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Paper Citation Record · LEDGER

Accelerating Self-Play Learning in Go

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1902.10565.

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

pith.paper-citation-record.v1
1902.10565 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T11:04:06.550386Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:19:38.705305Z

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 b19a91e7-2319-404f-9cdd-c60a21c50b19 · inbound

Minimax Strikes Back cites this paper.

Minimax Strikes Back Accelerating Self-Play Learning in Go

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-24T14:24:34.813753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-24T14:20:42.821237Z digest=sha256:6cf97bf0681bcfe71806c49663a150cdbcfca521ec20eb7628af36544a8006ff

Observation 53bdcc47-2b8c-47d7-bc7a-c7e12913d45b · inbound

Robots Need More than VLA and World Models cites this paper.

Robots Need More than VLA and World Models Accelerating Self-Play Learning in Go

Reference 190

Resolution
verified exact
arxiv_id, observed 2026-07-02T13:46:59.257366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-28T01:01:33.530167Z digest=sha256:782b5f26117d14b94e1e4e8b13f72fc1c609470fa92495e4328c879939d35e87

Observation e7d1c590-120f-4efc-9779-599c05a28a6e · inbound

The Montparnasse Algorithm for RNA Design cites this paper.

The Montparnasse Algorithm for RNA Design Accelerating Self-Play Learning in Go

Reference 58

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T19:43:55.184996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-29T19:34:04.075773Z digest=sha256:d91d420ebf1f1714297c663558b35fa3e75951c696363a246885a0f8268f29e6

Observation 7bbabe9d-4c31-405d-a2e7-9e813037698a · inbound

Decodable but Not Faithful: Coupling Natural-Language Rationales to Programmatic Verifiers cites this paper.

Decodable but Not Faithful: Coupling Natural-Language Rationales to Programmatic Verifiers Accelerating Self-Play Learning in Go

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-07-04T06:19:38.706999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T14:33:39.060591Z digest=sha256:4e1383a930f40c8c553fb1de2607c54b67982b22bbceb5d1a3c7b857f405dd60

Observation 2123cdc2-05f7-453d-94ea-f07e86caf504 · inbound

Belief-Guided Decision Making with Uncertainty Gating in the Game of Go cites this paper.

Belief-Guided Decision Making with Uncertainty Gating in the Game of Go Accelerating Self-Play Learning in Go

Reference 11

Resolution
unresolved
no resolver link, observed 2026-07-30T16:13:36.468888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T16:13:36.468888Z digest=sha256:68d584178f8c6785f2db5bad1f492ddaf5f7046075911ccc0d0348654d21b147

Observation c2611f1a-b271-46e0-b505-35aa81f55610 · inbound

When AI Becomes Routine: A Decade of Public AI Mediation in Korean Go Commentary cites this paper.

When AI Becomes Routine: A Decade of Public AI Mediation in Korean Go Commentary Accelerating Self-Play Learning in Go

Reference 50

Resolution
unresolved
no resolver link, observed 2026-07-31T11:04:06.550386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T11:04:06.550386Z digest=sha256:e99fcdd891660fc4381a771a0f6672361132b8a1e2f46c725e62ba809d0faab7