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Paper Citation Record · LEDGER

TAPER: Time-Aware Patient EHR Representation

As of 18 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:1908.03971.

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

pith.paper-citation-record.v1
1908.03971 v4

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:01:41.238449Z

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 exact2
  • verified fuzzy11
  • unresolved18
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d34a5944-2a31-4bbd-ba27-4917a4d1893f · outbound

This paper cites Validation of the mortality prediction model for icu patients.

TAPER: Time-Aware Patient EHR Representation Validation of the mortality prediction model for icu patients

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-14T14:01:43.281372Z

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.

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Observation ada960f2-3881-4961-b4ea-9d9014221c92 · outbound

This paper cites Predicting death and readmission after intensive care discharge,.

TAPER: Time-Aware Patient EHR Representation Predicting death and readmission after intensive care discharge,

Reference 2

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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.

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Observation 874646fc-c559-4983-8c14-93df788a05ce · outbound

This paper cites Representation learning: A review and new perspectives,.

TAPER: Time-Aware Patient EHR Representation Representation learning: A review and new perspectives,

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ea40128f-aed5-4e3b-86c2-47eb58240ec5 · outbound

This paper cites Distributed representations of words and phrases and their compositionality,.

TAPER: Time-Aware Patient EHR Representation Distributed representations of words and phrases and their compositionality,

Reference 4

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raw_fallback, observed 2026-08-14T14:01:43.151616Z

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.

source=pdf_text observed=2026-08-14T14:01:40.767060Z digest=sha256:56f4f701b80f2af10475901019243b3297caafae2fe1fa47fa5ae2b27e53bdd0

Observation c4df3dfe-d216-48a9-a73a-47ecbf887bcd · outbound

This paper cites Medical Concept Embedding with Time-Aware Attention.

TAPER: Time-Aware Patient EHR Representation Medical Concept Embedding with Time-Aware Attention

Reference 6

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verified exact
local_arxiv, observed 2026-08-14T14:01:42.452219Z

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.

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Observation 9a78417e-987e-4be3-a853-a86cff3f30dd · outbound

This paper cites Neural Machine Translation by Jointly Learning to Align and Translate.

TAPER: Time-Aware Patient EHR Representation Neural Machine Translation by Jointly Learning to Align and Translate

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 09792ba7-5e2f-44bd-91a2-2298b1346841 · outbound

This paper cites Effective Approaches to Attention-based Neural Machine Translation.

TAPER: Time-Aware Patient EHR Representation Effective Approaches to Attention-based Neural Machine Translation

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:01:40.822690Z digest=sha256:df316f31117edc5380b0c6f982eb87a65392542b77e9f43e0ae7ea9fad19aae3

Observation 7d46e582-ac1c-4316-8faf-98dcda6d2b49 · outbound

This paper cites Attention is all you need,.

TAPER: Time-Aware Patient EHR Representation Attention is all you need,

Reference 9

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-14T14:01:40.838721Z digest=sha256:17c57f87484473c461a76f62631df168f2faece96cade9b2ae94432378106e4e

Observation e83f9562-59d8-411a-a06d-cdeda01a59b1 · outbound

This paper cites Learning representations by back-propagating errors,.

TAPER: Time-Aware Patient EHR Representation Learning representations by back-propagating errors,

Reference 10

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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.

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Observation 1480f377-e841-478a-b632-e7147cd2e04e · outbound

This paper cites an unresolved cited work.

TAPER: Time-Aware Patient EHR Representation Unresolved cited work

Reference 11

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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.

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Observation b0476379-3ca7-41d1-9a1e-c8ec896d75f1 · outbound

This paper cites A neural proba- bilistic language model,.

TAPER: Time-Aware Patient EHR Representation A neural proba- bilistic language model,

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:01:40.879733Z digest=sha256:f9deff3f11239624b65608767f79913014c464dd093cb0fb9d63c3e50af535b2

Observation 54db43d7-c686-4881-a425-837d34a8695c · outbound

This paper cites Multi-layer representation learning for med- ical concepts,.

TAPER: Time-Aware Patient EHR Representation Multi-layer representation learning for med- ical concepts,

Reference 13

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raw_fallback, observed 2026-08-14T14:01:42.871121Z

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.

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Observation 57ce0bab-1d9c-4e86-b1b4-7b1a4315904d · outbound

This paper cites Deepr: a convolutional net for medical records,.

TAPER: Time-Aware Patient EHR Representation Deepr: a convolutional net for medical records,

Reference 14

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raw_fallback, observed 2026-08-14T14:01:42.811314Z

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.

source=pdf_text observed=2026-08-14T14:01:40.918764Z digest=sha256:a7b5bea7f9ef4cd14ff81442aa36090f6a2570e131dd05d50c803f283d6d357c

Observation acdefc9f-daaf-4ae4-9f3f-482211dbf98d · outbound

This paper cites Gram: Graph-based attention model for healthcare representation learning,.

TAPER: Time-Aware Patient EHR Representation Gram: Graph-based attention model for healthcare representation learning,

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9252389d-6554-4290-a2ab-b7dbd025ffc7 · outbound

This paper cites Patient2vec: A personalized interpretable deep representation of the longitudinal electronic health record,.

TAPER: Time-Aware Patient EHR Representation Patient2vec: A personalized interpretable deep representation of the longitudinal electronic health record,

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:01:40.941250Z digest=sha256:deedb92099975042de8ca82e16300cee44be9184a494623ae9f38712853b733f

Observation a7ff27e5-a7dd-44d8-967f-67a65aab66ec · outbound

This paper cites Mime: Multilevel medical embedding of electronic health records for predictive healthcare,.

TAPER: Time-Aware Patient EHR Representation Mime: Multilevel medical embedding of electronic health records for predictive healthcare,

Reference 17

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raw_fallback, observed 2026-08-14T14:01:42.743697Z

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.

source=pdf_text observed=2026-08-14T14:01:40.951530Z digest=sha256:1e38daace1e025213358888c6a16d7b0cfa2d1100c7047b266f96ceae6a4c9a4

Observation f4b18409-e3a5-4b5a-996c-b6e718d9ffeb · outbound

This paper cites Investigating the challenges of temporal relation extraction from clinical text,.

TAPER: Time-Aware Patient EHR Representation Investigating the challenges of temporal relation extraction from clinical text,

Reference 18

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raw_fallback, observed 2026-08-14T14:01:42.691478Z

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.

source=pdf_text observed=2026-08-14T14:01:40.960182Z digest=sha256:006d3b9cd646cbc9f8fd751dfd30392eb79241cfde72cc2d0aa97c1d30aecfdf

Observation 8ffd6e41-36e8-452f-afd7-3f73ac6ab701 · outbound

This paper cites Learning Patient Representations from Text.

TAPER: Time-Aware Patient EHR Representation Learning Patient Representations from Text

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b9527ac5-9132-4c6b-9c4f-94c89b86f5c0 · outbound

This paper cites Deep EHR: Chronic Disease Prediction Using Medical Notes.

TAPER: Time-Aware Patient EHR Representation Deep EHR: Chronic Disease Prediction Using Medical Notes

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c3a806d8-47fb-4a1e-95a7-5bcb86202d15 · outbound

This paper cites ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission.

TAPER: Time-Aware Patient EHR Representation ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 22

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Source-reported events for the cited work

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Observation 48932921-c8f6-4402-80f4-48a8bf5ad476 · outbound

This paper cites Ehr phenotyping via jointly embedding medical concepts and words into a unified vector space,.

TAPER: Time-Aware Patient EHR Representation Ehr phenotyping via jointly embedding medical concepts and words into a unified vector space,

Reference 23

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raw_fallback, observed 2026-08-14T14:01:42.659160Z

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.

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Observation da132517-7ad0-42c3-a1cb-79ddada1ce8c · outbound

This paper cites Explainable Prediction of Medical Codes from Clinical Text.

TAPER: Time-Aware Patient EHR Representation Explainable Prediction of Medical Codes from Clinical Text

Reference 24

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8d1cf2b2-6566-47dd-838d-6c6094769a48 · outbound

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

TAPER: Time-Aware Patient EHR Representation BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 25

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 55ea53ab-c9ba-4ca7-b666-302da515c0d4 · outbound

This paper cites Extract- ing and composing robust features with denoising autoencoders,.

TAPER: Time-Aware Patient EHR Representation Extract- ing and composing robust features with denoising autoencoders,

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:01:41.119974Z digest=sha256:e466805df9f967fbeae0b6a35f3310e6822136a9e199af494d30c39b2aa48399

Observation 61771e81-2c0b-47ab-8e8e-3ee9127ab9e6 · outbound

This paper cites Dynamic Feature Acquisition Using Denoising Autoencoders.

TAPER: Time-Aware Patient EHR Representation Dynamic Feature Acquisition Using Denoising Autoencoders

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-08-14T14:01:41.590193Z

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.

source=pdf_text observed=2026-08-14T14:01:41.137535Z digest=sha256:15352ae9e77b331c72f7b1bfa466ae0bb5416651d4abdd1488eea4a677f21f42

Observation b5d89a94-d287-4bc5-97ef-2e1a5eaf0754 · outbound

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

TAPER: Time-Aware Patient EHR Representation BioBERT: a pre-trained biomedical language representation model for biomedical text mining

Reference 28

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no resolver link, observed 2026-08-14T14:01:41.179160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:01:41.179160Z digest=sha256:c82b6fb78ff80ae4aabfd41d5ce4a4ea4f1f5c95519ffd9e11c9459dc22e79c6

Observation 6c50a06e-832e-47f0-b3ad-f83c6e053fd5 · outbound

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

TAPER: Time-Aware Patient EHR Representation Mimic-iii, a freely accessible critical care database,

Reference 29

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raw_fallback, observed 2026-08-14T14:01:42.601606Z

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.

source=pdf_text observed=2026-08-14T14:01:41.189354Z digest=sha256:715226c3f243bdfcd84aa90f2bae4e0481e7061bb306932684ee26b5dd7dc4b9

Observation 1a765a8e-8998-4e84-a592-f12473cb3e58 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

TAPER: Time-Aware Patient EHR Representation Adam: A Method for Stochastic Optimization

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:01:41.207160Z digest=sha256:683c0cee71fcac178247191e55e7bbabf2c152d4a83f1ce40b16fa22f1371a99

Observation 3d3f6a3b-aaca-45c5-8f27-904738d1fd9b · outbound

This paper cites Publicly Available Clinical BERT Embeddings.

TAPER: Time-Aware Patient EHR Representation Publicly Available Clinical BERT Embeddings

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:01:41.219889Z digest=sha256:1b2a22dce705741686d131bdd37e79d748ca2301a596a963ae93b32e17d5d0cf

Observation b176784d-8a8b-4682-96de-f34bc0503fc4 · outbound

This paper cites Professor forcing: A new algorithm for training recurrent networks,.

TAPER: Time-Aware Patient EHR Representation Professor forcing: A new algorithm for training recurrent networks,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:01:42.543297Z

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.

source=pdf_text observed=2026-08-14T14:01:41.227798Z digest=sha256:93e885ca951370d5b34c320b9d8c9479035f00a06d2f14011b8e3fb38f3cd8cd

Observation b599f8dc-4684-4450-a966-e3954ae5b807 · outbound

This paper cites Automatic differentiation in PyTorch,.

TAPER: Time-Aware Patient EHR Representation Automatic differentiation in PyTorch,

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:01:41.238449Z digest=sha256:7bf4d06d29b25b3fbe374e0fd14d3b1e78ce6fcf64cd6a3e6161f38434a47db8

Pith citing papers

No inbound Pith citation observations are available.