Paper Citation Record · LEDGER

Learning When to Trust in Contextual Social Bandits

As of 19 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2603.13356.

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

pith.paper-citation-record.v1
2603.13356 v2

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-15T12:59:04.484292Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

12 of 12 outbound references displayed

verified exact0
verified fuzzy0
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ae9fa60c-e91c-4c2c-9bee-4bb89b3ced2a · outbound

This paper cites Concrete Problems in AI Safety.

Learning When to Trust in Contextual Social Bandits Concrete Problems in AI Safety

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-15T12:59:04.484292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad294c40-e4c1-4e54-9533-7e74bf8a3416 · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

Learning When to Trust in Contextual Social Bandits Constitutional AI: Harmlessness from AI Feedback

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-15T12:59:04.484292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca93db08-baeb-405b-b3ec-e9cc1a04fb04 · outbound

This paper cites Measuring Progress on Scalable Oversight for Large Language Models.

Learning When to Trust in Contextual Social Bandits Measuring Progress on Scalable Oversight for Large Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-15T12:59:04.484292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42e08fb8-2846-423b-9d71-894d5f1b9948 · outbound

This paper cites Towards Understanding the Robustness of LLM-based Evaluations under Perturbations.

Learning When to Trust in Contextual Social Bandits Towards Understanding the Robustness of LLM-based Evaluations under Perturbations

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-15T12:59:04.484292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67e7adb4-8275-450c-b2a8-884ba2dd578d · outbound

This paper cites Objective decoupling in social reinforcement learning: Recovering ground truth from sycophantic majorities.arXiv preprint arXiv:2602.08092,.

Learning When to Trust in Contextual Social Bandits Objective decoupling in social reinforcement learning: Recovering ground truth from sycophantic majorities.arXiv preprint arXiv:2602.08092,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-15T12:59:04.484292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa673148-ca26-4042-be9a-fefa213a439c · outbound

This paper cites an unresolved cited work.

Learning When to Trust in Contextual Social Bandits Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-15T12:59:04.484292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af9cc9f0-4faa-4402-90e9-4a5b49d5fb5f · outbound

This paper cites Fairness and Bias in Truth Discovery Algorithms: An Experimental Analysis.

Learning When to Trust in Contextual Social Bandits Fairness and Bias in Truth Discovery Algorithms: An Experimental Analysis

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-15T12:59:04.484292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e9c2a5f-f1a0-423b-834c-23cf77d26b75 · outbound

This paper cites Provably optimal algorithms for generalized linear contextual bandits.

Learning When to Trust in Contextual Social Bandits Provably optimal algorithms for generalized linear contextual bandits

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-15T12:59:04.484292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7d48e3e-edbd-4f3c-bc2d-3b7341c5eefb · outbound

This paper cites AI Alignment through Reinforcement Learning from Human Feedback? Contradictions and Limitations.

Learning When to Trust in Contextual Social Bandits AI Alignment through Reinforcement Learning from Human Feedback? Contradictions and Limitations

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-15T12:59:04.484292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db83a34c-cb96-493f-889b-35c0dd745e64 · outbound

This paper cites Discovering language model behaviors with model-written evaluations.

Learning When to Trust in Contextual Social Bandits Discovering language model behaviors with model-written evaluations

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-15T12:59:04.484292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff1ecbac-5d5c-487b-875f-5e4162f64762 · outbound

This paper cites Towards Understanding Sycophancy in Language Models.

Learning When to Trust in Contextual Social Bandits Towards Understanding Sycophancy in Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-15T12:59:04.484292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bedcf98-d033-4bef-9643-7864b0f633fe · outbound

This paper cites Antagonising explanation and revealing bias directly through sequencing and multimodal inference.

Learning When to Trust in Contextual Social Bandits Antagonising explanation and revealing bias directly through sequencing and multimodal inference

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-15T12:59:04.484292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.