Paper Citation Record · LEDGER

Zero-Shot Forecasting Mortality Rates: A Global Study

As of 19 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2505.13521.

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

pith.paper-citation-record.v1
2505.13521 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:46:44.366638Z

measured 37 of 37 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.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

37 of 37 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3b50c38a-ece1-4034-a5a4-158c47587619 · outbound

This paper cites Chronos: Learning the Language of Time Series.

Zero-Shot Forecasting Mortality Rates: A Global Study Chronos: Learning the Language of Time Series

Reference 1

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Source-reported events for the cited work

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Observation e3da57cf-978c-4ecb-b027-a6e9bd8044aa · outbound

This paper cites Forecasting Hungarian mortality rates using the Lee-Carter method.

Zero-Shot Forecasting Mortality Rates: A Global Study Forecasting Hungarian mortality rates using the Lee-Carter method

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:46:44.920117Z

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Observation 7d929d0c-a41a-4cbb-89ad-29ff255484a8 · outbound

This paper cites Age-time interactions in mortality projection: Applying Lee-Carter to Australia.

Zero-Shot Forecasting Mortality Rates: A Global Study Age-time interactions in mortality projection: Applying Lee-Carter to Australia

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:46:44.905319Z

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Observation 89a3772c-60cc-447c-88b8-70ccc80f408a · outbound

This paper cites Time series analysis: forecasting and control.

Zero-Shot Forecasting Mortality Rates: A Global Study Time series analysis: forecasting and control

Reference 4

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Observation 41c7d5ea-7aee-4177-86f3-63044a13768b · outbound

This paper cites Random forests.

Zero-Shot Forecasting Mortality Rates: A Global Study Random forests

Reference 5

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Observation 0d1fd25e-0293-4de0-948c-7b7df0605ae7 · outbound

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Zero-Shot Forecasting Mortality Rates: A Global Study Unresolved cited work

Reference 6

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Source-reported events for the cited work

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Observation ab9c7111-d888-4f10-a690-bf9cfaff8f25 · outbound

This paper cites Quantile mortality modelling of multiple populations via neural networks.

Zero-Shot Forecasting Mortality Rates: A Global Study Quantile mortality modelling of multiple populations via neural networks

Reference 7

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Observation ad8c5ff8-a86c-4c93-a53f-3a307a9c467e · outbound

This paper cites A decoder-only foundation model for time-series forecasting.

Zero-Shot Forecasting Mortality Rates: A Global Study A decoder-only foundation model for time-series forecasting

Reference 8

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Observation 27c9178a-516f-42e8-accb-4eff2d441f10 · outbound

This paper cites Human Mortality Database.

Zero-Shot Forecasting Mortality Rates: A Global Study Human Mortality Database

Reference 9

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Observation 44e0144d-59ae-4b08-bf4e-afb9cd8ff87b · outbound

This paper cites Forecastpfn: Synthetically-trained zero-shot forecasting.

Zero-Shot Forecasting Mortality Rates: A Global Study Forecastpfn: Synthetically-trained zero-shot forecasting

Reference 10

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Observation 048ab425-1422-456d-b747-8be202518b50 · outbound

This paper cites TimeGPT-1.

Zero-Shot Forecasting Mortality Rates: A Global Study TimeGPT-1

Reference 11

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Source-reported events for the cited work

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Observation dfb384ac-49e6-4f5b-8d70-b6415d5900b3 · outbound

This paper cites Large language models are zero-shot time series forecasters.

Zero-Shot Forecasting Mortality Rates: A Global Study Large language models are zero-shot time series forecasters

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:46:44.809629Z

Source-reported events for the cited work

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Observation 249daff9-cdf3-448e-9f1b-31f521cacddc · outbound

This paper cites A neural-network analyzer for mortality forecast.

Zero-Shot Forecasting Mortality Rates: A Global Study A neural-network analyzer for mortality forecast

Reference 13

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Source-reported events for the cited work

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Observation 1847f1d6-1e35-4273-8477-ed24c0edfc0d · outbound

This paper cites Long Short-term Memory.

Zero-Shot Forecasting Mortality Rates: A Global Study Long Short-term Memory

Reference 14

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Observation 5c079f9f-6fcc-4502-bc2a-3697f0a2899a · outbound

This paper cites Forecasting: principles and practice.

Zero-Shot Forecasting Mortality Rates: A Global Study Forecasting: principles and practice

Reference 15

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Observation f1462fa7-1434-4019-82e0-53f5e0f59f78 · outbound

This paper cites Automatic time series forecasting: the forecast package for R.

Zero-Shot Forecasting Mortality Rates: A Global Study Automatic time series forecasting: the forecast package for R

Reference 16

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Source-reported events for the cited work

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Observation 3022be72-2c7e-4ef2-a726-9c7f6a5086ef · outbound

This paper cites Modeling and forecasting US mortality.

Zero-Shot Forecasting Mortality Rates: A Global Study Modeling and forecasting US mortality

Reference 17

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Source-reported events for the cited work

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Observation b91322e2-c0ba-446b-becf-565622f76945 · outbound

This paper cites Application of machine learning to mortality modeling and forecasting.

Zero-Shot Forecasting Mortality Rates: A Global Study Application of machine learning to mortality modeling and forecasting

Reference 18

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Source-reported events for the cited work

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Observation 87a613de-54eb-4e37-9440-611affa88a78 · outbound

This paper cites Temporal fusion transformers for interpretable multi-horizon time series fore- casting.

Zero-Shot Forecasting Mortality Rates: A Global Study Temporal fusion transformers for interpretable multi-horizon time series fore- casting

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:46:44.702309Z

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 6f714c9f-b463-4f62-a36f-de5a19996b4a · outbound

This paper cites Mortality Forecasting Using Temporal Fusion Transformers.

Zero-Shot Forecasting Mortality Rates: A Global Study Mortality Forecasting Using Temporal Fusion Transformers

Reference 20

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Source-reported events for the cited work

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Observation 4e8d7c33-d540-4078-810b-be85c931d5df · outbound

This paper cites A Time Series is Worth 64 Words: Long-term Forecasting with Transformers.

Zero-Shot Forecasting Mortality Rates: A Global Study A Time Series is Worth 64 Words: Long-term Forecasting with Transformers

Reference 21

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Observation 0b6288c3-bfe4-40f6-bb49-786ad8727d80 · outbound

This paper cites A deep learning integrated Lee–Carter model.

Zero-Shot Forecasting Mortality Rates: A Global Study A deep learning integrated Lee–Carter model

Reference 22

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Observation c1cce040-869a-4db4-a682-72dc12017b78 · outbound

This paper cites Scikit-learn: Machine Learning in Python.

Zero-Shot Forecasting Mortality Rates: A Global Study Scikit-learn: Machine Learning in Python

Reference 23

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Observation f333e523-58ea-4eb7-a055-98db4392f5ab · outbound

This paper cites Mortality rate forecasting: can recurrent neural networks beat the Lee-Carter model?.

Zero-Shot Forecasting Mortality Rates: A Global Study Mortality rate forecasting: can recurrent neural networks beat the Lee-Carter model?

Reference 24

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Source-reported events for the cited work

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Observation 35ff1e48-6738-45f2-a1ca-7c30a3c91883 · outbound

This paper cites Improving language understanding by generative pre-training.

Zero-Shot Forecasting Mortality Rates: A Global Study Improving language understanding by generative pre-training

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:46:44.647599Z

Source-reported events for the cited work

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Observation bcfe1fc2-eaf4-4a56-9dd9-4eb96213d90b · outbound

This paper cites Language models are unsupervised multitask learners.

Zero-Shot Forecasting Mortality Rates: A Global Study Language models are unsupervised multitask learners

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:46:44.632181Z

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 570326b2-ebfe-4d81-a55a-b23d5b72d020 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.

Zero-Shot Forecasting Mortality Rates: A Global Study Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:46:44.618308Z

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 1a01cfeb-2537-4bdb-9145-78e373067944 · outbound

This paper cites Lag-llama: Towards foundation models for time series forecasting.

Zero-Shot Forecasting Mortality Rates: A Global Study Lag-llama: Towards foundation models for time series forecasting

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:46:44.604768Z

Source-reported events for the cited work

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Observation 03b7e523-feaf-431e-9d97-36b8c10e225b · outbound

This paper cites A neural network extension of the Lee–Carter model to multiple populations.

Zero-Shot Forecasting Mortality Rates: A Global Study A neural network extension of the Lee–Carter model to multiple populations

Reference 29

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Source-reported events for the cited work

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Observation 4e5204ec-4274-4885-99e3-4f0aec0b9680 · outbound

This paper cites Transformer self-attention network for forecasting mortality rates.

Zero-Shot Forecasting Mortality Rates: A Global Study Transformer self-attention network for forecasting mortality rates

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:46:44.579269Z

Source-reported events for the cited work

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Observation 26c8e35c-8309-4758-bcfd-66cdd5024fd8 · outbound

This paper cites Point and interval forecasts of death rates using neural networks.

Zero-Shot Forecasting Mortality Rates: A Global Study Point and interval forecasts of death rates using neural networks

Reference 31

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Source-reported events for the cited work

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Observation 67dc7f7a-1a59-4a55-abd2-5295a6420e65 · outbound

This paper cites Calibrating the lee-carter and the poisson lee-carter models via neural networks.

Zero-Shot Forecasting Mortality Rates: A Global Study Calibrating the lee-carter and the poisson lee-carter models via neural networks

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:46:44.552149Z

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 2587456c-cb80-4594-880d-05a35371f970 · outbound

This paper cites statsmodels: Econometric and statistical modeling with python.

Zero-Shot Forecasting Mortality Rates: A Global Study statsmodels: Econometric and statistical modeling with python

Reference 33

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This paper cites Smith et al.

Zero-Shot Forecasting Mortality Rates: A Global Study Smith et al

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:46:44.528512Z

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 7109131e-f65d-42a2-9ad3-c3e6516396b4 · outbound

This paper cites Attention is all you need.

Zero-Shot Forecasting Mortality Rates: A Global Study Attention is all you need

Reference 35

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Observation 05166e06-24ea-4eef-89d0-56fc1d8aeee9 · outbound

This paper cites Time-series forecasting of mortality rates using transformer.

Zero-Shot Forecasting Mortality Rates: A Global Study Time-series forecasting of mortality rates using transformer

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:46:44.504212Z

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 5767c1b3-7d5f-46a5-99fd-cb808a9b26bd · outbound

This paper cites Unified Training of Universal Time Series Forecasting Transformers.

Zero-Shot Forecasting Mortality Rates: A Global Study Unified Training of Universal Time Series Forecasting Transformers

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T20:46:44.366638Z

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Pith citing papers

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