Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-07T05:10:58.065201Z
Paper Citation Record · LEDGER
What Makes a Good Terminal-Agent Benchmark Task: A Guideline for Adversarial, Difficult, and Legible Evaluation Design
As of 4 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 1 inbound Pith citation observation for arXiv:2604.28093.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T00:25:08.066021Z
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
14 of 14 outbound references displayed
- verified exact6
- verified fuzzy4
- unresolved4
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 433f73ab-51e8-409d-8b71-d0aea40d42b2 · outbound
This paper cites Concrete Problems in AI Safety.
What Makes a Good Terminal-Agent Benchmark Task: A Guideline for Adversarial, Difficult, and Legible Evaluation Design Concrete Problems in AI Safety
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T10:36:30.967971Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation b94a18b1-ec0b-404f-afae-70e1f4292d29 · outbound
This paper cites Terminal Wrench: A Dataset of 331 Reward-Hackable Environments and 3,632 Exploit Trajectories.
What Makes a Good Terminal-Agent Benchmark Task: A Guideline for Adversarial, Difficult, and Legible Evaluation Design Terminal Wrench: A Dataset of 331 Reward-Hackable Environments and 3,632 Exploit Trajectories
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T10:36:30.961371Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 7bd7c221-8fb6-484a-97c1-c3ecd34cc25f · outbound
This paper cites an unresolved cited work.
What Makes a Good Terminal-Agent Benchmark Task: A Guideline for Adversarial, Difficult, and Legible Evaluation Design Unresolved cited work
Reference 3
- Resolution
- unresolved
- raw_fallback, observed 2026-05-27T10:49:02.977699Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 4d46291f-fd14-46bd-8ccb-5e1e21ef324d · outbound
This paper cites Dell’Acqua, E.
What Makes a Good Terminal-Agent Benchmark Task: A Guideline for Adversarial, Difficult, and Legible Evaluation Design Dell’Acqua, E
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T10:49:02.983915Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation b4af3104-1a7f-4deb-9d2f-1669321c1666 · outbound
This paper cites Sycophancy to Subterfuge: Investigating Reward-Tampering in Large Language Models.
What Makes a Good Terminal-Agent Benchmark Task: A Guideline for Adversarial, Difficult, and Legible Evaluation Design Sycophancy to Subterfuge: Investigating Reward-Tampering in Large Language Models
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T14:43:30.598089Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation f422a5c1-db34-40e8-8818-136a45f0867b · outbound
This paper cites Krakovna, J.
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T10:49:02.974312Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 3db5aac2-0534-4751-a061-16d7699ed47a · outbound
This paper cites Natural Emergent Misalignment from Reward Hacking in Production RL.
What Makes a Good Terminal-Agent Benchmark Task: A Guideline for Adversarial, Difficult, and Legible Evaluation Design Natural Emergent Misalignment from Reward Hacking in Production RL
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T10:36:30.971759Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 1b7cf7a6-cd43-4d3a-949f-0897f251da6e · outbound
This paper cites Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces.
What Makes a Good Terminal-Agent Benchmark Task: A Guideline for Adversarial, Difficult, and Legible Evaluation Design Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T10:36:30.975678Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 8a086f59-ba23-44d2-b88a-926bbcb348a0 · outbound
This paper cites Launching the OpenThoughts- Agent project.
What Makes a Good Terminal-Agent Benchmark Task: A Guideline for Adversarial, Difficult, and Legible Evaluation Design Launching the OpenThoughts- Agent project
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T10:49:02.987471Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 7e9de2b1-74b7-4445-abf0-287fde749d88 · outbound
This paper cites an unresolved cited work.
What Makes a Good Terminal-Agent Benchmark Task: A Guideline for Adversarial, Difficult, and Legible Evaluation Design Unresolved cited work
Reference 10
- Resolution
- unresolved
- raw_fallback, observed 2026-05-27T10:49:02.967565Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation eb01340d-9a2c-4242-9c66-0f175b648b52 · outbound
This paper cites an unresolved cited work.
What Makes a Good Terminal-Agent Benchmark Task: A Guideline for Adversarial, Difficult, and Legible Evaluation Design Unresolved cited work
Reference 11
- Resolution
- unresolved
- raw_fallback, observed 2026-05-27T10:49:02.990589Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 31434c35-f1cf-4fd8-a5dd-cc7b48aa5e9d · outbound
This paper cites Von Arx, L.
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T10:49:02.980718Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation e9ceb1b8-34f6-46a6-8db0-6a882ed17d2a · outbound
This paper cites Let it flow: Agentic crafting on rock and roll, building the rome model within an open agentic learning ecosystem.
What Makes a Good Terminal-Agent Benchmark Task: A Guideline for Adversarial, Difficult, and Legible Evaluation Design Let it flow: Agentic crafting on rock and roll, building the rome model within an open agentic learning ecosystem
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T10:36:30.979968Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 6e298221-0052-4e78-bc0d-20742c6049ab · outbound
This paper cites an unresolved cited work.
What Makes a Good Terminal-Agent Benchmark Task: A Guideline for Adversarial, Difficult, and Legible Evaluation Design Unresolved cited work
Reference 14
- Resolution
- unresolved
- raw_fallback, observed 2026-05-27T10:49:02.970934Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Pith citing papers
Observation 03c64f5c-1682-4b91-a664-c94a02a0bffa · inbound
Model or Harness? An Interaction-Centric Taxonomy for Localizing Agent Failures cites this paper.
Model or Harness? An Interaction-Centric Taxonomy for Localizing Agent Failures What Makes a Good Terminal-Agent Benchmark Task: A Guideline for Adversarial, Difficult, and Legible Evaluation Design
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T00:25:08.066021Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.