Paper Citation Record · LEDGER

HEPPO-GAE: Hardware-Efficient Proximal Policy Optimization with Generalized Advantage Estimation

As of 21 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2501.12703.

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

pith.paper-citation-record.v1
2501.12703 v2

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:56:51.117654Z

measured 30 of 30 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 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

30 of 30 outbound references displayed

verified exact1
verified fuzzy20
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 851083a3-8cf4-4036-a67c-4e29d48ebf7c · outbound

This paper cites Deep Reinforce- ment Learning for Robotic Manipulation—The State of the Art,.

HEPPO-GAE: Hardware-Efficient Proximal Policy Optimization with Generalized Advantage Estimation Deep Reinforce- ment Learning for Robotic Manipulation—The State of the Art,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:56:51.771394Z

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 fd00e4a1-9261-401e-8ac9-afcbafc6761a · outbound

This paper cites Trust Region Policy Optimization,.

HEPPO-GAE: Hardware-Efficient Proximal Policy Optimization with Generalized Advantage Estimation Trust Region Policy Optimization,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:56:51.756353Z

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 a2b5a92c-33fd-4cda-b83c-189239dfae9c · outbound

This paper cites Proximal Policy Optimization Algorithms.

HEPPO-GAE: Hardware-Efficient Proximal Policy Optimization with Generalized Advantage Estimation Proximal Policy Optimization Algorithms

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T16:56:50.989893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53dc0fd6-3ec5-445f-83a7-88984a35e637 · outbound

This paper cites High-Dimensional Continuous Control Using Generalized Advantage Estimation.

HEPPO-GAE: Hardware-Efficient Proximal Policy Optimization with Generalized Advantage Estimation High-Dimensional Continuous Control Using Generalized Advantage Estimation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T16:56:51.004249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6c50502-6585-4964-a7e2-d8d07e4a37b2 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

HEPPO-GAE: Hardware-Efficient Proximal Policy Optimization with Generalized Advantage Estimation Adam: A Method for Stochastic Optimization

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T16:56:50.998963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c80dd969-9d66-46f8-89a2-01d0cddfaf3c · outbound

This paper cites FIXAR: A Fixed-Point Deep Re- inforcement Learning Platform with Quantization-Aware Training and Adaptive Parallelism,.

HEPPO-GAE: Hardware-Efficient Proximal Policy Optimization with Generalized Advantage Estimation FIXAR: A Fixed-Point Deep Re- inforcement Learning Platform with Quantization-Aware Training and Adaptive Parallelism,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:56:51.742467Z

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 370fcbf2-6990-4c08-9678-f851544824b3 · outbound

This paper cites QuaRL: Quantization for Fast and Environmentally Sustainable Reinforcement Learning.

HEPPO-GAE: Hardware-Efficient Proximal Policy Optimization with Generalized Advantage Estimation QuaRL: Quantization for Fast and Environmentally Sustainable Reinforcement Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T16:56:51.009947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7fb7a99-274b-4858-96e1-152edea360ea · outbound

This paper cites EnvPool: A Highly Parallel Reinforcement Learning En- vironment Execution Engine,.

HEPPO-GAE: Hardware-Efficient Proximal Policy Optimization with Generalized Advantage Estimation EnvPool: A Highly Parallel Reinforcement Learning En- vironment Execution Engine,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:56:51.714190Z

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 55aa3610-82b8-4d41-a3b8-acc07e81cc40 · outbound

This paper cites Accelerating Proximal Policy Optimization on CPU-FPGA Heterogeneous Platforms,.

HEPPO-GAE: Hardware-Efficient Proximal Policy Optimization with Generalized Advantage Estimation Accelerating Proximal Policy Optimization on CPU-FPGA Heterogeneous Platforms,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:56:51.728981Z

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 cbdc85e0-98e7-4158-ada6-9c843614d871 · outbound

This paper cites GPU-Accelerated Robotic Simulation for Distributed Reinforcement Learning,.

HEPPO-GAE: Hardware-Efficient Proximal Policy Optimization with Generalized Advantage Estimation GPU-Accelerated Robotic Simulation for Distributed Reinforcement Learning,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:56:51.682334Z

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 f716cda3-6545-4b38-b74f-da7f535c7f6d · outbound

This paper cites Accelerating Reinforcement Learning through GPU Atari Emulation,.

HEPPO-GAE: Hardware-Efficient Proximal Policy Optimization with Generalized Advantage Estimation Accelerating Reinforcement Learning through GPU Atari Emulation,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:56:51.698095Z

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 b38a05ef-509b-443f-b3a2-95588fa65843 · outbound

This paper cites an unresolved cited work.

HEPPO-GAE: Hardware-Efficient Proximal Policy Optimization with Generalized Advantage Estimation Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:56:51.652469Z

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 0b0eaba1-278a-4cbb-b6aa-c24862367dbc · outbound

This paper cites Note on a Method for Calculating Corrected Sums of Squares and Products,.

HEPPO-GAE: Hardware-Efficient Proximal Policy Optimization with Generalized Advantage Estimation Note on a Method for Calculating Corrected Sums of Squares and Products,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:56:51.667672Z

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 96ab6666-9ee0-4b7c-9951-0a6590e6b8af · outbound

This paper cites (2018) Understanding Normalization of Advantage Function in PPO [Online].

HEPPO-GAE: Hardware-Efficient Proximal Policy Optimization with Generalized Advantage Estimation (2018) Understanding Normalization of Advantage Function in PPO [Online]

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:56:51.606759Z

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 4400bab7-7e5d-4998-bc50-f3338952fc91 · outbound

This paper cites an unresolved cited work.

HEPPO-GAE: Hardware-Efficient Proximal Policy Optimization with Generalized Advantage Estimation Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:56:51.587589Z

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 179541f6-90d1-4dbe-aa06-777520f4d671 · outbound

This paper cites an unresolved cited work.

HEPPO-GAE: Hardware-Efficient Proximal Policy Optimization with Generalized Advantage Estimation Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:56:51.636925Z

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 3251f2e3-1dcd-48ee-b6c9-159998dde902 · outbound

This paper cites Revisiting Deep Learning Paral- lelism: Fine-Grained Inference Engine Utilizing Online Arithmetic,.

HEPPO-GAE: Hardware-Efficient Proximal Policy Optimization with Generalized Advantage Estimation Revisiting Deep Learning Paral- lelism: Fine-Grained Inference Engine Utilizing Online Arithmetic,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:56:51.557903Z

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 701ae6d7-a28a-4dc8-81ed-d53969493647 · outbound

This paper cites Enabling Mixed-Timing NoCs for FPGAs: Reconfigurable Synthesizable Synchronization FIFOs,.

HEPPO-GAE: Hardware-Efficient Proximal Policy Optimization with Generalized Advantage Estimation Enabling Mixed-Timing NoCs for FPGAs: Reconfigurable Synthesizable Synchronization FIFOs,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:56:51.540618Z

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 51f16659-a3a6-4dad-a98a-4e167a2b5d37 · outbound

This paper cites Reconfigurable Synthesizable Syn- chronization FIFOs,.

HEPPO-GAE: Hardware-Efficient Proximal Policy Optimization with Generalized Advantage Estimation Reconfigurable Synthesizable Syn- chronization FIFOs,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:56:51.525269Z

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 8aaf4c8c-1f35-48f8-a33e-c841b30cbe3d · outbound

This paper cites Safe Overclocking of Tightly Coupled CGRAs and Processor Arrays using Razor,.

HEPPO-GAE: Hardware-Efficient Proximal Policy Optimization with Generalized Advantage Estimation Safe Overclocking of Tightly Coupled CGRAs and Processor Arrays using Razor,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:56:51.572617Z

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 2cf4b782-1809-47fa-846e-672adc3adb67 · outbound

This paper cites High-Throughput Synthesizable Synchronization FI- FOs for Mixed-Timing NoCs,.

HEPPO-GAE: Hardware-Efficient Proximal Policy Optimization with Generalized Advantage Estimation High-Throughput Synthesizable Synchronization FI- FOs for Mixed-Timing NoCs,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:56:51.488365Z

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 67226e91-8ae9-4118-8765-1702d5debd09 · outbound

This paper cites Interleaved Architectures for High-Throughput Synthesizable Synchronization FIFOs,.

HEPPO-GAE: Hardware-Efficient Proximal Policy Optimization with Generalized Advantage Estimation Interleaved Architectures for High-Throughput Synthesizable Synchronization FIFOs,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:56:51.464824Z

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 6703a6f9-c379-4be3-9295-5f438e3b8517 · outbound

This paper cites Atalanta: A Bit is Worth a “Thousand.

HEPPO-GAE: Hardware-Efficient Proximal Policy Optimization with Generalized Advantage Estimation Atalanta: A Bit is Worth a “Thousand

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:56:51.448593Z

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 a885b039-9f97-453a-8efe-d055e03434b6 · outbound

This paper cites Synthesizable Synchronization FIFOs Utilizing the Asynchronous Pulse-Based Handshake Protocol,.

HEPPO-GAE: Hardware-Efficient Proximal Policy Optimization with Generalized Advantage Estimation Synthesizable Synchronization FIFOs Utilizing the Asynchronous Pulse-Based Handshake Protocol,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:56:51.505668Z

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 31363f23-6940-4a1b-9181-9ca4b59fa406 · outbound

This paper cites Boveda: Building an On-Chip Deep Learning Memory Hierarchy Brick by Brick,.

HEPPO-GAE: Hardware-Efficient Proximal Policy Optimization with Generalized Advantage Estimation Boveda: Building an On-Chip Deep Learning Memory Hierarchy Brick by Brick,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:56:51.415272Z

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 7fc6d1aa-d000-4ca5-8945-078d9b7bdb80 · outbound

This paper cites Mokey: Enabling Narrow Fixed-Point Inference for Out-of-the-Box Floating-Point Transformer Models,.

HEPPO-GAE: Hardware-Efficient Proximal Policy Optimization with Generalized Advantage Estimation Mokey: Enabling Narrow Fixed-Point Inference for Out-of-the-Box Floating-Point Transformer Models,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:56:51.431929Z

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 31dadffc-fdde-4cf5-8a32-e4db56796dcf · outbound

This paper cites Available: https://proceedings.mlsys.org/paper files/paper/ 2021/file/12a304a31e42dfefa21c82431e849124-Paper.pdf 9.

HEPPO-GAE: Hardware-Efficient Proximal Policy Optimization with Generalized Advantage Estimation Available: https://proceedings.mlsys.org/paper files/paper/ 2021/file/12a304a31e42dfefa21c82431e849124-Paper.pdf 9

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:56:51.397499Z

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 54985f18-abc4-4ad2-8b2b-272fb6748f7b · outbound

This paper cites an unresolved cited work.

HEPPO-GAE: Hardware-Efficient Proximal Policy Optimization with Generalized Advantage Estimation Unresolved cited work

Reference 485

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:56:51.621641Z

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 1e9d03f2-3603-451b-93ba-60e62f257be1 · outbound

This paper cites Available: https://www.jstor.org/stable/1266577.

HEPPO-GAE: Hardware-Efficient Proximal Policy Optimization with Generalized Advantage Estimation Available: https://www.jstor.org/stable/1266577

Reference 1962

Resolution: verified exact; raw_fallback, observed 2026-08-10T16:56:51.310916Z

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 f6ad1393-60cf-4f1d-bc29-dc0df14e6709 · outbound

This paper cites Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm.

HEPPO-GAE: Hardware-Efficient Proximal Policy Optimization with Generalized Advantage Estimation Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-10T16:56:50.980566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.