Paper Citation Record · LEDGER

Learning to Prompt with Text Only Supervision for Vision-Language Models

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2401.02418.

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

pith.paper-citation-record.v1
2401.02418 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:17:34.076924Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T00:42:19.243424Z

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 c367b3aa-d66b-425f-91f5-46a4b2ac7e46 · inbound

BiomedCoOp: Learning to Prompt for Biomedical Vision-Language Models cites this paper.

BiomedCoOp: Learning to Prompt for Biomedical Vision-Language Models Learning to Prompt with Text Only Supervision for Vision-Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T15:15:54.588588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0698ed8-055f-4597-84fe-c3213dd89853 · inbound

CLIP meets DINO for Tuning Zero-Shot Classifier using Unlabeled Image Collections cites this paper.

CLIP meets DINO for Tuning Zero-Shot Classifier using Unlabeled Image Collections Learning to Prompt with Text Only Supervision for Vision-Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T10:20:26.672376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af6b1608-4dd8-4adc-a3df-20c9d03c8fb5 · inbound

UniMed-CLIP: Towards a Unified Image-Text Pretraining Paradigm for Diverse Medical Imaging Modalities cites this paper.

UniMed-CLIP: Towards a Unified Image-Text Pretraining Paradigm for Diverse Medical Imaging Modalities Learning to Prompt with Text Only Supervision for Vision-Language Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-11T15:59:08.885493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b74b7657-4700-40be-abb7-424aad5c1e93 · inbound

Chameleon: Benchmarking Detection and Backtracking on Commercial-Grade AI-Generated Videos cites this paper.

Chameleon: Benchmarking Detection and Backtracking on Commercial-Grade AI-Generated Videos Learning to Prompt with Text Only Supervision for Vision-Language Models

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-23T00:42:19.246442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation aacc854d-b46a-4a08-99c7-cf3eb839c0cd · inbound

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning cites this paper.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning Learning to Prompt with Text Only Supervision for Vision-Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T23:17:34.076924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3be455e-7f9c-420e-bd4e-cf8364c5effb · inbound

Proxy-FDA: Proxy-based Feature Distribution Alignment for Fine-tuning Vision Foundation Models without Forgetting cites this paper.

Proxy-FDA: Proxy-based Feature Distribution Alignment for Fine-tuning Vision Foundation Models without Forgetting Learning to Prompt with Text Only Supervision for Vision-Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T12:41:48.889407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51065ff2-c03d-434e-a71f-bd37dd7a3272 · inbound

TextSAM-EUS: Text Prompt Learning for SAM to Accurately Segment Pancreatic Tumor in Endoscopic Ultrasound cites this paper.

TextSAM-EUS: Text Prompt Learning for SAM to Accurately Segment Pancreatic Tumor in Endoscopic Ultrasound Learning to Prompt with Text Only Supervision for Vision-Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T18:21:37.166932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 178df298-caea-4ee9-9593-e1f7e1d37751 · inbound

DeCo-DETR: Decoupled Cognition DETR for efficient Open-Vocabulary Object Detection cites this paper.

DeCo-DETR: Decoupled Cognition DETR for efficient Open-Vocabulary Object Detection Learning to Prompt with Text Only Supervision for Vision-Language Models

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T20:33:16.703493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1baca7db-dd98-405e-b966-5bdc8c01954c · inbound

DeCo-DETR: Decoupled Cognition DETR for efficient Open-Vocabulary Object Detection cites this paper.

DeCo-DETR: Decoupled Cognition DETR for efficient Open-Vocabulary Object Detection Learning to Prompt with Text Only Supervision for Vision-Language Models

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T21:49:29.338472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3db6d12f-3775-4dcf-980c-5777b14d8fa4 · inbound

LAGO: Language-Guided Adaptive Object-Region Focus for Zero-Shot Visual-Text Alignment cites this paper.

LAGO: Language-Guided Adaptive Object-Region Focus for Zero-Shot Visual-Text Alignment Learning to Prompt with Text Only Supervision for Vision-Language Models

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-12T01:46:14.746974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.