Paper Citation Record · LEDGER

Trojan Detection Through Pattern Recognition for Large Language Models

As of 11 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2501.11621.

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

pith.paper-citation-record.v1
2501.11621 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:07:46.895088Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

23 of 23 outbound references displayed

verified exact1
verified fuzzy4
unresolved18
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation be8ffae4-e6c5-4110-a4b7-d453df8df0f4 · outbound

This paper cites In: 2017 ieee symposium on security and privacy (sp), pp.

Trojan Detection Through Pattern Recognition for Large Language Models In: 2017 ieee symposium on security and privacy (sp), pp

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:07:47.553079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4f08735b-9e12-4dfe-b6ae-62400c22b4ad · outbound

This paper cites In: 2018 IEEE security and privacy workshops (SPW), pp.

Trojan Detection Through Pattern Recognition for Large Language Models In: 2018 IEEE security and privacy workshops (SPW), pp

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:07:47.537916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a007d62d-2b9d-44b9-81f3-ff8ef669345f · outbound

This paper cites Deep reinforcement learning from human preferences.

Trojan Detection Through Pattern Recognition for Large Language Models Deep reinforcement learning from human preferences

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T18:07:46.801277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5daa6229-2f8b-49c6-b92f-5b1bf404ecd9 · outbound

This paper cites In: Proceedings of the First Workshop on Neural Machine Translation.

Trojan Detection Through Pattern Recognition for Large Language Models In: Proceedings of the First Workshop on Neural Machine Translation

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T18:07:46.806725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a48861e3-38af-4701-99f2-bc6ad706a53b · outbound

This paper cites Attacking Large Language Models with Projected Gradient Descent.

Trojan Detection Through Pattern Recognition for Large Language Models Attacking Large Language Models with Projected Gradient Descent

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T18:07:46.811659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 624cb64c-776c-4962-b845-3e027ba9ab51 · outbound

This paper cites Sequence Transduction with Recurrent Neural Networks.

Trojan Detection Through Pattern Recognition for Large Language Models Sequence Transduction with Recurrent Neural Networks

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T18:07:46.817229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d713d456-61ad-4ac1-9022-500f149fb3e9 · outbound

This paper cites BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain.

Trojan Detection Through Pattern Recognition for Large Language Models BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T18:07:46.822619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cbeee96-672b-4249-8329-db96609caa1a · outbound

This paper cites Gradient-based Adversarial Attacks against Text Transformers.

Trojan Detection Through Pattern Recognition for Large Language Models Gradient-based Adversarial Attacks against Text Transformers

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T18:07:46.827206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation feeb780a-3221-403d-b20d-bc36eafa6431 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Trojan Detection Through Pattern Recognition for Large Language Models LoRA: Low-Rank Adaptation of Large Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T18:07:46.831858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 507d3c68-0251-47be-8ec1-2ce580d6107e · outbound

This paper cites Categorical Reparameterization with Gumbel-Softmax.

Trojan Detection Through Pattern Recognition for Large Language Models Categorical Reparameterization with Gumbel-Softmax

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T18:07:46.836914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1354517-560e-4b00-afff-8034e4c016c0 · outbound

This paper cites an unresolved cited work.

Trojan Detection Through Pattern Recognition for Large Language Models Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-10T18:07:47.523841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5dd5c06e-712f-403c-8464-7768d06a6874 · outbound

This paper cites Open Sesame! Universal Black Box Jailbreaking of Large Language Models.

Trojan Detection Through Pattern Recognition for Large Language Models Open Sesame! Universal Black Box Jailbreaking of Large Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T18:07:46.845694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 143066e8-16f9-47cc-85da-ab600ed8deb4 · outbound

This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.

Trojan Detection Through Pattern Recognition for Large Language Models The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T18:07:46.850340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66d6ebe1-3385-44a4-9f1b-3a9c87c8a5d9 · outbound

This paper cites URL https://arxiv.org/abs/2406.05948.

Trojan Detection Through Pattern Recognition for Large Language Models URL https://arxiv.org/abs/2406.05948

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T18:07:46.854366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a187f013-30ae-4a65-8070-0330737d147d · outbound

This paper cites URL https://doi.org/10.18434/mds2-3235.

Trojan Detection Through Pattern Recognition for Large Language Models URL https://doi.org/10.18434/mds2-3235

Reference 15

Resolution: verified exact; doi, observed 2026-08-10T18:07:46.932224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5d977478-e046-4fa8-9630-654b80f23756 · outbound

This paper cites In: NeurIPS Competition Track (2023).

Trojan Detection Through Pattern Recognition for Large Language Models In: NeurIPS Competition Track (2023)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:07:47.505564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 89b69084-8e4d-48ce-bc27-6eebd3ba2af0 · outbound

This paper cites an unresolved cited work.

Trojan Detection Through Pattern Recognition for Large Language Models Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T18:07:46.869254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28dd7dbd-83a9-489b-a243-3eca7fc8469c · outbound

This paper cites Competition Report: Finding Universal Jailbreak Backdoors in Aligned LLMs.

Trojan Detection Through Pattern Recognition for Large Language Models Competition Report: Finding Universal Jailbreak Backdoors in Aligned LLMs

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T18:07:46.873362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8904d5fa-aaf9-4f38-b061-701e550acba6 · outbound

This paper cites Universal Jailbreak Backdoors from Poisoned Human Feedback.

Trojan Detection Through Pattern Recognition for Large Language Models Universal Jailbreak Backdoors from Poisoned Human Feedback

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T18:07:46.877650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f29e3ee1-30b0-4ebf-9449-8f9dfee230ec · outbound

This paper cites Adversarial Attacks and Defenses in Large Language Models: Old and New Threats.

Trojan Detection Through Pattern Recognition for Large Language Models Adversarial Attacks and Defenses in Large Language Models: Old and New Threats

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T18:07:46.881723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d69e231-f200-45b5-8e16-085288c046d0 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Trojan Detection Through Pattern Recognition for Large Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T18:07:46.885909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 574ffe1d-a5e0-4661-b186-b37fefa82e86 · outbound

This paper cites Advances in Neural Information Processing Systems 36 (2024).

Trojan Detection Through Pattern Recognition for Large Language Models Advances in Neural Information Processing Systems 36 (2024)

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:07:47.490631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 318caf45-21f1-40b5-b0b9-ef2219c34541 · outbound

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

Trojan Detection Through Pattern Recognition for Large Language Models Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T18:07:46.895088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.