Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2508.19504.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T10:20:42.094789Z
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
0
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 5fc8b545-4daa-4caf-9018-d1ad5b35e4dd · inbound
Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification cites this paper.
Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T12:30:53.870904Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d7d99522-aeb0-4016-b5c3-b86392a3243b · inbound
Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification cites this paper.
Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents
Reference 17
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-16T12:30:53.791034Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 415f4973-8f73-49df-8cc2-755e667d9014 · inbound
Diagnosis-Driven Automatic Repair for Agentic Workflow via Symbolic Inference cites this paper.
Diagnosis-Driven Automatic Repair for Agentic Workflow via Symbolic Inference Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T06:24:52.086585Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0362ab3c-6976-46e9-864c-f84a53a5dc99 · inbound
Don't Offer What Can't Be Done: Deterministic Executability Gating for LLM Skill Selection at Scale cites this paper.
Don't Offer What Can't Be Done: Deterministic Executability Gating for LLM Skill Selection at Scale Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T00:39:16.340488Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fe62e75e-1728-43a8-81e8-54901ceac076 · inbound
SkillTV-Bench: Benchmarking How Well Judges Perform on Skill-Augmented Agentic Execution cites this paper.
SkillTV-Bench: Benchmarking How Well Judges Perform on Skill-Augmented Agentic Execution Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents
Reference 76
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T10:20:42.094789Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.