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Paper Citation Record · LEDGER

Natural Adversarial Sentence Generation with Gradient-based Perturbation

As of 17 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 2026-08-17T06:30:58.91139+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=sha256:4082383342f68b14621aec9f9c786d232928a70ece46cbfe3083940fd0fa4c0b

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=sha256:5319c9a4c69b508b534b3b319d7206c3bb363518ced43e706f308a6785631ce3

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:d1f0ef6a20ea9d5b765b1b26e76fc068612392041aa5b1dd68b11e6541e6cfda

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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-14T04:47:02.071625Z digest=sha256:6ff0e0188d7073b765c5608ebc036898d4b4ed1b7fa9441f3e5316fd4ae2b843

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=sha256:51f4795d7e0d9100fa18c6fc8910bcaa98b06344cfe804f00a73db2135592509

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=sha256:6dbf91336e1a5f4f64a5d90f84a8f42aad2dada75267ff0b5e10be123654c9ad

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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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:e0a946527ad12767272b6c02d3483b3fa4958047c3ec0f01dfb039029145056d

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=sha256:17fb69a82cff3ed8e24cc5b3b006314bacc609b20797bace38982bd3246c6879

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=sha256:5d0500c6a2a89764bd01d549980f430b81f88ecfa30a1c29317dc660a71d7695

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:b2c2bbd91ff2163ef19cb82b0d24ea9d7e36f550b0028152e483f7cbeeab4bef

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=sha256:9a231301bbf25a92659210ec2b1436a30bb7640eb9235c9ea89f838f633b96bd

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-14T04:47:02.110779Z digest=sha256:73379af630549afba5610c0cfb116bee64ba2e7342397635dfd76c29bfda171c

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-14T04:47:02.115334Z digest=sha256:7840a67096fa034c2b40f0c723c8dcca31572ba473378d87e60da30c466b87dd

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-14T04:47:02.120133Z digest=sha256:44bf28b8ccbeda2cc24f67ddb3d53ac458ae746aff934771fd6cde1ea4cb2275

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-14T04:47:02.124661Z digest=sha256:452a684026972c9a68de816bd8d5fc1934b0179d3180b9e5c81123f6e321efde

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=sha256:84e092a62966cb13b3bb8469bc21b18cfa3f5decccec08facc86426e720f7f47

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-14T04:47:02.134105Z digest=sha256:3881b9f64d84ff72eab16163f10532cb102d0f316648001f3d82eb25917fcdff

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=sha256:0944ae5dccf889b6c2b3a36920656294a886d760960aefd5456a7a76537eb02e

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=sha256:0649a7b60f22ed58fd0431026daa2c5161f63c312094b9a034821b22e4bc3a29

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-14T04:47:02.148651Z digest=sha256:fe71b2d05763ff61aec0310fb7ce0a8d991893f5e45046a603b957b7394eb717

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-14T04:47:02.153605Z digest=sha256:71c26032629346bf89dc228871c9bbb2f1ff3be2317b1fb94378f942e16289c9

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-14T04:47:02.158374Z digest=sha256:53b44831e8d8106bf66c9fb6ddbf8223b35daa1b048fbff12e9cc0c6c1ff09fe

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=sha256:3a10bdfe807d4ff9a1cfd5e08a2f23c58221fdc22371b80a8b3cbe08a28dfaf3

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=sha256:9c3d22fe367f7b1589a9c2478ea49e8ab310c9bb5ef87328ca9aa0297cc777b3

Pith citing papers

No inbound Pith citation observations are available.