Pith. sign in

Paper Citation Record · LEDGER

Experimental Study of Adversarial Attacks on ML-based xApps in O-RAN

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2309.03844.

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

pith.paper-citation-record.v1
2309.03844 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 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:14:19.514476Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T02:20:56.211117Z

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 951cc7f1-08bd-483a-a780-529586bce13e · inbound

Rogue Cell: Adversarial Attack and Defense in Untrusted O-RAN Setup Exploiting the Traffic Steering xApp cites this paper.

Rogue Cell: Adversarial Attack and Defense in Untrusted O-RAN Setup Exploiting the Traffic Steering xApp Experimental Study of Adversarial Attacks on ML-based xApps in O-RAN

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-16T04:14:19.514476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:14:19.514476Z digest=sha256:75b1ae6fe8125cf174341687346f70e728ab9df968ca6edafe5d6d6b60cacf75

Observation a5787720-2890-4ea2-a522-3284cab680a1 · inbound

ACCoRD: Actor-Critic Conflict Resolution with Deep learning for O-RAN xApps cites this paper.

ACCoRD: Actor-Critic Conflict Resolution with Deep learning for O-RAN xApps Experimental Study of Adversarial Attacks on ML-based xApps in O-RAN

Reference 142

Resolution
verified exact
arxiv_id, observed 2026-05-22T02:20:56.214011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-22T02:16:37.897274Z digest=sha256:4e9c18a57d9c0f9c421a0de00ade3f57a0890811240f5692419c0aa4e8586360