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Paper Citation Record · LEDGER

IFlowNets: Extending Generative Samplers to Learn Strategies in Incomplete Information Games

As of 20 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2608.05422.

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

pith.paper-citation-record.v1
2608.05422 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:37:13.072331Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

13 of 13 outbound references displayed

  • verified exact2
  • verified fuzzy5
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 55d4ff7a-a705-4c94-aec6-a754df69fab6 · outbound

This paper cites Then the two distributions characterizingP F , the forward policy, areP agent, the agent’s policy, andP env, the environment dynamics.

IFlowNets: Extending Generative Samplers to Learn Strategies in Incomplete Information Games Then the two distributions characterizingP F , the forward policy, areP agent, the agent’s policy, andP env, the environment dynamics

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:37:13.281419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T13:37:13.058095Z digest=sha256:a29cda92d61a17558d362bae1e8003c9c9ed1d5241a6f5203006129f5aa2d71c

Observation 776ff8c3-3eed-45d6-9c21-174b499361a5 · outbound

This paper cites 9 Artman Di Perkins Appendix C.

IFlowNets: Extending Generative Samplers to Learn Strategies in Incomplete Information Games 9 Artman Di Perkins Appendix C

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:37:13.295621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T13:37:13.052930Z digest=sha256:dc8aeb2bbb2b79c1d7ec483c1b471095e3eb479ed8f26b95c5e1248884ab44a6

Observation 9ec2d936-9667-49c5-8046-586f4c1c6378 · outbound

This paper cites doi: 10.1038/s41598-025-86899-8.

IFlowNets: Extending Generative Samplers to Learn Strategies in Incomplete Information Games doi: 10.1038/s41598-025-86899-8

Reference 4

Resolution
verified exact
doi, observed 2026-08-08T13:37:13.120633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T13:37:13.028223Z digest=sha256:60e6a74b575eb4ffe76aef321f95828e89039b84a01e55a9e6a9fa1e318f5899

Observation 452352f8-ac78-4940-8f3d-65e997c16f17 · outbound

This paper cites (2024) as long as it satisfies the key requirement of flow matching, and by Lemma 5, the GEDB induce flow matching on infosets.

IFlowNets: Extending Generative Samplers to Learn Strategies in Incomplete Information Games (2024) as long as it satisfies the key requirement of flow matching, and by Lemma 5, the GEDB induce flow matching on infosets

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:37:13.267227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T13:37:13.062991Z digest=sha256:29ff7e487b82dc137164f3f6f2d521f39a5145b93163e209461ec7a8f9bf46d4

Observation 433c0cdc-5266-47b4-9380-6870b47b75d1 · outbound

This paper cites Population-based Evaluation in Repeated Rock-Paper-Scissors as a Benchmark for Multiagent Reinforcement Learning.

IFlowNets: Extending Generative Samplers to Learn Strategies in Incomplete Information Games Population-based Evaluation in Repeated Rock-Paper-Scissors as a Benchmark for Multiagent Reinforcement Learning

Reference 6

Resolution
metadata mismatch
local_arxiv, observed 2026-08-08T13:37:13.172346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T13:37:13.038486Z digest=sha256:1da9792d8ec661d860afd8a1180f0a41a55ba0269b2b055803b3f499cbee8c4f

Observation 1e944fa3-0dbe-4e99-a449-05147fe30572 · outbound

This paper cites Similar to Theorem 7, we start with the recurrence on the flow functionF i induced by the GEDB.

IFlowNets: Extending Generative Samplers to Learn Strategies in Incomplete Information Games Similar to Theorem 7, we start with the recurrence on the flow functionF i induced by the GEDB

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:37:13.252157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T13:37:13.067964Z digest=sha256:c2c239ccb489d6c0637e6feaedb5772c94689b7509382be3f079214cbab61af8

Observation 32ff7f07-4263-46a4-b9a3-51803c1ebd9e · outbound

This paper cites A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games.

IFlowNets: Extending Generative Samplers to Learn Strategies in Incomplete Information Games A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-08T13:37:13.048094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T13:37:13.048094Z digest=sha256:fbc422edc0fe30240704aa6a08336da0846b09bd30a6200b03eb8f194b0ee24e

Observation c64a6b61-b9c5-4916-9e4b-8ed42d655e35 · outbound

This paper cites (2024), by constructionF 1(z) =R 1(z) andF 2(z) =R 2(z) for allz∈Z, soF(z) def.=F 1(z)F2(z) C1=R 1(z)R2(z) for allz∈Z.

IFlowNets: Extending Generative Samplers to Learn Strategies in Incomplete Information Games (2024), by constructionF 1(z) =R 1(z) andF 2(z) =R 2(z) for allz∈Z, soF(z) def.=F 1(z)F2(z) C1=R 1(z)R2(z) for allz∈Z

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:37:13.237807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T13:37:13.072331Z digest=sha256:847077ebe12ad62b0d993074bb49e091acf5da97b31725eedc29eb7b981ef174

Observation d8d74c68-c16e-454e-bde8-98630b1db7be · outbound

This paper cites doi: 10.1023/A:1009905800005.

IFlowNets: Extending Generative Samplers to Learn Strategies in Incomplete Information Games doi: 10.1023/A:1009905800005

Reference 1998

Resolution
unresolved
no resolver link, observed 2026-08-08T13:37:13.043407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T13:37:13.043407Z digest=sha256:e4a1db8cf5fbf5b912a85fc342c6b75930d93f423107a27dc5009e90ca455828

Observation 1039bf6c-3755-4d88-a88b-1727a3f2ee0a · outbound

This paper cites OpenSpiel: A Framework for Reinforcement Learning in Games.

IFlowNets: Extending Generative Samplers to Learn Strategies in Incomplete Information Games OpenSpiel: A Framework for Reinforcement Learning in Games

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-08T13:37:13.032928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T13:37:13.032928Z digest=sha256:fcb0c637dcee1011c7824dc87cdc99a9d2560591fe9caa06f80e8d89ba87ecc5

Observation 3b258b1c-7edc-4679-b980-dce08af254ec · outbound

This paper cites Generative Flow Networks: a Markov Chain Perspective.

IFlowNets: Extending Generative Samplers to Learn Strategies in Incomplete Information Games Generative Flow Networks: a Markov Chain Perspective

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-08T13:37:13.018103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T13:37:13.018103Z digest=sha256:4933b4e2402b79f440321c35208ff8b75cc9605badac611575ee341a229f25d0

Observation 5fd05076-83fa-4965-8f97-ea08123a615a · outbound

This paper cites Expected flow networks in stochastic environments and two-player zero-sum games.

IFlowNets: Extending Generative Samplers to Learn Strategies in Incomplete Information Games Expected flow networks in stochastic environments and two-player zero-sum games

Reference 2024

Resolution
metadata mismatch
local_arxiv, observed 2026-08-08T13:37:13.208057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T13:37:13.023200Z digest=sha256:5b78a86f27defeb2b5795485f328f79d0b1a1b67ad328013a513c1aaa095879b

Observation f1c1e4bf-d63e-4174-b30d-1ddfc11e1f41 · outbound

This paper cites doi: 10.1016/j.geb.2025.02.008.

IFlowNets: Extending Generative Samplers to Learn Strategies in Incomplete Information Games doi: 10.1016/j.geb.2025.02.008

Reference 2025

Resolution
verified exact
doi, observed 2026-08-08T13:37:13.135966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T13:37:13.012674Z digest=sha256:92c06957064db44799ec5cf473080842b460e00f3d52441a44a6d778d29f45c3

Pith citing papers

No inbound Pith citation observations are available.