Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T10:40:48.791843Z
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 1 inbound Pith citation observation for arXiv:2602.02498.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T10:40:48.791843Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-25T04:55:34.529357Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-25T04:56:38.824910Z
56 of 56 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 5fbec80c-406f-45c5-8abe-ebf68d20837b · outbound
Test-Time Detoxification without Training or Learning Anything Llama 3 model card
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c28332af-9338-440b-89fb-b20c1817cd09 · outbound
Test-Time Detoxification without Training or Learning Anything Director: Generator-classifiers for supervised language modeling
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eeb2f311-d67a-4273-a35a-c0e940209cf1 · outbound
Test-Time Detoxification without Training or Learning Anything Systematic rectification of language models via dead-end analysis
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 82d694e5-1eec-47ff-9527-f509d12f15c6 · outbound
Test-Time Detoxification without Training or Learning Anything Enhancing zeroth-order fine- tuning for language models with low-rank structures
Reference 5
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Unavailable: canonical work link unavailable.
Observation f6e96ec4-ced7-4fe6-971a-43c9d65c1c71 · outbound
Test-Time Detoxification without Training or Learning Anything Plug and play language models: A simple approach to controlled text generation
Reference 7
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Unavailable: canonical work link unavailable.
Observation cd67719c-dd48-46c0-9c99-8017865f3d2b · outbound
Test-Time Detoxification without Training or Learning Anything Reward-augmented decoding: Efficient controlled text generation with a unidirectional reward model
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 502b7096-03f6-4cd4-a7d2-45c6438fa9b8 · outbound
Test-Time Detoxification without Training or Learning Anything Bold: Dataset and metrics for measuring biases in open-ended language generation
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 38cc1a41-5dae-4ff5-946a-059a6481c78e · outbound
Test-Time Detoxification without Training or Learning Anything DSCD: Large lan- guage model detoxification with self-constrained decoding
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d7a17d23-64c3-49a0-a178-c7900e578e85 · outbound
Test-Time Detoxification without Training or Learning Anything Variance- reduced zeroth-order methods for fine-tuning language models
Reference 11
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Unavailable: canonical work link unavailable.
Observation 5d51cb23-83d6-4276-9097-909f18453f2b · outbound
Test-Time Detoxification without Training or Learning Anything Unresolved cited work
Reference 12
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Unavailable: canonical work link unavailable.
Observation 157e485f-4594-47b7-b2d2-a0ad8553583e · outbound
Test-Time Detoxification without Training or Learning Anything Unresolved cited work
Reference 13
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Unavailable: canonical work link unavailable.
Observation 579e2b8e-6328-4685-a7f4-fb1084a74cba · outbound
Test-Time Detoxification without Training or Learning Anything Word embeddings are steers for language models
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ae82e7b5-6a7e-458a-af24-06451250ab3b · outbound
Test-Time Detoxification without Training or Learning Anything Detoxify
Reference 15
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Unavailable: canonical work link unavailable.
Observation 2c83bf68-9162-4578-a80f-6f67eecf91f2 · outbound
Test-Time Detoxification without Training or Learning Anything Model-free learning of two-stage beamformers for passive irs-aided network design.IEEE Transactions on Signal Processing, 72:652–669,
Reference 16
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Unavailable: canonical work link unavailable.
Observation 084e3342-62b1-4270-8b5f-d95c109b1374 · outbound
Test-Time Detoxification without Training or Learning Anything Localized zeroth-order prompt optimization
Reference 17
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Unavailable: canonical work link unavailable.
Observation f0729dc6-e052-41f2-9071-10a9d4987397 · outbound
Test-Time Detoxification without Training or Learning Anything DAPI: Domain adaptive toxicity probe vector intervention, for fine-grained detoxification
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7a283070-9e23-43dd-8b09-b98104127966 · outbound
Test-Time Detoxification without Training or Learning Anything Perspective API
Reference 19
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Unavailable: canonical work link unavailable.
Observation 64ae9e1a-f551-42df-af01-c3b013650296 · outbound
Test-Time Detoxification without Training or Learning Anything Critic- guided decoding for controlled text generation
Reference 20
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Unavailable: canonical work link unavailable.
Observation 1f5dc989-3cd5-4410-b345-4148f91f3df4 · outbound
Test-Time Detoxification without Training or Learning Anything Large language models can become strong self- detoxifiers
Reference 21
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Unavailable: canonical work link unavailable.
Observation 955af843-20b7-4da8-be3a-be83c641809f · outbound
Test-Time Detoxification without Training or Learning Anything Unveiling safety vulnerabilities of large language models
Reference 22
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Unavailable: canonical work link unavailable.
Observation 216f01e5-d833-448e-8418-0bbfaa8a4875 · outbound
Test-Time Detoxification without Training or Learning Anything GeDi: Generative discriminator guided sequence generation
Reference 23
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 605f244e-891a-47da-90f4-c4ce37916eee · outbound
Test-Time Detoxification without Training or Learning Anything Language detoxification with attribute- discriminative latent space
Reference 24
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b64555ad-df0f-49e1-b4c4-41dd3838165e · outbound
Test-Time Detoxification without Training or Learning Anything Gonzalez, Hao Zhang, and Ion Stoica
Reference 25
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Unavailable: canonical work link unavailable.
Observation 03923ffc-0057-44f5-818f-6a76c4982658 · outbound
Test-Time Detoxification without Training or Learning Anything Self-detoxifying language models via toxification reversal
Reference 26
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0b6fe4ba-a631-48d5-bb9b-a5a7da976b39 · outbound
Test-Time Detoxification without Training or Learning Anything Destein: Navigating detoxification of language models via universal steering pairs and head-wise activation fusion
Reference 27
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Unavailable: canonical work link unavailable.
Observation f8f252cd-af32-4401-a721-52cd7ffecaaf · outbound
Test-Time Detoxification without Training or Learning Anything Smith, and Yejin Choi
Reference 29
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Unavailable: canonical work link unavailable.
Observation bd5990ec-16a9-4d5c-a7ae-baa7eb3ebede · outbound
Test-Time Detoxification without Training or Learning Anything Sparse meZO: Less parameters for better performance in zeroth-order LLM fine-tuning
Reference 30
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Unavailable: canonical work link unavailable.
Observation bb77aae4-d392-4731-84e4-66f8aacb8cb4 · outbound
Test-Time Detoxification without Training or Learning Anything Unidetox: Universal detoxification of large language models via dataset distillation
Reference 31
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Unavailable: canonical work link unavailable.
Observation f767a2fb-0b8d-4c35-a484-3ae8ee2cd770 · outbound
Test-Time Detoxification without Training or Learning Anything Quark: controllable text generation with reinforced [un]learning
Reference 32
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Unavailable: canonical work link unavailable.
Observation b19ddedc-2011-4def-a7ff-80975d070efa · outbound
Test-Time Detoxification without Training or Learning Anything Lee, Danqi Chen, and Sanjeev Arora
Reference 33
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Unavailable: canonical work link unavailable.
Observation 18635821-dc52-44cf-91a3-a9e391d55e05 · outbound
Test-Time Detoxification without Training or Learning Anything Attribute controlled fine-tuning for large language models: A case study on detoxification
Reference 34
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d0402cb6-c075-4fd6-b094-65439c0de751 · outbound
Test-Time Detoxification without Training or Learning Anything Random gradient-free minimization of convex functions
Reference 35
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Unavailable: canonical work link unavailable.
Observation 1ddaa856-8604-4f4a-9c8f-448347729a39 · outbound
Test-Time Detoxification without Training or Learning Anything Parameter-efficient detoxification with contrastive decoding
Reference 36
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f91f805c-fd2f-4e6e-968d-695a278c72ad · outbound
Test-Time Detoxification without Training or Learning Anything Best practices for prompt engineering with the openai api
Reference 37
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Unavailable: canonical work link unavailable.
Observation 8387a427-3026-4492-953a-d608a990e76b · outbound
Test-Time Detoxification without Training or Learning Anything Training language models to follow instructions with human feed- back
Reference 38
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 005b707d-c3a5-4a33-a28c-d496456cc20a · outbound
Test-Time Detoxification without Training or Learning Anything Data-driven learning of two-stage beamformers in passive irs-assisted systems with inexact oracles.IEEE Access, 13:154984–155002, 2025
Reference 39
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Observation 611a6e23-6b04-4b48-bae3-f7ad91613cc7 · outbound
Test-Time Detoxification without Training or Learning Anything On the challenges of using black-box APIs for toxicity evaluation in research
Reference 40
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Unavailable: canonical work link unavailable.
Observation 40f6cee7-372e-4440-9cea-f43ca655ad48 · outbound
Test-Time Detoxification without Training or Learning Anything Language models are unsupervised multitask learners
Reference 41
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Observation c12e80fd-9820-4537-b43a-468bc9c0e001 · outbound
Test-Time Detoxification without Training or Learning Anything Compatible Gradient Approximations for Actor-Critic Algorithms
Reference 42
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Unavailable: canonical work link unavailable.
Observation 9b4258fc-5a6a-4a57-8ae7-aee8bceed33b · outbound
Test-Time Detoxification without Training or Learning Anything Self-diagnosis and self-debiasing: A proposal for reducing corpus-based bias in nlp.Transactions of the Association for Computational Linguistics, 9: 1408–1424, 12 2021
Reference 43
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Observation d7a9f0f6-951a-4c6c-a1f9-cf09c97b08c6 · outbound
Test-Time Detoxification without Training or Learning Anything Gemma 2: Improving Open Language Models at a Practical Size
Reference 44
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Observation 7db505d2-cf81-445a-96a0-51a605765a09 · outbound
Test-Time Detoxification without Training or Learning Anything Supporting Human Raters with the Detection of Harmful Content Using Large Language Models
Reference 45
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Unavailable: canonical work link unavailable.
Observation d0fda032-79be-4c75-9c97-1bdff3970190 · outbound
Test-Time Detoxification without Training or Learning Anything Attention is all you need
Reference 46
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Observation d6608bb6-3a5a-4bf5-8d19-502254983ebc · outbound
Test-Time Detoxification without Training or Learning Anything Exploring the limits of domain-adaptive training for detoxifying large-scale language models
Reference 47
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Unavailable: canonical work link unavailable.
Observation 068f988c-52e5-4efc-9fdc-96c9f8aefab7 · outbound
Test-Time Detoxification without Training or Learning Anything Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report
Reference 48
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Unavailable: canonical work link unavailable.
Observation 5a1f4783-4ead-4eb8-9fa3-2ddf13ed13a2 · outbound
Test-Time Detoxification without Training or Learning Anything Challenges in detoxifying language models
Reference 49
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ea4d298d-36ed-452f-a225-8b5ed21fe92d · outbound
Test-Time Detoxification without Training or Learning Anything Unresolved cited work
Reference 50
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Unavailable: canonical work link unavailable.
Observation b30a5345-9c90-4959-a990-ed83e702c121 · outbound
Test-Time Detoxification without Training or Learning Anything Recipes for Safety in Open-domain Chatbots
Reference 51
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Unavailable: canonical work link unavailable.
Observation 06bb1a45-8d5d-4ac7-85b0-c841b522d2e5 · outbound
Test-Time Detoxification without Training or Learning Anything SafeDecoding: Defending against jailbreak attacks via safety-aware decoding
Reference 52
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Unavailable: canonical work link unavailable.
Observation f86dc234-3023-4839-8f86-4b978e448fd0 · outbound
Test-Time Detoxification without Training or Learning Anything Qwen3 Technical Report
Reference 53
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Observation 836aad66-9385-4267-ab9a-c0498fe189bf · outbound
Test-Time Detoxification without Training or Learning Anything doi: 10.18653/v1/2024.acl-long.303
Reference 54
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Unavailable: canonical work link unavailable.
Observation 2f576f16-a0d8-4fca-8992-9dfa7bcc1f9d · outbound
Test-Time Detoxification without Training or Learning Anything Unlocking black-box prompt tuning efficiency via zeroth-order optimization
Reference 55
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Unavailable: canonical work link unavailable.
Observation 47e91581-2346-4096-90cc-4fe25c9bcce4 · outbound
Test-Time Detoxification without Training or Learning Anything FUDGE: Controlled text generation with future discriminators
Reference 56
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3e9072a0-91cb-4d51-8f1b-19ca041561a0 · outbound
Test-Time Detoxification without Training or Learning Anything challenging
Reference 57
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Unavailable: canonical work link unavailable.
Observation 34348249-bd37-40b0-8a86-671f35d610f6 · outbound
Test-Time Detoxification without Training or Learning Anything Detoxifying large language models via the diversity of toxic samples
Reference 58
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7ef13665-fc61-4fb2-9cff-e194a52b1c7f · outbound
Test-Time Detoxification without Training or Learning Anything Unresolved cited work
Reference 2024
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Unavailable: canonical work link unavailable.
Observation 4ef9a461-ef0a-4c98-845a-2a15d2b6f4fe · inbound
Self-Improving In-Context Learning Test-Time Detoxification without Training or Learning Anything
Reference 39
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.