Paper Citation Record · LEDGER

Unrolling Dynamic Programming via Graph Filters

As of 18 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2507.21705.

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

pith.paper-citation-record.v1
2507.21705 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:34:22.755810Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

40 of 40 outbound references displayed

verified exact3
verified fuzzy25
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 10a6d9d1-943a-4453-8110-dee2ae674acf · outbound

This paper cites an unresolved cited work.

Unrolling Dynamic Programming via Graph Filters Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-06T12:34:23.372092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fb1dcf0a-9fda-4910-bfbb-450f791c8080 · outbound

This paper cites an unresolved cited work.

Unrolling Dynamic Programming via Graph Filters Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-06T12:34:23.358283Z

Source-reported events for the cited work

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Observation 9e576fa2-e173-45f8-bb9d-ca1944ee8a96 · outbound

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

Unrolling Dynamic Programming via Graph Filters Bertsekas, Dynamic Programming and Optimal Control: Volume I , vol

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:34:23.344735Z

Source-reported events for the cited work

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Observation 2fbdab44-6ce0-48ab-b5db-eae0f32e1453 · outbound

This paper cites Learning fast approximations of sparse coding,.

Unrolling Dynamic Programming via Graph Filters Learning fast approximations of sparse coding,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:34:23.331419Z

Source-reported events for the cited work

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Observation 82908a22-533b-4590-8a74-5f105fdd7f77 · outbound

This paper cites Graph unrolling networks: Interpretable neural networks for graph signal denoising,.

Unrolling Dynamic Programming via Graph Filters Graph unrolling networks: Interpretable neural networks for graph signal denoising,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:34:23.318212Z

Source-reported events for the cited work

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Observation b57a5406-0406-4273-bebe-1ab08eb210f8 · outbound

This paper cites Graph signal processing: Overview, challenges, and ap- plications,.

Unrolling Dynamic Programming via Graph Filters Graph signal processing: Overview, challenges, and ap- plications,

Reference 6

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Source-reported events for the cited work

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Observation 0ae4a0f6-a269-43f8-a3da-bc2c789344cf · outbound

This paper cites Graph signal processing: History, development, impact, and outlook,.

Unrolling Dynamic Programming via Graph Filters Graph signal processing: History, development, impact, and outlook,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:34:23.297094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5f1ed770-f679-48ec-ae7f-b46ded330288 · outbound

This paper cites Algorithm unrolling: Interpretable, efficient deep learning for signal and image processing,.

Unrolling Dynamic Programming via Graph Filters Algorithm unrolling: Interpretable, efficient deep learning for signal and image processing,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:34:23.282679Z

Source-reported events for the cited work

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Observation f1f980ce-a503-4fe5-90de-3b0e9885ca09 · outbound

This paper cites Robust stochastically- descending unrolled networks,.

Unrolling Dynamic Programming via Graph Filters Robust stochastically- descending unrolled networks,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:34:23.269278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3e138b65-0e45-4e20-9f1e-023ebb594a77 · outbound

This paper cites Graph filters for signal processing and machine learning on graphs,.

Unrolling Dynamic Programming via Graph Filters Graph filters for signal processing and machine learning on graphs,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T12:34:22.634507Z

Source-reported events for the cited work

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Observation 08998098-27b6-4699-b0fe-c3b8f9374d40 · outbound

This paper cites Value iteration networks,.

Unrolling Dynamic Programming via Graph Filters Value iteration networks,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:34:23.246107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation db905d29-aa5c-42b7-ae60-5b9c5404c2c3 · outbound

This paper cites Generalized value iteration networks: Life beyond lattices,.

Unrolling Dynamic Programming via Graph Filters Generalized value iteration networks: Life beyond lattices,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:34:23.233165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7d560094-21cb-4d00-aeb7-af89b6fed9e0 · outbound

This paper cites Graph neural induction of value iteration.

Unrolling Dynamic Programming via Graph Filters Graph neural induction of value iteration

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-06T12:34:22.928958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8eda06f4-cd96-4d00-9bba-a4bdc8013939 · outbound

This paper cites On solving MDPs with large state space: Exploitation of policy structures and spectral properties,.

Unrolling Dynamic Programming via Graph Filters On solving MDPs with large state space: Exploitation of policy structures and spectral properties,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:34:23.219724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3791a7aa-68a4-40af-9c11-10d281967bd2 · outbound

This paper cites Policy sampling and interpolation for wireless networks: A graph signal processing approach,.

Unrolling Dynamic Programming via Graph Filters Policy sampling and interpolation for wireless networks: A graph signal processing approach,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:34:23.206498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8278c33b-29cf-42ae-a376-bafbc03f6691 · outbound

This paper cites Reduced dimension policy iteration for wireless network control via multiscale analysis,.

Unrolling Dynamic Programming via Graph Filters Reduced dimension policy iteration for wireless network control via multiscale analysis,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:34:23.192769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a4c86262-56f5-4eff-8046-c9bc51edbc2f · outbound

This paper cites Stability properties of graph neural networks,.

Unrolling Dynamic Programming via Graph Filters Stability properties of graph neural networks,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T12:34:22.663413Z

Source-reported events for the cited work

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Observation c5d6315c-082a-4166-92ad-1dc71cdcff77 · outbound

This paper cites Graph neural networks: Architec- tures, stability, and transferability,.

Unrolling Dynamic Programming via Graph Filters Graph neural networks: Architec- tures, stability, and transferability,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T12:34:22.667515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10cf6142-f21c-4fde-b019-a45a48913596 · outbound

This paper cites Trans- ferability of spectral graph convolutional neural networks,.

Unrolling Dynamic Programming via Graph Filters Trans- ferability of spectral graph convolutional neural networks,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T12:34:22.671618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a15d84e-183e-41f6-a07f-eae1b33e5211 · outbound

This paper cites Learning by transference: Training graph neural networks on growing graphs,.

Unrolling Dynamic Programming via Graph Filters Learning by transference: Training graph neural networks on growing graphs,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:34:23.151296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 890057bd-be24-4da9-b83a-6a6df5b56eda · outbound

This paper cites Re- designing graph filter-based GNNs to relax the homophily assumption,.

Unrolling Dynamic Programming via Graph Filters Re- designing graph filter-based GNNs to relax the homophily assumption,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:34:23.137247Z

Source-reported events for the cited work

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Observation a0e824fc-d847-46f8-b72c-ae8d289195ef · outbound

This paper cites A manifold perspective on the statistical generalization of graph neural networks,.

Unrolling Dynamic Programming via Graph Filters A manifold perspective on the statistical generalization of graph neural networks,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:34:23.123441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation db6debb3-664b-489d-ac53-2b269f0210b9 · outbound

This paper cites Dynamic programming,.

Unrolling Dynamic Programming via Graph Filters Dynamic programming,

Reference 23

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Source-reported events for the cited work

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Observation e3d03c19-0312-4447-a419-1da8f0fae226 · outbound

This paper cites Robust graph filter identification and graph denoising from signal observations,.

Unrolling Dynamic Programming via Graph Filters Robust graph filter identification and graph denoising from signal observations,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:34:23.101429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8c827364-ecec-4473-8c1f-6baa7de9870b · outbound

This paper cites Optimal graph-filter design and applications to distributed linear network operators,.

Unrolling Dynamic Programming via Graph Filters Optimal graph-filter design and applications to distributed linear network operators,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:34:23.086800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 66963567-4a9f-4874-a7ea-0dfd613e8eaa · outbound

This paper cites Least-squares policy iteration,.

Unrolling Dynamic Programming via Graph Filters Least-squares policy iteration,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:34:23.072185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation de3b0fa4-2112-4dd6-bbd7-b9d4744a5873 · outbound

This paper cites A tutorial on linear function approximators for dynamic programming and reinforcement learning,.

Unrolling Dynamic Programming via Graph Filters A tutorial on linear function approximators for dynamic programming and reinforcement learning,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:34:23.058596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 44686289-3b59-44af-bfac-5512128ae7ca · outbound

This paper cites FLAMBE: Structural complexity and representation learning of low rank MDPs,.

Unrolling Dynamic Programming via Graph Filters FLAMBE: Structural complexity and representation learning of low rank MDPs,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:34:23.045153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2de5668f-bf81-4826-82cd-b3b869fe46ac · outbound

This paper cites Tensor and matrix low- rank value-function approximation in reinforcement learning,.

Unrolling Dynamic Programming via Graph Filters Tensor and matrix low- rank value-function approximation in reinforcement learning,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:34:23.032022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 19700877-a78c-4093-bafd-44b6dca8198a · outbound

This paper cites Addressing Finite-Horizon MDPs via Low-Rank Tensor Value Approximation.

Unrolling Dynamic Programming via Graph Filters Addressing Finite-Horizon MDPs via Low-Rank Tensor Value Approximation

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-08-06T12:34:22.910770Z

Source-reported events for the cited work

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Observation fce02d6f-2d25-4b0c-891b-ce8855720469 · outbound

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Unrolling Dynamic Programming via Graph Filters Kernel-based reinforcement learning,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:34:23.018509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a5b0fab7-793c-4fe2-a540-c6a09f1fbcd7 · outbound

This paper cites Nonparametric Bellman mappings for value iteration in distributed reinforcement learning,.

Unrolling Dynamic Programming via Graph Filters Nonparametric Bellman mappings for value iteration in distributed reinforcement learning,

Reference 32

Resolution: verified exact; raw_fallback, observed 2026-08-06T12:34:22.891330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1fd04253-d7b9-4bc1-a147-d9040a126298 · outbound

This paper cites an unresolved cited work.

Unrolling Dynamic Programming via Graph Filters Unresolved cited work

Reference 33

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Source-reported events for the cited work

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Observation e4be266b-666e-4fac-be1b-7baf8f6f707c · outbound

This paper cites an unresolved cited work.

Unrolling Dynamic Programming via Graph Filters Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-06T12:34:22.996422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 17c5f3d3-6866-4d4f-9cc3-0e1e9429c0bd · outbound

This paper cites Algorithmic survey of parametric value function approximation,.

Unrolling Dynamic Programming via Graph Filters Algorithmic survey of parametric value function approximation,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:34:22.982550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9cfa119b-3bb5-4eff-8e09-1cd3447f3e02 · outbound

This paper cites A generalized Kalman filter for fixed point approximation and efficient temporal-difference learning,.

Unrolling Dynamic Programming via Graph Filters A generalized Kalman filter for fixed point approximation and efficient temporal-difference learning,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:34:22.968912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e6f3b6aa-1321-4c1d-8645-b3fa72fd7629 · outbound

This paper cites TD convergence: An optimization perspective,.

Unrolling Dynamic Programming via Graph Filters TD convergence: An optimization perspective,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:34:22.954553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b5c1ba17-5320-4af0-bb90-04201519dd19 · outbound

This paper cites Simplifying neural networks by soft weight-sharing,.

Unrolling Dynamic Programming via Graph Filters Simplifying neural networks by soft weight-sharing,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:34:22.941938Z

Source-reported events for the cited work

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Observation 61b66cc5-1c62-4e8c-9101-cd7494f065db · outbound

This paper cites OpenAI Gym.

Unrolling Dynamic Programming via Graph Filters OpenAI Gym

Reference 39

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 299dbc52-df13-4fcb-94f7-c69bb6fc8b4c · outbound

This paper cites Gymnasium: A Standard Interface for Reinforcement Learning Environments.

Unrolling Dynamic Programming via Graph Filters Gymnasium: A Standard Interface for Reinforcement Learning Environments

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T12:34:22.755810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.