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Paper Citation Record · LEDGER

Variance-Reduced Q-Learning over Static and Time-Varying Networks

As of 10 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2607.21876.

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

pith.paper-citation-record.v1
2607.21876 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T06:37:06.562214Z

measured 21 of 21 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

21 of 21 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 364cb31d-e2f0-46e0-9f2a-5d6a4c24dd1b · outbound

This paper cites Q-learning,.

Variance-Reduced Q-Learning over Static and Time-Varying Networks Q-learning,

Reference 1

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source=pdf_text observed=2026-08-01T06:37:06.223565Z digest=sha256:3b465c085ab1ec7e47fdc9aaf8c795cb83f7c2c19a56b9e975637850f5dcecde

Observation 2b7595d7-a1e4-4d5c-adec-72010cefbc01 · outbound

This paper cites QD-learning: A collaborative distributed strategy for multi-agent reinforcement learning through consensus + innovations,.

Variance-Reduced Q-Learning over Static and Time-Varying Networks QD-learning: A collaborative distributed strategy for multi-agent reinforcement learning through consensus + innovations,

Reference 2

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source=pdf_text observed=2026-08-01T06:37:06.319740Z digest=sha256:4e999e53801f674b93ff0ab3f8215df979049effb351d5fdada9e8bd584fa654

Observation f2a38a6f-91a1-4ee0-844a-52b11e5d327d · outbound

This paper cites Fully decen- tralized multi-agent reinforcement learning with networked agents,.

Variance-Reduced Q-Learning over Static and Time-Varying Networks Fully decen- tralized multi-agent reinforcement learning with networked agents,

Reference 3

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Observation 8b4937c3-33de-4aa2-8131-2022f47eeba5 · outbound

This paper cites Distributed off-policy actor-critic reinforcement learning with policy consensus,.

Variance-Reduced Q-Learning over Static and Time-Varying Networks Distributed off-policy actor-critic reinforcement learning with policy consensus,

Reference 4

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source=pdf_text observed=2026-08-01T06:37:06.395768Z digest=sha256:2e7944852bc478690e320c22ba69598e1c4e37652a701a77d3e12fd765055400

Observation 54045625-4abe-4239-8255-f0649625d93c · outbound

This paper cites Finite-time analysis of distributed TD (0) with linear function approximation on multi- agent reinforcement learning,.

Variance-Reduced Q-Learning over Static and Time-Varying Networks Finite-time analysis of distributed TD (0) with linear function approximation on multi- agent reinforcement learning,

Reference 5

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source=pdf_text observed=2026-08-01T06:37:06.404899Z digest=sha256:3ec43e9e56bdf814f8cdfaf39a3c4761aabdfd978b68669e9fea0601d754fed4

Observation 121c0001-aba4-494e-ae00-244319eeabba · outbound

This paper cites Finite-sample analysis of distributed q-learning for multi-agent networks,.

Variance-Reduced Q-Learning over Static and Time-Varying Networks Finite-sample analysis of distributed q-learning for multi-agent networks,

Reference 6

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Observation eee3fe86-1ea7-4daf-be87-9f0d77183c7b · outbound

This paper cites A finite-time analysis of distributed Q- Learning,.

Variance-Reduced Q-Learning over Static and Time-Varying Networks A finite-time analysis of distributed Q- Learning,

Reference 7

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source=pdf_text observed=2026-08-01T06:37:06.433768Z digest=sha256:057dcce24c256c2d8cf03d66b659f580bb3624bdd73c4a6ca3dc99cbe3538b7d

Observation 98745f85-674a-40f2-8387-410c49443fdb · outbound

This paper cites Finite-time convergence rates of decentralized stochastic approximation with applications in multi-agent and multi-task learning,.

Variance-Reduced Q-Learning over Static and Time-Varying Networks Finite-time convergence rates of decentralized stochastic approximation with applications in multi-agent and multi-task learning,

Reference 8

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source=pdf_text observed=2026-08-01T06:37:06.445062Z digest=sha256:174734a984e7558fcfbaa3d57dfe729ec500e524bc625329c764e6c5827ebcf6

Observation 014820b0-3445-4a60-810d-bbd9173529ec · outbound

This paper cites Federated reinforcement learning: Linear speedup under Markovian sampling,.

Variance-Reduced Q-Learning over Static and Time-Varying Networks Federated reinforcement learning: Linear speedup under Markovian sampling,

Reference 9

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source=pdf_text observed=2026-08-01T06:37:06.456743Z digest=sha256:9bd6c851cd5a866d37e4fb981ed46dfb230e5e2c06baf574508d12e642a6b232

Observation 65aec993-d6c6-46b8-8e1e-5299178c5323 · outbound

This paper cites The blessing of heterogeneity in federated Q-learning: Linear speedup and beyond,.

Variance-Reduced Q-Learning over Static and Time-Varying Networks The blessing of heterogeneity in federated Q-learning: Linear speedup and beyond,

Reference 10

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source=pdf_text observed=2026-08-01T06:37:06.470700Z digest=sha256:e602d13a9abcb18840e965935d2b9b91fee9e11158421517089c698707b7ea92

Observation 2cae0d64-3db1-4760-bb3d-635b082d4cf8 · outbound

This paper cites Federated Temporal Difference Learning with Linear Function Approximation under Environmental Heterogeneity.

Variance-Reduced Q-Learning over Static and Time-Varying Networks Federated Temporal Difference Learning with Linear Function Approximation under Environmental Heterogeneity

Reference 11

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source=pdf_text observed=2026-08-01T06:37:06.478589Z digest=sha256:966b33d1b7e5ad998a534fd5789b5f1f9106eab25ec95e642212b8fca1c0c6bc

Observation 10499641-dee2-4774-8b20-cd75bd59f596 · outbound

This paper cites Stochastic approximation with cone-contractive operators: Sharp $\ell_\infty$-bounds for $Q$-learning.

Variance-Reduced Q-Learning over Static and Time-Varying Networks Stochastic approximation with cone-contractive operators: Sharp $\ell_\infty$-bounds for $Q$-learning

Reference 12

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source=pdf_text observed=2026-08-01T06:37:06.486395Z digest=sha256:817a51bae474dc26e499a2558a51c6f03d73a8b381a6cce72bc6417e06f8bb48

Observation 161bdcfe-7f7c-41e3-8dcf-95f2dceaa112 · outbound

This paper cites Finite-time analysis of asynchronous stochastic approximation and Q-learning,.

Variance-Reduced Q-Learning over Static and Time-Varying Networks Finite-time analysis of asynchronous stochastic approximation and Q-learning,

Reference 13

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source=pdf_text observed=2026-08-01T06:37:06.497436Z digest=sha256:f76d637dc1c23ed39a29f4394e68bbd8878e5667c3ca15345a6fb528ba66f12c

Observation 0f76ec8e-0f79-4292-b471-4ab57ac69d48 · outbound

This paper cites Is Q-learning minimax optimal? a tight sample complexity analysis,.

Variance-Reduced Q-Learning over Static and Time-Varying Networks Is Q-learning minimax optimal? a tight sample complexity analysis,

Reference 14

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source=pdf_text observed=2026-08-01T06:37:06.504912Z digest=sha256:486bfd7b9a9fe565ea435fb3da8e908bfa28cf0fe3f7251253c0a987aa4b8832

Observation 1ffea82b-1250-4fda-bca2-2f3ae5fe7b4b · outbound

This paper cites an unresolved cited work.

Variance-Reduced Q-Learning over Static and Time-Varying Networks Unresolved cited work

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source=pdf_text observed=2026-08-01T06:37:06.510819Z digest=sha256:31e04440cbbac49aed5a83b0a076cc29acde3728ba3eddadeeea9c701aa8d991

Observation 14d470a4-ad2f-452f-a964-94841bef1a45 · outbound

This paper cites Finite-sample convergence rates for Q- learning and indirect algorithms,.

Variance-Reduced Q-Learning over Static and Time-Varying Networks Finite-sample convergence rates for Q- learning and indirect algorithms,

Reference 16

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source=pdf_text observed=2026-08-01T06:37:06.528957Z digest=sha256:f54d512a08570ce15dd7f27f3962b850ff70a42d8b387d28d4aa14ab5233376f

Observation e0caff71-cb76-4246-8ec9-ad4b06d5c62b · outbound

This paper cites Near-optimal time and sample complexities for solving Markov decision processes with a generative model,.

Variance-Reduced Q-Learning over Static and Time-Varying Networks Near-optimal time and sample complexities for solving Markov decision processes with a generative model,

Reference 17

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source=pdf_text observed=2026-08-01T06:37:06.535030Z digest=sha256:ec97df8c922bc13cbe534c0ef4c3cb38c61adceea2ec26a39fb7a3825805ae54

Observation 7a135b4b-075a-47e6-8a7e-4712901c3751 · outbound

This paper cites Asynchronous stochastic approximation and Q- learning,.

Variance-Reduced Q-Learning over Static and Time-Varying Networks Asynchronous stochastic approximation and Q- learning,

Reference 18

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Observation 28c7f9d6-4a4c-41af-8a6c-4ae7918ea907 · outbound

This paper cites Achieving geometric conver- gence for distributed optimization over time-varying graphs,.

Variance-Reduced Q-Learning over Static and Time-Varying Networks Achieving geometric conver- gence for distributed optimization over time-varying graphs,

Reference 19

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source=pdf_text observed=2026-08-01T06:37:06.550135Z digest=sha256:98b557096b04240b458f380edaa90c62fbbd85c3c1a30deebc16c5db2b36cdfa

Observation 806a3594-2d35-4efe-a117-f7a32443d8f9 · outbound

This paper cites High-Dimensional Statistics.

Variance-Reduced Q-Learning over Static and Time-Varying Networks High-Dimensional Statistics

Reference 20

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Observation 75451653-c788-44ea-a154-8a5240078d81 · outbound

This paper cites Lattimore and C.

Variance-Reduced Q-Learning over Static and Time-Varying Networks Lattimore and C

Reference 21

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source=pdf_text observed=2026-08-01T06:37:06.562214Z digest=sha256:d0de28730183854c397e978f51f2553514b98a0580990d94af08da012b06242d

Pith citing papers

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