Paper Citation Record · LEDGER

RelCAT: Advancing Extraction of Clinical Inter-Entity Relationships from Unstructured Electronic Health Records

As of 19 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2501.16077.

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

pith.paper-citation-record.v1
2501.16077 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T13:48:28.943831Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

22 of 22 outbound references displayed

verified exact0
verified fuzzy15
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7be86ff7-7b24-4f62-9ac4-41fd2e4372d4 · outbound

This paper cites Snomed international.

RelCAT: Advancing Extraction of Clinical Inter-Entity Relationships from Unstructured Electronic Health Records Snomed international

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:48:30.931674Z

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 5c0ab06c-05cd-457b-ba69-e66d84f6dac2 · outbound

This paper cites Cogstack-experiences of deploying integrated information retrieval and extraction services in a large national health service foundation trust hospital,.

RelCAT: Advancing Extraction of Clinical Inter-Entity Relationships from Unstructured Electronic Health Records Cogstack-experiences of deploying integrated information retrieval and extraction services in a large national health service foundation trust hospital,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:48:30.827175Z

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 ea7f2935-092b-4a67-ab0b-d135da646a97 · outbound

This paper cites Multi-domain clinical natural language processing with medcat: the medical concept annotation toolkit,.

RelCAT: Advancing Extraction of Clinical Inter-Entity Relationships from Unstructured Electronic Health Records Multi-domain clinical natural language processing with medcat: the medical concept annotation toolkit,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:48:30.675370Z

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 71649d2d-6d70-490b-829d-85cc6e1dcca8 · outbound

This paper cites Named entity recognition and relation detection for biomedical information extraction,.

RelCAT: Advancing Extraction of Clinical Inter-Entity Relationships from Unstructured Electronic Health Records Named entity recognition and relation detection for biomedical information extraction,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:48:30.588959Z

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 918fb8a2-27f4-41a9-a222-c63d46e717ca · outbound

This paper cites Understanding spatial language in radiology: Representation framework, annotation, and spatial relation extraction from chest x-ray reports using deep learning,.

RelCAT: Advancing Extraction of Clinical Inter-Entity Relationships from Unstructured Electronic Health Records Understanding spatial language in radiology: Representation framework, annotation, and spatial relation extraction from chest x-ray reports using deep learning,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:48:30.550481Z

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 76a8b55d-9277-449e-9a3c-53d0c7f50ade · outbound

This paper cites The unified medical language system (umls): integrating biomedical terminology.,.

RelCAT: Advancing Extraction of Clinical Inter-Entity Relationships from Unstructured Electronic Health Records The unified medical language system (umls): integrating biomedical terminology.,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:48:30.528407Z

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 6d02ec84-3485-45cf-84c2-a1c477870b32 · outbound

This paper cites BERT: Pre-training of deep bidirectional transformers for language understanding,.

RelCAT: Advancing Extraction of Clinical Inter-Entity Relationships from Unstructured Electronic Health Records BERT: Pre-training of deep bidirectional transformers for language understanding,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:48:30.502005Z

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 47edaaf9-2a76-4a8d-9478-c4b12c814703 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

RelCAT: Advancing Extraction of Clinical Inter-Entity Relationships from Unstructured Electronic Health Records LLaMA: Open and Efficient Foundation Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T13:48:28.142167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 321a3cf4-56db-4f1a-a1bf-32a6159b624b · outbound

This paper cites Attention is all you need,.

RelCAT: Advancing Extraction of Clinical Inter-Entity Relationships from Unstructured Electronic Health Records Attention is all you need,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T13:48:28.266519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc2f4ad2-0e46-457e-b772-642f3f8320a2 · outbound

This paper cites Addressing the class imbalance problem in medical datasets,.

RelCAT: Advancing Extraction of Clinical Inter-Entity Relationships from Unstructured Electronic Health Records Addressing the class imbalance problem in medical datasets,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:48:30.364511Z

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 e842a687-b90a-4f9a-9b88-fde627daa3a2 · outbound

This paper cites What is the effect of importance weighting in deep learning?,.

RelCAT: Advancing Extraction of Clinical Inter-Entity Relationships from Unstructured Electronic Health Records What is the effect of importance weighting in deep learning?,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:48:30.306362Z

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 a0371364-73b8-412a-98c5-d19828da351f · outbound

This paper cites Imbalanced learning: foundations, algorithms, and applications,.

RelCAT: Advancing Extraction of Clinical Inter-Entity Relationships from Unstructured Electronic Health Records Imbalanced learning: foundations, algorithms, and applications,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:48:30.218755Z

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 a7fe8caa-c4fe-45b5-97db-179c93135d07 · outbound

This paper cites Linear and stratified sampling-based deep learning models for improving the river streamflow forecasting to mitigate flooding disaster,.

RelCAT: Advancing Extraction of Clinical Inter-Entity Relationships from Unstructured Electronic Health Records Linear and stratified sampling-based deep learning models for improving the river streamflow forecasting to mitigate flooding disaster,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:48:30.016361Z

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 406d0f75-1cc9-423d-8125-6b124ba4b5b8 · outbound

This paper cites MEGA VERSE: Benchmarking large language models across languages, modalities, models and tasks,.

RelCAT: Advancing Extraction of Clinical Inter-Entity Relationships from Unstructured Electronic Health Records MEGA VERSE: Benchmarking large language models across languages, modalities, models and tasks,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:48:29.873249Z

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 3f1f3e9e-9679-4e7b-959a-edac64a42242 · outbound

This paper cites Mistral 7B.

RelCAT: Advancing Extraction of Clinical Inter-Entity Relationships from Unstructured Electronic Health Records Mistral 7B

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T13:48:28.625462Z

Source-reported events for the cited work

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Observation 2135f2f9-9cd7-4068-80a2-ae006dab0748 · outbound

This paper cites Language models are unsupervised multitask learners,.

RelCAT: Advancing Extraction of Clinical Inter-Entity Relationships from Unstructured Electronic Health Records Language models are unsupervised multitask learners,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T13:48:28.672708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af3cb239-9b38-497a-8599-f9050795dfa3 · outbound

This paper cites Generalizing from a few examples: A survey on few-shot learning,.

RelCAT: Advancing Extraction of Clinical Inter-Entity Relationships from Unstructured Electronic Health Records Generalizing from a few examples: A survey on few-shot learning,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T13:48:28.714872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fdb28ed-6289-453f-9afc-da8b58a5d417 · outbound

This paper cites Making pre-trained language models better few-shot learners,.

RelCAT: Advancing Extraction of Clinical Inter-Entity Relationships from Unstructured Electronic Health Records Making pre-trained language models better few-shot learners,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:48:29.675214Z

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 e69db72b-c4f7-43d4-a19b-7322dd753b97 · outbound

This paper cites 2018 n2c2 shared task on adverse drug events and medication extraction in electronic health records,.

RelCAT: Advancing Extraction of Clinical Inter-Entity Relationships from Unstructured Electronic Health Records 2018 n2c2 shared task on adverse drug events and medication extraction in electronic health records,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:48:29.545365Z

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 b4ef22c0-fd27-4c1f-82a9-9409d4c4b9d1 · outbound

This paper cites 2018 n2c2 shared task on adverse drug events and medication extraction in electronic health records,.

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:48:29.473585Z

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 ee44a08b-ee4a-41a8-9660-7f6c9d8a0ad1 · outbound

This paper cites Clinical Relation Extraction Using Transformer-based Models.

RelCAT: Advancing Extraction of Clinical Inter-Entity Relationships from Unstructured Electronic Health Records Clinical Relation Extraction Using Transformer-based Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T13:48:28.906353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed35551e-343d-452e-9e6c-f34265ff6843 · outbound

This paper cites BERTnesia: Investigating the capture and forgetting of knowledge in BERT.

RelCAT: Advancing Extraction of Clinical Inter-Entity Relationships from Unstructured Electronic Health Records BERTnesia: Investigating the capture and forgetting of knowledge in BERT

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T13:48:28.943831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.