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:49:19.987268Z digest=sha256:508d07f4b145a3806f8fb7c9806ea6d1dceb06a792b76ffbc02e5616a6d33362

Observation a7daaa39-ab63-4c10-8d1d-ad31e4c27095 · outbound

This paper cites Trae Agent: An LLM-based Agent for Software Engineering with Test-time Scaling.

Architectural Implications of Agentic AI Workflows Trae Agent: An LLM-based Agent for Software Engineering with Test-time Scaling

Reference 67

Resolution
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no resolver link, observed 2026-08-06T23:49:20.030415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:20.030415Z digest=sha256:e4a1ff7aeb686e46fa31172ba417370ca113cb94e1a9d8f39c9095315dff9291

Observation d0e6e265-d6dc-4011-b39a-e3dd7390e94c · outbound

This paper cites Attention is All You Need,.

Architectural Implications of Agentic AI Workflows Attention is All You Need,

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:24.357631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:49:20.108200Z digest=sha256:17a71c6e6222716dab4fe4bd33b6eb20f84c7227cdf4d05b183ff58ef49fecf0

Observation b241b6e3-d643-4195-a866-ff4b98ca2bcf · outbound

This paper cites SmartHarvest: Har- vesting Idle CPUs Safely and Efficiently in the Cloud,.

Architectural Implications of Agentic AI Workflows SmartHarvest: Har- vesting Idle CPUs Safely and Efficiently in the Cloud,

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:24.169218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:49:20.173555Z digest=sha256:3166ad61d3705731feee339a7d5cbc9d3dd958d45ba0adc89d529b8f5e5998bd

Observation 355844c6-0d46-4f67-95a6-613f1a07a3c1 · outbound

This paper cites WSC-LLM: Efficient LLM Service and Architecture Co- exploration for Wafer-scale Chips,.

Architectural Implications of Agentic AI Workflows WSC-LLM: Efficient LLM Service and Architecture Co- exploration for Wafer-scale Chips,

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:24.027455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:49:20.227654Z digest=sha256:222d4065eee40c787a4491085182067536dea8b40dd25b2bcc934498d200bd89

Observation be198d5f-6e14-49f1-b8a0-a4ca012b7f51 · outbound

This paper cites SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering.

Architectural Implications of Agentic AI Workflows SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering

Reference 71

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unresolved
no resolver link, observed 2026-08-06T23:49:20.282010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:20.282010Z digest=sha256:b66b1fbe20f96383e399a3e3c9813a2a633462a2604199458abf00eb0c5ccf20

Observation 3dc734a3-bb08-40cb-ad42-c524e84535d3 · outbound

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

Architectural Implications of Agentic AI Workflows ReAct: Synergizing Reasoning and Acting in Language Models

Reference 72

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:20.370827Z digest=sha256:d526ffa2003b1b2e558ae503be8fcaa60806fc7b53df02a90b4e0e767a3cd4b4

Observation b3f937ad-014c-43db-a0f5-9054ece18a2b · outbound

This paper cites Speculative Actions: A Lossless Framework for Faster Agentic Systems.

Architectural Implications of Agentic AI Workflows Speculative Actions: A Lossless Framework for Faster Agentic Systems

Reference 73

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no resolver link, observed 2026-08-06T23:49:20.435352Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T23:49:20.435352Z digest=sha256:cc275dbbf58911380b2d4e23bc939ad4405d26473feadc5133e856b399cea65d

Observation ded9fdac-c96c-4cee-8208-0ab256cad5a3 · outbound

This paper cites Orca: A Distributed Serving System for Transformer-Based Generative Models,.

Architectural Implications of Agentic AI Workflows Orca: A Distributed Serving System for Transformer-Based Generative Models,

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:23.882612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:49:20.512503Z digest=sha256:142886891890c8dbb024eeb07b77cfc1ebd02300d66cf134b2273864d49cc20a

Observation 11b95232-9949-4d7c-a9e7-4d44e760fde8 · outbound

This paper cites Pythia: Exploiting Workflow Predictability for Efficient Agent-Native LLM Serving.

Architectural Implications of Agentic AI Workflows Pythia: Exploiting Workflow Predictability for Efficient Agent-Native LLM Serving

Reference 75

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no resolver link, observed 2026-08-06T23:49:20.607618Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T23:49:20.607618Z digest=sha256:bf67359c1fb31198ea14c8de9168faa267bb9ffe5c42a3c9b96a9ce0f020a9f3

Observation e3f0d661-45ac-4e7c-812a-399762505f7a · outbound

This paper cites Agentic AI Workload Characteristics.

Architectural Implications of Agentic AI Workflows Agentic AI Workload Characteristics

Reference 76

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verified exact
local_arxiv, observed 2026-08-06T23:49:21.757892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:49:20.692099Z digest=sha256:213f25321fbb8fafec4408f09259d41d64c50100342d2c5a3084e75586e53526

Observation 194a4ae8-fd59-4179-b637-435a57aa65e6 · outbound

This paper cites AccelOpt: A Self-Improving LLM Agentic System for AI Accelerator Kernel Optimization.

Architectural Implications of Agentic AI Workflows AccelOpt: A Self-Improving LLM Agentic System for AI Accelerator Kernel Optimization

Reference 77

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no resolver link, observed 2026-08-06T23:49:20.763980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:20.763980Z digest=sha256:146cec64c10234151df0d718341174c8be033dc4b255b9d3133580f52e2455ef

Observation 57eb309a-8543-4e1a-a848-df11278ad04e · outbound

This paper cites Faster and Cheaper Serverless Computing on Harvested Resources,.

Architectural Implications of Agentic AI Workflows Faster and Cheaper Serverless Computing on Harvested Resources,

Reference 78

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verified fuzzy
raw_fallback, observed 2026-08-06T23:49:23.731313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:49:20.871762Z digest=sha256:20ae0e69120f84aadc4e5d053c298bdd7f13a274248c02f71c247e70d47a1b51

Observation c093365b-2ceb-48c4-9355-9d96df357b70 · outbound

This paper cites History-Based Harvesting of Spare Cycles and Storage in Large-Scale Datacenters,.

Architectural Implications of Agentic AI Workflows History-Based Harvesting of Spare Cycles and Storage in Large-Scale Datacenters,

Reference 79

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verified fuzzy
raw_fallback, observed 2026-08-06T23:49:23.606074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:49:20.932161Z digest=sha256:ad0c139cd14e7908245e284470e9596320efbe4fb8497900da0208d31baf9845

Observation 4988c439-1eab-41ad-ab9d-61e9041cf897 · outbound

This paper cites ALTOCUMULUS: Scalable Scheduling for Nanosecond-Scale Remote Procedure Calls,.

Architectural Implications of Agentic AI Workflows ALTOCUMULUS: Scalable Scheduling for Nanosecond-Scale Remote Procedure Calls,

Reference 80

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verified fuzzy
raw_fallback, observed 2026-08-06T23:49:23.491493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:49:20.999787Z digest=sha256:991a244a4f8ea1fbaeeaacf422c908a8d4c15cdccdf72adb3e27ede0b2b182af

Observation 8d6a3c32-0785-4898-96c3-c87955e1fb0d · outbound

This paper cites ALISA: Accelerating Large Lan- guage Model Inference via Sparsity-Aware KV Caching,.

Architectural Implications of Agentic AI Workflows ALISA: Accelerating Large Lan- guage Model Inference via Sparsity-Aware KV Caching,

Reference 81

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verified fuzzy
raw_fallback, observed 2026-08-06T23:49:23.341827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:49:21.077794Z digest=sha256:f1daf32674bcee14c0ceba811fb39432bdf41bacd4c9110f3ca9ac6cd0bd2021

Observation a357c2a9-af11-44b1-ad78-c109453dd047 · outbound

This paper cites MAGE: A Multi-Agent Engine for Automated RTL Code Generation.

Architectural Implications of Agentic AI Workflows MAGE: A Multi-Agent Engine for Automated RTL Code Generation

Reference 82

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no resolver link, observed 2026-08-06T23:49:21.149678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:21.149678Z digest=sha256:5a58c5a1aca5a0e33aeebbd523b40b58aa61ed1ef3ce367093b5cf2091c5e8b9

Observation 668652c2-9e65-4363-8e25-2b6060b73a8b · outbound

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

Architectural Implications of Agentic AI Workflows SGLang: Efficient Execution of Structured Language Model Programs,

Reference 83

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verified fuzzy
raw_fallback, observed 2026-08-06T23:49:23.186858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:49:21.213607Z digest=sha256:35a8a70dc9cf197e6fbc7916d93d822ce8966ee2e053245c87e4d6a86e98cd49

Observation 1710c802-7353-46b8-bfbc-1b289696f11a · outbound

This paper cites PetS: A unified framework for parameter-efficient transformers serving,.

Architectural Implications of Agentic AI Workflows PetS: A unified framework for parameter-efficient transformers serving,

Reference 84

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verified fuzzy
raw_fallback, observed 2026-08-06T23:49:23.017873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:49:21.427575Z digest=sha256:d6c34fa0af2eff6e942132f75dcf6a108eefe687fadad4c93900080cb8be76aa

Observation 13afa92a-cb0d-4485-ab58-6a1b28d991b0 · outbound

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

Architectural Implications of Agentic AI Workflows SGLang: Efficient Execution of Structured Language Model Programs

Reference 2024

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no resolver link, observed 2026-08-06T23:49:21.307084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:21.307084Z digest=sha256:fd3dcf7606c00549cc0f0f1d108c2e2cc6e928f94f64cd760c55ab746c9c7551

Observation dc1222b4-c4f8-4104-8ca3-37be6ebfbe42 · outbound

This paper cites Available: https://www.arm.com/technologies/big-little.

Architectural Implications of Agentic AI Workflows Available: https://www.arm.com/technologies/big-little

Reference 2025

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no resolver link, observed 2026-08-06T23:49:13.093850Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:13.093850Z digest=sha256:ac9c627f0176c33cb012a5dcf9c216e8e57a38118d4aeeb86a709ac8cca32536

Pith citing papers

No inbound Pith citation observations are available.