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Paper Citation Record · LEDGER

Late Prompt Tuning: A Late Prompt Could Be Better Than Many Prompts

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2210.11292.

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

pith.paper-citation-record.v1
2210.11292 v2

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 2026-08-12T19:14:24.103422Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T11:32:36.800173Z

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 5a33fac9-d288-424f-ab3a-e560beb686b5 · inbound

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

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey Late Prompt Tuning: A Late Prompt Could Be Better Than Many Prompts

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-13T11:32:36.802324Z

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=pdf_text observed=2026-05-13T11:32:36.738536Z digest=sha256:c1bd4525b825ab2659f98b251f467f6d832bcb734a3efd84bafad750bd2927a4

Observation f6aee091-95ce-462e-9861-0b11508cf13c · inbound

Learn from Downstream and Be Yourself in Multimodal Large Language Model Fine-Tuning cites this paper.

Learn from Downstream and Be Yourself in Multimodal Large Language Model Fine-Tuning Late Prompt Tuning: A Late Prompt Could Be Better Than Many Prompts

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-12T19:14:24.103422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:14:24.103422Z digest=sha256:5a3618502f2c8919850628519b7fd15d28f879977a9ad06646c1b4bd178a6426

Observation ae7f1c48-6f77-4711-8211-fc93d902de6a · 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 Late Prompt Tuning: A Late Prompt Could Be Better Than Many Prompts

Reference 104

Resolution
unresolved
no resolver link, observed 2026-08-11T22:41:16.919749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:41:16.919749Z digest=sha256:e572170b223bd605a3918c19eae5d661b62e17a01c7634a394ec75e3f4c6c493