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Paper Citation Record · LEDGER

Artificial Intelligence for IT Operations (AIOPS) Workshop White Paper

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2101.06054.

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

pith.paper-citation-record.v1
2101.06054 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:29:25.869395Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T15:29:36.769590Z

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 dd29f688-8b06-40b3-ac1d-6b4fb61ce9a7 · inbound

SDLog: A Deep Learning Framework for Detecting Sensitive Information in Software Logs cites this paper.

SDLog: A Deep Learning Framework for Detecting Sensitive Information in Software Logs Artificial Intelligence for IT Operations (AIOPS) Workshop White Paper

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:29:36.863672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:29:25.869395Z digest=sha256:832393666a6f410e0e98d58fee6871b1c499114a1d5d600d6ca5b6ad03873dd3

Observation 7b7f3ab4-531c-486e-a771-a08150598035 · inbound

NetInjectBench: Benchmarking Indirect Prompt Injection in Tool-Using Large Language Model Agents for Network Operations cites this paper.

NetInjectBench: Benchmarking Indirect Prompt Injection in Tool-Using Large Language Model Agents for Network Operations Artificial Intelligence for IT Operations (AIOPS) Workshop White Paper

Reference 35

Resolution
unresolved
no resolver link, observed 2026-07-14T11:20:52.129640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T11:20:52.129640Z digest=sha256:61ea7100279dc82206d7bc4d0d58caad0e3956cb6c2482a7d07913957f1f8d4c