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Paper Citation Record · LEDGER

Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets

As of 7 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 1 inbound Pith citation observation for arXiv:2506.03870.

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

pith.paper-citation-record.v1
2506.03870 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:56:26.977758Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-07T09:59:32.165934Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T09:41:26.028081Z

Reference resolution

43 of 43 outbound references displayed

  • verified exact2
  • verified fuzzy1
  • unresolved40
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2729b7cb-f639-4a4c-a6b5-d870d31708a5 · outbound

This paper cites online" 'onlinestring :=.

Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets online" 'onlinestring :=

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T10:56:26.777380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:56:26.777380Z digest=sha256:2a4f8533b68954cec69b2ef8673b6488104b5f3b927c240889620b407fce5087

Observation b94a7b76-b44a-4b67-a004-25b58afc4687 · outbound

This paper cites write newline.

Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets write newline

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T10:56:26.782974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:56:26.782974Z digest=sha256:4bc0d2cb7b80d009ba76edc716852ab313b912821933935608f438f62b1bd9a5

Observation ff78ec98-16af-47cf-a47c-8d4e39255458 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets On the Opportunities and Risks of Foundation Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T10:56:26.788102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:56:26.788102Z digest=sha256:0c38d23f5e5959ba289ea652be168c614ee689d233dabc010d6fef9ca963f944

Observation 62cf1b57-c0fe-4af0-bb4c-fac6eb5fe511 · outbound

This paper cites an unresolved cited work.

Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:56:27.637108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.794617Z digest=sha256:0540744e9d252db200e9db29b22fa959f0085a6af27507bdfbb99ba0774d40f5

Observation ef545a3d-8016-42a3-a8d6-2df424f9d74c · outbound

This paper cites Fine-Tuned 'Small' LLMs (Still) Significantly Outperform Zero-Shot Generative AI Models in Text Classification.

Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets Fine-Tuned 'Small' LLMs (Still) Significantly Outperform Zero-Shot Generative AI Models in Text Classification

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T10:56:26.799225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:56:26.799225Z digest=sha256:a3692b2bdc48a4e99d9dc568ae3bbcf3b231c16afdb3d62fa7cb4495645fd7af

Observation 25737215-a179-4e78-8e2a-58b0009dd858 · outbound

This paper cites an unresolved cited work.

Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T10:56:26.804075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:56:26.804075Z digest=sha256:1e611eed0fa7f6498292753f0f88827fb80a28731f5983a3e2bf78517e09d889

Observation 736cbfff-b79c-4659-94ed-005970070847 · outbound

This paper cites Do Emotions Really Affect Argument Convincingness? A Dynamic Approach with LLM-based Manipulation Checks.

Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets Do Emotions Really Affect Argument Convincingness? A Dynamic Approach with LLM-based Manipulation Checks

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:56:27.213106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.809651Z digest=sha256:a0db32fabefecfb4e2f6ffa2cd3c8801f3633fc9183c213228ee2d2d85962491

Observation 7580ab1f-542c-4e39-8780-81161e89098a · outbound

This paper cites an unresolved cited work.

Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:56:27.613617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.815172Z digest=sha256:8c253e48e0dc8152c0a3eec42699efb7665b2b9f1746570f9da63a6bb9c84358

Observation 0913ea69-d9c2-4135-9578-f254b0a3a209 · outbound

This paper cites an unresolved cited work.

Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T10:56:26.820920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:56:26.820920Z digest=sha256:0cf880efc0e9dfabdec7931a3f5512ca51eb9fa823cfce2f24ada14e97088ee8

Observation 50eb8d40-8f91-4003-91c1-f4c425709061 · outbound

This paper cites an unresolved cited work.

Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:56:27.590490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.826197Z digest=sha256:0d9bab3f87f161452cf05217982ba53c0ad9bc6e5ec22fccce8c51993ee71195

Observation 027eddaf-a646-418a-a9c1-2d158c8f6f6b · outbound

This paper cites an unresolved cited work.

Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets Unresolved cited work

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T10:56:26.830835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:56:26.830835Z digest=sha256:0f8c66a6aeef67bd2306f09293e16846cf8ea182a282b1c9f80b8f1ff9bfb5d7

Observation 5b95de03-64e4-4885-ad25-8bc94de3079c · outbound

This paper cites an unresolved cited work.

Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:56:27.575868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.835737Z digest=sha256:ef7432171e1df74266611e2c36b58e8682093b6a8d53411de72f12e95682e551

Observation 29e5959e-e97b-4afe-b819-5eaef3bc698f · outbound

This paper cites an unresolved cited work.

Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:56:27.561040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.839920Z digest=sha256:434b5547d6e80fa3875551ed1acde29aea1ee70dae35877602c4fafa03f9fdd1

Observation 9e777397-f5d1-4e3e-9356-aabf4d78102e · outbound

This paper cites an unresolved cited work.

Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:56:27.546810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.844629Z digest=sha256:fa889e58e0558db53b866a8badad0ba7ad6c2841bafed83a4a8c470a4cc55b97

Observation 1e50c26c-06f8-4160-9ce3-dc0fdce5722a · outbound

This paper cites an unresolved cited work.

Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets Unresolved cited work

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T10:56:26.848856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:56:26.848856Z digest=sha256:f3fec229a6f901fe3d2ca77b87cee24f5d981dc833ac2b1057bb9c7d239bce47

Observation debaca2a-22f5-479b-814b-4724e8511715 · outbound

This paper cites an unresolved cited work.

Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:56:27.523990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.853493Z digest=sha256:afd8f53fff4046ec5d431794e1ddae0fa3db80f6262eae7bc8812c070f4ffda0

Observation 4ab7888a-ef8d-4420-b90d-b45b4d32c465 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T10:56:26.858797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:56:26.858797Z digest=sha256:501c43ff73fbd75d8514192d95bb7e8478852ee6a7fbdf3a1ad30a09733214f6

Observation 256251cc-21f7-420a-b636-fea7b6fa5bb9 · outbound

This paper cites an unresolved cited work.

Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:56:27.510650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.863300Z digest=sha256:4090439668bbecee7bd165ae32bbbc24c1dc9c6a848fe8ab2ed362764cdb8f06

Observation 32f2ead1-ee60-44fc-889b-4834af272aad · outbound

This paper cites an unresolved cited work.

Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:56:27.496440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.867590Z digest=sha256:c4abca58270e0c89a991ddfd7b12e33403b04a0509f82a2c9a93fbd686676941

Observation faee705a-b2db-4449-9546-46e0e732b849 · outbound

This paper cites an unresolved cited work.

Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets Unresolved cited work

Reference 20

Resolution
verified exact
doi, observed 2026-08-07T10:56:27.034640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.872121Z digest=sha256:527b3f5b9e00afae756dbecf36be64b05771045b90aa9b87e0d23633fe680ffd

Observation c228c586-d1c1-4af5-8209-e8c558c07319 · outbound

This paper cites an unresolved cited work.

Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:56:27.481701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.876851Z digest=sha256:2fd144887219ea686e82bb3fff41a98413e3e243b766706c718da1ff79c58d75

Observation 2093dbff-c30b-4f09-8df1-0e93fef0eb07 · outbound

This paper cites an unresolved cited work.

Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:56:27.466794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.880553Z digest=sha256:2dd5be881f5840a2b7f68f5275e857fa391eabcb2128581c5fe94354d2913b0f

Observation 4078116e-b4a9-450c-ba8a-99b3b5c5e131 · outbound

This paper cites an unresolved cited work.

Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:56:27.452656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.884775Z digest=sha256:e51878ef527228bbe8fb347a502553957f6f76894e46251b5429d1afbcde37f4

Observation ebf5b6d3-75ee-467e-87f1-d8269442a8c2 · outbound

This paper cites Eldesouki, and Yasser Hifny.

Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets Eldesouki, and Yasser Hifny

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:56:27.438100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.889075Z digest=sha256:0f31a1fdcd95bf3ad36f1d5e9b322392ca2f76ab2dec240e964242ef059f077e

Observation 47f679fa-9a3e-40a2-a9b1-e73ef5f4e6c1 · outbound

This paper cites Use of LLMs for Illicit Purposes: Threats, Prevention Measures, and Vulnerabilities.

Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets Use of LLMs for Illicit Purposes: Threats, Prevention Measures, and Vulnerabilities

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T10:56:26.893485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:56:26.893485Z digest=sha256:728db0fb1a67b40b97fe0999c3071ee8005c2b6b49c83dc88e6f8f7c9a49b3d9

Observation 6c79872b-80f6-4267-a59d-2db233bc444b · outbound

This paper cites an unresolved cited work.

Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:56:27.422506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.898445Z digest=sha256:e32a72b396e7f5daa1fa852e51dbb4cd98b62902bc4ee1967f40e6d1037920fc

Observation 8d332e70-5147-4e66-9151-79a9ad9b60d8 · outbound

This paper cites an unresolved cited work.

Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:56:27.407413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.902988Z digest=sha256:2fe2832bf17ccdc3ceac77354a4b0820655c5885385aab8074a28010ea2cd53e

Observation eaa9cb90-1169-4b0e-b002-e67ba027cc15 · outbound

This paper cites an unresolved cited work.

Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets Unresolved cited work

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T10:56:26.907684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:56:26.907684Z digest=sha256:71641efeb780c02d5d741c5962191b632a82fbcb4f22686c39415e5e736a8dd7

Observation 83d73406-a7bc-49d7-b5ce-0e1cf81c2f2f · outbound

This paper cites an unresolved cited work.

Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets Unresolved cited work

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T10:56:26.912078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:56:26.912078Z digest=sha256:20613eba3980444e8b9a41e5652b03255b8d8b1b6f1576b70aa140295d2b00c8

Observation a51a0b9f-6155-40c9-9226-5bb4bd496815 · outbound

This paper cites an unresolved cited work.

Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets Unresolved cited work

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T10:56:26.916527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:56:26.916527Z digest=sha256:194affdc0ded281d0381c34c9a0cf515eb81d2fbec200d9fe3d55ab0b31d53bb

Observation 1f55d0b0-fd8b-406f-b3dd-5a8fb9d3beb9 · outbound

This paper cites an unresolved cited work.

Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:56:27.364389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.920776Z digest=sha256:609ddc8fcb3f7b7d12db063fdcc170f6ceb77123a66cbb3eca668d6ae7732ab0

Observation 34471862-3374-4296-ab62-1e95f112ad55 · outbound

This paper cites an unresolved cited work.

Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:56:27.351107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.925052Z digest=sha256:7775a6f4009838b2655922faff2d9bff8d0b1b90df8de97f06a8923bf2cd3b07

Observation 781f19d1-8066-48ff-b421-173cf8836380 · outbound

This paper cites an unresolved cited work.

Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets Unresolved cited work

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T10:56:26.930026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:56:26.930026Z digest=sha256:12314f9fde9e58141e9228ece7e5f19593541221204fba736482ddd7e1263c99

Observation b9aae98a-82ba-47e4-98b0-bd78d11de5a3 · outbound

This paper cites an unresolved cited work.

Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:56:27.337235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.935013Z digest=sha256:8f60c8bcaed7c4502467238c04742bc660c09c58343370476ef3f88f568e00da

Observation 6e6a363a-1920-4035-a508-829eab461008 · outbound

This paper cites an unresolved cited work.

Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:56:27.323875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.939959Z digest=sha256:8bd75999968522a419f2966deee66f793a287190bf79bb2eef79c05e84f3526a

Observation 785c37dd-58dc-421a-ad38-f82a763a1997 · outbound

This paper cites an unresolved cited work.

Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets Unresolved cited work

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T10:56:26.945694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:56:26.945694Z digest=sha256:03e561d05cd6e8fc9068ed354dcd99b835d05f3f5456bba0959cc3c066616c5c

Observation 62b1efe4-b97f-4e7d-bccd-1ab2a28b29d4 · outbound

This paper cites Sentiment Analysis through LLM Negotiations.

Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets Sentiment Analysis through LLM Negotiations

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T10:56:26.950587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:56:26.950587Z digest=sha256:b459604291e575f754bba3753c66a4dbf5a5461a65d0c0436e99e42d049ba933

Observation 79a4ec1b-7cba-4c73-bef2-9afe7df0a6cb · outbound

This paper cites an unresolved cited work.

Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:56:27.310017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.955215Z digest=sha256:0548bd7e8530d1906952b0866a2ed34ac5cb13bbcdc20dd973876575c49240cc

Observation eda6265e-d2a6-4dc4-8d92-1fb3a91a6501 · outbound

This paper cites an unresolved cited work.

Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets Unresolved cited work

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T10:56:26.959726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:56:26.959726Z digest=sha256:b67a1a14d326c39d4bc0f22857bd7545367113be77a20fc227682ca26e0a4e43

Observation a4cc2294-7a32-4a65-a8c6-d33ee4a0f6ef · outbound

This paper cites an unresolved cited work.

Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:56:27.287051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.964137Z digest=sha256:ffd11d8045b11720b2c0cced180959652542bedeb02a5964fc5d165565fbb5b8

Observation c8efe1ec-8dab-4059-81e6-ace721226b17 · outbound

This paper cites Sentiment Analysis in the Era of Large Language Models: A Reality Check.

Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets Sentiment Analysis in the Era of Large Language Models: A Reality Check

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T10:56:26.968791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:56:26.968791Z digest=sha256:117432b1432b23336724b88405cdeea7096c95c7f041fa168e38bb95273a73c2

Observation 9a454c42-aeac-4f2d-9ff2-9f875d226401 · outbound

This paper cites an unresolved cited work.

Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:56:27.272138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.973390Z digest=sha256:1af805c8822e637bbe6077dc838afc5d45b526515aecd053b0142f06c7a9ff25

Observation 82f407fe-45ff-42a2-b76a-78a272b28a5a · outbound

This paper cites an unresolved cited work.

Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:56:27.258533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.977758Z digest=sha256:1e88bea8c5b7f6ec17bfdb0bc3b89150e3672f5550edf414d94f27fd927140f0

Pith citing papers

Observation f0668a04-1b96-4e3e-b97e-3dfb80a57995 · inbound

From Notepad AI to Social Media: How Can Text Style Transformation Mitigate Social Harm? cites this paper.

From Notepad AI to Social Media: How Can Text Style Transformation Mitigate Social Harm? Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:41:26.029935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-07T09:59:32.165934Z digest=sha256:344430c5d3501440bf26c5a779aac2f7b40e2c255b39c30744bbf55f79d7f7b2