Pith. sign in

Paper Citation Record · LEDGER

SafeCOMM: A Study on Safety Degradation in Fine-Tuned Telecom Large Language Models

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2506.00062.

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

pith.paper-citation-record.v1
2506.00062 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T11:09:43.599642Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-10T11:09:43.841412Z

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 9e69e09f-eeef-4d9b-8424-861930017843 · inbound

Distilling Large Language Models for Network Active Queue Management cites this paper.

Distilling Large Language Models for Network Active Queue Management SafeCOMM: A Study on Safety Degradation in Fine-Tuned Telecom Large Language Models

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-08-11T03:24:29.182979Z

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.

source=pdf_text observed=2026-08-10T11:09:43.599642Z digest=sha256:f3c57cd480c4dbc8c0874a37130dc201aa97ee49dab12e593fc8d1f19ab34ec8