Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T14:19:39.453702Z
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2607.20440.
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 2026-08-02T14:19:39.453702Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
45 of 45 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation e6d3a7fa-8bf5-4f82-b2fc-45968833a03b · outbound
Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility GPT-4 Technical Report
Reference 1
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Unavailable: canonical work link unavailable.
Observation 1dc98b2d-055b-47ed-975c-f3da0f1d276b · outbound
Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility On-policy distillation of language models: Learning from self-generated mistakes
Reference 2
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Observation 2594b9d2-755d-4d0e-885f-d46c09d55c77 · outbound
Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility Training Verifiers to Solve Math Word Problems
Reference 3
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Observation ff709b8e-93b2-4c0c-8f2d-6ebd10c0e92b · outbound
Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility Knowledge distillation: A survey.IJCV, 129(6):1789–1819, 2021
Reference 4
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Observation 6e4a5f54-cbed-4fa2-81b1-8273a352cf10 · outbound
Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility The Llama 3 Herd of Models
Reference 5
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Observation fb7c27ed-89f1-43e4-ac59-e76c4764d945 · outbound
Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility Watermarking Pre-trained Language Models with Backdooring
Reference 6
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Unavailable: canonical work link unavailable.
Observation 45e021c5-29c2-42b7-9ff2-a604ceb1019e · outbound
Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility Minillm: Knowledge distillation of large language models
Reference 7
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Unavailable: canonical work link unavailable.
Observation 21d37035-aa95-47ab-96a3-aa63f2e2ea64 · outbound
Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility Accelerate: training and inference at scale made simple, efficient and adaptable.URL: https://github
Reference 8
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Observation 1974df22-871e-403a-b684-6eae4f1373a7 · outbound
Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 9
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Observation 5697e547-c61a-464e-a6a9-b2287a40989c · outbound
Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility Protecting intellectual property of language generation apis with lexical watermark
Reference 10
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Observation a7388bfb-3ba6-4255-b954-2a06611fa9fe · outbound
Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility Measuring Mathematical Problem Solving With the MATH Dataset
Reference 11
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Observation 5126c66f-83d3-40de-a637-bf2de09312e9 · outbound
Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility Distilling the Knowledge in a Neural Network
Reference 12
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Observation bc9489c7-37d6-4751-98fd-8465de449760 · outbound
Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility Large language models are reasoning teachers
Reference 13
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Unavailable: canonical work link unavailable.
Observation 99511333-82eb-4422-90f2-c79f1bef8abd · outbound
Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility Distilling step-by-step! outperforming larger language models with less training data and smaller model sizes
Reference 14
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Unavailable: canonical work link unavailable.
Observation fae023bc-6652-431e-90db-8ee2695d7cf8 · outbound
Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility Lora: Low-rank adaptation of large language models
Reference 15
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Unavailable: canonical work link unavailable.
Observation 85e1c8a1-a8c1-42a3-846c-4f1a43e5a8c3 · outbound
Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility Gemma 3 Technical Report
Reference 16
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Observation 967648da-4aae-4606-baad-dc01ec25064c · outbound
Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility Sequence-level knowledge distillation
Reference 17
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Observation 8fb3cf0e-114f-4096-886a-0dae62168947 · outbound
Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility A watermark for large language models
Reference 18
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Unavailable: canonical work link unavailable.
Observation 83693d5c-fe35-41d8-b6a4-f7162216ad46 · outbound
Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility Cognitive load theory: Implications of cognitive load theory on the design of learning, 2002
Reference 19
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Unavailable: canonical work link unavailable.
Observation b3f56040-ae71-4e46-b4ef-42c435d81079 · outbound
Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility From generation to judgment: Opportunities and challenges of llm-as-a-judge
Reference 20
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Observation 8449e01e-aa63-4b20-8a6f-bbb5e3be80fd · outbound
Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility Doge: Defensive output generation for llm protection against knowledge distillation
Reference 21
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Unavailable: canonical work link unavailable.
Observation 6f706172-0d5c-4c1f-8fe0-f961200aebdd · outbound
Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility Graykd: Distilling better knowledge from black-box llm via multi-rationale injection
Reference 22
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Unavailable: canonical work link unavailable.
Observation 2e4b83ff-1baf-4337-b554-96b9bae125e5 · outbound
Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility DeepSeek-V3 Technical Report
Reference 23
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Unavailable: canonical work link unavailable.
Observation a34e73b1-325d-49a9-8ae5-2868bbf36c10 · outbound
Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility G-eval: Nlg evaluation using gpt-4 with better human alignment
Reference 24
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Observation b879348e-e025-4a06-af33-0f8d197e66c6 · outbound
Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility Cognitive load theory and instructional design: Recent developments.Educational psychologist, 38(1):1–4, 2003
Reference 25
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Unavailable: canonical work link unavailable.
Observation 4795072b-e283-47ff-ad5d-7c77084060c5 · outbound
Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility Antidistillation sampling
Reference 26
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Unavailable: canonical work link unavailable.
Observation a34fec2e-0e15-400e-b9b3-7cde07d8c685 · outbound
Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility OpenAI GPT-5 System Card
Reference 27
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Unavailable: canonical work link unavailable.
Observation e012ddc6-3445-475e-886d-b68710f18e04 · outbound
Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility Cognitive load during problem solving: Effects on learning.Cognitive science, 12(2):257–285, 1988
Reference 28
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Unavailable: canonical work link unavailable.
Observation 054ad257-79f6-4e38-995a-2e85e25b4298 · outbound
Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility Cognitive load theory, learning difficulty, and instructional design.Learning and instruction, 4(4):295–312, 1994
Reference 29
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Unavailable: canonical work link unavailable.
Observation c2e226aa-481c-4ffe-b175-c4c638973f5b · outbound
Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility Cognitive load theory
Reference 30
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Unavailable: canonical work link unavailable.
Observation eec89ad8-4e49-408a-82f7-e1e47d9c372c · outbound
Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility Cognitive architecture and instructional design.Educational psychology review, 10(3):251–296, 1998
Reference 31
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Unavailable: canonical work link unavailable.
Observation 9534eab3-6bab-492d-98d7-bb056d86198e · outbound
Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility Stanford alpaca: An instruction-following llama model, 2023
Reference 32
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Unavailable: canonical work link unavailable.
Observation 6ae6023b-7bb3-4441-9584-56729f48151e · outbound
Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility Do Large Language Model Benchmarks Test Reliability?
Reference 33
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Unavailable: canonical work link unavailable.
Observation ba37c400-987c-412b-be61-d8a39ad98de3 · outbound
Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility Poisoning language models during instruction tuning
Reference 34
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Observation 5a662f81-550a-4490-af30-bc74e4975d0c · outbound
Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility Abkd: Pursuing a proper allocation of the probability mass in knowledge distillation via α-β-divergence
Reference 35
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Observation a846d2e3-72c3-4a44-8520-fb3979064ab0 · outbound
Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility Mmlu-pro: A more robust and challenging multi-task language understanding benchmark.NeurIPS, 37:95266–95290, 2024
Reference 36
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Observation 9e92c5b3-355c-4af8-9bfb-aad5e3ebca14 · outbound
Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility F-divergence minimization for sequence-level knowledge distillation
Reference 37
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Observation deaba160-8398-471f-bdec-0002a3a0fcbf · outbound
Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility Trl: transformer reinforcement learning.GitHub
Reference 38
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Observation 333add56-81d1-47e6-be8f-eee5d77f4e46 · outbound
Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility Transformers: State-of- the-art natural language processing
Reference 39
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Unavailable: canonical work link unavailable.
Observation 7e7d10f0-4c86-45ba-9389-9ea94e93976d · outbound
Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility Instructional fingerprinting of large language models
Reference 40
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Unavailable: canonical work link unavailable.
Observation e29b6dba-d60e-40c4-9b96-1ad4f5346f64 · outbound
Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility Qwen2.5 Technical Report
Reference 41
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Unavailable: canonical work link unavailable.
Observation f3e92b0b-5b10-4d82-8051-ba25d8de8db1 · outbound
Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility Qwen3 Technical Report
Reference 42
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Observation 6a18f4fe-51ea-4fc4-a717-7fe592c93c43 · outbound
Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility Securing large language models: A survey of watermarking and fingerprinting techniques
Reference 43
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Observation 5e76530d-a0ee-4884-841a-08e98468f5c3 · outbound
Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility Improve llm-as-a-judge ability as a general ability
Reference 44
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Unavailable: canonical work link unavailable.
Observation 935d3fad-f736-4bd6-89ee-53003669fcb0 · outbound
Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility steps": [ {
Reference 45
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No inbound Pith citation observations are available.