Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T04:19:52.182854Z
Paper Citation Record · LEDGER
Enhancing ML Model Interpretability: Leveraging Fine-Tuned Large Language Models for Better Understanding of AI
As of 23 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 0 inbound Pith citation observations for arXiv:2505.02859.
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 2026-08-23T06:30:58.430688+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
10 of 10 outbound references displayed
- verified exact1
- verified fuzzy2
- unresolved7
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation e9012e63-b819-4dae-81d6-8fa7ec36c6ad · outbound
This paper cites Gradio: Hassle-Free Sharing and Testing of ML Models in the Wild.
Enhancing ML Model Interpretability: Leveraging Fine-Tuned Large Language Models for Better Understanding of AI Gradio: Hassle-Free Sharing and Testing of ML Models in the Wild
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:19:52.129649Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation edb75634-263a-4065-b69e-e4206c9a1fbd · outbound
This paper cites 16 Peffers, K., Tuunanen, T., Rothenberger, M.
Enhancing ML Model Interpretability: Leveraging Fine-Tuned Large Language Models for Better Understanding of AI 16 Peffers, K., Tuunanen, T., Rothenberger, M
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:19:52.362455Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation a2426750-24ff-4c12-a207-ecfcc567a343 · outbound
This paper cites Towards A Rigorous Science of Interpretable Machine Learning.
Enhancing ML Model Interpretability: Leveraging Fine-Tuned Large Language Models for Better Understanding of AI Towards A Rigorous Science of Interpretable Machine Learning
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:19:52.135843Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7b1ca2d4-da5c-42a1-8fc0-354cb047beb8 · outbound
This paper cites BloombergGPT: A Large Language Model for Finance.
Enhancing ML Model Interpretability: Leveraging Fine-Tuned Large Language Models for Better Understanding of AI BloombergGPT: A Large Language Model for Finance
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:19:52.182854Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 538469e6-f15e-45ae-8d7e-d181e162eb21 · outbound
This paper cites an unresolved cited work.
Enhancing ML Model Interpretability: Leveraging Fine-Tuned Large Language Models for Better Understanding of AI Unresolved cited work
Reference 31
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T04:19:52.342712Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 32740559-5221-4fd7-b662-8477c2bc3596 · outbound
This paper cites Towards a Continuous Knowledge Learning Engine for Chatbots.
Enhancing ML Model Interpretability: Leveraging Fine-Tuned Large Language Models for Better Understanding of AI Towards a Continuous Knowledge Learning Engine for Chatbots
Reference 52
- Resolution
- verified exact
- local_arxiv, observed 2026-08-16T04:19:52.266527Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation fe6808db-4226-4bbe-a3b7-bf4bc94406c5 · outbound
This paper cites an unresolved cited work.
Enhancing ML Model Interpretability: Leveraging Fine-Tuned Large Language Models for Better Understanding of AI Unresolved cited work
Reference 289
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T04:19:52.323549Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation e7c09304-4fbf-4f67-a555-4e88b2d0f1c2 · outbound
This paper cites 15 Hu, E.
Reference 2025
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T04:19:52.400401Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation d9dc676e-cf2d-43f7-a594-6947ac52e892 · outbound
This paper cites an unresolved cited work.
Enhancing ML Model Interpretability: Leveraging Fine-Tuned Large Language Models for Better Understanding of AI Unresolved cited work
Reference 4777
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T04:19:52.381666Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation aef89022-9721-4ba0-9b65-83d45b720eac · outbound
This paper cites LLaMA: Open and Efficient Foundation Language Models.
Enhancing ML Model Interpretability: Leveraging Fine-Tuned Large Language Models for Better Understanding of AI LLaMA: Open and Efficient Foundation Language Models
Reference 4813
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:19:52.176611Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.