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Paper Citation Record · LEDGER

Maintaining Structural Integrity in Parameter Spaces for Parameter Efficient Fine-tuning

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2405.14739.

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

pith.paper-citation-record.v1
2405.14739 v2

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 2026-08-11T06:34:44.6726+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:12:34.583585Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T21:12:47.200196Z

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 9a4542c5-6aad-4a5f-b18e-34a343c9297f · inbound

DoTA: Weight-Decomposed Tensor Adaptation for Large Language Models cites this paper.

DoTA: Weight-Decomposed Tensor Adaptation for Large Language Models Maintaining Structural Integrity in Parameter Spaces for Parameter Efficient Fine-tuning

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-10T23:12:34.583585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:12:34.583585Z digest=sha256:8d368b5c4f7a3aaaf2f1878ea516026a4ec04a64e60f4d0b602c3b3a1086f169

Observation 1ee16ce6-d40b-4be5-b189-fa3c6654258f · inbound

Towards Efficient Optimizer Design for LLM via Structured Fisher Approximation with a Low-Rank Extension cites this paper.

Towards Efficient Optimizer Design for LLM via Structured Fisher Approximation with a Low-Rank Extension Maintaining Structural Integrity in Parameter Spaces for Parameter Efficient Fine-tuning

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-08T11:46:47.763401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T11:46:47.763401Z digest=sha256:8cfa0f0ebb0eff17f9964c03c57e93574ad38c2afb3e4d17e265d52ff5240c4e

Observation 5bcb93f3-275d-474a-9a07-cc0fff1afeab · inbound

Why Can Accurate Models Be Learned from Inaccurate Annotations? cites this paper.

Why Can Accurate Models Be Learned from Inaccurate Annotations? Maintaining Structural Integrity in Parameter Spaces for Parameter Efficient Fine-tuning

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T15:10:14.101244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:10:14.101244Z digest=sha256:186e66287d2f57c5b836c32954ef4f7fa219f36114bba4d5ac49ea790779cb08

Observation 25722ac5-966c-43c9-9b7a-0583f00878dc · inbound

Weight Spectra Induced Efficient Model Adaptation cites this paper.

Weight Spectra Induced Efficient Model Adaptation Maintaining Structural Integrity in Parameter Spaces for Parameter Efficient Fine-tuning

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T13:00:59.093443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:00:59.093443Z digest=sha256:04e0e2142c1628b2695796558c00a76156af0a82d7bd09e7617861730b657b95

Observation 6804a3a7-0387-49af-9c59-2576e72fd96a · inbound

GLT-PEFT: Gated Lie-Tucker Parameter-Efficient Fine-Tuning for Alzheimer's Disease Diagnosis with Hippocampal Segmentation Pretraining cites this paper.

GLT-PEFT: Gated Lie-Tucker Parameter-Efficient Fine-Tuning for Alzheimer's Disease Diagnosis with Hippocampal Segmentation Pretraining Maintaining Structural Integrity in Parameter Spaces for Parameter Efficient Fine-tuning

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-19T21:12:47.201512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-19T21:10:14.720338Z digest=sha256:c484ef6e2ba82afc9af576139833b6984ddd98985f1bb48b5c214d413240ac86