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Paper Citation Record · LEDGER

Architectural Implications of Agentic AI Workflows

As of 8 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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raw_fallback, observed 2026-08-06T23:49:22.828935Z

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=sha256:1351e7a16eb63213f325dc47231fe75bc70aa94c9b024a85701321d1f957f959

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

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source=pdf_text observed=2026-08-06T23:49:12.391886Z digest=sha256:177205d554923a8b5f490ecd001fb9b5fab526082b1d4600b3cea96e37d53921

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=sha256:0be5c299141856df0bfad60cbee07991ae2d70fa67eea3f72e283208ced46ca6

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=sha256:366a0efbf841119ff393f7da594ff4d0b8185cf92a4fcb43fc8fad2b3077d574

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=sha256:4f2a7d18940d94402ecc1a79f9ced0dd67ccd3262f08e1e3d27fc02a799f917e

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:12.948472Z digest=sha256:43120579bab16a20012b85658303261a5cf553a88e8d6bbbc6ede9317a606d3e

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-reported events for the cited work

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source=pdf_text observed=2026-08-06T23:49:13.254016Z digest=sha256:6b1ded2a188a9d2503d1f2737b69ff6f30e01b8b1911a7f4587e33342b7987e7

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=sha256:6d2e385e1894b669e168375695d1a5a24db34ae1fcb40331f727a74e4fc30076

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=sha256:0cd79ebeb31e91fafb1ab4c95f0a804a8ad27265a2f59de36659cff3d99205f7

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=sha256:89bb001967881e2ee11a8e7140e2144cad88c9cd24eaf7a919084f5aba1d93a3

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=sha256:7588165a147ce5057b3eb243972fe381863c0fe0884172c46c2f12e390a21542

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:ef79fb1b20ff38d6cbb3d92cd690b9e786afd305da8fc88c2af0fea78a8130d1

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=sha256:970928805d3e5ab1407542cf5cbbeeb77a6cdc2bc8cb0e1648a874812d44bb67

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=sha256:74c509dae2dc49675a7ca79065b5dd2f29361bc8ff34b1931fabe22d8d125fd1

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

source=pdf_text observed=2026-08-06T23:49:14.203411Z digest=sha256:1160b698accca525bea879db5a3bdbe143c9b771a3e657955c698b4e6fe0c6ab

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:14.340088Z digest=sha256:d51a98c2ff88e55bed24aa5dae199a225fd4600f8d15877fe4e69dd911143a99

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:d236797c7f45907223821b6971d6cd7f4d9ea4414e958da4b0a86749689e0f0d

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=sha256:292c8f95f67cf124ea6cb5b280e151b6d414d3c5f005a4dff07728bc2af6136b

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

source=pdf_text observed=2026-08-06T23:49:14.676257Z digest=sha256:da155d440f1525f4ef6807151434e00667f44c4cb59ae53ffb26752f324f0ad9

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:e11819f6933ec6f150209a5933bb7e5f7d8fdd7ec426d3ea6c83467500bd6940

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:c06f97d2a3d6b2727723be01d30459d59da62be21bb37ea9b0db59eb051d4884

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

source=pdf_text observed=2026-08-06T23:49:15.073545Z digest=sha256:875fa313b703038e090a6c1a459421e4aa93fcac7d4a343df98ba247d32b5219

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:d3fa8e5e52cae2dc0ec001b63b1b0b7ac29df7f961c01e43cfc015062fffb249

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

source=pdf_text observed=2026-08-06T23:49:15.305536Z digest=sha256:058aa549bd8fe31da704dd3195818f4300614cb0e75f44bcbe51ef82f746082c

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=sha256:0ebbcfa7452008a7ddd8366f0aa5960dc59a1cc602db53f9ee1ac7bbc3412c56

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:d7a254e2ac6d2bf0bb801172bd3b594df8782103f724cea1f1227eb503cf80d8

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=sha256:621b701ef824bcd344f46ce3e04445f0d4c45cfedd42f6eba60d0fddcb2e13ef

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=sha256:19372db8e920e779dfd8cabc152fdeccc0f8c1ba822938c074e69ff6c01c922e

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:fb5b4b073f3c42edb4471a3acb866b84ec7a5d052c14c866c8276f3323c1c5aa

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:bf57dbcd3d4429379a01d11cb4f5105b0a98410404c159e756dbc63a98c92698

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=sha256:11a563736173357d73001093f27975f8416bd024f0c249ad527decda2033d1c9

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:c98cd6c5e1c2f7739b2119516ece474c9fc737939a98d55375e4d07e4368f12a

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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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=sha256:1bd04773e8c6af9851bfb6c91fc1bd5ceb464346a4e03433983469bfc77c9caf

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=sha256:2a466da8e0f22a57775a91b8b5250c2eebf71176f934a232d2a054a5cafdd16f

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:f7f12717a42186fd09d20510a4a5fabaf2b3d4d76d391c3d9dd231d4af7b9e6c

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=sha256:12226c2db108fbb9b150b69e41361cb88cddf2cda03b0e194da295b9bdfbfdcb

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:e116113731e38ebb77e5068330e999b7f4e91edd6d2ff70d2766708aca4fd847

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=sha256:6a35dfadede6af2c5719cd477a2dd9472742fb2ae3630fdf2d7e3d06cc04098f

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

source=pdf_text observed=2026-08-06T23:49:17.179748Z digest=sha256:4bc48644697789e9123877170437cb5cddba75cca2a5ba6c595c457b7a9da503

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:c20437b38d371905d44f2184eabda1f61da159749bd0006cf10ea176ccb8931b

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=sha256:3727abbcfcb4d7aabd1f27a424dc79660623ddd408581b6b43338cdd235b163e

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:e99db6827ee75e00de964ec24c32519ea55fc308c0e86e968d7e6c79235b25a2

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:d803ca247b4cbf01bc6a5b3a2f9c0a4565dd4dd0e28f32eef7a306db192a580b

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=sha256:4310ad6aa030ae3a1a3155fe23eca158bcc6f35af064ea3d92ec7b83b98be946

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:c0a0adb3d5df4ee7cc08b7d23d1a3fa4dd2d7db253cac7d448534dc700e45402

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:aaed9d0d94c0b66b7acc63db1faf7b776846a8378ead07b695d68333e9048ffc

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=sha256:57e6a012e85ede91710092b8a49df752ff30b0e76551f90f3307ac5a81aec943

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=sha256:1e4d397b2b6d8f84eb97eca673476cd885186284b5afed09e9f099ea7d1186df

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=sha256:639ac5e1b24df9ab6406923018c74052b3c55fa2845519c0bae4c0fba995bee2

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=sha256:631fe0ed2f3b16a12715d38603085cded34997b13057bb0b5d83c1f6c02100ab

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=sha256:0b7c5864c4542a78607ccd23017f3738a3fd9f4ef0dd0dd5f1828588ebfb3102

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:fb2987f4bedc6d68548dcf219581221eb5c35c2c3acd9f07ddabd7724ab88dcb

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=sha256:5174377678f7f83e85ecef92d66b1728071b6138abae641365537d20f0268014

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:c35d23131efedb2ad181a12d2847ae34bcf626ed4eccfc8c31c55af1e118317d

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=sha256:99d911c5745dd10d1fdb1b98765aa0da51498da945f51a602829694c05168b99

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=sha256:731c38e9ab81d1d61c0d2be4e1ceaa16acd1d8e7cbd80f6051c192ccfebdbe00

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:e2e5f0b0200029933fb8d7c58e2f1619e0abb11d133326a93cb2289a7822c7d3

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:c7500979e3c2932eb5acf708d450ae363a3905c58b25723861da41c2e5f556b0

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
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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:cd5990bc7e1c02759056dd40a9e551f52716ef1bf9336fbf96fc44c18fc39095

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=sha256:0f322fe3970bc82a0bf6c02a86db662148b9edcb1aae6e6ba003188051511ef5

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
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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:e5935f74a78354906ed415ce3b6d903dc19ec9e04c4e79093d3e57a0e6933bb7

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=sha256:8958ddcb238a17cb93877d07da34f6f433ad18607ee449c6ce2d0182a86d1935

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=sha256:7d507df7dc3d15eeac8f9719e033ce816795fffad15f14447cd751e1355ce78b

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=sha256:30561064684c829afd0889909f53af55b9a3e9503de45b4bca1628057cb784b1

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:b32e5675dda3c505b7bb73798be3b76dea45c6d904d4beb503b3bac444eb2450

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:f555a1e83702333541270f226719d426bfa06026eb77745db49d6cc0e0c5de3c

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=sha256:056bb01e2d737760f45cf5904e2ce2b824f82617fe64bd7176655c32ea151a18

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:b906371b26a0529c1fa7f162abac53a0a2552d9623a3534fac938c852171aad4

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=sha256:948618ea6ff36bdd345d1650424ace1c02c66ab8b0adc0e88aca1f44c6228175

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=sha256:5e621bf9e0120325aaebe898fec88d3ff92f7a97b91c827190ce78cc524bc750

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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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:cc9260d7e916ecfbf9afc1db47896532d586dfa8aa05bcea63c8e36e4e7713d1

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=sha256:6f1d9523e88d83a24e39c96de8539c7702faf12352400bb4c95dd3c499ce9086

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

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source=pdf_text observed=2026-08-06T23:49:20.435352Z digest=sha256:849e4304313ad844cabc75c95e5c2ff885faab5782bebb7ad567d3080fc4515d

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:b751d1a752dc24c6465d590c87e2fee0a61c1e4005fbbd63b37f05331609966c

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=sha256:43e6cf7d788f87aa37e2162cec2ef1e6390701f291c335d62cdd09f6e29518e6

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:dab07fefa76a8434d4e3bd0de99fcdab580ae2505ac58258b40534986a172305

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=sha256:841157d7c4ef9ea591a9f444c212894a94309e0b2731615749722ddbc26930c9

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:a4712149beb93d2a84c23060ba11e7d75e4de6e4259b52537591d56a8ab7bfb5

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:d348025ee86b759352ba0d07faae3469ad06873f3a67a95dbf6c3d7a7547dae6

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=sha256:0bd806f4358d2db8c0b4f5dcb5d8365c4c4cecb71b28a27d5f197a11d4c318f3

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=sha256:2eea6c788449ed62351cc1688e3ce4aa0c8c22d680639247b8357090a155c722

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=sha256:35ebb72658f9e8c14dbd4ef17d5b08841f755dbdd898f9a5123d0efda90128a3

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:cf071ef771ed0ce65dfee1f635675d3af530b38de6b223eecff1bd146f2283e1

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=sha256:9f759c004de819dc8303d8049bbae58bbdef4de1899bd2d03007a1a0e41c62ae

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=sha256:046cd9229e723584c1bbb9de762a79a8d89d7004d581bb30c2a2adefc85ac5d0

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:13.093850Z digest=sha256:d98fcb5056c6c379c69119ca48655f0f56ef5cdc809d5826dfc6c07173c9401f

Pith citing papers

No inbound Pith citation observations are available.