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Paper Citation Record · LEDGER

Multi-task Adversarial Attacks against Black-box Model with Few-shot Queries

As of 10 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2508.10039.

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

pith.paper-citation-record.v1
2508.10039 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:17:34.540307Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

13 of 13 outbound references displayed

  • verified exact0
  • verified fuzzy5
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7fcb4847-622b-4660-8caf-d3424e3e9756 · outbound

This paper cites an unresolved cited work.

Multi-task Adversarial Attacks against Black-box Model with Few-shot Queries Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-05T22:17:34.692570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 51173ed5-a8c7-4628-b139-dcd4fd6264f5 · outbound

This paper cites an unresolved cited work.

Multi-task Adversarial Attacks against Black-box Model with Few-shot Queries Unresolved cited work

Reference 2

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unresolved
raw_fallback, observed 2026-08-05T22:17:34.681722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:17:34.532745Z digest=sha256:0a1d7481814ab15c3fc0a075b17dbfa60839bf5dabf7781c2e38c83fc463d445

Observation ce68229b-16ad-4332-b94f-29e07acee64f · outbound

This paper cites (11) Therefore, the probability of at least one success is: P (Au) = 1 − P (Au).

Multi-task Adversarial Attacks against Black-box Model with Few-shot Queries (11) Therefore, the probability of at least one success is: P (Au) = 1 − P (Au)

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:17:34.667916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:17:34.536169Z digest=sha256:320730bbcc647118f0c04c5d509165bd289c0afa734a60ef8a0e0a7240c34fd6

Observation c84394ab-ef4d-402f-bb63-a5bad2bf5d32 · outbound

This paper cites (14) Therefore, the probability of at least one success with u + 1 attack methods is: P (Au+1) = 1 − P (Au+1).

Multi-task Adversarial Attacks against Black-box Model with Few-shot Queries (14) Therefore, the probability of at least one success with u + 1 attack methods is: P (Au+1) = 1 − P (Au+1)

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:17:34.655181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:17:34.540307Z digest=sha256:d32209df40d06ed0d9e2273c85bb42ba3ffbb13665a5c187a546c6a82292beca

Observation da566b24-2554-4fd6-b2a9-70c4eb6bcd93 · outbound

This paper cites Cambodian Journal of Educational Re- search, 4(1):35–56.

Multi-task Adversarial Attacks against Black-box Model with Few-shot Queries Cambodian Journal of Educational Re- search, 4(1):35–56

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:17:34.716198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:17:34.502543Z digest=sha256:a45218237dd8833de4939fff1eec4381f274a983dbf158cd4527ea0ff207f1c9

Observation 4f42dccd-0a73-4bbb-9ded-6bdd09c91234 · outbound

This paper cites mT5: A massively multilingual pre-trained text-to-text transformer.

Multi-task Adversarial Attacks against Black-box Model with Few-shot Queries mT5: A massively multilingual pre-trained text-to-text transformer

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-05T22:17:34.518223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:17:34.518223Z digest=sha256:5c76ce36d53124d5b1106b35267c42885e563ec14470ad7fc69526f6f78ddead

Observation b4924e65-bba1-4c9f-bf10-b683aaccbeba · outbound

This paper cites Adversarial Attacks on Hidden Tasks in Multi-Task Learning.

Multi-task Adversarial Attacks against Black-box Model with Few-shot Queries Adversarial Attacks on Hidden Tasks in Multi-Task Learning

Reference 1996

Resolution
metadata mismatch
local_arxiv, observed 2026-08-05T22:17:34.572561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:17:34.523163Z digest=sha256:aa4c27d8e4b7e66fff083c3424a3f61200910b4cb472539712ec8477629f703b

Observation b861d24d-cb7f-4a4e-9d82-fe08f727bf51 · outbound

This paper cites In CCS, pages 506–519.

Multi-task Adversarial Attacks against Black-box Model with Few-shot Queries In CCS, pages 506–519

Reference 2017

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:17:34.704253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:17:34.507479Z digest=sha256:996de56a19eac14cacfcbf194e18673256a08a55941ab4aa693b77285ce37550

Observation 781e8d42-fc75-467c-aa0b-946659aac2db · outbound

This paper cites K Krishna and M Narasimha Murty.

Multi-task Adversarial Attacks against Black-box Model with Few-shot Queries K Krishna and M Narasimha Murty

Reference 2018

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:17:34.727768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:17:34.493771Z digest=sha256:48a8754e7dadd2729d1bc311f47aed43f7e054175b7b275610eff17dd33c035c

Observation adf30482-37f7-4b60-a2ee-5077d8fcc117 · outbound

This paper cites TransFool: An Adversarial Attack against Neural Machine Translation Models.

Multi-task Adversarial Attacks against Black-box Model with Few-shot Queries TransFool: An Adversarial Attack against Neural Machine Translation Models

Reference 2019

Resolution
metadata mismatch
local_arxiv, observed 2026-08-05T22:17:34.603352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:17:34.512599Z digest=sha256:49450852a79767aabfd05cb6f2d9a86a52a61b00247a0e72bb277f65206eddfa

Observation f070afd0-a91c-4a2e-bff7-16c1316aeb3a · outbound

This paper cites A Multi-modal and Multi-task Learning Method for Action Unit and Expression Recognition.

Multi-task Adversarial Attacks against Black-box Model with Few-shot Queries A Multi-modal and Multi-task Learning Method for Action Unit and Expression Recognition

Reference 2021

Resolution
metadata mismatch
local_arxiv, observed 2026-08-05T22:17:34.634359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:17:34.489612Z digest=sha256:456e65f6196526eae20e8d39d16f2f0cd0937a92995f9b961bab6df61f96d1e7

Observation dec4d6e4-552d-4275-b57b-8448daf69cbb · outbound

This paper cites On Evaluation of Adversarial Perturbations for Sequence-to-Sequence Models.

Multi-task Adversarial Attacks against Black-box Model with Few-shot Queries On Evaluation of Adversarial Perturbations for Sequence-to-Sequence Models

Reference 2022

Resolution
metadata mismatch
local_arxiv, observed 2026-08-05T22:17:34.619647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:17:34.497816Z digest=sha256:c1f671fd99287908df2faa676a1c9552bbc07bbd5b5126975224ee1688c61687

Observation c3c80742-b9da-496a-9cd6-39a90b802b13 · outbound

This paper cites Unsupervised Cross-lingual Representation Learning at Scale.

Multi-task Adversarial Attacks against Black-box Model with Few-shot Queries Unsupervised Cross-lingual Representation Learning at Scale

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-05T22:17:34.485159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.