Paper Citation Record · LEDGER

SelfPrompt: Confidence-Aware Semi-Supervised Tuning for Robust Vision-Language Model Adaptation

As of 20 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2501.14148.

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

pith.paper-citation-record.v1
2501.14148 v2

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:24:42.314236Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

13 of 13 outbound references displayed

verified exact0
verified fuzzy4
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 95df2f46-6024-4be3-a59e-07d054b8312d · outbound

This paper cites Training is performed on a single Nvidia V100 GPU.

SelfPrompt: Confidence-Aware Semi-Supervised Tuning for Robust Vision-Language Model Adaptation Training is performed on a single Nvidia V100 GPU

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:24:42.474259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fb824a61-1512-4704-acbc-736d5c04df85 · outbound

This paper cites UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild.

SelfPrompt: Confidence-Aware Semi-Supervised Tuning for Robust Vision-Language Model Adaptation UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T15:24:42.280796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09eb3f67-a5b6-41e7-b845-a5b21609e201 · outbound

This paper cites an unresolved cited work.

SelfPrompt: Confidence-Aware Semi-Supervised Tuning for Robust Vision-Language Model Adaptation Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-10T15:24:42.487629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation da71673d-1e94-4073-b9c5-eb974010c965 · outbound

This paper cites A similar multi-modal approach was proposed in PromptSRC (Khattak et al., 2023), which, unlike MaPLe, focused on learning task-agnostic and independent prompts for text and images.

SelfPrompt: Confidence-Aware Semi-Supervised Tuning for Robust Vision-Language Model Adaptation A similar multi-modal approach was proposed in PromptSRC (Khattak et al., 2023), which, unlike MaPLe, focused on learning task-agnostic and independent prompts for text and images

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:24:42.459379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a572aef1-e5eb-49f8-ad76-2658c6cf61c7 · outbound

This paper cites an unresolved cited work.

SelfPrompt: Confidence-Aware Semi-Supervised Tuning for Robust Vision-Language Model Adaptation Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-10T15:24:42.445195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fc47aef5-32bb-4054-acea-fc6e7b166ac7 · outbound

This paper cites Both GRIP and CPL adopt an iterative process, where the model is used to continuously refine and select additional samples from the unlabelled set.

SelfPrompt: Confidence-Aware Semi-Supervised Tuning for Robust Vision-Language Model Adaptation Both GRIP and CPL adopt an iterative process, where the model is used to continuously refine and select additional samples from the unlabelled set

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:24:42.432406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 503bf76b-99f9-4e07-aeea-fc94bc829a89 · outbound

This paper cites The caltech-ucsd birds-200-2011 dataset.

SelfPrompt: Confidence-Aware Semi-Supervised Tuning for Robust Vision-Language Model Adaptation The caltech-ucsd birds-200-2011 dataset

Reference 2012

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:24:42.517333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9de05a0e-2fb9-4c1c-9d71-77166867c066 · outbound

This paper cites Enabling Calibration In The Zero-Shot Inference of Large Vision-Language Models.

SelfPrompt: Confidence-Aware Semi-Supervised Tuning for Robust Vision-Language Model Adaptation Enabling Calibration In The Zero-Shot Inference of Large Vision-Language Models

Reference 2013

Resolution: unresolved; no resolver link, observed 2026-08-10T15:24:42.271028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a995eca-1990-4d86-a025-a70c9c507f54 · outbound

This paper cites Unsupervised Prompt Learning for Vision-Language Models.

SelfPrompt: Confidence-Aware Semi-Supervised Tuning for Robust Vision-Language Model Adaptation Unsupervised Prompt Learning for Vision-Language Models

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-10T15:24:42.261667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a203636d-42fc-443b-a800-f1eaed255ff5 · outbound

This paper cites MaPLe: Multi-modal Prompt Learning.

SelfPrompt: Confidence-Aware Semi-Supervised Tuning for Robust Vision-Language Model Adaptation MaPLe: Multi-modal Prompt Learning

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-10T15:24:42.266421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e785651-5e9e-4fa0-adec-4410538c4b2c · outbound

This paper cites Exploring Visual Prompts for Adapting Large-Scale Models.

SelfPrompt: Confidence-Aware Semi-Supervised Tuning for Robust Vision-Language Model Adaptation Exploring Visual Prompts for Adapting Large-Scale Models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-10T15:24:42.255628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d62202e2-bce3-4817-bb0b-531d2c74fce2 · outbound

This paper cites an unresolved cited work.

SelfPrompt: Confidence-Aware Semi-Supervised Tuning for Robust Vision-Language Model Adaptation Unresolved cited work

Reference 2023

Resolution: unresolved; raw_fallback, observed 2026-08-10T15:24:42.503510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 92d80575-24a5-4be0-9cb6-efc3cc6b68a1 · outbound

This paper cites Fine-Grained Visual Classification of Aircraft.

SelfPrompt: Confidence-Aware Semi-Supervised Tuning for Robust Vision-Language Model Adaptation Fine-Grained Visual Classification of Aircraft

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-10T15:24:42.276179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.