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Paper Citation Record · LEDGER

Stealix: Model Stealing via Prompt Evolution

As of 19 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2506.05867.

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

pith.paper-citation-record.v1
2506.05867 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:17:52.375631Z

measured 40 of 40 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 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

40 of 40 outbound references displayed

  • verified exact1
  • verified fuzzy28
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 65767bce-2522-4ee6-baa1-f83852f5f9c8 · outbound

This paper cites write newline.

Stealix: Model Stealing via Prompt Evolution write newline

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T10:17:52.269462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:17:52.269462Z digest=sha256:663f3a379c5a0b48a8ecc1e3412a1d624a25910feaffb7a69621171bc9abdfd9

Observation a3352cad-cb91-4d36-8ffb-2a11fa285563 · outbound

This paper cites Learning multiple layers of features from tiny images.

Stealix: Model Stealing via Prompt Evolution Learning multiple layers of features from tiny images

Reference 2

Resolution
verified fuzzy
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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.

source=arxiv_source observed=2026-08-07T10:17:52.273123Z digest=sha256:47c3f2d878b07b83f51d0beb47a4dd9d1f03d6db310ff38884cc48411fd586a1

Observation ca4d6fe1-091a-43b0-92ef-6513950ab037 · outbound

This paper cites and Caruana, R.

Stealix: Model Stealing via Prompt Evolution and Caruana, R

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:17:52.691739Z

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.

source=arxiv_source observed=2026-08-07T10:17:52.275830Z digest=sha256:0bc440909773a59a0b0793c9ea93d6c9ab08644ca3e10a426e71220942ab7884

Observation 79ea31ee-28a9-49c1-b75d-8aa67e2740fa · outbound

This paper cites S., and Shah, M.

Stealix: Model Stealing via Prompt Evolution S., and Shah, M

Reference 4

Resolution
verified fuzzy
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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.

source=arxiv_source observed=2026-08-07T10:17:52.278641Z digest=sha256:834a123d331bcceabd3203168652ca24754ee41fc7263643bf5a4297f845f38c

Observation 404fce44-8580-48cb-9a1f-fa82f0ed3d0e · outbound

This paper cites D., Steinke, T., Hayase, J., Cooper, A.

Stealix: Model Stealing via Prompt Evolution D., Steinke, T., Hayase, J., Cooper, A

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:17:52.675768Z

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.

source=arxiv_source observed=2026-08-07T10:17:52.281668Z digest=sha256:4be77fc402a0f0f2be230930175da053674cf26f9a2a06917f4f50c7227b06ff

Observation e2879a84-505a-4ebd-91dc-b29acafcc43c · outbound

This paper cites Reproducible scaling laws for contrastive language-image learning.

Stealix: Model Stealing via Prompt Evolution Reproducible scaling laws for contrastive language-image learning

Reference 6

Resolution
verified fuzzy
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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.

source=arxiv_source observed=2026-08-07T10:17:52.284516Z digest=sha256:f75dd87f0554f3240346fa39d988a32c7fadd3a115004f79c4c43f703bd72886

Observation c9b3c0b2-6d62-439e-967c-26c4dc6bf4c2 · outbound

This paper cites an unresolved cited work.

Stealix: Model Stealing via Prompt Evolution Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:17:52.658279Z

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.

source=arxiv_source observed=2026-08-07T10:17:52.287235Z digest=sha256:0127dc848b8dbbc0e909f4797da75af727231ced97d60c9ece2e5c5ac0b32881

Observation 01de1bf5-2b2c-4404-8f49-45f482b895b1 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Stealix: Model Stealing via Prompt Evolution An image is worth 16x16 words: Transformers for image recognition at scale

Reference 8

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no resolver link, observed 2026-08-07T10:17:52.289911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:17:52.289911Z digest=sha256:632043e39c99e5654211c6d843820ce4f0d5fa89474b11f5e2b99d9ad83bf187

Observation d54164c9-636e-400e-bd26-c0bf917b4c73 · outbound

This paper cites an unresolved cited work.

Stealix: Model Stealing via Prompt Evolution Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:17:52.645746Z

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.

source=arxiv_source observed=2026-08-07T10:17:52.293030Z digest=sha256:75ba2eac7956719a19486eed87fc976462135ea1531153761eda929b6d63293f

Observation eff50830-4242-41bf-851b-fbef3aa3683c · outbound

This paper cites Data-Free Adversarial Distillation.

Stealix: Model Stealing via Prompt Evolution Data-Free Adversarial Distillation

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T10:17:52.295327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:17:52.295327Z digest=sha256:b1f2e48f231605ffea4feedc2c03f6bd9f704268f99b11d5706f5dcaf7348d2f

Observation 298ecfff-e755-4e12-a46e-25f122db208f · outbound

This paper cites H., Chechik, G., and Cohen-Or, D.

Stealix: Model Stealing via Prompt Evolution H., Chechik, G., and Cohen-Or, D

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:17:52.637682Z

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.

source=arxiv_source observed=2026-08-07T10:17:52.298142Z digest=sha256:a7adfd6db5698751af3b15d811764f420d977c5bc083752942a224ce34e0301e

Observation ca11b5fe-0ab7-4033-930f-dc07c4d5a0fd · outbound

This paper cites Is synthetic data from generative models ready for image recognition? In International Conference on Learning Representations (ICLR), 2023.

Stealix: Model Stealing via Prompt Evolution Is synthetic data from generative models ready for image recognition? In International Conference on Learning Representations (ICLR), 2023

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:17:52.629945Z

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.

source=arxiv_source observed=2026-08-07T10:17:52.300944Z digest=sha256:ea724159903e4ba3281b851ddd08fb0c7e75aafe863a5ef9231faf01e82e8665

Observation 554d941c-8bed-4d7c-92e5-c854beea67cb · outbound

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

Stealix: Model Stealing via Prompt Evolution Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T10:17:52.303338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:17:52.303338Z digest=sha256:656b923bd4318227282472ff4c1cf159bd18e5c5aa602a3cdc483ec26ad4242b

Observation 315b3058-616f-4ea6-aee3-18fd71bce316 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Stealix: Model Stealing via Prompt Evolution Distilling the Knowledge in a Neural Network

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T10:17:52.305894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:17:52.305894Z digest=sha256:e740c59060544536c9b8db1f835568478284be1b3d17bf54996ab4893bcd9f5d

Observation c4ef7c35-fb81-4a87-814d-9ff08d0d3a33 · outbound

This paper cites Towards Few-Call Model Stealing via Active Self-Paced Knowledge Distillation and Diffusion-Based Image Generation.

Stealix: Model Stealing via Prompt Evolution Towards Few-Call Model Stealing via Active Self-Paced Knowledge Distillation and Diffusion-Based Image Generation

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:17:52.418125Z

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.

source=arxiv_source observed=2026-08-07T10:17:52.308823Z digest=sha256:fdb32327f020ef09d898620704934764228806aab48090c610ffd0fcd9179e8a

Observation 2774991d-2bfb-497b-a89f-692cbe4e4f98 · outbound

This paper cites S., Parikh, A.

Stealix: Model Stealing via Prompt Evolution S., Parikh, A

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:17:52.617109Z

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.

source=arxiv_source observed=2026-08-07T10:17:52.311574Z digest=sha256:fe2757d6c5b848822322144f1bbf0f2cdd7195e57ca89dd80126a582d3924c79

Observation 33a52715-39bf-45ab-b0ac-e09f2f53a7a7 · outbound

This paper cites Improved precision and recall metric for assessing generative models.

Stealix: Model Stealing via Prompt Evolution Improved precision and recall metric for assessing generative models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T10:17:52.313685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:17:52.313685Z digest=sha256:fe13680f7d7ae23a9460b03b8b2ead4ef152d6139d83cb5a3c58d2230e483a6c

Observation a1602ed6-ee94-4c1c-b235-f1abe84c9fbd · outbound

This paper cites Defending against machine learning model stealing attacks using deceptive perturbations.

Stealix: Model Stealing via Prompt Evolution Defending against machine learning model stealing attacks using deceptive perturbations

Reference 18

Resolution
verified fuzzy
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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.

source=arxiv_source observed=2026-08-07T10:17:52.316434Z digest=sha256:fccaa1ead69bfb8835b12b64706bd226e96c1a0178b943a7bc7d31d824d39c3c

Observation 66a0e630-8eb8-4f02-8eab-30395d871ccb · outbound

This paper cites Not-safe-for-work dataset.

Stealix: Model Stealing via Prompt Evolution Not-safe-for-work dataset

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:17:52.596045Z

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.

source=arxiv_source observed=2026-08-07T10:17:52.318725Z digest=sha256:f92b7ff432cbb66d580eb4715ddb9673fba455d783c80258d5562d06e913ea04

Observation aa8371b3-332d-44da-9c86-a2073dd3e2a8 · outbound

This paper cites G., Fenu, S., and Starner, T.

Stealix: Model Stealing via Prompt Evolution G., Fenu, S., and Starner, T

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:17:52.588328Z

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.

source=arxiv_source observed=2026-08-07T10:17:52.325764Z digest=sha256:7b2566a582319b8c482d6c025f9a384c3139ebbdcaf5d19dc39efe8e3b1c9c42

Observation 4b31d9e4-c976-4ab3-b261-8b0da53708e6 · outbound

This paper cites How to steer your adversary: Targeted and efficient model stealing defenses with gradient redirection.

Stealix: Model Stealing via Prompt Evolution How to steer your adversary: Targeted and efficient model stealing defenses with gradient redirection

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:17:52.580503Z

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.

source=arxiv_source observed=2026-08-07T10:17:52.328197Z digest=sha256:a3adb57dff22f74041568a389db7f3277f1bfe6a9511f01e06544dd9507404d7

Observation e24cda83-f2fa-4ff8-a104-0b8002209b21 · outbound

This paper cites and Storkey, A.

Stealix: Model Stealing via Prompt Evolution and Storkey, A

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:17:52.573252Z

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.

source=arxiv_source observed=2026-08-07T10:17:52.330804Z digest=sha256:fa83bb3a510618271a0330888d1cd4e2fae7224ffc34da5a3863b2d95693839c

Observation e550151b-8d4b-4af9-ac03-53c456615405 · outbound

This paper cites I know what you trained last summer: A survey on stealing machine learning models and defences.

Stealix: Model Stealing via Prompt Evolution I know what you trained last summer: A survey on stealing machine learning models and defences

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:17:52.565606Z

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.

source=arxiv_source observed=2026-08-07T10:17:52.333271Z digest=sha256:ad4f9f8f4c8e58362983aeb599fb0c2cb03cff416ea8950d29ce03a98163f0ab

Observation ce0dff98-9030-4df3-b8e2-8d8795630f1d · outbound

This paper cites Knockoff nets: Stealing functionality of black-box models.

Stealix: Model Stealing via Prompt Evolution Knockoff nets: Stealing functionality of black-box models

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:17:52.558133Z

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.

source=arxiv_source observed=2026-08-07T10:17:52.335783Z digest=sha256:06aa618f0e7c4496ab8c4f8cbc4978a415258ab5168a9c4e0df06047f05de7c8

Observation 0feb3b10-535a-41e0-a5a9-47836e6fcc03 · outbound

This paper cites Moment matching for multi-source domain adaptation.

Stealix: Model Stealing via Prompt Evolution Moment matching for multi-source domain adaptation

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:17:52.550454Z

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.

source=arxiv_source observed=2026-08-07T10:17:52.338049Z digest=sha256:b31393ad884c5847ad10d042fd321754cfe669176c0d3a459a78837596b6570f

Observation f5c61e3d-1c20-49ec-9b59-2980ed458afa · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Stealix: Model Stealing via Prompt Evolution High-resolution image synthesis with latent diffusion models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T10:17:52.340504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:17:52.340504Z digest=sha256:a28663402663c74b802a3ac2932136f522631f9e21cbf2482e10d89972898906

Observation ef3660f9-43ff-49b5-a23a-21802d3efd42 · outbound

This paper cites an unresolved cited work.

Stealix: Model Stealing via Prompt Evolution Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:17:52.537814Z

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.

source=arxiv_source observed=2026-08-07T10:17:52.342961Z digest=sha256:ac048c25e318c41349ba63c90ba56cb7ed48a31920e6deaca6fda36729d9d7b9

Observation ab0b77f0-5735-4cd9-beee-3541cbbc495f · outbound

This paper cites Latent Code Augmentation Based on Stable Diffusion for Data-free Substitute Attacks.

Stealix: Model Stealing via Prompt Evolution Latent Code Augmentation Based on Stable Diffusion for Data-free Substitute Attacks

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T10:17:52.345745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:17:52.345745Z digest=sha256:c73d8c27d544073b173eabaa1dad76c684cfb46359cabff294c88a21fc7322dc

Observation ec80da1d-a561-4f0e-a82d-dc8eeaff5a0b · outbound

This paper cites Medical multimodal model stealing attacks via adversarial domain alignment.

Stealix: Model Stealing via Prompt Evolution Medical multimodal model stealing attacks via adversarial domain alignment

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:17:52.530747Z

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.

source=arxiv_source observed=2026-08-07T10:17:52.348361Z digest=sha256:c18c20804b192ec5fab62ab217f19cb9c32d3a6e629690f5b3867b85604f3654

Observation 20d70eb4-a174-469e-8560-a0fe176c3534 · outbound

This paper cites Not-safe-for-work image detection.

Stealix: Model Stealing via Prompt Evolution Not-safe-for-work image detection

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:17:52.523180Z

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.

source=arxiv_source observed=2026-08-07T10:17:52.350978Z digest=sha256:e1e381006d9bc0c2cb2a01ab943fe3c9e0e53ff687de9369068906f3dc9e8fc7

Observation 1857ba9d-a4b5-485c-a4b6-56faf261984b · outbound

This paper cites Effective data augmentation with diffusion models.

Stealix: Model Stealing via Prompt Evolution Effective data augmentation with diffusion models

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:17:52.514960Z

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.

source=arxiv_source observed=2026-08-07T10:17:52.353477Z digest=sha256:466da31f36d908b82a7545e7354b1b0ddff59101f84da8d8dcd8d182e6056667

Observation b2f22048-1e46-4a6e-9afd-5102e80462e7 · outbound

This paper cites K., and Ristenpart, T.

Stealix: Model Stealing via Prompt Evolution K., and Ristenpart, T

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:17:52.506632Z

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.

source=arxiv_source observed=2026-08-07T10:17:52.355734Z digest=sha256:76d269204616bbe2f3eecac4bb173c495fa4c8466e69143aef8c47c8bc4b7375

Observation ead408df-a715-49a0-a6ff-fd383985270b · outbound

This paper cites J., and Papernot, N.

Stealix: Model Stealing via Prompt Evolution J., and Papernot, N

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:17:52.499322Z

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.

source=arxiv_source observed=2026-08-07T10:17:52.357967Z digest=sha256:f7106c6e74303b1499bad5d823a07bb52b0ab36aacf3e37cad15d31c94383e98

Observation d0b19736-606c-4c9b-8cb8-db0188cd8923 · outbound

This paper cites S., Linmans, J., Winkens, J., Cohen, T., and Welling, M.

Stealix: Model Stealing via Prompt Evolution S., Linmans, J., Winkens, J., Cohen, T., and Welling, M

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:17:52.492187Z

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.

source=arxiv_source observed=2026-08-07T10:17:52.360305Z digest=sha256:21071ef964ef8d7f22f0afb800f74759c80d7263fe928ee82f75b5bf25983ee6

Observation 7dd2663b-56b2-4221-9550-32de68ceeb78 · outbound

This paper cites and Gong, N.

Stealix: Model Stealing via Prompt Evolution and Gong, N

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:17:52.484282Z

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.

source=arxiv_source observed=2026-08-07T10:17:52.362643Z digest=sha256:b3fce2d8887177ae1e645cc622bdd0cb53d437054b1d5453f474a04241ae7a68

Observation 4542a3a9-e405-4849-a393-4a6f239761d0 · outbound

This paper cites Hard prompts made easy: Gradient-based discrete optimization for prompt tuning and discovery.

Stealix: Model Stealing via Prompt Evolution Hard prompts made easy: Gradient-based discrete optimization for prompt tuning and discovery

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:17:52.476512Z

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.

source=arxiv_source observed=2026-08-07T10:17:52.365195Z digest=sha256:f8e77bc05fc36d83f72dfe34bfa6faaeef1a11b7c0e3b53172e99c10472703b6

Observation 5e98fe4e-d778-4243-98c6-b36888c5c637 · outbound

This paper cites J., Jordan, M., and Duchi, J.

Stealix: Model Stealing via Prompt Evolution J., Jordan, M., and Duchi, J

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:17:52.468922Z

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.

source=arxiv_source observed=2026-08-07T10:17:52.367533Z digest=sha256:e839a9ae9812a59d1a8f0d6f20aa0825eb368aebfbb6aff68e7b4bab1976965a

Observation 482a8a03-e050-4459-b58b-986f23653945 · outbound

This paper cites Medmnist v2-a large-scale lightweight benchmark for 2d and 3d biomedical image classification.

Stealix: Model Stealing via Prompt Evolution Medmnist v2-a large-scale lightweight benchmark for 2d and 3d biomedical image classification

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:17:52.461084Z

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.

source=arxiv_source observed=2026-08-07T10:17:52.369879Z digest=sha256:ef7b3234cff8164f65e822e7bf24608c3f3a8e3d6efecc94f64cd4cc49a18209

Observation 67efd9de-4e1f-4125-a184-b37f224bc04b · outbound

This paper cites Genetic algorithms in search, optimization and machine learning.

Stealix: Model Stealing via Prompt Evolution Genetic algorithms in search, optimization and machine learning

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:17:52.453171Z

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.

source=arxiv_source observed=2026-08-07T10:17:52.372709Z digest=sha256:b39aa7c9672e54fdfea8ef9485ad568c85ef0abfc737ad3a61e937bee807d5c9

Observation d136a642-4f25-4a98-afa2-d66bb4703382 · outbound

This paper cites Stealthy imitation: Reward-guided environment-free policy stealing.

Stealix: Model Stealing via Prompt Evolution Stealthy imitation: Reward-guided environment-free policy stealing

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:17:52.444303Z

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.

source=arxiv_source observed=2026-08-07T10:17:52.375631Z digest=sha256:62c64238b228614a3511bc04ff97ebb1274e98d795f729b42c755a6da29c08ea

Pith citing papers

No inbound Pith citation observations are available.