Paper Citation Record · LEDGER

Agent Planning with World Knowledge Model

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2405.14205.

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

pith.paper-citation-record.v1
2405.14205 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 2026-08-18T06:34:40.430872+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:24:04.488576Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:06:58.557897Z

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 37d84909-88e9-4cc9-a77a-f32a0963081e · inbound

AgentRefine: Enhancing Agent Generalization through Refinement Tuning cites this paper.

AgentRefine: Enhancing Agent Generalization through Refinement Tuning Agent Planning with World Knowledge Model

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T22:24:43.103194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff24d9be-43f6-4f36-90b8-b20e444d6f3d · inbound

SOP-Agent: Empower General Purpose AI Agent with Domain-Specific SOPs cites this paper.

SOP-Agent: Empower General Purpose AI Agent with Domain-Specific SOPs Agent Planning with World Knowledge Model

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T20:11:48.602573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6534cad1-4951-4d83-8290-7128cdf37098 · inbound

InstructRAG: Leveraging Retrieval-Augmented Generation on Instruction Graphs for LLM-Based Task Planning cites this paper.

InstructRAG: Leveraging Retrieval-Augmented Generation on Instruction Graphs for LLM-Based Task Planning Agent Planning with World Knowledge Model

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T12:24:04.488576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e3097b8-42e0-4449-afa7-5b8a10a5948a · inbound

Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking cites this paper.

Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking Agent Planning with World Knowledge Model

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:06:58.636606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 80833f82-716a-4606-94df-901192ed9acf · inbound

Quo Vadis, World Modeling? cites this paper.

Quo Vadis, World Modeling? Agent Planning with World Knowledge Model

Reference 126

Resolution: unresolved; no resolver link, observed 2026-08-07T00:14:09.292105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.