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Paper Citation Record · LEDGER

Scalable Submodular Policy Optimization via Pruned Submodularity Graph

As of 16 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2507.13834.

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

pith.paper-citation-record.v1
2507.13834 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:22:26.547973Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

32 of 32 outbound references displayed

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  • verified fuzzy23
  • unresolved5
  • parse uncertain1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e2711eb7-3cb5-4cb0-938e-b1f0c15c69e8 · outbound

This paper cites In: International Conference on Advanced Data Mining and Applications.

Scalable Submodular Policy Optimization via Pruned Submodularity Graph In: International Conference on Advanced Data Mining and Applications

Reference 1

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Observation 1d39428e-4d05-4e43-9b33-d770d7f052a1 · outbound

This paper cites Influential Billboard Slot Selection using Spatial Clustering and Pruned Submodularity Graph.

Scalable Submodular Policy Optimization via Pruned Submodularity Graph Influential Billboard Slot Selection using Spatial Clustering and Pruned Submodularity Graph

Reference 2

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Observation 0e38dc00-774b-430d-90b0-e265a050c360 · outbound

This paper cites Advances in Neural Information Processing Systems 30 (2017).

Scalable Submodular Policy Optimization via Pruned Submodularity Graph Advances in Neural Information Processing Systems 30 (2017)

Reference 3

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Observation 5fd37600-a49c-480e-aeaa-598f4d385d11 · outbound

This paper cites In: Proceedings eighth IEEE international conference on computer vision.

Scalable Submodular Policy Optimization via Pruned Submodularity Graph In: Proceedings eighth IEEE international conference on computer vision

Reference 4

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation deab4a1f-d544-41c0-8ecf-5e8a97299f31 · outbound

This paper cites Mathematical Programming154, 225–247 (2015).

Scalable Submodular Policy Optimization via Pruned Submodularity Graph Mathematical Programming154, 225–247 (2015)

Reference 5

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 9ccde5f3-3c0a-4a24-b39d-f2d43eaa8ca9 · outbound

This paper cites Advances in Neural Information Processing Systems29 (2016).

Scalable Submodular Policy Optimization via Pruned Submodularity Graph Advances in Neural Information Processing Systems29 (2016)

Reference 6

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f835b7fe-ebbf-41e1-904a-399d100cd04d · outbound

This paper cites Springer (2020).

Scalable Submodular Policy Optimization via Pruned Submodularity Graph Springer (2020)

Reference 7

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 2bc27865-8e9c-4f4e-b227-8f43a4ad7bad · outbound

This paper cites Submodular Functions: Extensions, Distributions, and Algorithms. A Survey.

Scalable Submodular Policy Optimization via Pruned Submodularity Graph Submodular Functions: Extensions, Distributions, and Algorithms. A Survey

Reference 8

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Source-reported events for the cited work

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Observation 898f884d-05c8-4c67-a9a9-d868abecebdf · outbound

This paper cites Journal of Algorithms37(1), 66–84 (2000).

Scalable Submodular Policy Optimization via Pruned Submodularity Graph Journal of Algorithms37(1), 66–84 (2000)

Reference 9

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 7f94a53d-8806-46dc-8587-317b24b37449 · outbound

This paper cites European Journal of Oper- ational Research 255(2), 315–332 (2016).

Scalable Submodular Policy Optimization via Pruned Submodularity Graph European Journal of Oper- ational Research 255(2), 315–332 (2016)

Reference 10

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 2d0c60c6-4053-4176-8969-e537399bcd17 · outbound

This paper cites GPU-Accelerated Optimizer-Aware Evaluation of Submodular Exemplar Clustering.

Scalable Submodular Policy Optimization via Pruned Submodularity Graph GPU-Accelerated Optimizer-Aware Evaluation of Submodular Exemplar Clustering

Reference 11

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Observation 208c7884-bc4b-40c6-9856-a236b9b87301 · outbound

This paper cites Ad- vances in neural information processing systems29 (2016).

Scalable Submodular Policy Optimization via Pruned Submodularity Graph Ad- vances in neural information processing systems29 (2016)

Reference 12

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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This paper cites In: Proceedings of the ninth ACM SIGKDD international confer- ence on Knowledge discovery and data mining.

Scalable Submodular Policy Optimization via Pruned Submodularity Graph In: Proceedings of the ninth ACM SIGKDD international confer- ence on Knowledge discovery and data mining

Reference 13

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Observation 6e236d18-91a5-4ef3-9d8d-60af752650aa · outbound

This paper cites Tractability3(71- 104), 3 (2014) Anand et al.

Scalable Submodular Policy Optimization via Pruned Submodularity Graph Tractability3(71- 104), 3 (2014) Anand et al

Reference 14

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Observation dfb41f89-a6b7-4ad5-a38d-060bfb21c7a5 · outbound

This paper cites Near-optimal Nonmyopic Value of Information in Graphical Models.

Scalable Submodular Policy Optimization via Pruned Submodularity Graph Near-optimal Nonmyopic Value of Information in Graphical Models

Reference 15

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Unavailable: canonical work link unavailable.

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Observation ff542ee7-8045-4c83-b7eb-e301c0667a69 · outbound

This paper cites Journal of Machine Learning Research 9(2) (2008).

Scalable Submodular Policy Optimization via Pruned Submodularity Graph Journal of Machine Learning Research 9(2) (2008)

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation c9187066-18bf-4f41-a604-2827024c3f72 · outbound

This paper cites SIAM Journal on Discrete Mathematics 23(4), 2053–2078 (2010).

Scalable Submodular Policy Optimization via Pruned Submodularity Graph SIAM Journal on Discrete Mathematics 23(4), 2053–2078 (2010)

Reference 17

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This paper cites In: Berkhin, P., Caruana, R., Wu, X.

Scalable Submodular Policy Optimization via Pruned Submodularity Graph In: Berkhin, P., Caruana, R., Wu, X

Reference 18

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This paper cites Transportation research part B: methodological171, 29–43 (2023).

Scalable Submodular Policy Optimization via Pruned Submodularity Graph Transportation research part B: methodological171, 29–43 (2023)

Reference 19

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Observation 8043c63f-2d80-413f-bc56-44b4842ad1fa · outbound

This paper cites In: Proceedings of the 49th annual meeting of the association for computational linguistics: human language technologies.

Scalable Submodular Policy Optimization via Pruned Submodularity Graph In: Proceedings of the 49th annual meeting of the association for computational linguistics: human language technologies

Reference 20

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 64dd71db-8ba9-4123-a472-55474eb6d348 · outbound

This paper cites The Journal of Machine Learning Research17(1), 8330–8373 (2016).

Scalable Submodular Policy Optimization via Pruned Submodularity Graph The Journal of Machine Learning Research17(1), 8330–8373 (2016)

Reference 21

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Observation abcf6845-aa70-4236-b70f-b7e803fc3c77 · outbound

This paper cites Mathematical programming14, 265–294 (1978).

Scalable Submodular Policy Optimization via Pruned Submodularity Graph Mathematical programming14, 265–294 (1978)

Reference 22

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Observation 849bb8c3-526e-4a72-8623-6b20c14df2e9 · outbound

This paper cites Submodular Reinforcement Learning.

Scalable Submodular Policy Optimization via Pruned Submodularity Graph Submodular Reinforcement Learning

Reference 23

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Observation 24b8172c-ca86-483c-972c-92a8cd2cf686 · outbound

This paper cites Advances in Neural Information Processing Sys- tems 35, 14998–15012 (2022).

Scalable Submodular Policy Optimization via Pruned Submodularity Graph Advances in Neural Information Processing Sys- tems 35, 14998–15012 (2022)

Reference 24

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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This paper cites In: International Conference on Machine Learning.

Scalable Submodular Policy Optimization via Pruned Submodularity Graph In: International Conference on Machine Learning

Reference 25

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 86405160-e04e-494b-b259-a11b2fdffd81 · outbound

This paper cites an unresolved cited work.

Scalable Submodular Policy Optimization via Pruned Submodularity Graph Unresolved cited work

Reference 26

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f503c3de-35de-4a49-ab02-a5290e5d9df2 · outbound

This paper cites of: Proceedings of the Second International CSP Solver Competition pp.

Scalable Submodular Policy Optimization via Pruned Submodularity Graph of: Proceedings of the Second International CSP Solver Competition pp

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation d26387be-782f-42e7-b66f-e33d3a6b002d · outbound

This paper cites In: 2017 IEEE 56th Annual Conference on De- cision and Control (CDC).

Scalable Submodular Policy Optimization via Pruned Submodularity Graph In: 2017 IEEE 56th Annual Conference on De- cision and Control (CDC)

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation d53d7bd9-a2ca-4f9a-963e-3b34d08c775f · outbound

This paper cites A Bradford Book (2018).

Scalable Submodular Policy Optimization via Pruned Submodularity Graph A Bradford Book (2018)

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b7cf5a72-2232-45dc-a7a1-9abc713b0b99 · outbound

This paper cites SIAM Journal on Discrete Mathematics33(3), 1452–1471 (2019).

Scalable Submodular Policy Optimization via Pruned Submodularity Graph SIAM Journal on Discrete Mathematics33(3), 1452–1471 (2019)

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-06T16:22:26.669297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 7e644c78-113d-44c8-956a-b4e3847afbdb · outbound

This paper cites In: Artificial Intelligence and Statistics.

Scalable Submodular Policy Optimization via Pruned Submodularity Graph In: Artificial Intelligence and Statistics

Reference 31

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raw_fallback, observed 2026-08-06T16:22:26.658334Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation bb3421fc-5a42-45e2-9fae-e2125adf256f · outbound

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Scalable Submodular Policy Optimization via Pruned Submodularity Graph Unresolved cited work

Reference 2007

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parse uncertain
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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Pith citing papers

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