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Paper Citation Record · LEDGER

Multi-Agent Reinforcement Learning with Shared Resources for Inventory Management

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2212.07684.

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

pith.paper-citation-record.v1
2212.07684 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:19:30.025327Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T02:13:30.152334Z

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 942e7eff-05ef-4a87-938e-2ff4d0879f5b · inbound

CORD: Generalizable Cooperation via Role Diversity cites this paper.

CORD: Generalizable Cooperation via Role Diversity Multi-Agent Reinforcement Learning with Shared Resources for Inventory Management

Reference 2012

Resolution
unresolved
no resolver link, observed 2026-08-10T22:19:30.025327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:19:30.025327Z digest=sha256:14b94750c07e40dee7f655175a6ceb268e38adda2403237adc6f721ed460f484

Observation 169b0b1a-3164-4231-b7db-d9de718160dc · 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 Multi-Agent Reinforcement Learning with Shared Resources for Inventory Management

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T15:24:56.381547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:24:56.381547Z digest=sha256:5c72e16d7eef0ab417e1972da5389ccd5efb9e4d53720a653d18afd1cf6ab18d

Observation 6eadf903-f23a-47b3-b9f7-642cbf4a0e7a · inbound

Policy Optimization in Hybrid Discrete-Continuous Action Spaces via Mixed Gradients cites this paper.

Policy Optimization in Hybrid Discrete-Continuous Action Spaces via Mixed Gradients Multi-Agent Reinforcement Learning with Shared Resources for Inventory Management

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:13:30.154372Z

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.

source=arxiv_source observed=2026-05-15T02:12:58.603012Z digest=sha256:30fb78519dbc1148c2c59a1c691e485565203e5b61a0f7a70e625bf7107467a7