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Paper Citation Record · LEDGER

DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2309.05173.

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

pith.paper-citation-record.v1
2309.05173 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:07:06.772345Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 5cb93362-f8aa-4e34-9289-4e16f1826e0e · inbound

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey cites this paper.

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-13T11:32:36.847096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-13T11:32:36.738536Z digest=sha256:fe6a8d0f928c736091fb3601926e05b99d0d7379ce476a9351ee3adcfce215a0

Observation bdc504eb-cd04-4e2f-9770-a446da4bf93a · inbound

NVCiM-PT: An NVCiM-assisted Prompt Tuning Framework for Edge LLMs cites this paper.

NVCiM-PT: An NVCiM-assisted Prompt Tuning Framework for Edge LLMs DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-12T21:51:53.720335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:51:53.720335Z digest=sha256:ba9d6ff5874bd34f707507ab5df39cdccf8577e34057c40590811c2e35e7c752

Observation 6e59125c-571d-4c01-b97c-f7f2f2a0065a · inbound

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges cites this paper.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning

Reference 113

Resolution
unresolved
no resolver link, observed 2026-08-11T22:41:17.352770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:41:17.352770Z digest=sha256:19438d073156b9a4ed3cdef3fcd4bb91762de13b17fb163460f05638f9851389

Observation 2b3f4dbc-b965-47c2-92b1-7d6f4ed89a6a · inbound

On Zero-Initialized Attention: Optimal Prompt and Gating Factor Estimation cites this paper.

On Zero-Initialized Attention: Optimal Prompt and Gating Factor Estimation DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-09T10:14:21.604269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:14:21.604269Z digest=sha256:29444289730c291c21121636eb4c92f073cea53f9e8479bd53136b205b1c30e8

Observation 1cbf1839-e5a5-4cb9-955f-1f4dce8309c3 · inbound

MAP: Revisiting Weight Decomposition for Low-Rank Adaptation cites this paper.

MAP: Revisiting Weight Decomposition for Low-Rank Adaptation DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T12:56:52.249882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:56:52.249882Z digest=sha256:6dbfe0f330f176f748a563c614002de54e7e6da63f17d062c4d5afaeb6a8d181

Observation 1fa2f61b-16e6-44a2-8812-ac5a585a9477 · inbound

Weight Spectra Induced Efficient Model Adaptation cites this paper.

Weight Spectra Induced Efficient Model Adaptation DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T13:00:58.954288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:00:58.954288Z digest=sha256:6995b10aea6570d2dca7f75e62e1279f8af504621c2d7a949a79b7428bac0406

Observation 94c7fcb6-574b-4b52-8074-4cf760912992 · inbound

COMPKE: Complex Question Answering under Knowledge Editing cites this paper.

COMPKE: Complex Question Answering under Knowledge Editing DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T12:00:22.576866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:00:22.576866Z digest=sha256:6c6387a7e8ba1a67677ca3ecb9956fe4242b9d8f6b71063c3fd56def95acdd1f

Observation 5ce8689d-ac08-491a-ad72-d4564542feed · inbound

The Evolution of Natural Language Processing: How Prompt Optimization and Language Models are Shaping the Future cites this paper.

The Evolution of Natural Language Processing: How Prompt Optimization and Language Models are Shaping the Future DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-15T19:07:06.772345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:07:06.772345Z digest=sha256:a7349c068e5ad5957ebf993884f4f59c7ad2211cc2652679a73220c3da8a355c

Observation 1293ced2-9928-4b0c-a2b2-a6719055db2a · inbound

TAP: Parameter-efficient Task-Aware Prompting for Adverse Weather Removal cites this paper.

TAP: Parameter-efficient Task-Aware Prompting for Adverse Weather Removal DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-05T21:53:30.916437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:53:30.916437Z digest=sha256:6b422bbf1c982bab5793165b95c63446130f2c8c07d687b2074b8177c94bce7f

Observation 638cc0cc-4b31-413a-ae9c-6680dc5e1716 · inbound

Compared to What? Baselines and Metrics for Counterfactual Prompting cites this paper.

Compared to What? Baselines and Metrics for Counterfactual Prompting DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning

Reference 102

Resolution
metadata mismatch
arxiv_id, observed 2026-05-09T19:05:10.384247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-09T19:02:46.991897Z digest=sha256:12e78a0ef3efe637f5efe5195513170e23fc5ced6f4a36476e07e9149fd502f2