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Paper Citation Record · LEDGER

Submodular Reinforcement Learning

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2307.13372.

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

pith.paper-citation-record.v1
2307.13372 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:48:18.504316Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T16:22:26.579706Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ed293357-a6ac-4bdf-88ef-c3df1fcc2945 · inbound

Submodular Maximization Subject to Uniform and Partition Matroids: From Theory to Practical Applications and Distributed Solutions cites this paper.

Submodular Maximization Subject to Uniform and Partition Matroids: From Theory to Practical Applications and Distributed Solutions Submodular Reinforcement Learning

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-10T22:44:35.724004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:44:35.724004Z digest=sha256:c4287220c9b55e52fa4380de8f6e2e112658ee9141ec8d1527867900fc0e397e

Observation a6941a96-f167-4990-a7a5-6642208b0ddc · inbound

Provable Maximum Entropy Manifold Exploration via Diffusion Models cites this paper.

Provable Maximum Entropy Manifold Exploration via Diffusion Models Submodular Reinforcement Learning

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-15T19:48:18.504316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T19:48:18.504316Z digest=sha256:bbdcba8e90fa4fb9032684551d009a8d891bfff46df4775eceb0b6b23727436c

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

Scalable Submodular Policy Optimization via Pruned Submodularity Graph cites this paper.

Scalable Submodular Policy Optimization via Pruned Submodularity Graph Submodular Reinforcement Learning

Reference 23

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T16:22:26.584763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:22:26.521631Z digest=sha256:e71b14485470ed64d0a2cb470b2006276f66bc456a39ccf318b58561dc897165