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Paper Citation Record · LEDGER

Benchmark Self-Evolving: A Multi-Agent Framework for Dynamic LLM Evaluation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2402.11443.

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

pith.paper-citation-record.v1
2402.11443 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:40:24.777981Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 33ed73b7-1e5c-4092-b25c-9eb290242497 · inbound

The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey cites this paper.

The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey Benchmark Self-Evolving: A Multi-Agent Framework for Dynamic LLM Evaluation

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-16T23:16:41.801484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T23:16:41.679855Z digest=sha256:bbb7ffeb07b9215d23eed46e6be33e0c61c77da949f17fc40e465ad1357385ba

Observation 74c15749-b6a0-4e28-b9a6-2cb4d3f95d08 · inbound

Prompt Infection: LLM-to-LLM Prompt Injection within Multi-Agent Systems cites this paper.

Prompt Infection: LLM-to-LLM Prompt Injection within Multi-Agent Systems Benchmark Self-Evolving: A Multi-Agent Framework for Dynamic LLM Evaluation

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-15T19:32:19.615151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-15T19:32:19.405615Z digest=sha256:aadd17a6acd30f49b61b153e9b86aa7d8658828bc59d01fbda6314490cc975a6

Observation 31a6edaf-1644-45c9-8edd-118da0149679 · inbound

Multi-Agent Collaboration Mechanisms: A Survey of LLMs cites this paper.

Multi-Agent Collaboration Mechanisms: A Survey of LLMs Benchmark Self-Evolving: A Multi-Agent Framework for Dynamic LLM Evaluation

Reference 129

Resolution
verified exact
arxiv_id, observed 2026-05-13T15:54:54.343887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T15:54:54.146003Z digest=sha256:135f138133258ca94ac5a41c8ce3a3d8c219b1e31b7dbbe547b6bee09ba40963

Observation 40a336ab-ae3f-4f9c-b23c-d1c5d9d6005d · inbound

Large Language Model Agent: A Survey on Methodology, Applications and Challenges cites this paper.

Large Language Model Agent: A Survey on Methodology, Applications and Challenges Benchmark Self-Evolving: A Multi-Agent Framework for Dynamic LLM Evaluation

Reference 132

Resolution
verified exact
arxiv_id, observed 2026-05-22T21:52:10.039764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-22T21:51:34.309870Z digest=sha256:c2ef2a8c8725d68bf0919c164b5970e4cf4ee3f25cdef42cfc2a14dd1148af11

Observation 2590573f-3035-4269-b202-ff079e461bb5 · inbound

AutoJudger: An Agent-Driven Framework for Efficient Benchmarking of MLLMs cites this paper.

AutoJudger: An Agent-Driven Framework for Efficient Benchmarking of MLLMs Benchmark Self-Evolving: A Multi-Agent Framework for Dynamic LLM Evaluation

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-07T13:40:24.777981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:40:24.777981Z digest=sha256:b9bbb3a38ca91a025ada421a72a354a9bb77168d5cd1103f95a252dc97856386

Observation 27763c9e-edc1-48d5-abe3-84d74710dfc5 · inbound

Tracing LLM Reasoning Processes with Strategic Games: A Framework for Planning, Revision, and Resource-Constrained Decision Making cites this paper.

Tracing LLM Reasoning Processes with Strategic Games: A Framework for Planning, Revision, and Resource-Constrained Decision Making Benchmark Self-Evolving: A Multi-Agent Framework for Dynamic LLM Evaluation

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T01:06:47.379383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T01:06:47.379383Z digest=sha256:b807f6326cc0d9fa579f0c6e79c62a2594cb188b80244ff08a00eff44d3a9d49

Observation e8efb481-ee2b-4016-ad62-e2f495fb91d5 · inbound

CRITICTOOL: Evaluating Self-Critique Capabilities of Large Language Models in Tool-Calling Error Scenarios cites this paper.

CRITICTOOL: Evaluating Self-Critique Capabilities of Large Language Models in Tool-Calling Error Scenarios Benchmark Self-Evolving: A Multi-Agent Framework for Dynamic LLM Evaluation

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T04:44:04.671307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:44:04.671307Z digest=sha256:bc826ed02fef8a3c277d7909bc4d3e1c1b433b26c0be410eec690c21bd894fb1

Observation 1dba8bc9-ccf8-4659-99c3-584e10b0cd81 · inbound

Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models cites this paper.

Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models Benchmark Self-Evolving: A Multi-Agent Framework for Dynamic LLM Evaluation

Reference 208

Resolution
unresolved
no resolver link, observed 2026-08-07T10:19:12.123748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:19:12.123748Z digest=sha256:5207a8c81f52cfa3bd60c558a0d3c721641712b3a62bcef5609648f5ba68d4ae

Observation 66e57e5f-cdb9-4967-b15c-286dece8a6b0 · inbound

Configurable multi-agent framework for scalable and realistic testing of llm-based agents cites this paper.

Configurable multi-agent framework for scalable and realistic testing of llm-based agents Benchmark Self-Evolving: A Multi-Agent Framework for Dynamic LLM Evaluation

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T15:53:37.742865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:53:37.742865Z digest=sha256:967161334ccf3003f25238c5be31f82bf16ffe9a1d9085658f7550884b67802f

Observation 9298ab66-356b-49f7-9ae2-0973d5c6213f · inbound

A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence cites this paper.

A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence Benchmark Self-Evolving: A Multi-Agent Framework for Dynamic LLM Evaluation

Reference 142

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T22:23:14.814860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-14T22:23:14.621091Z digest=sha256:90cfd174fcc6535266796164e787afbdba717f5ec937072cb1012bfb00499494

Observation ef268480-dc49-480e-82c8-af662745a063 · inbound

BetaWeb: Towards a Blockchain-enabled Trustworthy Agentic Web cites this paper.

BetaWeb: Towards a Blockchain-enabled Trustworthy Agentic Web Benchmark Self-Evolving: A Multi-Agent Framework for Dynamic LLM Evaluation

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-05T18:55:33.713403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T18:55:33.713403Z digest=sha256:683dd64d61c2f0014e3286d803c39231d28d16da8c7a4e1ca589596416d27fed

Observation 6e832b30-0aeb-4c57-bd0b-e3ec2431d0f6 · inbound

Memory in the Age of AI Agents cites this paper.

Memory in the Age of AI Agents Benchmark Self-Evolving: A Multi-Agent Framework for Dynamic LLM Evaluation

Reference 284

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T18:18:20.405886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-11T18:18:19.911342Z digest=sha256:1eef6a9321f3881347d1135fb396f6f44d47b70d91a452382281d97a3e632e78

Observation 23b5d3c3-a6ff-4d7a-8c0b-de4f11de2814 · inbound

Automatically Generating Hard Math Problems from Hypothesis-Driven Error Analysis cites this paper.

Automatically Generating Hard Math Problems from Hypothesis-Driven Error Analysis Benchmark Self-Evolving: A Multi-Agent Framework for Dynamic LLM Evaluation

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:40:49.933190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-10T19:39:36.819142Z digest=sha256:e6f9069fb9933ee234bc3af8c9b28f141e8dabc4b538396a51dc4df2180a7a93

Observation cae55505-ab63-40b6-a7c5-05d54f56cab9 · inbound

Does Capability Transfer to Subjective Behavior -- and Would Our Instruments Tell Us? A Self-Evolving, Trust-by-Construction Evaluation Paradigm cites this paper.

Does Capability Transfer to Subjective Behavior -- and Would Our Instruments Tell Us? A Self-Evolving, Trust-by-Construction Evaluation Paradigm Benchmark Self-Evolving: A Multi-Agent Framework for Dynamic LLM Evaluation

Reference 121

Resolution
verified exact
arxiv_id, observed 2026-06-29T13:03:26.749142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T12:54:36.818698Z digest=sha256:8f90b7f803c172c9f78ff0c65fd8b5c6531daf7a5b3eadf0ea4976dd8506f78b