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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:ca0e61426bd8b9cbc4680247a87b1fb263376eb236d4f42d215d39b97896cfb4

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=sha256:8d8334ac5343a8134cacd626dc10305d2146c722f642b77bf5264ee6d0a2cb3f

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=sha256:0172a6f2f5a74ed2c34358b78db19c556bbfee56a23701aff15d9cc7c261f21d

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:eb04f78bb12f674d3b9f27b931118b73449c7104257801ef33640b9fe5e618fd

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=sha256:43398cae8bfbeea04b1fb4c5eaca8aedcab0c3a9921fd2b413d47fb75706a2d4

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:b3be6865720687ed3c00075a7ae0294bdbc77e04fa9901c664776d7bb8691c6c

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=sha256:33167b6968c3182abd14b9095589f799716d90eba6504b1f54df85a57be67757

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:db1442d3a9f9be4e60633f64079b76670876195d6b8c7f126d11b47f0038aeaa

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=sha256:9a9a5dd418da2048f86662e95fc2241a5dedc10b27ae91dcd5ff629b59dfcae2

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:a4fc61086da8313191e3e939d8130dcc4d3283421f08026c2e9b43cbde84c769

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=sha256:7a8c2009fcd7a5ecda349034773ac2e2568e010216349466f770149095b03f9d

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:a2c36500cc733b9135d35bc919d4fe94c5af8f52c79c723a212944056c9ecf65

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=sha256:92de86548b4092d53b824de3788a57c3db33ba773c66cb16ad30476d7a730f06

Pith citing papers

No inbound Pith citation observations are available.