Paper Citation Record · LEDGER

From Novice to Expert: LLM Agent Policy Optimization via Step-wise Reinforcement Learning

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2411.03817.

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

pith.paper-citation-record.v1
2411.03817 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:18:48.467217Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T06:11:26.257349Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 98720c7b-4580-4b04-b01f-13e276d5a5ba · inbound

A Decade of Deep Learning: A Survey on The Magnificent Seven cites this paper.

A Decade of Deep Learning: A Survey on The Magnificent Seven From Novice to Expert: LLM Agent Policy Optimization via Step-wise Reinforcement Learning

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-11T16:10:24.380984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebf6be87-6040-4376-b23e-04bfd0ca8bc8 · inbound

Exploring Expert Failures Improves LLM Agent Tuning cites this paper.

Exploring Expert Failures Improves LLM Agent Tuning From Novice to Expert: LLM Agent Policy Optimization via Step-wise Reinforcement Learning

Reference 2006

Resolution: unresolved; no resolver link, observed 2026-08-16T12:18:48.467217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b1e5e2e-4bf6-401f-85a4-097ae2e3c554 · inbound

Iterative Tool Usage Exploration for Multimodal Agents via Step-wise Preference Tuning cites this paper.

Iterative Tool Usage Exploration for Multimodal Agents via Step-wise Preference Tuning From Novice to Expert: LLM Agent Policy Optimization via Step-wise Reinforcement Learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T05:04:19.872602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38195950-c328-47a4-ad6c-91b93efe3b7d · inbound

SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution cites this paper.

SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution From Novice to Expert: LLM Agent Policy Optimization via Step-wise Reinforcement Learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:00.775393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90f14950-d6d6-49b2-a74a-88977f7ab7ac · inbound

Harnessing Uncertainty: Entropy-Modulated Policy Gradients for Long-Horizon LLM Agents cites this paper.

Harnessing Uncertainty: Entropy-Modulated Policy Gradients for Long-Horizon LLM Agents From Novice to Expert: LLM Agent Policy Optimization via Step-wise Reinforcement Learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T19:28:56.630716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aaea0a6c-e4f9-4013-8306-16a29ccd7fee · inbound

From Reasoning to Agentic: Credit Assignment in Reinforcement Learning for Large Language Models cites this paper.

From Reasoning to Agentic: Credit Assignment in Reinforcement Learning for Large Language Models From Novice to Expert: LLM Agent Policy Optimization via Step-wise Reinforcement Learning

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:30:58.359285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8a1f5723-2969-4d0b-af72-950b586f1e0c · inbound

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models cites this paper.

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models From Novice to Expert: LLM Agent Policy Optimization via Step-wise Reinforcement Learning

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:01:49.475714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fc0d925f-36c6-4f3c-a6b6-d9b96aa4f688 · inbound

TRACER: Verifiable Generative Provenance for Multimodal Tool-Using Agents cites this paper.

TRACER: Verifiable Generative Provenance for Multimodal Tool-Using Agents From Novice to Expert: LLM Agent Policy Optimization via Step-wise Reinforcement Learning

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:11:26.263643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0a4235b4-367b-4b80-bcde-edbb89703962 · inbound

RSPO: Reward-Swap Policy Optimization for Multi-Turn LLM Agents cites this paper.

RSPO: Reward-Swap Policy Optimization for Multi-Turn LLM Agents From Novice to Expert: LLM Agent Policy Optimization via Step-wise Reinforcement Learning

Reference 36

Resolution: unresolved; no resolver link, observed 2026-07-11T14:43:39.668059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd08aaba-361d-4a92-8b93-176bc1499bb7 · inbound

Process Reward Informed Tree Rollout for Effective Multi-Turn RL cites this paper.

Process Reward Informed Tree Rollout for Effective Multi-Turn RL From Novice to Expert: LLM Agent Policy Optimization via Step-wise Reinforcement Learning

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-01T22:51:02.022603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2808dcb-3851-44b4-bd24-dd3d3550767a · inbound

ODYSSE: Episode-wise Policy Optimization for Personalized Agentic Reasoning cites this paper.

ODYSSE: Episode-wise Policy Optimization for Personalized Agentic Reasoning From Novice to Expert: LLM Agent Policy Optimization via Step-wise Reinforcement Learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T02:44:29.873290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.