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Paper Citation Record · LEDGER

Exploring Universal Intrinsic Task Subspace via Prompt Tuning

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2110.07867.

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

pith.paper-citation-record.v1
2110.07867 v3

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 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-23T03:29:52.455824Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T03:32:28.257219Z

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 4a98ebe3-a215-4213-a59b-6ec063b60587 · inbound

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

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey Exploring Universal Intrinsic Task Subspace via Prompt Tuning

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-13T11:32:36.840648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T11:32:36.738536Z digest=sha256:8634fecddfef7d395b2fb34fc7706a1d07e8b6239695560616c13c0b4a13448e

Observation d865761d-6efe-4893-879a-3b4a04297339 · inbound

Ultra-Low-Dimensional Prompt Tuning via Random Projection cites this paper.

Ultra-Low-Dimensional Prompt Tuning via Random Projection Exploring Universal Intrinsic Task Subspace via Prompt Tuning

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-23T03:32:28.260522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-23T03:29:52.455824Z digest=sha256:fafe98913bfe6c1af44e6372ff2de35b7384339980cde4168781fe4c12a6de8d