DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning | Paper Citation Record

Observation ede7eb1e-2ebd-4b11-b03c-cdeda2ed7aba · outbound

This paper cites Building efficient llm pipeline for human mobility prediction,.

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning Building efficient llm pipeline for human mobility prediction,

Reference 1

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Observation 2d3f0f8b-18d4-4182-b285-44266bc2cb77 · outbound

This paper cites Bridging cross-domain time series: Efficient federated anomaly detection with sharded llms,.

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning Bridging cross-domain time series: Efficient federated anomaly detection with sharded llms,

Reference 2

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Observation 5d2e7d07-8b7f-4ff6-9f8a-5e97ddfd1b91 · outbound

This paper cites Llm-based agents for tool learning: A survey: W. xu et al.

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning Llm-based agents for tool learning: A survey: W. xu et al

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:50:16.135204Z

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Observation c0d9f272-7e66-42bc-95b5-6a0f33dcefe9 · outbound

This paper cites The Llama 3 Herd of Models.

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning The Llama 3 Herd of Models

Reference 4

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Observation 8c4b4fba-5046-4de3-876f-f0654a22b7e8 · outbound

This paper cites GPT-4 Technical Report.

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning GPT-4 Technical Report

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-08T19:50:15.035326Z

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Observation 97372d2a-2e31-4503-846b-75016a9de8a3 · outbound

This paper cites Fine-tuning aligned language models compromises safety, even when users do not intend to!.

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning Fine-tuning aligned language models compromises safety, even when users do not intend to!

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:50:16.123946Z

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Observation 0287c279-0082-472c-89f2-e46aae1685dc · outbound

This paper cites DataShield: Safety-degrading Data Filtering for LLM Benign Instruction Fine-Tuning.

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning DataShield: Safety-degrading Data Filtering for LLM Benign Instruction Fine-Tuning

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-08T19:50:15.602753Z

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Observation f82586f1-c961-46f9-b575-70ffd598de90 · outbound

This paper cites Safety-tuned llamas: Lessons from improving the safety of large language models that follow instructions,.

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning Safety-tuned llamas: Lessons from improving the safety of large language models that follow instructions,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:50:16.112466Z

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Observation a1a7f071-8163-4f7b-8354-4c25523fe0c1 · outbound

This paper cites Token-Level Adversarial Prompt Detection Based on Perplexity Measures and Contextual Information.

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning Token-Level Adversarial Prompt Detection Based on Perplexity Measures and Contextual Information

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-08T19:50:15.056191Z

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Observation 282e8089-3475-4bd4-a3a1-d5ff724a041a · outbound

This paper cites Rain: Your lan- guage models can align themselves without finetuning,.

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning Rain: Your lan- guage models can align themselves without finetuning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:50:16.099998Z

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Observation bb8e0288-2564-4a1a-a35c-8fd606399a92 · outbound

This paper cites Exploring the limits of transfer learning with a unified text- to-text transformer,.

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning Exploring the limits of transfer learning with a unified text- to-text transformer,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:50:16.086836Z

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Observation 99cc662a-38de-4887-abb6-c439eb293ad7 · outbound

This paper cites Data to defense: The role of curation in aligning large language models against safety compromise,.

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning Data to defense: The role of curation in aligning large language models against safety compromise,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:50:16.074277Z

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Observation a2b2f045-40ce-4126-8495-f822fbc3cef2 · outbound

This paper cites Do as i do (safely): Mitigating task-specific fine-tuning risks in large language models,.

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning Do as i do (safely): Mitigating task-specific fine-tuning risks in large language models,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:50:16.061823Z

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Observation 49728abb-74f6-4903-819a-16874fc50af7 · outbound

This paper cites Self-distillation bridges distribution gap in language model fine-tuning,.

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning Self-distillation bridges distribution gap in language model fine-tuning,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:50:16.048290Z

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Observation e2f9a78f-cb20-4b03-bf11-f48aaff53758 · outbound

This paper cites Gr-sap: Generative replay for safety alignment preservation during fine-tuning,.

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning Gr-sap: Generative replay for safety alignment preservation during fine-tuning,

Reference 15

Resolution: verified exact; raw_fallback, observed 2026-08-08T19:50:15.574314Z

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Observation 856de00e-ac12-446d-ad60-e4535f873b10 · outbound

This paper cites Aegis2. 0: A diverse ai safety dataset and risks taxonomy for alignment of llm guardrails,.

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning Aegis2. 0: A diverse ai safety dataset and risks taxonomy for alignment of llm guardrails,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:50:16.036137Z

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Observation bb6143f5-def2-4cf7-9eed-c72cf85f80a8 · outbound

This paper cites Beavertails: Towards improved safety alignment of llm via a human-preference dataset,.

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning Beavertails: Towards improved safety alignment of llm via a human-preference dataset,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-08T19:50:15.089677Z

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Observation 52085dd5-c107-49f4-a7c0-a47c03b4d58c · outbound

This paper cites Seal: Safety-enhanced aligned llm fine-tuning via bilevel data selection,.

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning Seal: Safety-enhanced aligned llm fine-tuning via bilevel data selection,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:50:16.016374Z

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Observation bb2c16bd-77a1-493e-a106-132c1f1b1a4c · outbound

This paper cites How to fine-tune safely on a budget: Model adaptation using minimal resources,.

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning How to fine-tune safely on a budget: Model adaptation using minimal resources,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:50:16.004373Z

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Observation efc88d86-58f0-4edf-8127-e9de532ab98c · outbound

This paper cites Sft doesn’t always hurt general capa- bilities: Revisiting domain-specific fine-tuning in llms,.

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning Sft doesn’t always hurt general capa- bilities: Revisiting domain-specific fine-tuning in llms,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:50:15.991154Z

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Observation 10067674-662b-4d9f-80a9-3ad601bc34d4 · outbound

This paper cites Robust estimation of a location parameter,.

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning Robust estimation of a location parameter,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-08T19:50:15.104566Z

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Observation 10fac990-baec-4717-a253-bc93f4c1951a · outbound

This paper cites Refusal in language models is mediated by a single direction,.

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning Refusal in language models is mediated by a single direction,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-08T19:50:15.108314Z

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Observation 04c92b93-e049-41ab-9bbb-31d60e0a7c6b · outbound

This paper cites On the role of attention heads in large language model safety,.

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning On the role of attention heads in large language model safety,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:50:15.964302Z

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Observation bf6a8b26-ca37-46e9-a627-d9468adaf58d · outbound

This paper cites Detoxifying large language models via knowledge editing,.

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning Detoxifying large language models via knowledge editing,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-08T19:50:15.116100Z

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Observation 3fc71a3f-41c6-40bb-b87d-2526b71024ac · outbound

This paper cites Qwen2.5 technical report,.

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning Qwen2.5 technical report,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-08T19:50:15.119651Z

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Observation 6e41c3ac-c160-4933-ae47-0e801c8f2c4a · outbound

This paper cites Mistral 7B.

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning Mistral 7B

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-08T19:50:15.128956Z

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Observation 16bc581b-92a1-4641-bcf0-38af3c2ca40f · outbound

This paper cites Lora: Low-rank adaptation of large language models.

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning Lora: Low-rank adaptation of large language models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-08T19:50:15.133391Z

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Observation b74c4885-775a-4251-b399-a5081eb2f955 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning Training Verifiers to Solve Math Word Problems

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-08T19:50:15.137395Z

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Observation 2520fb44-43b5-4ea2-9354-7bd347ebbc87 · outbound

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

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning Measuring Mathematical Problem Solving With the MATH Dataset

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-08T19:50:15.141589Z

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Observation eafbabfa-15c1-4d67-b42b-2aec46879386 · outbound

This paper cites Hellaswag: Can a machine really finish your sentence?.

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning Hellaswag: Can a machine really finish your sentence?

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:50:15.927442Z

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Observation ee5fd9e2-2378-45e6-ad49-cb831ba52253 · outbound

This paper cites Winogrande: An adversarial winograd schema challenge at scale,.

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning Winogrande: An adversarial winograd schema challenge at scale,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:50:15.912820Z

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Observation 89afc98b-2b23-4325-98ef-aeb02bb0c663 · outbound

This paper cites What disease does this patient have? a large-scale open domain question answering dataset from medical exams,.

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning What disease does this patient have? a large-scale open domain question answering dataset from medical exams,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-08T19:50:15.153854Z

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Observation 54e2bc5b-5ea6-4b7e-80e7-3bf9232663eb · outbound

This paper cites Magicoder: Empow- ering code generation with oss-instruct,.

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning Magicoder: Empow- ering code generation with oss-instruct,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:50:15.788995Z

Source-reported events for the cited work

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Observation 4f27a165-e706-4775-b889-9cf1309dd501 · outbound

This paper cites Multilingual Contextualization of Large Language Models for Document-Level Machine Translation.

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning Multilingual Contextualization of Large Language Models for Document-Level Machine Translation

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-08T19:50:15.161704Z

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Observation c1b7f325-168c-40ba-b6fe-cdc58d6f2c37 · outbound

This paper cites Improving alignment and robustness with circuit breakers,.

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning Improving alignment and robustness with circuit breakers,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:50:15.776548Z

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Observation 1310ed45-023d-4a06-a01f-8f5df5bbfc86 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning Evaluating Large Language Models Trained on Code

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-08T19:50:15.169586Z

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Observation 9289b51d-c48d-4b98-99c0-3b0954c77665 · outbound

This paper cites Comet-22: Unbabel-ist 2022 submission for the metrics shared task,.

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning Comet-22: Unbabel-ist 2022 submission for the metrics shared task,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-08T19:50:15.173479Z

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Observation b1f4950e-e1cc-4f39-bcf9-6d21fc1ad03b · outbound

This paper cites Keeping llms aligned after fine-tuning: The crucial role of prompt templates,.

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning Keeping llms aligned after fine-tuning: The crucial role of prompt templates,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:50:15.755390Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8cfa8100-aad8-4f9a-9fd5-d52c2df098a6 · outbound

This paper cites HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal.

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-08T19:50:15.180920Z

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Observation 69bb505a-fcc7-4ce2-beef-2f2e1f9a5537 · outbound

This paper cites Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for Instruction Fine-Tuning.

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for Instruction Fine-Tuning

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-08T19:50:15.184715Z

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Observation 54a37acd-daa6-41f9-b947-67cf6ae4100d · outbound

This paper cites Wildguard: Open one-stop moderation tools for safety risks, jailbreaks, and refusals of llms,.

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning Wildguard: Open one-stop moderation tools for safety risks, jailbreaks, and refusals of llms,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-08T19:50:15.188479Z

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Observation e1b61469-20ae-4026-b92e-d5e0fcd6ffcc · outbound

This paper cites Qwen3Guard Technical Report.

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning Qwen3Guard Technical Report

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-08T19:50:15.192300Z

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Observation 50ad6453-1e80-44a4-a106-8ab206d0176a · outbound

This paper cites Sentence-bert: Sentence embeddings using siamese bert-networks,.

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning Sentence-bert: Sentence embeddings using siamese bert-networks,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-08T19:50:15.196272Z

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Observation d4d37f24-17c6-4c0f-ad53-57ccff928826 · outbound

This paper cites Safety alignment should be made more than just a few tokens deep,.

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning Safety alignment should be made more than just a few tokens deep,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:50:15.726043Z

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 3ffffe55-5aa0-42f3-bfbd-8fff0073dcb2 · outbound

This paper cites XSTest: A test suite for identifying exaggerated safety behaviours in large language models,.

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning XSTest: A test suite for identifying exaggerated safety behaviours in large language models,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:50:15.711865Z

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 f4d99faf-93ae-4fc5-aeb4-fb364d86aad1 · outbound

This paper cites Understanding and mitigating over-refusal for large language models via safety repre- sentation,.

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning Understanding and mitigating over-refusal for large language models via safety repre- sentation,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-08T19:50:15.207361Z

Source-reported events for the cited work

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Observation 33d16471-aab7-42a6-8382-bcbd2c3dba12 · outbound

This paper cites Unlearning Isn't Deletion: Investigating Reversibility of Machine Unlearning in LLMs.

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning Unlearning Isn't Deletion: Investigating Reversibility of Machine Unlearning in LLMs

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-08T19:50:15.211198Z

Source-reported events for the cited work

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Observation 45ddc7bc-f261-4441-b39d-4d6388fab244 · outbound

This paper cites Lima: Less is more for alignment,.

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning Lima: Less is more for alignment,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-08T19:50:15.214962Z

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Observation 07c1fedf-96c5-43ef-9fc5-89fe4228b569 · outbound

This paper cites LIMO: Less is More for Reasoning.

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning LIMO: Less is More for Reasoning

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-08T19:50:15.218577Z

Source-reported events for the cited work

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Observation d2b259ac-8cb2-40dd-b823-be0175f804db · outbound

This paper cites s1: Simple test-time scaling,.

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning s1: Simple test-time scaling,

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-08T19:50:15.223370Z

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Observation 4d49cc6e-f695-41fd-83a6-424c0e8ccd0f · outbound

This paper cites Hint Tuning: Less Data Makes Better Reasoners.

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning Hint Tuning: Less Data Makes Better Reasoners

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-08-08T19:50:15.311031Z

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 cf5225a8-e380-4600-b76c-751e2b839a28 · outbound

This paper cites Redagent: an autonomous agent for context-aware red teaming of llm jailbreaks,.

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning Redagent: an autonomous agent for context-aware red teaming of llm jailbreaks,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:50:15.683177Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8cfc0a3c-be0c-4900-b766-c6bf5c558ffd · outbound

This paper cites A multi- stage adversarial framework for compact and effective jailbreaking of large language models,.

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning A multi- stage adversarial framework for compact and effective jailbreaking of large language models,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:50:15.671733Z

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 4780560a-8ddb-41e2-b206-a2d8b37a5bb7 · outbound

This paper cites Do we really need curated malicious data for safety alignment in multi-modal large language models?.

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning Do we really need curated malicious data for safety alignment in multi-modal large language models?

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:50:15.660027Z

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 7fe74e83-2e95-43ec-9480-94b123eadfe4 · outbound

This paper cites Why LLM Safety Guardrails Collapse After Fine-tuning: A Similarity Analysis Between Alignment and Fine-tuning Datasets.

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning Why LLM Safety Guardrails Collapse After Fine-tuning: A Similarity Analysis Between Alignment and Fine-tuning Datasets

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-08T19:50:15.242121Z

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Observation 838fbc03-bb5e-41dd-9b5c-50d51258a7a6 · outbound

This paper cites Safechain: Safety of language models with long chain- of-thought reasoning capabilities,.

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning Safechain: Safety of language models with long chain- of-thought reasoning capabilities,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:50:15.647907Z

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 c7aa985f-b60f-4c15-88ee-45169301cad7 · outbound

This paper cites Star-1: Safer alignment of reasoning llms with 1k data,.

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning Star-1: Safer alignment of reasoning llms with 1k data,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:50:15.636372Z

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 44acff21-1932-49b3-86ca-c71167c466ff · outbound

This paper cites Unsafechain: Enhancing reasoning model safety via hard cases,.

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning Unsafechain: Enhancing reasoning model safety via hard cases,

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-08T19:50:15.253942Z

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Unavailable: canonical work link unavailable.

Observation 4863d180-36a8-43dc-b549-4aedada1668c · outbound

This paper cites Qwen2.5 Technical Report.

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning Qwen2.5 Technical Report

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-08T19:50:15.123673Z

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