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Paper Citation Record · LEDGER

LoPT: Low-Rank Prompt Tuning for Parameter Efficient Language Models

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.19486.

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

pith.paper-citation-record.v1
2406.19486 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:14:33.555181Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T03:32:28.269513Z

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 937496b2-f83a-4e2b-9745-ad1c7cf3b02b · inbound

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

Ultra-Low-Dimensional Prompt Tuning via Random Projection LoPT: Low-Rank Prompt Tuning for Parameter Efficient Language Models

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-23T03:32:28.275032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-23T03:29:52.455824Z digest=sha256:ea5e270f6a662970b04e3dcd1bd78b08237a90be5bd21638d01158d6dfe8950f

Observation 2726a0e4-0f88-476d-aebf-8984ffc4d260 · inbound

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability cites this paper.

Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability LoPT: Low-Rank Prompt Tuning for Parameter Efficient Language Models

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-16T11:14:33.555181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:14:33.555181Z digest=sha256:2578fdab35e943f875c0a0452d3f92956c2fdd0e342ebc0538219a659c1d8024

Observation 939a3375-91b5-4ccf-bdca-7c52ced9d639 · 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 LoPT: Low-Rank Prompt Tuning for Parameter Efficient Language Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-15T19:07:06.776260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:07:06.776260Z digest=sha256:ba64e4da04588989124327c2bfd1327edfd444baea8ea0e1210be40177ea586a