Paper Citation Record · LEDGER

SecRespond: Benchmarking AI Agents for Real-World Post-Compromise Incident Response

As of 7 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2607.26791.

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

pith.paper-citation-record.v1
2607.26791 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-30T21:00:41.702871Z

measured 35 of 35 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

35 of 35 outbound references displayed

verified exact0
verified fuzzy0
unresolved35
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 65a73d8f-47a2-4b3d-8c94-ec1fd1f7d23d · outbound

This paper cites International Conference on Learning Representations , volume=.

SecRespond: Benchmarking AI Agents for Real-World Post-Compromise Incident Response International Conference on Learning Representations , volume=

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-30T21:00:41.517408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fa4a1dd-b030-4e1b-b55f-c967358fcae6 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

SecRespond: Benchmarking AI Agents for Real-World Post-Compromise Incident Response Advances in Neural Information Processing Systems , volume=

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-30T21:00:41.524581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da23d235-37b0-4ae6-87df-18657f435f7c · outbound

This paper cites CVE-Bench: A Benchmark for AI Agents' Ability to Exploit Real-World Web Application Vulnerabilities.

SecRespond: Benchmarking AI Agents for Real-World Post-Compromise Incident Response CVE-Bench: A Benchmark for AI Agents' Ability to Exploit Real-World Web Application Vulnerabilities

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-30T21:00:41.529969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ee0aea9-d838-4ddd-b8c3-5384590d2656 · outbound

This paper cites SecBench: A Comprehensive Multi-Dimensional Benchmarking Dataset for LLMs in Cybersecurity.

SecRespond: Benchmarking AI Agents for Real-World Post-Compromise Incident Response SecBench: A Comprehensive Multi-Dimensional Benchmarking Dataset for LLMs in Cybersecurity

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-30T21:00:41.535613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e146040f-e1d8-4838-a174-a653bd2748ee · outbound

This paper cites CYBERSECEVAL 3: Advancing the Evaluation of Cybersecurity Risks and Capabilities in Large Language Models.

SecRespond: Benchmarking AI Agents for Real-World Post-Compromise Incident Response CYBERSECEVAL 3: Advancing the Evaluation of Cybersecurity Risks and Capabilities in Large Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-30T21:00:41.541387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b24fd9c-745f-4d6f-9375-d06b2fce7900 · outbound

This paper cites an unresolved cited work.

SecRespond: Benchmarking AI Agents for Real-World Post-Compromise Incident Response Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-30T21:00:41.547042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b6d748a-f0b8-4398-bbb7-d928f68111f0 · outbound

This paper cites an unresolved cited work.

SecRespond: Benchmarking AI Agents for Real-World Post-Compromise Incident Response Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-30T21:00:41.552564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0945a461-a7fd-4a47-b11d-1ccc49dab343 · outbound

This paper cites an unresolved cited work.

SecRespond: Benchmarking AI Agents for Real-World Post-Compromise Incident Response Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-30T21:00:41.557176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation adacc18a-a90b-4dd8-b719-6e17cb89ac75 · outbound

This paper cites an unresolved cited work.

SecRespond: Benchmarking AI Agents for Real-World Post-Compromise Incident Response Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-30T21:00:41.562081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 179bf145-0fb0-44f9-b7e8-f4ed5bd37b0a · outbound

This paper cites arXiv e-prints , pages=.

SecRespond: Benchmarking AI Agents for Real-World Post-Compromise Incident Response arXiv e-prints , pages=

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-30T21:00:41.567183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 188e63fb-ff05-42db-9132-8b718e63eb15 · outbound

This paper cites arXiv preprint arXiv:2509.20166 , year=.

SecRespond: Benchmarking AI Agents for Real-World Post-Compromise Incident Response arXiv preprint arXiv:2509.20166 , year=

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-30T21:00:41.572553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 339d76bc-4a63-407b-b885-fe3d97c7034b · outbound

This paper cites an unresolved cited work.

SecRespond: Benchmarking AI Agents for Real-World Post-Compromise Incident Response Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-30T21:00:41.577757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d526a461-1dbe-400a-a5db-bbee2f526969 · outbound

This paper cites The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning.

SecRespond: Benchmarking AI Agents for Real-World Post-Compromise Incident Response The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-30T21:00:41.582935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ac2c3c1-3c08-42f6-a60b-ce6610518fff · outbound

This paper cites 2026 , url =.

SecRespond: Benchmarking AI Agents for Real-World Post-Compromise Incident Response 2026 , url =

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-30T21:00:41.588208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e566c2f-6ce1-4b2b-b0a4-33b4463ad4fa · outbound

This paper cites 2026 , url =.

SecRespond: Benchmarking AI Agents for Real-World Post-Compromise Incident Response 2026 , url =

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-30T21:00:41.593443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6782eaa-c6eb-494c-b9b3-501d0e107908 · outbound

This paper cites 2026 , url =.

SecRespond: Benchmarking AI Agents for Real-World Post-Compromise Incident Response 2026 , url =

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-30T21:00:41.598466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ab9afa4-5a21-45cf-8c49-f10c2eeaa132 · outbound

This paper cites 2026 , url =.

SecRespond: Benchmarking AI Agents for Real-World Post-Compromise Incident Response 2026 , url =

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-30T21:00:41.603452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 362a57c9-8f14-4320-a338-6daa55557c30 · outbound

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

SecRespond: Benchmarking AI Agents for Real-World Post-Compromise Incident Response Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-30T21:00:41.608843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c60f8ae-408b-45cd-93b6-8a12928b763e · outbound

This paper cites Claw-Eval: Towards Trustworthy Evaluation of Autonomous Agents.

SecRespond: Benchmarking AI Agents for Real-World Post-Compromise Incident Response Claw-Eval: Towards Trustworthy Evaluation of Autonomous Agents

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-30T21:00:41.614003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc70400c-c646-441c-9b44-e74e046dc4b3 · outbound

This paper cites SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks.

SecRespond: Benchmarking AI Agents for Real-World Post-Compromise Incident Response SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-30T21:00:41.619162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc6bb50b-2a19-469c-a450-b3b36f8fce88 · outbound

This paper cites ExCyTIn-Bench: Evaluating LLM agents on Cyber Threat Investigation.

SecRespond: Benchmarking AI Agents for Real-World Post-Compromise Incident Response ExCyTIn-Bench: Evaluating LLM agents on Cyber Threat Investigation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-30T21:00:41.624509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20617a1d-0429-41de-8cba-8c669a116e33 · outbound

This paper cites arXiv preprint arXiv:2505.20945 , year=.

SecRespond: Benchmarking AI Agents for Real-World Post-Compromise Incident Response arXiv preprint arXiv:2505.20945 , year=

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-30T21:00:41.629658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7afb3e77-30cd-4b5a-8fae-2b4c980dbb6c · outbound

This paper cites 2026 , url =.

SecRespond: Benchmarking AI Agents for Real-World Post-Compromise Incident Response 2026 , url =

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-30T21:00:41.634384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5e637c8-b398-4f9a-8bc2-3a9188b7e020 · outbound

This paper cites International Conference on Learning Representations , volume=.

SecRespond: Benchmarking AI Agents for Real-World Post-Compromise Incident Response International Conference on Learning Representations , volume=

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-30T21:00:41.639946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 563c8513-5ea0-48bd-827d-cb04a890b093 · outbound

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

SecRespond: Benchmarking AI Agents for Real-World Post-Compromise Incident Response SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-30T21:00:41.644675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a75d7cc-e79e-441e-8b2d-0b661d5b73e5 · outbound

This paper cites $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains.

SecRespond: Benchmarking AI Agents for Real-World Post-Compromise Incident Response $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-30T21:00:41.650026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ba23d9b-d41a-44ca-a988-a6f9c4bb03d0 · outbound

This paper cites arXiv preprint arXiv:2509.26490 , year=.

SecRespond: Benchmarking AI Agents for Real-World Post-Compromise Incident Response arXiv preprint arXiv:2509.26490 , year=

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-30T21:00:41.655370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f3db46e-8b06-4f74-9a93-f45e1ed3e4bf · outbound

This paper cites an unresolved cited work.

SecRespond: Benchmarking AI Agents for Real-World Post-Compromise Incident Response Unresolved cited work

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-30T21:00:41.660282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f225847-4c60-4c32-97c7-fcaa74f6b088 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

SecRespond: Benchmarking AI Agents for Real-World Post-Compromise Incident Response Advances in Neural Information Processing Systems , volume=

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-30T21:00:41.666835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a638a963-19d7-4d92-b6ed-3801a9ce8efe · outbound

This paper cites International Conference on Learning Representations , volume=.

SecRespond: Benchmarking AI Agents for Real-World Post-Compromise Incident Response International Conference on Learning Representations , volume=

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-30T21:00:41.673056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e826a8a5-c19c-4252-9a4b-9885966751c3 · outbound

This paper cites ClawBench: Can AI Agents Complete Everyday Online Tasks?.

SecRespond: Benchmarking AI Agents for Real-World Post-Compromise Incident Response ClawBench: Can AI Agents Complete Everyday Online Tasks?

Reference 31

Resolution: unresolved; no resolver link, observed 2026-07-30T21:00:41.678312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 499a03c3-3259-435b-aaae-9575b1c4e0bd · outbound

This paper cites CocoaBench: Evaluating Unified Digital Agents in the Wild.

SecRespond: Benchmarking AI Agents for Real-World Post-Compromise Incident Response CocoaBench: Evaluating Unified Digital Agents in the Wild

Reference 32

Resolution: unresolved; no resolver link, observed 2026-07-30T21:00:41.683585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5672d8bc-615b-429a-acef-9de952255485 · outbound

This paper cites Claw-Eval-Live: A Live Agent Benchmark for Evolving Real-World Workflows.

SecRespond: Benchmarking AI Agents for Real-World Post-Compromise Incident Response Claw-Eval-Live: A Live Agent Benchmark for Evolving Real-World Workflows

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-30T21:00:41.689026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b179562d-339b-4674-9811-043c814e470d · outbound

This paper cites Advances in neural information processing systems , volume=.

SecRespond: Benchmarking AI Agents for Real-World Post-Compromise Incident Response Advances in neural information processing systems , volume=

Reference 34

Resolution: unresolved; no resolver link, observed 2026-07-30T21:00:41.697518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d047b56-ef33-44b5-8f70-b82404f510c7 · outbound

This paper cites The Innovation , volume=.

SecRespond: Benchmarking AI Agents for Real-World Post-Compromise Incident Response The Innovation , volume=

Reference 35

Resolution: unresolved; no resolver link, observed 2026-07-30T21:00:41.702871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.