Paper Citation Record · LEDGER

Gradient-based Adversarial Attacks against Text Transformers

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 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 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T00:50:00.603037Z

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

Observation 50b85dd9-9475-4c0b-8448-3438ad2efc9a · inbound

A Survey on Backdoor Threats in Large Language Models (LLMs): Attacks, Defenses, and Evaluations cites this paper.

A Survey on Backdoor Threats in Large Language Models (LLMs): Attacks, Defenses, and Evaluations Gradient-based Adversarial Attacks against Text Transformers

Reference 158

Resolution: unresolved; no resolver link, observed 2026-08-09T00:50:00.603037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e6df700-2e4b-420b-9ba3-1f0f723e8b69 · inbound

Universal Adversarial Attack on Aligned Multimodal LLMs cites this paper.

Universal Adversarial Attack on Aligned Multimodal LLMs Gradient-based Adversarial Attacks against Text Transformers

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-08T11:17:01.588766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc9e9816-7330-44af-afd3-e6dc70848119 · inbound

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations cites this paper.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Gradient-based Adversarial Attacks against Text Transformers

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:40.241768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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.

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.

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.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.