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Paper Citation Record · LEDGER

Secrets of GFlowNets' Learning Behavior: A Theoretical Study

As of 23 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 1 inbound Pith citation observation for arXiv:2505.02035.

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

pith.paper-citation-record.v1
2505.02035 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:13:06.495684Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-08T19:22:03.198766Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-09T05:55:31.035152Z

Reference resolution

34 of 34 outbound references displayed

  • verified exact1
  • verified fuzzy28
  • unresolved5
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 17528365-cbef-41e8-b3ce-92fa1d1d480d · outbound

This paper cites Rademacher and ga ussian complexities: Risk bounds and structural results.

Secrets of GFlowNets' Learning Behavior: A Theoretical Study Rademacher and ga ussian complexities: Risk bounds and structural results

Reference 1

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 12a51930-44fb-449d-9b62-8a6fbcc63e23 · outbound

This paper cites Gflownet foundations.

Secrets of GFlowNets' Learning Behavior: A Theoretical Study Gflownet foundations

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 45a770ab-a71d-42cb-b0da-b04c0a57c970 · outbound

This paper cites On a modification of chebyshev’s inequ ality and of the error formula of laplace.

Secrets of GFlowNets' Learning Behavior: A Theoretical Study On a modification of chebyshev’s inequ ality and of the error formula of laplace

Reference 3

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verified fuzzy
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Observation 2b8a227f-8076-43a3-9a77-ba64a89b6a93 · outbound

This paper cites Fas t and accurate stochastic gradient estimation.

Secrets of GFlowNets' Learning Behavior: A Theoretical Study Fas t and accurate stochastic gradient estimation

Reference 4

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation bf6c4dea-d4b8-4ebe-a556-d2ff5ab701f7 · outbound

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

Secrets of GFlowNets' Learning Behavior: A Theoretical Study Generative Flow Networks: a Markov Chain Perspective

Reference 5

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Source-reported events for the cited work

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Observation 2413e631-77c6-48a3-a7b0-dba175693e80 · outbound

This paper cites Flows in networks.

Secrets of GFlowNets' Learning Behavior: A Theoretical Study Flows in networks

Reference 6

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 47863f7c-d814-4980-82b0-b210526df636 · outbound

This paper cites Generative adve rsarial nets.

Secrets of GFlowNets' Learning Behavior: A Theoretical Study Generative adve rsarial nets

Reference 7

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation f78b51e3-9282-4b1b-b81b-f73a707d4bd5 · outbound

This paper cites A distribution-free theory of nonparametric regression.

Secrets of GFlowNets' Learning Behavior: A Theoretical Study A distribution-free theory of nonparametric regression

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation a95d4216-dfbd-463d-a6e1-457671676837 · outbound

This paper cites Probability inequalities for sums o f bounded random variables.

Secrets of GFlowNets' Learning Behavior: A Theoretical Study Probability inequalities for sums o f bounded random variables

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 6b296af0-a8a7-4837-8dc8-c58e562988c4 · outbound

This paper cites Biological sequence design with gflownets.

Secrets of GFlowNets' Learning Behavior: A Theoretical Study Biological sequence design with gflownets

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 4e32ce65-0100-4213-8a75-fab0353f2d4f · outbound

This paper cites Auto-encoding varia tional bayes, 2022.

Secrets of GFlowNets' Learning Behavior: A Theoretical Study Auto-encoding varia tional bayes, 2022

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 15b55ca9-883d-4e77-b74d-1371bc2d8145 · outbound

This paper cites Rgfn: Synthesizable molecular generation using gflownets.

Secrets of GFlowNets' Learning Behavior: A Theoretical Study Rgfn: Synthesizable molecular generation using gflownets

Reference 12

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 18f08bbe-0a85-4f1d-8adb-2f54f532f977 · outbound

This paper cites On Generalization for Generative Flow Networks.

Secrets of GFlowNets' Learning Behavior: A Theoretical Study On Generalization for Generative Flow Networks

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c91dc01d-72db-4fa2-875d-66b5b6041320 · outbound

This paper cites A theory of con- tinuous generative flow networks.

Secrets of GFlowNets' Learning Behavior: A Theoretical Study A theory of con- tinuous generative flow networks

Reference 14

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation dd6166f1-c5d2-408a-8786-6cf5d5c8d641 · outbound

This paper cites Learning gflownets from partial episodes for improved convergence and stabili ty.

Secrets of GFlowNets' Learning Behavior: A Theoretical Study Learning gflownets from partial episodes for improved convergence and stabili ty

Reference 15

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 05d3c70b-a82c-4fd8-ad0a-ddbe2ff83c3f · outbound

This paper cites G flownets for causal discovery: an overview.

Secrets of GFlowNets' Learning Behavior: A Theoretical Study G flownets for causal discovery: an overview

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation b63b86a4-6120-4006-baca-ef9001aecd2d · outbound

This paper cites Pac-bayes un-expected bernstein inequality.

Secrets of GFlowNets' Learning Behavior: A Theoretical Study Pac-bayes un-expected bernstein inequality

Reference 17

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation e9fa14bb-24dc-4c60-87c6-40340bc5571a · outbound

This paper cites Monte carlo gradient estimation in machine learning.

Secrets of GFlowNets' Learning Behavior: A Theoretical Study Monte carlo gradient estimation in machine learning

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 0f5a5a93-fecc-4a84-876c-7c711ac55734 · outbound

This paper cites Belief prop agation, robust reconstruction and optimal recovery of block models.

Secrets of GFlowNets' Learning Behavior: A Theoretical Study Belief prop agation, robust reconstruction and optimal recovery of block models

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 3df4d65f-8385-41d3-a98c-a09761f59e86 · outbound

This paper cites Causal Inference in Gene Regulatory Networks with GFlowNet: Towards Scalability in Large Systems.

Secrets of GFlowNets' Learning Behavior: A Theoretical Study Causal Inference in Gene Regulatory Networks with GFlowNet: Towards Scalability in Large Systems

Reference 20

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verified exact
local_arxiv, observed 2026-08-16T04:13:06.557016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 496b261e-da16-43e2-b772-316438ec7d14 · outbound

This paper cites Hierarchical gflownet for crystal struct ure generation.

Secrets of GFlowNets' Learning Behavior: A Theoretical Study Hierarchical gflownet for crystal struct ure generation

Reference 21

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation dd0a1fff-a6ac-4b81-b200-9a2e981b51dc · outbound

This paper cites Better training of gflownets with local credit and incomplete trajectories.

Secrets of GFlowNets' Learning Behavior: A Theoretical Study Better training of gflownets with local credit and incomplete trajectories

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-16T04:13:06.773477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation fc08531b-a157-4f23-8363-19d491cc7592 · outbound

This paper cites Towards understanding and improvi ng gflownet training.

Secrets of GFlowNets' Learning Behavior: A Theoretical Study Towards understanding and improvi ng gflownet training

Reference 23

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raw_fallback, observed 2026-08-16T04:13:06.758884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation d2987436-97a9-4563-961c-523959a7b76d · outbound

This paper cites Gradient es- timation with discrete stein operators.

Secrets of GFlowNets' Learning Behavior: A Theoretical Study Gradient es- timation with discrete stein operators

Reference 24

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 3a46799a-4418-41a7-aad6-588114bb028a · outbound

This paper cites When do gflownets learn the right distribution? In The Thirteenth International Conference on Learning Represen tations, 2025.

Secrets of GFlowNets' Learning Behavior: A Theoretical Study When do gflownets learn the right distribution? In The Thirteenth International Conference on Learning Represen tations, 2025

Reference 25

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raw_fallback, observed 2026-08-16T04:13:06.729270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 3d0ec9b9-ffb2-49f4-a907-c4e8a02d3e72 · outbound

This paper cites Analyz ing gflownets: Stability, ex- pressiveness, and assessment.

Secrets of GFlowNets' Learning Behavior: A Theoretical Study Analyz ing gflownets: Stability, ex- pressiveness, and assessment

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-16T04:13:06.713016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation eec89e0f-ca6e-4b37-b25e-6d8eed4fbca2 · outbound

This paper cites On divergence measures for training gflownets.

Secrets of GFlowNets' Learning Behavior: A Theoretical Study On divergence measures for training gflownets

Reference 27

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raw_fallback, observed 2026-08-16T04:13:06.698387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation c8590853-e4eb-41e4-88aa-eae5b3a151aa · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Secrets of GFlowNets' Learning Behavior: A Theoretical Study Score-Based Generative Modeling through Stochastic Differential Equations

Reference 28

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unresolved
no resolver link, observed 2026-08-16T04:13:06.466693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:06.466693Z digest=sha256:1347c171c6099f92f4db2d5a06df629e97c38bc751e5a49dd4d7f17e8bb2a5f8

Observation 2f66011b-6439-43ba-801b-f7185f355979 · outbound

This paper cites Let the flows tell: Solving graph combinatorial problem s with gflownets.

Secrets of GFlowNets' Learning Behavior: A Theoretical Study Let the flows tell: Solving graph combinatorial problem s with gflownets

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-16T04:13:06.682723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 175fd1ef-13d0-49f1-a135-17b338cdd693 · outbound

This paper cites Generative flow networks for discrete probab ilistic modeling.

Secrets of GFlowNets' Learning Behavior: A Theoretical Study Generative flow networks for discrete probab ilistic modeling

Reference 30

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raw_fallback, observed 2026-08-16T04:13:06.666446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 98266e3c-2f81-403b-8f03-88a04358649d · outbound

This paper cites Sample- efficient multi-objective molecular optimization with gflo wnets.

Secrets of GFlowNets' Learning Behavior: A Theoretical Study Sample- efficient multi-objective molecular optimization with gflo wnets

Reference 31

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raw_fallback, observed 2026-08-16T04:13:06.650700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation c1d6bed7-9e64-4c93-b970-3facc77efd7c · outbound

This paper cites an unresolved cited work.

Secrets of GFlowNets' Learning Behavior: A Theoretical Study Unresolved cited work

Reference 32

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unresolved
raw_fallback, observed 2026-08-16T04:13:06.634724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation f3fa7f7d-c001-4bc4-8520-a8a7d10fc253 · outbound

This paper cites an unresolved cited work.

Secrets of GFlowNets' Learning Behavior: A Theoretical Study Unresolved cited work

Reference 33

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 37d703a2-f314-460e-b183-252a4db66801 · outbound

This paper cites To model error accumulation, we can use results from Markov c hain analysis.

Secrets of GFlowNets' Learning Behavior: A Theoretical Study To model error accumulation, we can use results from Markov c hain analysis

Reference 34

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verified fuzzy
raw_fallback, observed 2026-08-16T04:13:06.603607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T04:13:06.495684Z digest=sha256:e27ff0875e0570bb47a0ddf1f22b314d50dcfc947f9f847bd5bacab459e5563b

Pith citing papers

Observation dcebadca-0ea5-4713-a33e-87ba1270025a · inbound

Stable GFlowNets with TV Monitoring and Probabilistic Guarantees cites this paper.

Stable GFlowNets with TV Monitoring and Probabilistic Guarantees Secrets of GFlowNets' Learning Behavior: A Theoretical Study

Reference 63

Resolution
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arxiv_id, observed 2026-05-09T05:55:31.037300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-08T19:22:03.198766Z digest=sha256:d53213d8cefb6e06f1d5317788b8ac9da164da24235d863ba2fad6aced8d54c5