Paper Citation Record · LEDGER

Differentially Private Policy Gradient

As of 21 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 1 inbound Pith citation observation for arXiv:2501.19080.

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

pith.paper-citation-record.v1
2501.19080 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T21:30:15.890050Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-18T04:43:58.646419Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T04:45:54.928527Z

Reference resolution

39 of 39 outbound references displayed

verified exact4
verified fuzzy15
unresolved19
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4e579b9e-a72b-46ed-9d9d-dee39411f9d3 · outbound

This paper cites write newline.

Differentially Private Policy Gradient write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-09T21:30:15.743550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bed5896-1892-4950-adca-b5592ace892d · outbound

This paper cites J., McMahan, H.

Differentially Private Policy Gradient J., McMahan, H

Reference 2

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T21:30:16.681801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7360e828-5dac-4d69-bcf8-0be359b1cacf · outbound

This paper cites M., Crump, T., and Far, B.

Differentially Private Policy Gradient M., Crump, T., and Far, B

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-09T21:30:15.752756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c55c6199-3017-4a66-9793-241b1fb055d4 · outbound

This paper cites OpenAI Gym.

Differentially Private Policy Gradient OpenAI Gym

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-09T21:30:15.757092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b603473-cbb7-45ff-bd59-5629d312af3a · outbound

This paper cites B., Song, D., Erlingsson, \' U ., Oprea, A., and Raffel, C.

Differentially Private Policy Gradient B., Song, D., Erlingsson, \' U ., Oprea, A., and Raffel, C

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:30:16.890038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4796ad30-7028-4293-bd69-5173272fa7fa · outbound

This paper cites Differentially Private Regret Minimization in Episodic Markov Decision Processes.

Differentially Private Policy Gradient Differentially Private Regret Minimization in Episodic Markov Decision Processes

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-09T21:30:15.766166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9856e454-0b9f-4e06-a90a-d093618f274e · outbound

This paper cites Privacy-constrained policies via mutual information regularized policy gradients.

Differentially Private Policy Gradient Privacy-constrained policies via mutual information regularized policy gradients

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:30:16.878557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 61320afe-e3f7-4a8c-bc25-4e84a68029ed · outbound

This paper cites Methods to integrate multinormals and compute classification measures.

Differentially Private Policy Gradient Methods to integrate multinormals and compute classification measures

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-09T21:30:15.775407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e378d8d6-1ce5-4d60-bfe1-29842c7f2e1d · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Differentially Private Policy Gradient DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-09T21:30:15.780088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccc0626b-abbb-415b-8c42-27d374830c30 · outbound

This paper cites Differential Privacy.

Differentially Private Policy Gradient Differential Privacy

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:30:16.867951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e8bf427f-d0c0-4209-b46e-6a5a0e81cf30 · outbound

This paper cites Practical Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt Calibration.

Differentially Private Policy Gradient Practical Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt Calibration

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-09T21:30:15.788544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54a366c5-8195-4ec2-b3d0-bb8a3daa6366 · outbound

This paper cites Membership inference attacks against temporally correlated data in deep reinforcement learning.

Differentially Private Policy Gradient Membership inference attacks against temporally correlated data in deep reinforcement learning

Reference 12

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T21:30:16.422345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9eb40fc7-c78a-4c9f-adb2-c55053d1b21f · outbound

This paper cites Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor.

Differentially Private Policy Gradient Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:30:16.857332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 98aa3d4b-bbbc-4a58-a10c-8f389b5edfcf · outbound

This paper cites Recent Advances in Reinforcement Learning in Finance.

Differentially Private Policy Gradient Recent Advances in Reinforcement Learning in Finance

Reference 14

Resolution: metadata mismatch; local_arxiv, observed 2026-08-09T21:30:16.187990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8bb07358-54e9-436d-a945-5e87c39b0636 · outbound

This paper cites an unresolved cited work.

Differentially Private Policy Gradient Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T21:30:15.803946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d991cd4-db4f-4751-a8a7-986c7acff841 · outbound

This paper cites an unresolved cited work.

Differentially Private Policy Gradient Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-09T21:30:16.846809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a29345e9-708a-425f-8324-80dc44080024 · outbound

This paper cites A survey of reinforcement learning from human feedback.

Differentially Private Policy Gradient A survey of reinforcement learning from human feedback

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-09T21:30:15.810672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5806525-bfd6-4f82-9523-34040fabf55c · outbound

This paper cites Continuous control with deep reinforcement learning.

Differentially Private Policy Gradient Continuous control with deep reinforcement learning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-09T21:30:15.814030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e2b564a-64c2-47d6-b4ba-aa5ae426eea1 · outbound

This paper cites Deep reinforcement learning for personalized treatment recommendation.

Differentially Private Policy Gradient Deep reinforcement learning for personalized treatment recommendation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:30:16.836423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 86f356fc-1302-4c13-8deb-52fe89c5b104 · outbound

This paper cites B., Ramage, D., Talwar, K., and Zhang, L.

Differentially Private Policy Gradient B., Ramage, D., Talwar, K., and Zhang, L

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:30:16.825984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fc6cffc4-05ba-4d9c-b687-bdf7b9e5087b · outbound

This paper cites P., Mirza, M., Graves, A., Lillicrap, T.

Differentially Private Policy Gradient P., Mirza, M., Graves, A., Lillicrap, T

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:30:16.816392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9c915feb-6a6c-4499-af10-d5719ec452b6 · outbound

This paper cites an unresolved cited work.

Differentially Private Policy Gradient Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-09T21:30:16.806025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1ec8fa84-a5fe-412e-bef7-2adf4bc6b005 · outbound

This paper cites How You Act Tells a Lot : Privacy - Leaking Attack on Deep Reinforcement Learning.

Differentially Private Policy Gradient How You Act Tells a Lot : Privacy - Leaking Attack on Deep Reinforcement Learning

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:30:16.795169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 16aa96e0-eee4-4233-8248-3e3ac9280947 · outbound

This paper cites an unresolved cited work.

Differentially Private Policy Gradient Unresolved cited work

Reference 24

Resolution: verified exact; doi, observed 2026-08-09T21:30:15.951861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2e1bfbff-43c0-4b2f-9bfd-9a06b4a60566 · outbound

This paper cites How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy.

Differentially Private Policy Gradient How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-09T21:30:15.838186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6017f280-3641-4e94-907c-7589e015429c · outbound

This paper cites How Private Is Your RL Policy ? An Inverse RL Based Analysis Framework.

Differentially Private Policy Gradient How Private Is Your RL Policy ? An Inverse RL Based Analysis Framework

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:30:16.785031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e30f0d98-ab8b-415e-8429-642cc5cb1f48 · outbound

This paper cites and Wang, Y.

Differentially Private Policy Gradient and Wang, Y

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:30:16.774343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f40f9856-df6a-4fc4-b096-3ada96cd235f · outbound

This paper cites Reinforcement learning for personalized medication dosing, 2019.

Differentially Private Policy Gradient Reinforcement learning for personalized medication dosing, 2019

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:30:16.763780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4cdd5c8e-4306-4e8a-86ea-a931f2194d69 · outbound

This paper cites I., and Moritz, P.

Differentially Private Policy Gradient I., and Moritz, P

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:30:16.752890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 58a94455-3690-4281-9df3-36c19eb107e1 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Differentially Private Policy Gradient Proximal Policy Optimization Algorithms

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-09T21:30:15.856751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9ea94c5-e311-47c9-befe-9f8df2f49c1d · outbound

This paper cites an unresolved cited work.

Differentially Private Policy Gradient Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-09T21:30:16.739575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bc2fa47c-523b-4442-8f80-2a4fbeb1b744 · outbound

This paper cites S., McAllester, D.

Differentially Private Policy Gradient S., McAllester, D

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:30:16.728692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 22933b28-81d1-46b0-9dda-b09224f8b04d · outbound

This paper cites Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes.

Differentially Private Policy Gradient Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-09T21:30:15.868108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37582d23-0789-4d06-866d-3238b0a7e8c8 · outbound

This paper cites Mujoco: A physics engine for model-based control.

Differentially Private Policy Gradient Mujoco: A physics engine for model-based control

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:30:16.716513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation aeec1a33-2088-49cf-bc48-e0b0f1a7d00d · outbound

This paper cites an unresolved cited work.

Differentially Private Policy Gradient Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-09T21:30:16.705576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8c03bd35-273c-47b0-874b-f0d7ff36361e · outbound

This paper cites and Hegde, N.

Differentially Private Policy Gradient and Hegde, N

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:30:16.694584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 17b81c7b-481c-42d4-b074-7d85b34171d4 · outbound

This paper cites an unresolved cited work.

Differentially Private Policy Gradient Unresolved cited work

Reference 37

Resolution: verified exact; doi, observed 2026-08-09T21:30:15.929584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 74eb0231-9a03-4bc4-ba59-572920e52a16 · outbound

This paper cites an unresolved cited work.

Differentially Private Policy Gradient Unresolved cited work

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-09T21:30:15.886181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f8eff11-ecdc-4938-999a-3c96d89310aa · outbound

This paper cites Reviewing and Improving the Gaussian Mechanism for Differential Privacy.

Differentially Private Policy Gradient Reviewing and Improving the Gaussian Mechanism for Differential Privacy

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-09T21:30:15.890050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation add2b129-436b-490f-b027-c5b947577afd · inbound

On the Sample Complexity of Differentially Private Policy Optimization cites this paper.

On the Sample Complexity of Differentially Private Policy Optimization Differentially Private Policy Gradient

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-18T04:45:54.931081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.