Paper Citation Record · LEDGER

Adversarial Fast-Moving Real-World Domains as Test Beds for Benchmarking AI Scientist Capabilities

As of 10 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2608.03569.

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

pith.paper-citation-record.v1
2608.03569 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:49:31.644941Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

13 of 13 outbound references displayed

verified exact0
verified fuzzy3
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a3ab6b94-0a2d-4abd-b2ed-7c5c83063fe8 · outbound

This paper cites ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery.

Adversarial Fast-Moving Real-World Domains as Test Beds for Benchmarking AI Scientist Capabilities ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T16:49:30.068458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5631c270-2358-4f58-a2fd-2ac6db1592b6 · outbound

This paper cites ForecastBench: A Dynamic Benchmark of AI Forecasting Capabilities.

Adversarial Fast-Moving Real-World Domains as Test Beds for Benchmarking AI Scientist Capabilities ForecastBench: A Dynamic Benchmark of AI Forecasting Capabilities

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T16:49:30.512877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c379a996-6125-4efe-94e8-809ede86af11 · outbound

This paper cites The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery.

Adversarial Fast-Moving Real-World Domains as Test Beds for Benchmarking AI Scientist Capabilities The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T16:49:30.717054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd6f15d4-ddf1-4083-a44a-ce16881e4355 · outbound

This paper cites DiscoveryBench: Towards Data-Driven Discovery with Large Language Models.

Adversarial Fast-Moving Real-World Domains as Test Beds for Benchmarking AI Scientist Capabilities DiscoveryBench: Towards Data-Driven Discovery with Large Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T16:49:30.826606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59cfb5db-7108-4576-9e6c-3200761ce8be · outbound

This paper cites Kosmos: An AI Scientist for Autonomous Discovery.

Adversarial Fast-Moving Real-World Domains as Test Beds for Benchmarking AI Scientist Capabilities Kosmos: An AI Scientist for Autonomous Discovery

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T16:49:30.935054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3747fce7-1b60-45ae-a04d-011d2080ab68 · outbound

This paper cites Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers.

Adversarial Fast-Moving Real-World Domains as Test Beds for Benchmarking AI Scientist Capabilities Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T16:49:31.065187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 169d8e35-c741-460f-99cd-e9a6d8b2d28e · outbound

This paper cites The OpenAI models GPT-5.2 (August 2025 knowledge cutoff) and o3 (June 2024 knowledge cutoff) were accessed via the OpenAI API.

Adversarial Fast-Moving Real-World Domains as Test Beds for Benchmarking AI Scientist Capabilities The OpenAI models GPT-5.2 (August 2025 knowledge cutoff) and o3 (June 2024 knowledge cutoff) were accessed via the OpenAI API

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:49:32.933185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 59afc6b7-3d9e-4574-86f4-85f86783ef5c · outbound

This paper cites F1 generated ideas and real innovations were embedded with OpenAI’s text-embedding-3-smallmodel.

Adversarial Fast-Moving Real-World Domains as Test Beds for Benchmarking AI Scientist Capabilities F1 generated ideas and real innovations were embedded with OpenAI’s text-embedding-3-smallmodel

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:49:32.609363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f22159b8-34bc-4bc8-901a-fe799a0b686e · outbound

This paper cites The Top 15 by Day 2 standings and four featured archetype-diverse builds were collected from official PT Lorwyn Eclipsed coverage (30 January – 1 February 2026).

Adversarial Fast-Moving Real-World Domains as Test Beds for Benchmarking AI Scientist Capabilities The Top 15 by Day 2 standings and four featured archetype-diverse builds were collected from official PT Lorwyn Eclipsed coverage (30 January – 1 February 2026)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:49:32.318667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2ac05b38-ed7a-43cd-b0b9-8d02f0a39d79 · outbound

This paper cites PaperBench: Evaluating AI's Ability to Replicate AI Research.

Adversarial Fast-Moving Real-World Domains as Test Beds for Benchmarking AI Scientist Capabilities PaperBench: Evaluating AI's Ability to Replicate AI Research

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-05T16:49:31.209853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf814ed1-801c-44a9-bdb6-9b7d35e4d64e · outbound

This paper cites Hypobench: Towards systematic and principled benchmarking for hy- pothesis generation.arXiv preprint arXiv:2504.11524,.

Adversarial Fast-Moving Real-World Domains as Test Beds for Benchmarking AI Scientist Capabilities Hypobench: Towards systematic and principled benchmarking for hy- pothesis generation.arXiv preprint arXiv:2504.11524,

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-05T16:49:30.630149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d120eba0-5157-401d-91c6-209f271b002e · outbound

This paper cites The need for verification in ai-driven scientific discov- ery.arXiv preprint arXiv:2509.01398,.

Adversarial Fast-Moving Real-World Domains as Test Beds for Benchmarking AI Scientist Capabilities The need for verification in ai-driven scientific discov- ery.arXiv preprint arXiv:2509.01398,

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-05T16:49:30.224091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59dcc89c-8b05-4fa2-abce-7fa3c868ef2e · outbound

This paper cites Towards an AI co-scientist.

Adversarial Fast-Moving Real-World Domains as Test Beds for Benchmarking AI Scientist Capabilities Towards an AI co-scientist

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-05T16:49:30.364773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.