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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 9 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 2026-08-09T06:31:02.800959+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=sha256:1e9b2f3b692b10f587073b0c5a387636038365550708ca9acc191ea9a1d83b0b

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=sha256:331516c4168899a3e169303223a40cebe93b11087ce0e2c824732942bb748ed7

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=sha256:6233e7bcd99f4a2540221d86d4da6f06b07c75891c9bf0d9f5f5f885bf5dceb9

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.794617Z digest=sha256:d97d919d1f72d15c1273828700697ebf2774ce510ba3efe8e6b50837571c46c4

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=sha256:45da33db83b70dfabf715a5962020271419f452cd11f86a4fcdab65f160ccb9b

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=sha256:5311f79047d6077c2ad23a208c655dae65f46564d502cd565a8e01292ef7a83a

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.809651Z digest=sha256:b2191cbe36a8f662ca156e05c9741b9b1ac5a02549f9c380426eb8a36699742f

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.815172Z digest=sha256:643459b8dd9395b3d0c8e38715f2c23c7e4e12cd13f11812cfd183b7d0a97fa8

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=sha256:7bb8997e9d12a941d03d24abe730a416fcf90fd0556b2fa8ef4d4286371e4e18

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.826197Z digest=sha256:4961b8c3bb34b664f6defb8d66206bdf043cdc356dd7bdf13d7236364a92fa8b

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=sha256:4ba8feb0c166d9b84196141c71f7288a063682f16782496b5ec665e88dbf5336

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.835737Z digest=sha256:0caa2b9c4ff4b1975822632d5b41d81b0b778097075acf50e702b52f69582934

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.839920Z digest=sha256:43ddc893d201121fe73152dfee433438e33872e020c12336985b2d54acaa3611

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.844629Z digest=sha256:b2d27dfcdc04d91834fa7963f438dac0e7e1192888ccc1427a2b1a305eb5fe51

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=sha256:979ec6349b6d087e7eccd4ac09cb99e96fbcd25513fe41d906d49217bbe7eade

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.853493Z digest=sha256:6b22fba8494bb76b494dc961c96a9ce4983bfba0e4ebf4681639376615bac3b2

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:af75564548ea6f968388ea2fcef092765352ae7b2b2845d8d6fefc97fbc86a99

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.863300Z digest=sha256:c11f9623bfb739ad3628fc31dce0b1fddfb2cdb23a147931a4689f9d992589e1

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.867590Z digest=sha256:8a32b9c337b13c6167da783da13237ad851d935f1a2e0e4126d9e6602f4dcfdf

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.872121Z digest=sha256:c80d8e46b86ea829bc4bcff3c450155865d68705bd911186eeceec947436e93a

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.876851Z digest=sha256:0ebb4fbfbd03b7690566d06a04aa51509fc9a51017416dd1c8317129fa1233c7

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.880553Z digest=sha256:2b30f2a73ed17999a7369abd93e36e518e58cac4aa263d7052492136096b6061

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.884775Z digest=sha256:bb6b290e5b11865ef45a261c8e9d2e5322b06a09ad9ba16d79077c0a651d8823

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.889075Z digest=sha256:67365f7a36504ce747c0590d2ddff51a0b9287abfcd7118c6ecda52b6a927f85

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=sha256:96df861cc1495994fc050575cdec2a94916c19b95c3776acec63820109eb77bf

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.898445Z digest=sha256:ac7310e9831b616075b3a95190c6e2f7ec1bd76c00867a6bcb4f86daa5ddbdca

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.902988Z digest=sha256:277afdbb6e324617242a9b809e97b484ae1bb87e4abbb8ef6014af95dcccd1a8

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=sha256:7ab2def219ccabdf8c09d34fdba924a7ce346bf2a9eb6e24bcfb307766e79d01

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:ab1ce0cbd816824b3fa90cdfbb6545b28c290cec715f70843979e6dfdc6122e8

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:c6672d495a25f124e4896e65258416b2ad94826a263e9f5a17e4e7a68f50cfb9

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.920776Z digest=sha256:f18ff71aa8d1578311e66ab7a15847cffa80e83cdf99449f04a07aad6f22a3d6

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.925052Z digest=sha256:baad3b5c15bce4d518041719e3cd4897c0b9de68a78fa5e5f9edb8a6b7e3a60e

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=sha256:0909b461a9cea2683a96c6b67b08cb99c41b85c4347a7a831f25f5b6faa6914d

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.935013Z digest=sha256:cdc8587f6b975deb3c37c498dc08785135fc71d6a94eefd37683bba1f7dc7ba9

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.939959Z digest=sha256:e275f4ab586d00d7bc79736f0b0d4ef0dbd3ff7efd8970a479315161498028b3

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=sha256:612affbe2f9b53245ada496a1c6ae15511722f20eb2fe6721c7297e242fbd072

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:d595b39d7e4915082dec159efee97ab144e40bc0b561006fb7accb9184e06175

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.955215Z digest=sha256:ece1e444eb119cb641398ce941c0ec5fc3083dde87bbbfa96501d0fe2d1311dc

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:a596da884798ff674dc51da15c2008fdebee7640a793156f98ff20637def8755

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.964137Z digest=sha256:a1042bfa23e4b660d14d2bc21327d8b66714e9b5f3289327ddad80cf6c41c8a7

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:d921ae6091d8658224e278b30da7cd8899ec5d157a9f64d31f3a37e8f677660b

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.973390Z digest=sha256:3fe293e469e084c5233fecd8d8b4d16b5692b13475276c0ab3cf7fbc55450e3b

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.977758Z digest=sha256:dd62ef6291f69a6f113f3661836fb33bbb659899519144b83f1c737f46e94b9a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T09:59:32.165934Z digest=sha256:42e78b57fefcb9d6bd1375525080bf5b42b88ac804ed3d4e22ef5f82ed5f459b