Pith. sign in

Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 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 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:20:01.695389Z

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

  • 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 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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T02:21:09.704462Z digest=sha256:34c58adcddb6a29b14a546da2e0ded19f813f26d48fdbe8a64af3970f9c06fe0

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:20:01.695389Z digest=sha256:efb0bd369610038bd4302b8c285a7552cc11cda54366c62db144f4daca57f20d

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:59:32.858957Z digest=sha256:6b8d9597a0ef0961785980503f016632aab2ebf8aa2c70babb119d3ce9b94c7b

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:39:31.311960Z digest=sha256:11bce1b3f511f5f9dd1abd0c36e12aa5f64f33acc494eda8dc907c9614ad3abf

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:52:05.432881Z digest=sha256:f374d076b708c017406c18f500071e7f3ccf7adcd2a7f1a87f3264052cc6f3a3

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:01:21.726843Z digest=sha256:9280dee7efd40cfa4576503b4a3c939de70f233ce9f6ee1c01121eecd44344f4

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T11:02:19.589586Z digest=sha256:a43d47ae32ab41ea2c64db6f4b033fa78b9a6e30ae334c18c563042f3a1e1eee

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T06:16:12.608513Z digest=sha256:77d0d77d8ba4e668fa6338938a823989a5677deb888b8c1ed9337ff5af7b165e

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

Resolution
metadata mismatch
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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-10T17:19:59.247074Z digest=sha256:6c6eee8bf51e56033f1babcd2d37457076d3db3b45bd564bc6a1aa0120fe7675

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-09T15:52:06.698536Z digest=sha256:e910396ea13e144c095ababc0f7167d8fb67476dbf40a05baf4d50eec9c0fce4

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-14T19:11:52.801747Z digest=sha256:8adb9a82e962e9cf067e9211bf339ae4a21488d554b998fc55f74674e2cb85cf

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T14:20:49.278545Z digest=sha256:c6a8747c70f90b3702cc74221503574930360ba874255396bad4a35b441dd847