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Paper Citation Record · LEDGER

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

As of 10 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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T13:37:13.058095Z digest=sha256:cb241452e8c01aa2eef8299d09a7a3a47338bdbeaae6ce3a98854041a4396c22

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T13:37:13.052930Z digest=sha256:899a8d9aa4a649409a3067b4a32fd1eaf95b5a78585034b2f4e276ff7c1a2d9f

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T13:37:13.028223Z digest=sha256:d3496634fd59b43e6b0a9c236cdfed10908d3ddc432ba624c13298d29613b22b

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T13:37:13.062991Z digest=sha256:e12b0f1583a249e5988e0bbda7bd204b7767be3997629f009d41044ac668da40

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T13:37:13.038486Z digest=sha256:4a39a47f8fda82e56ff2dd15f83567efc1ae21aef9e15cfa67d4baad8e749d8d

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T13:37:13.067964Z digest=sha256:e2ad729d6cfa66eb3a3b40498ab091e344419806f1e47fcc9edfb69e87590f2f

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:a7c11d270ca61fa2a291615bb99fa4985a259064d30bd93c1c618fd17974d65e

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T13:37:13.072331Z digest=sha256:95c3f55713e86d3ff4c44b1ba0b2855327924de3fdad488b59f51bc93d04ec75

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=sha256:2dde1a55b3f98482dfbb0e88169469781f95480298919fe872da2d6cd3866149

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:c7eaa42613c00dfbe7fa31d09265bc110cdcb3115507873e5b3e7e7f5a00426f

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=sha256:834e2d8e8686943d06fb81430a1a6dc7182f603aef53e97d3baf04f9c4268f4f

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T13:37:13.023200Z digest=sha256:5e2a4109bc4d3d5e1549a22b1cab08ff5316843e5fd640376cc53ca2d17d74b1

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T13:37:13.012674Z digest=sha256:d7950d2aba14b9bc1cb15519d4a1ceae76e04927c2df55ec80f82d88e67ea93b

Pith citing papers

No inbound Pith citation observations are available.