Paper Citation Record · LEDGER

Reference-Based Distillation Detection in LLMs

As of 14 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2607.09692.

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

pith.paper-citation-record.v1
2607.09692 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T17:39:28.270033Z

measured 44 of 44 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 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

44 of 44 outbound references displayed

verified exact0
verified fuzzy0
unresolved42
parse uncertain1
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d76ad7f8-fcbf-4195-ab59-a9048ad77e47 · outbound

This paper cites Phi-4 Technical Report.

Reference-Based Distillation Detection in LLMs Phi-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-14T17:39:28.270033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5970775b-7057-4cc8-bbcc-4d945951f6cc · outbound

This paper cites Which models are our models built on? auditing invisible dependencies in modern llms, 2026.

Reference-Based Distillation Detection in LLMs Which models are our models built on? auditing invisible dependencies in modern llms, 2026

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-14T17:39:28.270033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1faad178-0938-4f26-8ba3-c43461fcc06d · outbound

This paper cites Detecting and preventing distillation attacks, 2026.

Reference-Based Distillation Detection in LLMs Detecting and preventing distillation attacks, 2026

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-14T17:39:28.270033Z

Source-reported events for the cited work

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Observation f6cd8d97-b983-4d92-bcf9-d4ed9416203e · outbound

This paper cites Program Synthesis with Large Language Models.

Reference-Based Distillation Detection in LLMs Program Synthesis with Large Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-14T17:39:28.270033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a15e8bc1-8da6-4b8d-9592-330ba2650646 · outbound

This paper cites Membership inference attacks from first principles.

Reference-Based Distillation Detection in LLMs Membership inference attacks from first principles

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-14T17:39:28.270033Z

Source-reported events for the cited work

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Observation 37a97019-c0d8-440a-aa88-974cab6f0e59 · outbound

This paper cites Gemma 3 Technical Report.

Reference-Based Distillation Detection in LLMs Gemma 3 Technical Report

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-14T17:39:28.270033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0e9c82c-6478-4558-b997-c6920ab38969 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Reference-Based Distillation Detection in LLMs Distilling the Knowledge in a Neural Network

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-14T17:39:28.270033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93c7e656-032b-42d0-a989-77ad79c759a4 · outbound

This paper cites Tinybert: Distilling bert for natural language understanding.

Reference-Based Distillation Detection in LLMs Tinybert: Distilling bert for natural language understanding

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-14T17:39:28.270033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53313ad5-dedb-46cf-bc09-19f13b44fe51 · outbound

This paper cites Sequence-level knowledge distillation.

Reference-Based Distillation Detection in LLMs Sequence-level knowledge distillation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-14T17:39:28.270033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c533d09-9a9a-4814-a71c-dbd3ee9a2b11 · outbound

This paper cites LLM Dataset Inference: Did you train on my dataset?.

Reference-Based Distillation Detection in LLMs LLM Dataset Inference: Did you train on my dataset?

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-14T17:39:28.270033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 115a46d1-fadc-41c3-9c63-994fbc51896e · outbound

This paper cites meta-llama/llama-3.2-3b-instruct.

Reference-Based Distillation Detection in LLMs meta-llama/llama-3.2-3b-instruct

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-14T17:39:28.270033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55571ed7-61f6-48ab-9930-45e4a8cacda4 · outbound

This paper cites Llama 3.3 | model cards and prompt formats.

Reference-Based Distillation Detection in LLMs Llama 3.3 | model cards and prompt formats

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-14T17:39:28.270033Z

Source-reported events for the cited work

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Observation 979feb57-f6ac-427e-bf39-3168a3481b92 · outbound

This paper cites s1: Simple test-time scaling.

Reference-Based Distillation Detection in LLMs s1: Simple test-time scaling

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-14T17:39:28.270033Z

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Observation 591b0ef8-e65d-45d3-b57d-edb3978fe2d4 · outbound

This paper cites Google says attackers used 100,000+ prompts to try to clone ai chatbot gemini, 2026.

Reference-Based Distillation Detection in LLMs Google says attackers used 100,000+ prompts to try to clone ai chatbot gemini, 2026

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-14T17:39:28.270033Z

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Unavailable: canonical work link unavailable.

Observation 1392f855-995b-494a-867d-86f05367f7d3 · outbound

This paper cites gpt-oss-120b & gpt-oss-20b Model Card.

Reference-Based Distillation Detection in LLMs gpt-oss-120b & gpt-oss-20b Model Card

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-14T17:39:28.270033Z

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Observation b5641b17-97c5-4184-ba69-352b17a25db6 · outbound

This paper cites Can LLM Watermarks Robustly Prevent Unauthorized Knowledge Distillation?.

Reference-Based Distillation Detection in LLMs Can LLM Watermarks Robustly Prevent Unauthorized Knowledge Distillation?

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-14T17:39:28.270033Z

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Observation 8d1e43ea-a812-4d20-8a02-3f5d141a31c2 · outbound

This paper cites From prompt to clone: Copyright challenges in ai model distillation.UC Law Science and Technology Journal, 17(1):49, 2026.

Reference-Based Distillation Detection in LLMs From prompt to clone: Copyright challenges in ai model distillation.UC Law Science and Technology Journal, 17(1):49, 2026

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-14T17:39:28.270033Z

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Observation e295687d-2f8f-47b0-b80d-0340cd979ca5 · outbound

This paper cites Qwen3 Technical Report.

Reference-Based Distillation Detection in LLMs Qwen3 Technical Report

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-14T17:39:28.270033Z

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Observation 541cae17-58c4-4ba5-a2f5-bfed3a817705 · outbound

This paper cites Qwen2.5 Technical Report.

Reference-Based Distillation Detection in LLMs Qwen2.5 Technical Report

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-14T17:39:28.270033Z

Source-reported events for the cited work

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Observation 459fa7d6-f02e-4e9c-bdd1-1a3b90039bba · outbound

This paper cites Watermarking Makes Language Models Radioactive.

Reference-Based Distillation Detection in LLMs Watermarking Makes Language Models Radioactive

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-14T17:39:28.270033Z

Source-reported events for the cited work

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Observation a5d1adea-ee62-4002-a582-740c50f2806f · outbound

This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.

Reference-Based Distillation Detection in LLMs DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-14T17:39:28.270033Z

Source-reported events for the cited work

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Observation 07a8b1d2-5464-406c-ab76-c7fd929f9eab · outbound

This paper cites Openai says china’s deepseek trained its ai by distilling us models, memo shows, 2026.

Reference-Based Distillation Detection in LLMs Openai says china’s deepseek trained its ai by distilling us models, memo shows, 2026

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-14T17:39:28.270033Z

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Unavailable: canonical work link unavailable.

Observation 1722c3bc-54fe-40d7-a685-4603d537644d · outbound

This paper cites Knowledge distillation detection for open-weights models.arXiv preprint arXiv:2510.02302, 2025.

Reference-Based Distillation Detection in LLMs Knowledge distillation detection for open-weights models.arXiv preprint arXiv:2510.02302, 2025

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-14T17:39:28.270033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2356f9a9-938d-4719-8e24-9e0135d5a209 · outbound

This paper cites Membership inference attacks against machine learning models.

Reference-Based Distillation Detection in LLMs Membership inference attacks against machine learning models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-14T17:39:28.270033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16826340-3716-4fd3-810b-51d716b212d3 · outbound

This paper cites Alpaca: A strong, replicable instruction- following model.Stanford Center for Research on F oundation Models.

Reference-Based Distillation Detection in LLMs Alpaca: A strong, replicable instruction- following model.Stanford Center for Research on F oundation Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-14T17:39:28.270033Z

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Observation 01e54eca-bba6-4f08-af3e-9248a4a268ac · outbound

This paper cites OpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source Instruction Data.

Reference-Based Distillation Detection in LLMs OpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source Instruction Data

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-14T17:39:28.270033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 356b5e7b-7b36-4468-86f2-28397185f434 · outbound

This paper cites Self-Instruct: Aligning Language Models with Self-Generated Instructions.

Reference-Based Distillation Detection in LLMs Self-Instruct: Aligning Language Models with Self-Generated Instructions

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-14T17:39:28.270033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8327fede-31b1-472c-9738-a8eee14090ad · outbound

This paper cites On the Importance of Difficulty Calibration in Membership Inference Attacks.

Reference-Based Distillation Detection in LLMs On the Importance of Difficulty Calibration in Membership Inference Attacks

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-14T17:39:28.270033Z

Source-reported events for the cited work

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Observation 4c18ef0c-9c17-472f-b136-48bc84c0e3df · outbound

This paper cites Training Data Provenance Verification: Did Your Model Use Synthetic Data from My Generative Model for Training?.

Reference-Based Distillation Detection in LLMs Training Data Provenance Verification: Did Your Model Use Synthetic Data from My Generative Model for Training?

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-14T17:39:28.270033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8483a5d1-2262-4f66-af3c-70d26b569166 · outbound

This paper cites Detecting Distillation Data from Reasoning Models.

Reference-Based Distillation Detection in LLMs Detecting Distillation Data from Reasoning Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-14T17:39:28.270033Z

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Observation 78d0a808-25b5-4a27-a771-eb1ad4c971f8 · outbound

This paper cites Training Data Attribution: Was Your Model Secretly Trained On Data Created By Mine?.

Reference-Based Distillation Detection in LLMs Training Data Attribution: Was Your Model Secretly Trained On Data Created By Mine?

Reference 31

Resolution: unresolved; no resolver link, observed 2026-07-14T17:39:28.270033Z

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Observation 3f6d2560-d955-41fe-847b-1c1e3e6d242e · outbound

This paper cites This was the default setting in our main experiments.

Reference-Based Distillation Detection in LLMs This was the default setting in our main experiments

Reference 32

Resolution: unresolved; no resolver link, observed 2026-07-14T17:39:28.270033Z

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Observation 3ea47abe-1fdd-48e7-819c-cbf242ff2134 · outbound

This paper cites an unresolved cited work.

Reference-Based Distillation Detection in LLMs Unresolved cited work

Reference 33

Resolution: malformed identifier; no resolver link, observed 2026-07-14T17:39:28.270033Z

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Observation 60c27a43-635d-453e-85a0-0c4afa2a2123 · outbound

This paper cites 0 20 40 60 80 100 Percentile 0.0 0.2 0.4 0.6 0.8 1.0Score Prompts: s1 0 20 40 60 80 100 Percentile Prompts: OMI Ranked by mean score.

Reference-Based Distillation Detection in LLMs 0 20 40 60 80 100 Percentile 0.0 0.2 0.4 0.6 0.8 1.0Score Prompts: s1 0 20 40 60 80 100 Percentile Prompts: OMI Ranked by mean score

Reference 34

Resolution: unresolved; no resolver link, observed 2026-07-14T17:39:28.270033Z

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Observation 21291fbc-42de-4753-ab0f-b2fff2a5d1ce · outbound

This paper cites 22 0 20 40 60 80 100 Percentile 0.0 0.2 0.4 0.6 0.8 1.0Score Prompts: s1 0 20 40 60 80 100 Percentile Prompts: OMI Ranked by mean score.

Reference-Based Distillation Detection in LLMs 22 0 20 40 60 80 100 Percentile 0.0 0.2 0.4 0.6 0.8 1.0Score Prompts: s1 0 20 40 60 80 100 Percentile Prompts: OMI Ranked by mean score

Reference 36

Resolution: unresolved; no resolver link, observed 2026-07-14T17:39:28.270033Z

Source-reported events for the cited work

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Observation f4d7d817-7d43-4d16-808b-09fbbcb9095c · outbound

This paper cites 0 20 40 60 80 100 Percentile 0.0 0.2 0.4 0.6 0.8 1.0Score Prompts: s1 0 20 40 60 80 100 Percentile Prompts: OMI Ranked by mean score.

Reference-Based Distillation Detection in LLMs 0 20 40 60 80 100 Percentile 0.0 0.2 0.4 0.6 0.8 1.0Score Prompts: s1 0 20 40 60 80 100 Percentile Prompts: OMI Ranked by mean score

Reference 38

Resolution: unresolved; no resolver link, observed 2026-07-14T17:39:28.270033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a12328d-cf2c-47bc-84ac-c1995e89cba5 · outbound

This paper cites 0 20 40 60 80 100 Percentile 0.0 0.2 0.4 0.6 0.8 1.0Score Prompts: s1 0 20 40 60 80 100 Percentile Prompts: OMI Ranked by mean score.

Reference-Based Distillation Detection in LLMs 0 20 40 60 80 100 Percentile 0.0 0.2 0.4 0.6 0.8 1.0Score Prompts: s1 0 20 40 60 80 100 Percentile Prompts: OMI Ranked by mean score

Reference 40

Resolution: unresolved; no resolver link, observed 2026-07-14T17:39:28.270033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a8f297f-ab81-4a15-a072-2bc8327e9396 · outbound

This paper cites 23 0 20 40 60 80 100 Percentile 0.0 0.2 0.4 0.6 0.8 1.0Score Prompts: s1 0 20 40 60 80 100 Percentile Prompts: OMI Ranked by mean score.

Reference-Based Distillation Detection in LLMs 23 0 20 40 60 80 100 Percentile 0.0 0.2 0.4 0.6 0.8 1.0Score Prompts: s1 0 20 40 60 80 100 Percentile Prompts: OMI Ranked by mean score

Reference 42

Resolution: unresolved; no resolver link, observed 2026-07-14T17:39:28.270033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 079d8a9f-1f6c-4935-8e67-2543b6b66904 · outbound

This paper cites 0 20 40 60 80 100 Percentile 0.0 0.2 0.4 0.6 0.8 1.0Score Prompts: s1 0 20 40 60 80 100 Percentile Prompts: OMI Ranked by mean score.

Reference-Based Distillation Detection in LLMs 0 20 40 60 80 100 Percentile 0.0 0.2 0.4 0.6 0.8 1.0Score Prompts: s1 0 20 40 60 80 100 Percentile Prompts: OMI Ranked by mean score

Reference 43

Resolution: unresolved; no resolver link, observed 2026-07-14T17:39:28.270033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38ca7e0c-5109-4dcc-86bb-ca1db18d5ee6 · outbound

This paper cites Llama CoT.

Reference-Based Distillation Detection in LLMs Llama CoT

Reference 45

Resolution: unresolved; no resolver link, observed 2026-07-14T17:39:28.270033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e57b3c8-a2c2-47de-837b-7ff641bea649 · outbound

This paper cites 26 0 20 40 60 80 100 Percentile 0.0 0.2 0.4 0.6 0.8 1.0Score GPT-OSS-20B 0 20 40 60 80 100 Percentile GPT-OSS-120B Ranked by mean score.

Reference-Based Distillation Detection in LLMs 26 0 20 40 60 80 100 Percentile 0.0 0.2 0.4 0.6 0.8 1.0Score GPT-OSS-20B 0 20 40 60 80 100 Percentile GPT-OSS-120B Ranked by mean score

Reference 47

Resolution: unresolved; no resolver link, observed 2026-07-14T17:39:28.270033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 352af8f8-74b1-4dc7-9fc9-de525a2f5dbc · outbound

This paper cites 0 20 40 60 80 100 Percentile 0.0 0.2 0.4 0.6 0.8 1.0Score GPT-OSS-20B 0 20 40 60 80 100 Percentile Unicode ASCII GPT-OSS-120B Ranked by mean score.

Reference-Based Distillation Detection in LLMs 0 20 40 60 80 100 Percentile 0.0 0.2 0.4 0.6 0.8 1.0Score GPT-OSS-20B 0 20 40 60 80 100 Percentile Unicode ASCII GPT-OSS-120B Ranked by mean score

Reference 49

Resolution: unresolved; no resolver link, observed 2026-07-14T17:39:28.270033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7325835-9e34-4a10-a676-cb36e91cbe58 · outbound

This paper cites an unresolved cited work.

Reference-Based Distillation Detection in LLMs Unresolved cited work

Reference 50

Resolution: parse uncertain; no resolver link, observed 2026-07-14T17:39:28.270033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ada5ecce-059e-4f08-807d-184d8db9f60d · outbound

This paper cites Target Reference Probeδ Uni−ASCII [95% CI] TestpSig.

Reference-Based Distillation Detection in LLMs Target Reference Probeδ Uni−ASCII [95% CI] TestpSig

Reference 51

Resolution: unresolved; no resolver link, observed 2026-07-14T17:39:28.270033Z

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Pith citing papers

No inbound Pith citation observations are available.