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Paper Citation Record · LEDGER

Sampling-Based Optimization for Multi-Agent Model Predictive Control

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2211.11878.

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

pith.paper-citation-record.v1
2211.11878 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:49:03.047929Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T13:49:04.665547Z

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 7b733929-3eba-4ee0-8ddf-d268fdcb8d19 · inbound

Decentralized Uncertainty-Aware Multi-Agent Collision Avoidance with Model Predictive Path Integral cites this paper.

Decentralized Uncertainty-Aware Multi-Agent Collision Avoidance with Model Predictive Path Integral Sampling-Based Optimization for Multi-Agent Model Predictive Control

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-08-06T13:49:04.712091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T13:49:03.047929Z digest=sha256:529d45797731060d694726ff96f141a90510a797190826fac49692fbefa0f409

Observation bb26356f-31b7-450a-8e7b-df5e6c02afb0 · inbound

CoRL-MPPI: Enhancing MPPI With Learnable Behaviours For Efficient And Provably-Safe Multi-Robot Collision Avoidance cites this paper.

CoRL-MPPI: Enhancing MPPI With Learnable Behaviours For Efficient And Provably-Safe Multi-Robot Collision Avoidance Sampling-Based Optimization for Multi-Agent Model Predictive Control

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-03T22:45:05.272719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:45:05.272719Z digest=sha256:f5972290e7893186c2f518fa30e392412e2963d66aa751032d23cc25b60565ac