Paper Citation Record · LEDGER

Leveraging Language Models for Automated Patient Record Linkage

As of 18 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2504.15261.

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

pith.paper-citation-record.v1
2504.15261 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:33:24.743393Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

31 of 31 outbound references displayed

verified exact5
verified fuzzy13
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4a0944f0-4f19-41a5-8693-a6434e0a4000 · outbound

This paper cites Big data for health.

Leveraging Language Models for Automated Patient Record Linkage Big data for health

Reference 1

Resolution: verified exact; raw_fallback, observed 2026-08-16T11:33:25.455694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 658ec348-bf1f-45c7-98b5-6af5dd22cc7e · outbound

This paper cites Cancer Statistics | CDC [Internet].

Leveraging Language Models for Automated Patient Record Linkage Cancer Statistics | CDC [Internet]

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:33:26.090151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d3be2bd3-a2ae-4d71-9bbd-987d6bd8d279 · outbound

This paper cites Record linkage: Current practice and future directions.

Leveraging Language Models for Automated Patient Record Linkage Record linkage: Current practice and future directions

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:33:26.078354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0466b0a5-fdb2-42d2-b82d-d1ddd536551c · outbound

This paper cites A Theory for Record Linkage.

Leveraging Language Models for Automated Patient Record Linkage A Theory for Record Linkage

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:33:25.975267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a865efae-1d4d-42e7-abd7-b7f647be8212 · outbound

This paper cites Probabilistic record linkage.

Leveraging Language Models for Automated Patient Record Linkage Probabilistic record linkage

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:33:25.932632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c1d8b1dc-4e5e-43a4-8d89-8a1495c4d702 · outbound

This paper cites Demystifying probabilistic linkage: Common myths and misconceptions.

Leveraging Language Models for Automated Patient Record Linkage Demystifying probabilistic linkage: Common myths and misconceptions

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:33:25.923659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 97754198-e95b-42b3-9d9e-794e7159811d · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Leveraging Language Models for Automated Patient Record Linkage BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:24.280398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e56390b-c0bb-46cf-8353-241ec29f62f7 · outbound

This paper cites Attention is all you need.

Leveraging Language Models for Automated Patient Record Linkage Attention is all you need

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:33:25.804607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f30540a4-92a3-4e1b-97a8-5f432edfe678 · outbound

This paper cites Deep Entity Matching with Pre-Trained Language Models.

Leveraging Language Models for Automated Patient Record Linkage Deep Entity Matching with Pre-Trained Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:24.288833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88bce601-14e2-4534-8198-a499e9135d6b · outbound

This paper cites Fine-tuning Large Language Models for Entity Matching.

Leveraging Language Models for Automated Patient Record Linkage Fine-tuning Large Language Models for Entity Matching

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:24.291986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a367410-e04d-4556-a693-8223fc6c0dc8 · outbound

This paper cites Entity Matching using Large Language Models.

Leveraging Language Models for Automated Patient Record Linkage Entity Matching using Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:24.295514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ae7a68f-e7a6-479b-967c-6250beeff280 · outbound

This paper cites A Comparison of Blocking Methods for Record Linkage.

Leveraging Language Models for Automated Patient Record Linkage A Comparison of Blocking Methods for Record Linkage

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:24.299428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f80de35-4de1-4263-a8aa-20b823067ecf · outbound

This paper cites [cited 2025 Mar 2].

Leveraging Language Models for Automated Patient Record Linkage [cited 2025 Mar 2]

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:33:25.757730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4ac56e5e-b05a-4672-a843-1c4f3a8503e1 · outbound

This paper cites Sudowoodo: Contrastive self-supervised learning for multi-purpose data integration and preparation.

Leveraging Language Models for Automated Patient Record Linkage Sudowoodo: Contrastive self-supervised learning for multi-purpose data integration and preparation

Reference 14

Resolution: verified exact; raw_fallback, observed 2026-08-16T11:33:25.310512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b06d32f7-f52d-4cea-b3cc-5efd57eab076 · outbound

This paper cites Duplicate Detection with GenAI.

Leveraging Language Models for Automated Patient Record Linkage Duplicate Detection with GenAI

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-16T11:33:25.139832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 40bd6015-7d44-4620-ac3a-1a24496098d5 · outbound

This paper cites LinkTransformer: A Unified Package for Record Linkage with Transformer Language Models.

Leveraging Language Models for Automated Patient Record Linkage LinkTransformer: A Unified Package for Record Linkage with Transformer Language Models

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:33:25.747015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 13cb5e38-f318-49b7-a4f7-384391ba146a · outbound

This paper cites Heterogeneous Entity Matching with Complex Attribute Associations using BERT and Neural Networks.

Leveraging Language Models for Automated Patient Record Linkage Heterogeneous Entity Matching with Complex Attribute Associations using BERT and Neural Networks

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-16T11:33:25.039279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 552a3b07-4cf0-42cf-a2b0-eb6552ac057f · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

Leveraging Language Models for Automated Patient Record Linkage Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:24.506252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 737f9c5e-7754-42d3-b6da-c6d01c686ee2 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Leveraging Language Models for Automated Patient Record Linkage RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:24.510938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9f56ea9-5169-410a-a8b5-c72c36a3d4da · outbound

This paper cites Explaining Text Similarity in Transformer Models.

Leveraging Language Models for Automated Patient Record Linkage Explaining Text Similarity in Transformer Models

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-16T11:33:24.901284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b2c3d58a-c341-4484-a132-e807e9345631 · outbound

This paper cites The faiss library.

Leveraging Language Models for Automated Patient Record Linkage The faiss library

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:33:25.736866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cf652b2b-822c-4671-8b63-019abb47caa2 · outbound

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

Leveraging Language Models for Automated Patient Record Linkage LLaMA: Open and Efficient Foundation Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:24.523896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e77b92e1-fbbb-4dd8-b376-39e5eba1def5 · outbound

This paper cites Mistral 7B.

Leveraging Language Models for Automated Patient Record Linkage Mistral 7B

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:24.561719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1034d57-00cb-490a-96e2-e2b6bb1ad2ec · outbound

This paper cites [cited 2025 Mar 2].

Leveraging Language Models for Automated Patient Record Linkage [cited 2025 Mar 2]

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:33:25.726723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2324371c-6f2a-4b1d-8378-54769d03d601 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Leveraging Language Models for Automated Patient Record Linkage LoRA: Low-Rank Adaptation of Large Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:24.719289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36c25d30-2d37-4969-90d7-d50e718005d7 · outbound

This paper cites http://github.com/unslothai/unsloth.

Leveraging Language Models for Automated Patient Record Linkage http://github.com/unslothai/unsloth

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:33:25.669003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 33cd3e9c-3224-4364-9fff-89d50a64d594 · outbound

This paper cites Language models are few-shot learners.

Leveraging Language Models for Automated Patient Record Linkage Language models are few-shot learners

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:33:25.500421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 89b167c8-190b-46d8-ad2e-9fe316e307d2 · outbound

This paper cites Scaling Laws for Neural Language Models.

Leveraging Language Models for Automated Patient Record Linkage Scaling Laws for Neural Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:24.731531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ae600ea-f1a3-4e94-b4d9-b2952ac5b79e · outbound

This paper cites Emergent Abilities of Large Language Models.

Leveraging Language Models for Automated Patient Record Linkage Emergent Abilities of Large Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:24.736067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 969d6321-4016-4252-be03-3a04a013fc64 · outbound

This paper cites Large language models are zero-shot reasoners.

Leveraging Language Models for Automated Patient Record Linkage Large language models are zero-shot reasoners

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:33:25.466825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b8e7db5a-7a28-4ba2-a9f3-d6c353faaf67 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Leveraging Language Models for Automated Patient Record Linkage DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:24.743393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.