Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-30T09:38:19.376684Z
Paper Citation Record · LEDGER
Primary ICD Category Prediction using LLM-based Probing
As of 22 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2606.28798.
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 2026-08-22T06:32:14.747728+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
26 of 26 outbound references displayed
- verified exact4
- verified fuzzy18
- unresolved4
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation e2462e48-1ec7-4832-b4bb-5cad41644824 · outbound
This paper cites Ensemble neural models for icd code prediction using unstructured and structured healthcare data.Heliyon, 10(17), 2024.
Primary ICD Category Prediction using LLM-based Probing Ensemble neural models for icd code prediction using unstructured and structured healthcare data.Heliyon, 10(17), 2024
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T18:36:27.844394Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation f395bd83-5182-4e68-922c-dcaf94a8d3ca · outbound
This paper cites An empirical evaluation of deep learning for icd-9 code assignment using mimic-iii clinical notes.Computer methods and programs in biomedicine, 177:141–153, 2019.
Primary ICD Category Prediction using LLM-based Probing An empirical evaluation of deep learning for icd-9 code assignment using mimic-iii clinical notes.Computer methods and programs in biomedicine, 177:141–153, 2019
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T18:36:27.836140Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation c85e5ed9-d780-42e4-ba17-148e035e9924 · outbound
This paper cites International classification of diseases.WHO [Internet], page 53, 1992.
Primary ICD Category Prediction using LLM-based Probing International classification of diseases.WHO [Internet], page 53, 1992
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T18:36:27.841070Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 602838f7-55c2-4df4-9106-0a7ced3011d7 · outbound
This paper cites Explainable prediction of medical codes from clinical text.
Primary ICD Category Prediction using LLM-based Probing Explainable prediction of medical codes from clinical text
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T18:36:27.842686Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 0b50bfd1-b4c5-4885-b257-1a4af5ed3029 · outbound
This paper cites PLM-ICD: Automatic ICD Coding with Pretrained Language Models.
Primary ICD Category Prediction using LLM-based Probing PLM-ICD: Automatic ICD Coding with Pretrained Language Models
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T09:44:37.753783Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 194cb016-1706-4636-bba5-2f9775abe3fa · outbound
This paper cites A generalist medical language model for disease diagnosis assistance.Nature medicine, 31(3):932–942.
Primary ICD Category Prediction using LLM-based Probing A generalist medical language model for disease diagnosis assistance.Nature medicine, 31(3):932–942
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T18:36:27.834324Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation dbb5f9dd-3ec1-4ec7-afd9-066def6f610c · outbound
This paper cites Clinical risk prediction using language models: benefits and considerations.Journal of the American Medical Informatics Association, 31(9): 1856–1864, 2024.
Primary ICD Category Prediction using LLM-based Probing Clinical risk prediction using language models: benefits and considerations.Journal of the American Medical Informatics Association, 31(9): 1856–1864, 2024
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T18:36:27.837888Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 372944fc-bbeb-420f-a881-7476a341ddff · outbound
This paper cites an unresolved cited work.
Primary ICD Category Prediction using LLM-based Probing Unresolved cited work
Reference 8
- Resolution
- unresolved
- raw_fallback, observed 2026-07-09T18:36:27.839401Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation ad3fc9d9-f11a-4f4f-96d0-69c23c4f5cf5 · outbound
This paper cites Medrep: medical concept representations for general electronic health record foundation models.Journal of the American Medical Informatics Association, page ocag032, 2026.
Primary ICD Category Prediction using LLM-based Probing Medrep: medical concept representations for general electronic health record foundation models.Journal of the American Medical Informatics Association, page ocag032, 2026
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T18:36:27.832448Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation da6432df-2256-48dd-b844-565ff3afad4f · outbound
This paper cites MIMIC-III clinical database.PhysioNet, September 2016.
Primary ICD Category Prediction using LLM-based Probing MIMIC-III clinical database.PhysioNet, September 2016
Reference 10
- Resolution
- verified exact
- doi, observed 2026-06-30T09:44:37.052540Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation b9795eb2-9c68-4c2d-8db1-3aa1f2c05f78 · outbound
This paper cites MIMIC-IV.PhysioNet, October 2024.
Primary ICD Category Prediction using LLM-based Probing MIMIC-IV.PhysioNet, October 2024
Reference 11
- Resolution
- verified exact
- doi, observed 2026-06-30T09:44:37.054124Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 731773c8-91f8-434f-8d68-cb9c0ab53e7c · outbound
This paper cites an unresolved cited work.
Primary ICD Category Prediction using LLM-based Probing Unresolved cited work
Reference 12
- Resolution
- unresolved
- raw_fallback, observed 2026-07-09T18:36:27.830615Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 09aacbf6-50ca-4560-902b-8280ced46fe4 · outbound
This paper cites an unresolved cited work.
Primary ICD Category Prediction using LLM-based Probing Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-07-09T18:36:27.813982Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation a7174ffd-10af-48cc-a878-165c6fde3e1b · outbound
This paper cites Construction and evaluation of a sepsis risk prediction model for urinary tract infection.Frontiers in Medicine, 8:671184, 2021.
Primary ICD Category Prediction using LLM-based Probing Construction and evaluation of a sepsis risk prediction model for urinary tract infection.Frontiers in Medicine, 8:671184, 2021
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T18:36:27.812413Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 8291d80f-31af-4a09-a96c-6ce8520cfa61 · outbound
This paper cites Understanding intermediate layers using linear classifier probes.
Primary ICD Category Prediction using LLM-based Probing Understanding intermediate layers using linear classifier probes
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T09:44:37.751209Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 5fc0b58f-fa7b-4581-89b1-73a6abc80b07 · outbound
This paper cites Designing and interpreting probes with control tasks.
Primary ICD Category Prediction using LLM-based Probing Designing and interpreting probes with control tasks
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T18:36:27.826980Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 7ddf3630-204e-456c-b635-0734d58e8561 · outbound
This paper cites Xgboost: A scalable tree boosting system.
Primary ICD Category Prediction using LLM-based Probing Xgboost: A scalable tree boosting system
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T18:36:27.823682Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation b542a971-0a1f-4e0d-844e-cc9ec8eb9178 · outbound
This paper cites Multimodal machine learning for automated icd coding.
Primary ICD Category Prediction using LLM-based Probing Multimodal machine learning for automated icd coding
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T18:36:27.819447Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 274db62a-15fe-4fc6-89a1-b1577757fd00 · outbound
This paper cites Scalable and accurate deep learning with electronic health records.NPJ digital medicine, 1(1):18.
Primary ICD Category Prediction using LLM-based Probing Scalable and accurate deep learning with electronic health records.NPJ digital medicine, 1(1):18
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T18:36:27.817456Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 881dcc45-cd12-495b-bc3e-d08c30c31870 · outbound
This paper cites Multitask learning and benchmarking with clinical time series data.Scientific data, 6(1):96.
Primary ICD Category Prediction using LLM-based Probing Multitask learning and benchmarking with clinical time series data.Scientific data, 6(1):96
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T18:36:27.807491Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation c698168d-ac5c-4e58-9d5d-38fdda3b0bb7 · outbound
This paper cites Medfuse: Multimodal ehr data fusion with masked lab-test modeling and large language models.
Primary ICD Category Prediction using LLM-based Probing Medfuse: Multimodal ehr data fusion with masked lab-test modeling and large language models
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T18:36:27.805744Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 1f136402-b850-4e55-8bd8-83dac45626fd · outbound
This paper cites A multimodal transformer: Fusing clinical notes with structured ehr data for interpretable in-hospital mortality prediction.
Primary ICD Category Prediction using LLM-based Probing A multimodal transformer: Fusing clinical notes with structured ehr data for interpretable in-hospital mortality prediction
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T18:36:27.809243Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation baf768cc-c9c6-44d6-a504-3e0e05c97b21 · outbound
This paper cites Doctor ai: Predicting clinical events via recurrent neural networks.
Primary ICD Category Prediction using LLM-based Probing Doctor ai: Predicting clinical events via recurrent neural networks
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T18:36:27.815610Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 0566006d-02a0-43b6-8b74-4f1c49f0ac1e · outbound
This paper cites Retain: 8 An interpretable predictive model for healthcare using reverse time attention mechanism.Advances in neural information processing systems, 29, 2016.
Primary ICD Category Prediction using LLM-based Probing Retain: 8 An interpretable predictive model for healthcare using reverse time attention mechanism.Advances in neural information processing systems, 29, 2016
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T18:36:27.829013Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation c794a112-6673-412d-b6bf-27bc5c69cea7 · outbound
This paper cites Data integration of structured and unstructured sources for assigning clinical codes to patient stays.Journal of the American Medical Informatics Association, 23(e1):e11–e19, 2016.
Primary ICD Category Prediction using LLM-based Probing Data integration of structured and unstructured sources for assigning clinical codes to patient stays.Journal of the American Medical Informatics Association, 23(e1):e11–e19, 2016
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T18:36:27.821530Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation b3d03b58-a92d-4c84-a754-2eba6f8b3c49 · outbound
This paper cites an unresolved cited work.
Primary ICD Category Prediction using LLM-based Probing Unresolved cited work
Reference 26
- Resolution
- unresolved
- raw_fallback, observed 2026-07-09T18:36:27.810763Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Pith citing papers
No inbound Pith citation observations are available.