Paper Citation Record · LEDGER

Multi-Game Decision Transformers

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2205.15241.

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

pith.paper-citation-record.v1
2205.15241 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 2026-08-12T06:34:41.77262+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:55:13.369078Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T11:06:52.485222Z

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 0eefdead-9217-4bf6-8c55-143317d71602 · inbound

Learning Interactive Real-World Simulators cites this paper.

Learning Interactive Real-World Simulators Multi-Game Decision Transformers

Reference 259

Resolution: verified exact; arxiv_id, observed 2026-05-16T02:15:18.601115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6c6cbd8b-3d43-4912-8455-e83cb052e20f · inbound

From Multimodal LLMs to Generalist Embodied Agents: Methods and Lessons cites this paper.

From Multimodal LLMs to Generalist Embodied Agents: Methods and Lessons Multi-Game Decision Transformers

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-11T17:55:13.369078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4169bd5-af25-4676-84dd-059364a24f55 · inbound

A Decision Transformer Approach to Grain Boundary Network Optimization cites this paper.

A Decision Transformer Approach to Grain Boundary Network Optimization Multi-Game Decision Transformers

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T11:32:38.632254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 509a2ea9-5c56-428c-9e8e-d5fa44404ded · inbound

A Forget-and-Grow Strategy for Deep Reinforcement Learning Scaling in Continuous Control cites this paper.

A Forget-and-Grow Strategy for Deep Reinforcement Learning Scaling in Continuous Control Multi-Game Decision Transformers

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T20:31:07.794565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87c69a93-2d29-4e6c-8c1c-7c2e2cac6786 · inbound

Transformer-Enhanced Reinforcement Learning: Fundamentals and Applications in Communication Networks cites this paper.

Transformer-Enhanced Reinforcement Learning: Fundamentals and Applications in Communication Networks Multi-Game Decision Transformers

Reference 70

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T16:23:39.696810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1367989e-dca1-4740-8837-252f09ae81f1 · inbound

Structured 4D Latent Predictive Model for Robot Planning cites this paper.

Structured 4D Latent Predictive Model for Robot Planning Multi-Game Decision Transformers

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-02T11:06:52.486521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4c8e32a0-503c-44a1-8d44-222f589ee45b · inbound

Reinforcement Learning: From Algorithms To Foundation Models cites this paper.

Reinforcement Learning: From Algorithms To Foundation Models Multi-Game Decision Transformers

Reference 216

Resolution: unresolved; no resolver link, observed 2026-08-01T17:45:17.611993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.