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Paper Citation Record · LEDGER

PLOT: Prompt Learning with Optimal Transport for Vision-Language Models

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2210.01253.

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

pith.paper-citation-record.v1
2210.01253 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:27:41.711128Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T02:22:25.144323Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7a8d533c-9ec1-4fc1-ad0f-02587bfbd8c4 · 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 PLOT: Prompt Learning with Optimal Transport for Vision-Language Models

Reference 4

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no resolver link, observed 2026-08-12T13:43:17.045176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:43:17.045176Z digest=sha256:8c6999f2a1457031623d9450fbb339220bc4359807ba3da83eeab7d07f88a9f5

Observation c8585b62-2b8c-443f-9a07-4a4809c36f13 · inbound

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP cites this paper.

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP PLOT: Prompt Learning with Optimal Transport for Vision-Language Models

Reference 2

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no resolver link, observed 2026-08-11T15:05:07.893789Z

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source=arxiv_source observed=2026-08-11T15:05:07.893789Z digest=sha256:dfb7eefa9f3d710fe9e5362ab872b15fe66cdfb0021413d615d8dd34b00e664b

Observation 4a98b662-ebb9-413b-a4db-4f9aff6f255e · inbound

Differentiable Prompt Learning for Vision Language Models cites this paper.

Differentiable Prompt Learning for Vision Language Models PLOT: Prompt Learning with Optimal Transport for Vision-Language Models

Reference 2019

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no resolver link, observed 2026-08-10T22:54:51.953413Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:54:51.953413Z digest=sha256:2a7f9b455e939a27cf0a94d13a7de98aacccc030b7af91eb30d707f94d57f790

Observation bd66fc70-8f91-4671-9b1e-0c3ad1169498 · 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 PLOT: Prompt Learning with Optimal Transport for Vision-Language Models

Reference 6

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no resolver link, observed 2026-08-10T18:40:27.058292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:40:27.058292Z digest=sha256:6be77730ed8f463ef71176f5cc053fcacbb0f97bb668aac29daa76c5fd7a6290

Observation bad91d32-8e5f-4225-9348-4edbd426617f · inbound

Learning Clustering-based Prototypes for Compositional Zero-shot Learning cites this paper.

Learning Clustering-based Prototypes for Compositional Zero-shot Learning PLOT: Prompt Learning with Optimal Transport for Vision-Language Models

Reference 74

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no resolver link, observed 2026-08-08T15:19:06.208402Z

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source=pdf_text observed=2026-08-08T15:19:06.208402Z digest=sha256:71204085e4b3148da4c8fdb245811621df9348adcee9cee214649cbce8a42921

Observation 825809c2-c157-4962-a845-6d2b02278f38 · inbound

Grad-ECLIP: Gradient-based Visual and Textual Explanations for CLIP cites this paper.

Grad-ECLIP: Gradient-based Visual and Textual Explanations for CLIP PLOT: Prompt Learning with Optimal Transport for Vision-Language Models

Reference 10

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verified exact
arxiv_id, observed 2026-05-23T02:22:25.146541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-23T02:21:09.704462Z digest=sha256:cf07935977c142f60a0bb48205b1f54690a547a1f5c83a7783878c7fd0ca5b1f

Observation b469bb20-1a86-4bbc-9767-17b5bcfc43fa · 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 PLOT: Prompt Learning with Optimal Transport for Vision-Language Models

Reference 4

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no resolver link, observed 2026-08-07T14:20:01.695389Z

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source=pdf_text observed=2026-08-07T14:20:01.695389Z digest=sha256:5ac1ee6c7b01c202f31865cff3d3a0abbbfbd6e3504f57b6a2594052c553331b

Observation a76a15da-a26a-4dae-8c3b-0bf782d138b0 · inbound

OV-COAST: Cost Aggregation with Optimal Transport for Open-Vocabulary Semantic Segmentation cites this paper.

OV-COAST: Cost Aggregation with Optimal Transport for Open-Vocabulary Semantic Segmentation PLOT: Prompt Learning with Optimal Transport for Vision-Language Models

Reference 3

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no resolver link, observed 2026-08-07T10:59:32.858957Z

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source=pdf_text observed=2026-08-07T10:59:32.858957Z digest=sha256:1d8dc6acdaa288af00faa333639af4c1ba39194c305c4b9781b317cc958f6223

Observation 189352ca-c512-4d54-91b6-7de8e4ee87a1 · inbound

Improving Personalized Search with Regularized Low-Rank Parameter Updates cites this paper.

Improving Personalized Search with Regularized Low-Rank Parameter Updates PLOT: Prompt Learning with Optimal Transport for Vision-Language Models

Reference 6

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no resolver link, observed 2026-08-07T04:39:31.311960Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:39:31.311960Z digest=sha256:c73214f80e16e568ccab58ce05442b1353d211fdd2d5468e0da76a954b62b113

Observation d3e70972-a2ea-426c-851b-8dcea2b82038 · inbound

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

Mettle: Meta-Token Learning for Memory-Efficient Audio-Visual Adaptation PLOT: Prompt Learning with Optimal Transport for Vision-Language Models

Reference 3

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no resolver link, observed 2026-08-06T21:52:05.432881Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:52:05.432881Z digest=sha256:e8fcf418d68756c1b0d64bb177e1592c3a3ae6402485d03105d7c9e88a7c7780

Observation 1a71a4bd-d533-46f0-a1d6-0046fcef23b4 · inbound

MADPOT: Medical Anomaly Detection with CLIP Adaptation and Partial Optimal Transport cites this paper.

MADPOT: Medical Anomaly Detection with CLIP Adaptation and Partial Optimal Transport PLOT: Prompt Learning with Optimal Transport for Vision-Language Models

Reference 9

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no resolver link, observed 2026-08-06T19:01:21.726843Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:01:21.726843Z digest=sha256:f57e3a6befd9d993ee9abaed2ccd1dd53820683bdee0fa93942ff5c80c58b9ff

Observation 1d0f0085-efd4-44d5-b24d-d72c2af15f32 · inbound

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models cites this paper.

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models PLOT: Prompt Learning with Optimal Transport for Vision-Language Models

Reference 21

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no resolver link, observed 2026-08-04T11:02:19.589586Z

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source=pdf_text observed=2026-08-04T11:02:19.589586Z digest=sha256:a48c67d90f595efd2968a4fe0cc2e92517da3aef813c291012c38a9acb402330

Observation befefbba-feaa-40af-b3ff-fa119be304a5 · inbound

Exploring Cross-Modal Flows for Few-Shot Learning cites this paper.

Exploring Cross-Modal Flows for Few-Shot Learning PLOT: Prompt Learning with Optimal Transport for Vision-Language Models

Reference 3

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verified exact
arxiv_id, observed 2026-05-18T06:20:58.970331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-18T06:16:12.608513Z digest=sha256:4f1b91ffc8dfc9c8f36a87c732d49dfac91d33f4787f3cab46e0179c2875d038

Observation 0b82552c-e8f2-4de2-9051-46d4f7afd296 · inbound

MP-ISMoE: Mixed-Precision Interactive Side Mixture-of-Experts for Efficient Transfer Learning cites this paper.

MP-ISMoE: Mixed-Precision Interactive Side Mixture-of-Experts for Efficient Transfer Learning PLOT: Prompt Learning with Optimal Transport for Vision-Language Models

Reference 129

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arxiv_id, observed 2026-05-11T07:01:09.542826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-10T17:19:59.247074Z digest=sha256:3bf057d6d20324d6d26466a6fa03c68b14169810adbed052b1a02ced1ac3d6df

Observation 940c1a76-6c80-400d-8c59-03f88d7b7ef6 · inbound

Plug-and-play Class-aware Knowledge Injection for Prompt Learning with Visual-Language Model cites this paper.

Plug-and-play Class-aware Knowledge Injection for Prompt Learning with Visual-Language Model PLOT: Prompt Learning with Optimal Transport for Vision-Language Models

Reference 17

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metadata mismatch
arxiv_id, observed 2026-05-11T16:36:09.381798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-09T15:52:06.698536Z digest=sha256:8d3d07f0f0fd7b4ef2972f6e24614729edb27050776c0dcfe80d1c7ec6c5b0a1

Observation e08dec3e-c261-4363-a83a-e26a9215d908 · inbound

Unlocking Patch-Level Features for CLIP-Based Class-Incremental Learning cites this paper.

Unlocking Patch-Level Features for CLIP-Based Class-Incremental Learning PLOT: Prompt Learning with Optimal Transport for Vision-Language Models

Reference 6

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verified exact
arxiv_id, observed 2026-05-14T19:12:50.607661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-14T19:11:52.801747Z digest=sha256:95e1f96c14fb3f66360a3ed3f80085fe748783475864dfa3ed2e9b10efc62caa

Observation 43ae5e61-1e93-4353-97ab-fe504e1775d7 · inbound

TAME: Test-Time Adversarial Prompt Tuning via Mixture-of-Experts for Vision-Language Models cites this paper.

TAME: Test-Time Adversarial Prompt Tuning via Mixture-of-Experts for Vision-Language Models PLOT: Prompt Learning with Optimal Transport for Vision-Language Models

Reference 49

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verified exact
arxiv_id, observed 2026-05-20T14:23:21.490431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-20T14:20:49.278545Z digest=sha256:3337bc880a23c89a4df600824816fee9190b1036c28e55b114a929e28a45b285

Observation 0b088b84-bf5c-4c70-ae46-0fa9972ea5d4 · inbound

SLAP: Selective Local Vision-Language Alignment for Fish Re-Identification via Partial Optimal Transport cites this paper.

SLAP: Selective Local Vision-Language Alignment for Fish Re-Identification via Partial Optimal Transport PLOT: Prompt Learning with Optimal Transport for Vision-Language Models

Reference 4

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no resolver link, observed 2026-08-14T04:27:41.711128Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:27:41.711128Z digest=sha256:c069760544cd4cb9ab77b1ad26e67e682cbcc07dc07cb6131f20485880181df2