Paper Citation Record · LEDGER

Pre-Act: Multi-Step Planning and Reasoning Improves Acting in LLM Agents

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2505.09970.

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

pith.paper-citation-record.v1
2505.09970 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:38:39.775330Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T06:24:40.500232Z

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 eb5d2e69-9e66-4020-a399-b7b8d8abb2f1 · inbound

Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory cites this paper.

Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory Pre-Act: Multi-Step Planning and Reasoning Improves Acting in LLM Agents

Reference 230

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T23:13:15.648858Z

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 f1d23a85-752e-44a1-a505-0654b106accb · inbound

Agentic Reasoning for Large Language Models cites this paper.

Agentic Reasoning for Large Language Models Pre-Act: Multi-Step Planning and Reasoning Improves Acting in LLM Agents

Reference 102

Resolution: verified exact; arxiv_id, observed 2026-05-17T15:14:25.983640Z

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 2a95c44f-249b-4b7a-8e1f-e53a8240e461 · inbound

ROSE: Rollout On Serving GPUs via Cooperative Elasticity for Agentic RL cites this paper.

ROSE: Rollout On Serving GPUs via Cooperative Elasticity for Agentic RL Pre-Act: Multi-Step Planning and Reasoning Improves Acting in LLM Agents

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:31:16.016521Z

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 5412bea4-b3ca-4ee3-980e-7c41b3819e9b · inbound

ROSE: Rollout On Serving GPUs via Cooperative Elasticity for Agentic RL cites this paper.

ROSE: Rollout On Serving GPUs via Cooperative Elasticity for Agentic RL Pre-Act: Multi-Step Planning and Reasoning Improves Acting in LLM Agents

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-21T08:39:53.221001Z

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 c3e685fb-94eb-412e-b203-f22b735dc32a · inbound

From Table to Cell: Attention for Better Reasoning with TABALIGN cites this paper.

From Table to Cell: Attention for Better Reasoning with TABALIGN Pre-Act: Multi-Step Planning and Reasoning Improves Acting in LLM Agents

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-15T01:33:27.258645Z

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 ecb73ab9-6c69-4cd5-9d70-10c52deae6a9 · inbound

IdleSpec: Exploiting Idle Time via Speculative Planning for LLM Agents cites this paper.

IdleSpec: Exploiting Idle Time via Speculative Planning for LLM Agents Pre-Act: Multi-Step Planning and Reasoning Improves Acting in LLM Agents

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-22T06:24:40.502910Z

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 00b896cc-a6a3-40b4-8918-f27d76cee025 · inbound

NeSyFS: A Neuro-symbolic Fast-Slow Thinking Framework for LLM Agent under Partial Observability cites this paper.

NeSyFS: A Neuro-symbolic Fast-Slow Thinking Framework for LLM Agent under Partial Observability Pre-Act: Multi-Step Planning and Reasoning Improves Acting in LLM Agents

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T16:54:57.580777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03686e7a-0366-405a-bcc1-af840b9802ed · inbound

NeSyFS: A Neuro-symbolic Fast-Slow Thinking Framework for LLM Agent under Partial Observability cites this paper.

NeSyFS: A Neuro-symbolic Fast-Slow Thinking Framework for LLM Agent under Partial Observability Pre-Act: Multi-Step Planning and Reasoning Improves Acting in LLM Agents

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T04:24:56.445855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 352d16cb-a162-4458-b858-2ae9db23668d · inbound

TrajWiki: Source-Grounded Memory Trajectories for Long-Horizon Dialogue Agents cites this paper.

TrajWiki: Source-Grounded Memory Trajectories for Long-Horizon Dialogue Agents Pre-Act: Multi-Step Planning and Reasoning Improves Acting in LLM Agents

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T00:38:39.775330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.