Paper Citation Record · LEDGER

Generative Frontier Planning for Adaptive Peer-Referral Recruitment under Covariate-Dependent Arrivals

As of 5 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2606.08360.

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

pith.paper-citation-record.v1
2606.08360 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T19:54:08.682701Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+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

22 of 22 outbound references displayed

verified exact0
verified fuzzy0
unresolved21
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b7b2bd97-796d-48fb-a219-0c5205a973a3 · outbound

This paper cites Bertsekas.Dynamic Programming and Optimal Control: Volume I.

Generative Frontier Planning for Adaptive Peer-Referral Recruitment under Covariate-Dependent Arrivals Bertsekas.Dynamic Programming and Optimal Control: Volume I

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-27T19:54:08.682701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c74667c8-3be1-4de9-8425-f1e15af4638a · outbound

This paper cites Bertsekas.

Generative Frontier Planning for Adaptive Peer-Referral Recruitment under Covariate-Dependent Arrivals Bertsekas

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-27T19:54:08.682701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ced1e48a-ad57-4c80-8192-cbf523c7f4bb · outbound

This paper cites Budget allocation using weakly coupled, constrained markov decision processes.

Generative Frontier Planning for Adaptive Peer-Referral Recruitment under Covariate-Dependent Arrivals Budget allocation using weakly coupled, constrained markov decision processes

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-27T19:54:08.682701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e554f1e1-e503-4f1b-8b41-4734cdfd7f0b · outbound

This paper cites Budgeted reinforcement learning in continuous state space.

Generative Frontier Planning for Adaptive Peer-Referral Recruitment under Covariate-Dependent Arrivals Budgeted reinforcement learning in continuous state space

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-27T19:54:08.682701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5acf7721-e90f-461c-967d-40485df31124 · outbound

This paper cites An immunization strategy for hidden populations.

Generative Frontier Planning for Adaptive Peer-Referral Recruitment under Covariate-Dependent Arrivals An immunization strategy for hidden populations

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-27T19:54:08.682701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71b9c6f8-d15a-45e3-81fd-9198343708f8 · outbound

This paper cites Computationally-efficient combinatorial auctions for resource allocation in weakly-coupled mdps.

Generative Frontier Planning for Adaptive Peer-Referral Recruitment under Covariate-Dependent Arrivals Computationally-efficient combinatorial auctions for resource allocation in weakly-coupled mdps

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-27T19:54:08.682701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8078b16-2473-4a66-8dd8-3bb77803cccd · outbound

This paper cites Polynomial time algorithms for branching markov decision processes and probabilistic min(max) polynomial bellman equations.Mathematics of Operations Research, 45(1):34–62, 2019.

Generative Frontier Planning for Adaptive Peer-Referral Recruitment under Covariate-Dependent Arrivals Polynomial time algorithms for branching markov decision processes and probabilistic min(max) polynomial bellman equations.Mathematics of Operations Research, 45(1):34–62, 2019

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-27T19:54:08.682701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af393510-bd9a-4bdf-9c6e-0adb70e6798b · outbound

This paper cites an unresolved cited work.

Generative Frontier Planning for Adaptive Peer-Referral Recruitment under Covariate-Dependent Arrivals Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-27T19:54:08.682701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7922dcb-02d3-4494-ae42-46116c311242 · outbound

This paper cites Value function ap- proximation using multiple aggregation for multiattribute resource management.

Generative Frontier Planning for Adaptive Peer-Referral Recruitment under Covariate-Dependent Arrivals Value function ap- proximation using multiple aggregation for multiattribute resource management

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-27T19:54:08.682701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95ca73a6-2c55-4089-adbb-d591b419a127 · outbound

This paper cites Respondent-driven sampling as markov chain monte carlo.Statistics in medicine, 28(17):2202–2229, 2009.

Generative Frontier Planning for Adaptive Peer-Referral Recruitment under Covariate-Dependent Arrivals Respondent-driven sampling as markov chain monte carlo.Statistics in medicine, 28(17):2202–2229, 2009

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-27T19:54:08.682701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77e11034-f0d2-4e6a-b01d-0bc5de1e2f6a · outbound

This paper cites Adaptive submodularity: Theory and applications in active learning and stochastic optimization.Journal of Artificial Intelligence Research, 42:427–486, 2011.

Generative Frontier Planning for Adaptive Peer-Referral Recruitment under Covariate-Dependent Arrivals Adaptive submodularity: Theory and applications in active learning and stochastic optimization.Journal of Artificial Intelligence Research, 42:427–486, 2011

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-27T19:54:08.682701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e712e597-ee13-41d6-8851-4c4f101996dc · outbound

This paper cites Respondent-driven sampling: a new approach to the study of hidden populations.Social problems, 44(2):174–199, 1997.

Generative Frontier Planning for Adaptive Peer-Referral Recruitment under Covariate-Dependent Arrivals Respondent-driven sampling: a new approach to the study of hidden populations.Social problems, 44(2):174–199, 1997

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-27T19:54:08.682701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f060c1a4-6aaf-4bfa-b348-d7533a7e1bde · outbound

This paper cites Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020.

Generative Frontier Planning for Adaptive Peer-Referral Recruitment under Covariate-Dependent Arrivals Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-27T19:54:08.682701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60951d4d-89d2-47fd-8d7a-9c6b07b4dc81 · outbound

This paper cites Policy-embedded graph expansion: Networked hiv testing with diffusion-driven network samples.International Joint Conference on Artificial Intelligence (IJCAI), 2026.

Generative Frontier Planning for Adaptive Peer-Referral Recruitment under Covariate-Dependent Arrivals Policy-embedded graph expansion: Networked hiv testing with diffusion-driven network samples.International Joint Conference on Artificial Intelligence (IJCAI), 2026

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-27T19:54:08.682701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c89894e9-1914-432c-916c-5b3724d03297 · outbound

This paper cites Solving very large weakly coupled markov decision processes.

Generative Frontier Planning for Adaptive Peer-Referral Recruitment under Covariate-Dependent Arrivals Solving very large weakly coupled markov decision processes

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-27T19:54:08.682701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d56abd6d-f376-4ee2-8cb3-9eb6a3a1ca2e · outbound

This paper cites HIV Transmission Network Metastudy Project: An Archive of Data From Eight Network Studies, 1988–2001, 2011.

Generative Frontier Planning for Adaptive Peer-Referral Recruitment under Covariate-Dependent Arrivals HIV Transmission Network Metastudy Project: An Archive of Data From Eight Network Studies, 1988–2001, 2011

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-27T19:54:08.682701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff1f7f9d-0aa1-421e-b870-129a1f676020 · outbound

This paper cites Tracking and promoting the usage of a covid-19 contact tracing app.Nature human behaviour, 5(2):247–255, 2021.

Generative Frontier Planning for Adaptive Peer-Referral Recruitment under Covariate-Dependent Arrivals Tracking and promoting the usage of a covid-19 contact tracing app.Nature human behaviour, 5(2):247–255, 2021

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-27T19:54:08.682701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0764f77d-81d1-42d8-a99a-6ec54f048742 · outbound

This paper cites an unresolved cited work.

Generative Frontier Planning for Adaptive Peer-Referral Recruitment under Covariate-Dependent Arrivals Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-27T19:54:08.682701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e14bdf0-c336-42b3-9db4-4a9bc1364402 · outbound

This paper cites Adaptive multi-round allocation with stochastic arrivals.

Generative Frontier Planning for Adaptive Peer-Referral Recruitment under Covariate-Dependent Arrivals Adaptive multi-round allocation with stochastic arrivals

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-27T19:54:08.682701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4b43afb-3618-4214-b017-f3293f9e0a83 · outbound

This paper cites Powell.Approximate Dynamic Programming: Solving the Curses of Dimensionality.

Generative Frontier Planning for Adaptive Peer-Referral Recruitment under Covariate-Dependent Arrivals Powell.Approximate Dynamic Programming: Solving the Curses of Dimensionality

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-27T19:54:08.682701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cec8e904-0c6f-4aec-8a59-31b1f0a68032 · outbound

This paper cites Feature-based methods for large scale dynamic programming.Machine Learning, 22(1):59–94, 1996.

Generative Frontier Planning for Adaptive Peer-Referral Recruitment under Covariate-Dependent Arrivals Feature-based methods for large scale dynamic programming.Machine Learning, 22(1):59–94, 1996

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-27T19:54:08.682701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c5c3319-e1da-4e26-8ef0-d4083060a4fa · outbound

This paper cites Learning Likelihoods with Conditional Normalizing Flows.

Generative Frontier Planning for Adaptive Peer-Referral Recruitment under Covariate-Dependent Arrivals Learning Likelihoods with Conditional Normalizing Flows

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T21:07:24.312260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

No inbound Pith citation observations are available.