Paper Citation Record · LEDGER

Bypassing the Ambient Dimension: Private SGD with Gradient Subspace Identification

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2007.03813.

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

pith.paper-citation-record.v1
2007.03813 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:42:49.217847Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T23:50:47.469669Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d16f0108-77ed-41b4-80fe-336124c61a32 · inbound

DeCAF: Decentralized Consensus-And-Factorization for Low-Rank Adaptation of Foundation Models cites this paper.

DeCAF: Decentralized Consensus-And-Factorization for Low-Rank Adaptation of Foundation Models Bypassing the Ambient Dimension: Private SGD with Gradient Subspace Identification

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T13:42:49.217847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad297307-2a84-4f20-b11a-3156d95643c5 · inbound

Memory-Efficient Differentially Private Training with Gradient Random Projection cites this paper.

Memory-Efficient Differentially Private Training with Gradient Random Projection Bypassing the Ambient Dimension: Private SGD with Gradient Subspace Identification

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-21T23:50:47.472257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ecbb342a-1348-42b7-9873-69e375add08b · inbound

AdaDPIGU: Differentially Private SGD with Adaptive Clipping and Importance-Based Gradient Updates for Deep Neural Networks cites this paper.

AdaDPIGU: Differentially Private SGD with Adaptive Clipping and Importance-Based Gradient Updates for Deep Neural Networks Bypassing the Ambient Dimension: Private SGD with Gradient Subspace Identification

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T19:06:27.025962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7cea909-8d01-41d4-a7ee-57af05091880 · inbound

Balancing Utility and Privacy: Dynamically Private SGD with Random Projection cites this paper.

Balancing Utility and Privacy: Dynamically Private SGD with Random Projection Bypassing the Ambient Dimension: Private SGD with Gradient Subspace Identification

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-04T19:11:57.452693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.