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Paper Citation Record · LEDGER

Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing

As of 23 August 2026, this Paper Citation Record lists 75 of 75 outbound references and 0 inbound Pith citation observations for arXiv:2607.20723.

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

pith.paper-citation-record.v1
2607.20723 v1

Coverage vector

measured 75 of 75 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T09:36:02.185670Z

measured 75 of 75 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

75 of 75 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved72
  • parse uncertain0
  • malformed identifier3
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9a850f0d-6b5d-4324-a5a0-8e0e3a606957 · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 1

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source=pdf_text observed=2026-08-01T09:35:51.657826Z digest=sha256:2965d8e515ac054d8c40beb11dcb36ca7a6b9b054eb397e48255ddab74b175a2

Observation 90576262-5da8-492d-ae7d-cb02bda79628 · outbound

This paper cites GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints.

Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints

Reference 3

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source=pdf_text observed=2026-08-01T09:35:51.939144Z digest=sha256:f63b41d4874870baf0f3dbf9abb919c75e56d954ce343028094e82818cc9f1d5

Observation 4206ba9c-d23f-4ae0-84e6-b3129ca4fe83 · outbound

This paper cites an unresolved cited work.

Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Unresolved cited work

Reference 4

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source=pdf_text observed=2026-08-01T09:35:52.099338Z digest=sha256:0dd860fb0c2c82bd3a54ff084c0566abb947805117ce75c0e48b37298e7c699a

Observation 5da48126-9546-414f-88a9-206877dac43f · outbound

This paper cites an unresolved cited work.

Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Unresolved cited work

Reference 5

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source=pdf_text observed=2026-08-01T09:35:52.253509Z digest=sha256:2598480e74db9e41287933e4f05342153ec16af6891eaf6db2cf97d433a3b3e4

Observation 86a27565-70d4-4762-980d-06c74fe6e9c8 · outbound

This paper cites 2019.{CSI}{ NN}: Reverse engineering of neural network architectures through electromagnetic side channel.

Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing 2019.{CSI}{ NN}: Reverse engineering of neural network architectures through electromagnetic side channel

Reference 6

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source=pdf_text observed=2026-08-01T09:35:52.382521Z digest=sha256:19a34014481cb68cb1967b78872f1df8ed084291413d5cb319b78fa728227e7a

Observation 529d8384-7001-4f9c-b503-3d4eb6bbac29 · outbound

This paper cites Speculative Streaming: Fast LLM Inference without Auxiliary Models.

Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Speculative Streaming: Fast LLM Inference without Auxiliary Models

Reference 7

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source=pdf_text observed=2026-08-01T09:35:52.548132Z digest=sha256:ebac6e54936a382d9c127a5179acaa8e4390899997aa7d0d43ca82bce4c43616

Observation caccdfe6-ebbb-43af-90b2-dea6b9caa215 · outbound

This paper cites Lee, Dem- ing Chen, and Tri Dao.

Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Lee, Dem- ing Chen, and Tri Dao

Reference 8

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source=pdf_text observed=2026-08-01T09:35:52.719770Z digest=sha256:ec87c8fb367233f41130abc2178ebbc0615eb54ea571195aac2cd7cb265eca69

Observation 959e44d2-7aa2-4c58-ad8d-8439cf284937 · outbound

This paper cites an unresolved cited work.

Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Unresolved cited work

Reference 9

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source=pdf_text observed=2026-08-01T09:35:52.857429Z digest=sha256:f9e26b4ca5b008f2b0cd028d36b80ac822887a4d3904f13ea7e0665ae8589bc8

Observation 81399209-2cc7-4d66-bced-21b68dbbf3c0 · outbound

This paper cites Remote Timing Attacks on Efficient Language Model Inference.

Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Remote Timing Attacks on Efficient Language Model Inference

Reference 10

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source=pdf_text observed=2026-08-01T09:35:52.980588Z digest=sha256:c78adb989673e216f5c18a6dd40a15ad4cda1e8d1735ef4c020d694c83bac809

Observation f0b31db0-06a1-4bfd-88c5-b84f210d869a · outbound

This paper cites Feder Cooper, Katherine Lee, Matthew Jagielski, Milad Nasr, Arthur Conmy, Eric Wallace, David Rolnick, and Florian Tramèr.

Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Feder Cooper, Katherine Lee, Matthew Jagielski, Milad Nasr, Arthur Conmy, Eric Wallace, David Rolnick, and Florian Tramèr

Reference 11

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source=pdf_text observed=2026-08-01T09:35:53.101665Z digest=sha256:4a4d58da17d9e1dabfceac26ce8db641dcc7a9037cfa16b9ce8b884afaf4c91a

Observation c94d5e88-c8a5-4908-b8f6-0da4127d6f8b · outbound

This paper cites Accelerating Large Language Model Decoding with Speculative Sampling.

Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Accelerating Large Language Model Decoding with Speculative Sampling

Reference 12

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source=pdf_text observed=2026-08-01T09:35:53.229418Z digest=sha256:77c0a60fbe38bbdd8a9c5730d036390789ece7abbab9825d1a06538187a37918

Observation ed3531fd-084b-497b-be3b-30f4b3ce0f2c · outbound

This paper cites an unresolved cited work.

Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Unresolved cited work

Reference 13

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source=pdf_text observed=2026-08-01T09:35:53.373190Z digest=sha256:c5ce7f45859091e54bc8d268bd51a9a728974a5723d5d47ea8a4692a51e43ac3

Observation c91311fc-c99d-4751-b233-5b0f3821ab70 · outbound

This paper cites Cascade Speculative Drafting for Even Faster LLM Inference.

Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Cascade Speculative Drafting for Even Faster LLM Inference

Reference 14

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source=pdf_text observed=2026-08-01T09:35:53.518187Z digest=sha256:d8fa21678c9402ec10897c25ababdf8e0197e87b4ef67d5645b1f4bab1edee14

Observation 5e5a8578-0338-4143-810d-e77a5a1a332a · outbound

This paper cites an unresolved cited work.

Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Unresolved cited work

Reference 15

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source=pdf_text observed=2026-08-01T09:35:53.715064Z digest=sha256:af51860b24366e3795bca327d4950660f456b03e8cd7be9549f2009941ddf038

Observation 2aa741b5-845d-4fc4-9cf7-9420d564c748 · outbound

This paper cites Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context.

Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context

Reference 16

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source=pdf_text observed=2026-08-01T09:35:53.820456Z digest=sha256:5468879c1fed1c79092c2ac8a1db5dcb2c7c55e75e0f2efea8a458715bb2069b

Observation 5660117a-f4f3-4bca-8bc9-9447207911ca · outbound

This paper cites FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning.

Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning

Reference 17

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source=pdf_text observed=2026-08-01T09:35:53.947348Z digest=sha256:e89d6f6c0abbb8d4251a5982c8013d8621e191964d745c871c2bb71b6dd48651

Observation 7756bed3-e220-4327-b7ea-ba7567e79dba · outbound

This paper cites FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness.

Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness

Reference 18

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source=pdf_text observed=2026-08-01T09:35:54.079800Z digest=sha256:d31724bdafbe0c9bb04aea2c222f4afe364ec47b989320dc4e0dfa9f4553a6f4

Observation ca44effc-5c2f-402e-98c7-b07bf6029e39 · outbound

This paper cites China is going to win the AI race.

Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing China is going to win the AI race

Reference 19

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source=pdf_text observed=2026-08-01T09:35:54.255995Z digest=sha256:d1ab5495c94b39634caa12fa2db8da407d8e2271a8e2d2c9253a5afef2021d1e

Observation f5262c9f-c3fd-4c4a-a79f-97b6d02f625a · outbound

This paper cites Stealing Neural Networks via Timing Side Channels.

Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Stealing Neural Networks via Timing Side Channels

Reference 20

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source=pdf_text observed=2026-08-01T09:35:54.400330Z digest=sha256:0621c46c4252649029eaca18f497c099059067d259cacd67ef158fd0d7a0d895

Observation fc54055f-99b7-42a7-bbb9-077cd289777e · outbound

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Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Unresolved cited work

Reference 21

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Observation 2fa0c712-650e-4afd-a248-f4a0e3da898a · outbound

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Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Unresolved cited work

Reference 22

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source=pdf_text observed=2026-08-01T09:35:54.709071Z digest=sha256:8c35a2aded51937c38564fb0995f6d568a06a142d7b59d15efa1d487205c1fe6

Observation 8418a902-9967-40c0-96a9-5d46519ab964 · outbound

This paper cites an unresolved cited work.

Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Unresolved cited work

Reference 23

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source=pdf_text observed=2026-08-01T09:35:54.810400Z digest=sha256:7588e97e957f27aec1fdc0d4a7bf9e9a8aa06a55e03f90e0973a402c00430d03

Observation 16078283-4456-4dce-a4a4-b46f06e3008d · outbound

This paper cites I Know What You Said: Unveiling Hardware Cache Side-Channels in Local Large Language Model Inference.

Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing I Know What You Said: Unveiling Hardware Cache Side-Channels in Local Large Language Model Inference

Reference 24

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source=pdf_text observed=2026-08-01T09:35:54.914643Z digest=sha256:20f9537a11013a1714283a9bdfac019df443b7331319c782eb84c0e82d9e3a1d

Observation 60d2bb7b-f698-49bd-903b-a3a2df515234 · outbound

This paper cites Auditing Prompt Caching in Language Model APIs.

Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Auditing Prompt Caching in Language Model APIs

Reference 25

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Observation 4ecd3061-f843-448b-a88c-ef5796540ebd · outbound

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Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Unresolved cited work

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source=pdf_text observed=2026-08-01T09:35:55.086637Z digest=sha256:1808d3acf181566064f2810080c0a881cf3cd0d82336fc3e3c6ce310d43148b6

Observation 493cec01-8afe-4a40-b611-2ad94cab703f · outbound

This paper cites Hennessy and David A.

Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Hennessy and David A

Reference 27

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Observation bfe93aff-46b4-47cd-8c88-fec044d4e161 · outbound

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Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Unresolved cited work

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Observation 9625c599-fe28-424b-aa55-1246f088a5e6 · outbound

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Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Unresolved cited work

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Observation e63cffaf-8873-491d-9031-3321d8d81d22 · outbound

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Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Unresolved cited work

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source=pdf_text observed=2026-08-01T09:35:55.390685Z digest=sha256:ccbd8c0d5f899dae21cd4d683f3350df443c4e1c10a5c0807f5b575984a6e5eb

Observation b4ab9a25-7e28-408b-882b-5c3fb2600f57 · outbound

This paper cites Aamodt, and Timothy G.

Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Aamodt, and Timothy G

Reference 31

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source=pdf_text observed=2026-08-01T09:35:55.457039Z digest=sha256:29e34d85e8c89814d71a62bcae9bed5ccd0bbfa1bb81eece20958207c2dfee88

Observation 1f63ef2a-4df9-43bf-8289-205ecace50e3 · outbound

This paper cites Mahoney, Amir Gholami, and Kurt Keutzer.

Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Mahoney, Amir Gholami, and Kurt Keutzer

Reference 32

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Observation 92e71f74-c143-40ff-ad35-312e13484678 · outbound

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Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Unresolved cited work

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Observation d5cd4850-53ea-4983-9d72-13b6d1b5c61f · outbound

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Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Unresolved cited work

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Observation ca0dc78b-6206-469c-ab36-7cd3ce7d080b · outbound

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Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Unresolved cited work

Reference 35

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source=pdf_text observed=2026-08-01T09:35:55.966381Z digest=sha256:5369cef801f398651e55f987d7c2598a39d8c2b55507d19fb008a364ba7765b4

Observation 00979975-ca78-4a01-bb7c-dcbf22fc1f10 · outbound

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Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Unresolved cited work

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Observation fd4cc1e6-8e17-4f6b-af90-ae1c13bcc145 · outbound

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Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Unresolved cited work

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source=pdf_text observed=2026-08-01T09:35:56.307522Z digest=sha256:3300a1bcc77c6d8f301e3117efa0cf0ab9f3914e752b0f3c2804429b21e2dd47

Observation 3abca5a6-1c3a-4c81-8597-e13bafc96597 · outbound

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Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Unresolved cited work

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Observation 122d0a5f-1620-4849-a34a-e6de1496ce01 · outbound

This paper cites Andes: Defining and Enhancing Quality-of-Experience in LLM-Based Text Streaming Services.

Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Andes: Defining and Enhancing Quality-of-Experience in LLM-Based Text Streaming Services

Reference 39

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Observation f2f81839-e2ea-47da-b6e9-50a1e88e4aa8 · outbound

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Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Unresolved cited work

Reference 40

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Observation 4b11976e-c228-42ad-94ea-ad73dc682418 · outbound

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Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Unresolved cited work

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Observation 7a851fe9-5cfb-46ad-8d70-6cf2f5476036 · outbound

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Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Unresolved cited work

Reference 42

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source=pdf_text observed=2026-08-01T09:35:57.107524Z digest=sha256:6e83670d1c306d2e9232abc32c003bc568dbb837a1233ce140085f6ec0a0f351

Observation d1c52ddb-5254-4f62-9903-676e74e36709 · outbound

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Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Unresolved cited work

Reference 43

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Observation 6c106b63-7709-415b-a7c1-89fd43715727 · outbound

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

Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing gpt-oss-120b & gpt-oss-20b Model Card

Reference 44

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Observation 9bb30132-fd9c-445b-a888-2db9ac401b05 · outbound

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Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Unresolved cited work

Reference 45

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Observation 3e0c4e50-8999-48f0-9df5-1c39d60135f3 · outbound

This paper cites Forecasting LLM Inference Performance via Hardware-Agnostic Analytical Modeling.

Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Forecasting LLM Inference Performance via Hardware-Agnostic Analytical Modeling

Reference 46

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Observation e0e85464-7a77-4a40-bf45-d7f3b7e59c90 · outbound

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Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Unresolved cited work

Reference 47

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Observation 2d515a64-b1ff-4eb8-8979-691237c346cc · outbound

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Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Unresolved cited work

Reference 48

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Observation a6b588f0-b2ae-46bc-807f-7425f7b9e5a9 · outbound

This paper cites an unresolved cited work.

Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Unresolved cited work

Reference 49

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source=pdf_text observed=2026-08-01T09:35:57.978477Z digest=sha256:9c8bbf7bb6b346361fc998b126d946278b6449a2c97e83cc91f43df1ac2c817f

Observation af55fa44-6997-499a-b6e0-a7385b1fe027 · outbound

This paper cites Mixture-of-Depths: Dynamically allocating compute in transformer-based language models.

Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Mixture-of-Depths: Dynamically allocating compute in transformer-based language models

Reference 50

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source=pdf_text observed=2026-08-01T09:35:58.191128Z digest=sha256:be98b1a0d8759eb97c31f7bfbbc378f451ea6c6ee3461e1938562c7e4076c1cb

Observation 96db6c13-9e05-46ea-a3e8-60c57666e6b1 · outbound

This paper cites an unresolved cited work.

Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Unresolved cited work

Reference 51

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source=pdf_text observed=2026-08-01T09:35:58.334823Z digest=sha256:5d484719d819523214f7e3be61831a74e00fa2d1c25917f67e8ed2509cf822f9

Observation be945d9a-4423-435c-b2ff-10048d38ea18 · outbound

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Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Unresolved cited work

Reference 52

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source=pdf_text observed=2026-08-01T09:35:58.536705Z digest=sha256:a22f1ac286559893eb0099394cc901b84de0e3d0c18286fe7a13644179eb6913

Observation 81f670c5-52a6-4783-9d9c-0b64231b5338 · outbound

This paper cites Accelerating LLM Inference with Staged Speculative Decoding.

Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Accelerating LLM Inference with Staged Speculative Decoding

Reference 53

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Observation 65acffae-386b-4f66-8dd5-47d09d239f58 · outbound

This paper cites an unresolved cited work.

Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Unresolved cited work

Reference 54

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source=pdf_text observed=2026-08-01T09:35:58.959985Z digest=sha256:4f123b3181cd67f4542b9b60727424128c7feff9513ed8b2b1ff3b4cbbb63fc1

Observation ecbaad3e-54c8-4922-9f29-972ce826c981 · outbound

This paper cites SpecTr: Fast Speculative Decoding via Optimal Transport.

Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing SpecTr: Fast Speculative Decoding via Optimal Transport

Reference 55

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source=pdf_text observed=2026-08-01T09:35:59.177971Z digest=sha256:2c58be9fca91b95f0130d4e5db35dfe6ad61fe8f9ed0c1f9fc60faee5be9c9b0

Observation 79777f1a-980e-4110-9fb7-b0afb0784f41 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Gemini: A Family of Highly Capable Multimodal Models

Reference 56

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source=pdf_text observed=2026-08-01T09:35:59.321038Z digest=sha256:f3ce7043997a2f0044cec8bc7ccb2dbf47d4f2ed1df0c62deb27639d9ac7f680

Observation 7d076487-1ebf-4714-9463-e13a539c492a · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Gemma 2: Improving Open Language Models at a Practical Size

Reference 57

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source=pdf_text observed=2026-08-01T09:35:59.503236Z digest=sha256:9f684f09a1dc629657410c8794bef878a68d2961b754d3fc743e89ce9aa1a604

Observation c12dd328-df24-484d-9a30-e835be02c64a · outbound

This paper cites an unresolved cited work.

Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Unresolved cited work

Reference 58

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source=pdf_text observed=2026-08-01T09:35:59.662075Z digest=sha256:806335f8112ec3cd3e0f5dcbb3d82e78323f4f71d835dc5f999524f606c6f482

Observation f6969907-6bea-40ea-8d87-24b7e14bd210 · outbound

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Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Unresolved cited work

Reference 59

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source=pdf_text observed=2026-08-01T09:35:59.858754Z digest=sha256:d06c0e4f924406303edf55ffcc113876ef18b1813c8fcd1cd6b8ce3f932627f1

Observation ed83be52-15c0-4c81-9ef4-de9465f0e25f · outbound

This paper cites an unresolved cited work.

Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Unresolved cited work

Reference 60

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source=pdf_text observed=2026-08-01T09:36:00.051308Z digest=sha256:72dd9b1bffc36ea8cb8ab9b7335e476c454941b73d29aa8fbd0e2a0cd686d917

Observation 7fef8d14-3bdd-4f78-af32-78aca4eb4c8e · outbound

This paper cites an unresolved cited work.

Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Unresolved cited work

Reference 61

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source=pdf_text observed=2026-08-01T09:36:00.182766Z digest=sha256:da91c6dd1e6a3420bf1bc6f6e1b890d1af37ed146bc08d79f215e77ff442cf57

Observation a0a8922e-b13d-43bf-9e4d-e0f92ebd20a4 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing LLaMA: Open and Efficient Foundation Language Models

Reference 62

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source=pdf_text observed=2026-08-01T09:36:00.328905Z digest=sha256:7445c75119fcb000db3563c192ecd5696cddabe5ca9d66a63a0fae6722970087

Observation 9f250abb-979c-412c-9db1-da1a2f00c723 · outbound

This paper cites Gomez, Łukasz Kaiser, and Illia Polosukhin.

Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Gomez, Łukasz Kaiser, and Illia Polosukhin

Reference 63

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source=pdf_text observed=2026-08-01T09:36:00.458810Z digest=sha256:385378f5802f602ced5c087a4ee2d4616d179e9a20d94653dca62a361a94cc86

Observation c0b3a1e2-5971-4348-b7d3-080d492ef3a2 · outbound

This paper cites an unresolved cited work.

Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Unresolved cited work

Reference 64

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source=pdf_text observed=2026-08-01T09:36:00.583494Z digest=sha256:c4f633fd8dddd1a494973722ff4e25dea99445e7b2aee1897d37f2ec6eb7dfa9

Observation 86a25ce0-3a0d-4889-ad95-bb1d59c46e48 · outbound

This paper cites an unresolved cited work.

Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Unresolved cited work

Reference 65

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source=pdf_text observed=2026-08-01T09:36:00.701473Z digest=sha256:a40270eac98a5cd62f448bb558883d66b0de4abaa050d31ba185535044f17ea1

Observation fde2ef62-2480-4da0-9ffc-a772a9a9f439 · outbound

This paper cites an unresolved cited work.

Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Unresolved cited work

Reference 66

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source=pdf_text observed=2026-08-01T09:36:00.845776Z digest=sha256:49ac2d2dd3d2598a0e31c2abe26a7c3d950d63473755c3097b67f1b4c4e3c230

Observation a6e9bd11-2104-4f4f-94fb-1da759ef99d5 · outbound

This paper cites an unresolved cited work.

Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Unresolved cited work

Reference 67

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source=pdf_text observed=2026-08-01T09:36:01.028109Z digest=sha256:fbde65de40e78289dd3948cd0ac2244ee4fdc703ed6c7c3967c1c0a0a99fb180

Observation 9ab8f538-5b06-4951-bd86-69dc7c11f7c6 · outbound

This paper cites an unresolved cited work.

Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Unresolved cited work

Reference 68

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source=pdf_text observed=2026-08-01T09:36:01.173969Z digest=sha256:61b11e6378681a6d717f993e0700b79b1cce0316b7e2da1c6e413810c4c10254

Observation 646424dc-e609-4914-80a2-4357ff1e9ced · outbound

This paper cites an unresolved cited work.

Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Unresolved cited work

Reference 69

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source=pdf_text observed=2026-08-01T09:36:01.470511Z digest=sha256:9b698edc0f0c980944a091cc215a3127987bf2c6098eb5f4dd265fdb18eac858

Observation 3adaf89b-47ff-4be6-8640-3ada7e01fb57 · outbound

This paper cites an unresolved cited work.

Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Unresolved cited work

Reference 70

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source=pdf_text observed=2026-08-01T09:36:01.600968Z digest=sha256:e5977a5befc54401648575848a22b5492d943d7071e0a53720cb7ad322406b3d

Observation 02df7adc-7924-4ee8-a39d-0d0ac1fb0986 · outbound

This paper cites Fletcher, and Josep Torrellas.

Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Fletcher, and Josep Torrellas

Reference 71

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source=pdf_text observed=2026-08-01T09:36:01.717180Z digest=sha256:df0ab3146a1acd486788f3508e4b160dee2033935bf11ba82ac54ae526bbecb2

Observation 6cb3355c-6dce-469a-b6d4-dbe26b9ef61d · outbound

This paper cites LongSpec: Long-Context Lossless Speculative Decoding with Efficient Drafting and Verification.

Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing LongSpec: Long-Context Lossless Speculative Decoding with Efficient Drafting and Verification

Reference 72

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source=pdf_text observed=2026-08-01T09:36:01.890755Z digest=sha256:442bee372d102495e2844b44ba2763367a23fee128bf7cb22856e1d01017b619

Observation d4fe5736-c98f-447a-86bd-c0fc3b0f9a93 · outbound

This paper cites Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models.

Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models

Reference 73

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source=pdf_text observed=2026-08-01T09:36:02.050940Z digest=sha256:6ca6a1b26ff45294be718a802bde357dc8b3b127665747db2f42a27ad117af03

Observation 1161d847-04c4-4f65-a65e-089ade15f53a · outbound

This paper cites InputSnatch: Stealing Input in LLM Services via Timing Side-Channel Attacks.

Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing InputSnatch: Stealing Input in LLM Services via Timing Side-Channel Attacks

Reference 74

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source=pdf_text observed=2026-08-01T09:36:02.185670Z digest=sha256:93a1f182ec29abd813500058ea65a9896805ca0d38698b5310a475f972de84f3

Observation ce416bb6-b089-49ee-b22d-e049e429778a · outbound

This paper cites InProceedings of the ACM/IEEE 47th Annual International Sympo- sium on Computer Architecture(Virtual Event)(ISCA ’20).

Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing InProceedings of the ACM/IEEE 47th Annual International Sympo- sium on Computer Architecture(Virtual Event)(ISCA ’20)

Reference 2020

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source=pdf_text observed=2026-08-01T09:35:55.545625Z digest=sha256:19af6f7f357693613fd9461222d2b00dd1106c981f8e43623692e6e78b4cc80d

Observation 65399667-8858-4c28-9634-89d8b236d803 · outbound

This paper cites InFindings of the Association for Computational Linguistics: EMNLP 2023, Houda Bouamor, Juan Pino, and Kalika Bali (Eds.).

Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing InFindings of the Association for Computational Linguistics: EMNLP 2023, Houda Bouamor, Juan Pino, and Kalika Bali (Eds.)

Reference 2023

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source=pdf_text observed=2026-08-01T09:36:01.324744Z digest=sha256:3fac5edfcbc615586464d1fa528b75d389ab715d52f427013705d38332eb6c86

Pith citing papers

No inbound Pith citation observations are available.