Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T21:24:24.673392Z
Paper Citation Record · LEDGER
Pre-Act: Multi-Step Planning and Reasoning Improves Acting in LLM Agents
As of 19 August 2026, this Paper Citation Record lists 24 of 24 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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T00:38:39.775330Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T06:24:40.500232Z
Reference resolution
24 of 24 outbound references displayed
- verified exact0
- verified fuzzy17
- unresolved7
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 3a65ae3d-29e3-4714-9b95-d1d2b83195ac · outbound
This paper cites action":.
Pre-Act: Multi-Step Planning and Reasoning Improves Acting in LLM Agents action":
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:24:24.925223Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 3cc68498-0b4b-495f-8eac-ae28c34fd217 · outbound
This paper cites Otherwise, provide Previous Steps: NA and Next Steps: .. Action: ``` {.
Pre-Act: Multi-Step Planning and Reasoning Improves Acting in LLM Agents Otherwise, provide Previous Steps: NA and Next Steps: .. Action: ``` {
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:24:24.907254Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 8ecd318b-1381-441c-8c99-b470bd52594c · outbound
This paper cites This checkpoint ensures that the proper branch is taken based on the order status.
Pre-Act: Multi-Step Planning and Reasoning Improves Acting in LLM Agents This checkpoint ensures that the proper branch is taken based on the order status
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:24:24.860312Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 68ccd89c-ed6b-492d-b083-b98e0fbe872b · outbound
This paper cites (action1) with the detailed reasoning.
Pre-Act: Multi-Step Planning and Reasoning Improves Acting in LLM Agents (action1) with the detailed reasoning
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:24:24.916207Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 5bdeafb8-2ce6-4a6b-9072-f309f4cd5736 · outbound
This paper cites ================================================================ Example 1 : Workflow with instructions : You are an expert customer service agent specializing in order tracking.
Pre-Act: Multi-Step Planning and Reasoning Improves Acting in LLM Agents ================================================================ Example 1 : Workflow with instructions : You are an expert customer service agent specializing in order tracking
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:24:24.787307Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation c85b3af2-9a20-456b-862c-1870ae2229e1 · outbound
This paper cites - For non-functional milestones (NFC), this is usually a descriptive state or phrase.
Pre-Act: Multi-Step Planning and Reasoning Improves Acting in LLM Agents - For non-functional milestones (NFC), this is usually a descriptive state or phrase
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:24:24.897914Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation c42883e9-3558-4910-ba03-5d4f1aaaac39 · outbound
This paper cites FC" - Functional milestones are exactly function name given in the tool description. For example.
Pre-Act: Multi-Step Planning and Reasoning Improves Acting in LLM Agents FC" - Functional milestones are exactly function name given in the tool description. For example
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:24:24.888775Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation f6ce0e6b-adc4-4065-800e-a13492c843b5 · outbound
This paper cites User Agree to pay is a non functional milestone.
Pre-Act: Multi-Step Planning and Reasoning Improves Acting in LLM Agents User Agree to pay is a non functional milestone
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:24:24.879704Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 7474884b-0785-4daf-85b2-59b7b5dfd3d4 · outbound
This paper cites Initialization.
Pre-Act: Multi-Step Planning and Reasoning Improves Acting in LLM Agents Initialization
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:24:24.869699Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation b69ae5f7-862e-4cec-997c-6f4b991ea260 · outbound
This paper cites an unresolved cited work.
Pre-Act: Multi-Step Planning and Reasoning Improves Acting in LLM Agents Unresolved cited work
Reference 11
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T21:24:24.851147Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 50713317-fd1e-40eb-b2c4-f744341b61b2 · outbound
This paper cites an unresolved cited work.
Pre-Act: Multi-Step Planning and Reasoning Improves Acting in LLM Agents Unresolved cited work
Reference 12
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T21:24:24.842499Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 97b13a2c-be5f-4c35-b24c-2aed67af326e · outbound
This paper cites **Important Instructions**.
Pre-Act: Multi-Step Planning and Reasoning Improves Acting in LLM Agents **Important Instructions**
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:24:24.833338Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 53508538-eaf4-4626-bbf2-8e6d2b6a7058 · outbound
This paper cites Start" milestone (type.
Pre-Act: Multi-Step Planning and Reasoning Improves Acting in LLM Agents Start" milestone (type
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:24:24.824214Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 88447de6-ae1f-4368-802f-b3e1dbb06b52 · outbound
This paper cites End" milestone (type.
Pre-Act: Multi-Step Planning and Reasoning Improves Acting in LLM Agents End" milestone (type
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:24:24.814604Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 33ec4528-b1e0-40a0-99b4-da276113e0d8 · outbound
This paper cites an unresolved cited work.
Pre-Act: Multi-Step Planning and Reasoning Improves Acting in LLM Agents Unresolved cited work
Reference 16
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T21:24:24.805405Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e2a76709-9c40-478c-ba6a-e4dcea3a879e · outbound
This paper cites an unresolved cited work.
Pre-Act: Multi-Step Planning and Reasoning Improves Acting in LLM Agents Unresolved cited work
Reference 17
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T21:24:24.796309Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation eb47c7be-8b84-41ac-82c9-8ca43f58be66 · outbound
This paper cites an unresolved cited work.
Pre-Act: Multi-Step Planning and Reasoning Improves Acting in LLM Agents Unresolved cited work
Reference 19
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T21:24:24.777091Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 7f261ea7-9b94-4ddb-9fdb-74570b6603bb · outbound
This paper cites Are you satisfied with the information provided, and can we wrap up the call?.
Pre-Act: Multi-Step Planning and Reasoning Improves Acting in LLM Agents Are you satisfied with the information provided, and can we wrap up the call?
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:24:24.767059Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 019e4b76-a70e-49ae-a859-74ba5bff4497 · outbound
This paper cites - If the customer confirms non-receipt, transfer to human to escalate the situation.
Pre-Act: Multi-Step Planning and Reasoning Improves Acting in LLM Agents - If the customer confirms non-receipt, transfer to human to escalate the situation
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:24:24.756542Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 9c0069df-810d-4977-8b05-01bc93f7858d · outbound
This paper cites - If the customer accepts expedited shipping, mark problem resolved.
Pre-Act: Multi-Step Planning and Reasoning Improves Acting in LLM Agents - If the customer accepts expedited shipping, mark problem resolved
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:24:24.746641Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 97fad905-2fe0-45c1-b9f5-c2f916c985b5 · outbound
This paper cites Are you satisfied with the information provided, and can we wrap up the call?.
Pre-Act: Multi-Step Planning and Reasoning Improves Acting in LLM Agents Are you satisfied with the information provided, and can we wrap up the call?
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:24:24.736402Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation c884c7a1-b542-4f1c-bebd-ae1214196209 · outbound
This paper cites Use transferToHuman if there is any query beyond the provided tool abilities.
Pre-Act: Multi-Step Planning and Reasoning Improves Acting in LLM Agents Use transferToHuman if there is any query beyond the provided tool abilities
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:24:24.726359Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 9b612140-766e-4006-bff8-0c6a32832533 · outbound
This paper cites Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient Tuning.
Pre-Act: Multi-Step Planning and Reasoning Improves Acting in LLM Agents Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient Tuning
Reference 2000
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:24:24.600022Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3a038196-e6dc-45df-8ac6-af7847814279 · outbound
This paper cites Least-to-Most Prompting Enables Complex Reasoning in Large Language Models.
Pre-Act: Multi-Step Planning and Reasoning Improves Acting in LLM Agents Least-to-Most Prompting Enables Complex Reasoning in Large Language Models
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:24:24.604119Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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.