Paper Citation Record · LEDGER

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning

As of 19 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 2 inbound Pith citation observations for arXiv:2505.05180.

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

pith.paper-citation-record.v1
2505.05180 v1

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:17:34.227767Z

measured 62 of 62 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:14:13.678118Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T17:11:10.383488Z

Reference resolution

60 of 60 outbound references displayed

verified exact0
verified fuzzy51
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ded358d7-21f6-40d5-981b-4733eae78033 · outbound

This paper cites write newline.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T23:17:34.011508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation daaa1870-b329-41b3-bdbd-e2d55858211b · outbound

This paper cites an unresolved cited work.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:17:34.918267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation eea6cf87-97cc-49ac-8ba8-542cac26c4d8 · outbound

This paper cites and Tzimiropoulos, G.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning and Tzimiropoulos, G

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:17:34.907617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 22f9801c-9fe7-49b6-9a9e-2532c6fe2dc6 · outbound

This paper cites Describing textures in the wild.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning Describing textures in the wild

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:17:34.896242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f014b592-963d-439a-904c-afd9aa1d7750 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning Imagenet: A large-scale hierarchical image database

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:17:34.884310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 91e13586-483b-4c4f-b9b0-1a025e6aec40 · outbound

This paper cites An introduction to ROC analysis.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning An introduction to ROC analysis

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:17:34.872890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation da42ae53-0e5d-43c1-b506-b79c179b6b15 · outbound

This paper cites Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:17:34.859876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 37882286-1113-4318-997c-26282bf2cd53 · outbound

This paper cites Shrec'22 track: Open-set 3d object retrieval.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning Shrec'22 track: Open-set 3d object retrieval

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:17:34.847681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0ffcc87b-c00e-4df9-aeb2-b8a0029aadb8 · outbound

This paper cites and Zhou, Z.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning and Zhou, Z

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:17:34.835301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 71e17c0b-a1fa-4901-ba26-9d0806b69247 · outbound

This paper cites Aucseg: Auc-oriented pixel-level long-tail semantic segmentation.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning Aucseg: Auc-oriented pixel-level long-tail semantic segmentation

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:17:34.825504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0d3177a0-86dd-4859-8d8f-176dbd6bcf2f · outbound

This paper cites Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:17:34.814609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 390466a8-f0ef-4597-a07b-d383efa10f93 · outbound

This paper cites and Gimpel, K.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning and Gimpel, K

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:17:34.802648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c4891a59-39d9-4ace-82b2-1f35f15369a9 · outbound

This paper cites The many faces of robustness: A critical analysis of out-of-distribution generalization.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning The many faces of robustness: A critical analysis of out-of-distribution generalization

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:17:34.792108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3cda8b56-ab1d-4116-9df8-dce61b5ce15c · outbound

This paper cites Natural adversarial examples.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning Natural adversarial examples

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:17:34.780385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6e1c5cb0-d939-40d8-ab73-cf00b10bc225 · outbound

This paper cites Reconboost: Boosting can achieve modality reconcilement.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning Reconboost: Boosting can achieve modality reconcilement

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:17:34.768583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c3e3c3f5-9111-4424-a18a-d512b2c28e1e · outbound

This paper cites U., Rasheed, H.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning U., Rasheed, H

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:17:34.757750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2dd14bfd-6403-4e35-9951-e46f2cd68231 · outbound

This paper cites U., Wasim, S.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning U., Wasim, S

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:17:34.746773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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

This paper cites Learning to Prompt with Text Only Supervision for Vision-Language Models.

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 f03fac1c-2c13-4337-afc3-51162a395c92 · outbound

This paper cites and Ramanan, D.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning and Ramanan, D

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:17:34.733464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d2067048-9b6e-4781-8a63-4c3f94800c19 · outbound

This paper cites 3d object representations for fine-grained categorization.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning 3d object representations for fine-grained categorization

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:17:34.722246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation eec0c71f-ccd2-4e4b-b790-2065936318c3 · outbound

This paper cites Gallop: Learning global and local prompts for vision-language models.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning Gallop: Learning global and local prompts for vision-language models

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:17:34.709934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a291974d-7526-42b3-b9e1-713f596584c3 · outbound

This paper cites The power of scale for parameter-efficient prompt tuning.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning The power of scale for parameter-efficient prompt tuning

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:17:34.697932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dc7c1aee-6c9f-40f3-b1e6-e7d94e2345a3 · outbound

This paper cites Promptkd: Unsupervised prompt distillation for vision-language models.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning Promptkd: Unsupervised prompt distillation for vision-language models

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:17:34.687620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 004d2685-443a-42c0-bab8-8dc5b03e3df3 · outbound

This paper cites Stochastic auc maximization with deep neural networks.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning Stochastic auc maximization with deep neural networks

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:17:34.676134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c67860c3-3280-48c3-91be-18055e8d3845 · outbound

This paper cites Fine-Grained Visual Classification of Aircraft.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning Fine-Grained Visual Classification of Aircraft

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T23:17:34.104127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94b7912c-9479-4373-bc9b-1beb279d441f · outbound

This paper cites an unresolved cited work.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:17:34.662838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 86887b83-c7cb-4459-91fb-c29ff608ff53 · outbound

This paper cites Locoop: Few-shot out-of-distribution detection via prompt learning.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning Locoop: Few-shot out-of-distribution detection via prompt learning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:17:34.650360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4d8da4f1-c3fb-492e-86fc-5ddf334018ef · outbound

This paper cites Out-of-distribution detection with negative prompts.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning Out-of-distribution detection with negative prompts

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:17:34.638410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d4c3bbb5-495b-4db8-af1a-7e2cc47df761 · outbound

This paper cites and Zisserman, A.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning and Zisserman, A

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:17:34.626354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4820882f-2cac-43a6-b99c-07f359a52088 · outbound

This paper cites M., Vedaldi, A., Zisserman, A., and Jawahar, C.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning M., Vedaldi, A., Zisserman, A., and Jawahar, C

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:17:34.614081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 03056a05-4523-4ca5-9964-47004b1c065c · outbound

This paper cites Automatic differentiation in pytorch.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning Automatic differentiation in pytorch

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T23:17:34.126284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c4fca4a-ce36-4745-85f4-f4c203effe3f · outbound

This paper cites W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., Krueger, G., and Sutskever, I.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., Krueger, G., and Sutskever, I

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:17:34.595867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a82546c9-ceb8-4d66-97ea-f2e6f195457e · outbound

This paper cites Do I mage N et classifiers generalize to I mage N et? In International Conference on Machine Learning, pp.\ 5389--5400, 2019.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning Do I mage N et classifiers generalize to I mage N et? In International Conference on Machine Learning, pp.\ 5389--5400, 2019

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:17:34.583148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6d3ba705-ed39-4e7d-b9dd-a119de86bcfe · outbound

This paper cites and Etemad, A.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning and Etemad, A

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:17:34.571617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9f185ebf-c1f0-47c6-a66e-b2eb4957637a · outbound

This paper cites an unresolved cited work.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:17:34.561189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ec48a617-16a2-496e-9812-d29e3525fa57 · outbound

This paper cites UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-15T23:17:34.144735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d751042-7d4c-4ef4-b5b5-cee167ec90bc · outbound

This paper cites Kill two birds with one stone: Rethinking data augmentation for deep long-tailed learning.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning Kill two birds with one stone: Rethinking data augmentation for deep long-tailed learning

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:17:34.550906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 033ec934-459d-4033-b6b6-27569ae2f733 · outbound

This paper cites C., and Xing, E.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning C., and Xing, E

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:17:34.539513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 65cf3f54-8fa7-42d1-afa7-b0bac89e32ca · outbound

This paper cites Llm-autoda: Large language model-driven automatic data augmentation for long-tailed problems.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning Llm-autoda: Large language model-driven automatic data augmentation for long-tailed problems

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:17:34.528626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c2e1f5e5-3324-4874-9b4a-b4a8eddf9cdc · outbound

This paper cites Openauc: Towards auc-oriented open-set recognition.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning Openauc: Towards auc-oriented open-set recognition

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:17:34.518180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 89d6c5bc-1458-4058-91c4-b5c592d5226b · outbound

This paper cites Cascade prompt learning for vision-language model adaptation.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning Cascade prompt learning for vision-language model adaptation

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:17:34.507135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e966c540-4c42-4fe0-8c20-6d9267505935 · outbound

This paper cites Zero-shot learning — the good, the bad and the ugly.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning Zero-shot learning — the good, the bad and the ugly

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:17:34.495795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b8c20d40-6a2f-40f5-9d5e-13e521c8aac7 · outbound

This paper cites A., Oliva, A., and Torralba, A.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning A., Oliva, A., and Torralba, A

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:17:34.484641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5f5e587f-fab9-4cb8-aa44-747fa50a9755 · outbound

This paper cites and Ying, Y.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning and Ying, Y

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:17:34.473908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a7f56374-f354-46ec-9158-f4f9122ce87b · outbound

This paper cites Learning with multiclass AUC: theory and algorithms, 2022.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning Learning with multiclass AUC: theory and algorithms, 2022

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:17:34.461999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 255fb5e1-ea9e-4be9-81bc-670e1867cffa · outbound

This paper cites Optimizing two-way partial AUC with an end-to-end framework.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning Optimizing two-way partial AUC with an end-to-end framework

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:17:34.450028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 40bda5bf-5418-49dc-a0f1-6c846172c3c2 · outbound

This paper cites Harnessing hierarchical label distribution variations in test agnostic long-tail recognition.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning Harnessing hierarchical label distribution variations in test agnostic long-tail recognition

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:17:34.440307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3943a415-4ed9-4b4a-8801-46ef1ae5a4ca · outbound

This paper cites Visual-language prompt tuning with knowledge-guided context optimization.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning Visual-language prompt tuning with knowledge-guided context optimization

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:17:34.429143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 15ec1a37-6d2a-4a7b-a652-7a2e699f66f0 · outbound

This paper cites Tcp: Textual-based class-aware prompt tuning for visual-language model.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning Tcp: Textual-based class-aware prompt tuning for visual-language model

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:17:34.416656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1f41cb34-f335-429b-b527-13dc221d0b19 · outbound

This paper cites Compositional training for end-to-end deep AUC maximization.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning Compositional training for end-to-end deep AUC maximization

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:17:34.403934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 162b53f2-2ccb-42ee-a81a-74ac78c66898 · outbound

This paper cites Counterfactual zero-shot and open-set visual recognition.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning Counterfactual zero-shot and open-set visual recognition

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:17:34.393083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation debaec28-68e4-4f76-87ca-f6ec7ed2d1e4 · outbound

This paper cites Local-Prompt: Extensible Local Prompts for Few-Shot Out-of-Distribution Detection.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning Local-Prompt: Extensible Local Prompts for Few-Shot Out-of-Distribution Detection

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-15T23:17:34.199553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2aa6eda4-6558-4537-9f25-2cf495f9021a · outbound

This paper cites T., and Song, J.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning T., and Song, J

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:17:34.379869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bc3ece8c-7fce-4f90-b257-f985cf450982 · outbound

This paper cites Prompt, generate, then cache: Cascade of foundation models makes strong few-shot learners.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning Prompt, generate, then cache: Cascade of foundation models makes strong few-shot learners

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:17:34.368399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c9aab9d4-5389-4d70-bcae-df55a0287558 · outbound

This paper cites Two fists, one heart: Multi-objective optimization based strategy fusion for long-tailed learning.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning Two fists, one heart: Multi-objective optimization based strategy fusion for long-tailed learning

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:17:34.356558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 89afa806-1156-44c6-8a02-078792b52355 · outbound

This paper cites Breaking long-tailed learning bottlenecks: A controllable paradigm with hypernetwork-generated diverse experts.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning Breaking long-tailed learning bottlenecks: A controllable paradigm with hypernetwork-generated diverse experts

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:17:34.343589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 54bb1eb4-1837-46e4-aac8-3ccd3e1c29b2 · outbound

This paper cites C., and Liu, Z.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning C., and Liu, Z

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:17:34.330925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 49946655-a1de-4f2e-afc0-b7e1ea8bef26 · outbound

This paper cites C., and Liu, Z.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning C., and Liu, Z

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:17:34.319563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5323b0a9-ae8c-4a46-b1dc-2d7ad42a8b20 · outbound

This paper cites Decoop: Robust prompt tuning with out-of-distribution detection.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning Decoop: Robust prompt tuning with out-of-distribution detection

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:17:34.306790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1178c5f8-03e6-4fd2-a9be-6dfe7e2d9e4b · outbound

This paper cites Prompt-aligned gradient for prompt tuning.

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning Prompt-aligned gradient for prompt tuning

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:17:34.294899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation ff1058bd-8dfa-4be5-acdc-304eb984508d · inbound

SpecPL: Disentangling Spectral Granularity for Prompt Learning cites this paper.

SpecPL: Disentangling Spectral Granularity for Prompt Learning OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:11:10.386147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 02c287f4-8791-40ca-bf43-11e6e6cde60d · inbound

UniTraffic-Agent: Unified Traffic Video Reasoning for AI City Challenge 2026 Track 3 with Two Out-of-Domain Evaluations cites this paper.

UniTraffic-Agent: Unified Traffic Video Reasoning for AI City Challenge 2026 Track 3 with Two Out-of-Domain Evaluations OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T18:14:13.678118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.