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Paper Citation Record · LEDGER

QEFT: Quantization for Efficient Fine-Tuning of LLMs

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.08661.

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

pith.paper-citation-record.v1
2410.08661 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:43:39.955030Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T19:16:00.089405Z

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 2a6244cc-2733-4ad5-99f7-6a163aab0e62 · inbound

Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis cites this paper.

Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis QEFT: Quantization for Efficient Fine-Tuning of LLMs

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T15:43:39.955030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:43:39.955030Z digest=sha256:78e1873988b611b4158c48f364b4b3e7e2ecab9c1c39696045ea4787dfa642a9

Observation 93242c87-2623-4d7d-9242-50c24f0b5db5 · inbound

Quantized Reasoning Models Think They Need to Think Longer, but They Do Not cites this paper.

Quantized Reasoning Models Think They Need to Think Longer, but They Do Not QEFT: Quantization for Efficient Fine-Tuning of LLMs

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-07-01T19:16:00.091084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-28T23:05:00.401365Z digest=sha256:79211686b836c92e7c55d66e904814891206843d344625bc70e55448d1fff215