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Paper Citation Record · LEDGER

Multitask learning and benchmarking with clinical time series data

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1703.07771.

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

pith.paper-citation-record.v1
1703.07771 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:30:25.782784Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T21:49:59.310420Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 4719deea-b73b-4f6d-8802-d03a3f88e745 · inbound

Modeling the Uncertainty in Electronic Health Records: a Bayesian Deep Learning Approach cites this paper.

Modeling the Uncertainty in Electronic Health Records: a Bayesian Deep Learning Approach Multitask learning and benchmarking with clinical time series data

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-24T21:49:59.314017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-24T21:49:55.588040Z digest=sha256:72652f1092b49a097dfa0055fb8e007d4288094cfaa81441ab8dde677be81195

Observation 8927c335-3f7a-4805-ac20-edcf9b9f5d24 · inbound

Interpretable and Steerable Sequence Learning via Prototypes cites this paper.

Interpretable and Steerable Sequence Learning via Prototypes Multitask learning and benchmarking with clinical time series data

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-24T17:56:17.253013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-24T17:55:51.727573Z digest=sha256:e891be0f3f5932bae4713c6915fd3e25ed6910778588daad132e0be386f1c8e0

Observation 7ef73a24-cb05-4061-a70b-f2c6c1070950 · inbound

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers cites this paper.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers Multitask learning and benchmarking with clinical time series data

Reference 42

Resolution
malformed identifier
no resolver link, observed 2026-08-12T16:30:25.782784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:30:25.782784Z digest=sha256:489875ea723d4be9d3a7300cc4450c9bf63057ee10c9bdfa33cb8a9183423058