Paper Citation Record · LEDGER

Multiverse Transformer: 1st Place Solution for Waymo Open Sim Agents Challenge 2023

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2306.11868.

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

pith.paper-citation-record.v1
2306.11868 v1

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 2026-08-22T06:32:14.747728+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T05:08:32.786796Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T10:45:42.647555Z

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 01c17366-be68-4d96-8b93-5b0da930d68b · inbound

Robust Autonomy Emerges from Self-Play cites this paper.

Robust Autonomy Emerges from Self-Play Multiverse Transformer: 1st Place Solution for Waymo Open Sim Agents Challenge 2023

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-09T05:08:32.786796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 505114d0-f972-491b-8d84-432c821486f9 · inbound

RLFTSim: Realistic and Controllable Multi-Agent Traffic Simulation via Reinforcement Learning Fine-Tuning cites this paper.

RLFTSim: Realistic and Controllable Multi-Agent Traffic Simulation via Reinforcement Learning Fine-Tuning Multiverse Transformer: 1st Place Solution for Waymo Open Sim Agents Challenge 2023

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-20T09:23:10.773544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bc13a674-f585-4b50-94a6-de24a003b676 · inbound

Long-term Traffic Simulation via Structured Autoregressive Modeling cites this paper.

Long-term Traffic Simulation via Structured Autoregressive Modeling Multiverse Transformer: 1st Place Solution for Waymo Open Sim Agents Challenge 2023

Reference 65

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T10:05:40.768228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 19d56d0c-2a40-483c-bf47-60bc0e67a61e · inbound

Bridging Local Observation and Global Simulation in Closed-Loop Traffic Modeling cites this paper.

Bridging Local Observation and Global Simulation in Closed-Loop Traffic Modeling Multiverse Transformer: 1st Place Solution for Waymo Open Sim Agents Challenge 2023

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-07-01T10:45:42.649065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.