Paper Citation Record · LEDGER

Consistency-guided Prompt Learning for Vision-Language Models

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2306.01195.

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

pith.paper-citation-record.v1
2306.01195 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:43:17.196914Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T04:17:37.195049Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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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 10dc5289-f6bc-43a1-bd77-f95113efe67c · inbound

Style-Pro: Style-Guided Prompt Learning for Generalizable Vision-Language Models cites this paper.

Style-Pro: Style-Guided Prompt Learning for Generalizable Vision-Language Models Consistency-guided Prompt Learning for Vision-Language Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-12T13:43:17.196914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f46c994-a1c0-4747-b71a-05dc7bd05873 · inbound

Skip Tuning: Pre-trained Vision-Language Models are Effective and Efficient Adapters Themselves cites this paper.

Skip Tuning: Pre-trained Vision-Language Models are Effective and Efficient Adapters Themselves Consistency-guided Prompt Learning for Vision-Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T14:55:40.992129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e36b19b4-483a-4722-bbe2-63444d7deed0 · inbound

Multiple Consistency-guided Test-Time Adaptation for Contrastive Audio-Language Models with Unlabeled Audio cites this paper.

Multiple Consistency-guided Test-Time Adaptation for Contrastive Audio-Language Models with Unlabeled Audio Consistency-guided Prompt Learning for Vision-Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T05:40:31.482602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7e2f348-0aad-43ab-b234-5f74a997bcff · inbound

ProKeR: A Kernel Perspective on Few-Shot Adaptation of Large Vision-Language Models cites this paper.

ProKeR: A Kernel Perspective on Few-Shot Adaptation of Large Vision-Language Models Consistency-guided Prompt Learning for Vision-Language Models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-10T18:40:27.264691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 647cce02-8d1f-4b85-85fd-3b1a2f732eb7 · inbound

DiSa: Directional Saliency-Aware Prompt Learning for Generalizable Vision-Language Models cites this paper.

DiSa: Directional Saliency-Aware Prompt Learning for Generalizable Vision-Language Models Consistency-guided Prompt Learning for Vision-Language Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T14:20:05.933910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37eb979b-b05a-49ee-92e1-57729af101a1 · inbound

LARGO: Low-Rank Regulated Gradient Projection for Robust Parameter Efficient Fine-Tuning cites this paper.

LARGO: Low-Rank Regulated Gradient Projection for Robust Parameter Efficient Fine-Tuning Consistency-guided Prompt Learning for Vision-Language Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T00:58:10.106396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12b340c9-99c4-41ff-88fd-74d7da31fbaf · inbound

Mettle: Meta-Token Learning for Memory-Efficient Audio-Visual Adaptation cites this paper.

Mettle: Meta-Token Learning for Memory-Efficient Audio-Visual Adaptation Consistency-guided Prompt Learning for Vision-Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T21:52:06.380572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bf813c6-152a-4bcf-9010-af13b40d0145 · inbound

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models cites this paper.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Consistency-guided Prompt Learning for Vision-Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T18:27:46.895300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30f312cf-5740-4104-ad46-e540a1638795 · inbound

Gram-Anchored Prompt Learning for Vision-Language Models via Second-Order Statistics cites this paper.

Gram-Anchored Prompt Learning for Vision-Language Models via Second-Order Statistics Consistency-guided Prompt Learning for Vision-Language Models

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-14T22:19:31.824068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 38b61483-6ae9-48e5-b3c7-05dc67544cc1 · inbound

Variational Adapter for Cross-modal Similarity Representation cites this paper.

Variational Adapter for Cross-modal Similarity Representation Consistency-guided Prompt Learning for Vision-Language Models

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-01T19:16:00.162367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c22ea0aa-6fc6-4b7e-975a-f5eff3c67744 · inbound

5% > 100%: Flatness Preference is All You Need for Multimodal Parameter-Efficient Fine-Tuning cites this paper.

5% > 100%: Flatness Preference is All You Need for Multimodal Parameter-Efficient Fine-Tuning Consistency-guided Prompt Learning for Vision-Language Models

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-07-03T04:17:37.197078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.