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Paper Citation Record · LEDGER

A Reinforcement Learning Environment For Job-Shop Scheduling

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2104.03760.

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

pith.paper-citation-record.v1
2104.03760 v1

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 2026-08-18T06:34:40.430872+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:00:41.135999Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T21:11:18.710290Z

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 9660a99f-e735-441d-999d-6da87ea80218 · inbound

Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets cites this paper.

Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets A Reinforcement Learning Environment For Job-Shop Scheduling

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-15T21:00:41.135999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:00:41.135999Z digest=sha256:1156b3c06c8f5de5fa725a01a09b816edb60dbf8b51bf8010e863389283c63c0

Observation 07132646-8924-4ce1-95a9-3fc4ef096c01 · inbound

A Production Scheduling Framework for Reinforcement Learning Under Real-World Constraints cites this paper.

A Production Scheduling Framework for Reinforcement Learning Under Real-World Constraints A Reinforcement Learning Environment For Job-Shop Scheduling

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T00:33:59.916151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:33:59.916151Z digest=sha256:308ef7964897eb8240b67dcea2b0ff817108aba5bf69ba3fd832756fd5980f3a

Observation 08ede8cc-e1fb-4150-bb71-e0f273b40dc0 · inbound

Scalable Production Scheduling: Linear Complexity via Unified Homogeneous Graphs cites this paper.

Scalable Production Scheduling: Linear Complexity via Unified Homogeneous Graphs A Reinforcement Learning Environment For Job-Shop Scheduling

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:11:18.713113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-08T06:31:39.576361Z digest=sha256:942924ead4082dfc9b1929fc184874e0c5bc63166f2ec2a5773cb47ada6d1a90