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Paper Citation Record · LEDGER

Efficient Telecom Specific LLM: TSLAM-Mini with QLoRA and Digital Twin Data

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2505.07877.

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

pith.paper-citation-record.v1
2505.07877 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:43:20.752391Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T11:28:14.612875Z

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 97324091-8c70-4e81-9808-038dc44d3ef0 · inbound

TN-AutoRCA: Benchmark Construction and Agentic Framework for Self-Improving Alarm-Based Root Cause Analysis in Telecommunication Networks cites this paper.

TN-AutoRCA: Benchmark Construction and Agentic Framework for Self-Improving Alarm-Based Root Cause Analysis in Telecommunication Networks Efficient Telecom Specific LLM: TSLAM-Mini with QLoRA and Digital Twin Data

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T14:43:20.752391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:43:20.752391Z digest=sha256:d7d92d90158253a659bfc115a386a161f2683a6bb9bea40fbf55a34263768af3

Observation e12d6d06-8ade-4132-bd08-fec8a17d8aa5 · inbound

TeleCom-Bench: How Far Are Large Language Models from Industrial Telecommunication Applications? cites this paper.

TeleCom-Bench: How Far Are Large Language Models from Industrial Telecommunication Applications? Efficient Telecom Specific LLM: TSLAM-Mini with QLoRA and Digital Twin Data

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-20T11:28:14.614372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T11:23:34.256279Z digest=sha256:18ee2d1e3bec71c97fadfdba92f0a292cda880c231ac7eb15e3fedaa12dc1a2e