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Paper Citation Record · LEDGER

POT: Inducing Overthinking in LLMs via Black-Box Iterative Optimization

As of 17 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 6 inbound Pith citation observations for arXiv:2508.19277.

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

pith.paper-citation-record.v1
2508.19277 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:12:27.900103Z

measured 39 of 39 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T05:17:31.205567Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T21:27:24.558100Z

Reference resolution

33 of 33 outbound references displayed

  • verified exact0
  • verified fuzzy4
  • unresolved28
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation aee0ac5b-bbda-4536-bd81-f5e64d983de8 · outbound

This paper cites POSIX: A Prompt Sensitivity Index For Large Language Models.

POT: Inducing Overthinking in LLMs via Black-Box Iterative Optimization POSIX: A Prompt Sensitivity Index For Large Language Models

Reference 5

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:12:27.780750Z digest=sha256:2a7c9d6e44a88f727c9da9ba6956d0ee02d1b48611d60c1aa55534c06eaff031

Observation 1d84def8-7bc0-4753-a000-ceaed6b8c4be · outbound

This paper cites Evaluating Large Language Models Trained on Code.

POT: Inducing Overthinking in LLMs via Black-Box Iterative Optimization Evaluating Large Language Models Trained on Code

Reference 6

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source=pdf_text observed=2026-08-15T17:12:27.785358Z digest=sha256:d73a060113ba1f5988bca2e3109282fc650d6ff9e5854368aeb91c718f79e566

Observation 01f552bf-6a1f-4d78-8759-5e55702d7449 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

POT: Inducing Overthinking in LLMs via Black-Box Iterative Optimization Training Verifiers to Solve Math Word Problems

Reference 7

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T17:12:27.789728Z digest=sha256:34761480f2054447a2dff18501a759e91441c843b3ee969042fbdef112e97cdc

Observation 7122d108-8a99-4a80-8af3-ffb26ca07a7a · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

POT: Inducing Overthinking in LLMs via Black-Box Iterative Optimization Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 8

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T17:12:27.794352Z digest=sha256:33dd011b18f8048fe6a7e94b383db8c6fa48555d20cc7eba7384ffc20115d494

Observation 9299c801-e292-4690-939b-631fe6dbb1fd · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

POT: Inducing Overthinking in LLMs via Black-Box Iterative Optimization DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 9

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source=pdf_text observed=2026-08-15T17:12:27.798908Z digest=sha256:65f05b717e20035311cc468836c4b0ea704f355e06d134e26220ff68fa4de77d

Observation 9ef726f7-0b45-42bf-a634-9cdc925252bb · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

POT: Inducing Overthinking in LLMs via Black-Box Iterative Optimization Measuring Mathematical Problem Solving With the MATH Dataset

Reference 10

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T17:12:27.802575Z digest=sha256:3f7fcdb6e029754607c78c96e39e26f491dfa3fe483b15af95837d20c65b4720

Observation 3853132b-bc04-4ca3-9179-1e7ba4133150 · outbound

This paper cites Capabilities of Large Language Models in Control Engineering: A Benchmark Study on GPT-4, Claude 3 Opus, and Gemini 1.0 Ultra.

POT: Inducing Overthinking in LLMs via Black-Box Iterative Optimization Capabilities of Large Language Models in Control Engineering: A Benchmark Study on GPT-4, Claude 3 Opus, and Gemini 1.0 Ultra

Reference 12

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source=pdf_text observed=2026-08-15T17:12:27.811961Z digest=sha256:cac5bc75e6a246fe80d0fcaa15e2a0d6edf172701142c503dcc2e0ec3cb2509b

Observation 77e0824c-96e0-41d2-abb8-f551a1c7e0f2 · outbound

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

POT: Inducing Overthinking in LLMs via Black-Box Iterative Optimization The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:12:27.815969Z digest=sha256:167393e431233ae4bc6a0b0f4605a5f3b46b4113e466f493350928773b297632

Observation 4281ed0a-ed0a-4ee6-a09e-c021c1fce914 · outbound

This paper cites Deciphering the Chaos: Enhancing Jailbreak Attacks via Adversarial Prompt Translation.

POT: Inducing Overthinking in LLMs via Black-Box Iterative Optimization Deciphering the Chaos: Enhancing Jailbreak Attacks via Adversarial Prompt Translation

Reference 14

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T17:12:27.820248Z digest=sha256:5d3b0bcedbc0f454fa9e3dd9ea004af5f3196b467e32ffb2614c125727babc63

Observation 8b95aff1-6bbc-46f6-bc63-f868287d850f · outbound

This paper cites When LLMs Copy to Think: Uncovering Copy-Guided Attacks in Reasoning LLMs.

POT: Inducing Overthinking in LLMs via Black-Box Iterative Optimization When LLMs Copy to Think: Uncovering Copy-Guided Attacks in Reasoning LLMs

Reference 15

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local_arxiv, observed 2026-08-15T17:12:28.162237Z

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=pdf_text observed=2026-08-15T17:12:27.824173Z digest=sha256:e53adb98f11c1fa380a75d30c3f839a7d429582400d44bc6e5dfc552b044c3ef

Observation 2db839cb-8735-4646-8ce4-bafea28d8f44 · outbound

This paper cites Poisoned-MRAG: Knowledge Poisoning Attacks to Multimodal Retrieval Augmented Generation.

POT: Inducing Overthinking in LLMs via Black-Box Iterative Optimization Poisoned-MRAG: Knowledge Poisoning Attacks to Multimodal Retrieval Augmented Generation

Reference 17

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source=pdf_text observed=2026-08-15T17:12:27.832347Z digest=sha256:c503f6f0f80758454df219ee2f4e81f91b890c1cc08d1ad86224db96f9d0915c

Observation b607b796-4c55-4611-8ab8-58c361bda910 · outbound

This paper cites Are Large Language Models Good Prompt Optimizers?.

POT: Inducing Overthinking in LLMs via Black-Box Iterative Optimization Are Large Language Models Good Prompt Optimizers?

Reference 18

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T17:12:27.836255Z digest=sha256:8f636406a7b21d4f40d1715237d430ba57800cca187ad53262c99dbf90e64fc5

Observation 51c7b986-b513-4390-95db-b9db5eb0b004 · outbound

This paper cites Prompt Injection 2.0: Hybrid AI Threats.

POT: Inducing Overthinking in LLMs via Black-Box Iterative Optimization Prompt Injection 2.0: Hybrid AI Threats

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:12:27.840223Z digest=sha256:f00f60b87190c1536cfe7c45fb23ec08e31beb20514121a6c437fdd43bd17377

Observation fc36621a-885b-4e49-8f85-478e169ee87e · outbound

This paper cites https://openai.

POT: Inducing Overthinking in LLMs via Black-Box Iterative Optimization https://openai

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-15T17:12:28.343811Z

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=pdf_text observed=2026-08-15T17:12:27.844938Z digest=sha256:13194838a0711a0e87dc759b223726346ee94dce46a2f8e7ddac01ce88aed272

Observation a58a7cf7-5017-401d-bfc8-488a66d64766 · outbound

This paper cites Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs.

POT: Inducing Overthinking in LLMs via Black-Box Iterative Optimization Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs

Reference 21

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no resolver link, observed 2026-08-15T17:12:27.850565Z

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source=pdf_text observed=2026-08-15T17:12:27.850565Z digest=sha256:746dcd6bccb7e4d4ddd7294f4c19743c510725c752e2208d231776c3e52639ec

Observation 05e78cbc-c51d-4b23-87ae-15360daadfe5 · outbound

This paper cites In Findings of the Association for Computational Linguistics: ACL 2023, 13387–13434.

POT: Inducing Overthinking in LLMs via Black-Box Iterative Optimization In Findings of the Association for Computational Linguistics: ACL 2023, 13387–13434

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-15T17:12:28.332064Z

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=pdf_text observed=2026-08-15T17:12:27.854947Z digest=sha256:82d7a9ead06e82707acb1144b02a1c62f133ec337a9299f83008a5b7a78ff877

Observation 9613bc9f-e5ed-4cae-a3e9-d7fafbfab3e6 · outbound

This paper cites In 2024 IEEE International Conference on Big Data (BigData), 5392–5401.

POT: Inducing Overthinking in LLMs via Black-Box Iterative Optimization In 2024 IEEE International Conference on Big Data (BigData), 5392–5401

Reference 23

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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=pdf_text observed=2026-08-15T17:12:27.859107Z digest=sha256:137d41147b8d3a43ff0f9e2068be41a3111ffc7aae4efc78b512c3398761b39a

Observation a1c428ff-f150-41ee-a222-7c17d81a3cd7 · outbound

This paper cites Chain-of-Code Collapse: Reasoning Failures in LLMs via Adversarial Prompting in Code Generation.

POT: Inducing Overthinking in LLMs via Black-Box Iterative Optimization Chain-of-Code Collapse: Reasoning Failures in LLMs via Adversarial Prompting in Code Generation

Reference 24

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source=pdf_text observed=2026-08-15T17:12:27.863571Z digest=sha256:c5332cee41e2cee3b2e66fdcf1524afa57ce469f405c57e08fb3ca0b78beb915

Observation ccd72759-41eb-45f6-8cf3-668bf78d0911 · outbound

This paper cites Multitask Prompted Training Enables Zero-Shot Task Generalization.

POT: Inducing Overthinking in LLMs via Black-Box Iterative Optimization Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 25

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source=pdf_text observed=2026-08-15T17:12:27.868086Z digest=sha256:78818c3c705e3f51041f5d7d721fd3e754fcc1586621da8ee0cbe0ad9ec198e5

Observation 186e2afc-2ded-41bd-92b4-8394fdf486e0 · outbound

This paper cites POISONCRAFT: Practical Poisoning of Retrieval-Augmented Generation for Large Language Models.

POT: Inducing Overthinking in LLMs via Black-Box Iterative Optimization POISONCRAFT: Practical Poisoning of Retrieval-Augmented Generation for Large Language Models

Reference 26

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source=pdf_text observed=2026-08-15T17:12:27.872029Z digest=sha256:08cd2be20b981d672e0fab2ffd7e65d2ff946fdd155166acd2bcb9ed08855e17

Observation 2109c801-a865-42bf-82ae-46b9f78e7907 · outbound

This paper cites Excessive Reasoning Attack on Reasoning LLMs.

POT: Inducing Overthinking in LLMs via Black-Box Iterative Optimization Excessive Reasoning Attack on Reasoning LLMs

Reference 27

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source=pdf_text observed=2026-08-15T17:12:27.876103Z digest=sha256:3cfdfbfa6b712b80ce7b8ba92425de77816e30b21f01cf9c0e3be458a5c96c18

Observation 32717d8b-7981-4c99-abde-0aa023e4542b · outbound

This paper cites Finetuned Language Models Are Zero-Shot Learners.

POT: Inducing Overthinking in LLMs via Black-Box Iterative Optimization Finetuned Language Models Are Zero-Shot Learners

Reference 28

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source=pdf_text observed=2026-08-15T17:12:27.880118Z digest=sha256:de4da2c962669b41ceae79c1eda3642054b01289b13f8e556c05b2097e19d808

Observation 4a439190-9267-4378-8920-ad10b7966674 · outbound

This paper cites A Comparative Study on Reasoning Patterns of OpenAI's o1 Model.

POT: Inducing Overthinking in LLMs via Black-Box Iterative Optimization A Comparative Study on Reasoning Patterns of OpenAI's o1 Model

Reference 29

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source=pdf_text observed=2026-08-15T17:12:27.883982Z digest=sha256:76abca30f52664aec225d30d7d2015aa58fc024225de2019f5ecfa7408c8f863

Observation 11cba9e5-346e-43e0-bbbe-8bef72dd0eb1 · outbound

This paper cites Large Language Models as Optimizers.

POT: Inducing Overthinking in LLMs via Black-Box Iterative Optimization Large Language Models as Optimizers

Reference 30

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source=pdf_text observed=2026-08-15T17:12:27.887696Z digest=sha256:d8f6876b905a3c7e05ef413138cec6a9d3d2a7c855af9d1ab00e758b616dddd2

Observation e5e74c77-b79b-4c01-9d32-01cdbeb6ccbf · outbound

This paper cites Jailbreak Attacks and Defenses Against Large Language Models: A Survey.

POT: Inducing Overthinking in LLMs via Black-Box Iterative Optimization Jailbreak Attacks and Defenses Against Large Language Models: A Survey

Reference 31

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source=pdf_text observed=2026-08-15T17:12:27.891608Z digest=sha256:b0278d968fd108b3b8d1374927a1b0665419cfb62504aa91a63d641e40d233ca

Observation a210bf4f-23ad-40f3-9cc3-604079d82a00 · outbound

This paper cites arXiv preprint arXiv:2504.03957.

POT: Inducing Overthinking in LLMs via Black-Box Iterative Optimization arXiv preprint arXiv:2504.03957

Reference 32

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source=pdf_text observed=2026-08-15T17:12:27.895282Z digest=sha256:a7d85df0021c263c7c307367db31710ec527d8a11865fd580ce9b5206b2a2828

Observation 9a28a004-06b7-47d5-b6c6-ac4d51b9e60c · outbound

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

POT: Inducing Overthinking in LLMs via Black-Box Iterative Optimization Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 33

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source=pdf_text observed=2026-08-15T17:12:27.900103Z digest=sha256:19dbe603f04b8cfa466a6d1a53d5c34bd0cc23cb204d05a4e8d5625b318ef08d

Observation fa7cc90b-b31b-4694-a445-2f38b856e187 · outbound

This paper cites MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms.

POT: Inducing Overthinking in LLMs via Black-Box Iterative Optimization MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms

Reference 2019

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source=pdf_text observed=2026-08-15T17:12:27.761882Z digest=sha256:939ad8c72a3b420e7d90fe142044ad7f4be6e96a4bab53b7cdd39f9b73fd5804

Observation a02258b3-d758-4283-abba-9ac0f737f1fc · outbound

This paper cites A General Language Assistant as a Laboratory for Alignment.

POT: Inducing Overthinking in LLMs via Black-Box Iterative Optimization A General Language Assistant as a Laboratory for Alignment

Reference 2021

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source=pdf_text observed=2026-08-15T17:12:27.771638Z digest=sha256:f5e6fe957abf4c6a7e5f77a261bf67cd3ebf3c19e82152cc1c25f8376eee0ce8

Observation 2d237f01-bff9-4811-86db-e3553119e758 · outbound

This paper cites Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations.

POT: Inducing Overthinking in LLMs via Black-Box Iterative Optimization Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations

Reference 2022

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source=pdf_text observed=2026-08-15T17:12:27.807291Z digest=sha256:60fae24a686749e4c5d53bce25f62483ba45cdcf03d38eddc02d7177daf8408b

Observation 1c48df24-f388-4eb1-ab2e-5fa917037653 · outbound

This paper cites Jailbreaking ChatGPT via Prompt Engineering: An Empirical Study.

POT: Inducing Overthinking in LLMs via Black-Box Iterative Optimization Jailbreaking ChatGPT via Prompt Engineering: An Empirical Study

Reference 2023

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source=pdf_text observed=2026-08-15T17:12:27.828295Z digest=sha256:c4b1895378e367045a3da53d1cc51ba7143d46a8d389db158a0272d7d7699b21

Observation 3ae153b0-6918-445f-8933-825da7b6cbcc · outbound

This paper cites https://www.

POT: Inducing Overthinking in LLMs via Black-Box Iterative Optimization https://www

Reference 2024

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raw_fallback, observed 2026-08-15T17:12:28.355755Z

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=pdf_text observed=2026-08-15T17:12:27.767625Z digest=sha256:7535f4d995d49853445ae4b55c42eed6558d7f7ea1a61d001fba99bc3fc34a5d

Observation c6a1439e-624a-4b3c-80d5-9c78bf3d68ed · outbound

This paper cites The TIP of the Iceberg: Revealing a Hidden Class of Task-in-Prompt Adversarial Attacks on LLMs.

POT: Inducing Overthinking in LLMs via Black-Box Iterative Optimization The TIP of the Iceberg: Revealing a Hidden Class of Task-in-Prompt Adversarial Attacks on LLMs

Reference 2025

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source=pdf_text observed=2026-08-15T17:12:27.776350Z digest=sha256:e3bd86bc8b1c637d93357ceb0146c97f2763ddb42608658b4a33f51fe5d19ae4

Pith citing papers

Observation aa0b2588-4b8b-4799-8e13-d0fddff76759 · inbound

OTora: A Unified Red Teaming Framework for Reasoning-Level Denial-of-Service in LLM Agents cites this paper.

OTora: A Unified Red Teaming Framework for Reasoning-Level Denial-of-Service in LLM Agents POT: Inducing Overthinking in LLMs via Black-Box Iterative Optimization

Reference 5

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verified exact
arxiv_id, observed 2026-05-12T07:46:28.445127Z

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=pdf_text observed=2026-05-12T01:57:22.554881Z digest=sha256:33830106e0388c7d765055f484683b5ac77e61435ac541e0cd363cbb786fb7ae

Observation 7a8f151a-edb3-40e1-930a-54f28984d8ed · inbound

OTora: A Unified Red Teaming Framework for Reasoning-Level Denial-of-Service in LLM Agents cites this paper.

OTora: A Unified Red Teaming Framework for Reasoning-Level Denial-of-Service in LLM Agents POT: Inducing Overthinking in LLMs via Black-Box Iterative Optimization

Reference 5

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arxiv_id, observed 2026-07-01T13:45:45.492348Z

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=pdf_text observed=2026-06-30T22:52:54.684185Z digest=sha256:d84f0a831a6cce3cb5dbcd71de1e29445b51d3f8fff82b4d089fd1180a2e97aa

Observation e9ccf3d7-b115-4a2c-a119-9510086db695 · inbound

OTora: A Unified Red Teaming Framework for Reasoning-Level Denial-of-Service in LLM Agents cites this paper.

OTora: A Unified Red Teaming Framework for Reasoning-Level Denial-of-Service in LLM Agents POT: Inducing Overthinking in LLMs via Black-Box Iterative Optimization

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-04T05:17:31.205567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:17:31.205567Z digest=sha256:da436ed471ba23c32c555373e6bb641d52473b7c05b6cac9df723864398cb598

Observation a30a0da3-4c9c-46c4-a9c8-7107e64ca6ff · inbound

Inducing Overthink: Hierarchical Genetic Algorithm-based DoS Attack on Black-Box Large Language Reasoning Models cites this paper.

Inducing Overthink: Hierarchical Genetic Algorithm-based DoS Attack on Black-Box Large Language Reasoning Models POT: Inducing Overthinking in LLMs via Black-Box Iterative Optimization

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-14T18:29:22.402237Z

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=2026-05-14T18:28:49.482841Z digest=sha256:67ce24f3b3d09db9f1562b7459ba596a60f515699c11d193091c20ab2eaf8755

Observation 2cb2b819-638f-443f-beb7-37c2116cb3b8 · inbound

Inducing Overthink: Hierarchical Genetic Algorithm-based DoS Attack on Black-Box Large Language Reasoning Models cites this paper.

Inducing Overthink: Hierarchical Genetic Algorithm-based DoS Attack on Black-Box Large Language Reasoning Models POT: Inducing Overthinking in LLMs via Black-Box Iterative Optimization

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-15T05:55:05.028093Z

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=2026-05-15T05:53:25.657445Z digest=sha256:f5e219b19ff18bf4b275ca58efaf1bc1fa185102a7b0ab2b4c7711161a4749b8

Observation 587126e4-7931-417b-8a5c-3fb293bb4bd4 · inbound

RecurGuard: Runtime Monitoring for Reasoning-Token Consumption Attacks cites this paper.

RecurGuard: Runtime Monitoring for Reasoning-Token Consumption Attacks POT: Inducing Overthinking in LLMs via Black-Box Iterative Optimization

Reference 29

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T21:27:24.559542Z

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=pdf_text observed=2026-06-27T19:45:30.671490Z digest=sha256:16fd65f2c7a12358357386aa07c85f41a814c6a4a16410d7223f28c4cc0aedf1