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Paper Citation Record · LEDGER

Sparse Structure Search for Parameter-Efficient Tuning

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2206.07382.

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

pith.paper-citation-record.v1
2206.07382 v1

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 2026-08-21T06:32:19.484+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:59:48.650321Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T11:32:37.042687Z

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 4f93eac4-86ff-4903-b4f2-39ef071b562f · inbound

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

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey Sparse Structure Search for Parameter-Efficient Tuning

Reference 102

Resolution
verified exact
arxiv_id, observed 2026-05-13T11:32:37.044100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-13T11:32:36.738536Z digest=sha256:91c370b58b2c693e1e4d56e5c008bc02653223a34015dbb5dd0aa37fded14a04

Observation ca1b055b-a4d9-4c39-9686-99a1df7506d0 · 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 Sparse Structure Search for Parameter-Efficient Tuning

Reference 156

Resolution
unresolved
no resolver link, observed 2026-08-11T22:41:19.242719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:41:19.242719Z digest=sha256:9f0cbd99bb79a818c8833fcb50599790857e4cd77f5638f1bd3da1012b2044ed

Observation f679a7f7-164e-4c9c-83a8-bb33fd2a72c2 · inbound

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning cites this paper.

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning Sparse Structure Search for Parameter-Efficient Tuning

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-10T19:29:51.326533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:29:51.326533Z digest=sha256:ff550298f27064eb56379b292e38bdfc1e22424ed6ec9a809b122ab0b6e4b9a4

Observation 7cd818b1-5267-4970-bcdb-d2a05cb4bfe9 · inbound

PARA: Parameter-Efficient Fine-tuning with Prompt Aware Representation Adjustment cites this paper.

PARA: Parameter-Efficient Fine-tuning with Prompt Aware Representation Adjustment Sparse Structure Search for Parameter-Efficient Tuning

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-09T16:56:09.435722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:56:09.435722Z digest=sha256:79d5d0f38888fc4920e029bbf84b3ebd30cc078da69bbbaf2c9efbfd5ecb3f3b

Observation cbc4ec17-1a58-430d-92e1-d34031c90186 · inbound

PEFT A2Z: Parameter-Efficient Fine-Tuning Survey for Large Language and Vision Models cites this paper.

PEFT A2Z: Parameter-Efficient Fine-Tuning Survey for Large Language and Vision Models Sparse Structure Search for Parameter-Efficient Tuning

Reference 251

Resolution
unresolved
no resolver link, observed 2026-08-16T11:59:48.650321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:59:48.650321Z digest=sha256:62731b45627315f7aa755f74bc7ac95f11fb75bc2fa2377d4fdd8d8826a11347