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Paper Citation Record · LEDGER

Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility

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.

pith.paper-citation-record.v1
2607.20440 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T14:19:39.453702Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

45 of 45 outbound references displayed

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Outbound references

Observation e6d3a7fa-8bf5-4f82-b2fc-45968833a03b · outbound

This paper cites GPT-4 Technical Report.

Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility GPT-4 Technical Report

Reference 1

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source=pdf_text observed=2026-08-02T14:19:35.354577Z digest=sha256:66fc9bd52ac89c8daec4eac0e5d1daae3b378bdf219f0d3ef10261fbafd52238

Observation 1dc98b2d-055b-47ed-975c-f3da0f1d276b · outbound

This paper cites On-policy distillation of language models: Learning from self-generated mistakes.

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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source=pdf_text observed=2026-08-02T14:19:35.466922Z digest=sha256:0cc1e225fbbe9197da308e16bdc72bc4907e57e68141118e2b175a76798ea7a7

Observation 2594b9d2-755d-4d0e-885f-d46c09d55c77 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

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

This paper cites Knowledge distillation: A survey.IJCV, 129(6):1789–1819, 2021.

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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source=pdf_text observed=2026-08-02T14:19:35.793514Z digest=sha256:27976375bc761e6387ca30ede1ab54b5df876469fd8a5bbf97f117af267bcc2e

Observation 6e4a5f54-cbed-4fa2-81b1-8273a352cf10 · outbound

This paper cites The Llama 3 Herd of Models.

Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility The Llama 3 Herd of Models

Reference 5

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source=pdf_text observed=2026-08-02T14:19:35.981953Z digest=sha256:f1657d1f538bfa7a8edac4f59e794bff3cb5fb5e8a0643c29c3b438ae219713e

Observation fb7c27ed-89f1-43e4-ac59-e76c4764d945 · outbound

This paper cites Watermarking Pre-trained Language Models with Backdooring.

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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source=pdf_text observed=2026-08-02T14:19:36.147773Z digest=sha256:8ed80302568c428cdfd4e1707ee14a4bdef7b1a593e448cdb343dcf30521d7ec

Observation 45e021c5-29c2-42b7-9ff2-a604ceb1019e · outbound

This paper cites Minillm: Knowledge distillation of large language models.

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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source=pdf_text observed=2026-08-02T14:19:36.295466Z digest=sha256:b7fb7ee0c036a86c3c86e4e1a7dc202b2936d7413ece7339d0bc3d68eeb15135

Observation 21d37035-aa95-47ab-96a3-aa63f2e2ea64 · outbound

This paper cites Accelerate: training and inference at scale made simple, efficient and adaptable.URL: https://github.

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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source=pdf_text observed=2026-08-02T14:19:36.434673Z digest=sha256:2233e13badd320032232ff01540fbc0bca8f4091cc14050916d3585597d57e1f

Observation 1974df22-871e-403a-b684-6eae4f1373a7 · outbound

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

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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source=pdf_text observed=2026-08-02T14:19:36.534173Z digest=sha256:b6cd1d28f13144d40aae497cd8503a8e77bca1ea4e300abf89ac823000a4dbf7

Observation 5697e547-c61a-464e-a6a9-b2287a40989c · outbound

This paper cites Protecting intellectual property of language generation apis with lexical watermark.

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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source=pdf_text observed=2026-08-02T14:19:36.596066Z digest=sha256:4f67ed64b1c316f0a418cdd1770089f7cbe3c175a28c70fa8ab613a6e2131e9a

Observation a7388bfb-3ba6-4255-b954-2a06611fa9fe · outbound

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

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

This paper cites Distilling the Knowledge in a Neural Network.

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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source=pdf_text observed=2026-08-02T14:19:36.718382Z digest=sha256:69ec46cd32dc855aaf8b739238dc222a295600cb8c442938066afd208e7e13c5

Observation bc9489c7-37d6-4751-98fd-8465de449760 · outbound

This paper cites Large language models are reasoning teachers.

Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility Large language models are reasoning teachers

Reference 13

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source=pdf_text observed=2026-08-02T14:19:36.794013Z digest=sha256:2786de46d98f268fdc45ff51b8597c31929e5736d823c77b8adb19e948762731

Observation 99511333-82eb-4422-90f2-c79f1bef8abd · outbound

This paper cites Distilling step-by-step! outperforming larger language models with less training data and smaller model sizes.

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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source=pdf_text observed=2026-08-02T14:19:36.861692Z digest=sha256:7e0c7d5c043f12d389069f44f395af37db8c2b3314ad7d9661865b98217f19a7

Observation fae023bc-6652-431e-90db-8ee2695d7cf8 · outbound

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

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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source=pdf_text observed=2026-08-02T14:19:36.911225Z digest=sha256:be1a74e0c51339aca00fa8bbb0a63e29b6b39a295270cfc4f49d83e58c39c939

Observation 85e1c8a1-a8c1-42a3-846c-4f1a43e5a8c3 · outbound

This paper cites Gemma 3 Technical Report.

Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility Gemma 3 Technical Report

Reference 16

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source=pdf_text observed=2026-08-02T14:19:36.955218Z digest=sha256:e17ada7580035e117f49707c7a50d08294a49a465b46747cc0e04daa468f7aff

Observation 967648da-4aae-4606-baad-dc01ec25064c · outbound

This paper cites Sequence-level knowledge distillation.

Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility Sequence-level knowledge distillation

Reference 17

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source=pdf_text observed=2026-08-02T14:19:37.016276Z digest=sha256:a4591a081eecc24e87b3a33277794d1da8724dc9cd9a52b8c7e36134ccbd0ca6

Observation 8fb3cf0e-114f-4096-886a-0dae62168947 · outbound

This paper cites A watermark for large language models.

Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility A watermark for large language models

Reference 18

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source=pdf_text observed=2026-08-02T14:19:37.078105Z digest=sha256:3eaa1be2562856931b49ff4344dd4a7299aa71002e8193d2fd6dc7aece2944b4

Observation 83693d5c-fe35-41d8-b6a4-f7162216ad46 · outbound

This paper cites Cognitive load theory: Implications of cognitive load theory on the design of learning, 2002.

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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source=pdf_text observed=2026-08-02T14:19:37.128879Z digest=sha256:13fad7c56329d0418c519c312406ac418cba852bc73198d875603f26de1e2ed7

Observation b3f56040-ae71-4e46-b4ef-42c435d81079 · outbound

This paper cites From generation to judgment: Opportunities and challenges of llm-as-a-judge.

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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source=pdf_text observed=2026-08-02T14:19:37.181416Z digest=sha256:a810113ab8b1447858addc5328db8b2fcb8deba8af1d8b530a6dd95dc0319235

Observation 8449e01e-aa63-4b20-8a6f-bbb5e3be80fd · outbound

This paper cites Doge: Defensive output generation for llm protection against knowledge distillation.

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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source=pdf_text observed=2026-08-02T14:19:37.232373Z digest=sha256:ff18dfafe9b872e3687fb70c6347f076fea81bd5a16c3030fe47f12b0de3b838

Observation 6f706172-0d5c-4c1f-8fe0-f961200aebdd · outbound

This paper cites Graykd: Distilling better knowledge from black-box llm via multi-rationale injection.

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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source=pdf_text observed=2026-08-02T14:19:37.306420Z digest=sha256:8ddae7752a6c5777d8d9456b00b38a4aca4111229e4378e4ba561f983ffb7c21

Observation 2e4b83ff-1baf-4337-b554-96b9bae125e5 · outbound

This paper cites DeepSeek-V3 Technical Report.

Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility DeepSeek-V3 Technical Report

Reference 23

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source=pdf_text observed=2026-08-02T14:19:37.420303Z digest=sha256:4e01c1cbdc63316de640b92a3ac2a97d71e1236216339a6ee62c9e30ebdf6fda

Observation a34e73b1-325d-49a9-8ae5-2868bbf36c10 · outbound

This paper cites G-eval: Nlg evaluation using gpt-4 with better human alignment.

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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source=pdf_text observed=2026-08-02T14:19:37.475079Z digest=sha256:b527a18d34d8b407b03a9e5e014d8dee1c3c54fbc6caf51f0fd62df8c8be56af

Observation b879348e-e025-4a06-af33-0f8d197e66c6 · outbound

This paper cites Cognitive load theory and instructional design: Recent developments.Educational psychologist, 38(1):1–4, 2003.

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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source=pdf_text observed=2026-08-02T14:19:37.557868Z digest=sha256:dce1ff2c1b93de3a6368db4e800865decac0a32dab9238a153a7c5e313597173

Observation 4795072b-e283-47ff-ad5d-7c77084060c5 · outbound

This paper cites Antidistillation sampling.

Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility Antidistillation sampling

Reference 26

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source=pdf_text observed=2026-08-02T14:19:37.613377Z digest=sha256:07b846a2905a6761e74559423f03034372bd49d1f906a031c77fa2973719dee1

Observation a34fec2e-0e15-400e-b9b3-7cde07d8c685 · outbound

This paper cites OpenAI GPT-5 System Card.

Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility OpenAI GPT-5 System Card

Reference 27

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source=pdf_text observed=2026-08-02T14:19:37.691032Z digest=sha256:43b58d829c8b463a08304e65149fffcb92e99abb374318e0c561e19ea41ad21b

Observation e012ddc6-3445-475e-886d-b68710f18e04 · outbound

This paper cites Cognitive load during problem solving: Effects on learning.Cognitive science, 12(2):257–285, 1988.

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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source=pdf_text observed=2026-08-02T14:19:37.736088Z digest=sha256:f604bfde2e5ae9a5bfd7e9c75eb66815f2155f230aad1e18a929adc6edd935bb

Observation 054ad257-79f6-4e38-995a-2e85e25b4298 · outbound

This paper cites Cognitive load theory, learning difficulty, and instructional design.Learning and instruction, 4(4):295–312, 1994.

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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source=pdf_text observed=2026-08-02T14:19:37.803283Z digest=sha256:07133b685eaad16f2d97fdabed6c27ac5e52801d19c8a362a81d090412bd87ee

Observation c2e226aa-481c-4ffe-b175-c4c638973f5b · outbound

This paper cites Cognitive load theory.

Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility Cognitive load theory

Reference 30

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source=pdf_text observed=2026-08-02T14:19:37.898092Z digest=sha256:bd5ee62309e11255148bdede215bfe0108fbcc6e26af6c79cd1403ae71136c6b

Observation eec89ad8-4e49-408a-82f7-e1e47d9c372c · outbound

This paper cites Cognitive architecture and instructional design.Educational psychology review, 10(3):251–296, 1998.

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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source=pdf_text observed=2026-08-02T14:19:38.016280Z digest=sha256:704a74815f265b792fc14fd9d1a44db15f687c4a14a8c44ab44cdbbdb0e5ff9d

Observation 9534eab3-6bab-492d-98d7-bb056d86198e · outbound

This paper cites Stanford alpaca: An instruction-following llama model, 2023.

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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Observation 6ae6023b-7bb3-4441-9584-56729f48151e · outbound

This paper cites Do Large Language Model Benchmarks Test Reliability?.

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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source=pdf_text observed=2026-08-02T14:19:38.247606Z digest=sha256:bad12b8a10803a04a145d8983bbf3995ae18c8293f88c5429d3b84d59001e0e9

Observation ba37c400-987c-412b-be61-d8a39ad98de3 · outbound

This paper cites Poisoning language models during instruction tuning.

Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility Poisoning language models during instruction tuning

Reference 34

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source=pdf_text observed=2026-08-02T14:19:38.370648Z digest=sha256:467538e5a5ece5da24cbf1b4cc8b3d2e96ca2a525a34baab9cddc4efdae9f9a6

Observation 5a662f81-550a-4490-af30-bc74e4975d0c · outbound

This paper cites Abkd: Pursuing a proper allocation of the probability mass in knowledge distillation via α-β-divergence.

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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source=pdf_text observed=2026-08-02T14:19:38.463108Z digest=sha256:a76bbed23e60338407db533081cec94f301297ebfdfcffa50f3a011524ca9d1d

Observation a846d2e3-72c3-4a44-8520-fb3979064ab0 · outbound

This paper cites Mmlu-pro: A more robust and challenging multi-task language understanding benchmark.NeurIPS, 37:95266–95290, 2024.

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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source=pdf_text observed=2026-08-02T14:19:38.566436Z digest=sha256:358ecf60e507a202a48b10333573780617f29d6ea630bf51435f80628a754fe9

Observation 9e92c5b3-355c-4af8-9bfb-aad5e3ebca14 · outbound

This paper cites F-divergence minimization for sequence-level knowledge distillation.

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:19:38.653736Z digest=sha256:cefdbd43da88b41ebdc9504e693a1d6ede155f483c94bd218d6fcf9b784e8f57

Observation deaba160-8398-471f-bdec-0002a3a0fcbf · outbound

This paper cites Trl: transformer reinforcement learning.GitHub.

Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility Trl: transformer reinforcement learning.GitHub

Reference 38

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source=pdf_text observed=2026-08-02T14:19:38.708467Z digest=sha256:fb0f47f42368c11d8d2945ae9bef5de978411717fc2afc3f4e27f7b0498fd309

Observation 333add56-81d1-47e6-be8f-eee5d77f4e46 · outbound

This paper cites Transformers: State-of- the-art natural language processing.

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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source=pdf_text observed=2026-08-02T14:19:38.806579Z digest=sha256:7a9653a0fcf756b43bd57d760b547d1e25680281a75f547981c2a06e6844e058

Observation 7e7d10f0-4c86-45ba-9389-9ea94e93976d · outbound

This paper cites Instructional fingerprinting of large language models.

Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility Instructional fingerprinting of large language models

Reference 40

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source=pdf_text observed=2026-08-02T14:19:38.956385Z digest=sha256:75a3ccf5519fc16e9728ff7c7238086d8b620213a62f80de9bca618f3c661cea

Observation e29b6dba-d60e-40c4-9b96-1ad4f5346f64 · outbound

This paper cites Qwen2.5 Technical Report.

Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility Qwen2.5 Technical Report

Reference 41

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source=pdf_text observed=2026-08-02T14:19:39.043999Z digest=sha256:cb3a6dc1e33fd635632fdd83f9f7bd3e4ea68c6232d18724ead3208799e6ee1e

Observation f3e92b0b-5b10-4d82-8051-ba25d8de8db1 · outbound

This paper cites Qwen3 Technical Report.

Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility Qwen3 Technical Report

Reference 42

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source=pdf_text observed=2026-08-02T14:19:39.169267Z digest=sha256:720f341b007cd17b21fff8c0b5239dec70f03e7f559167862d320df61d08bdb3

Observation 6a18f4fe-51ea-4fc4-a717-7fe592c93c43 · outbound

This paper cites Securing large language models: A survey of watermarking and fingerprinting techniques.

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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source=pdf_text observed=2026-08-02T14:19:39.271311Z digest=sha256:01360ad8d4cf8ddc8d7735458fda1db4efae70e4645765c5e6a1beef9b2c7143

Observation 5e76530d-a0ee-4884-841a-08e98468f5c3 · outbound

This paper cites Improve llm-as-a-judge ability as a general ability.

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:19:39.376517Z digest=sha256:51b2d4392094a8c1ac8ab443c5ea24f1b2b077a9347c256c198a262496f6c0be

Observation 935d3fad-f736-4bd6-89ee-53003669fcb0 · outbound

This paper cites steps": [ {.

Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility steps": [ {

Reference 45

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source=pdf_text observed=2026-08-02T14:19:39.453702Z digest=sha256:60912a3a77f2561cda5872567bf217a22d81dc8da303c1513d3e95ab75467159

Pith citing papers

No inbound Pith citation observations are available.