Paper Citation Record · LEDGER

Action-GPT: Leveraging Large-scale Language Models for Improved and Generalized Action Generation

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2211.15603.

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

pith.paper-citation-record.v1
2211.15603 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:36:11.920522Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T20:17:33.823852Z

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 ef164e65-849d-4d24-aeb3-359cea5f1d06 · inbound

Text-driven Motion Generation: Overview, Challenges and Directions cites this paper.

Text-driven Motion Generation: Overview, Challenges and Directions Action-GPT: Leveraging Large-scale Language Models for Improved and Generalized Action Generation

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T21:36:11.920522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6018c5ae-b132-47e5-8d3b-f4093c25611b · inbound

PINO: Person-Interaction Noise Optimization for Long-Duration and Customizable Motion Generation of Arbitrary-Sized Groups cites this paper.

PINO: Person-Interaction Noise Optimization for Long-Duration and Customizable Motion Generation of Arbitrary-Sized Groups Action-GPT: Leveraging Large-scale Language Models for Improved and Generalized Action Generation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T18:00:28.812637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c284038a-046c-4509-8f22-2b5ecd849dec · inbound

InterCMDM: Block-Causal Diffusion for Autoregressive Human Interaction Generation cites this paper.

InterCMDM: Block-Causal Diffusion for Autoregressive Human Interaction Generation Action-GPT: Leveraging Large-scale Language Models for Improved and Generalized Action Generation

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T16:48:39.522105Z

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 22fe5016-ecc0-449c-b98f-a35d05d360dc · inbound

Retrieving and Refining Winning Noise Tickets for Diffusion-Based Motion Generation cites this paper.

Retrieving and Refining Winning Noise Tickets for Diffusion-Based Motion Generation Action-GPT: Leveraging Large-scale Language Models for Improved and Generalized Action Generation

Reference 16

Resolution: metadata mismatch; local_arxiv, observed 2026-07-10T20:17:33.825107Z

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.