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Paper Citation Record · LEDGER

Reinforcement Learning for Multi-Product Multi-Node Inventory Management in Supply Chains

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2006.04037.

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

pith.paper-citation-record.v1
2006.04037 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 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:24:56.478968Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T21:36:34.123449Z

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 d4477a6c-8257-414f-a50a-a13bc31b6aa7 · 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 Reinforcement Learning for Multi-Product Multi-Node Inventory Management in Supply Chains

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-10T15:24:56.478968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:24:56.478968Z digest=sha256:d5e1653ef3053e2425c469c54b3beedbf1b7cd116e1a6b198f78f91d1ff83a18

Observation 50c6bcaf-e1fa-497e-8c4c-20836238db5d · inbound

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

A Survey of Reinforcement Learning for Optimization in Automation Reinforcement Learning for Multi-Product Multi-Node Inventory Management in Supply Chains

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-08-07T21:36:34.128913Z

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.

source=pdf_text observed=2026-08-07T21:36:33.270606Z digest=sha256:0487abb211292b48647f8be759e85d159f9335233b72d7bd89da94066862c72d