Pith. sign in

Paper Citation Record · LEDGER

When Do Prompting and Prefix-Tuning Work? A Theory of Capabilities and Limitations

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2310.19698.

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

pith.paper-citation-record.v1
2310.19698 v2

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 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T09:21:31.494052Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T11:41:30.168766Z

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 7f7f6da5-89ce-4838-aeed-fb85854fa712 · inbound

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

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey When Do Prompting and Prefix-Tuning Work? A Theory of Capabilities and Limitations

Reference 103

Resolution
verified exact
arxiv_id, observed 2026-05-13T11:32:37.046722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T11:32:36.738536Z digest=sha256:840f98b8e6e306d4873b3aa350eb77fa00a39c68e9068d7f01008242cd0ce66c

Observation d83c5551-0d89-4739-9403-3954e173b0fb · inbound

PrefixMemory-Tuning: Modernizing Prefix-Tuning by Decoupling the Prefix from Attention cites this paper.

PrefixMemory-Tuning: Modernizing Prefix-Tuning by Decoupling the Prefix from Attention When Do Prompting and Prefix-Tuning Work? A Theory of Capabilities and Limitations

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-19T09:27:14.693324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T09:24:04.289799Z digest=sha256:58775c02346edbcd54da1e66762d68548bc3780fd672a7c8f24780d42d219eb7

Observation af059532-9a6d-41eb-b883-6eaf1c2cc2b9 · inbound

PRiSM: Benchmarking Phone Realization in Speech Models cites this paper.

PRiSM: Benchmarking Phone Realization in Speech Models When Do Prompting and Prefix-Tuning Work? A Theory of Capabilities and Limitations

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-03T09:21:31.494052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:21:31.494052Z digest=sha256:80aa87f3c23880309ba5bf64930c7d0c25e058882d99e6ed5638cf3ee6209e03

Observation 977e3547-b13e-4c9f-a0c8-0513ff57415b · inbound

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap cites this paper.

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap When Do Prompting and Prefix-Tuning Work? A Theory of Capabilities and Limitations

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-22T11:41:30.172056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T11:38:16.149523Z digest=sha256:fdad70159122a647b37a4c0f02e212b19e7dc072a5de464f4b262ef5b9ca0b7b

Observation 44a090db-fbca-49ff-96dd-b50918dc405b · inbound

Combining pre-trained models via localized model averaging cites this paper.

Combining pre-trained models via localized model averaging When Do Prompting and Prefix-Tuning Work? A Theory of Capabilities and Limitations

Reference 164

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T17:57:32.954142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-14T17:56:34.111280Z digest=sha256:62b856f5a0155a7320e407596c99fe580dc9b4cc080ce44d5c894cdef33f9f44