Paper Citation Record · LEDGER

STAIR: Effective Incident Response Using an End-to-End Agentic Planning Framework

As of 14 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2608.09524.

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

pith.paper-citation-record.v1
2608.09524 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:45:23.314233Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

46 of 46 outbound references displayed

verified exact3
verified fuzzy35
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bd448de9-09a1-43c7-9ccc-8e65c2891e4d · outbound

This paper cites Sp 800-61 rev. 1. computer security incident handling guide,.

STAIR: Effective Incident Response Using an End-to-End Agentic Planning Framework Sp 800-61 rev. 1. computer security incident handling guide,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:45:24.273259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8897d7a9-4eac-429c-8e94-866ce78988a5 · outbound

This paper cites Lessons lost: Incident response in the age of cyber insurance and breach attorneys,.

STAIR: Effective Incident Response Using an End-to-End Agentic Planning Framework Lessons lost: Incident response in the age of cyber insurance and breach attorneys,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:45:24.260213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4eeba0d8-7252-45b3-b2c9-5505b4f71e76 · outbound

This paper cites Do you play it by the books? a study on incident response playbooks and influencing factors,.

STAIR: Effective Incident Response Using an End-to-End Agentic Planning Framework Do you play it by the books? a study on incident response playbooks and influencing factors,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:45:24.248527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c30f4cb4-5467-4948-b187-1972794f010f · outbound

This paper cites How ready is your ready? assessing the usability of incident response playbook frameworks,.

STAIR: Effective Incident Response Using an End-to-End Agentic Planning Framework How ready is your ready? assessing the usability of incident response playbook frameworks,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:45:24.236740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4ca549bd-9e38-40bc-9e9f-26a9d8a594df · outbound

This paper cites Security operations center: A systematic study and open challenges,.

STAIR: Effective Incident Response Using an End-to-End Agentic Planning Framework Security operations center: A systematic study and open challenges,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:45:24.224486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0cb85dd5-9b41-4efa-8b5f-f907583f0e1e · outbound

This paper cites Evolution of endpoint detection and response (edr) in cyber security: A comprehensive review,.

STAIR: Effective Incident Response Using an End-to-End Agentic Planning Framework Evolution of endpoint detection and response (edr) in cyber security: A comprehensive review,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:45:24.211426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3b3c98d4-ea33-4af1-a65f-43c20502581e · outbound

This paper cites Security information and event management (siem): analysis, trends, and usage in critical infrastructures,.

STAIR: Effective Incident Response Using an End-to-End Agentic Planning Framework Security information and event management (siem): analysis, trends, and usage in critical infrastructures,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:45:24.198415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation dc0cac63-85fd-4376-a494-01220f2d0dc5 · outbound

This paper cites A comprehensive analysis of features, benefits, challenges, and best practices of security information and event management (siem) solutions,.

STAIR: Effective Incident Response Using an End-to-End Agentic Planning Framework A comprehensive analysis of features, benefits, challenges, and best practices of security information and event management (siem) solutions,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:45:24.185515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a8351c33-ade8-44ba-9b36-763fd696e0e2 · outbound

This paper cites Requirements for playbook-assisted cyber incident response, reporting and automation,.

STAIR: Effective Incident Response Using an End-to-End Agentic Planning Framework Requirements for playbook-assisted cyber incident response, reporting and automation,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:45:24.172157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 58cd2cde-c91f-49e0-9420-a65bfb383f28 · outbound

This paper cites Ircopilot: Automated incident response with large language models,.

STAIR: Effective Incident Response Using an End-to-End Agentic Planning Framework Ircopilot: Automated incident response with large language models,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T15:45:23.161615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e05c68e-1b14-4a17-8632-3b8c3e710119 · outbound

This paper cites Incident Response Planning Using a Lightweight Large Language Model with Reduced Hallucination.

STAIR: Effective Incident Response Using an End-to-End Agentic Planning Framework Incident Response Planning Using a Lightweight Large Language Model with Reduced Hallucination

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T15:45:23.165838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97deda30-e1b4-49b8-9c39-f1e41f480930 · outbound

This paper cites Cost of a data breach report 2024,.

STAIR: Effective Incident Response Using an End-to-End Agentic Planning Framework Cost of a data breach report 2024,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:45:24.159217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 127d05b8-3ede-46ff-9479-9f95caedfcfe · outbound

This paper cites In-Context Autonomous Network Incident Response: An End-to-End Large Language Model Agent Approach.

STAIR: Effective Incident Response Using an End-to-End Agentic Planning Framework In-Context Autonomous Network Incident Response: An End-to-End Large Language Model Agent Approach

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-11T15:45:23.562831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8835ac91-8052-40e4-83f0-e9574cdd396f · outbound

This paper cites Adaptive security response strategies through conjectural online learning,.

STAIR: Effective Incident Response Using an End-to-End Agentic Planning Framework Adaptive security response strategies through conjectural online learning,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:45:24.146229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7abe341c-99c9-4fb0-98b8-bd26f93d4aba · outbound

This paper cites Learning near-optimal intrusion responses against dynamic attackers,.

STAIR: Effective Incident Response Using an End-to-End Agentic Planning Framework Learning near-optimal intrusion responses against dynamic attackers,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:45:24.132563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 90b1f43d-ad30-446e-9bb1-4989a58e5658 · outbound

This paper cites Operations- informed incident response playbooks,.

STAIR: Effective Incident Response Using an End-to-End Agentic Planning Framework Operations- informed incident response playbooks,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:45:24.119165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b48eb0e5-f750-42f7-8bf8-bb8636f35790 · outbound

This paper cites Hallucination-resistant se- curity planning with a large language model,.

STAIR: Effective Incident Response Using an End-to-End Agentic Planning Framework Hallucination-resistant se- curity planning with a large language model,

Reference 17

Resolution: verified exact; raw_fallback, observed 2026-08-11T15:45:23.540495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 01e89f7f-c060-4161-84ad-f50cb87b7a96 · outbound

This paper cites Employing LLMs for Incident Response Planning and Review.

STAIR: Effective Incident Response Using an End-to-End Agentic Planning Framework Employing LLMs for Incident Response Planning and Review

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-11T15:45:23.395222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6bfca013-2fb2-4591-bb1e-7c691aded8b6 · outbound

This paper cites Ai-driven guided response for security operation centers with microsoft copilot for security,.

STAIR: Effective Incident Response Using an End-to-End Agentic Planning Framework Ai-driven guided response for security operation centers with microsoft copilot for security,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:45:24.105331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ef43cc50-3592-440f-a721-c1fadc37a831 · outbound

This paper cites Ai incident response playbook generator,.

STAIR: Effective Incident Response Using an End-to-End Agentic Planning Framework Ai incident response playbook generator,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:45:24.092104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b00d1a0e-e0ae-4da4-b048-d87cbdefaaac · outbound

This paper cites Large language models are autonomous cyber defenders,.

STAIR: Effective Incident Response Using an End-to-End Agentic Planning Framework Large language models are autonomous cyber defenders,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:45:24.079963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d11c0961-2d06-49ba-9f91-d7310947fd3d · outbound

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

STAIR: Effective Incident Response Using an End-to-End Agentic Planning Framework ReAct: Synergizing Reasoning and Acting in Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T15:45:23.212777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db4bcfaf-33ff-44b4-8089-8cd4948667ed · outbound

This paper cites Structural generalization in autonomous cyber incident response with message-passing neural networks and reinforcement learning,.

STAIR: Effective Incident Response Using an End-to-End Agentic Planning Framework Structural generalization in autonomous cyber incident response with message-passing neural networks and reinforcement learning,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:45:24.067641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 851849c3-74ca-44ad-abf9-454967bf0fe7 · outbound

This paper cites Reward shaping for happier autonomous cyber security agents,.

STAIR: Effective Incident Response Using an End-to-End Agentic Planning Framework Reward shaping for happier autonomous cyber security agents,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:45:24.053806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0b79c9a0-912b-499c-9302-b349731e89c8 · outbound

This paper cites Deep reinforcement learning for cyber security,.

STAIR: Effective Incident Response Using an End-to-End Agentic Planning Framework Deep reinforcement learning for cyber security,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:45:23.935041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 689a2977-1912-4172-9353-402e6ed2d9c0 · outbound

This paper cites Advancing llm-based security automation with customized group relative policy optimization for zero-touch networks,.

STAIR: Effective Incident Response Using an End-to-End Agentic Planning Framework Advancing llm-based security automation with customized group relative policy optimization for zero-touch networks,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:45:23.921381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d7b65502-25ae-4e31-84f4-d365856c1110 · outbound

This paper cites Webthinker: Empowering large reasoning models with deep research capability,.

STAIR: Effective Incident Response Using an End-to-End Agentic Planning Framework Webthinker: Empowering large reasoning models with deep research capability,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:45:23.908022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a0024be1-255a-4e63-b4c9-37070ee8fc32 · outbound

This paper cites Symbolic learning enables self-evolving agents,.

STAIR: Effective Incident Response Using an End-to-End Agentic Planning Framework Symbolic learning enables self-evolving agents,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:45:23.893921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 11b4206c-2cfd-4ab9-a6c8-5e136347aefd · outbound

This paper cites Dealing with Sparse Rewards in Reinforcement Learning.

STAIR: Effective Incident Response Using an End-to-End Agentic Planning Framework Dealing with Sparse Rewards in Reinforcement Learning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T15:45:23.242099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7109943a-1b52-4881-8291-8186c5072044 · outbound

This paper cites Code repository,.

STAIR: Effective Incident Response Using an End-to-End Agentic Planning Framework Code repository,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:45:23.880625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7ffd6d3e-1340-459a-8d24-657358ed21a3 · outbound

This paper cites A survey on large language model based autonomous agents,.

STAIR: Effective Incident Response Using an End-to-End Agentic Planning Framework A survey on large language model based autonomous agents,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T15:45:23.249651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 052be2b9-5083-4a82-a258-ce52565993b5 · outbound

This paper cites Understanding the planning of LLM agents: A survey.

STAIR: Effective Incident Response Using an End-to-End Agentic Planning Framework Understanding the planning of LLM agents: A survey

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T15:45:23.253910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 014a1f4f-6303-4362-87e9-9e7ed0e19020 · outbound

This paper cites A survey on the memory mechanism of large language model- based agents,.

STAIR: Effective Incident Response Using an End-to-End Agentic Planning Framework A survey on the memory mechanism of large language model- based agents,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-11T15:45:23.258422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a6e8e60-8bcb-4045-98bf-db6a0df491a6 · outbound

This paper cites Swe-agent: Agent-computer interfaces enable automated soft- ware engineering,.

STAIR: Effective Incident Response Using an End-to-End Agentic Planning Framework Swe-agent: Agent-computer interfaces enable automated soft- ware engineering,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:45:23.850221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0d9ab682-23c4-4519-9a5d-bbb824db9cc0 · outbound

This paper cites Repairagent: An autonomous, llm-based agent for program repair,.

STAIR: Effective Incident Response Using an End-to-End Agentic Planning Framework Repairagent: An autonomous, llm-based agent for program repair,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:45:23.836697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5296b6a1-d770-4297-8931-61a54b41d2d3 · outbound

This paper cites Evaluating agent-based program repair at google,.

STAIR: Effective Incident Response Using an End-to-End Agentic Planning Framework Evaluating agent-based program repair at google,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-11T15:45:23.271650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a38ff057-ff0d-40f3-992b-c605cd04eb62 · outbound

This paper cites Llm-based multi-agent systems for software engineering: Literature review, vision, and the road ahead,.

STAIR: Effective Incident Response Using an End-to-End Agentic Planning Framework Llm-based multi-agent systems for software engineering: Literature review, vision, and the road ahead,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:45:23.814204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6f0df368-be23-4d49-a33e-68f607347e2b · outbound

This paper cites Chatdev: Communicative agents for software development,.

STAIR: Effective Incident Response Using an End-to-End Agentic Planning Framework Chatdev: Communicative agents for software development,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:45:23.800474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8fd8f5c9-6e99-4df2-9af2-fc79d0584779 · outbound

This paper cites Contextpilot: Code context engineering with memory-augmented exploration agents,.

STAIR: Effective Incident Response Using an End-to-End Agentic Planning Framework Contextpilot: Code context engineering with memory-augmented exploration agents,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:45:23.788215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 51d2813b-1a5e-49c8-b7a3-6126fe806ea5 · outbound

This paper cites What are playbooks?.

STAIR: Effective Incident Response Using an End-to-End Agentic Planning Framework What are playbooks?

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:45:23.775409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4136674f-c357-466b-acc6-daadf178e60f · outbound

This paper cites Recommended playbook use cases, templates, and exam- ples,.

STAIR: Effective Incident Response Using an End-to-End Agentic Planning Framework Recommended playbook use cases, templates, and exam- ples,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:45:23.761023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ebde4e6d-5166-45a8-8bf0-f5beef5e5401 · outbound

This paper cites Playbook: Ransomware investigate and contain,.

STAIR: Effective Incident Response Using an End-to-End Agentic Planning Framework Playbook: Ransomware investigate and contain,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:45:23.746407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d3b6a6e6-68fc-4f2c-9bcd-8b057347e26e · outbound

This paper cites Claude code docs,.

STAIR: Effective Incident Response Using an End-to-End Agentic Planning Framework Claude code docs,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:45:23.732330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0a8b8fda-efa2-40ae-97cd-afbb479ada85 · outbound

This paper cites Metagpt: Meta programming for a multi-agent collaborative framework,.

STAIR: Effective Incident Response Using an End-to-End Agentic Planning Framework Metagpt: Meta programming for a multi-agent collaborative framework,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:45:23.719125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d5419e66-ff62-41a5-8ae8-852e9dffe11d · outbound

This paper cites What is docker?.

STAIR: Effective Incident Response Using an End-to-End Agentic Planning Framework What is docker?

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:45:23.705306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f62190e8-e495-48d5-8db1-580d086a5247 · outbound

This paper cites Containerlab,.

STAIR: Effective Incident Response Using an End-to-End Agentic Planning Framework Containerlab,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:45:23.691185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

No inbound Pith citation observations are available.