Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-01T08:48:53.634257Z
Paper Citation Record · LEDGER
From Architecture to Output: Structural Origins of Hallucination in Large Language Models and the Amplifying Role of Data
As of 19 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2606.07537.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
15 of 15 outbound references displayed
- verified exact3
- verified fuzzy12
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 2c161d4a-e585-4155-b05f-35402052c2ef · outbound
This paper cites Large language models hallucination: A comprehen- sive survey.
From Architecture to Output: Structural Origins of Hallucination in Large Language Models and the Amplifying Role of Data Large language models hallucination: A comprehen- sive survey
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T08:55:34.956962Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 9e5be92c-8caf-40ab-a21b-5a980970022c · outbound
This paper cites A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions.
From Architecture to Output: Structural Origins of Hallucination in Large Language Models and the Amplifying Role of Data A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T08:55:34.954045Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 5b37bbcd-d95a-4fd8-83c9-3b1e56afa987 · outbound
This paper cites Attention is all you need.
From Architecture to Output: Structural Origins of Hallucination in Large Language Models and the Amplifying Role of Data Attention is all you need
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T12:42:26.142079Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 34184b61-addd-4ce5-a680-fb0ca41f279c · outbound
This paper cites Language models are few-shot learners,.
From Architecture to Output: Structural Origins of Hallucination in Large Language Models and the Amplifying Role of Data Language models are few-shot learners,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T12:42:26.138033Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 21855cf4-f60e-43f8-9a1f-b55ce33eea99 · outbound
This paper cites Sequence level train- ing with recurrent neural networks,.
From Architecture to Output: Structural Origins of Hallucination in Large Language Models and the Amplifying Role of Data Sequence level train- ing with recurrent neural networks,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T12:42:26.141895Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 5e83d4d7-29cf-43d9-ba01-6e17f323ed71 · outbound
This paper cites Self-refine: Iterative refinement with self-feedback,.
From Architecture to Output: Structural Origins of Hallucination in Large Language Models and the Amplifying Role of Data Self-refine: Iterative refinement with self-feedback,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T12:42:26.146019Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation d5926ff0-fe70-43c2-bee2-1b4455909870 · outbound
This paper cites Chain-of-thought prompting elicits reasoning in large language models.
From Architecture to Output: Structural Origins of Hallucination in Large Language Models and the Amplifying Role of Data Chain-of-thought prompting elicits reasoning in large language models
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T12:42:26.129916Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 5d688055-f066-45e4-b434-da4f8606a12f · outbound
This paper cites Lost in the middle: How language models use long contexts.
From Architecture to Output: Structural Origins of Hallucination in Large Language Models and the Amplifying Role of Data Lost in the middle: How language models use long contexts
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T12:42:26.148963Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 451e114d-4183-4533-92c0-77bcb336ddc7 · outbound
This paper cites TruthfulQA: Measuring how models mimic human falsehoods,.
From Architecture to Output: Structural Origins of Hallucination in Large Language Models and the Amplifying Role of Data TruthfulQA: Measuring how models mimic human falsehoods,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T12:42:26.143976Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 94489556-b7b0-4148-9394-855477aab918 · outbound
This paper cites A mathematical framework for transformer circuits,.
From Architecture to Output: Structural Origins of Hallucination in Large Language Models and the Amplifying Role of Data A mathematical framework for transformer circuits,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T12:42:26.126837Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation cf7ae9cd-4c46-4934-b918-01380bea4e9b · outbound
This paper cites The curious case of neural text degeneration,.
From Architecture to Output: Structural Origins of Hallucination in Large Language Models and the Amplifying Role of Data The curious case of neural text degeneration,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T12:42:26.133974Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 7dcba9bc-4029-4dab-89ca-ea8ae83b734d · outbound
This paper cites AI models collapse when trained on recursively generated data,.
From Architecture to Output: Structural Origins of Hallucination in Large Language Models and the Amplifying Role of Data AI models collapse when trained on recursively generated data,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T12:42:26.148180Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation f27db743-f5f6-43e7-9171-e2525e83bdbb · outbound
This paper cites On the dangers of stochastic parrots: Can language models be too big?.
From Architecture to Output: Structural Origins of Hallucination in Large Language Models and the Amplifying Role of Data On the dangers of stochastic parrots: Can language models be too big?
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T12:42:26.139883Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e7306be7-a617-4736-b314-290d85894f1e · outbound
This paper cites Language models are unsupervised multitask learners,.
From Architecture to Output: Structural Origins of Hallucination in Large Language Models and the Amplifying Role of Data Language models are unsupervised multitask learners,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T12:42:26.133736Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 26ba6dd8-7e24-4beb-bd73-e1185dc13510 · outbound
This paper cites Scaling Laws for Neural Language Models.
From Architecture to Output: Structural Origins of Hallucination in Large Language Models and the Amplifying Role of Data Scaling Laws for Neural Language Models
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T08:55:34.951497Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Pith citing papers
No inbound Pith citation observations are available.