Paper Citation Record · LEDGER

How Good is Artificial Intelligence at Automatically Answering Consumer Questions Related to Alzheimer's Disease?

As of 16 August 2026, this Paper Citation Record lists 4 of 4 outbound references and 0 inbound Pith citation observations for arXiv:1908.10678.

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

pith.paper-citation-record.v1
1908.10678 v2

Coverage vector

measured 4 of 4 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:52:17.658165Z

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

4 of 4 outbound references displayed

verified exact0
verified fuzzy3
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 377a436f-9b3c-4785-8ea8-0acb05c57d74 · outbound

This paper cites 2019 Alzheimer's disease facts and figures.

How Good is Artificial Intelligence at Automatically Answering Consumer Questions Related to Alzheimer's Disease? 2019 Alzheimer's disease facts and figures

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:52:17.725988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a24e9bf3-0d76-4d24-b570-b2890ef2e240 · outbound

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

How Good is Artificial Intelligence at Automatically Answering Consumer Questions Related to Alzheimer's Disease? BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:52:17.714549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 77249b00-fe5d-47d4-ab37-e6836f34d8f7 · outbound

This paper cites Language models are unsupervised multitask learners.

How Good is Artificial Intelligence at Automatically Answering Consumer Questions Related to Alzheimer's Disease? Language models are unsupervised multitask learners

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:52:17.702753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ccc49768-0b91-40f3-839d-86620017446f · outbound

This paper cites BERT has a Mouth, and It Must Speak: BERT as a Markov Random Field Language Model.

How Good is Artificial Intelligence at Automatically Answering Consumer Questions Related to Alzheimer's Disease? BERT has a Mouth, and It Must Speak: BERT as a Markov Random Field Language Model

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-14T11:52:17.658165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.