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Paper Citation Record · LEDGER

Impact of Representation Learning in Linear Bandits

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2010.06531.

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

pith.paper-citation-record.v1
2010.06531 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 2026-08-21T06:32:19.484+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T19:04:10.165161Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T17:33:02.663857Z

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 98ec9e55-a16d-40ce-b022-f91668415b4c · inbound

Decentralized Contextual Bandits with Network Adaptivity cites this paper.

Decentralized Contextual Bandits with Network Adaptivity Impact of Representation Learning in Linear Bandits

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-05T19:04:10.165161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T19:04:10.165161Z digest=sha256:b3971a1638709fa7f75f9a7c0de72e5582e6b654d08029585bde28c32350d58b

Observation e8d136c1-f65a-4339-974e-246dc025eeb4 · inbound

Provable Multi-Task Reinforcement Learning: A Representation Learning Framework with Low Rank Rewards cites this paper.

Provable Multi-Task Reinforcement Learning: A Representation Learning Framework with Low Rank Rewards Impact of Representation Learning in Linear Bandits

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-13T17:33:02.665260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-13T17:28:11.704254Z digest=sha256:349df76481601200d52ed246911da5d5fbb6caf2736e746f26e79ff9ae9d9116

Observation 87f7b0ba-3d71-43c0-9ea5-137da1c04bda · inbound

Multi-Task Representation Learning for Conservative Linear Bandits cites this paper.

Multi-Task Representation Learning for Conservative Linear Bandits Impact of Representation Learning in Linear Bandits

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-13T07:12:27.888014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-13T07:12:06.759848Z digest=sha256:a9d60a06e2aa15caa69c41d27b453877d4f8c070c00048afa0e465af0b2b80ad