Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Solving the Quadratic Assignment Problem using Deep Reinforcement Learning
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2310.01604.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T14:00:55.614598Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
0
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation e01308b7-1711-4028-8fc8-b8cc37bb1626 · inbound
Efficient Multi-user Offloading of Personalized Diffusion Models: A DRL-Convex Hybrid Solution cites this paper.
Efficient Multi-user Offloading of Personalized Diffusion Models: A DRL-Convex Hybrid Solution Solving the Quadratic Assignment Problem using Deep Reinforcement Learning
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:00:55.614598Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d4d530df-677b-42ac-a93e-45e1310e944a · inbound
QAP-Router: Tackling Qubit Routing as Dynamic Quadratic Assignment with Reinforcement Learning cites this paper.
QAP-Router: Tackling Qubit Routing as Dynamic Quadratic Assignment with Reinforcement Learning Solving the Quadratic Assignment Problem using Deep Reinforcement Learning
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T04:52:17.294143Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation dfb922a1-f808-4f45-833f-a3c9b2a56658 · inbound
The Importance of Encoder Choice:A Tabular-Image Study cites this paper.
The Importance of Encoder Choice:A Tabular-Image Study Solving the Quadratic Assignment Problem using Deep Reinforcement Learning
Reference 256
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-10T19:07:34.974416Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.