Paper Citation Record · LEDGER

Trading Inference-Time Compute for Adversarial Robustness

As of 14 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 18 inbound Pith citation observations for arXiv:2501.18841.

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

pith.paper-citation-record.v1
2501.18841 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T22:19:41.413419Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:36:06.241064Z

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

36 of 36 outbound references displayed

verified exact0
verified fuzzy15
unresolved21
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 6f270ed7-0c4b-4bb0-96f2-9050763a6fea · outbound

This paper cites write newline.

Trading Inference-Time Compute for Adversarial Robustness write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-09T22:19:41.256989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 041e14b8-cd84-4cbf-a5c9-27729fa687d1 · outbound

This paper cites Does Refusal Training in LLMs Generalize to the Past Tense?.

Trading Inference-Time Compute for Adversarial Robustness Does Refusal Training in LLMs Generalize to the Past Tense?

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-09T22:19:41.262397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b7a6854-8fce-4238-b566-b3565a897b4c · outbound

This paper cites Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks.

Trading Inference-Time Compute for Adversarial Robustness Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-09T22:19:41.267210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 774da771-36be-4bf0-b6cc-98110d2c3390 · outbound

This paper cites Many-shot jailbreaking.

Trading Inference-Time Compute for Adversarial Robustness Many-shot jailbreaking

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:19:41.899309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d696963b-db58-4168-af86-d951bef777ae · outbound

This paper cites Soft prompting might be a bug, not a feature.

Trading Inference-Time Compute for Adversarial Robustness Soft prompting might be a bug, not a feature

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:19:41.883484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2e1c5427-0f59-42e8-bafd-aba607494335 · outbound

This paper cites Some lessons from adversarial machine learning.

Trading Inference-Time Compute for Adversarial Robustness Some lessons from adversarial machine learning

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:19:41.869719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c103e1fe-c089-4cd1-a9fb-e1c6c975cb06 · outbound

This paper cites (certified!!) adversarial robustness for free! In The Eleventh International Conference on Learning Representations, 2023.

Trading Inference-Time Compute for Adversarial Robustness (certified!!) adversarial robustness for free! In The Eleventh International Conference on Learning Representations, 2023

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:19:41.856342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7816d9e6-95e2-4274-a03f-8460b8acd64d · outbound

This paper cites Jailbreaking Black Box Large Language Models in Twenty Queries.

Trading Inference-Time Compute for Adversarial Robustness Jailbreaking Black Box Large Language Models in Twenty Queries

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-09T22:19:41.289746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8eb9e048-e72c-41d3-a7ea-1af3862dc116 · outbound

This paper cites Certified adversarial robustness via randomized smoothing.

Trading Inference-Time Compute for Adversarial Robustness Certified adversarial robustness via randomized smoothing

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-09T22:19:41.295820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13518daa-beca-4cc7-b677-8c96b9edb641 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Trading Inference-Time Compute for Adversarial Robustness Imagenet: A large-scale hierarchical image database

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-09T22:19:41.300614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 103fd06d-08b6-4cd3-a399-71022a10c391 · outbound

This paper cites How Robust is Google's Bard to Adversarial Image Attacks?.

Trading Inference-Time Compute for Adversarial Robustness How Robust is Google's Bard to Adversarial Image Attacks?

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-09T22:19:41.304834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8571d97-fc09-4a31-a17f-b9320ab99a5f · outbound

This paper cites an unresolved cited work.

Trading Inference-Time Compute for Adversarial Robustness Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-09T22:19:41.824001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 30585788-ea0e-4e69-a689-182fa8ea46a2 · outbound

This paper cites Not what you've signed up for: Compromising real-world llm-integrated applications with indirect prompt injection.

Trading Inference-Time Compute for Adversarial Robustness Not what you've signed up for: Compromising real-world llm-integrated applications with indirect prompt injection

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-09T22:19:41.313620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20715a8e-5a92-432e-8c53-c603e6bdc432 · outbound

This paper cites Deep residual learning for image recognition.

Trading Inference-Time Compute for Adversarial Robustness Deep residual learning for image recognition

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-09T22:19:41.318628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab961f06-7030-4f30-8b00-5b37a99ef384 · outbound

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

Trading Inference-Time Compute for Adversarial Robustness Measuring Mathematical Problem Solving With the MATH Dataset

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T22:19:41.322633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48b77ec2-992e-49b5-9716-3158f6088a1e · outbound

This paper cites Natural adversarial examples.

Trading Inference-Time Compute for Adversarial Robustness Natural adversarial examples

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-09T22:19:41.327059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22bf2472-20cf-4577-a002-1b7f9e1baeb2 · outbound

This paper cites Scaling Trends in Language Model Robustness.

Trading Inference-Time Compute for Adversarial Robustness Scaling Trends in Language Model Robustness

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-09T22:19:41.331228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 416f228c-58fc-4f18-970b-368de63a1ee7 · outbound

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

Trading Inference-Time Compute for Adversarial Robustness Baseline Defenses for Adversarial Attacks Against Aligned Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-09T22:19:41.335548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3df2216-bf76-4ec7-ad54-80096a23a43b · outbound

This paper cites A comprehensive study on robustness of image classification models: Benchmarking and rethinking.

Trading Inference-Time Compute for Adversarial Robustness A comprehensive study on robustness of image classification models: Benchmarking and rethinking

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:19:41.786009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 66991808-a196-4477-92fb-51acb978fb35 · outbound

This paper cites Towards deep learning models resistant to adversarial attacks.

Trading Inference-Time Compute for Adversarial Robustness Towards deep learning models resistant to adversarial attacks

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-09T22:19:41.345623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c935e20-3458-419a-b2b2-8c64ff0d2123 · outbound

This paper cites Learning to reason with LLM s, 2024.

Trading Inference-Time Compute for Adversarial Robustness Learning to reason with LLM s, 2024

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:19:41.763212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 00975178-b38b-4e97-95f4-134fadf4d8dc · outbound

This paper cites 4v (ision) system card.

Trading Inference-Time Compute for Adversarial Robustness 4v (ision) system card

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:19:41.749340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bc3b4963-9ccf-424f-8382-a87b1d77be27 · outbound

This paper cites Data exfiltration from slack ai via indirect prompt injection.

Trading Inference-Time Compute for Adversarial Robustness Data exfiltration from slack ai via indirect prompt injection

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:19:41.735307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cd5d961e-df93-4d85-a2fd-cabc16db0205 · outbound

This paper cites Safetywashing: Do ai safety benchmarks actually measure safety progress? In The Thirty-eight Conference on Neural Information Processing Systems Datasets and Benchmarks Track, 2024.

Trading Inference-Time Compute for Adversarial Robustness Safetywashing: Do ai safety benchmarks actually measure safety progress? In The Thirty-eight Conference on Neural Information Processing Systems Datasets and Benchmarks Track, 2024

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:19:41.721773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a70f4559-de0b-4e1a-ab85-07359d8936bb · outbound

This paper cites Ignore this title and hackaprompt: Exposing systemic vulnerabilities of llms through a global prompt hacking competition.

Trading Inference-Time Compute for Adversarial Robustness Ignore this title and hackaprompt: Exposing systemic vulnerabilities of llms through a global prompt hacking competition

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:19:41.707024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e3a2bd94-695f-4019-8ce6-a115dcf5cbc1 · outbound

This paper cites Revisiting adversarial training for imagenet: Architectures, training and generalization across threat models.

Trading Inference-Time Compute for Adversarial Robustness Revisiting adversarial training for imagenet: Architectures, training and generalization across threat models

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:19:41.688807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e52fd825-6c57-4478-8524-fef5a14345e6 · outbound

This paper cites A StrongREJECT for Empty Jailbreaks.

Trading Inference-Time Compute for Adversarial Robustness A StrongREJECT for Empty Jailbreaks

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-09T22:19:41.373270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd3dfa55-7251-4c81-9e58-5f798333cc9f · outbound

This paper cites Test-time training with self-supervision for generalization under distribution shifts.

Trading Inference-Time Compute for Adversarial Robustness Test-time training with self-supervision for generalization under distribution shifts

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:19:41.669471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4a2fa3be-a9af-46c8-b3b4-6d1bfb79e99b · outbound

This paper cites Tensor trust: Interpretable prompt injection attacks from an online game.

Trading Inference-Time Compute for Adversarial Robustness Tensor trust: Interpretable prompt injection attacks from an online game

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:19:41.654813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 09aa3f98-ed08-419e-8def-cfc52743e4d2 · outbound

This paper cites Revisiting adversarial training at scale.

Trading Inference-Time Compute for Adversarial Robustness Revisiting adversarial training at scale

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:19:41.638298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f13686ec-00fb-456e-9017-0b8698953ab8 · outbound

This paper cites Jailbroken: How does llm safety training fail? Advances in Neural Information Processing Systems, 36, 2023.

Trading Inference-Time Compute for Adversarial Robustness Jailbroken: How does llm safety training fail? Advances in Neural Information Processing Systems, 36, 2023

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:19:41.624997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9d1158f4-6348-4a56-97f5-b98797720e26 · outbound

This paper cites Measuring short-form factuality in large language models.

Trading Inference-Time Compute for Adversarial Robustness Measuring short-form factuality in large language models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-09T22:19:41.395082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75873f61-734b-4b04-ac17-42986d7bad9e · outbound

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

Trading Inference-Time Compute for Adversarial Robustness Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-09T22:19:41.399009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1030c699-6364-489e-87b2-6a051f31413f · outbound

This paper cites @esa (Ref.

Trading Inference-Time Compute for Adversarial Robustness @esa (Ref

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-09T22:19:41.402862Z

Source-reported events for the cited work

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Observation 51a94dd9-2552-4268-8ac2-a2dbefd033df · outbound

This paper cites an unresolved cited work.

Trading Inference-Time Compute for Adversarial Robustness Unresolved cited work

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-09T22:19:41.407419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09822c96-5dad-4a86-ade5-fbbe7a7f0634 · outbound

This paper cites an unresolved cited work.

Trading Inference-Time Compute for Adversarial Robustness Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-09T22:19:41.594166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

Observation ca3d24b8-33bf-48f6-950d-d073526d2b13 · inbound

Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional Training cites this paper.

Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional Training Trading Inference-Time Compute for Adversarial Robustness

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T15:36:06.241064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4dc0665-1d70-4883-9ff1-5f83f3f7fcdf · inbound

Beyond Safe Answers: A Benchmark for Evaluating True Risk Awareness in Large Reasoning Models cites this paper.

Beyond Safe Answers: A Benchmark for Evaluating True Risk Awareness in Large Reasoning Models Trading Inference-Time Compute for Adversarial Robustness

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T14:13:50.014107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 987db901-2058-4dc1-846a-95728c3f3a52 · inbound

Beyond Prompt Engineering: Robust Behavior Control in LLMs via Steering Target Atoms cites this paper.

Beyond Prompt Engineering: Robust Behavior Control in LLMs via Steering Target Atoms Trading Inference-Time Compute for Adversarial Robustness

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T14:38:53.777359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eac40eb2-99d1-43d6-9641-5364d8126918 · inbound

Towards Safety Reasoning in LLMs: AI-agentic Deliberation for Policy-embedded CoT Data Creation cites this paper.

Towards Safety Reasoning in LLMs: AI-agentic Deliberation for Policy-embedded CoT Data Creation Trading Inference-Time Compute for Adversarial Robustness

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-07T13:27:12.277081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1576cc0e-a835-454d-813e-0a16fc305877 · inbound

SCGAgent: Recreating the Benefits of Reasoning Models for Secure Code Generation with Agentic Workflows cites this paper.

SCGAgent: Recreating the Benefits of Reasoning Models for Secure Code Generation with Agentic Workflows Trading Inference-Time Compute for Adversarial Robustness

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T05:42:55.005636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41c386f6-dddf-46ea-87b0-597c89acff9d · inbound

RedDebate: Safer Responses Through Multi-Agent Red Teaming Debates cites this paper.

RedDebate: Safer Responses Through Multi-Agent Red Teaming Debates Trading Inference-Time Compute for Adversarial Robustness

Reference 968

Resolution: malformed identifier; no resolver link, observed 2026-08-07T11:02:15.831589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8404eecd-d58e-467f-ad4d-29ee522e8a54 · inbound

Does More Inference-Time Compute Really Help Robustness? cites this paper.

Does More Inference-Time Compute Really Help Robustness? Trading Inference-Time Compute for Adversarial Robustness

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T15:26:22.432003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ecda5bb-50ea-448b-a394-c659a641c898 · inbound

A Comprehensive Survey on Trustworthiness in Reasoning with Large Language Models cites this paper.

A Comprehensive Survey on Trustworthiness in Reasoning with Large Language Models Trading Inference-Time Compute for Adversarial Robustness

Reference 140

Resolution: unresolved; no resolver link, observed 2026-08-05T10:39:06.995308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56253540-ad43-4978-9be2-f6601c580c75 · inbound

SafeSearch: Automated Red-Teaming of LLM-Based Search Agents cites this paper.

SafeSearch: Automated Red-Teaming of LLM-Based Search Agents Trading Inference-Time Compute for Adversarial Robustness

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:56.377275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23d6cad5-9fb8-442d-a3ae-b010bebbf6ee · inbound

Reasoning Up the Instruction Ladder for Controllable Language Models cites this paper.

Reasoning Up the Instruction Ladder for Controllable Language Models Trading Inference-Time Compute for Adversarial Robustness

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-04T07:07:56.762559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2424077d-99e2-4d0f-87b0-258bf7d32bfc · inbound

Controllable LLM Reasoning via Sparse Autoencoder-Based Steering cites this paper.

Controllable LLM Reasoning via Sparse Autoencoder-Based Steering Trading Inference-Time Compute for Adversarial Robustness

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-03T12:21:01.678657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00d20dcc-caf4-473c-b7a2-7bd2202ee07d · inbound

Contrastive Reasoning Alignment: Reinforcement Learning from Hidden Representations cites this paper.

Contrastive Reasoning Alignment: Reinforcement Learning from Hidden Representations Trading Inference-Time Compute for Adversarial Robustness

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-21T11:24:08.439559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e3859945-dbd2-4c25-98d1-10fa72383f03 · inbound

Attention-Guided Reward for Reinforcement Learning-based Jailbreak against Large Reasoning Models cites this paper.

Attention-Guided Reward for Reinforcement Learning-based Jailbreak against Large Reasoning Models Trading Inference-Time Compute for Adversarial Robustness

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-20T06:38:05.890538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a7298098-b10c-436f-b2aa-a3b53f6a18dc · inbound

Adaptive Probe-based Steering for Robust LLM Jailbreaking cites this paper.

Adaptive Probe-based Steering for Robust LLM Jailbreaking Trading Inference-Time Compute for Adversarial Robustness

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-21T02:33:54.924148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b60c7f61-504b-4306-bd7b-19cf058aa0eb · inbound

Addressing Over-Refusal in LLMs with Competing Rewards cites this paper.

Addressing Over-Refusal in LLMs with Competing Rewards Trading Inference-Time Compute for Adversarial Robustness

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-01T08:55:35.482347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1048856a-943c-49fd-968e-1d524deec0bf · inbound

Chain-of-Models: Cross-Model Auditing for Bias-Robust LLM Judges cites this paper.

Chain-of-Models: Cross-Model Auditing for Bias-Robust LLM Judges Trading Inference-Time Compute for Adversarial Robustness

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-03T00:55:26.018246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2624a320-7852-426d-8c1e-a4439a7ebea9 · inbound

Outcome-Guided Distillation: A Teacher-Student Framework to Advance VLM Reasoning in Autonomous Driving cites this paper.

Outcome-Guided Distillation: A Teacher-Student Framework to Advance VLM Reasoning in Autonomous Driving Trading Inference-Time Compute for Adversarial Robustness

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-03T14:38:56.406706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8273bdb2-5108-4b30-9576-c2d507d6d816 · inbound

From Monoliths to Swarms: A Study of Attack Surface Evolution in the Transition to Multi-Agent Web Systems cites this paper.

From Monoliths to Swarms: A Study of Attack Surface Evolution in the Transition to Multi-Agent Web Systems Trading Inference-Time Compute for Adversarial Robustness

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-04T01:03:47.560713Z

Source-reported events for the cited work

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