Paper Citation Record · LEDGER

ModShift: Model Privacy via Designed Shifts

As of 16 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2507.20060.

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

pith.paper-citation-record.v1
2507.20060 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:01:29.009616Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

22 of 22 outbound references displayed

verified exact0
verified fuzzy10
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7cc1255c-46d8-4d6d-a3aa-4d0eccd92251 · outbound

This paper cites Advances and open problems in federated learning,.

ModShift: Model Privacy via Designed Shifts Advances and open problems in federated learning,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T18:01:28.877106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2dfac2c-8788-43fc-ac8d-df704267e9df · outbound

This paper cites Privacy- preserving aggregation in federated learning: A survey,.

ModShift: Model Privacy via Designed Shifts Privacy- preserving aggregation in federated learning: A survey,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:01:29.431906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fd593898-1118-4759-9b06-71bde0bc47ce · outbound

This paper cites Practical secure aggregation for privacy-preserving machine learning,.

ModShift: Model Privacy via Designed Shifts Practical secure aggregation for privacy-preserving machine learning,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:01:29.410052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 277c0dbd-5889-4733-be66-d3fc4759b46a · outbound

This paper cites FastSecAgg: Scalable Secure Aggregation for Privacy-Preserving Federated Learning.

ModShift: Model Privacy via Designed Shifts FastSecAgg: Scalable Secure Aggregation for Privacy-Preserving Federated Learning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T18:01:28.894461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b8bda76-f637-4be0-b5f8-f672d48bd48d · outbound

This paper cites Lightsecagg: a lightweight and versatile design for secure aggregation in federated learning,.

ModShift: Model Privacy via Designed Shifts Lightsecagg: a lightweight and versatile design for secure aggregation in federated learning,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T18:01:28.900078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e90f04e5-262e-4893-b0fb-3421297b07a5 · outbound

This paper cites Deep learning with differential privacy,.

ModShift: Model Privacy via Designed Shifts Deep learning with differential privacy,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T18:01:28.905232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34ea1eb2-cf21-4555-bb26-9cdb3363de62 · outbound

This paper cites Approx- imating functions with approximate privacy for applications in signal estimation and learning,.

ModShift: Model Privacy via Designed Shifts Approx- imating functions with approximate privacy for applications in signal estimation and learning,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:01:29.360462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 21b55433-8e03-4156-b07a-f6ee2d9b52d1 · outbound

This paper cites Privfl: Practical privacy-preserving federated regressions on high-dimensional data over mobile networks,.

ModShift: Model Privacy via Designed Shifts Privfl: Practical privacy-preserving federated regressions on high-dimensional data over mobile networks,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:01:29.339939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8273cdc0-1fbe-4bc9-996c-7497c2ce1eef · outbound

This paper cites An Accuracy-Lossless Perturbation Method for Defending Privacy Attacks in Federated Learning.

ModShift: Model Privacy via Designed Shifts An Accuracy-Lossless Perturbation Method for Defending Privacy Attacks in Federated Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T18:01:28.920440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbaf3483-5a5d-4828-8671-a0c9bb67fc29 · outbound

This paper cites On Model Protection in Federated Learning against Eavesdropping Attacks.

ModShift: Model Privacy via Designed Shifts On Model Protection in Federated Learning against Eavesdropping Attacks

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T18:01:28.926113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 650f8282-7b64-4007-bd42-eb69090a53b6 · outbound

This paper cites Guaranteed private communication with secret block structure,.

ModShift: Model Privacy via Designed Shifts Guaranteed private communication with secret block structure,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:01:29.323663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f6360e74-13d7-40c9-ae46-64c4cb295260 · outbound

This paper cites Channel state information-free location-privacy enhancement: Fake path injection,.

ModShift: Model Privacy via Designed Shifts Channel state information-free location-privacy enhancement: Fake path injection,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:01:29.306159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 86d2d4e9-d60a-4d7b-b275-13c775d17d03 · outbound

This paper cites Channel state information-free location-privacy enhancement: Delay-angle information spoofing,.

ModShift: Model Privacy via Designed Shifts Channel state information-free location-privacy enhancement: Delay-angle information spoofing,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:01:29.280483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8e5de3e6-421c-4631-a2b5-65e1cdee89d7 · outbound

This paper cites Optimized parameter design for channel state information-free location spoofing,.

ModShift: Model Privacy via Designed Shifts Optimized parameter design for channel state information-free location spoofing,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:01:29.259655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b98df06c-8a0f-4195-9977-2abfbe126141 · outbound

This paper cites Communication-efficient learning of deep networks from decentralized data,.

ModShift: Model Privacy via Designed Shifts Communication-efficient learning of deep networks from decentralized data,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T18:01:28.957615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9906c162-814c-4f86-b7b1-3a0bd1fe1e21 · outbound

This paper cites Maximal dissent: a state-dependent way to agree in distributed convex optimization,.

ModShift: Model Privacy via Designed Shifts Maximal dissent: a state-dependent way to agree in distributed convex optimization,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:01:29.223038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 317c1689-f7b1-4628-8245-51c138830009 · outbound

This paper cites Scaffold: Stochastic controlled averaging for federated learn- ing,.

ModShift: Model Privacy via Designed Shifts Scaffold: Stochastic controlled averaging for federated learn- ing,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T18:01:28.968825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c29b6c8e-df16-47a7-b848-2f75a9387797 · outbound

This paper cites Feddc: Federated learning with non-iid data via local drift decoupling and correction,.

ModShift: Model Privacy via Designed Shifts Feddc: Federated learning with non-iid data via local drift decoupling and correction,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T18:01:28.974647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c399fc6-5c9e-4d07-b99b-dc37980b4730 · outbound

This paper cites Goldsmith, Wireless communications.

ModShift: Model Privacy via Designed Shifts Goldsmith, Wireless communications

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T18:01:28.985010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00961bb4-85fd-4498-8e2e-43e813837e3e · outbound

This paper cites an unresolved cited work.

ModShift: Model Privacy via Designed Shifts Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T18:01:28.994890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c537b0a8-9c0c-4a6e-9772-109918e6d686 · outbound

This paper cites an unresolved cited work.

ModShift: Model Privacy via Designed Shifts Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T18:01:29.004212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03346c24-a63b-4adf-8b72-31aa8ebfb2c1 · outbound

This paper cites Pinchover and J.

ModShift: Model Privacy via Designed Shifts Pinchover and J

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:01:29.126672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

No inbound Pith citation observations are available.