Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-08T19:12:42.497744Z
Paper Citation Record · LEDGER
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models
As of 10 August 2026, this Paper Citation Record lists 73 of 73 outbound references and 0 inbound Pith citation observations for arXiv:2502.05478.
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 2026-08-09T06:31:02.800959+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
73 of 73 outbound references displayed
- verified exact11
- verified fuzzy5
- unresolved53
- parse uncertain0
- malformed identifier4
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 6ce16c1f-e1e5-4e5a-b80c-70485ec0a27f · outbound
This paper cites Hippocrates: An Open-Source Framework for Advancing Large Language Models in Healthcare.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Hippocrates: An Open-Source Framework for Advancing Large Language Models in Healthcare
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-08-08T19:12:42.950953Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 9ad9e4d2-5c5b-469e-9c5c-0ebe52ca07fe · outbound
This paper cites an unresolved cited work.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Unresolved cited work
Reference 2
- Resolution
- verified exact
- arxiv_id_nonexistent, observed 2026-08-08T19:12:43.779726Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation cd9af138-0b3d-41d1-a477-7c3d7e47ef7a · outbound
This paper cites Self-Training: A Survey.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Self-Training: A Survey
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T19:12:42.162831Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 14518aea-dd8a-4d55-ba8e-18cbe73f503a · outbound
This paper cites an unresolved cited work.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Unresolved cited work
Reference 4
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T19:12:44.410183Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a0c21cf8-006e-4251-8cfa-bfe20ccc4997 · outbound
This paper cites an unresolved cited work.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Unresolved cited work
Reference 5
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-08T19:12:44.395507Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 546d7004-787e-430f-9368-b39c12de424a · outbound
This paper cites an unresolved cited work.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Unresolved cited work
Reference 6
- Resolution
- verified exact
- doi, observed 2026-08-08T19:12:42.916674Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8a642929-c2b5-4c03-8434-d3decdac5db8 · outbound
This paper cites an unresolved cited work.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Unresolved cited work
Reference 7
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T19:12:44.381504Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 77df825c-1704-4622-9a4e-ecc1d1b98470 · outbound
This paper cites an unresolved cited work.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Unresolved cited work
Reference 8
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-08T19:12:44.368076Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a64869aa-a953-4bd4-8717-33e7c2fa9bc4 · outbound
This paper cites an unresolved cited work.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Unresolved cited work
Reference 9
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T19:12:44.353661Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 9f67b658-d457-486a-8863-bd4b7e92475a · outbound
This paper cites an unresolved cited work.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Unresolved cited work
Reference 10
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T19:12:44.338773Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation fba3c3ee-c576-4693-8856-a7b743141071 · outbound
This paper cites Med42-v2: A Suite of Clinical LLMs.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Med42-v2: A Suite of Clinical LLMs
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T19:12:42.210944Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 54f3235b-5ee2-45a5-9a4a-05d2191785f0 · outbound
This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T19:12:42.216137Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3363441d-72d3-425f-99cd-49470dc1a769 · outbound
This paper cites an unresolved cited work.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Unresolved cited work
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T19:12:42.220774Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c1a21f61-0506-44e5-98e8-83224080b077 · outbound
This paper cites an unresolved cited work.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Unresolved cited work
Reference 14
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T19:12:44.314292Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ce9c5862-54f1-4dbc-b2a0-2b77682277de · outbound
This paper cites The Llama 3 Herd of Models.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models The Llama 3 Herd of Models
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T19:12:42.234172Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 11d12a21-ca32-4651-94b9-44a7c7ed2135 · outbound
This paper cites Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?.
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 19b15a3e-f2a3-4eab-8982-0b476786346a · outbound
This paper cites Aloe: A Family of Fine-tuned Open Healthcare LLMs.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Aloe: A Family of Fine-tuned Open Healthcare LLMs
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T19:12:42.243607Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 31aa9900-12e9-48e6-b99a-5dba4631298d · outbound
This paper cites MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T19:12:42.248876Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dbfa2bbc-fa33-4d76-89cf-9eed2654bdc8 · outbound
This paper cites an unresolved cited work.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Unresolved cited work
Reference 19
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T19:12:44.300163Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 65db3fed-b86e-40e3-ac50-1e907cbbc715 · outbound
This paper cites an unresolved cited work.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Unresolved cited work
Reference 20
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T19:12:44.286130Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1cbde787-187d-40ae-95fc-2fca2ee622b1 · outbound
This paper cites an unresolved cited work.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Unresolved cited work
Reference 21
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T19:12:44.272525Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4bfc0fae-332d-4738-8b7c-6d04f0cecf18 · outbound
This paper cites V-STaR: Training Verifiers for Self-Taught Reasoners.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models V-STaR: Training Verifiers for Self-Taught Reasoners
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T19:12:42.268393Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bd8a21a8-5e12-44bb-bed8-a1f45f4d55eb · outbound
This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T19:12:42.273327Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a4b7efdd-f735-4839-b134-ed301c90a556 · outbound
This paper cites an unresolved cited work.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Unresolved cited work
Reference 24
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T19:12:44.248446Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c50dbbe6-bb57-4b54-a48f-0cdf2cba5c73 · outbound
This paper cites an unresolved cited work.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Unresolved cited work
Reference 26
- Resolution
- verified exact
- doi, observed 2026-08-08T19:12:42.821003Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 6ebd4ac5-f554-44cc-b469-904486b89f96 · outbound
This paper cites Mistral 7B.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Mistral 7B
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T19:12:42.291873Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aed1cd00-8246-4d50-a4ee-2c9154f27401 · outbound
This paper cites What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T19:12:42.296808Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 27770588-df1f-4687-8be9-60855e2de0e9 · outbound
This paper cites Cohen, and Xinghua Lu.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Cohen, and Xinghua Lu
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T19:12:42.301344Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation acc6bd03-0add-4ab9-8de5-4efb9c975be3 · outbound
This paper cites Weld, and Luke Zettlemoyer.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Weld, and Luke Zettlemoyer
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T19:12:42.310420Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dbefec67-d1ec-463f-98a6-ffe50549a0f9 · outbound
This paper cites an unresolved cited work.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Unresolved cited work
Reference 31
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T19:12:44.224958Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 09a3a6d3-70a0-47f7-b939-7c77f47d5fe9 · outbound
This paper cites an unresolved cited work.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Unresolved cited work
Reference 32
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T19:12:44.211993Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation cea41968-ca82-46be-b474-8961c332c679 · outbound
This paper cites Hashimoto.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Hashimoto
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T19:12:44.199632Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation eb7ab7cb-cc31-4da1-897a-1e135540ea71 · outbound
This paper cites Rho-1: Not All Tokens Are What You Need.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Rho-1: Not All Tokens Are What You Need
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T19:12:42.327878Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d030adaf-b3d1-418b-ac6c-30c0da2fd8aa · outbound
This paper cites an unresolved cited work.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Unresolved cited work
Reference 35
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-08T19:12:42.332370Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 14837655-cfb1-4242-a5d8-b2c4f0616f91 · outbound
This paper cites Abdelzaher, and Jiawei Han.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Abdelzaher, and Jiawei Han
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T19:12:44.186506Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8afdf1bc-c6a5-48fc-b18b-0e0d63f0a84a · outbound
This paper cites an unresolved cited work.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Unresolved cited work
Reference 37
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T19:12:44.171097Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 59eda755-962c-4795-9ca6-800573ceaf00 · outbound
This paper cites an unresolved cited work.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Unresolved cited work
Reference 38
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T19:12:43.972959Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a10d4c61-17b9-4405-acd1-1d6640a90926 · outbound
This paper cites an unresolved cited work.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Unresolved cited work
Reference 39
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T19:12:43.959005Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 501a2234-3afd-40c4-837e-54dbddf2ad3f · outbound
This paper cites an unresolved cited work.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Unresolved cited work
Reference 40
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T19:12:43.944940Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1f33e451-1926-4427-a693-e586afbe8c5a · outbound
This paper cites GPT-4 Technical Report.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models GPT-4 Technical Report
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T19:12:42.359527Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 54b13d84-0c48-4d16-b5c2-85318ab7f519 · outbound
This paper cites an unresolved cited work.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Unresolved cited work
Reference 42
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T19:12:43.930672Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 9bfad704-e6ea-4c50-a727-3e6f36eb7a16 · outbound
This paper cites an unresolved cited work.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Unresolved cited work
Reference 43
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T19:12:43.916313Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 806220a5-0bf6-499e-9e65-9183ddc4cb46 · outbound
This paper cites an unresolved cited work.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Unresolved cited work
Reference 44
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T19:12:43.901172Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 30d9b5f9-6f72-415e-b1e6-9a3e404f5cb3 · outbound
This paper cites an unresolved cited work.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Unresolved cited work
Reference 45
- Resolution
- verified exact
- doi, observed 2026-08-08T19:12:42.734910Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 423fa550-1587-46eb-ad87-779b33757634 · outbound
This paper cites an unresolved cited work.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Unresolved cited work
Reference 46
- Resolution
- verified exact
- doi, observed 2026-08-08T19:12:42.719994Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a5d80ac5-8ae1-436f-b5ec-4322afa030e5 · outbound
This paper cites Co-Reyes, Rishabh Agarwal, Ankesh Anand, Piyush Patil, Xavier Garcia, Peter J.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Co-Reyes, Rishabh Agarwal, Ankesh Anand, Piyush Patil, Xavier Garcia, Peter J
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T19:12:43.886452Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation dfa84d83-64fc-410c-8ebc-16b9feca9d53 · outbound
This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T19:12:42.392265Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f03667a0-74b1-41a5-9c55-ae6b8d0f5aa5 · outbound
This paper cites an unresolved cited work.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Unresolved cited work
Reference 49
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T19:12:43.872146Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1a16b395-9e67-4f75-be84-9d5b49f6e733 · outbound
This paper cites Pan, Wen Zhang, and Huajun Chen.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Pan, Wen Zhang, and Huajun Chen
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T19:12:43.855411Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c197ad42-5043-4ae8-8686-36e02fef8439 · outbound
This paper cites Knowledge Mechanisms in Large Language Models: A Survey and Perspective.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Knowledge Mechanisms in Large Language Models: A Survey and Perspective
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T19:12:42.411644Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 79544bbe-f92a-49c7-b93b-b06e37cb187e · outbound
This paper cites an unresolved cited work.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Unresolved cited work
Reference 52
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-08T19:12:42.416919Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e4fd9b4c-1d8d-4163-8509-383fbe164be4 · outbound
This paper cites Smith, Daniel Khashabi, and Hannaneh Hajishirzi.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Smith, Daniel Khashabi, and Hannaneh Hajishirzi
Reference 53
- Resolution
- verified exact
- doi, observed 2026-08-08T19:12:42.660724Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a85a1307-d9ba-4bf3-8e57-f17d536f1fd3 · outbound
This paper cites PMC-LLaMA: Towards Building Open-source Language Models for Medicine.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models PMC-LLaMA: Towards Building Open-source Language Models for Medicine
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T19:12:42.426350Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5bae7c66-f8d1-4f57-8a20-1af6abdd951e · outbound
This paper cites Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T19:12:42.406669Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7a399071-193c-498e-a9a0-05aaa1546f60 · outbound
This paper cites an unresolved cited work.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Unresolved cited work
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T19:12:42.435818Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a37a8480-7127-4dba-8eb6-0eb79dcf3a33 · outbound
This paper cites Hovy, and Quoc V.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Hovy, and Quoc V
Reference 57
- Resolution
- verified exact
- arxiv_id_nonexistent, observed 2026-08-08T19:12:43.374181Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 44b56749-4e16-4510-b77c-325cc006ce4c · outbound
This paper cites Qwen2 Technical Report.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Qwen2 Technical Report
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T19:12:42.445045Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 691a935f-788d-4cee-9e5d-83d19711c395 · outbound
This paper cites GatorTron: A Large Clinical Language Model to Unlock Patient Information from Unstructured Electronic Health Records.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models GatorTron: A Large Clinical Language Model to Unlock Patient Information from Unstructured Electronic Health Records
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T19:12:42.449769Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation af1548e9-f7f1-4979-887c-12e9df60c59e · outbound
This paper cites BloombergGPT: A Large Language Model for Finance.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models BloombergGPT: A Large Language Model for Finance
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T19:12:42.431145Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3b208b9e-d7f9-40a1-a01b-6f28f8112673 · outbound
This paper cites an unresolved cited work.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Unresolved cited work
Reference 61
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T19:12:43.825026Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 41ded22b-cd42-4c3f-ae5b-ec1165ef2eb6 · outbound
This paper cites an unresolved cited work.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Unresolved cited work
Reference 62
- Resolution
- verified exact
- arxiv_id_nonexistent, observed 2026-08-08T19:12:43.173895Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4f99522b-1cd2-4d9c-ba19-96e720711a97 · outbound
This paper cites an unresolved cited work.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Unresolved cited work
Reference 63
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T19:12:42.468232Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a16d0fe4-669d-4455-a633-b5b40b1bd88a · outbound
This paper cites LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models
Reference 64
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T19:12:42.473692Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e6602744-75dc-4c92-b0f8-d73b1db02938 · outbound
This paper cites an unresolved cited work.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Unresolved cited work
Reference 65
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T19:12:43.840285Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation fe4a209f-a2dc-45b1-adfe-57af6ed767c4 · outbound
This paper cites Chen, Peilin Zhou, Junling Liu, Yining Hua, Chengfeng Mao, Xian Wu, Zheng Li, and Fenglin Liu.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Chen, Peilin Zhou, Junling Liu, Yining Hua, Chengfeng Mao, Xian Wu, Zheng Li, and Fenglin Liu
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T19:12:43.794826Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation cf11f771-2b1a-4bde-8873-a75b651ecc03 · outbound
This paper cites LawGPT: A Chinese Legal Knowledge-Enhanced Large Language Model.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models LawGPT: A Chinese Legal Knowledge-Enhanced Large Language Model
Reference 67
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T19:12:42.491987Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f376c9e4-8f4f-4417-a8a5-53b2e1f0916c · outbound
This paper cites Universal and Transferable Adversarial Attacks on Aligned Language Models.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Universal and Transferable Adversarial Attacks on Aligned Language Models
Reference 68
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T19:12:42.497744Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ce388916-80bb-4440-978f-6bd0502e6bf3 · outbound
This paper cites an unresolved cited work.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Unresolved cited work
Reference 70
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T19:12:43.809792Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1b78b325-1be6-4b46-a4f5-fac3b8af947b · outbound
This paper cites an unresolved cited work.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Unresolved cited work
Reference 2019
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T19:12:42.305797Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ebaa5664-7f95-4049-b9da-8b474f07571c · outbound
This paper cites In Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, Online Event, August 1-6, 2021 (Findings of ACL, Vol.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models In Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, Online Event, August 1-6, 2021 (Findings of ACL, Vol
Reference 2021
- Resolution
- verified exact
- doi, observed 2026-08-08T19:12:42.931425Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 59151370-ef92-4cfd-89b6-84aba67268d9 · outbound
This paper cites A Survey of Large Language Models in Medicine: Progress, Application, and Challenge.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models A Survey of Large Language Models in Medicine: Progress, Application, and Challenge
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T19:12:42.487219Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0bf9b43f-3e0b-4be4-9ae9-129f73aaf559 · outbound
This paper cites Biomedical Large Languages Models Seem not to be Superior to Generalist Models on Unseen Medical Data.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Biomedical Large Languages Models Seem not to be Superior to Generalist Models on Unseen Medical Data
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T19:12:42.229368Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0c7bc983-e371-49da-801b-9a1ccdc15637 · outbound
This paper cites an unresolved cited work.
OntoTune: Ontology-Driven Self-training for Aligning Large Language Models Unresolved cited work
Reference 3466
- Resolution
- verified exact
- arxiv_id_nonexistent, observed 2026-08-08T19:12:43.587322Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Pith citing papers
No inbound Pith citation observations are available.