Paper Citation Record · LEDGER

Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 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 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T23:27:35.368966Z

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 2026-08-05T06:32:48.257954+00:00.

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 2026-08-05T06:32:48.257954+00:00.

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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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.