Pith. sign in

Paper Citation Record · LEDGER

MARLIM: Multi-Agent Reinforcement Learning for Inventory Management

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2308.01649.

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

pith.paper-citation-record.v1
2308.01649 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 2026-08-13T06:32:02.005865+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:24:56.432000Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T03:02:09.992085Z

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 d8eb6738-9cda-4271-ab1d-8a2c8346f634 · inbound

Collaborating in a competitive world: Heterogeneous Multi-Agent Decision Making in Symbiotic Supply Chain Environments cites this paper.

Collaborating in a competitive world: Heterogeneous Multi-Agent Decision Making in Symbiotic Supply Chain Environments MARLIM: Multi-Agent Reinforcement Learning for Inventory Management

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-10T15:24:56.432000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:24:56.432000Z digest=sha256:3f29737059d8bde52e47ad2e2c5f9d7b0973feb6d53ec484e1497c1c1c6f0ec4

Observation 3173f6d7-6862-4fac-bd11-dad2466e3ed0 · inbound

A Survey of Reinforcement Learning for Optimization in Automation cites this paper.

A Survey of Reinforcement Learning for Optimization in Automation MARLIM: Multi-Agent Reinforcement Learning for Inventory Management

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T21:36:33.285873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T21:36:33.285873Z digest=sha256:2e98d24d652b849168e19821c090b08b66544cf168da6d542ae1f76df4a51fcb

Observation 15f393b6-564d-4458-a6e4-9cb6cdc0d113 · inbound

gym-invmgmt: An Open Benchmarking Framework for Inventory Management Methods cites this paper.

gym-invmgmt: An Open Benchmarking Framework for Inventory Management Methods MARLIM: Multi-Agent Reinforcement Learning for Inventory Management

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-13T03:02:09.994473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-13T02:58:48.217000Z digest=sha256:5c7c83c816df8903160783e07dcffa3d3225f42fb7ce9eaf5bc9e85a631e02b6

Observation 1e9dbf4e-33bb-4670-ab08-cdc56641426a · inbound

Two-Timescale Hierarchical Reinforcement Learning for Resilient Operations cites this paper.

Two-Timescale Hierarchical Reinforcement Learning for Resilient Operations MARLIM: Multi-Agent Reinforcement Learning for Inventory Management

Reference 27

Resolution
unresolved
no resolver link, observed 2026-07-30T22:14:20.238164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T22:14:20.238164Z digest=sha256:b70aab7c4f739a6438b1f1c6e7f6ab07faa0144618ffd6d564707e6b30fa93fa