Paper Citation Record · LEDGER

AM-PPO: (Advantage) Alpha-Modulation with Proximal Policy Optimization

As of 8 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2505.15514.

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

pith.paper-citation-record.v1
2505.15514 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:20:10.726696Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

15 of 15 outbound references displayed

verified exact4
verified fuzzy0
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2f8e8f95-bed7-4abb-991a-6b4c06079e05 · outbound

This paper cites Proximal Policy Optimization Algorithms.

AM-PPO: (Advantage) Alpha-Modulation with Proximal Policy Optimization Proximal Policy Optimization Algorithms

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T15:20:09.297380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b7fa24e-391a-4a7e-b549-2a4f6838d583 · outbound

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

AM-PPO: (Advantage) Alpha-Modulation with Proximal Policy Optimization High-Dimensional Continuous Control Using Generalized Advantage Estimation

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T15:20:09.391259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09309aad-767d-481d-99e8-4a821be3e262 · outbound

This paper cites an unresolved cited work.

AM-PPO: (Advantage) Alpha-Modulation with Proximal Policy Optimization Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:20:12.319905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation aaabaec7-4b2b-4157-99bc-d82a5b7438e9 · outbound

This paper cites an unresolved cited work.

AM-PPO: (Advantage) Alpha-Modulation with Proximal Policy Optimization Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T15:20:09.638561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f4f7792-e7ab-4c28-9300-503eee4e5702 · outbound

This paper cites Sparse Spectral Methods for Solving High-Dimensional and Multiscale Elliptic PDEs.

AM-PPO: (Advantage) Alpha-Modulation with Proximal Policy Optimization Sparse Spectral Methods for Solving High-Dimensional and Multiscale Elliptic PDEs

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:20:11.625988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dc738ca9-7088-466c-8801-abf1cc838407 · outbound

This paper cites Topological nature of the transition between the gap and the gapless superconducting states.

AM-PPO: (Advantage) Alpha-Modulation with Proximal Policy Optimization Topological nature of the transition between the gap and the gapless superconducting states

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T15:20:11.443948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fefd7760-a777-45bd-993e-c659221ac575 · outbound

This paper cites A Refinement of the Murnaghan-Nakayama Rule by Descents for Border Strip Tableaux.

AM-PPO: (Advantage) Alpha-Modulation with Proximal Policy Optimization A Refinement of the Murnaghan-Nakayama Rule by Descents for Border Strip Tableaux

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:20:11.240307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7cd99bac-93f2-40e5-988a-022861c60fb8 · outbound

This paper cites Split NMSSM from dimensional reduction of a $10D$, $\mathcal{N}=1$, $E_8$ theory over a modified flag manifold.

AM-PPO: (Advantage) Alpha-Modulation with Proximal Policy Optimization Split NMSSM from dimensional reduction of a $10D$, $\mathcal{N}=1$, $E_8$ theory over a modified flag manifold

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:20:11.081120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7ce1941d-59ea-4963-9db1-a1d6a5018a53 · outbound

This paper cites SDSS-IV MaNGA: Blueberry Candidates Associated with LSB Galaxies $-$ Merger or Tidal Dwarf Systems ?.

AM-PPO: (Advantage) Alpha-Modulation with Proximal Policy Optimization SDSS-IV MaNGA: Blueberry Candidates Associated with LSB Galaxies $-$ Merger or Tidal Dwarf Systems ?

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:20:10.923120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c25df258-6459-42bb-a4d8-67771b64f6d7 · outbound

This paper cites an unresolved cited work.

AM-PPO: (Advantage) Alpha-Modulation with Proximal Policy Optimization Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:20:12.163504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9798801e-0b2d-4a1b-ae91-8fd251924c60 · outbound

This paper cites an unresolved cited work.

AM-PPO: (Advantage) Alpha-Modulation with Proximal Policy Optimization Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:20:12.027414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f9b12953-c867-4def-84ea-eed7fdc4ea09 · outbound

This paper cites an unresolved cited work.

AM-PPO: (Advantage) Alpha-Modulation with Proximal Policy Optimization Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:20:11.802487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ae8c1636-467b-47d2-9de2-31f898d0f24a · outbound

This paper cites Hybrid Group Relative Policy Optimization: A Multi-Sample Approach to Enhancing Policy Optimization.

AM-PPO: (Advantage) Alpha-Modulation with Proximal Policy Optimization Hybrid Group Relative Policy Optimization: A Multi-Sample Approach to Enhancing Policy Optimization

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T15:20:10.552803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3649ef8e-7d34-47fa-97f8-e11134e226e0 · outbound

This paper cites Sample Efficient Reinforcement Learning with REINFORCE.

AM-PPO: (Advantage) Alpha-Modulation with Proximal Policy Optimization Sample Efficient Reinforcement Learning with REINFORCE

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T15:20:10.646973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7da76dcc-800e-408d-a769-d90a48d4f8bf · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

AM-PPO: (Advantage) Alpha-Modulation with Proximal Policy Optimization DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T15:20:10.726696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.