Paper Citation Record · LEDGER

Contextual Bandits for Unbounded Context Distributions

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2408.09655.

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

pith.paper-citation-record.v1
2408.09655 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:51:10.821947Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T04:13:33.994059Z

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 84cf21c9-33f4-47b7-89ad-4104f0f57083 · inbound

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion cites this paper.

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion Contextual Bandits for Unbounded Context Distributions

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:10.821947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 371f050b-ea65-493e-8fac-6e55dcae6894 · inbound

Research on Personalized Financial Product Recommendation by Integrating Large Language Models and Graph Neural Networks cites this paper.

Research on Personalized Financial Product Recommendation by Integrating Large Language Models and Graph Neural Networks Contextual Bandits for Unbounded Context Distributions

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T10:16:53.168491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3418b96b-e471-41b7-ba3b-fe1dd1d743d5 · inbound

Research on E-Commerce Long-Tail Product Recommendation Mechanism Based on Large-Scale Language Models cites this paper.

Research on E-Commerce Long-Tail Product Recommendation Mechanism Based on Large-Scale Language Models Contextual Bandits for Unbounded Context Distributions

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T12:04:54.134270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06a084de-add7-469d-8f13-b4bb40d9c499 · inbound

Deep Learning Model Acceleration and Optimization Strategies for Real-Time Recommendation Systems cites this paper.

Deep Learning Model Acceleration and Optimization Strategies for Real-Time Recommendation Systems Contextual Bandits for Unbounded Context Distributions

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:13:34.072529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.