Paper Citation Record · LEDGER

Deep Inventory Management

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2210.03137.

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

pith.paper-citation-record.v1
2210.03137 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:53:15.323524Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T21:43:45.382645Z

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 a84f011f-1ae4-4dcb-8f89-5c1b69e3694c · inbound

A Planning Framework for Adaptive Labeling cites this paper.

A Planning Framework for Adaptive Labeling Deep Inventory Management

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-08T16:56:56.670511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d56de98-f179-4bd7-9353-04ecada98d95 · inbound

A Study of Data-driven Methods for Inventory Optimization cites this paper.

A Study of Data-driven Methods for Inventory Optimization Deep Inventory Management

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:15.323524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e406a1f-0e5d-4dc8-92de-31b22329086a · inbound

Structure-Informed Deep Reinforcement Learning for Inventory Management cites this paper.

Structure-Informed Deep Reinforcement Learning for Inventory Management Deep Inventory Management

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T12:12:46.227068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0797025-9d6f-49e2-a86a-9f105c33316d · inbound

Ready from Day 1: Population-Aware Coordination for Large-Scale Constrained Multi-Agent Systems cites this paper.

Ready from Day 1: Population-Aware Coordination for Large-Scale Constrained Multi-Agent Systems Deep Inventory Management

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:05:02.403513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3bb0dc91-15d9-4078-8b37-6d14e4b4e062 · inbound

Ready from Day 1: Population-Aware Coordination for Large-Scale Constrained Multi-Agent Systems cites this paper.

Ready from Day 1: Population-Aware Coordination for Large-Scale Constrained Multi-Agent Systems Deep Inventory Management

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-20T21:43:45.384389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ccd1098e-b61c-43a7-942b-4945541eb87e · 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 Deep Inventory Management

Reference 40

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T02:13:30.142335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 36287bc7-9bde-43cf-b43e-d2a1884e3b00 · inbound

Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiable Projection cites this paper.

Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiable Projection Deep Inventory Management

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T09:06:04.860504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.