Pith. sign in

Paper Citation Record · LEDGER

OpenPrompt: An Open-source Framework for Prompt-learning

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2111.01998.

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

pith.paper-citation-record.v1
2111.01998 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:40:13.938239Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:10:05.708156Z

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 dc9dd3c5-9fa6-4cb5-a9a6-7655c1509442 · inbound

Keeping Experts in the Loop: Expert-Guided Optimization for Clinical Data Classification using Large Language Models cites this paper.

Keeping Experts in the Loop: Expert-Guided Optimization for Clinical Data Classification using Large Language Models OpenPrompt: An Open-source Framework for Prompt-learning

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-11T23:49:47.738716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:49:47.738716Z digest=sha256:1aa274bccf74c47afc92932bf55ff71e76e26e96aa42236c25d1c351733eda41

Observation aec0d3a1-73d0-483b-beeb-ff138fff92d6 · inbound

Leveraging Prompt Learning and Pause Encoding for Alzheimer's Disease Detection cites this paper.

Leveraging Prompt Learning and Pause Encoding for Alzheimer's Disease Detection OpenPrompt: An Open-source Framework for Prompt-learning

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-11T19:55:14.913474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:55:14.913474Z digest=sha256:7def60c7ad1f0555373065f085bf69588242d76b620eb75cfceb8639df575b61

Observation abfdb4db-a888-44fa-b062-3916ab89190d · inbound

Prompt Tuning for Item Cold-start Recommendation cites this paper.

Prompt Tuning for Item Cold-start Recommendation OpenPrompt: An Open-source Framework for Prompt-learning

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T05:06:58.194757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:06:58.194757Z digest=sha256:71468bb0c7371588858c573ed76f3e441bed2bceeb564af5a74bb7825f98ec9a

Observation 690b1ae9-2ed2-4b6c-a994-48e135366c84 · inbound

SALAD: Improving Robustness and Generalization through Contrastive Learning with Structure-Aware and LLM-Driven Augmented Data cites this paper.

SALAD: Improving Robustness and Generalization through Contrastive Learning with Structure-Aware and LLM-Driven Augmented Data OpenPrompt: An Open-source Framework for Prompt-learning

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-16T12:40:13.938239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:40:13.938239Z digest=sha256:eb59907824c577e9765e4a4a4df30dd55a053ecf28de9b0a96a1c5ce4b61186c

Observation 78ccfb86-9283-4eb8-8cb4-a5386b7c0c34 · inbound

Towards Structurally Explainable Machine-Generated Text Detection: A Graph-Perspective Framework cites this paper.

Towards Structurally Explainable Machine-Generated Text Detection: A Graph-Perspective Framework OpenPrompt: An Open-source Framework for Prompt-learning

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-15T20:38:53.846869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:38:53.846869Z digest=sha256:d8851eccd6452c67e6324db6d420ce364558e985f545177ca8c1ef9b7e921346

Observation 1e65668e-9e85-4f15-9fbf-824caa61311c · inbound

Hierarchical Self-Prompting SAM: A Prompt-Free Medical Image Segmentation Framework cites this paper.

Hierarchical Self-Prompting SAM: A Prompt-Free Medical Image Segmentation Framework OpenPrompt: An Open-source Framework for Prompt-learning

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T11:19:07.131166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:19:07.131166Z digest=sha256:0b1d7a01747086b5ecb07688ae80fff79b5f74e7e35947cad140b982bef18bed

Observation f6f1074a-b9c9-4bd3-8b75-8d764a41ba66 · inbound

AttriPrompt: Dynamic Prompt Composition Learning for CLIP cites this paper.

AttriPrompt: Dynamic Prompt Composition Learning for CLIP OpenPrompt: An Open-source Framework for Prompt-learning

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-05T04:50:28.465813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T04:50:28.465813Z digest=sha256:516226a431a2f60ef1374c2fe97753cff5d020ef2bf4cd4cc728485e54144caa

Observation d4c858a2-d9c3-40a5-b58c-bcf7ef4b3f6a · inbound

Automatic Generation of Highlights for Academic Paper Via Prompt-based Learning cites this paper.

Automatic Generation of Highlights for Academic Paper Via Prompt-based Learning OpenPrompt: An Open-source Framework for Prompt-learning

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-07-04T19:10:05.709887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-25T21:36:51.594673Z digest=sha256:6f153f933eaf19444bb8ad2e62178d94445311c52cdfd62a4695c613955cc449

Observation 79bf2fdb-d8b2-4680-8b25-a55c501f2720 · inbound

MOON: Multi-Objective OrthoNormalized Updates for Multitask Learning cites this paper.

MOON: Multi-Objective OrthoNormalized Updates for Multitask Learning OpenPrompt: An Open-source Framework for Prompt-learning

Reference 95

Resolution
unresolved
no resolver link, observed 2026-08-16T00:36:02.235218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:36:02.235218Z digest=sha256:7d18550fc3092b71c03116ccc27bd50f686a8e908166f155f751f7ad085339d7