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Paper Citation Record · LEDGER

Ranked Reward: Enabling Self-Play Reinforcement Learning for Combinatorial Optimization

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1807.01672.

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

pith.paper-citation-record.v1
1807.01672 v3

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 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:59:39.709667Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T09:16:03.069064Z

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 decacaa9-f0b3-40ee-a723-1fcf6afa5fd7 · inbound

DOPPLER: Dual-Policy Learning for Device Assignment in Asynchronous Dataflow Graphs cites this paper.

DOPPLER: Dual-Policy Learning for Device Assignment in Asynchronous Dataflow Graphs Ranked Reward: Enabling Self-Play Reinforcement Learning for Combinatorial Optimization

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T12:59:39.709667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:59:39.709667Z digest=sha256:aba3143c6e3d78858d45fdec66cbe47e15327923f5717109c265f121ed9e6a46

Observation 2442e345-8c24-4d80-b58d-6f7c2b6438d1 · inbound

One4Many-StablePacker: An Efficient Deep Reinforcement Learning Framework for the 3D Bin Packing Problem cites this paper.

One4Many-StablePacker: An Efficient Deep Reinforcement Learning Framework for the 3D Bin Packing Problem Ranked Reward: Enabling Self-Play Reinforcement Learning for Combinatorial Optimization

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-04T10:26:08.510755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T10:26:08.510755Z digest=sha256:f1a521ee3976540855438d68d3050709385ed757c3883aacbf1403ce5c83207f

Observation e991ce27-a8d3-44e6-a902-8bdf1d231828 · inbound

Diffusion Reinforcement Learning Based Online 3D Bin Packing Spatial Strategy Optimization cites this paper.

Diffusion Reinforcement Learning Based Online 3D Bin Packing Spatial Strategy Optimization Ranked Reward: Enabling Self-Play Reinforcement Learning for Combinatorial Optimization

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-07-04T23:15:04.178370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T16:08:12.531857Z digest=sha256:42fa23a651317038852fa8d07d474972162b5254b81c03176cc9be186a464428