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Paper Citation Record · LEDGER

Gradient-based Adversarial Attacks against Text Transformers

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2104.13733.

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

pith.paper-citation-record.v1
2104.13733 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:16:18.660915Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation bad03ab0-6152-43de-8221-550d0843abaa · inbound

Scaling Laws for Reward Model Overoptimization cites this paper.

Scaling Laws for Reward Model Overoptimization Gradient-based Adversarial Attacks against Text Transformers

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T09:04:53.270517Z

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=2026-05-19T09:04:53.129737Z digest=sha256:aa878089f518a9dfca62fd988d47ede82b2e6e5747681a819bb4c838ccf09f87

Observation d85c7d76-6cfc-4435-86f8-85b94843a510 · inbound

Universal and Transferable Adversarial Attacks on Aligned Language Models cites this paper.

Universal and Transferable Adversarial Attacks on Aligned Language Models Gradient-based Adversarial Attacks against Text Transformers

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-24T07:44:08.560184Z

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=2026-05-24T07:42:09.112946Z digest=sha256:64570f316736bdfff19022add96591d5873399ffed39cb24075d75d5a688a6d0

Observation 4ac26eb5-2910-475b-844e-733d075d7bef · inbound

Baseline Defenses for Adversarial Attacks Against Aligned Language Models cites this paper.

Baseline Defenses for Adversarial Attacks Against Aligned Language Models Gradient-based Adversarial Attacks against Text Transformers

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-13T23:24:39.992181Z

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=arxiv_source observed=2026-05-13T23:24:39.835347Z digest=sha256:8a6cc20c5ab8762a4b87a65ade2a44d488e533be29e18439e1a356c8185db1c9

Observation d2b8bfd1-d10e-4bca-8a67-e090c66de9f7 · inbound

Winter Soldier: Backdooring Language Models at Pre-Training with Indirect Data Poisoning cites this paper.

Winter Soldier: Backdooring Language Models at Pre-Training with Indirect Data Poisoning Gradient-based Adversarial Attacks against Text Transformers

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T00:16:18.660915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:16:18.660915Z digest=sha256:acb6cb3ba80d846922ecbf2a525a7d94f9619e0075d9f46bb91239b3b3077cc6

Observation 1d96cd72-a7d0-43b6-a1d7-c47a8e75fc9f · inbound

VERA: Variational Inference Framework for Jailbreaking Large Language Models cites this paper.

VERA: Variational Inference Framework for Jailbreaking Large Language Models Gradient-based Adversarial Attacks against Text Transformers

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T22:07:02.869101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:07:02.869101Z digest=sha256:923efa061d77b36d49ed54ecf258a08800112cba9c00b165f3a9abe319881504

Observation d23a7a2f-79cd-4aba-8f04-59a1578f4c25 · inbound

Influence-Guided Concolic Testing of Transformer Robustness cites this paper.

Influence-Guided Concolic Testing of Transformer Robustness Gradient-based Adversarial Attacks against Text Transformers

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-04T14:42:50.258022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:42:50.258022Z digest=sha256:d328f5b429f291da978020c3b26960089336363ab1ffa813af5936ff758d6f73

Observation aaf46548-b3da-44c2-8f82-73c3623764b2 · inbound

BarrierSteer: LLM Safety via Learning Barrier Steering cites this paper.

BarrierSteer: LLM Safety via Learning Barrier Steering Gradient-based Adversarial Attacks against Text Transformers

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-25T07:05:26.722368Z

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=2026-05-25T07:02:03.058731Z digest=sha256:47b5a86c90d54f60c7bc3aab08eb291807d133150070357745ab56fb5ef12ef7

Observation c5739eba-eca1-4994-a4c1-de74c09b536d · inbound

PIArena: A Platform for Prompt Injection Evaluation cites this paper.

PIArena: A Platform for Prompt Injection Evaluation Gradient-based Adversarial Attacks against Text Transformers

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:25:59.636183Z

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=2026-05-10T17:11:52.675226Z digest=sha256:9e602a300b4e063ea2f4ee5032ebd0e3d0a39a5dfb109b3c8bccd87360f71fe4

Observation 44d36458-51b2-4cc5-8314-7bf1b7530e88 · inbound

Guaranteed Jailbreaking Defense via Disrupt-and-Rectify Smoothing cites this paper.

Guaranteed Jailbreaking Defense via Disrupt-and-Rectify Smoothing Gradient-based Adversarial Attacks against Text Transformers

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-12T05:51:27.579695Z

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=arxiv_source observed=2026-05-12T04:50:08.866969Z digest=sha256:170a2e2ec45ff9ca4b1997f84572d40b8894bb26c7981952a232d57d77826fff

Observation 88472547-8525-41b5-ad10-086ac0ab779f · inbound

AI Researchers Must Help Lead Arms Control to Mitigate Military AI Risks cites this paper.

AI Researchers Must Help Lead Arms Control to Mitigate Military AI Risks Gradient-based Adversarial Attacks against Text Transformers

Reference 75

Resolution
verified exact
arxiv_id, observed 2026-07-03T13:08:08.789895Z

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=arxiv_source observed=2026-06-27T08:26:57.379418Z digest=sha256:ebd20da7e8d4b199e51b2a777116e4e5dbb0de5345e42088c2032a3163413c29

Observation 10cb1471-2f2c-4042-90df-d48c5dd63fa4 · inbound

Greedy Coordinate Diffusion: Effective and Semantically Coherent Adversarial Attacks via Diffusion Guidance cites this paper.

Greedy Coordinate Diffusion: Effective and Semantically Coherent Adversarial Attacks via Diffusion Guidance Gradient-based Adversarial Attacks against Text Transformers

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-07-03T17:08:43.462274Z

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=arxiv_source observed=2026-06-27T04:35:35.594085Z digest=sha256:9d6cb2b2da538f6fd9e13a94410802dc746471c96394c4a0e9393b62036dcf4c

Observation 0de3bdb9-e4a4-445e-8035-2237617a0b52 · inbound

Vulnerability of Natural Language Classifiers to Evolutionary Generated Adversarial Text cites this paper.

Vulnerability of Natural Language Classifiers to Evolutionary Generated Adversarial Text Gradient-based Adversarial Attacks against Text Transformers

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-07-04T13:59:52.547353Z

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=2026-06-26T04:41:23.586921Z digest=sha256:7e57bf860d484f0a804bc38beb8619230eab9644533391ce7607be7fc8b51b97