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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T22:17:34.536169Z digest=sha256:27e6f45d3107ff5238f032de6f67f010c3b510acaa365e2ab3c71e2b1fadc449

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T22:17:34.540307Z digest=sha256:a79cd3248d05a6afc5d61c7f3375c1cbe0fcfbb3da981cea5d0f767d4a847da2

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T22:17:34.502543Z digest=sha256:35357b64bb50469fe47472e9662c2e760beade1b38b21040a81a8a515d30d5ae

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:e9d3a88935389608f86bcfd0f35d8226302eba6e6192997049d362aabfd61733

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T22:17:34.523163Z digest=sha256:5c90d07361793531909cd3741ade077e704a6744a268fcd5d5fcc254df89b31e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T22:17:34.507479Z digest=sha256:a409f14a465042f42b4eacd28ac5d6ecb879a4f0633169c923003912154cefa3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T22:17:34.493771Z digest=sha256:106d44d0785725c5c14c26baf3598f0af37f63a703b9e97c23ff03ea4e3e3132

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T22:17:34.512599Z digest=sha256:099fd34503c759b96cb3680b762dd7bf01936f11df74c550cbedfe0f33d74860

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T22:17:34.489612Z digest=sha256:8c2fc51e5fba5ca379b11c016224c7d536e9d38fa2dc84622b0fdee57d2efc25

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T22:17:34.497816Z digest=sha256:45d845b02ca694079da3a0fbe3a5f9569e5c301a9ac67445638d30464793197e

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.

source=pdf_text observed=2026-08-05T22:17:34.485159Z digest=sha256:ec98a56fbfbdced5cdfafcce16f8a4d5edea57accec2c0b9ed2ba58f393de064

Pith citing papers

No inbound Pith citation observations are available.