Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
IntellAgent: A Multi-Agent Framework for Evaluating Conversational AI Systems
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2501.11067.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T12:44:21.636050Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T10:58:14.019840Z
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 86576c80-50e8-48f5-b106-d7eb39242f96 · inbound
$\tau^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment cites this paper.
$\tau^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment IntellAgent: A Multi-Agent Framework for Evaluating Conversational AI Systems
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T07:52:17.378438Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation a7a1f55d-5608-463f-ba76-40eaeb9259b8 · inbound
Evaluation and Benchmarking of LLM Agents: A Survey cites this paper.
Evaluation and Benchmarking of LLM Agents: A Survey IntellAgent: A Multi-Agent Framework for Evaluating Conversational AI Systems
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T12:44:21.636050Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 988949c2-74aa-4222-9d9f-bdbecac438b3 · inbound
Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory cites this paper.
Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory IntellAgent: A Multi-Agent Framework for Evaluating Conversational AI Systems
Reference 98
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T23:13:15.534657Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 2c5c510e-7a6e-4cbd-98c4-77944c47aee0 · inbound
AgentCE-Bench: Agent Configurable Evaluation with Scalable Horizons and Controllable Difficulty under Lightweight Environments cites this paper.
AgentCE-Bench: Agent Configurable Evaluation with Scalable Horizons and Controllable Difficulty under Lightweight Environments IntellAgent: A Multi-Agent Framework for Evaluating Conversational AI Systems
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T23:30:49.458088Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 83caedcb-f771-4e56-98fc-588ed22b31f6 · inbound
MANTRA: Synthesizing SMT-Validated Compliance Benchmarks for Tool-Using LLM Agents cites this paper.
MANTRA: Synthesizing SMT-Validated Compliance Benchmarks for Tool-Using LLM Agents IntellAgent: A Multi-Agent Framework for Evaluating Conversational AI Systems
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T20:06:12.706281Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 09cbdbfa-b8e1-48e5-93ca-fd187250d11e · inbound
Interactive Evaluation Requires a Design Science cites this paper.
Interactive Evaluation Requires a Design Science IntellAgent: A Multi-Agent Framework for Evaluating Conversational AI Systems
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T10:58:14.021687Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.