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Paper Citation Record · LEDGER

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models

As of 12 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 4 inbound Pith citation observations for arXiv:2412.15431.

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

pith.paper-citation-record.v1
2412.15431 v1

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:29:31.140926Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T09:36:02.050940Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:29:42.348258Z

Reference resolution

57 of 57 outbound references displayed

  • verified exact0
  • verified fuzzy30
  • unresolved27
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4fc767db-6097-480f-9ca2-4ddd594bcfb2 · outbound

This paper cites Attention is all you need,.

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models Attention is all you need,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:29:32.305226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T11:29:30.870825Z digest=sha256:8ec48d1882455a103cb2b59476db3d7ed457f1f4df069d64537e8674834da796

Observation 6ebbe078-29a0-462c-900b-1f3447c35fda · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 2

Resolution
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no resolver link, observed 2026-08-11T11:29:30.876243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:29:30.876243Z digest=sha256:420b630439bbd9de6e465fab346d3b9f2fa665d6627a659dcba0488738bf1209

Observation fefaf2c8-7c54-4ca4-9738-0c1ddb171429 · outbound

This paper cites Introducing ChatGPT,.

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models Introducing ChatGPT,

Reference 3

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no resolver link, observed 2026-08-11T11:29:30.881405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:29:30.881405Z digest=sha256:4f582f62a00b9c02f140202a5a13dd978b3b0e2189df78f383b22aa7a4e7a806

Observation 9494e2ce-983a-45e5-9bb6-823ad6b834f6 · outbound

This paper cites Introducing Microsoft 365 Copilot – your copilot for work,.

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models Introducing Microsoft 365 Copilot – your copilot for work,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:29:32.279681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T11:29:30.886115Z digest=sha256:4bd87ad51427fc599722e0252782aaade8bf69bb05aa5d8c8f54a1b2057a3c45

Observation 817d6e74-a2b4-472e-b454-6a2e4751f1eb · outbound

This paper cites The technology behind Amazon’s GenAI- powered shopping assistant, Rufus,.

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models The technology behind Amazon’s GenAI- powered shopping assistant, Rufus,

Reference 5

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raw_fallback, observed 2026-08-11T11:29:32.264444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T11:29:30.890698Z digest=sha256:ebbdbca0470e9610877ffdb5ff770a5eaee13133eb696d79efa9d6574462fb5f

Observation f2c71ac7-8d0b-4a94-bc8c-3da225e1be67 · outbound

This paper cites Detecting pretraining data from large language models,.

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models Detecting pretraining data from large language models,

Reference 6

Resolution
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raw_fallback, observed 2026-08-11T11:29:32.248627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T11:29:30.895238Z digest=sha256:932ad45c56450c30ba7efc35af10cf11bc17eeecfedc3a805fe2aab3b90337a2

Observation 5edc4450-bd60-4507-b0d3-b4f1e7f99866 · outbound

This paper cites Did the neurons read your book? document-level membership inference for large language models,.

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models Did the neurons read your book? document-level membership inference for large language models,

Reference 7

Resolution
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no resolver link, observed 2026-08-11T11:29:30.900500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:29:30.900500Z digest=sha256:c48f95d292ad9501b719ea900bcc9b8237484b81f2c4a3a7afe5c43e6f9e4c15

Observation 6a24313a-098f-442d-bc47-c906a9da8801 · outbound

This paper cites Ex- tracting training data from large language models,.

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models Ex- tracting training data from large language models,

Reference 8

Resolution
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raw_fallback, observed 2026-08-11T11:29:32.222299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T11:29:30.905101Z digest=sha256:f320dab6f4b94da6392c5eb2e4e8dc2c6b39f041996dce6b6bff28aa38c6744e

Observation 770c2767-ca8e-48b0-981a-c871d788ca57 · outbound

This paper cites Formalizing and benchmarking prompt injection attacks and defenses,.

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models Formalizing and benchmarking prompt injection attacks and defenses,

Reference 9

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raw_fallback, observed 2026-08-11T11:29:32.207019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T11:29:30.909844Z digest=sha256:e819d7d9bb225780e5f9735a36c9ba1129e84c55ced716350e62e31ba835f446

Observation 42505ed7-5f82-459f-9b33-4015d6f274d3 · outbound

This paper cites What was your prompt? a remote keylogging attack on AI assistants,.

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models What was your prompt? a remote keylogging attack on AI assistants,

Reference 10

Resolution
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raw_fallback, observed 2026-08-11T11:29:32.192305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T11:29:30.914390Z digest=sha256:5bc9de6e72169a89dc4b796dc00852378ed2a1c2a46ab582744e16bcb0f78026

Observation 51b151f3-95cc-45aa-8ad1-c6211c9451fc · outbound

This paper cites The early bird catches the leak: Unveiling timing side channels in llm serving systems,.

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models The early bird catches the leak: Unveiling timing side channels in llm serving systems,

Reference 11

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no resolver link, observed 2026-08-11T11:29:30.919249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:29:30.919249Z digest=sha256:d33027fa7362c25e7322fa82f618057e5c017078c000f536ef6f69d22101507c

Observation 58fb2d33-029e-48b9-a7ea-37b804a4cbbf · outbound

This paper cites Privacy risks of speculative decoding in large language models,.

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models Privacy risks of speculative decoding in large language models,

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T11:29:30.923857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:29:30.923857Z digest=sha256:43424e3deea3b130345d05b114d455930e60655419aa607da2e364df6b1987d8

Observation 1f154f0a-e1bc-45c1-b181-5d96c64b9d0d · outbound

This paper cites Language Model Tokenizers Introduce Unfairness Between Languages,.

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models Language Model Tokenizers Introduce Unfairness Between Languages,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:29:32.176606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T11:29:30.928373Z digest=sha256:6ecaa22f749cadc7ad558b64b4fb3c55f8da77e0d051e0f665e22c49ce7073f1

Observation c22ec721-d6a9-491d-8177-b77865f7f43f · outbound

This paper cites Do all languages cost the same? tokenization in the era of commercial language models,.

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models Do all languages cost the same? tokenization in the era of commercial language models,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:29:32.161473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T11:29:30.933162Z digest=sha256:6af4f6ac77ee9b4fe83318becc7671b6d557e72e748966b6e758bfdcef0eb91f

Observation c58bba13-9721-44cc-9284-ca19dcdb87e4 · outbound

This paper cites Hello GPT-4o,.

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models Hello GPT-4o,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:29:32.145711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T11:29:30.937711Z digest=sha256:b7b425704fe4ee67006ee9861a10f8b63e59afdb2b2a910f481563c2371baa33

Observation 81f8e646-9ef8-42ab-b800-667f3e49469f · outbound

This paper cites Neural machine translation of rare words with subword units,.

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models Neural machine translation of rare words with subword units,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:29:32.129633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T11:29:30.942181Z digest=sha256:0a4eccdbe2d09893041a4f71e9eb92eaab6de364b33cc36296ae6d77369badcb

Observation 57e6aa42-f126-4925-9f22-1556ae7e7421 · outbound

This paper cites Google’s neural machine translation system: Bridging the gap between human and machine translation,.

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models Google’s neural machine translation system: Bridging the gap between human and machine translation,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:29:32.114066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T11:29:30.946695Z digest=sha256:a07f06294fe583970f031b693d7d1397959769f7f7df10ee2c43347524e7c3be

Observation 3b2f7418-a2ca-48aa-8f56-dd7d82e9bc24 · outbound

This paper cites Sentencepiece: A simple and lan- guage independent subword tokenizer and detokenizer for neural text processing,.

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models Sentencepiece: A simple and lan- guage independent subword tokenizer and detokenizer for neural text processing,

Reference 18

Resolution
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raw_fallback, observed 2026-08-11T11:29:32.098362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T11:29:30.956632Z digest=sha256:9903e1d7c6ae813eba0db1f7cadb3b43da27922cb9cd266219ee87871ba929c8

Observation 4dd67faa-b667-44c6-aa12-575d2a2cffb2 · outbound

This paper cites Unpacking Tokenization: Evaluating Text Compression and its Correlation with Model Performance.

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models Unpacking Tokenization: Evaluating Text Compression and its Correlation with Model Performance

Reference 19

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no resolver link, observed 2026-08-11T11:29:30.961112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:29:30.961112Z digest=sha256:0506a433ed05ec6c3b2f4e427c572077fcc843e818cd161198e61a8df4e46447

Observation 8bdbf1eb-0ead-4b76-840b-8b552eb0524d · outbound

This paper cites Beyond English-Centric Multilingual Machine Translation.

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models Beyond English-Centric Multilingual Machine Translation

Reference 20

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no resolver link, observed 2026-08-11T11:29:30.966104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:29:30.966104Z digest=sha256:ce8b18f0fd365a2e0f1b264fc1f1562d7384e0f3bf6b9943c147b8f5ce4ed483

Observation 38ab4665-d6b2-4442-bff1-ad99c2c5a1b0 · outbound

This paper cites BLOOM: A 176B-Parameter Open-Access Multilingual Language Model.

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

Reference 21

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no resolver link, observed 2026-08-11T11:29:30.971038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:29:30.971038Z digest=sha256:64785e04b6eaab7eefc91d902de63b94e50d43239e2454409194fd171e44bc3e

Observation 9cbe1ae1-dfa8-4638-8386-90e8ba6a1f01 · outbound

This paper cites Allocating Large Vocabulary Capacity for Cross-lingual Language Model Pre-training.

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models Allocating Large Vocabulary Capacity for Cross-lingual Language Model Pre-training

Reference 22

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no resolver link, observed 2026-08-11T11:29:30.975986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:29:30.975986Z digest=sha256:35826e9d93fd639a5381979f48c468d38c6d308b7d5a3cbafe1d517260858349

Observation fb3492fd-1ca1-4c4a-98c4-a6d9c8c9ae84 · outbound

This paper cites Scaffold-BPE: Enhancing Byte Pair Encoding for Large Language Models with Simple and Effective Scaffold Token Removal.

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models Scaffold-BPE: Enhancing Byte Pair Encoding for Large Language Models with Simple and Effective Scaffold Token Removal

Reference 23

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no resolver link, observed 2026-08-11T11:29:30.981099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:29:30.981099Z digest=sha256:71a90f881b86daa8cf786c1a459d25372b9f1bdad33c62469a2f1a8bda5209f2

Observation 75bb2bf0-81d9-4524-a0f9-c39fd929538e · outbound

This paper cites XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models.

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models

Reference 24

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no resolver link, observed 2026-08-11T11:29:30.985728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:29:30.985728Z digest=sha256:8701a885c35f899d302b419312978f6d43fa387dc6224c78cb80cc0c1cfb9a73

Observation e65e6c48-d6ec-4559-88b1-74b6de95500e · outbound

This paper cites Bert: Pre- training of deep bidirectional transformers for language understand- ing,.

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models Bert: Pre- training of deep bidirectional transformers for language understand- ing,

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-11T11:29:32.081716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T11:29:30.990477Z digest=sha256:93b3e8423c123f29e3772084745b980827e4df63f4cb53d5284864215aa0419a

Observation 8f1f1489-00f8-4edb-bbef-b318a0291e8d · outbound

This paper cites BERT for Joint Intent Classification and Slot Filling.

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models BERT for Joint Intent Classification and Slot Filling

Reference 26

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no resolver link, observed 2026-08-11T11:29:30.995038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:29:30.995038Z digest=sha256:ac3bd40990544387b5292b55a7cf7274c5079167542968b88185518576e0643e

Observation 572906b0-fab9-44f4-bfb1-0389a3b3d64c · outbound

This paper cites BERTopic: Neural topic modeling with a class-based TF-IDF procedure.

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models BERTopic: Neural topic modeling with a class-based TF-IDF procedure

Reference 27

Resolution
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no resolver link, observed 2026-08-11T11:29:30.999898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:29:30.999898Z digest=sha256:8866013dfd69e70f018e95b3616efcdb453a34d3bfc4f497721421cecde1778d

Observation 8def37b8-da79-4099-9622-2d81f7306d7f · outbound

This paper cites Universal language model fine-tuning for text classification,.

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models Universal language model fine-tuning for text classification,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:29:32.065902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T11:29:31.004769Z digest=sha256:0183e9e28b81c83d54e4eb98a6f35ff222025f016c29cf7b271ba047bc798212

Observation 0d55fba5-e0e0-46ce-af83-53061a151aa6 · outbound

This paper cites Language models are few-shot learners,.

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models Language models are few-shot learners,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:29:32.049968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T11:29:31.009497Z digest=sha256:56705855e6a5c445bd7313c118feaa5389bfaa9905095c10bdedb5af48253e8f

Observation 5f0fb55c-c055-4aa6-8f60-f2ba1bafc2b8 · outbound

This paper cites Calibrate before use: Improving few-shot performance of language models,.

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models Calibrate before use: Improving few-shot performance of language models,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:29:32.033595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T11:29:31.013698Z digest=sha256:605d1572f99fbbe027bdcaf409672e3f0a3940d71fc1adc1c1c32c0cf26bdaf4

Observation bfbd5404-f0a2-4ad1-b8fa-0429ec14a1ea · outbound

This paper cites The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning.

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning

Reference 31

Resolution
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no resolver link, observed 2026-08-11T11:29:31.023057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:29:31.023057Z digest=sha256:1a15595e32f1d7ba69d71d94926f0017f25cbc9bd6b5946f5de19d336ff13a91

Observation 1b5be227-a4b2-44b2-8b5e-c80e0584f84f · outbound

This paper cites Improving few-shot performance of language models via nearest neighbor calibration,.

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models Improving few-shot performance of language models via nearest neighbor calibration,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:29:32.017735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T11:29:31.027877Z digest=sha256:27bf6bf1acac4da9eaceb1e48241a43fc53508332433364f45fee0ffa7a0b7cc

Observation 36916899-7c8b-402c-954f-c0e3bb460c46 · outbound

This paper cites Fairness-guided Few-shot Prompting for Large Language Models.

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models Fairness-guided Few-shot Prompting for Large Language Models

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-11T11:29:31.038713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:29:31.038713Z digest=sha256:85baa7b2d3f6af6600e1d8dfbb4895144b01a660e0ac39912d2fc7f1d95a9b10

Observation acfb845f-c39d-4216-9959-8a15a4a9df1e · outbound

This paper cites Translate text by using adaptive translation.

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models Translate text by using adaptive translation

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:29:32.002129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T11:29:31.043899Z digest=sha256:990d081c24116ec403308e8f64c746a1271a54764513b36827dae91c2e613c87

Observation 6da953c1-0819-429f-a852-446c60b3c8cd · outbound

This paper cites DeepL’s next-gen LLM outperforms ChatGPT-4, Google, and Microsoft for translation quality.

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models DeepL’s next-gen LLM outperforms ChatGPT-4, Google, and Microsoft for translation quality

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:29:31.986383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T11:29:31.048273Z digest=sha256:33b5c5e8f256bf24a4dd7ff7cd1935aa1d2e896f536d15fa06a5ea068f4d80d6

Observation ec20d879-7c46-4c5b-beba-0f0b4fbd6abd · outbound

This paper cites General Data Protection Regulation - Article 4.

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models General Data Protection Regulation - Article 4

Reference 36

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raw_fallback, observed 2026-08-11T11:29:31.970310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T11:29:31.052474Z digest=sha256:52d231a575b43a58fa455a62d15cd963cc79b233bdae7526eb1bbb6312a00a36

Observation 511a0d26-f357-4d02-b596-e3383580f659 · outbound

This paper cites Maximum likelihood from incomplete data via the em algorithm,.

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models Maximum likelihood from incomplete data via the em algorithm,

Reference 37

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no resolver link, observed 2026-08-11T11:29:31.056739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:29:31.056739Z digest=sha256:cbca882f466fd328210040fe4fab174fe3e9e4a86be0be22db40226ff4a98bcf

Observation fac37505-f001-4a07-a93b-55863926f2b6 · outbound

This paper cites On a measure of divergence between two multinomial populations,.

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models On a measure of divergence between two multinomial populations,

Reference 38

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no resolver link, observed 2026-08-11T11:29:31.061426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:29:31.061426Z digest=sha256:87710401ed0bb63550f0cfba132ccedc11f1b0c9405a6b4dfc71629d2a53ea82

Observation e601c6bb-4984-4234-a335-05efd1ff7b20 · outbound

This paper cites Multilingual Translation with Extensible Multilingual Pretraining and Finetuning.

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models Multilingual Translation with Extensible Multilingual Pretraining and Finetuning

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T11:29:31.065953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:29:31.065953Z digest=sha256:b8e3f2800fd5aa0b14eac71cb56a02ecdc15a4d28aff9cf33542647303a961ae

Observation cdc011be-7cd0-4d8d-8a22-8a0d97e06062 · outbound

This paper cites Tower: An open multilingual large language model for translation-related tasks,.

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models Tower: An open multilingual large language model for translation-related tasks,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:29:31.953980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T11:29:31.070630Z digest=sha256:85e7c1b0a61c4585ed76a2b5e1878cf025ed5ba884307a6ecbf290ed54b06656

Observation d67fb694-9338-432c-a59d-2dd240bbb83f · outbound

This paper cites No Language Left Behind: Scaling Human-Centered Machine Translation.

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models No Language Left Behind: Scaling Human-Centered Machine Translation

Reference 41

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no resolver link, observed 2026-08-11T11:29:31.079927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:29:31.079927Z digest=sha256:f24fe195b2f03c6790a222c3d60eb200a03224c45e48f47795e1c550e5284513

Observation 0092e762-d580-4712-aabb-80e52290f14e · outbound

This paper cites Europarl: A parallel corpus for statistical machine translation,.

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models Europarl: A parallel corpus for statistical machine translation,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:29:31.938556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T11:29:31.084897Z digest=sha256:55fe76385edb4b8ae081f1bb4f68d69d91ef8bb1e575bb936cc144f89fdeafc4

Observation cddb1f3d-0c21-402b-be01-f06dabde35e5 · outbound

This paper cites Einstein for Service.

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models Einstein for Service

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:29:31.922530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T11:29:31.089879Z digest=sha256:d54909c09cbcd9ed87859eb243635ace24f51c567602c27d94aa629e64fbd77c

Observation bd0492a3-716a-495d-a607-6e482d13119f · outbound

This paper cites Med-PaLM: A Medical Large Language Model - Google Research.

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models Med-PaLM: A Medical Large Language Model - Google Research

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:29:31.906950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T11:29:31.094858Z digest=sha256:6c261857f84281287a5e78dd1bcec99019a59d3e5c4b327f36bb5a57f20d0369

Observation 1ce73bde-bb62-48a9-9628-f1b3abc43f71 · outbound

This paper cites Super-naturalinstructions:generalization via declarative instructions on 1600+ tasks,.

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models Super-naturalinstructions:generalization via declarative instructions on 1600+ tasks,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:29:31.891840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T11:29:31.099745Z digest=sha256:c1449a3bd2a781efc690d9eb25fc31388404b46ca5e3ffaff1c5bb42337f86d2

Observation 14415536-938a-486f-83ae-094030b9379c · outbound

This paper cites GPT-4 Technical Report.

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models GPT-4 Technical Report

Reference 46

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unresolved
no resolver link, observed 2026-08-11T11:29:31.104867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:29:31.104867Z digest=sha256:5f8f1cd84427137175334cf3cf874fd6f2a0ce46c81563e010d8558d38612847

Observation e159da0a-b0df-48f9-a014-2cf1e430eb6f · outbound

This paper cites Gemma 2: Improving open language models at a practical size,.

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models Gemma 2: Improving open language models at a practical size,

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-11T11:29:31.110706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:29:31.110706Z digest=sha256:fdd139b6977f0ffc3da66392eb045cc30fd337700938bfe495c5c874da8b1e62

Observation 5a86f428-12cf-45f6-9b71-ca8ec890c3bf · outbound

This paper cites Llama 3 model card,.

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models Llama 3 model card,

Reference 48

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unresolved
no resolver link, observed 2026-08-11T11:29:31.115720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:29:31.115720Z digest=sha256:5113bc720a14da92f44cce175bd9a66ebfc7db597b87094b0f42227c62247db7

Observation 65acc5bd-fe7f-4732-8968-ead4c727b5f6 · outbound

This paper cites Orca: A distributed serving system for Transformer-Based generative models,.

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models Orca: A distributed serving system for Transformer-Based generative models,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:29:31.858121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T11:29:31.120650Z digest=sha256:c59df2745c4b50713ec9719c9f757e785595d7e6062814142a2f594c62f6d3ad

Observation 646ca870-d0e7-46ee-b1bf-dd63c1931621 · outbound

This paper cites Privacy side channels in machine learning systems,.

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models Privacy side channels in machine learning systems,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:29:31.842272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T11:29:31.125641Z digest=sha256:b375a42c5b8e163d30066a186610f4a0276c151e6d09bc3b38ca223a1cbed022

Observation 674d2d26-8d9f-41c2-a021-1513c800c797 · outbound

This paper cites Rendered insecure: Gpu side channel attacks are practical,.

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models Rendered insecure: Gpu side channel attacks are practical,

Reference 51

Resolution
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no resolver link, observed 2026-08-11T11:29:31.130538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:29:31.130538Z digest=sha256:dceb89e4d7e78b8f3b97b8c8714170fca6cad52173de2355d1b3d214d1dc4008

Observation 1af5848d-5d4b-4272-b3b6-1743660da726 · outbound

This paper cites Leaky dnn: Stealing deep-learning model secret with gpu context-switching side- channel,.

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models Leaky dnn: Stealing deep-learning model secret with gpu context-switching side- channel,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:29:31.827141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T11:29:31.135431Z digest=sha256:6882e82866baf3fe6fd2d50cd24ec0d278529c94227c72141b180a2cda7b1a87

Observation 9dbeaad4-fe15-4778-8ef6-405ef59bba42 · outbound

This paper cites Also, generate label ’no’ for offensive statements that appear to be unintentional or non-offensive statements that are underhandedly offensive.

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models Also, generate label ’no’ for offensive statements that appear to be unintentional or non-offensive statements that are underhandedly offensive

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:29:31.808551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T11:29:31.140926Z digest=sha256:d7399e37dc79c96733325f2eb082a32876ad17715d8b52c430246d40d5d2d2d0

Observation 18b14d21-0a2f-4ac1-b8b4-7cc08b5ff101 · outbound

This paper cites Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation.

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 2016

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unresolved
no resolver link, observed 2026-08-11T11:29:30.951417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:29:30.951417Z digest=sha256:86a851b1310e6985200dd00723ab771479c1bf8fb9ff3f803c76f63dc632afb0

Observation f30158c9-9111-4e8c-87ab-99c996a1f491 · outbound

This paper cites Calibrate Before Use: Improving Few-Shot Performance of Language Models.

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models Calibrate Before Use: Improving Few-Shot Performance of Language Models

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-11T11:29:31.018195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:29:31.018195Z digest=sha256:0473f7246dcda781261b4698662065b0191f5fe2e4df9328554f8879a83d0a2d

Observation 6ff7e294-a79b-476e-bc94-4d3988e01e7a · outbound

This paper cites Improving Few-Shot Performance of Language Models via Nearest Neighbor Calibration.

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models Improving Few-Shot Performance of Language Models via Nearest Neighbor Calibration

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-11T11:29:31.032859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:29:31.032859Z digest=sha256:f01186a41f2020a7731cf1365cc29d9aa31c987f1415f8632e5b0055fd2308f8

Observation 8f972a5f-d3ff-451e-aed9-5f49fa9249fc · outbound

This paper cites Tower: An Open Multilingual Large Language Model for Translation-Related Tasks.

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models Tower: An Open Multilingual Large Language Model for Translation-Related Tasks

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-11T11:29:31.075174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:29:31.075174Z digest=sha256:a70ffeb87c2b07f68ef234dfb11359829e1a9867826287e9528de57e9c03de9a

Pith citing papers

Observation a0499bd1-41f8-48f2-8acd-5eddaf51ac9d · inbound

Security Considerations for Multi-agent Systems cites this paper.

Security Considerations for Multi-agent Systems Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models

Reference 242

Resolution
verified exact
arxiv_id, observed 2026-05-15T14:15:55.398798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T14:12:14.160789Z digest=sha256:21b94f7f9b8338e98f41b94650f8f2105283036c03e593d7710c3936a749edaf

Observation efd4d034-f887-4f8b-b5de-cde5b86e16f0 · inbound

OTRO: Oblivious Tokenization Path with Square-Root ORAM cites this paper.

OTRO: Oblivious Tokenization Path with Square-Root ORAM Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-03T18:28:49.728735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-27T02:53:23.964034Z digest=sha256:d00c7a2e0813f2539754e563ee4559061485dc12cca5439387f549b448ff0faf

Observation a9ba69d2-1cbc-4f00-8582-ddc3442e8493 · inbound

Investigating The Security of Modern AI and Cloud Infrastructure cites this paper.

Investigating The Security of Modern AI and Cloud Infrastructure Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models

Reference 148

Resolution
verified exact
arxiv_id, observed 2026-07-04T08:29:42.349971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-26T11:31:39.910784Z digest=sha256:7939fd409a6e8c4e07dce134f44a52016dfe47722e499c437b78219e3d903c5f

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

Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing cites this paper.

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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unresolved
no resolver link, observed 2026-08-01T09:36:02.050940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:36:02.050940Z digest=sha256:f68b760ab4e023f45e47e40f86e712c9abd6281bd56b466e5ebdd8a372c85d9d