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Paper Citation Record · LEDGER

Modeling Other Players with Bayesian Beliefs for Games with Incomplete Information

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2405.14122.

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

pith.paper-citation-record.v1
2405.14122 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T04:55:03.229003Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T22:13:46.727525Z

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 1d83cd7a-3f49-43df-aa6a-45d0d4d823a7 · inbound

Tunable Leg Stiffness in a Monopedal Hopper for Energy-Efficient Vertical Hopping Across Varying Ground Profiles cites this paper.

Tunable Leg Stiffness in a Monopedal Hopper for Energy-Efficient Vertical Hopping Across Varying Ground Profiles Modeling Other Players with Bayesian Beliefs for Games with Incomplete Information

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T04:55:03.229003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:55:03.229003Z digest=sha256:a16240708acca5f2d2a4ce56b204d379b878cc77f812938b80bb4295224ca5e0

Observation 54645e07-e310-4dfc-b848-82d9222fe6ba · inbound

Tail-Risk-Safe Monte Carlo Tree Search under PAC-Level Guarantees cites this paper.

Tail-Risk-Safe Monte Carlo Tree Search under PAC-Level Guarantees Modeling Other Players with Bayesian Beliefs for Games with Incomplete Information

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-05T23:22:29.290820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:22:29.290820Z digest=sha256:abc60c99b989da249fc63af34f82390939a7f42fffc3d562149ae95d701d2996

Observation a30090e7-0f2f-480f-9fda-8035e99a092f · inbound

Operator-Guided Invariance Learning for Continuous Reinforcement Learning cites this paper.

Operator-Guided Invariance Learning for Continuous Reinforcement Learning Modeling Other Players with Bayesian Beliefs for Games with Incomplete Information

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T19:06:08.874112Z

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=2026-05-08T12:45:52.092349Z digest=sha256:cb268bab243b27821cd48ca0035488fb4ad23b9328fa985a26074732efd474c0

Observation 6c68e7ea-0be9-429b-affe-8cc9523f1b10 · inbound

Matrix-Space Reinforcement Learning for Reusing Local Transition Geometry cites this paper.

Matrix-Space Reinforcement Learning for Reusing Local Transition Geometry Modeling Other Players with Bayesian Beliefs for Games with Incomplete Information

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:03:28.831535Z

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=2026-05-15T02:03:11.540545Z digest=sha256:43b97d2e152f88aa735ba4e5c97f9401fe55a94e4f9ed82f0cfe50865b28a4d6

Observation cc9f3ea4-086c-4107-b949-0480238b3f36 · inbound

Metric-Gradient Projection for Stable Multi-Agent Policy Learning cites this paper.

Metric-Gradient Projection for Stable Multi-Agent Policy Learning Modeling Other Players with Bayesian Beliefs for Games with Incomplete Information

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-20T22:13:46.730580Z

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=2026-05-20T22:13:00.107205Z digest=sha256:3258e28cc2097777b69bcf3742b4165f4c6c5ceab36e732572828b64e617ba09