Paper Citation Record · LEDGER

Mitigating Large Language Model Hallucination with Faithful Finetuning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2406.11267.

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

pith.paper-citation-record.v1
2406.11267 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T22:23:27.819703Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T17:28:44.635985Z

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 a3af8d04-62d3-4be0-b553-0a72efb441f8 · inbound

TruthFlow: Truthful LLM Generation via Representation Flow Correction cites this paper.

TruthFlow: Truthful LLM Generation via Representation Flow Correction Mitigating Large Language Model Hallucination with Faithful Finetuning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-08T22:23:27.819703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5098cfae-e73a-4342-93af-15739d74458a · inbound

LowRA: Accurate and Efficient LoRA Fine-Tuning of LLMs under 2 Bits cites this paper.

LowRA: Accurate and Efficient LoRA Fine-Tuning of LLMs under 2 Bits Mitigating Large Language Model Hallucination with Faithful Finetuning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-08T10:26:45.439858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e429d65-2cda-4f55-81f7-07a132fccac6 · inbound

ReqBrain: Task-Specific Instruction Tuning of LLMs for AI-Assisted Requirements Generation cites this paper.

ReqBrain: Task-Specific Instruction Tuning of LLMs for AI-Assisted Requirements Generation Mitigating Large Language Model Hallucination with Faithful Finetuning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T14:48:02.849746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f524dae-8464-4392-ad7b-8baaee3e852b · inbound

From Extraction to Synthesis: Entangled Heuristics for Agent-Augmented Strategic Reasoning cites this paper.

From Extraction to Synthesis: Entangled Heuristics for Agent-Augmented Strategic Reasoning Mitigating Large Language Model Hallucination with Faithful Finetuning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T16:24:05.715721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2235ca12-16ac-492d-9b26-185d58d9cab0 · inbound

Exploring Causal Effect of Social Bias on Faithfulness Hallucinations in Large Language Models cites this paper.

Exploring Causal Effect of Social Bias on Faithfulness Hallucinations in Large Language Models Mitigating Large Language Model Hallucination with Faithful Finetuning

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-05T21:58:54.445386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de4ddc77-5da3-4554-8cd2-83c132b47af5 · inbound

Learning from AVA: Early Lessons from a Curated and Trustworthy Generative AI for Policy and Development Research cites this paper.

Learning from AVA: Early Lessons from a Curated and Trustworthy Generative AI for Policy and Development Research Mitigating Large Language Model Hallucination with Faithful Finetuning

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:10:22.927760Z

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.

Observation da7a8fee-6ddd-4625-89c9-ec350d4eaa90 · inbound

HalluScore: Large Language Model Hallucination Question Answering Benchmark cites this paper.

HalluScore: Large Language Model Hallucination Question Answering Benchmark Mitigating Large Language Model Hallucination with Faithful Finetuning

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-19T20:32:45.431359Z

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.

Observation ca0661dd-8506-4b68-8dd5-3d49b357b416 · inbound

BALTO: Balanced Token-Level Policy Optimization for Hallucination Mitigation cites this paper.

BALTO: Balanced Token-Level Policy Optimization for Hallucination Mitigation Mitigating Large Language Model Hallucination with Faithful Finetuning

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-03T17:28:44.637465Z

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.

Observation 02e4857f-ff6f-4fa8-b8ca-3319a49e7236 · inbound

Knowledge Injection Exists in MoE? Exploring Expert-Aware Contrast Decoding in MoE for Mitigating LLMs'Hallucinations cites this paper.

Knowledge Injection Exists in MoE? Exploring Expert-Aware Contrast Decoding in MoE for Mitigating LLMs'Hallucinations Mitigating Large Language Model Hallucination with Faithful Finetuning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T14:37:31.212348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e91a0aab-05c8-43c3-a9fc-406a76696097 · inbound

Decomposed Entailment for Factuality Checking and Hallucination Detection cites this paper.

Decomposed Entailment for Factuality Checking and Hallucination Detection Mitigating Large Language Model Hallucination with Faithful Finetuning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T22:53:05.153034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.