Paper Citation Record · LEDGER

A View on Deep Reinforcement Learning in System Optimization

As of 16 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:1908.01275.

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

pith.paper-citation-record.v1
1908.01275 v3

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:21:50.582390Z

measured 31 of 31 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

31 of 31 outbound references displayed

verified exact2
verified fuzzy11
unresolved18
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 00e02884-7e5a-4207-9575-025b7792fcc5 · outbound

This paper cites Placeto: Learning Generalizable Device Placement Algorithms for Distributed Machine Learning.

A View on Deep Reinforcement Learning in System Optimization Placeto: Learning Generalizable Device Placement Algorithms for Distributed Machine Learning

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-14T15:21:50.428466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e28d589-6bc8-46f8-ab5f-3a54c1d15dc2 · outbound

This paper cites Speech recog- nition with deep recurrent neural networks.

A View on Deep Reinforcement Learning in System Optimization Speech recog- nition with deep recurrent neural networks

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:21:51.127842Z

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 228359e0-e55e-4081-8ab8-5bb7f1b6de37 · outbound

This paper cites From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood.

A View on Deep Reinforcement Learning in System Optimization From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-14T15:21:50.460868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3910cf45-f41f-41a6-bafc-b28f6d51451f · outbound

This paper cites Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor.

A View on Deep Reinforcement Learning in System Optimization Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-14T15:21:50.465908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22f86071-80f4-4f34-acde-68180cfe3e0f · outbound

This paper cites Autophase: Compiler phase-ordering for hls with deep reinforcement learn- ing.

A View on Deep Reinforcement Learning in System Optimization Autophase: Compiler phase-ordering for hls with deep reinforcement learn- ing

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:21:51.111257Z

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 44a93076-ad39-4c38-afd4-a6c552b3e9c3 · outbound

This paper cites Learning- based and data-driven tcp design for memory-constrained iot.

A View on Deep Reinforcement Learning in System Optimization Learning- based and data-driven tcp design for memory-constrained iot

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:21:51.079314Z

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 68442d96-dc64-45ac-8e18-5cbbf335b371 · outbound

This paper cites RLlib: Abstractions for Distributed Reinforcement Learning.

A View on Deep Reinforcement Learning in System Optimization RLlib: Abstractions for Distributed Reinforcement Learning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-14T15:21:50.497388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f883fe50-ff45-4c88-81be-b640f2782c62 · outbound

This paper cites Neural Packet Classification.

A View on Deep Reinforcement Learning in System Optimization Neural Packet Classification

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-14T15:21:50.793436Z

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 46656035-c6da-4682-83ac-1e2136a7d39c · outbound

This paper cites Neo: A Learned Query Optimizer.

A View on Deep Reinforcement Learning in System Optimization Neo: A Learned Query Optimizer

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-14T15:21:50.518247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65ba32d6-babe-45d0-b023-20fd4d9ac686 · outbound

This paper cites Playing Atari with Deep Reinforcement Learning.

A View on Deep Reinforcement Learning in System Optimization Playing Atari with Deep Reinforcement Learning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-14T15:21:50.523130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3eade8a4-45eb-46f3-b4b5-7b286ecf3f1b · outbound

This paper cites P., Mirza, M., Graves, A., Lillicrap, T., Harley, T., Silver, D., and Kavukcuoglu, K.

A View on Deep Reinforcement Learning in System Optimization P., Mirza, M., Graves, A., Lillicrap, T., Harley, T., Silver, D., and Kavukcuoglu, K

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:21:51.029564Z

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 6549131c-32b3-4b7a-8ed2-e46873144e3f · outbound

This paper cites A Stochastic Approximation Approach for Foresighted Task Scheduling in Cloud Computing.

A View on Deep Reinforcement Learning in System Optimization A Stochastic Approximation Approach for Foresighted Task Scheduling in Cloud Computing

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-14T15:21:50.718986Z

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 8e44b00e-10fd-41b8-994a-7e5e2f08af8e · outbound

This paper cites Learning State Representations for Query Optimization with Deep Reinforcement Learning.

A View on Deep Reinforcement Learning in System Optimization Learning State Representations for Query Optimization with Deep Reinforcement Learning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-14T15:21:50.537780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b3c0038-9114-44d9-9009-fc73b5eb699e · outbound

This paper cites Reinforced Genetic Algorithm Learning for Optimizing Computation Graphs.

A View on Deep Reinforcement Learning in System Optimization Reinforced Genetic Algorithm Learning for Optimizing Computation Graphs

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-14T15:21:50.542568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30458130-2d91-47b1-9a74-eeeeb3009117 · outbound

This paper cites Semantic locality and context-based prefetching using reinforce- ment learning.

A View on Deep Reinforcement Learning in System Optimization Semantic locality and context-based prefetching using reinforce- ment learning

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:21:51.010966Z

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 257fb1fb-ca77-40c9-9dbc-e75de8397943 · outbound

This paper cites P., Obraczka, K., Burleigh, S., and Hirata, C.

A View on Deep Reinforcement Learning in System Optimization P., Obraczka, K., Burleigh, S., and Hirata, C

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:21:50.993127Z

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 ebb2c584-f104-445b-b136-84ff63d22609 · outbound

This paper cites Machine learning in compiler optimization.

A View on Deep Reinforcement Learning in System Optimization Machine learning in compiler optimization

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:21:50.976831Z

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 8daf851d-f838-4a05-b827-3c4f25a8cabe · outbound

This paper cites Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning.

A View on Deep Reinforcement Learning in System Optimization Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-14T15:21:50.577434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ef79119-f153-434c-99ea-3f3fb5711f02 · outbound

This paper cites A reinforcement learning approach to automatic error recovery.

A View on Deep Reinforcement Learning in System Optimization A reinforcement learning approach to automatic error recovery

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:21:50.943948Z

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 353e3208-c3f6-4513-a045-991b4a3c2e96 · outbound

This paper cites Proximal Policy Optimization Algorithms.

A View on Deep Reinforcement Learning in System Optimization Proximal Policy Optimization Algorithms

Reference 1999

Resolution: unresolved; no resolver link, observed 2026-08-14T15:21:50.558300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce5c9204-5520-4d21-ab6d-857cba63bb6b · outbound

This paper cites Energy-efﬁcient virtual machines consolidation in cloud data centers us- ing reinforcement learning.

A View on Deep Reinforcement Learning in System Optimization Energy-efﬁcient virtual machines consolidation in cloud data centers us- ing reinforcement learning

Reference 2000

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:21:51.143986Z

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 dd34cad1-ffdd-4823-b017-c9bc726f552f · outbound

This paper cites Learning to Optimize Join Queries With Deep Reinforcement Learning.

A View on Deep Reinforcement Learning in System Optimization Learning to Optimize Join Queries With Deep Reinforcement Learning

Reference 2002

Resolution: unresolved; no resolver link, observed 2026-08-14T15:21:50.481128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dca263bd-c607-4c3f-84da-2ad2d4d02024 · outbound

This paper cites M., Pahl, C., Metzger, A., and Estrada, G.

A View on Deep Reinforcement Learning in System Optimization M., Pahl, C., Metzger, A., and Estrada, G

Reference 2008

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:21:51.095317Z

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 3f65f03d-e9c0-4e6b-8269-d58db559c0ac · outbound

This paper cites Iroko: A Framework to Prototype Reinforcement Learning for Data Center Traffic Control.

A View on Deep Reinforcement Learning in System Optimization Iroko: A Framework to Prototype Reinforcement Learning for Data Center Traffic Control

Reference 2011

Resolution: unresolved; no resolver link, observed 2026-08-14T15:21:50.553187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 621689b6-c168-4c04-97de-037d4b72e670 · outbound

This paper cites an unresolved cited work.

A View on Deep Reinforcement Learning in System Optimization Unresolved cited work

Reference 2012

Resolution: unresolved; raw_fallback, observed 2026-08-14T15:21:50.960793Z

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 85855dde-fd10-4204-9fbf-a17f6c1e966d · outbound

This paper cites A hierarchical framework of cloud resource allo- cation and power management using deep reinforcement learning.

A View on Deep Reinforcement Learning in System Optimization A hierarchical framework of cloud resource allo- cation and power management using deep reinforcement learning

Reference 2013

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:21:51.047557Z

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 5ce10ee3-c0b1-47f6-9238-b612a0de9e03 · outbound

This paper cites Horizon: Facebook's Open Source Applied Reinforcement Learning Platform.

A View on Deep Reinforcement Learning in System Optimization Horizon: Facebook's Open Source Applied Reinforcement Learning Platform

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-14T15:21:50.450088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e67973b2-5a57-4a21-9d62-e75a6d1f27bf · outbound

This paper cites Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision.

A View on Deep Reinforcement Learning in System Optimization Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-14T15:21:50.492154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aca0b995-cb4e-4dd7-9516-27df91712d13 · outbound

This paper cites Castro, P.

A View on Deep Reinforcement Learning in System Optimization Castro, P

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-14T15:21:50.434077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe4bf235-4093-4328-a5d4-39a4d09e56f5 · outbound

This paper cites Dopamine: A Research Framework for Deep Reinforcement Learning.

A View on Deep Reinforcement Learning in System Optimization Dopamine: A Research Framework for Deep Reinforcement Learning

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-14T15:21:50.439294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0020236b-a2b5-42d6-9bfd-54c9f8b01aca · outbound

This paper cites Continuous control with deep reinforcement learning.

A View on Deep Reinforcement Learning in System Optimization Continuous control with deep reinforcement learning

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-14T15:21:50.507654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.