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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 20 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 2026-08-19T06:32:44.657259+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=sha256:87e8e8179ea20d3dbd8f5fbad6d7aae9877d407a757d9f3aaf6b57385a946731

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=sha256:19117dadc99bcdc7835d07aec8465a1ea6725400dfa346e805f0140c4e46c88e

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=sha256:9baa9100da894016ecd864077aa55040b59edc1fc13ad396b67d5c4d2d0e28b4

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.794617Z digest=sha256:5e8570b34fccf9a56ff023e40f470057bcba0592d3767f55c9ea6343ec2fa763

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:ce7929a8d56fb84e91f897f6a03799e2d63e1df47db87c9001fa469b2ffb94b8

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=sha256:8a5f4208ab5609f9111860dc5340b43eca3d9e622999ec04ef3f294600c60c16

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.809651Z digest=sha256:15be20c36f08d160f1d07d531ff9028c44f67e29f4a4c51c09c7408177dc8473

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.815172Z digest=sha256:d33b7d9a70409dd763956426b569a173f44867b45d6dfa68c5d22314ca5612b8

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:dd5d8842565dc939253283604d28002be21888ca29443f39080045bbd336a291

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.826197Z digest=sha256:24d4ce5fa9acdc21617ab0307a846f415f87fcdb9de22942a8bbde07c5c4918d

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=sha256:914ffdefee7c66c7501f79cb111cec54d851c22961a68fc49a467279e96a1a2b

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.835737Z digest=sha256:dbeff4dd6ce10b60d73012a02a1b52ce70d220213d13f6ec63410128a7663bb7

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.839920Z digest=sha256:2776441b6a4bbba6540b5949ebe59f57e81960b0fafd1c467dc6f7a4a17c56e9

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.844629Z digest=sha256:8e777fc8204d6bda2f9b287a8dad77090a3bed8a66ff1208c5eee822a18319c5

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=sha256:6b615791e6363da4b2275f5029cb086e4bae2f53c4aac973792dfb5f9d1bf131

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.853493Z digest=sha256:f1e58bd738a0abc5975e66664708feb22eea4387d8eec27912953865025bec32

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=sha256:9513ed46544b1d8b9da6796b249793ea3325190afa96a3726b85e84f4cdc7ec9

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.863300Z digest=sha256:1decdffd45fe1acf0fb6212e306ef54af8f44b1e50f3597a4b14fd6d9e13f11e

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.867590Z digest=sha256:b93b5b41f78944d3de45cd59772c334799c8981119118b8a69ec5dc8af27496c

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.872121Z digest=sha256:db5e2744664055f0fc0fed8d17d89ad9880a543453d024abf17eb9ecad6bf20f

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.876851Z digest=sha256:325d0d9b6a035f52521d96495eb51038737df8bd39c53c4bd2bb220c8f4b52ba

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.880553Z digest=sha256:951c2e9fe2247b5fbec89ee8d1f3342fa1ee6b1030d428b3fd40f5c1d5eacdc2

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.884775Z digest=sha256:1d627e2058b36e565291ea6a81ac21602ddcbaae5ea3637fca1ecb727fafa883

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.889075Z digest=sha256:c4705829c38f274121648908b76107fc6271969ad6fbbebb822255166257ca02

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=sha256:43b5a0c50258e636985cae438926abe12f65dbb549e56556bb6aa49608f14db7

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.898445Z digest=sha256:4bad91a157f05951b5ad5b5284cbd72b4cfd2335955965638e0693d3514cf4ef

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.902988Z digest=sha256:810d5bb03f3b617bd72c7ad670bb7339c4a4d7005283f5ec3f68408db956cc2b

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=sha256:2962c8f36d9d2f4dfaa24fb19e1a1fe6eb49bbf1e30ab3362e6992eae97d2f30

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=sha256:08e762d6ef051b6bf5b33e8fc321f89d7ba9f3f652199ca7c32e6bb49d19c7df

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:fbcdf8d4a18a382ed21b9deb35bf9df3c4e4a577c94e57fa31af7e2a10001566

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.920776Z digest=sha256:5a2f4bd5942984effbd17f5916a75000fb55b953e3f1710cdfab91a1443c6e05

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.925052Z digest=sha256:948242e55501e08544684c950d3e4fd66f2f2bfa169147bff62e4c38af4e70ab

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=sha256:4b861d8b8e042acc5a65c11d448371e7fca8219ebfdbcdd3703a9508b2fc6ab8

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.935013Z digest=sha256:373dc59773deb540aadf7b935251884ef8c87154941940d2c9bc2b7da4f118a3

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.939959Z digest=sha256:f6bdb8d2da0b6dea6d0499900a82a7b0eb1570611e6dc992cb308fdbac04033f

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:b8db3a0c241c3af96cb93a7ddab4cadaa969432b853f5c001d43fb656bb0cf3b

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=sha256:60b3458b287766aaab986fa47329746f4aa16f4247592a034bbe042d515a2f28

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.955215Z digest=sha256:2b31137a0842d532d07b5b8d3e8da6a4fcdbf5dd0b0d0971d9a59c1e43f90906

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=sha256:6f461142fa914b9e4a9f3135212225c20aa14d8dcbc12b60810d083e98c775ad

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.964137Z digest=sha256:dd1d8e77b03da0109c913cd83b3515520313f65f0396025ede1ed6cb00515e38

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:f28c799a49300572cb14e8a8f65ada53275dfad49929c90f062d0541abfc8759

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.973390Z digest=sha256:4c0384ebe75f43cb330b35ba356ea07daa975a94e48a5dfe2fcfb0dc17113861

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T10:56:26.977758Z digest=sha256:7e5ed116af7873950905e3781c58fb3407961af21eb4879ca38fb4b62f1a6f8a

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-07T09:59:32.165934Z digest=sha256:4b281f734fb1382eb0dbe8820ee689c4e5ccbcea02ea553e8a598778069d33e3