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Paper Citation Record · LEDGER

Natural Adversarial Sentence Generation with Gradient-based Perturbation

As of 21 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:1909.04495.

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

pith.paper-citation-record.v1
1909.04495 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:47:02.168122Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

28 of 28 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved26
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b143e3e5-c62c-47dd-9c96-38c794d4c11a · outbound

This paper cites URL: " 'urlintro :=.

Natural Adversarial Sentence Generation with Gradient-based Perturbation URL: " 'urlintro :=

Reference 1

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no resolver link, observed 2026-08-14T04:47:02.034999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2cda44db-bfe7-4b04-876e-50436e21ce40 · outbound

This paper cites write newline.

Natural Adversarial Sentence Generation with Gradient-based Perturbation write newline

Reference 2

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no resolver link, observed 2026-08-14T04:47:02.040834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:47:02.040834Z digest=sha256:b12457cf14a6f75e6cce5e9a13e6b6fed83a2385e858fc1409ee667c9a1c73a2

Observation 8138dec6-65e4-4206-aa89-9e703f9401dc · outbound

This paper cites an unresolved cited work.

Natural Adversarial Sentence Generation with Gradient-based Perturbation Unresolved cited work

Reference 3

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unresolved
no resolver link, observed 2026-08-14T04:47:02.045867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:47:02.045867Z digest=sha256:375699fae7e4a95ce12aa0457072a069046f9c2b6bff24fd2252355bd1af5705

Observation 1450c41d-427b-4f3d-84bd-ff90252d0827 · outbound

This paper cites Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples.

Natural Adversarial Sentence Generation with Gradient-based Perturbation Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples

Reference 4

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no resolver link, observed 2026-08-14T04:47:02.051735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:47:02.051735Z digest=sha256:87384be38a2e3663d55cc56032154bb3a66262179e33ce05d79b66f0cde0abf2

Observation e2c82ef3-b766-46af-8a1e-4fe65440f523 · outbound

This paper cites an unresolved cited work.

Natural Adversarial Sentence Generation with Gradient-based Perturbation Unresolved cited work

Reference 5

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unresolved
raw_fallback, observed 2026-08-14T04:47:02.568868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 22e13000-2f5a-4ca9-95a9-7e616925baf1 · outbound

This paper cites an unresolved cited work.

Natural Adversarial Sentence Generation with Gradient-based Perturbation Unresolved cited work

Reference 6

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unresolved
raw_fallback, observed 2026-08-14T04:47:02.553974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation f8300b73-e7ba-4db0-bfef-fffdfd1cd392 · outbound

This paper cites an unresolved cited work.

Natural Adversarial Sentence Generation with Gradient-based Perturbation Unresolved cited work

Reference 7

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unresolved
raw_fallback, observed 2026-08-14T04:47:02.538214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation fae61d5d-ff17-4e35-af36-2f8ee57963b6 · outbound

This paper cites an unresolved cited work.

Natural Adversarial Sentence Generation with Gradient-based Perturbation Unresolved cited work

Reference 8

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unresolved
raw_fallback, observed 2026-08-14T04:47:02.522732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-14T04:47:02.071625Z digest=sha256:6af20005fb0cea7fa09a970ca6330ee6a859759faf52fa567df83f7a346231c5

Observation 78cf6076-1bde-4670-9512-fc1e1aa2c1e6 · outbound

This paper cites an unresolved cited work.

Natural Adversarial Sentence Generation with Gradient-based Perturbation Unresolved cited work

Reference 9

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unresolved
no resolver link, observed 2026-08-14T04:47:02.076529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:47:02.076529Z digest=sha256:3d12642203712d2853bd33ca990e3637a3bd66d402ebd569eb066d322dfda97a

Observation 1db15d77-eef7-4fd3-bfdb-444731e96ee4 · outbound

This paper cites GANS for Sequences of Discrete Elements with the Gumbel-softmax Distribution.

Natural Adversarial Sentence Generation with Gradient-based Perturbation GANS for Sequences of Discrete Elements with the Gumbel-softmax Distribution

Reference 10

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unresolved
no resolver link, observed 2026-08-14T04:47:02.080990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:47:02.080990Z digest=sha256:35724380c03e7176c732525f099480abb5a33abc9dfef8e2fd26395c4f5bb5cb

Observation e3cb2eb0-ccd2-4d60-bc5a-22a58879b0ab · outbound

This paper cites Understanding Neural Networks through Representation Erasure.

Natural Adversarial Sentence Generation with Gradient-based Perturbation Understanding Neural Networks through Representation Erasure

Reference 11

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unresolved
no resolver link, observed 2026-08-14T04:47:02.085938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:47:02.085938Z digest=sha256:9e6e187ebe51a31ca9b475ffcdf8c85b9983e7bb58d445f6c4cf1dbb79df16bd

Observation 984b8a58-bc87-47b4-83bf-1de62bcdeab0 · outbound

This paper cites Deep Text Classification Can be Fooled.

Natural Adversarial Sentence Generation with Gradient-based Perturbation Deep Text Classification Can be Fooled

Reference 12

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unresolved
no resolver link, observed 2026-08-14T04:47:02.091160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:47:02.091160Z digest=sha256:86e65ebd18b3adc05e0cde463355ce41da5d5a619964e194f34d16c51ed9ce7e

Observation 0869c86e-3c35-4c05-b160-cc2bde5a14a6 · outbound

This paper cites Towards Deep Learning Models Resistant to Adversarial Attacks.

Natural Adversarial Sentence Generation with Gradient-based Perturbation Towards Deep Learning Models Resistant to Adversarial Attacks

Reference 13

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unresolved
no resolver link, observed 2026-08-14T04:47:02.096319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:47:02.096319Z digest=sha256:f843838525b814eb897e25ae9c162bf3435027c737be3b9e6e2505e1497d9e46

Observation 599ae02d-d5f1-44e1-af41-ac96793dfdb4 · outbound

This paper cites an unresolved cited work.

Natural Adversarial Sentence Generation with Gradient-based Perturbation Unresolved cited work

Reference 14

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unresolved
no resolver link, observed 2026-08-14T04:47:02.101270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:47:02.101270Z digest=sha256:2909b41fb4b62f7c5cef7d30d8b131103a86d1ece6b5f75742beff490e2dea4f

Observation 7ff18708-2371-416f-99e3-1ca9f9cb1a31 · outbound

This paper cites Simple Black-Box Adversarial Perturbations for Deep Networks.

Natural Adversarial Sentence Generation with Gradient-based Perturbation Simple Black-Box Adversarial Perturbations for Deep Networks

Reference 15

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unresolved
no resolver link, observed 2026-08-14T04:47:02.105854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:47:02.105854Z digest=sha256:05a2c6539822695a5c055f43147d602a0ade406adc80f2333d53f5bc58f67a5b

Observation d2025b1d-5cfb-47b7-9d8c-3545d008dad7 · outbound

This paper cites an unresolved cited work.

Natural Adversarial Sentence Generation with Gradient-based Perturbation Unresolved cited work

Reference 16

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unresolved
raw_fallback, observed 2026-08-14T04:47:02.486352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-14T04:47:02.110779Z digest=sha256:116dd05f58ee0fcd19ad54b1ac26c61022fbfa65c9fe346e0826ba7dc429d0dc

Observation ee27dd47-cd5a-418a-baa5-659ec93e3fa6 · outbound

This paper cites Crafting Adversarial Input Sequences for Recurrent Neural Networks.

Natural Adversarial Sentence Generation with Gradient-based Perturbation Crafting Adversarial Input Sequences for Recurrent Neural Networks

Reference 17

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metadata mismatch
local_arxiv, observed 2026-08-14T04:47:02.285742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-14T04:47:02.115334Z digest=sha256:f171812d3f83f38b7861c04346c26ccfec355246eb098fd5cac00aefeff57b4e

Observation fbd31ba3-d182-419d-8059-57e41b97f4f0 · outbound

This paper cites an unresolved cited work.

Natural Adversarial Sentence Generation with Gradient-based Perturbation Unresolved cited work

Reference 18

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unresolved
raw_fallback, observed 2026-08-14T04:47:02.471889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-14T04:47:02.120133Z digest=sha256:ffd2f33d128bb4aa3ec437cafa1df299860599bd7fcd60d382949ae286adb23e

Observation 1e167359-040f-4bca-8f7c-cd9effc35993 · outbound

This paper cites an unresolved cited work.

Natural Adversarial Sentence Generation with Gradient-based Perturbation Unresolved cited work

Reference 19

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unresolved
raw_fallback, observed 2026-08-14T04:47:02.456665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-14T04:47:02.124661Z digest=sha256:644ae554fc3a380736dc96a120ae52dbf5e5b97e7b81fdf4947649fbbcb70c01

Observation 95a7c029-6309-4415-881f-88430ecd7c94 · outbound

This paper cites Towards Crafting Text Adversarial Samples.

Natural Adversarial Sentence Generation with Gradient-based Perturbation Towards Crafting Text Adversarial Samples

Reference 20

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unresolved
no resolver link, observed 2026-08-14T04:47:02.129440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:47:02.129440Z digest=sha256:bacc0018a0a31b6b9ca5b41cf9a151c9c815ba90582b3ebb1b9ee2d6e249d1ca

Observation 11946e4f-f0e9-4bad-b14e-cdaffb5c705d · outbound

This paper cites an unresolved cited work.

Natural Adversarial Sentence Generation with Gradient-based Perturbation Unresolved cited work

Reference 21

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unresolved
raw_fallback, observed 2026-08-14T04:47:02.441053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation a3a249e8-5976-4f3d-8e3b-6d4403649f52 · outbound

This paper cites an unresolved cited work.

Natural Adversarial Sentence Generation with Gradient-based Perturbation Unresolved cited work

Reference 22

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unresolved
no resolver link, observed 2026-08-14T04:47:02.138991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:47:02.138991Z digest=sha256:a54bea0567ebf5f3935bdaa008f8aebd0e26cb12be7d2bb4012e4077dfae3a88

Observation d3643a64-0c42-4ec4-b31c-52535eae8c69 · outbound

This paper cites Intriguing properties of neural networks.

Natural Adversarial Sentence Generation with Gradient-based Perturbation Intriguing properties of neural networks

Reference 23

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unresolved
no resolver link, observed 2026-08-14T04:47:02.143804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:47:02.143804Z digest=sha256:0467f5722392812242e8932d736c748a992c08612a99153c35ca1761ef2ae162

Observation a7d4ed9a-eb8f-4335-8f34-a3347973ceb6 · outbound

This paper cites Greedy Attack and Gumbel Attack: Generating Adversarial Examples for Discrete Data.

Natural Adversarial Sentence Generation with Gradient-based Perturbation Greedy Attack and Gumbel Attack: Generating Adversarial Examples for Discrete Data

Reference 24

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verified exact
local_arxiv, observed 2026-08-14T04:47:02.231154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-14T04:47:02.148651Z digest=sha256:3945f1a82d4f4d9003840a3234ff128800cee6ceb8b7b6c548c6451ed2770070

Observation 668b8d5d-40be-4895-8156-c55aef8c6bb8 · outbound

This paper cites an unresolved cited work.

Natural Adversarial Sentence Generation with Gradient-based Perturbation Unresolved cited work

Reference 25

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unresolved
raw_fallback, observed 2026-08-14T04:47:02.415856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-14T04:47:02.153605Z digest=sha256:6463f508ea9c802bbea88bd6c00ad4573a429922ce523fd8cd6ba34d659efd9b

Observation 740f1323-7096-4aa6-8bc6-699f513678a4 · outbound

This paper cites an unresolved cited work.

Natural Adversarial Sentence Generation with Gradient-based Perturbation Unresolved cited work

Reference 26

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unresolved
raw_fallback, observed 2026-08-14T04:47:02.401112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-14T04:47:02.158374Z digest=sha256:3b329c7aa50ac3f96465210ce40e3e33cf9e20b62125fe8b7f1c66e3516fef25

Observation a7ce31dc-2b47-4bb2-97bf-561f2ed5097b · outbound

This paper cites Adversarially Regularized Autoencoders.

Natural Adversarial Sentence Generation with Gradient-based Perturbation Adversarially Regularized Autoencoders

Reference 27

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unresolved
no resolver link, observed 2026-08-14T04:47:02.162832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:47:02.162832Z digest=sha256:ba2dce60c5107293f435fd0b22f22354f964099f17905ab4f8c29433feae1a96

Observation 274dcaef-55a6-4f5f-99dc-0f893957b836 · outbound

This paper cites an unresolved cited work.

Natural Adversarial Sentence Generation with Gradient-based Perturbation Unresolved cited work

Reference 28

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unresolved
no resolver link, observed 2026-08-14T04:47:02.168122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:47:02.168122Z digest=sha256:1120d76c34aa8982003542ada215978f3f8a91a498c840ae6ffba4128dbd5769

Pith citing papers

No inbound Pith citation observations are available.