Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T16:59:20.256989Z
Paper Citation Record · LEDGER
A Privacy-Preserving Framework for Advertising Personalization Incorporating Federated Learning and Differential Privacy
As of 7 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 1 inbound Pith citation observation for arXiv:2507.12098.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T19:44:22.867192Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T19:44:23.126752Z
Reference resolution
11 of 11 outbound references displayed
- verified exact0
- verified fuzzy9
- unresolved2
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation e77357b5-8d85-4e85-bbd2-0228ba92da39 · outbound
This paper cites an unresolved cited work.
A Privacy-Preserving Framework for Advertising Personalization Incorporating Federated Learning and Differential Privacy Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T16:59:23.153624Z
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.
Observation 3d230e05-3e00-4ccc-add5-41f4fff86bc9 · outbound
This paper cites ADPHE-FL: Federated learning method based on adaptive differential privacy and homomorphic encryption[J].
A Privacy-Preserving Framework for Advertising Personalization Incorporating Federated Learning and Differential Privacy ADPHE-FL: Federated learning method based on adaptive differential privacy and homomorphic encryption[J]
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:59:22.983343Z
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.
Observation 5779acf1-70ce-457f-9ef8-0a0cb3e94705 · outbound
This paper cites A verifiable scheme for differential privacy based on zero-knowledge proofs[J].
A Privacy-Preserving Framework for Advertising Personalization Incorporating Federated Learning and Differential Privacy A verifiable scheme for differential privacy based on zero-knowledge proofs[J]
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:59:22.813355Z
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.
Observation 40035dcf-fddb-4f44-8966-54094c799dcc · outbound
This paper cites Privacy-preserving heterogeneous multi-modal sensor data fusion via federated learning for smart healthcare[J].
A Privacy-Preserving Framework for Advertising Personalization Incorporating Federated Learning and Differential Privacy Privacy-preserving heterogeneous multi-modal sensor data fusion via federated learning for smart healthcare[J]
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:59:22.466687Z
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.
Observation bd3fa1a2-4646-4538-bdc0-18d34753a856 · outbound
This paper cites Group verifiable secure aggregate federated learning based on secret sharing[J].
A Privacy-Preserving Framework for Advertising Personalization Incorporating Federated Learning and Differential Privacy Group verifiable secure aggregate federated learning based on secret sharing[J]
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:59:22.301696Z
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.
Observation 3ca5cbf0-6bec-43e3-9c9b-25b5e100c37a · outbound
This paper cites Fed-MWFP: Lightweight federated learning with interpretable multiple wavelet fusion network for fault diagnosis under variable operating conditions[J].
A Privacy-Preserving Framework for Advertising Personalization Incorporating Federated Learning and Differential Privacy Fed-MWFP: Lightweight federated learning with interpretable multiple wavelet fusion network for fault diagnosis under variable operating conditions[J]
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:59:21.977581Z
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.
Observation 9a2988ae-71a1-4867-9974-edf78c5de41a · outbound
This paper cites Leveraging Transfer Learning Domain Adaptation Model with Federated Learning to Revolutionize Healthcare[J].
A Privacy-Preserving Framework for Advertising Personalization Incorporating Federated Learning and Differential Privacy Leveraging Transfer Learning Domain Adaptation Model with Federated Learning to Revolutionize Healthcare[J]
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:59:21.751116Z
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.
Observation 0490d6d4-e962-400b-b2f1-bfee11b3d674 · outbound
This paper cites Consumers' information control and privacy concerns in personalized social media advertising[J].
A Privacy-Preserving Framework for Advertising Personalization Incorporating Federated Learning and Differential Privacy Consumers' information control and privacy concerns in personalized social media advertising[J]
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:59:21.527643Z
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.
Observation e7a02be5-79cd-49f5-aaa6-a59712d1b87b · outbound
This paper cites Research on Personalized Recommendation of Mobile Advertising Based on Content Filtering Interest Model[J].
A Privacy-Preserving Framework for Advertising Personalization Incorporating Federated Learning and Differential Privacy Research on Personalized Recommendation of Mobile Advertising Based on Content Filtering Interest Model[J]
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:59:21.197981Z
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.
Observation 9b2f1433-3abd-4817-bfd4-86349d7e3289 · outbound
This paper cites Personalized charity advertising.
A Privacy-Preserving Framework for Advertising Personalization Incorporating Federated Learning and Differential Privacy Personalized charity advertising
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T16:59:20.883100Z
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.
Observation ecc1fcbf-2885-4ec6-a2a2-69435aa4fe49 · outbound
This paper cites an unresolved cited work.
A Privacy-Preserving Framework for Advertising Personalization Incorporating Federated Learning and Differential Privacy Unresolved cited work
Reference 11
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T16:59:20.595864Z
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.
Pith citing papers
Observation 6a017ee0-214c-42c4-973c-559ad2d5d11c · inbound
CAMF: Collaborative Adversarial Multi-agent Framework for Machine Generated Text Detection cites this paper.
CAMF: Collaborative Adversarial Multi-agent Framework for Machine Generated Text Detection A Privacy-Preserving Framework for Advertising Personalization Incorporating Federated Learning and Differential Privacy
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T19:44:23.130353Z
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.