Paper Citation Record · LEDGER

Watch Every Step! LLM Agent Learning via Iterative Step-Level Process Refinement

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2406.11176.

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

pith.paper-citation-record.v1
2406.11176 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:51:42.816272Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:59:51.871553Z

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 9eb5afc0-64c0-48da-b24b-8ccaca91f770 · inbound

RRO: LLM Agent Optimization Through Rising Reward Trajectories cites this paper.

RRO: LLM Agent Optimization Through Rising Reward Trajectories Watch Every Step! LLM Agent Learning via Iterative Step-Level Process Refinement

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:42.816272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0282fc0-9feb-4ac3-a30a-0f6c441ec3e6 · inbound

ARIA: Training Language Agents with Intention-Driven Reward Aggregation cites this paper.

ARIA: Training Language Agents with Intention-Driven Reward Aggregation Watch Every Step! LLM Agent Learning via Iterative Step-Level Process Refinement

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:00.382912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1f80aea-97f8-48a6-95d1-188bcd44a41f · inbound

LLaPipe: LLM-Guided Reinforcement Learning for Automated Data Preparation Pipeline Construction cites this paper.

LLaPipe: LLM-Guided Reinforcement Learning for Automated Data Preparation Pipeline Construction Watch Every Step! LLM Agent Learning via Iterative Step-Level Process Refinement

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T16:23:32.671182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d41d0aa5-2fdd-42f2-b98b-92a9fc215029 · inbound

Source Component Shift Adaptation via Offline Decomposition and Online Mixing Approach cites this paper.

Source Component Shift Adaptation via Offline Decomposition and Online Mixing Approach Watch Every Step! LLM Agent Learning via Iterative Step-Level Process Refinement

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-05T20:35:47.501357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8a50294-3d51-4ab8-b6ae-ac7158af8ec7 · inbound

Leveraging OS-Level Primitives for Robotic Action Management cites this paper.

Leveraging OS-Level Primitives for Robotic Action Management Watch Every Step! LLM Agent Learning via Iterative Step-Level Process Refinement

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-05T20:38:44.914638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e141f2e5-c99d-43d4-acb4-8e21cc1a7426 · inbound

MENTOR: Reinforcement Learning via Flexible Teacher-Optimized Rewards for Tool-Use Distillation cites this paper.

MENTOR: Reinforcement Learning via Flexible Teacher-Optimized Rewards for Tool-Use Distillation Watch Every Step! LLM Agent Learning via Iterative Step-Level Process Refinement

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-04T08:55:58.792516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d03d49af-80a8-499d-b8ca-7a88a1d5fd69 · inbound

From Coarse to Fine: Self-Adaptive Hierarchical Planning for LLM Agents cites this paper.

From Coarse to Fine: Self-Adaptive Hierarchical Planning for LLM Agents Watch Every Step! LLM Agent Learning via Iterative Step-Level Process Refinement

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:46:10.629997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 17c7d3ff-d50a-45d5-868b-bfe81a49f6fa · inbound

Rewarding Beliefs, Not Actions: Consistency-Guided Credit Assignment for Long-Horizon Agents cites this paper.

Rewarding Beliefs, Not Actions: Consistency-Guided Credit Assignment for Long-Horizon Agents Watch Every Step! LLM Agent Learning via Iterative Step-Level Process Refinement

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-20T05:38:05.519281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e7d12215-7382-44ad-8576-043a4b10013d · inbound

MetaPS: Adaptive Programmatic Strategy Selection for Market Agents cites this paper.

MetaPS: Adaptive Programmatic Strategy Selection for Market Agents Watch Every Step! LLM Agent Learning via Iterative Step-Level Process Refinement

Reference 74

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T08:39:42.661633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 25f690f8-8941-470c-999a-6c17f4848234 · inbound

Reinforcement Learning without Ground-Truth Solutions can Improve LLMs cites this paper.

Reinforcement Learning without Ground-Truth Solutions can Improve LLMs Watch Every Step! LLM Agent Learning via Iterative Step-Level Process Refinement

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T13:59:51.873179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b00c4d8e-0e9d-4b43-a145-7500acd36a99 · inbound

Fishing Out Free Riders: Shapley-Based Reward Attribution for Parallel Reasoning via Reinforcement Learning cites this paper.

Fishing Out Free Riders: Shapley-Based Reward Attribution for Parallel Reasoning via Reinforcement Learning Watch Every Step! LLM Agent Learning via Iterative Step-Level Process Refinement

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-01T13:54:21.160424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c53a9ff-d3fa-4631-bbf8-a4207098375a · inbound

Leveraging Trajectory Graphs for Pre-Execution Error Diagnosis in Agentic LLM Systems cites this paper.

Leveraging Trajectory Graphs for Pre-Execution Error Diagnosis in Agentic LLM Systems Watch Every Step! LLM Agent Learning via Iterative Step-Level Process Refinement

Reference 64

Resolution: unresolved; no resolver link, observed 2026-07-31T00:46:12.901360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.