Pith. sign in

Paper Citation Record · LEDGER

InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2306.04933.

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

pith.paper-citation-record.v1
2306.04933 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:49:52.223687Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T04:19:34.440982Z

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 3db65532-f79a-4518-a3ca-4c61b9b91e79 · inbound

H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models cites this paper.

H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding

Reference 132

Resolution
verified exact
arxiv_id, observed 2026-05-17T18:00:50.380563Z

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=2026-05-17T18:00:50.053377Z digest=sha256:3cb7e20e42074bb05eb4a45007ca3bb20bc07210320a9014f7f102f0493de3b3

Observation 5875077e-5c96-4604-b1fc-2876b90f1695 · inbound

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

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-13T11:32:36.819180Z

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:a160d165428f09438b9c8b1bdd37a639ffa4763ec431b880467a3254b1885008

Observation b56b7ab0-c33c-4610-bb19-3fee553aa647 · inbound

Information-Theoretic Complementary Prompts for Improved Continual Text Classification cites this paper.

Information-Theoretic Complementary Prompts for Improved Continual Text Classification InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T13:49:52.223687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:49:52.223687Z digest=sha256:e7d46f492e3c646cf3683aa0cc1ab3b83580a036ad417f65cbfaeace5aa55f44

Observation 7ea69845-c3b5-46c7-b284-d1dab223a51a · inbound

SoftSkill: Behavioral Compression for Contextual Adaptation cites this paper.

SoftSkill: Behavioral Compression for Contextual Adaptation InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T04:19:34.442586Z

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=2026-06-26T17:05:35.902167Z digest=sha256:baf4847184a422db739a4d9ea4570f67607da813e9c65b162a369fb37bf58550