Paper Citation Record · LEDGER

DP-MacAdam: Differentially Private Mechanism with Adaptive Clipping and Adaptive Momentum

As of 22 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2606.05435.

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

pith.paper-citation-record.v1
2606.05435 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T06:53:20.330462Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

12 of 12 outbound references displayed

verified exact3
verified fuzzy0
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 49d0dc0e-fbfc-49b8-b5e5-17eaaaa5890e · outbound

This paper cites Calibrating Noise to Sensitivity in Private Data Analysis,.

DP-MacAdam: Differentially Private Mechanism with Adaptive Clipping and Adaptive Momentum Calibrating Noise to Sensitivity in Private Data Analysis,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-28T06:53:20.330462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10b8a55c-413d-4ba4-be08-44662867d3f3 · outbound

This paper cites Deep Learning with Differential Privacy,.

DP-MacAdam: Differentially Private Mechanism with Adaptive Clipping and Adaptive Momentum Deep Learning with Differential Privacy,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-28T06:53:20.330462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b76091e2-3d73-4c4e-858d-2df85d95e2ef · outbound

This paper cites Adam: A Method for Stochastic Optimization.

DP-MacAdam: Differentially Private Mechanism with Adaptive Clipping and Adaptive Momentum Adam: A Method for Stochastic Optimization

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-07-02T07:36:44.778959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 695f51cf-c294-4dab-8e5c-d110a416748d · outbound

This paper cites An improvement of the convergence proof of the ADAM-Optimizer.

DP-MacAdam: Differentially Private Mechanism with Adaptive Clipping and Adaptive Momentum An improvement of the convergence proof of the ADAM-Optimizer

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-07-02T07:36:44.781296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 86c8fbed-7632-4b76-8c29-6738a4a69cc9 · outbound

This paper cites DP-AdamBC: Your DP- Adam Is Actually DP-SGD (Unless You Apply Bias Correction),.

DP-MacAdam: Differentially Private Mechanism with Adaptive Clipping and Adaptive Momentum DP-AdamBC: Your DP- Adam Is Actually DP-SGD (Unless You Apply Bias Correction),

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-28T06:53:20.330462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c859c33-6377-49ab-aebc-85dea9b5c0d8 · outbound

This paper cites AdaCliP: Adaptive Clipping for Private SGD.

DP-MacAdam: Differentially Private Mechanism with Adaptive Clipping and Adaptive Momentum AdaCliP: Adaptive Clipping for Private SGD

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T07:36:44.783834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fb164f5a-0b10-4d3e-8715-eab169035fdd · outbound

This paper cites TensorFlow Privacy,.

DP-MacAdam: Differentially Private Mechanism with Adaptive Clipping and Adaptive Momentum TensorFlow Privacy,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-28T06:53:20.330462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54d35980-46b2-441e-a7dd-b3e4dfbc9f46 · outbound

This paper cites DP-AdamW: Investigating De- coupled Weight Decay and Bias Correction in Private Deep Learning,.

DP-MacAdam: Differentially Private Mechanism with Adaptive Clipping and Adaptive Momentum DP-AdamW: Investigating De- coupled Weight Decay and Bias Correction in Private Deep Learning,

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-02T07:36:44.786738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ae6fbd59-4ef3-4b8a-bf0b-c431e6af0772 · outbound

This paper cites GeoClip: Geometry- Aware Clipping for Differentially Private SGD,.

DP-MacAdam: Differentially Private Mechanism with Adaptive Clipping and Adaptive Momentum GeoClip: Geometry- Aware Clipping for Differentially Private SGD,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-28T06:53:20.330462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18b267fc-3cbe-47c6-bd96-a49b13e4d94c · outbound

This paper cites Connect the Dots: Tighter Discrete Approximations of Privacy Loss Distributions,.

DP-MacAdam: Differentially Private Mechanism with Adaptive Clipping and Adaptive Momentum Connect the Dots: Tighter Discrete Approximations of Privacy Loss Distributions,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-28T06:53:20.330462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4396c2ad-c7cb-4a37-a443-80d190473dda · outbound

This paper cites Gradient-Based Learning Applied to Document Recognition,.

DP-MacAdam: Differentially Private Mechanism with Adaptive Clipping and Adaptive Momentum Gradient-Based Learning Applied to Document Recognition,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-28T06:53:20.330462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d4abfcc-41b3-49c9-987f-03d055dfbb2a · outbound

This paper cites Learning Multiple Layers of Features from Tiny Im- ages,.

DP-MacAdam: Differentially Private Mechanism with Adaptive Clipping and Adaptive Momentum Learning Multiple Layers of Features from Tiny Im- ages,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-28T06:53:20.330462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.