Paper Citation Record · LEDGER

AdaCliP: Adaptive Clipping for Private SGD

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:1908.07643.

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

pith.paper-citation-record.v1
1908.07643 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:06:26.464885Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T07:36:44.782476Z

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 6c751ce0-90ed-4357-9fba-8e537a34f38f · 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 AdaCliP: Adaptive Clipping for Private SGD

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T19:06:26.464885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69586a21-e7e8-4143-8853-2aa87e115a5b · inbound

Efficient Differentially Private Fine-Tuning of LLMs via Reinforcement Learning cites this paper.

Efficient Differentially Private Fine-Tuning of LLMs via Reinforcement Learning AdaCliP: Adaptive Clipping for Private SGD

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T11:43:14.323680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0ccc035-5bf6-409f-89c6-c8822f9748e8 · inbound

Mitigating Membership Inference in Intermediate Representations with Differentially Private Training cites this paper.

Mitigating Membership Inference in Intermediate Representations with Differentially Private Training AdaCliP: Adaptive Clipping for Private SGD

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-15T19:26:31.296429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c343be83-57cf-40f5-b618-079350e83335 · inbound

Class-Aware Adaptive Differential Privacy in Deep Learning for Sensor-Based Fall Detection cites this paper.

Class-Aware Adaptive Differential Privacy in Deep Learning for Sensor-Based Fall Detection AdaCliP: Adaptive Clipping for Private SGD

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:56:00.141100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4cc6aaef-acda-4ae9-85c0-576a37a907f1 · inbound

Revisiting Privacy Amplification by Subsampling in Selective Release DPSGD cites this paper.

Revisiting Privacy Amplification by Subsampling in Selective Release DPSGD AdaCliP: Adaptive Clipping for Private SGD

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-07-02T07:26:45.949137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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

DP-MacAdam: Differentially Private Mechanism with Adaptive Clipping and Adaptive Momentum cites this paper.

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 2026-08-10T06:31:04.303077+00:00.

Observation dee681d4-0f20-49c9-964e-d83482a952f4 · inbound

Private training in quantum machine learning cites this paper.

Private training in quantum machine learning AdaCliP: Adaptive Clipping for Private SGD

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T08:04:28.927435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2a113c25-6f1c-454e-8595-eb5fc4cc1cca · inbound

Private training in quantum machine learning cites this paper.

Private training in quantum machine learning AdaCliP: Adaptive Clipping for Private SGD

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-12T11:02:29.066725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b61d6ec-fb24-4aab-a025-b5da1158c52d · inbound

StraightDP: Geometry-Aware Differential Privacy for Rectified-Flow Transformers cites this paper.

StraightDP: Geometry-Aware Differential Privacy for Rectified-Flow Transformers AdaCliP: Adaptive Clipping for Private SGD

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T13:45:32.456451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.