Paper Citation Record · LEDGER

Controlled Hallucinations: Learning to Generate Faithfully from Noisy Data

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2010.05873.

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

pith.paper-citation-record.v1
2010.05873 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:57:59.943282Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T22:30:44.843930Z

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 b9a7c6a6-42e4-42f4-b577-5eff600e7ed8 · inbound

Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment cites this paper.

Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Controlled Hallucinations: Learning to Generate Faithfully from Noisy Data

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-05-17T22:30:44.846293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b1d253ad-04e5-4493-b1c3-ad7ea2316b3b · inbound

Bridging the Safety Gap: A Guardrail Pipeline for Trustworthy LLM Inferences cites this paper.

Bridging the Safety Gap: A Guardrail Pipeline for Trustworthy LLM Inferences Controlled Hallucinations: Learning to Generate Faithfully from Noisy Data

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-08T10:23:06.087505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5edd11f5-568c-400f-9aa2-29df28ae5ca0 · inbound

Interpretable Zero-shot Learning with Infinite Class Concepts cites this paper.

Interpretable Zero-shot Learning with Infinite Class Concepts Controlled Hallucinations: Learning to Generate Faithfully from Noisy Data

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T23:57:59.943282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bb13d16-3a6e-4fe7-aee0-cc907950df7d · inbound

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models cites this paper.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Controlled Hallucinations: Learning to Generate Faithfully from Noisy Data

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T20:58:09.460725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49bf99fb-d3aa-4c22-b1bf-96bcecba2ae6 · inbound

Hallucination Detection with Small Language Models cites this paper.

Hallucination Detection with Small Language Models Controlled Hallucinations: Learning to Generate Faithfully from Noisy Data

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:43.157795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3848462b-accc-43b0-baf0-7f55201f2572 · inbound

OpenFActScore: Open-Source Atomic Evaluation of Factuality in Text Generation cites this paper.

OpenFActScore: Open-Source Atomic Evaluation of Factuality in Text Generation Controlled Hallucinations: Learning to Generate Faithfully from Noisy Data

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T19:20:16.520337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.