Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ResearcherBench: Evaluating Deep AI Research Systems on the Frontiers of Scientific Inquiry
As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2507.16280.
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 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T14:43:55.822569Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T05:47:41.419232Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 093104ea-5231-4364-8110-36087bd5a93a · inbound
SafeSearch: Automated Red-Teaming of LLM-Based Search Agents cites this paper.
SafeSearch: Automated Red-Teaming of LLM-Based Search Agents ResearcherBench: Evaluating Deep AI Research Systems on the Frontiers of Scientific Inquiry
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T14:43:55.822569Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 208889a2-d2bb-4ee8-a661-03b1e730bcc3 · inbound
AgencyBench: Benchmarking the Frontiers of Autonomous Agents in 1M-Token Real-World Contexts cites this paper.
AgencyBench: Benchmarking the Frontiers of Autonomous Agents in 1M-Token Real-World Contexts ResearcherBench: Evaluating Deep AI Research Systems on the Frontiers of Scientific Inquiry
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T14:12:58.706797Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation acd4b857-3906-4289-97d5-7ed911cbef95 · inbound
FIRE-Bench: Evaluating AI Agents on the Rediscovery of Scientific Insights cites this paper.
FIRE-Bench: Evaluating AI Agents on the Rediscovery of Scientific Insights ResearcherBench: Evaluating Deep AI Research Systems on the Frontiers of Scientific Inquiry
Reference 8
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-03T05:17:18.399197Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 16eec53e-f625-49f9-8cf6-884348be1f2f · inbound
SciPredict: Can LLMs Predict the Outcomes of Scientific Experiments in Natural Sciences? cites this paper.
SciPredict: Can LLMs Predict the Outcomes of Scientific Experiments in Natural Sciences? ResearcherBench: Evaluating Deep AI Research Systems on the Frontiers of Scientific Inquiry
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T09:36:03.520818Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e0e6c591-fa0f-4536-a350-66d34f38164b · inbound
Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery cites this paper.
Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery ResearcherBench: Evaluating Deep AI Research Systems on the Frontiers of Scientific Inquiry
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T05:46:31.422150Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d23b6d33-4989-4f02-94dc-f03088c64355 · inbound
ASPI: Seeking Ambiguity Clarification Amplifies Prompt Injection Vulnerability in LLM Agents cites this paper.
ASPI: Seeking Ambiguity Clarification Amplifies Prompt Injection Vulnerability in LLM Agents ResearcherBench: Evaluating Deep AI Research Systems on the Frontiers of Scientific Inquiry
Reference 85
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-19T23:57:53.358041Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 472f7f6e-c3db-4821-af0b-13d83a010732 · inbound
Evaluating Deep Research Agents on Expert Consulting Work: A Benchmark with Verifiers, Rubrics, and Cognitive Traps cites this paper.
Evaluating Deep Research Agents on Expert Consulting Work: A Benchmark with Verifiers, Rubrics, and Cognitive Traps ResearcherBench: Evaluating Deep AI Research Systems on the Frontiers of Scientific Inquiry
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T12:33:16.776361Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7430d0fd-6313-4fa4-b62f-e027314db454 · inbound
AutoResearch AI: Towards AI-Powered Research Automation for Scientific Discovery cites this paper.
AutoResearch AI: Towards AI-Powered Research Automation for Scientific Discovery ResearcherBench: Evaluating Deep AI Research Systems on the Frontiers of Scientific Inquiry
Reference 57
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T04:50:21.711072Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3eed8187-4455-40aa-8cff-4db7a500ca1a · inbound
ScientistOne: Towards Human-Level Autonomous Research via Chain-of-Evidence cites this paper.
ScientistOne: Towards Human-Level Autonomous Research via Chain-of-Evidence ResearcherBench: Evaluating Deep AI Research Systems on the Frontiers of Scientific Inquiry
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T21:23:59.076511Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 30b91610-69e1-44dd-b054-56c5738fbe1d · inbound
Can AI Agents Synthesize Scientific Conclusions? cites this paper.
Can AI Agents Synthesize Scientific Conclusions? ResearcherBench: Evaluating Deep AI Research Systems on the Frontiers of Scientific Inquiry
Reference 133
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T05:47:41.420928Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.