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Paper Citation Record · LEDGER

Neural Coordination and Capacity Control for Inventory Management

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.02817.

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

pith.paper-citation-record.v1
2410.02817 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:12:46.208776Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T21:43:45.382320Z

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 7cc77b74-c586-4f1f-8888-26808122f5d9 · inbound

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

Structure-Informed Deep Reinforcement Learning for Inventory Management Neural Coordination and Capacity Control for Inventory Management

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-06T12:12:46.208776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:12:46.208776Z digest=sha256:e0e39358d063a27a0b62c8b1b748a58a6373f1c2a8e18e6cc82c3b74f4a80198

Observation 92f9a3e4-389b-4046-85c6-76acac0969ad · 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 Neural Coordination and Capacity Control for Inventory Management

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-15T05:05:02.407355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T05:01:36.424451Z digest=sha256:09a047a53a37cf4e54d1f25f0b6f9ba99ceeffccfef5648ac32753948601a426

Observation a2d239c5-bbb2-465f-a390-cb420f9e1f8c · 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 Neural Coordination and Capacity Control for Inventory Management

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-20T21:43:45.383791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-20T21:42:50.864341Z digest=sha256:6e7c75ec638b53ba70eeb8c31e34b0e25ce3d085fb9b3726b06907091248baaa

Observation 3107638f-2687-4c6d-86f8-ffd1245661bd · 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 Neural Coordination and Capacity Control for Inventory Management

Reference 88

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T02:13:30.138766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-15T02:12:58.603012Z digest=sha256:3710d493c639ea47f31cf2aafc45203f803e29b230d9bae8f8830c6abda6bcfe

Observation 245a7c15-5c15-4cd3-97e0-1cf48a254ff0 · 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 Neural Coordination and Capacity Control for Inventory Management

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-04T09:06:03.200845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T09:06:03.200845Z digest=sha256:c6ec60f251af13a300acd7548cc27deeb6382966973e0503158b8cc6dce33eec