Paper Citation Record · LEDGER

AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2401.05268.

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

pith.paper-citation-record.v1
2401.05268 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:12:03.375246Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T21:52:10.113149Z

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 3610d6b6-b986-48a4-b109-a6465c1e51ca · inbound

Multi-Agent Collaboration Mechanisms: A Survey of LLMs cites this paper.

Multi-Agent Collaboration Mechanisms: A Survey of LLMs AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning

Reference 106

Resolution: verified exact; arxiv_id, observed 2026-05-13T15:54:54.537867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 51bc6a9c-ae92-4b5d-9ffe-29b62835d531 · inbound

Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models cites this paper.

Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning

Reference 110

Resolution: verified exact; arxiv_id, observed 2026-05-15T21:20:59.185641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6d4f4221-62d5-41c3-9b03-30186a123e27 · inbound

Large Language Model Agent: A Survey on Methodology, Applications and Challenges cites this paper.

Large Language Model Agent: A Survey on Methodology, Applications and Challenges AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning

Reference 75

Resolution: verified exact; arxiv_id, observed 2026-05-22T21:52:10.116682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5061b482-2cb4-460d-ab88-b06e19234747 · inbound

Large Language Models for Planning: A Comprehensive and Systematic Survey cites this paper.

Large Language Models for Planning: A Comprehensive and Systematic Survey AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning

Reference 194

Resolution: unresolved; no resolver link, observed 2026-08-07T14:12:03.375246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 255d3307-8ebf-44f7-b635-5f9c4392b173 · inbound

Optimal-Agent-Selection: State-Aware Routing Framework for Efficient Multi-Agent Collaboration cites this paper.

Optimal-Agent-Selection: State-Aware Routing Framework for Efficient Multi-Agent Collaboration AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T00:16:18.694942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.