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Paper Citation Record · LEDGER

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

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 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 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:09:00.382912Z

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 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.

source=pdf_text observed=2026-08-07T12:09:00.382912Z digest=sha256:97239b8d4a2474e673468c12231e73862fb906ff7b16dd0b9033ec6d5232e240

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.

source=pdf_text observed=2026-08-06T16:23:32.671182Z digest=sha256:f72799fb165d36d9ccc81b19101578c4aaed4436f016ed9cf4a69de836ce89d6

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.

source=pdf_text observed=2026-08-05T20:35:47.501357Z digest=sha256:a75f808d564f5ae812b5d5542726468abb8cdefda1babd6ae17ab0412f29ae39

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.

source=pdf_text observed=2026-08-05T20:38:44.914638Z digest=sha256:6b096efd4057fccbe720a34536cd4cac73199c6d8b83efebb2cdbd046d4d82e4

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.

source=arxiv_source observed=2026-08-04T08:55:58.792516Z digest=sha256:cbcd000bdbbd347028040cf850c97d49516adb0803f56b962110f7fca2ce58bb

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-08T08:10:36.579810Z digest=sha256:2bcb09c64f7978ea9e211d4404b19dfaf52123537a1eb2a5ade160f2196bbc2f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T05:35:45.084011Z digest=sha256:078a631243d00c85e8c4283b00d25ef608530fcebc305169f296a5418b33e477

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-26T11:06:28.690956Z digest=sha256:2d1dd2b38eaa8e1829369b9404bc547d6b89f7ba62ed9b32e7899bfb1baff36a

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-26T04:47:47.691913Z digest=sha256:5d7a7cc25863808fc2e8ef1108862e4e6269236b85615b42667c5e2a6d36b4b9

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.

source=arxiv_source observed=2026-08-01T13:54:21.160424Z digest=sha256:76d0382feddcc2dc173cf523185b4a41b5ed62f95a99d3f4c2cdc67a1336ed93

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.

source=pdf_text observed=2026-07-31T00:46:12.901360Z digest=sha256:5ba55e03e52f909300344760cb4448a50ad90ad2f41edd7b0aa78d642e5aabd9