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Paper Citation Record · LEDGER

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

As of 9 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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T13:37:13.058095Z digest=sha256:d46c88a51488184789cfea8466823d7c85f1ef9bccb5dd849b6d73f45c8d671c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T13:37:13.052930Z digest=sha256:54ef3a8cd36eaa0385fcc9a0bb30cb107461333dd12878da29c36f4b86411af3

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T13:37:13.028223Z digest=sha256:32ff56dab2b317ae55be0398b5fd2257909c64a7e025bb897857185cf6eb8f72

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T13:37:13.062991Z digest=sha256:56800838067fc3b10b3f2384fb7ba6b70905244301b884d6e887dec51c3fea9b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T13:37:13.038486Z digest=sha256:0309f6b3a896d8a7159a3ed31fcc08b4d05fde3817672dd90422afa28b7ee718

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T13:37:13.067964Z digest=sha256:5397b4d7ae637bd2b7d6313c75833c0ad47566f002c1fdc9f8346ecf70d10351

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:a8026d8ac3c458195216e8908a4316f9bbf62de85dc1017f25d1529b409b36eb

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T13:37:13.072331Z digest=sha256:fe5ac6355d708c0759c768eed5571d94692fcc2a474ffaa4af7c1b14959403a7

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:e77afc269f1d56b2beeccdbe873000dc95bdf5145a149a2fca82a941c27fa76b

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=sha256:001177e9730ed9b1362e6b57b82004b773306eb60f8db931d2804a1c2daf7939

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:dd9b84a90aedddf93401e6a122c41e9985a816ee7537ee257bc3af6e63d50e81

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T13:37:13.023200Z digest=sha256:ef85aef4f360f0ec9be357de89d62b614da24a2df983ecbbc7cae7ea9179a570

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T13:37:13.012674Z digest=sha256:cac7ae3e2ed893f51e7200058e1daaa8cc84b6e677abb37352d0d66582bbec34

Pith citing papers

No inbound Pith citation observations are available.