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Paper Citation Record · LEDGER

CLLoRA: An Approach to Measure the Effects of the Context Length for LLM Fine-Tuning

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2502.18910.

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

pith.paper-citation-record.v1
2502.18910 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 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T21:51:06.463600Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T09:26:25.189437Z

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 a916f70c-bf7d-456d-aa1b-ae31cac0e015 · inbound

MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model? cites this paper.

MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model? CLLoRA: An Approach to Measure the Effects of the Context Length for LLM Fine-Tuning

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-04T21:51:06.463600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:51:06.463600Z digest=sha256:69544abd1d3547c82995562348262b7595d47d0876a0e4f09ca9320c9c87c6c6

Observation c3aa3183-837a-44ed-9c00-d03fb2a995bb · inbound

SplitFT: An Adaptive Federated Split Learning System For LLMs Fine-Tuning cites this paper.

SplitFT: An Adaptive Federated Split Learning System For LLMs Fine-Tuning CLLoRA: An Approach to Measure the Effects of the Context Length for LLM Fine-Tuning

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:26:25.191211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-07T11:05:54.779407Z digest=sha256:58e30219cbda78db25b3cb5bed20c2ce4bbf75144937c99c639e740223145d1a