Paper Citation Record · LEDGER

AutoGPT+P: Affordance-based Task Planning with Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2402.10778.

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

pith.paper-citation-record.v1
2402.10778 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:21:51.793075Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T11:36:55.330581Z

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 460c2442-640d-43d6-8a57-713dde63f8ff · inbound

The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey cites this paper.

The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey AutoGPT+P: Affordance-based Task Planning with Large Language Models

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-16T23:16:41.772274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2c940ec4-4420-4cb8-b892-9c8d7670e52d · inbound

Why do AI agents communicate in human language? cites this paper.

Why do AI agents communicate in human language? AutoGPT+P: Affordance-based Task Planning with Large Language Models

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T11:21:51.793075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab7ca8b1-c70d-4c7d-af0e-e9f98e497d6d · inbound

UniDomain: Pretraining a Unified PDDL Domain from Real-World Demonstrations for Generalizable Robot Task Planning cites this paper.

UniDomain: Pretraining a Unified PDDL Domain from Real-World Demonstrations for Generalizable Robot Task Planning AutoGPT+P: Affordance-based Task Planning with Large Language Models

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-19T03:02:00.248532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8eee4735-09cc-466a-ad8e-169ba509e470 · inbound

Toward Efficient Agents: Memory, Tool learning, and Planning cites this paper.

Toward Efficient Agents: Memory, Tool learning, and Planning AutoGPT+P: Affordance-based Task Planning with Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T09:21:33.227393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9176c59-9ad0-4426-8490-d7d1eac62ef2 · inbound

Any House Any Task: Scalable Long-Horizon Planning for Abstract Human Tasks cites this paper.

Any House Any Task: Scalable Long-Horizon Planning for Abstract Human Tasks AutoGPT+P: Affordance-based Task Planning with Large Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T06:05:29.089495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e0048e5-bea8-411c-b440-63189a8324df · inbound

The Vision Wormhole: Latent-Space Communication in Heterogeneous Multi-Agent Systems cites this paper.

The Vision Wormhole: Latent-Space Communication in Heterogeneous Multi-Agent Systems AutoGPT+P: Affordance-based Task Planning with Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T22:58:04.369657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3f486a2-e5af-4884-b748-f58c99881e8c · inbound

What Objects Enable, Not What They Are: Functional Latent Spaces for Affordance Reasoning cites this paper.

What Objects Enable, Not What They Are: Functional Latent Spaces for Affordance Reasoning AutoGPT+P: Affordance-based Task Planning with Large Language Models

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-02T11:36:55.332344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.