Pith. sign in

Paper Citation Record · LEDGER

HFT: Half Fine-Tuning for Large Language Models

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.18466.

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

pith.paper-citation-record.v1
2404.18466 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 2026-08-12T19:14:24.019028Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:56:01.093758Z

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 6af8b3fd-360d-452d-af1f-3017f6844728 · inbound

Learn from Downstream and Be Yourself in Multimodal Large Language Model Fine-Tuning cites this paper.

Learn from Downstream and Be Yourself in Multimodal Large Language Model Fine-Tuning HFT: Half Fine-Tuning for Large Language Models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-12T19:14:24.019028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:14:24.019028Z digest=sha256:237c1479a68eda1bb2b9d5e9f0bbefc9660a2cbe9610392661605b40f0d9c462

Observation ec1c5489-2ffa-44b6-abb0-c0e325919784 · inbound

T2I-ConBench: Text-to-Image Benchmark for Continual Post-training cites this paper.

T2I-ConBench: Text-to-Image Benchmark for Continual Post-training HFT: Half Fine-Tuning for Large Language Models

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:56:01.233917Z

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=pdf_text observed=2026-08-07T14:55:54.497205Z digest=sha256:fcf4cde4840a5f230688e1728aee21d049ed95c8ff222f88ad43e7abdc637e74