Paper Citation Record · LEDGER

Concept-Constrained Prompt Learning for Few-Shot CLIP Adaptation

As of 12 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2606.22567.

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

pith.paper-citation-record.v1
2606.22567 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T10:53:58.516918Z

measured 16 of 16 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 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

16 of 16 outbound references displayed

verified exact0
verified fuzzy0
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 541bb697-467d-41fb-acaa-ed4106a70ad7 · outbound

This paper cites Describing textures in the wild.

Concept-Constrained Prompt Learning for Few-Shot CLIP Adaptation Describing textures in the wild

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-26T10:53:58.516918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation faffb9d4-a394-443d-a31e-4d52d45812ac · outbound

This paper cites Clip-adapter: Better vision-language models with feature adapters.

Concept-Constrained Prompt Learning for Few-Shot CLIP Adaptation Clip-adapter: Better vision-language models with feature adapters

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-26T10:53:58.516918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05ad188e-6d93-43c0-b228-dc16ee288ac1 · outbound

This paper cites an unresolved cited work.

Concept-Constrained Prompt Learning for Few-Shot CLIP Adaptation Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-26T10:53:58.516918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc822284-f7e3-4b6d-a400-2160a808e04e · outbound

This paper cites Visual prompt tuning.

Concept-Constrained Prompt Learning for Few-Shot CLIP Adaptation Visual prompt tuning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-26T10:53:58.516918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c28a15b9-87d0-46a4-836a-5b55f17250ec · outbound

This paper cites Maple: Multi-modal prompt learning.

Concept-Constrained Prompt Learning for Few-Shot CLIP Adaptation Maple: Multi-modal prompt learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-26T10:53:58.516918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4541ef8a-691e-4d0c-8fdb-aa6aec57950d · outbound

This paper cites Self-regulating prompts: Foundational model adaptation without forgetting.

Concept-Constrained Prompt Learning for Few-Shot CLIP Adaptation Self-regulating prompts: Foundational model adaptation without forgetting

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-26T10:53:58.516918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85bf1acd-6d4f-4923-9aa7-b8c1b6f7f99c · outbound

This paper cites Concept bottleneck models.

Concept-Constrained Prompt Learning for Few-Shot CLIP Adaptation Concept bottleneck models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-26T10:53:58.516918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32995762-92e2-4809-8464-6b42d0d7b642 · outbound

This paper cites Lampert, Hannes Nickisch, and Stefan Harmeling.

Concept-Constrained Prompt Learning for Few-Shot CLIP Adaptation Lampert, Hannes Nickisch, and Stefan Harmeling

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-26T10:53:58.516918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca452870-dd7c-4faa-b637-c279bf7ab10f · outbound

This paper cites Visual classification via description from large language models.

Concept-Constrained Prompt Learning for Few-Shot CLIP Adaptation Visual classification via description from large language models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-26T10:53:58.516918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9668d987-67a1-459f-9cb3-592b83208d3c · outbound

This paper cites Parkhi, Andrea Vedaldi, Andrew Zisserman, and C.

Concept-Constrained Prompt Learning for Few-Shot CLIP Adaptation Parkhi, Andrea Vedaldi, Andrew Zisserman, and C

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-26T10:53:58.516918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb9c143d-8951-43be-b419-80ecf24feb26 · outbound

This paper cites Learning transferable visual models from natural language supervision.

Concept-Constrained Prompt Learning for Few-Shot CLIP Adaptation Learning transferable visual models from natural language supervision

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-26T10:53:58.516918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 031ef2db-13b4-422c-983b-5ecb6c3731ac · outbound

This paper cites Kgcoop: Knowledge-guided context optimization for vision-language models.

Concept-Constrained Prompt Learning for Few-Shot CLIP Adaptation Kgcoop: Knowledge-guided context optimization for vision-language models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-26T10:53:58.516918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f228c9ef-2188-4094-820c-258eda426af7 · outbound

This paper cites Tip-adapter: Training-free clip-adapter for better vision-language modeling.

Concept-Constrained Prompt Learning for Few-Shot CLIP Adaptation Tip-adapter: Training-free clip-adapter for better vision-language modeling

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-26T10:53:58.516918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5159746-1b8f-4ab5-b376-88b89a90c21c · outbound

This paper cites Conditional prompt learning for vision-language models.

Concept-Constrained Prompt Learning for Few-Shot CLIP Adaptation Conditional prompt learning for vision-language models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-26T10:53:58.516918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3cfb85b5-eb04-4433-b163-f78bc3d650fb · outbound

This paper cites Learning to prompt for vision-language models.

Concept-Constrained Prompt Learning for Few-Shot CLIP Adaptation Learning to prompt for vision-language models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-26T10:53:58.516918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45515015-8689-4bf0-b19f-090d81483c78 · outbound

This paper cites Prompt-aligned gradient for prompt tuning.

Concept-Constrained Prompt Learning for Few-Shot CLIP Adaptation Prompt-aligned gradient for prompt tuning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-26T10:53:58.516918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.