Paper Citation Record · LEDGER

Constructing Large-Scale Real-World Benchmark Datasets for AIOps

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2208.03938.

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

pith.paper-citation-record.v1
2208.03938 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:54:23.599731Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T14:09:53.008856Z

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 19676c7d-2784-45ed-9471-1e904bddf1f2 · inbound

RCAEval: A Benchmark for Root Cause Analysis of Microservice Systems with Telemetry Data cites this paper.

RCAEval: A Benchmark for Root Cause Analysis of Microservice Systems with Telemetry Data Constructing Large-Scale Real-World Benchmark Datasets for AIOps

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T05:54:23.599731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c782d53c-1030-441d-a245-7b3de4034b58 · inbound

Argos: Agentic Time-Series Anomaly Detection with Autonomous Rule Generation via Large Language Models cites this paper.

Argos: Agentic Time-Series Anomaly Detection with Autonomous Rule Generation via Large Language Models Constructing Large-Scale Real-World Benchmark Datasets for AIOps

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T15:25:07.234948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85f3352b-a922-47ba-8239-9e7ced947c43 · inbound

Detecting Time Series Anomalies Like an Expert: A Multi-Agent LLM Framework with Specialized Analyzers cites this paper.

Detecting Time Series Anomalies Like an Expert: A Multi-Agent LLM Framework with Specialized Analyzers Constructing Large-Scale Real-World Benchmark Datasets for AIOps

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:31:09.988201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 30d835bd-8720-4e94-856c-65b526657f88 · inbound

Large Language Models for Agentic NetOps and AIOps: Architectures, Evaluation, and Safety cites this paper.

Large Language Models for Agentic NetOps and AIOps: Architectures, Evaluation, and Safety Constructing Large-Scale Real-World Benchmark Datasets for AIOps

Reference 127

Resolution: verified exact; arxiv_id, observed 2026-05-14T19:57:53.827205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a25ffa6d-f3c4-4d22-bc2f-8bcdc30fbd80 · inbound

Large Language Models for Agentic NetOps and AIOps: Architectures, Evaluation, and Safety cites this paper.

Large Language Models for Agentic NetOps and AIOps: Architectures, Evaluation, and Safety Constructing Large-Scale Real-World Benchmark Datasets for AIOps

Reference 127

Resolution: verified exact; arxiv_id, observed 2026-06-30T22:05:06.015380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a8ed2739-7e1a-4480-9546-a5f495af27ef · inbound

OpenRCA 2.0: From Outcome Labels to Causal Process Supervision cites this paper.

OpenRCA 2.0: From Outcome Labels to Causal Process Supervision Constructing Large-Scale Real-World Benchmark Datasets for AIOps

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-04T14:09:53.010508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9fcc92b4-7216-4af1-b0a4-609eca1e35b0 · inbound

OpenRCA 2.0: From Outcome Labels to Causal Process Supervision cites this paper.

OpenRCA 2.0: From Outcome Labels to Causal Process Supervision Constructing Large-Scale Real-World Benchmark Datasets for AIOps

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-01T07:05:28.207225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.