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Paper Citation Record · LEDGER

On Evaluation of Adversarial Perturbations for Sequence-to-Sequence Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1903.06620.

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

pith.paper-citation-record.v1
1903.06620 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:17:34.497816Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T22:17:34.615334Z

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 dec4d6e4-552d-4275-b57b-8448daf69cbb · inbound

Multi-task Adversarial Attacks against Black-box Model with Few-shot Queries cites this paper.

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

source=pdf_text observed=2026-08-05T22:17:34.497816Z digest=sha256:361fb6c0a63d2febb3b5cf0251486427346e628f1b51bcb5e910115116933cb3

Observation e58d185b-2f6c-470a-88fd-a1f506d52481 · inbound

GoldenTransformer: A Modular Fault Injection Framework for Transformer Robustness Research cites this paper.

GoldenTransformer: A Modular Fault Injection Framework for Transformer Robustness Research On Evaluation of Adversarial Perturbations for Sequence-to-Sequence Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-04T17:38:24.722895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:38:24.722895Z digest=sha256:a512a2c60153dcd479f4390c29326b8ec9fd53172ba86c6c5640bd29b94f06d6