Paper Citation Record · LEDGER

Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 35 inbound Pith citation observations for arXiv:2405.05904.

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

pith.paper-citation-record.v1
2405.05904 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 35 of 35 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:35:30.083461Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T00:04:06.739008Z

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 11edd4ec-9ab3-445c-8016-451d6a5d66e9 · inbound

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions cites this paper.

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?

Reference 101

Resolution: verified exact; arxiv_id, observed 2026-05-13T02:46:27.569804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 31f05847-ef84-494d-971d-d9e1782e620e · inbound

AmoebaLLM: Constructing Any-Shape Large Language Models for Efficient and Instant Deployment cites this paper.

AmoebaLLM: Constructing Any-Shape Large Language Models for Efficient and Instant Deployment Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T19:35:30.083461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c00d3641-0e0e-4fbb-9cc9-07366f6a8ec5 · inbound

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs cites this paper.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T18:51:31.746912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d6912d1-07bb-4808-af9f-6c217adcd042 · inbound

Do Large Language Models Perform Latent Multi-Hop Reasoning without Exploiting Shortcuts? cites this paper.

Do Large Language Models Perform Latent Multi-Hop Reasoning without Exploiting Shortcuts? Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T12:53:38.765378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8910bbd-b644-42c1-985d-6c6d9f941408 · inbound

Beyond Sight: Towards Cognitive Alignment in LVLM via Enriched Visual Knowledge cites this paper.

Beyond Sight: Towards Cognitive Alignment in LVLM via Enriched Visual Knowledge Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T12:59:46.691039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 732acfeb-ccd9-4000-9300-860fb12768a9 · inbound

Beyond Surface Structure: A Causal Assessment of LLMs' Comprehension Ability cites this paper.

Beyond Surface Structure: A Causal Assessment of LLMs' Comprehension Ability Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-12T10:18:02.103443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c5cf851-4d78-46c7-b1c0-22654c724981 · inbound

On Adversarial Robustness of Language Models in Transfer Learning cites this paper.

On Adversarial Robustness of Language Models in Transfer Learning Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:41.757245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae6e3497-3cd6-4f36-8ce1-97545eb8ea0e · inbound

Decoding Knowledge in Large Language Models: A Framework for Categorization and Comprehension cites this paper.

Decoding Knowledge in Large Language Models: A Framework for Categorization and Comprehension Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T22:33:24.017178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdc80ffe-d3e7-406c-9b49-22f2d8d9ab80 · inbound

Visual RAG: Expanding MLLM visual knowledge without fine-tuning cites this paper.

Visual RAG: Expanding MLLM visual knowledge without fine-tuning Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T18:59:22.330426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11d12a21-ca32-4651-94b9-44a7c7ed2135 · inbound

OntoTune: Ontology-Driven Self-training for Aligning Large Language Models cites this paper.

OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-08T19:12:42.238886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73e71acc-819f-45bd-b72c-44fa5b27caea · inbound

Refine Knowledge of Large Language Models via Adaptive Contrastive Learning cites this paper.

Refine Knowledge of Large Language Models via Adaptive Contrastive Learning Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-08T13:36:24.636744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71483c38-9e7a-49ef-8260-ff5294e1f711 · inbound

The Hallucination Tax of Reinforcement Finetuning cites this paper.

The Hallucination Tax of Reinforcement Finetuning Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T15:44:30.995190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 413b14db-df5e-45d4-a4ae-da33be469d06 · inbound

SLearnLLM: A Self-Learning Framework for Efficient Domain-Specific Adaptation of Large Language Models cites this paper.

SLearnLLM: A Self-Learning Framework for Efficient Domain-Specific Adaptation of Large Language Models Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T14:50:04.399257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfaabf00-13a2-4708-8f88-4c91022a859d · inbound

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? cites this paper.

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:09.948069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcc44dfd-c6e4-4bb4-8e60-94e71ee4ef50 · inbound

Position: Agent Should Invoke External Tools ONLY When Epistemically Necessary cites this paper.

Position: Agent Should Invoke External Tools ONLY When Epistemically Necessary Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:37:15.866589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation aafb8524-eb26-4d8a-a1bc-bc867eb3b7aa · inbound

Quantifying Cross-Modality Memorization in Vision-Language Models cites this paper.

Quantifying Cross-Modality Memorization in Vision-Language Models Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T10:27:48.584237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c8bc5bf-1122-47d1-b6a2-b9a15cace4ba · inbound

When to Trust Context: Self-Reflective Debates for Context Reliability cites this paper.

When to Trust Context: Self-Reflective Debates for Context Reliability Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T06:07:40.050802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83b38b11-3731-4d6f-94f3-6636205811ec · inbound

Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs cites this paper.

Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T04:29:14.005692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f23add95-5d40-4dde-b29e-bcf673da8cce · inbound

ClimateChat: Designing Data and Methods for Instruction Tuning LLMs to Answer Climate Change Queries cites this paper.

ClimateChat: Designing Data and Methods for Instruction Tuning LLMs to Answer Climate Change Queries Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T04:29:07.897574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 908f5f85-53c8-4784-9d84-7d67d006b716 · inbound

AggTruth: Contextual Hallucination Detection using Aggregated Attention Scores in LLMs cites this paper.

AggTruth: Contextual Hallucination Detection using Aggregated Attention Scores in LLMs Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T23:20:57.647659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a74068f-f281-4a93-961a-df4e148d89a8 · inbound

Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models cites this paper.

Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?

Reference 147

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:05.303852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3aedc88a-fa19-4ab2-b62c-047eda7b95d9 · inbound

Bridging Vision and Language: Optimal Transport-Driven Radiology Report Generation via LLMs cites this paper.

Bridging Vision and Language: Optimal Transport-Driven Radiology Report Generation via LLMs Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T20:03:18.055166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b0ef7e6-53de-4928-96f3-a47a72fbb1b0 · inbound

Reconstructing Biological Pathways by Applying Selective Incremental Learning to (Very) Small Language Models cites this paper.

Reconstructing Biological Pathways by Applying Selective Incremental Learning to (Very) Small Language Models Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T19:53:35.574127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d155af6-aae1-48b6-9396-f3180a5213da · inbound

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report cites this paper.

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T05:57:29.226026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3947515b-4eb2-4fa4-8bc6-ed08f8e3234a · inbound

Building Task Bots with Self-learning for Enhanced Adaptability, Extensibility, and Factuality cites this paper.

Building Task Bots with Self-learning for Enhanced Adaptability, Extensibility, and Factuality Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-05T15:38:43.515731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0145a9c8-6083-4740-b07a-1ba22821f32c · inbound

Understanding New-Knowledge-Induced Factual Hallucinations in LLMs: Analysis and Interpretation cites this paper.

Understanding New-Knowledge-Induced Factual Hallucinations in LLMs: Analysis and Interpretation Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:25:35.017061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f682ed51-9f73-4f3d-9de4-b9518bb15eae · inbound

Reinforcement Learning Improves Traversal of Parametric Knowledge in LLMs cites this paper.

Reinforcement Learning Improves Traversal of Parametric Knowledge in LLMs Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T23:27:35.368966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d63afa9b-4eab-430e-bab4-2ef14eb787b0 · inbound

REFLEX: Self-Refining Explainable Fact-Checking via Verdict-Anchored Style Control cites this paper.

REFLEX: Self-Refining Explainable Fact-Checking via Verdict-Anchored Style Control Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-17T05:39:05.969494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ed37aacd-9820-4521-a48e-ef24cbaf73a8 · inbound

REFLEX: Self-Refining Explainable Fact-Checking via Verdict-Anchored Style Control cites this paper.

REFLEX: Self-Refining Explainable Fact-Checking via Verdict-Anchored Style Control Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T20:25:23.381156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89ffba67-33aa-496f-8f79-f2366f96023f · inbound

Why Fine-Tuning Encourages Hallucinations and How to Fix It cites this paper.

Why Fine-Tuning Encourages Hallucinations and How to Fix It Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T10:55:04.177498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation bc4c3590-c941-4da8-9c08-b9214bef1a07 · inbound

EHRAG: Bridging Semantic Gaps in Lightweight GraphRAG via Hybrid Hypergraph Construction and Retrieval cites this paper.

EHRAG: Bridging Semantic Gaps in Lightweight GraphRAG via Hybrid Hypergraph Construction and Retrieval Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T05:51:10.710189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fe2f34f6-4722-466c-8c3d-239259f23235 · inbound

Semantic Layers for Reliable LLM-Powered Data Analytics: A Paired Benchmark of Accuracy and Hallucination Across Three Frontier Models cites this paper.

Semantic Layers for Reliable LLM-Powered Data Analytics: A Paired Benchmark of Accuracy and Hallucination Across Three Frontier Models Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T23:36:13.957302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f0954bd3-2f6a-4fda-af6a-82016c2bd46d · inbound

Cultivating Machine Intelligence: The OMEGA Shift from Top-Down Optimization to Autopoietic Cognitive Ecologies cites this paper.

Cultivating Machine Intelligence: The OMEGA Shift from Top-Down Optimization to Autopoietic Cognitive Ecologies Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-06-30T00:04:06.740424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3d639c06-ea19-406b-ab58-46d4f8d0c07f · inbound

Reliability Scales Inversely: Hallucinations Snowball Faster in Bigger Language Models cites this paper.

Reliability Scales Inversely: Hallucinations Snowball Faster in Bigger Language Models Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-02T09:19:46.528868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81dccf5c-4ffe-4aa8-b452-766737e1b393 · inbound

Data Quality over Capacity: Internalizing Documents into LoRA Adapters for Closed-Book QA cites this paper.

Data Quality over Capacity: Internalizing Documents into LoRA Adapters for Closed-Book QA Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T06:29:15.080412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.