Paper Citation Record · LEDGER

Imitate Optimal Policy: Prevail and Induce Action Collapse in Policy Gradient

As of 17 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2509.02737.

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

pith.paper-citation-record.v1
2509.02737 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:41:31.820379Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

22 of 22 outbound references displayed

verified exact3
verified fuzzy5
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7d35bf1a-e57d-4d8f-8a1b-5dc505c3d3a9 · outbound

This paper cites Contrastive policy gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion.

Imitate Optimal Policy: Prevail and Induce Action Collapse in Policy Gradient Contrastive policy gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:41:32.224570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f8e58389-6fe2-4ffb-9a72-4a59c7d60f94 · outbound

This paper cites Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path.

Imitate Optimal Policy: Prevail and Induce Action Collapse in Policy Gradient Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T16:41:31.766286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d7b9e5a-49bb-47da-be6b-bf81ae7030e3 · outbound

This paper cites All experimental results are average over20 random seeds and we choose the best from three learning rates.

Imitate Optimal Policy: Prevail and Induce Action Collapse in Policy Gradient All experimental results are average over20 random seeds and we choose the best from three learning rates

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:41:32.117027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bedbb2b9-5aee-49cc-b0bc-574766382c09 · outbound

This paper cites Inducing Neural Collapse to a Fixed Hierarchy-Aware Frame for Reducing Mistake Severity.

Imitate Optimal Policy: Prevail and Induce Action Collapse in Policy Gradient Inducing Neural Collapse to a Fixed Hierarchy-Aware Frame for Reducing Mistake Severity

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-15T16:41:31.973875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 45e855d4-ff40-48cc-9e16-7eb3a5b7474d · outbound

This paper cites Continuous control with deep reinforcement learning.

Imitate Optimal Policy: Prevail and Induce Action Collapse in Policy Gradient Continuous control with deep reinforcement learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T16:41:31.777647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cb96999-d049-4458-a9c1-d8ad2bd83976 · outbound

This paper cites Neural Collapse with Cross-Entropy Loss.

Imitate Optimal Policy: Prevail and Induce Action Collapse in Policy Gradient Neural Collapse with Cross-Entropy Loss

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T16:41:31.781429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7667d8f6-d6e8-4567-af9b-59a8740588ff · outbound

This paper cites Asynchronous methods for deep reinforcement learning.

Imitate Optimal Policy: Prevail and Induce Action Collapse in Policy Gradient Asynchronous methods for deep reinforcement learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T16:41:31.789604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a05b1657-feca-4682-b4ec-62170104d518 · outbound

This paper cites Instruction Tuning with GPT-4.

Imitate Optimal Policy: Prevail and Induce Action Collapse in Policy Gradient Instruction Tuning with GPT-4

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T16:41:31.792933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53350eeb-dbf1-454d-a348-85532088681d · outbound

This paper cites Linguistic Collapse: Neural Collapse in (Large) Language Models.

Imitate Optimal Policy: Prevail and Induce Action Collapse in Policy Gradient Linguistic Collapse: Neural Collapse in (Large) Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T16:41:31.802573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 420bd0d2-310f-46e7-b139-d779ab608147 · outbound

This paper cites Huaqing Xiong, Tengyu Xu, Lin Zhao, Yingbin Liang, and Wei Zhang.

Imitate Optimal Policy: Prevail and Induce Action Collapse in Policy Gradient Huaqing Xiong, Tengyu Xu, Lin Zhao, Yingbin Liang, and Wei Zhang

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T16:41:31.807011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa3c2ad1-eed3-4b28-a8e7-0e04cf3f2c4d · outbound

This paper cites Convergence and iteration complexity of policy gradient method for infinite-horizon reinforcement learning.

Imitate Optimal Policy: Prevail and Induce Action Collapse in Policy Gradient Convergence and iteration complexity of policy gradient method for infinite-horizon reinforcement learning

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:41:32.167884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 831869e0-15e0-4b83-a0d7-865c67f2d115 · outbound

This paper cites an unresolved cited work.

Imitate Optimal Policy: Prevail and Induce Action Collapse in Policy Gradient Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-15T16:41:32.143636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 02e43c6a-ac4c-4afe-82f7-5a13f2499e98 · outbound

This paper cites On the Global Convergence of Natural Actor-Critic with Two-layer Neural Network Parametrization.

Imitate Optimal Policy: Prevail and Induce Action Collapse in Policy Gradient On the Global Convergence of Natural Actor-Critic with Two-layer Neural Network Parametrization

Reference 1998

Resolution: unresolved; no resolver link, observed 2026-08-15T16:41:31.761656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9966f96a-fc25-44d9-8b33-5bf80b3e4f46 · outbound

This paper cites Learning classifiers on positive and unlabeled data with policy gradient.

Imitate Optimal Policy: Prevail and Induce Action Collapse in Policy Gradient Learning classifiers on positive and unlabeled data with policy gradient

Reference 1999

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:41:32.190806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 05fc2478-8a1a-49cc-8652-54b738a9b238 · outbound

This paper cites Global Optimality Guarantees For Policy Gradient Methods.

Imitate Optimal Policy: Prevail and Induce Action Collapse in Policy Gradient Global Optimality Guarantees For Policy Gradient Methods

Reference 2013

Resolution: unresolved; no resolver link, observed 2026-08-15T16:41:31.745985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e0d5b91-927e-4028-9c8c-657d004fab70 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Imitate Optimal Policy: Prevail and Induce Action Collapse in Policy Gradient Proximal Policy Optimization Algorithms

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-15T16:41:31.796790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfc20b73-a249-4daf-a3be-f04b21089ac2 · outbound

This paper cites TD Convergence: An Optimization Perspective.

Imitate Optimal Policy: Prevail and Induce Action Collapse in Policy Gradient TD Convergence: An Optimization Perspective

Reference 2017

Resolution: verified exact; local_arxiv, observed 2026-08-15T16:41:32.102065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0c029449-dc7f-41c3-9c3b-709a55ba1910 · outbound

This paper cites Understanding of a convolutional neural network.

Imitate Optimal Policy: Prevail and Induce Action Collapse in Policy Gradient Understanding of a convolutional neural network

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:41:32.240361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1f8e7448-b3dd-43dd-86ff-fb971f93b4d7 · outbound

This paper cites Neural collapse with unconstrained features.

Imitate Optimal Policy: Prevail and Induce Action Collapse in Policy Gradient Neural collapse with unconstrained features

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-15T16:41:31.785414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b845a436-ed3a-4a49-ba40-bab28aabbdeb · outbound

This paper cites OpenAI Gym.

Imitate Optimal Policy: Prevail and Induce Action Collapse in Policy Gradient OpenAI Gym

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-15T16:41:31.749577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdeee453-98d9-47a6-a565-64e2b28942a6 · outbound

This paper cites A General Language Assistant as a Laboratory for Alignment.

Imitate Optimal Policy: Prevail and Induce Action Collapse in Policy Gradient A General Language Assistant as a Laboratory for Alignment

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-15T16:41:31.742107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aed67a22-9d53-41f1-95b1-e161316c5c3a · outbound

This paper cites doi: 10.18653/v1/2024.emnlp-main.1190.

Imitate Optimal Policy: Prevail and Induce Action Collapse in Policy Gradient doi: 10.18653/v1/2024.emnlp-main.1190

Reference 2024

Resolution: verified exact; doi, observed 2026-08-15T16:41:31.876373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.