Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T11:18:48.971412Z
Paper Citation Record · LEDGER
Exploring the Performance of Deep Residual Networks in Crazyhouse Chess
As of 16 August 2026, this Paper Citation Record lists 7 of 7 outbound references and 0 inbound Pith citation observations for arXiv:1908.09296.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
7 of 7 outbound references displayed
- verified exact0
- verified fuzzy1
- unresolved6
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 2bee1839-c969-4ba1-ba44-1022022042bc · outbound
This paper cites 1069--1076.
Exploring the Performance of Deep Residual Networks in Crazyhouse Chess 1069--1076
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:18:49.102746Z
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 3a831160-a929-4342-9c79-d51434b10558 · outbound
This paper cites Giraffe: Using Deep Reinforcement Learning to Play Chess.
Exploring the Performance of Deep Residual Networks in Crazyhouse Chess Giraffe: Using Deep Reinforcement Learning to Play Chess
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T11:18:48.945930Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 52a0fcc0-9a54-42c8-a6ec-dc6fa4ee40f7 · outbound
This paper cites an unresolved cited work.
Exploring the Performance of Deep Residual Networks in Crazyhouse Chess Unresolved cited work
Reference 3
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T11:18:49.085807Z
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 a0f27989-fc37-4548-84bd-c6d3f4c702b8 · outbound
This paper cites an unresolved cited work.
Exploring the Performance of Deep Residual Networks in Crazyhouse Chess Unresolved cited work
Reference 4
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T11:18:49.069611Z
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 9ecd9624-be45-4b4d-94e1-659a23a7c4be · outbound
This paper cites an unresolved cited work.
Exploring the Performance of Deep Residual Networks in Crazyhouse Chess Unresolved cited work
Reference 5
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T11:18:49.053697Z
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 91185e38-083a-4a8e-9f70-ef2f6a31475c · outbound
This paper cites Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm.
Exploring the Performance of Deep Residual Networks in Crazyhouse Chess Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T11:18:48.966175Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 31b2bd1f-508a-49cd-9da7-71f3fc5fb03b · outbound
This paper cites write newline.
Exploring the Performance of Deep Residual Networks in Crazyhouse Chess write newline
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T11:18:48.971412Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.