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Paper Citation Record · LEDGER

Mitigating Large Language Model Hallucination with Faithful Finetuning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 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 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T10:26:45.439858Z

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 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.

source=pdf_text observed=2026-08-08T10:26:45.439858Z digest=sha256:3112b6fd23cabed5c6157cf633f00a142a2f2b0e9b7cd5cf9981b78045be8fe4

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.

source=pdf_text observed=2026-08-07T14:48:02.849746Z digest=sha256:2cb81262ca4920db63e994996975611cc0c83e005d2fc7317a0e4d4e624f1726

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.

source=pdf_text observed=2026-08-06T16:24:05.715721Z digest=sha256:0c242e7bafca877b5c6f766f1d93b3fd921b5b13f408a5e44bcdae7ef5c3266b

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.

source=pdf_text observed=2026-08-05T21:58:54.445386Z digest=sha256:5201ce53685c5001ad74e1a91a7050807c27e3688cfa25970e1f2c90516bcaea

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.

source=pdf_text observed=2026-05-10T04:38:00.482850Z digest=sha256:dfbf6009e165bbc9daae9cc7093000ac65acf35d8e40a952448e0adcc12c0b06

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.

source=pdf_text observed=2026-05-19T20:31:20.017866Z digest=sha256:0ea38caad47cad66e3645d94924e1ed8ce3ff559a09250aaaa18f31cd4b9bda3

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.

source=pdf_text observed=2026-06-27T04:07:26.224919Z digest=sha256:b94389f50ef84c01579b09e928edcfb8728bba414e17f8c474eeb69e13e59582

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.

source=arxiv_source observed=2026-08-02T14:37:31.212348Z digest=sha256:51e4117fccec54f1cb5f64c62d85660024cfd89dda6fc685722d8d7521e734d7

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.

source=arxiv_source observed=2026-08-07T22:53:05.153034Z digest=sha256:44fcf70702d5c8d97b786b03f2eb5d667d32cc2505b5bb57f43c57d66cce02dd