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Paper Citation Record · LEDGER

A Survey on AgentOps: Categorization, Challenges, and Future Directions

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2508.02121.

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

pith.paper-citation-record.v1
2508.02121 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T07:18:12.388699Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T05:05:22.424935Z

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 8a5ca7ed-ce3c-4579-a60c-365afe7c322e · inbound

E2E-REME: Towards End-to-End Microservices Auto-Remediation via Experience-Simulation Reinforcement Fine-Tuning cites this paper.

E2E-REME: Towards End-to-End Microservices Auto-Remediation via Experience-Simulation Reinforcement Fine-Tuning A Survey on AgentOps: Categorization, Challenges, and Future Directions

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:25:59.331234Z

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.

source=pdf_text observed=2026-05-10T15:31:09.600785Z digest=sha256:f4c0bf1e20cbd6bc17a9bd2b212ac9e3dd59509983d633de8fa0fe956e58068c

Observation 6dec2b87-8951-4237-a4d3-082f0236df04 · inbound

How to Steer Your Multi-Agent System: Human-LLM Collaborative Planning cites this paper.

How to Steer Your Multi-Agent System: Human-LLM Collaborative Planning A Survey on AgentOps: Categorization, Challenges, and Future Directions

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-25T05:05:22.428072Z

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.

source=pdf_text observed=2026-05-25T05:04:36.004115Z digest=sha256:c6994e381986f250e8ec855c0e947a80b00081795cd4056e7bf1ee518125d9d4

Observation 686f224f-e490-4c31-ae0f-22d8b458c718 · inbound

Toward Continuous Assurance for the Democratization of AI Agent Creation in Industry cites this paper.

Toward Continuous Assurance for the Democratization of AI Agent Creation in Industry A Survey on AgentOps: Categorization, Challenges, and Future Directions

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-01T07:18:12.388699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T07:18:12.388699Z digest=sha256:6ccb924d2eef0af528652219e5474d77b31af7f76306f91f740e6c25d2d0aa77