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Paper Citation Record · LEDGER

Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning

As of 8 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2505.24737.

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

pith.paper-citation-record.v1
2505.24737 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:35:39.652860Z

measured 46 of 46 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

46 of 46 outbound references displayed

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  • verified fuzzy31
  • unresolved15
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 653e315f-eea8-437b-944f-ae627dadb151 · outbound

This paper cites write newline.

Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning write newline

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c6c662ac-7c62-493b-944f-049ad4017f56 · outbound

This paper cites Differentially private generalized linear models revisited.

Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning Differentially private generalized linear models revisited

Reference 2

Resolution
verified fuzzy
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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.

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Observation 448e1952-d95d-4c44-9be6-086ca6d53a36 · outbound

This paper cites Private empirical risk minimization: Efficient algorithms and tight error bounds.

Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning Private empirical risk minimization: Efficient algorithms and tight error bounds

Reference 3

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no resolver link, observed 2026-08-07T12:35:35.019219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f709fac3-0cf6-4acf-ae95-b2f7f40901e9 · outbound

This paper cites an unresolved cited work.

Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning Unresolved cited work

Reference 4

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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.

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Observation ef30835f-b1bd-4e84-9239-9233596440ad · outbound

This paper cites L., and Sorrell, J.

Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning L., and Sorrell, J

Reference 5

Resolution
verified fuzzy
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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.

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Observation e913f31a-9f36-4d52-b5f9-e820cf1cd6ee · outbound

This paper cites Learning noisy halfspaces with a margin: Massart is no harder than random.

Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning Learning noisy halfspaces with a margin: Massart is no harder than random

Reference 6

Resolution
verified fuzzy
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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.

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Observation 84cab26b-4964-4dd1-90d0-6c38e7f41c06 · outbound

This paper cites an unresolved cited work.

Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning Unresolved cited work

Reference 7

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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.

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Observation 7345abe7-d007-41b2-a3cc-6435921743a1 · outbound

This paper cites Classification under misspecification: Halfspaces, generalized linear models, and evolvability.

Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning Classification under misspecification: Halfspaces, generalized linear models, and evolvability

Reference 8

Resolution
verified fuzzy
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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.

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Observation e07652da-afcb-444f-a79e-096bb53d31c8 · outbound

This paper cites and Vapnik, V.

Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning and Vapnik, V

Reference 9

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no resolver link, observed 2026-08-07T12:35:36.116018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:36.116018Z digest=sha256:67c6bb9a83b31aeb550b4f61c7625e03fc46bcc5da3a2ec1cdb4977926c5c473

Observation 167a7a6e-ef07-49e3-b22b-14c4bccf260e · outbound

This paper cites Complexity theoretic limitations on learning halfspaces.

Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning Complexity theoretic limitations on learning halfspaces

Reference 10

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verified fuzzy
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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=2026-08-07T12:35:36.310146Z digest=sha256:1a44ca4192d7caa7074b904a33b39c05a82cee95b4f9bceacec6baebe6e8c3e2

Observation 6c9c3cc9-34ca-409a-9658-811e3abd1339 · outbound

This paper cites Unlocking High-Accuracy Differentially Private Image Classification through Scale.

Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning Unlocking High-Accuracy Differentially Private Image Classification through Scale

Reference 11

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no resolver link, observed 2026-08-07T12:35:36.375081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:36.375081Z digest=sha256:1feef56c7319587c69feeecbece8df8e1e40d95c7f5156d59c7682e5c5d985bd

Observation cca8ae2b-6389-4e25-a0e5-eee41a3ca783 · outbound

This paper cites and Zarifis, N.

Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning and Zarifis, N

Reference 12

Resolution
verified fuzzy
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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.

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Observation 707d19a7-d590-4a9c-b853-5883e6b99f30 · outbound

This paper cites Distribution-independent pac learning of halfspaces with massart noise.

Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning Distribution-independent pac learning of halfspaces with massart noise

Reference 13

Resolution
verified fuzzy
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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.

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Observation 295f3162-81eb-4163-a588-a36401edb00c · outbound

This paper cites an unresolved cited work.

Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning Unresolved cited work

Reference 14

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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=2026-08-07T12:35:36.670500Z digest=sha256:6c4386cbd25d89079611025dbc60d7c3ccede98ef1884b47d35a1e8123d25a3e

Observation ac4732bb-9339-4577-8d7f-7f5bac098b90 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning An image is worth 16x16 words: Transformers for image recognition at scale

Reference 15

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no resolver link, observed 2026-08-07T12:35:36.823832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:36.823832Z digest=sha256:69173e1e685084a3b56d23fa82f79a4e798b979b9dacd9da9b18cc5539e6302e

Observation 27736552-4c68-48ee-8057-744f852aeacd · outbound

This paper cites and Lei, J.

Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning and Lei, J

Reference 16

Resolution
verified fuzzy
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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=2026-08-07T12:35:36.913000Z digest=sha256:27d05fed8544137a0e24682f722d6ef70fa7cec3eb4d384d4eba1f99c9c0ef3a

Observation 9d89b560-e218-4c8b-9637-f0f048eff932 · outbound

This paper cites Calibrating noise to sensitivity in private data analysis.

Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning Calibrating noise to sensitivity in private data analysis

Reference 17

Resolution
verified fuzzy
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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.

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Observation 7971527d-778d-459c-b822-f914a36126bf · outbound

This paper cites N., and Vadhan, S.

Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning N., and Vadhan, S

Reference 18

Resolution
verified fuzzy
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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.

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Observation 4efae588-aade-4668-b370-f68b5b7b995a · outbound

This paper cites The algorithmic foundations of differential privacy.

Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning The algorithmic foundations of differential privacy

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:37.199932Z digest=sha256:13a1cee49fd273ebe135e2194fd92219564cb0caa190d2c4edadd7f82cf021e9

Observation 1c00d121-8d72-4862-9b47-86cf8750eec7 · outbound

This paper cites an unresolved cited work.

Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning Unresolved cited work

Reference 20

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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.

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Observation e62509ea-9113-4635-8ee2-5271eff0bd57 · outbound

This paper cites and Schapire, R.

Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning and Schapire, R

Reference 21

Resolution
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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.

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Observation 3c2868fa-0b56-44ae-802b-0910e3f79294 · outbound

This paper cites Robust and private learning of halfspaces.

Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning Robust and private learning of halfspaces

Reference 22

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verified fuzzy
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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.

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Observation 67a6712f-5631-418b-bfb8-75e1479ba940 · outbound

This paper cites and Raghavendra, P.

Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning and Raghavendra, P

Reference 23

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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.

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Observation a74da5c4-360f-4df2-99b1-082ed3b2a251 · outbound

This paper cites Deep residual learning for image recognition.

Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning Deep residual learning for image recognition

Reference 24

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Unavailable: canonical work link unavailable.

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Observation 7d5d1f0a-ec07-4b01-921f-027fa25907cc · outbound

This paper cites B., Lindenstrauss, J., and Schechtman, G.

Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning B., Lindenstrauss, J., and Schechtman, G

Reference 25

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verified fuzzy
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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=2026-08-07T12:35:37.723760Z digest=sha256:bf1cb2d45f572ce8f0f7dccd13c093b39d6fcadcbcb822e0a55f2b8153a920b8

Observation 524b58c8-dcc2-4ded-af9f-efb7efbb550e · outbound

This paper cites and Kulkarni, T.

Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning and Kulkarni, T

Reference 26

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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.

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Observation b51ec5b6-2932-47e1-8575-42fce8454c2a · outbound

This paper cites E., and Wang, Y.-X.

Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning E., and Wang, Y.-X

Reference 27

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verified fuzzy
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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.

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Observation c50503ea-fe59-4988-abc4-664b112ac727 · outbound

This paper cites an unresolved cited work.

Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning Unresolved cited work

Reference 28

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unresolved
raw_fallback, observed 2026-08-07T12:35:43.550473Z

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.

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Observation 9665eebc-8125-472a-87d1-832677d41a99 · outbound

This paper cites and Talwar, K.

Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning and Talwar, K

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:43.394345Z

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.

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Observation 0fa40226-7050-4dad-a6de-331831ed5a19 · outbound

This paper cites and Zhou, Z.

Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning and Zhou, Z

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:43.210719Z

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=2026-08-07T12:35:38.233346Z digest=sha256:9db37e6c78ad3c80fc92e6f660b8305c3ad4ca6616ffc5b4d3c8f864189ee697

Observation 1a3bf2c2-a1cb-4c2d-b727-0dd958603de5 · outbound

This paper cites and Talwar, K.

Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning and Talwar, K

Reference 31

Resolution
verified fuzzy
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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=2026-08-07T12:35:38.327282Z digest=sha256:da770fd0bbcd6ca6a8026e99ab2fb0a0f02d2cac98ceaf24025dc2f503d6792b

Observation 15831b97-42b5-43ab-970f-c900f81c03d0 · outbound

This paper cites and Talwar, K.

Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning and Talwar, K

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:42.804654Z

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=2026-08-07T12:35:38.399987Z digest=sha256:e08f705a47bb55a6170fa1d1aa2a2ddb5af7fa3d9f79a4e929a99191a6f52406

Observation 8c1f81cd-3307-4f90-ba18-699473020792 · outbound

This paper cites Foundations of machine learning.

Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning Foundations of machine learning

Reference 33

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no resolver link, observed 2026-08-07T12:35:38.470679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:38.470679Z digest=sha256:02d657240a3a5f148890b4ed21bab1729d24a37aa1e4b01b89dedf7c4fa58f47

Observation a649955e-78b7-455e-9f2a-623ad4ee1246 · outbound

This paper cites an unresolved cited work.

Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning Unresolved cited work

Reference 34

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unresolved
raw_fallback, observed 2026-08-07T12:35:42.551873Z

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=2026-08-07T12:35:38.630861Z digest=sha256:e53a61beeb1085a5415a967d91558844f043bb542af3add42f5fbb6816c0c79d

Observation ecc8c437-8878-4af8-a73f-fd5bf4f85a85 · outbound

This paper cites L., Ullman, J., and Zakynthinou, L.

Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning L., Ullman, J., and Zakynthinou, L

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:42.302488Z

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=2026-08-07T12:35:38.718693Z digest=sha256:94d271e03e851cc2f75dd0cfc706812aeb0386858751556f86daa30355d73602

Observation 9d19331f-df23-4627-b087-742619d62c8f · outbound

This paper cites Smooth sensitivity and sampling in private data analysis.

Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning Smooth sensitivity and sampling in private data analysis

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:42.123363Z

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=2026-08-07T12:35:38.788064Z digest=sha256:6d6d45cc822e1fdb19b4dcb76e79a345ccda03d6610847b68c1890d1d4b85a57

Observation 389711d9-62ae-4bcc-8044-d87bb4ede1f6 · outbound

This paper cites Proceedings of the symposium on the mathematical theory of automata.

Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning Proceedings of the symposium on the mathematical theory of automata

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:41.957007Z

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=2026-08-07T12:35:38.902382Z digest=sha256:f36eae3e53272149af5a2036a190610d5136ef88e007f2a25b66de2685a4172d

Observation 02870c27-3016-4e7f-9c38-fc547aeed49f · outbound

This paper cites and Tsampouka, P.

Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning and Tsampouka, P

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:41.731087Z

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=2026-08-07T12:35:38.976346Z digest=sha256:441bd493faa1d52a24cb39754bab56df9078ca49faf6a8a70a557b121707ebb2

Observation 4cac17fe-5f3f-4dbb-867d-4572c4006847 · outbound

This paper cites and Steinke, T.

Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning and Steinke, T

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:41.513464Z

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=2026-08-07T12:35:39.047975Z digest=sha256:ea6f7a4327a55ed980bca309859803e30f931d433cddb15588cc230122765ef9

Observation 9e1f3f82-588b-4d2e-acdb-bc82a487ff36 · outbound

This paper cites an unresolved cited work.

Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning Unresolved cited work

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:39.122629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:39.122629Z digest=sha256:f3117700be8093afcb99ea0c168804517fc9fa56d4114451cb726ad05d5eb5b1

Observation 1cfbcfbb-1cca-4017-8c28-37ca4d9a06ad · outbound

This paper cites and Smith, A.

Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning and Smith, A

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:41.258536Z

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=2026-08-07T12:35:39.202153Z digest=sha256:510219f63eb9ac1315943d34d11f046e80fd80d58af168d2766ea69e1ae44b0d

Observation a620c01b-17ab-4e84-badc-33edebd14b9b · outbound

This paper cites The perceptron: A probabilistic model for information storage and organization in the brain.

Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning The perceptron: A probabilistic model for information storage and organization in the brain

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:41.016942Z

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=2026-08-07T12:35:39.280594Z digest=sha256:84f585926068d2fb44fc842e6abb6c06d65623422a6dce89670e602cc09481df

Observation 13259d11-0daf-448c-9e20-e8006cd13170 · outbound

This paper cites and Verdu, S.

Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning and Verdu, S

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:40.639857Z

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=2026-08-07T12:35:39.359863Z digest=sha256:6c6430396ef9e8ea582f9e40689c3767a3a6e6c33d8c180b607792400d2192e6

Observation 0a7aa455-ed3a-4fb3-bc78-f36ae0b3f7fd · outbound

This paper cites Statistical learning theory.

Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning Statistical learning theory

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:40.351978Z

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=2026-08-07T12:35:39.456689Z digest=sha256:849f73cb86d541aef7a566db364c25e0f389b49de13b03cf11789e08516d3e81

Observation 4536c70d-30b2-4d30-a585-27cf403de77e · outbound

This paper cites J., and Wang, Y.-X.

Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning J., and Wang, Y.-X

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:40.028760Z

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=2026-08-07T12:35:39.536536Z digest=sha256:4765c5c1887f15df7a07441094ae9ad42fe3504cc334017016f9a07ce8193845

Observation 083461df-0cef-4167-bd62-4a838e04b58f · outbound

This paper cites and Wang, Y.-X.

Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning and Wang, Y.-X

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:39.845328Z

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=2026-08-07T12:35:39.652860Z digest=sha256:8a805cd9e9e37c5792ed3b686f9fef9cf118f87284a7480a35f551fbb677a309

Pith citing papers

No inbound Pith citation observations are available.