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Paper Citation Record · LEDGER

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

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 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 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:43:10.970618Z

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-16T23:16:41.679855Z digest=sha256:888abd29698d035f39c69178a548945008c9ae9e88161b652f4b9faf9ee399d1

Observation abc85e80-a5aa-488a-a089-d933f98d2dc7 · inbound

From Screens to Scenes: A Survey of Embodied AI in Healthcare cites this paper.

From Screens to Scenes: A Survey of Embodied AI in Healthcare AutoGPT+P: Affordance-based Task Planning with Large Language Models

Reference 269

Resolution
unresolved
no resolver link, observed 2026-08-10T20:43:10.970618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:43:10.970618Z digest=sha256:0f2b08ffd3db632f8e8a5e5eff68d3ad8ee0cf9fba4a71aefb2ca12c7ba9110d

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.

source=pdf_text observed=2026-08-07T11:21:51.793075Z digest=sha256:eda7ffc8c40d890a4efa09a7d74e3610010a0ddd0100e083258246a90185de21

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T03:00:28.619627Z digest=sha256:c292d88adf68629b59a6d9ced44369cc8aca3b36d80917844d910c268f7cea5c

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.

source=pdf_text observed=2026-08-03T09:21:33.227393Z digest=sha256:e99956bbb7c595607f862fbc9dada2ab2462be2ae12bbcf6dc296e74081e146b

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.

source=pdf_text observed=2026-08-04T06:05:29.089495Z digest=sha256:280b766ecece5d47f2482ac4cd2cca8355588ee2175e1c98c7310ba0bf179151

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.

source=arxiv_source observed=2026-08-02T22:58:04.369657Z digest=sha256:dbd70e3d8125b812cd573173e68d41200789703ed63408a336996ca811024886

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-28T03:15:49.904557Z digest=sha256:c12f7574514db2248f3f58ccd63529cd3d5649aef77667dc355652eeaca747a8