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Paper Citation Record · LEDGER

Enhancing In-Hospital Mortality Prediction Using Multi-Representational Learning with LLM-Generated Expert Summaries

As of 12 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 2 inbound Pith citation observations for arXiv:2411.16818.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2411.16818 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:02:13.287540Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T16:08:01.686119Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-10T06:26:27.424340Z

Reference resolution

17 of 17 outbound references displayed

  • verified exact0
  • verified fuzzy9
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ac00a4b3-6180-43f1-a123-055ad62b4e8f · outbound

This paper cites Publicly Available Clinical BERT Embeddings.

Enhancing In-Hospital Mortality Prediction Using Multi-Representational Learning with LLM-Generated Expert Summaries Publicly Available Clinical BERT Embeddings

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-12T13:02:13.241400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:02:13.241400Z digest=sha256:9cd47460d26753199508dabdd5b424390fb35f23334b018f28356e0f13c8e75d

Observation cbd3562c-869d-4bcd-8b92-f699a9615bd2 · outbound

This paper cites Clinical decision support for early recognition of sepsis.

Enhancing In-Hospital Mortality Prediction Using Multi-Representational Learning with LLM-Generated Expert Summaries Clinical decision support for early recognition of sepsis

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:02:13.416611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:02:13.245623Z digest=sha256:c03ed6fb3256d47788a854e97bc2b82ef58a6f955507e59cdeab9e3e44dcf723

Observation 411cb693-8758-48c1-83d0-e6f0a0d5ad3c · outbound

This paper cites Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S.

Enhancing In-Hospital Mortality Prediction Using Multi-Representational Learning with LLM-Generated Expert Summaries Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:02:13.409314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:02:13.248619Z digest=sha256:d960d2f511e922a90b3ee3f170d9638fe9116162993f8653edc00f7ab04a9bc9

Observation 309fac2d-dc52-4a13-9771-bbeba541459b · outbound

This paper cites an unresolved cited work.

Enhancing In-Hospital Mortality Prediction Using Multi-Representational Learning with LLM-Generated Expert Summaries Unresolved cited work

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-12T13:02:13.251248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:02:13.251248Z digest=sha256:a46128f0ec1377a3a652c390163910537fd6b026577aa7e04f4b8d0544f5b993

Observation f87db158-4e17-4305-b87d-96d2cd6121ad · outbound

This paper cites an unresolved cited work.

Enhancing In-Hospital Mortality Prediction Using Multi-Representational Learning with LLM-Generated Expert Summaries Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-12T13:02:13.398637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:02:13.254556Z digest=sha256:b6e937815ac86a1a2c43e1ea16ad8369d3aee5512802453caa8878e8c25b480f

Observation 05591ea8-4139-45b2-9d0a-26f1b542c979 · outbound

This paper cites Med42 -- Evaluating Fine-Tuning Strategies for Medical LLMs: Full-Parameter vs. Parameter-Efficient Approaches.

Enhancing In-Hospital Mortality Prediction Using Multi-Representational Learning with LLM-Generated Expert Summaries Med42 -- Evaluating Fine-Tuning Strategies for Medical LLMs: Full-Parameter vs. Parameter-Efficient Approaches

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-12T13:02:13.257566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:02:13.257566Z digest=sha256:869fd54878d82ec3109f4cb5509f4f828033e8b6f6eddde193721d95507b932a

Observation 3421624c-7c1c-4c09-83fa-d2f1bfcbb883 · outbound

This paper cites The relationship between precision-recall and roc curves.

Enhancing In-Hospital Mortality Prediction Using Multi-Representational Learning with LLM-Generated Expert Summaries The relationship between precision-recall and roc curves

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:02:13.390382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:02:13.260562Z digest=sha256:1ea2a4d8107c1f40456795bd7bb106698aa3a6a130e534760961dba2688c7d34

Observation 0ec90900-d262-4740-89ad-8f0d227b0cdb · outbound

This paper cites A multivariate timeseries modeling approach to severity of illness assessment and forecasting in icu with sparse, heterogeneous clinical data.

Enhancing In-Hospital Mortality Prediction Using Multi-Representational Learning with LLM-Generated Expert Summaries A multivariate timeseries modeling approach to severity of illness assessment and forecasting in icu with sparse, heterogeneous clinical data

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:02:13.383019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:02:13.262898Z digest=sha256:f63b81d048663218ce10c1d52ce6218bff263d54f5e2b6f805b9fe722fc4c69d

Observation eed79421-ec06-48c3-9f75-909dce26bf0b · outbound

This paper cites Icda: a platform for intelligent care delivery analytics.

Enhancing In-Hospital Mortality Prediction Using Multi-Representational Learning with LLM-Generated Expert Summaries Icda: a platform for intelligent care delivery analytics

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:02:13.375446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:02:13.265306Z digest=sha256:b7cc3733dc26eee928cda2c28ce6564b293d636a6965cded0d1be685d0bee0af

Observation 9cbce1f1-29e0-4509-93e5-c8a052de6b80 · outbound

This paper cites Multitask learning and benchmarking with clinical time series data.

Enhancing In-Hospital Mortality Prediction Using Multi-Representational Learning with LLM-Generated Expert Summaries Multitask learning and benchmarking with clinical time series data

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-12T13:02:13.267921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:02:13.267921Z digest=sha256:cb225cf81d37f9eff1ab62ad1764e8ec53c401f72431d6f1b4fb8f55b48b3835

Observation add61cf3-4f17-4271-86a9-f22138f29155 · outbound

This paper cites Long short-term memory.

Enhancing In-Hospital Mortality Prediction Using Multi-Representational Learning with LLM-Generated Expert Summaries Long short-term memory

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-12T13:02:13.270731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:02:13.270731Z digest=sha256:abddfdd5ec2246d21d7437805bcf086f9b722dc4c439975f476f0b4827247acc

Observation 6d52e187-4869-48ee-a086-356fc37f11d4 · outbound

This paper cites Mimic-iii, a freely accessible critical care database.

Enhancing In-Hospital Mortality Prediction Using Multi-Representational Learning with LLM-Generated Expert Summaries Mimic-iii, a freely accessible critical care database

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:02:13.361165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:02:13.273342Z digest=sha256:44e1317d5072c71060044aa8265fa8b5f711f0a21ac4b197462ae33d45b7a318

Observation 02df0506-e8a2-44d4-af0f-d639c9401d6a · outbound

This paper cites Biobert: a pre-trained biomedical language representation model for biomedical text mining.

Enhancing In-Hospital Mortality Prediction Using Multi-Representational Learning with LLM-Generated Expert Summaries Biobert: a pre-trained biomedical language representation model for biomedical text mining

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-12T13:02:13.276044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:02:13.276044Z digest=sha256:637bb928befdd261292e0ca11f5dd92ff8621c404f40079638787d8e7d5f29b2

Observation a4d07521-fc07-4a17-a29d-6874a3f061d2 · outbound

This paper cites Attend and diagnose: Clinical time series analysis using attention models.

Enhancing In-Hospital Mortality Prediction Using Multi-Representational Learning with LLM-Generated Expert Summaries Attend and diagnose: Clinical time series analysis using attention models

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:02:13.350208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:02:13.278874Z digest=sha256:8041852dfd2790f354897efb7e61a06475f1218e47837bc2abe64eb7b1263eec

Observation 88ca8652-c034-4c94-b371-89728ad1f106 · outbound

This paper cites Learning tasks for multitask learning: Het- erogenous patient populations in the icu.

Enhancing In-Hospital Mortality Prediction Using Multi-Representational Learning with LLM-Generated Expert Summaries Learning tasks for multitask learning: Het- erogenous patient populations in the icu

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:02:13.340999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:02:13.281291Z digest=sha256:d8ab2cacaf6e05103a785ed3dd1800689662c72002bb4ed44b8c489d06e796aa

Observation 12125da4-5e73-4138-833e-2a722157ac1d · outbound

This paper cites Gpt responsible use.

Enhancing In-Hospital Mortality Prediction Using Multi-Representational Learning with LLM-Generated Expert Summaries Gpt responsible use

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:02:13.329329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:02:13.284592Z digest=sha256:66ac470df8f37af6ef3ce8bf55f18b37e88ec6cc1e2e27210cd466936e5cc3b9

Observation c5fcc021-59a4-46dd-812b-2805211bf2ed · outbound

This paper cites an unresolved cited work.

Enhancing In-Hospital Mortality Prediction Using Multi-Representational Learning with LLM-Generated Expert Summaries Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-12T13:02:13.322024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:02:13.287540Z digest=sha256:6be853d456b8ba96e5d3c5d7d891f38e25731f7fc890dab9c1ed43923060b037

Pith citing papers

Observation 83d05e43-119b-484b-a0ba-efcf43ec3357 · inbound

OC-Distill: Ontology-aware Contrastive Learning with Cross-Modal Distillation for ICU Risk Prediction cites this paper.

OC-Distill: Ontology-aware Contrastive Learning with Cross-Modal Distillation for ICU Risk Prediction Enhancing In-Hospital Mortality Prediction Using Multi-Representational Learning with LLM-Generated Expert Summaries

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:26:27.425905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T06:23:57.350038Z digest=sha256:67fae52ad2f34a5da87c2e078ae9432aec83d1f28474e92c86d58c3abca941b0

Observation 114d5ca9-1f0d-4b64-ab47-a72cb0118b00 · inbound

OC-Distill: Ontology-aware Contrastive Learning with Cross-Modal Distillation for ICU Risk Prediction cites this paper.

OC-Distill: Ontology-aware Contrastive Learning with Cross-Modal Distillation for ICU Risk Prediction Enhancing In-Hospital Mortality Prediction Using Multi-Representational Learning with LLM-Generated Expert Summaries

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-02T16:08:01.686119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T16:08:01.686119Z digest=sha256:746f5209c184b652ac74dc56c7233658db79d1828d1127aa3f484da13076fd3a