Paper Citation Record · LEDGER

Agentic AI Workload Characteristics

As of 19 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 2 inbound Pith citation observations for arXiv:2605.26297.

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

pith.paper-citation-record.v1
2605.26297 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T20:11:50.722787Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:49:20.692099Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T23:49:21.653494Z

Reference resolution

40 of 40 outbound references displayed

verified exact15
verified fuzzy0
unresolved24
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3eeba80d-b68c-4501-8600-efe88d73a3e7 · outbound

This paper cites Claude Code: Create custom subagents,.

Agentic AI Workload Characteristics Claude Code: Create custom subagents,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-29T20:11:50.722787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56b756e5-2c4a-445a-bca2-3587729cf816 · outbound

This paper cites Claude Code: Overview,.

Agentic AI Workload Characteristics Claude Code: Overview,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-29T20:11:50.722787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03dd8185-ae85-420a-94d3-21f72f2251be · outbound

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

Agentic AI Workload Characteristics Efficient and Scalable Agentic AI with Heterogeneous Systems

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-06-29T20:13:58.827866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1d09e232-b7e5-4116-87a6-ffecb89811a8 · outbound

This paper cites Unrolling the Codex agent loop,.

Agentic AI Workload Characteristics Unrolling the Codex agent loop,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-29T20:11:50.722787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fcac8361-66df-432d-bfb2-7baf584dab90 · outbound

This paper cites Lmcache: An efficient kv cache layer for enterprise-scale llm inference.

Agentic AI Workload Characteristics Lmcache: An efficient kv cache layer for enterprise-scale llm inference

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-06-29T20:13:58.830384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3d95fc5b-f528-4013-b57c-824d67e1275a · outbound

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

Agentic AI Workload Characteristics SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-06-29T20:13:58.835453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1f99a9bc-e4d2-4d84-9274-6d901d19469c · outbound

This paper cites DABstep: Data Agent Benchmark for Multi-step Reasoning.

Agentic AI Workload Characteristics DABstep: Data Agent Benchmark for Multi-step Reasoning

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-06-29T20:13:58.838083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e89e0d70-0a17-4f7f-bf31-566562d13eff · outbound

This paper cites AgentQuest: A Modular Benchmark Framework to Measure Progress and Improve LLM Agents.

Agentic AI Workload Characteristics AgentQuest: A Modular Benchmark Framework to Measure Progress and Improve LLM Agents

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-06-29T20:13:58.832980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 28206a7e-9254-4138-91a6-15e956085925 · outbound

This paper cites Gemma 4: Byte for byte, the most capa- ble open models,.

Agentic AI Workload Characteristics Gemma 4: Byte for byte, the most capa- ble open models,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-29T20:11:50.722787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6094238b-6037-459d-9cce-0b47d3537c8a · outbound

This paper cites Harbor: A framework for evaluating and optimizing agents and models in container environments,.

Agentic AI Workload Characteristics Harbor: A framework for evaluating and optimizing agents and models in container environments,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-29T20:11:50.722787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 525fdf98-6d25-49cf-b1e1-590750308560 · outbound

This paper cites Jaeger Documentation,.

Agentic AI Workload Characteristics Jaeger Documentation,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-29T20:11:50.722787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15b76e7d-581b-4b46-8c10-f40181400877 · outbound

This paper cites Highly accurate protein structure prediction with alphafold,.

Agentic AI Workload Characteristics Highly accurate protein structure prediction with alphafold,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-29T20:11:50.722787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 334521de-30d3-4521-b688-1c06d28b32e6 · outbound

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

Agentic AI Workload Characteristics ThunderAgent: A Simple, Fast and Program-Aware Agentic Inference System

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T02:17:44.266933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b83925f1-9ede-4dd0-b153-b4ee56930ba2 · outbound

This paper cites The cost of dynamic reasoning: Demystifying ai agents and test- time scaling from an ai infrastructure perspective.arXiv preprint arXiv:2506.04301.

Agentic AI Workload Characteristics The cost of dynamic reasoning: Demystifying ai agents and test- time scaling from an ai infrastructure perspective.arXiv preprint arXiv:2506.04301

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-06-29T20:13:58.850687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1aa30613-9a4b-4e8b-8a09-99fe4ff18b1e · outbound

This paper cites Efficient memory management for large language model serving with PagedAttention,.

Agentic AI Workload Characteristics Efficient memory management for large language model serving with PagedAttention,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-29T20:11:50.722787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20221ce6-028e-41d3-9254-b4400b471596 · outbound

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

Agentic AI Workload Characteristics Continuum: Efficient and Robust Multi-Turn LLM Agent Scheduling with KV Cache Time-to-Live

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-06-29T20:13:58.853355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 21729de7-c359-438e-926e-00c76a40dbdf · outbound

This paper cites Parrot: Efficient serving of LLM-based applications with semantic variable,.

Agentic AI Workload Characteristics Parrot: Efficient serving of LLM-based applications with semantic variable,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-29T20:11:50.722787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99889b23-c29c-425f-ab63-ba4cb2025344 · outbound

This paper cites AgentBench: Evaluating LLMs as agents,.

Agentic AI Workload Characteristics AgentBench: Evaluating LLMs as agents,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-29T20:11:50.722787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5798e88d-7b00-435c-988b-1b224b288c43 · outbound

This paper cites AgentBoard: An analytical evaluation board of multi-turn LLM agents,.

Agentic AI Workload Characteristics AgentBoard: An analytical evaluation board of multi-turn LLM agents,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-29T20:11:50.722787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe3a6ea6-693b-4610-a129-dfce44b43809 · outbound

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

Agentic AI Workload Characteristics Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-06-29T20:13:58.843019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 484af9a3-f493-4104-abbd-4616935df8f6 · outbound

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

Agentic AI Workload Characteristics GAIA: a benchmark for General AI Assistants

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-06-29T20:13:58.845415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a78b8595-30d3-4d7d-b7cf-c45a6bbbe0f7 · outbound

This paper cites Introducing GPT-5.5,.

Agentic AI Workload Characteristics Introducing GPT-5.5,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-29T20:11:50.722787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 469ece22-e86a-4a55-9be3-de7864546019 · outbound

This paper cites OpenClaw: Personal ai assistant,.

Agentic AI Workload Characteristics OpenClaw: Personal ai assistant,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-29T20:11:50.722787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e7a6fe7-afad-4990-b759-a0fe733dd0fe · outbound

This paper cites OpenTelemetry Documentation,.

Agentic AI Workload Characteristics OpenTelemetry Documentation,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-29T20:11:50.722787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90819a48-dd3f-4943-b99b-ea5b8a2f9d83 · outbound

This paper cites The Impact of AI on Developer Productivity: Evidence from GitHub Copilot.

Agentic AI Workload Characteristics The Impact of AI on Developer Productivity: Evidence from GitHub Copilot

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-06-29T20:13:58.840498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fe75fcd3-a47f-459e-a16a-a165a87e1d38 · outbound

This paper cites Qwen3.6-27B: Flagship-level coding in a 27b dense model,.

Agentic AI Workload Characteristics Qwen3.6-27B: Flagship-level coding in a 27b dense model,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-29T20:11:50.722787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a599a8a-8cc0-42e4-9e44-e2383fe54e9f · outbound

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

Agentic AI Workload Characteristics Towards Understanding, Analyzing, and Optimizing Agentic AI Execution: A CPU-Centric Perspective

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-06-29T20:13:58.822848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9683dade-450e-405e-93eb-2ad24427038c · outbound

This paper cites Alto: An efficient network orchestrator for compound AI systems,.

Agentic AI Workload Characteristics Alto: An efficient network orchestrator for compound AI systems,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-06-29T20:11:50.722787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92ce52de-7c7a-4037-8c16-23948dfaa92e · outbound

This paper cites Toolformer: Language models can teach themselves to use tools,.

Agentic AI Workload Characteristics Toolformer: Language models can teach themselves to use tools,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-06-29T20:11:50.722787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 698f8245-8231-4c04-b80d-5580c1c9c8b5 · outbound

This paper cites Reflexion: Language agents with verbal reinforcement learning,.

Agentic AI Workload Characteristics Reflexion: Language agents with verbal reinforcement learning,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-06-29T20:11:50.722787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6cceda1f-bf00-4634-98eb-e8b2014aa949 · outbound

This paper cites ADE-bench: Analytics and data engineering benchmark,.

Agentic AI Workload Characteristics ADE-bench: Analytics and data engineering benchmark,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-06-29T20:11:50.722787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6e61a0e-6d32-40b4-9a91-753696819908 · outbound

This paper cites Automatic Prefix Caching,.

Agentic AI Workload Characteristics Automatic Prefix Caching,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-06-29T20:11:50.722787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 502c3719-a572-44f4-b833-c5bf4ae951af · outbound

This paper cites Efficient llm serving for agentic workflows: A data systems perspective.

Agentic AI Workload Characteristics Efficient llm serving for agentic workflows: A data systems perspective

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-06-29T20:13:58.817638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a8e6b6d5-daa9-4c3d-8421-4105bb54a328 · outbound

This paper cites AgentRace: Benchmarking efficiency in LLM agent frameworks,.

Agentic AI Workload Characteristics AgentRace: Benchmarking efficiency in LLM agent frameworks,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-06-29T20:11:50.722787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d546534-00d0-46cc-a78a-6d27aa7dcad3 · outbound

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

Agentic AI Workload Characteristics SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-06-29T20:13:58.815023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 01d998d3-ea0c-44f0-8d9d-359d6a0d9d6d · outbound

This paper cites Webshop: Towards scalable real-world web interaction with grounded language agents,.

Agentic AI Workload Characteristics Webshop: Towards scalable real-world web interaction with grounded language agents,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-06-29T20:11:50.722787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0782da1a-54e5-4bb5-a5aa-a7a7e02d2358 · outbound

This paper cites React: Synergizing reasoning and acting in language models,.

Agentic AI Workload Characteristics React: Synergizing reasoning and acting in language models,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-06-29T20:11:50.722787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2146a5e3-4af4-4298-8c23-df499522a07e · outbound

This paper cites KAIROS: Stateful, Context-Aware Power-Efficient Agentic Inference Serving.

Agentic AI Workload Characteristics KAIROS: Stateful, Context-Aware Power-Efficient Agentic Inference Serving

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-06-29T20:13:58.820220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7036469c-86ef-4c5e-bef3-aef1a333e13a · outbound

This paper cites AgentCgroup: Understanding and Controlling OS Resources of AI Agents.

Agentic AI Workload Characteristics AgentCgroup: Understanding and Controlling OS Resources of AI Agents

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-07-23T02:24:10.816409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1aaffa78-7eaa-4081-8d26-f0043da543cd · outbound

This paper cites Language agent tree search unifies reasoning, acting, and planning in language models,.

Agentic AI Workload Characteristics Language agent tree search unifies reasoning, acting, and planning in language models,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-06-29T20:11:50.722787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation dd5ab36d-93db-4b60-a349-104ac7095440 · inbound

Agentic Coding in the Wild: Characterizing GitHub Copilot Traces at Production Scale cites this paper.

Agentic Coding in the Wild: Characterizing GitHub Copilot Traces at Production Scale Agentic AI Workload Characteristics

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-04T01:22:02.791299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Architectural Implications of Agentic AI Workflows cites this paper.

Architectural Implications of Agentic AI Workflows Agentic AI Workload Characteristics

Reference 76

Resolution: 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 2026-08-19T06:32:44.657259+00:00.