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Paper Citation Record · LEDGER

Taking Advantage of Sparsity in Multi-Task Learning

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:0903.1468.

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

pith.paper-citation-record.v1
0903.1468 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:43:13.356121Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-02T06:06:40.551371Z

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 15e9ebf7-bebd-433f-b94d-2e4125db6663 · inbound

Quadratic Surface Support Vector Machine with L1 Norm Regularization cites this paper.

Quadratic Surface Support Vector Machine with L1 Norm Regularization Taking Advantage of Sparsity in Multi-Task Learning

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-14T11:43:13.356121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:43:13.356121Z digest=sha256:693ab114ba4cf9acc035f74dfba7eb1b94516ed64a7418e39e314866a0a890b2

Observation a902a534-0872-4ec2-bfb6-b000e000cc67 · inbound

Deep Multitask Learning for Mixed-Type Outcomes with Shared Sparsity cites this paper.

Deep Multitask Learning for Mixed-Type Outcomes with Shared Sparsity Taking Advantage of Sparsity in Multi-Task Learning

Reference 16

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T06:06:40.552743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T06:04:54.352506Z digest=sha256:355ad6a10f304e06e833ffda1450f5bd8d4c267e79b2248de114892bb78d4130