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Paper Citation Record · LEDGER

EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2110.03177.

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

pith.paper-citation-record.v1
2110.03177 v8

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:51:35.714690Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T11:32:17.618935Z

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 0f97e972-8758-4f94-8edd-8bf40a2ae367 · inbound

Contextual bandits with entropy-based human feedback cites this paper.

Contextual bandits with entropy-based human feedback EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits

Reference 2002

Resolution
unresolved
no resolver link, observed 2026-08-07T23:51:35.714690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:51:35.714690Z digest=sha256:c3297e900b74ecb7c14b91ef4a3df18b44ae64bfa8790e9799a87ca5c092de3b

Observation 253db32e-3bc6-43bc-809c-a752375db668 · inbound

SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence cites this paper.

SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T23:49:14.422278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T23:49:14.422278Z digest=sha256:e7b0f8724f0a9c8a7919c36e7ff28ea79cb79ecc2b9f460d58d67821281611e7

Observation 06414120-5098-47d2-acbf-634eb8d4b603 · inbound

Neural Variance-aware Dueling Bandits with Deep Representation and Shallow Exploration cites this paper.

Neural Variance-aware Dueling Bandits with Deep Representation and Shallow Exploration EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-19T11:32:17.622641Z

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.

source=pdf_text observed=2026-05-19T11:29:47.911870Z digest=sha256:3b26f49ed99100adae8846ca5820d2e503fdfcf2ef1c9059b8d38d410896df82

Observation e849883e-fba2-4e58-8641-b5dfa1356177 · inbound

Neural Variance-aware Dueling Bandits with Deep Representation and Shallow Exploration cites this paper.

Neural Variance-aware Dueling Bandits with Deep Representation and Shallow Exploration EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T11:58:33.742784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:58:33.742784Z digest=sha256:55ff881694cdd5f591d15bf8853426cad919640bfbd301b49c90c6dfd3c47ab5

Observation c08bc85f-051e-4188-af32-16d2bf741eb5 · inbound

Mixture of Sequence: Theme-Aware Mixture-of-Experts for Long-Sequence Recommendation cites this paper.

Mixture of Sequence: Theme-Aware Mixture-of-Experts for Long-Sequence Recommendation EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-15T17:31:22.195151Z

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.

source=pdf_text observed=2026-05-15T17:30:44.919870Z digest=sha256:17623cc4b1232c3c09eaa7db0633baa2bc06ae6db1143739964910a80acc26fd