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Paper Citation Record · LEDGER

Feature Decomposition for Reducing Negative Transfer: A Novel Multi-task Learning Method for Recommender System

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2302.05031.

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

pith.paper-citation-record.v1
2302.05031 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:34:05.534544Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T00:57:30.107990Z

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 2599ca78-f547-4267-a051-fea5bc2eb607 · inbound

Measuring Fine-Grained Relatedness in Multitask Learning via Data Attribution cites this paper.

Measuring Fine-Grained Relatedness in Multitask Learning via Data Attribution Feature Decomposition for Reducing Negative Transfer: A Novel Multi-task Learning Method for Recommender System

Reference 2010

Resolution
unresolved
no resolver link, observed 2026-08-07T13:34:05.534544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:34:05.534544Z digest=sha256:840b441eb8988f3447ae6e9dd0f536467f386d52c4a6f1c6ff5f3d887241bde6

Observation 19c505b4-1bea-404f-a6d1-aaaa24ffb381 · inbound

DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction cites this paper.

DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction Feature Decomposition for Reducing Negative Transfer: A Novel Multi-task Learning Method for Recommender System

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-07-03T00:57:30.109709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T16:56:12.040446Z digest=sha256:e0b110235884440f30da7e5f97fa1f2e374080d1e073daa79b61556eaf8fe794