Paper Citation Record · LEDGER

HiFT: A Hierarchical Full Parameter Fine-Tuning Strategy

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2401.15207.

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

pith.paper-citation-record.v1
2401.15207 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:54:10.593617Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T11:37:43.550516Z

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 1cea7b6d-03f0-4d79-b005-f3be4fb59c66 · inbound

SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model cites this paper.

SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model HiFT: A Hierarchical Full Parameter Fine-Tuning Strategy

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-08T20:54:10.593617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c215081-916c-4983-9e2e-78cf062b1f82 · inbound

Why Do More Experts Fail? A Theoretical Analysis of Model Merging cites this paper.

Why Do More Experts Fail? A Theoretical Analysis of Model Merging HiFT: A Hierarchical Full Parameter Fine-Tuning Strategy

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T13:44:34.329800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e3b0e7d-0f44-43e3-a0a7-358d6297b950 · inbound

Look Within or Look Beyond? A Theoretical Comparison Between Parameter-Efficient and Full Fine-Tuning cites this paper.

Look Within or Look Beyond? A Theoretical Comparison Between Parameter-Efficient and Full Fine-Tuning HiFT: A Hierarchical Full Parameter Fine-Tuning Strategy

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T13:15:41.039555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59340d76-f891-42ef-8770-0f4004a2d841 · inbound

Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams cites this paper.

Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams HiFT: A Hierarchical Full Parameter Fine-Tuning Strategy

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T13:27:08.601156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2e1c1e1-11cc-4295-956a-9b25fe928a0e · inbound

H2Tune: Federated Foundation Model Fine-Tuning with Hybrid Heterogeneity cites this paper.

H2Tune: Federated Foundation Model Fine-Tuning with Hybrid Heterogeneity HiFT: A Hierarchical Full Parameter Fine-Tuning Strategy

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-08-06T11:37:43.640647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.