Paper Citation Record · LEDGER

Extend Adversarial Policy Against Neural Machine Translation via Unknown Token

As of 19 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2501.12183.

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

pith.paper-citation-record.v1
2501.12183 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:31:37.154751Z

measured 29 of 29 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

29 of 29 outbound references displayed

verified exact1
verified fuzzy9
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6e0e4e79-7dfd-4b8c-add8-f6b54d8479dd · outbound

This paper cites Neural Machine Translation by Jointly Learning to Align and Translate.

Extend Adversarial Policy Against Neural Machine Translation via Unknown Token Neural Machine Translation by Jointly Learning to Align and Translate

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T17:31:37.058480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c69a1242-b263-4c76-840c-282258d3c8a7 · outbound

This paper cites Synthetic and Natural Noise Both Break Neural Machine Translation.

Extend Adversarial Policy Against Neural Machine Translation via Unknown Token Synthetic and Natural Noise Both Break Neural Machine Translation

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T17:31:37.063015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc273f9f-2ab4-41f3-86fc-50d9263b7d9c · outbound

This paper cites Exploring the Robustness of NMT Systems to Nonsensical Inputs.

Extend Adversarial Policy Against Neural Machine Translation via Unknown Token Exploring the Robustness of NMT Systems to Nonsensical Inputs

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-08-10T17:31:37.336678Z

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 81358f2a-0c07-4f96-975d-38ccd320806f · outbound

This paper cites In: Proc.

Extend Adversarial Policy Against Neural Machine Translation via Unknown Token In: Proc

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:31:37.477007Z

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 d7189dee-fe32-4e99-9e16-d929fd88a580 · outbound

This paper cites Robust Neural Machine Translation with Doubly Adversarial Inputs.

Extend Adversarial Policy Against Neural Machine Translation via Unknown Token Robust Neural Machine Translation with Doubly Adversarial Inputs

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T17:31:37.074558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20543ffd-5f85-41b3-bc42-f12475933f63 · outbound

This paper cites On Adversarial Examples for Character-Level Neural Machine Translation.

Extend Adversarial Policy Against Neural Machine Translation via Unknown Token On Adversarial Examples for Character-Level Neural Machine Translation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T17:31:37.078183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 024dbd55-65a7-44ae-9246-1e9e70ba6fb0 · outbound

This paper cites HotFlip: White-Box Adversarial Examples for Text Classification.

Extend Adversarial Policy Against Neural Machine Translation via Unknown Token HotFlip: White-Box Adversarial Examples for Text Classification

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T17:31:37.082506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54bd2d74-5f69-4fb9-8b5a-1bc4a76e2920 · outbound

This paper cites BAE: BERT-based Adversarial Examples for Text Classification.

Extend Adversarial Policy Against Neural Machine Translation via Unknown Token BAE: BERT-based Adversarial Examples for Text Classification

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T17:31:37.086117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27666a65-5c56-4908-b691-c1f607e9d034 · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

Extend Adversarial Policy Against Neural Machine Translation via Unknown Token Explaining and Harnessing Adversarial Examples

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T17:31:37.089755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bff7cc4a-8806-4e80-a5b6-73edb12668af · outbound

This paper cites Security and Communication Networks (2022).

Extend Adversarial Policy Against Neural Machine Translation via Unknown Token Security and Communication Networks (2022)

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:31:37.466964Z

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 278710c0-5b3e-4e6a-9e72-c10d67effab9 · outbound

This paper cites In: Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019) (2019).

Extend Adversarial Policy Against Neural Machine Translation via Unknown Token In: Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019) (2019)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:31:37.456234Z

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 515d7e7e-4c0c-468a-96d3-f4708fb56208 · outbound

This paper cites A Sweet Rabbit Hole by DARCY: Using Honeypots to Detect Universal Trigger's Adversarial Attacks.

Extend Adversarial Policy Against Neural Machine Translation via Unknown Token A Sweet Rabbit Hole by DARCY: Using Honeypots to Detect Universal Trigger's Adversarial Attacks

Reference 12

Resolution: metadata mismatch; local_arxiv, observed 2026-08-10T17:31:37.276315Z

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 f3098a19-52be-408a-ade9-1ba9fc2022c4 · outbound

This paper cites TACL (2020).

Extend Adversarial Policy Against Neural Machine Translation via Unknown Token TACL (2020)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:31:37.445395Z

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 1841c6aa-76bb-41d5-9f87-f4af2045fba9 · outbound

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

Extend Adversarial Policy Against Neural Machine Translation via Unknown Token On Evaluation of Adversarial Perturbations for Sequence-to-Sequence Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T17:31:37.107587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d347bb6b-89d4-469a-a485-11885582fc0d · outbound

This paper cites Reevaluating Adversarial Examples in Natural Language.

Extend Adversarial Policy Against Neural Machine Translation via Unknown Token Reevaluating Adversarial Examples in Natural Language

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T17:31:37.111430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66df3359-1d6f-4680-9a3f-20275016c07b · outbound

This paper cites an unresolved cited work.

Extend Adversarial Policy Against Neural Machine Translation via Unknown Token Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:31:37.433730Z

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 adeca81d-3895-4535-81ef-589bf9a63e15 · outbound

This paper cites A Call for Clarity in Reporting BLEU Scores.

Extend Adversarial Policy Against Neural Machine Translation via Unknown Token A Call for Clarity in Reporting BLEU Scores

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T17:31:37.118540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9972bb51-c72c-4f12-8f58-6541a23a11ea · outbound

This paper cites In: Proceedings of EMNLP (2021).

Extend Adversarial Policy Against Neural Machine Translation via Unknown Token In: Proceedings of EMNLP (2021)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:31:37.423276Z

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 81c65b14-51fa-4211-8dff-178633e4342d · outbound

This paper cites In: Proc.

Extend Adversarial Policy Against Neural Machine Translation via Unknown Token In: Proc

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:31:37.414273Z

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 54c465de-aab2-4b70-b5d4-fa715f5d0e3e · outbound

This paper cites Towards Crafting Text Adversarial Samples.

Extend Adversarial Policy Against Neural Machine Translation via Unknown Token Towards Crafting Text Adversarial Samples

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T17:31:37.127296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 273f5609-8d96-4918-af7a-d418458afd28 · outbound

This paper cites In: Proceedings of ACL (2020).

Extend Adversarial Policy Against Neural Machine Translation via Unknown Token In: Proceedings of ACL (2020)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:31:37.405431Z

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 f9eda602-3f11-41af-bef9-34699ae44b4d · outbound

This paper cites arXiv (2015).

Extend Adversarial Policy Against Neural Machine Translation via Unknown Token arXiv (2015)

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:31:37.395556Z

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 16bac25c-ddad-4918-b5f1-28068186ecbb · outbound

This paper cites On Adversarial Examples for Text Classification by Perturbing Latent Representations.

Extend Adversarial Policy Against Neural Machine Translation via Unknown Token On Adversarial Examples for Text Classification by Perturbing Latent Representations

Reference 23

Resolution: metadata mismatch; local_arxiv, observed 2026-08-10T17:31:37.225277Z

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 c841cfd9-7e7c-47e3-bf75-631c65a14a69 · outbound

This paper cites MIT press (2018).

Extend Adversarial Policy Against Neural Machine Translation via Unknown Token MIT press (2018)

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T17:31:37.138637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d8800c6-1093-4cb1-afb6-93783e837d7d · outbound

This paper cites an unresolved cited work.

Extend Adversarial Policy Against Neural Machine Translation via Unknown Token Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:31:37.378273Z

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 2caea910-33e6-4439-9ca8-6c2e06bca90f · outbound

This paper cites SemAttack: Natural Textual Attacks via Different Semantic Spaces.

Extend Adversarial Policy Against Neural Machine Translation via Unknown Token SemAttack: Natural Textual Attacks via Different Semantic Spaces

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T17:31:37.144504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfa447b5-0678-4be8-8efc-bf6409438525 · outbound

This paper cites Beyond Shared Vocabulary: Increasing Representational Word Similarities across Languages for Multilingual Machine Translation.

Extend Adversarial Policy Against Neural Machine Translation via Unknown Token Beyond Shared Vocabulary: Increasing Representational Word Similarities across Languages for Multilingual Machine Translation

Reference 27

Resolution: metadata mismatch; local_arxiv, observed 2026-08-10T17:31:37.200477Z

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 613dd728-211c-46a2-9815-322a14cf3120 · outbound

This paper cites Journal of Electronics and In- formation Technology (2023).

Extend Adversarial Policy Against Neural Machine Translation via Unknown Token Journal of Electronics and In- formation Technology (2023)

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:31:37.367007Z

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 d46ba390-826a-4409-acba-e14bf3ffa72f · outbound

This paper cites In: Proc.

Extend Adversarial Policy Against Neural Machine Translation via Unknown Token In: Proc

Reference 29

Resolution: verified exact; doi, observed 2026-08-10T17:31:37.184361Z

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

No inbound Pith citation observations are available.