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Paper Citation Record · LEDGER

Architectural Implications of Agentic AI Workflows

As of 7 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 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:49:12.261862Z digest=sha256:46a5fa0a801c6e13479ab391fefbfd25f27885ea084c9fe6ebd5a3f3b2be9933

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:12.391886Z digest=sha256:6b3a41273efab7f570035e6310b0828a6d4cae9b91889f2cf1a2e1da21e9a423

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-reported events for the cited work

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source=pdf_text observed=2026-08-06T23:49:12.501057Z digest=sha256:a9d85186844115046cb6730f266bb478334cbd5b7ffe7deda80959f87c5472d2

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=sha256:5c013a1345c065550c42778c5199fd493a40664cf77ad06ee461fc6762ecab35

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-reported events for the cited work

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source=pdf_text observed=2026-08-06T23:49:12.787123Z digest=sha256:d2e454327207e17b6bd923cf883abdc204d77433a4dd5753ff9a81b54655f67d

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-reported events for the cited work

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source=pdf_text observed=2026-08-06T23:49:12.948472Z digest=sha256:0e8d10a788d5410601f8a3b721f9ff3f1bbe79c879bfd4aa61adcf3a08f4de8a

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=sha256:5f865d3ccfe8373a8c4218683caf4fcd633ff38cee57707c7e65fc9e7dd8a3d3

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:c80be7d14cccf6903a0c1c8053a5c97d015ac02deb8d16aa3607ddcb33e73ac0

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:13.524076Z digest=sha256:87b92c0d25256acbbe7a634498ce3bdf38b0c9d81986bb4d4308088a15ca51eb

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:13.653093Z digest=sha256:65902687a2e415ff29e90c9192cef687fae2d96aa04f34498d06cabdbb489f10

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:49:13.760786Z digest=sha256:7bb2221f05c1199aa993fbb055c401369442aedc37b02ad2c539c981fc99fef1

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:49:13.842989Z digest=sha256:f6c0778da0ed6fe926ff44ad365c9f9c458307c6229269fcd8559082570b53cd

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:13.944332Z digest=sha256:305238852a5123ceda5feefcae5e1027e941412af2ac139b47e2e1aa334d383d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:49:14.076391Z digest=sha256:ee44921aaa654c19e4fb80ce21ef0f9feef7a23f1143036760002a9623364b34

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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raw_fallback, observed 2026-08-06T23:49:29.207997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:49:14.203411Z digest=sha256:8b1476a09285bebefae73461ff28148cb70d9fb529e204577a65481c636f9f15

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:14.340088Z digest=sha256:1c46cf2182659ce04c7ddb0f66fb2d2023cd2aa5f9dc1ee2a04cb55c216b26ec

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:49:14.420336Z digest=sha256:fe207bce10a38f264b53f1928475f7b72882da0a63d1fe55251436e51b6dc55c

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:49:14.540618Z digest=sha256:df8d03b7f5ef373c52ff5353266299891b6eddcb041c9bf60fe4253da455c68d

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:49:14.676257Z digest=sha256:8635c7790996eff18f4e61ae6d4d8e40198309a497ab53eb59164a9162e8089f

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:49:14.798494Z digest=sha256:bd530c751584eef9d5ac877c117a2990db9bf6b67f1d037a722bb0c0ef6b9dd5

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:49:14.924370Z digest=sha256:3880d8f0b9847882ed12f53f0bba5b83fc91ea87f6eab5720142eb20e954ea8d

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:49:15.073545Z digest=sha256:34bdba903157f7ea8408ec5e6c4b454bad5bfeaa8041c32afdce84c28918e802

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:49:15.178151Z digest=sha256:728792b72a5e601c49c8030e7144346a84589104a00e35edfef35af1b76edebf

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:49:15.305536Z digest=sha256:474b965707e2116fcd77a3a50aa1109b0c0c4fb8df93c75a6b220bd724273a2d

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:15.427271Z digest=sha256:04c489af6827eb0ea9d60778c6a46e3eaf5feed8b00e113af9457220eab5e516

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:15.590641Z digest=sha256:f283b909501394758cecd80dcca080a3f925ca363228b992cb9fe701d6708c83

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:49:15.753079Z digest=sha256:ed95a83092a58f4b2ec3855b78c1c922db2c15f967c53f0c226c0c6af692cbc3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:49:15.862945Z digest=sha256:74cdf1a5d01e9bbe0f023cdbdecf48fbf3a3554fadcd05e946b535ed28bdb687

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:49:15.981433Z digest=sha256:fc7e67036bb2194a76f94a8a2469b3edc3b8f057e72e1d9d9cf59d7eab86c67a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:49:16.090630Z digest=sha256:90bbb25396bfd2b37be0557c999876ee9070d86bffff0c2f502aa805ad594b06

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:fa4e87882b2c75179f43be3975c6fc63d7726ec01e6b71fc941fc39fc58201e2

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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raw_fallback, observed 2026-08-06T23:49:28.101462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:49:16.288481Z digest=sha256:74b0e36b697e85264a7dc5070ae7120df2d99f66aa52df6ca6d45a2088003d7a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:49:16.389584Z digest=sha256:928493a9d80c3abda423182f7204efd17bb95c38d65a47e559e9890ae8757ec6

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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raw_fallback, observed 2026-08-06T23:49:27.565210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:49:16.506907Z digest=sha256:80e525cb5cfaec6b91fea3563c1b11a64569b04bf4477aba4e23e27170ecdc3a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:49:16.624746Z digest=sha256:463c1a5efc16c1335bbfcb527a8290453fa2db4ef0ed32b5e8a7657c7323b6f7

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:e70b0026580aaaa1ee6401bd7248a942699fdb5c40249e1b585ef64e62d92c2c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:49:16.926199Z digest=sha256:3e14517a64275a05887ac3794bdb331b16045c94c3904f0c99b5b5ff82b86b0c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:49:17.044906Z digest=sha256:94a0026cb4cfc4309c8021e7eaa02071f4693b63febb5e019a0f378cfea84f77

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

Resolution
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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:49:17.179748Z digest=sha256:3ecd0c2f1c57402dff0cfddc343b87a519be1b52dd5faeb91dccb9fa5ea73314

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:49:17.308281Z digest=sha256:78aa0f3d908dcb1cc48ac7f6e832c2dc13e17fb2e958f71e0938435dcd586e81

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:49:17.484727Z digest=sha256:5513fa36cb3f3f68f46b1eb033a55017ad26882e8a74b21a40c0357e8b9d34b0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:49:17.598440Z digest=sha256:32cd490f4ae515336a75fedf85ae639bca8c3f72041d6ebc4ac4631e5be43d2e

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:d9d797f36686769447065887d0b81b29954b94c0ad8507014bd14aaaa8558f2b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:49:17.802965Z digest=sha256:89b02352924b82338069ff2d76303c99b4aa855202e88cd242561c7e59d793a8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:49:17.928828Z digest=sha256:a9108e7b2d57de7a6d13c144714c1f417ffcd46aa425986f516d06394394c025

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
unresolved
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:bafe2d7c6c9a1e4a7f26ca1b034a43ea2eacbbdfd56487757cd42a9221ad5cff

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:49:18.222260Z digest=sha256:030866bd71417a2a48d1e6ea896b092e09adb681db0a880e3b45bee71691db89

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:49:18.340202Z digest=sha256:7ab306647a3eec1be082f456c2000a02ef0942c2cc6befa7ed3e24dbc896eea6

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:49:18.489631Z digest=sha256:65c7c27056ac9bbffb5737286bd3ec88da66001f8d364e9126dd53adf0f42169

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
unresolved
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:e21ce97d6d1ba6db68bcfbfd670ed25d8de334ed953832af4ef72ee076b3fc18

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:49:18.769902Z digest=sha256:fcb6eabc4980e6ddbe9decfb53d2adccb4390a785750215bfaa1486778e4f37b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:49:18.890642Z digest=sha256:da71ba382975505ca8aa2e44453db747bdc1821c9b5f713569b4b9985be70e85

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:49:19.031890Z digest=sha256:560fa806e516897485eeecf2fde092b5589e74a2c587dc886a7cd9a044268123

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=sha256:313b59fa0e95b1a058dae48dcef70df6d6a08f10dc7603ddefc639c06d8edfa5

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
unresolved
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=sha256:580c77a20ac6fa864a9df733f2542f0e7b7ab6ef64bb47e9e81c746ccec9c73b

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=sha256:8c39d43f9f56a739130372adc443bc7ca4f98a0e690d1baa78f4de07b79941cd

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
unresolved
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:e18513f110136b578022b81ec68a51ec2cabd32062de171ce726ee94492355d6

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=sha256:81c1543cd0c714e3b343b511169b3567362699d63634695693057c1cf1d5040d

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=sha256:91813294e6e45c1e596a89cd582dd635166bd13642448c2ad01914b8d5f2b6e1

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
verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:49:19.556695Z digest=sha256:7ce23c01bfdeaebc9347b64cc17652bba3ebfce588809c868bbd296712bd23e1

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:49:19.648108Z digest=sha256:2280f7d3fa7ff780c8e8ecbc3b595b9e7fa7fe6438ae50837f806ce0c823c1e5

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:49:19.740414Z digest=sha256:5d9ccb50ace49fdab3223c0a0ac6e16a0046d1dcbb38a87aaf9ef38ff8f7e034

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:49:19.804868Z digest=sha256:5e7bb6107c2fe7fbe375e6be6aaac780c7fcfa2d2640cccbf326fc992c9dc9cb

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:49:19.877516Z digest=sha256:c9fb4ba3a1d1db3b2b06e13ac514b266d312eeeaa8a31e10d6dc83d72f7b81cd

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=sha256:679fc837ff899164beb97a48e23e2cab08d8b29b9492261aa24c3c1fe635f733

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:49:19.987268Z digest=sha256:c4475af6c3ae0fe8e3ec9c38806d5b8c361a80b31eca594b3fa4556345675dc9

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

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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=sha256:87aa4c259ed61e3dea2cdb59d90b94a41c670b19c90541c296fc85368b4b867b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:49:20.108200Z digest=sha256:6c5022be9551a3ec2add2926eea363f9b68d06eab99b8ed556c2420b093cca9d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:49:20.173555Z digest=sha256:20f3e0f649cad333ceaa62774fa25be7300fc2ce17ebb3f3c1bc42066024414b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:49:20.227654Z digest=sha256:957c6bc1c58008426321f07069ba48ae9add1533020625223b890a381ddfbdd0

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:ac589f24a4c80d98adef01c1c2305fc5f53a894de68826c8219a5e4279b99b1f

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

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source=pdf_text observed=2026-08-06T23:49:20.370827Z digest=sha256:c02cad5197ff4af42cd95d2ec8ee8d4d12301d8d4e0b1250a61e59954b0b4c09

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:20.435352Z digest=sha256:07af22ce6b149803bd413f1ae3cc0a6e5d5af8f455f886de3e1632e0e85a5407

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:49:20.512503Z digest=sha256:de13674cd73f44fd9646af94c27547b513f9cbdb974983c59338ed8edfe19d70

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:e8a328b42a68d7d8142d186378f9708a19c02d8d554f769921617f6cb0f1bc87

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:49:20.692099Z digest=sha256:c8cbc07f22969dd4ccae5327f64e6c09207c981480baccb2b15eec8317cf64b6

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=sha256:9c1ffa04f8298338615e3a74493bbd5cc1d6b562176231194f6918fc92913925

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:49:20.871762Z digest=sha256:b52a3081e788c43197626bc3c02378b65c98bfc7948d44cd1ea8fdfd9b4b5a02

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:49:20.932161Z digest=sha256:8c42f45c691773a0c6d7bf295d2e9dc45fb3977a04ac1d2246d68dffb1e95216

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:49:20.999787Z digest=sha256:537d74bdcb49263901b33fa2177b869209f675aabc77bee953321e6e34d8c9f4

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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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:49:21.077794Z digest=sha256:09b513def0d5e7efdb7a5ee855f30248131ca602580aa14738e18d473a00f678

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=sha256:9b4af6af1873015b3904d8f6b7c918c8894b3cf0e60002fc3b591cf21e1de03d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:49:21.213607Z digest=sha256:c2f7f4947c881920d5fa2418df4f958f61bb0619f669f8099ac0727f42476421

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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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:49:21.427575Z digest=sha256:310210010a4d144e75e83b51e4beb9e67081de154dde0531f3df3a3a01314165

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:d309ec09c49d2d575eeac6f0ff08723d9dcd8370f46a4e9917699b85fd6517ed

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:13.093850Z digest=sha256:1181ccefdad50baec5b0170a9d6a11b79976c3dee02f94cf04e220fcc356fa3b

Pith citing papers

No inbound Pith citation observations are available.