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Paper Citation Record · LEDGER

MULTIPAR: Supervised Irregular Tensor Factorization with Multi-task Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2208.00993.

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

pith.paper-citation-record.v1
2208.00993 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:15:39.548575Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T16:15:47.312433Z

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 48a4f6c9-2ae2-4881-942a-1269b20cec18 · inbound

Toward Temporal Causal Representation Learning with Tensor Decomposition cites this paper.

Toward Temporal Causal Representation Learning with Tensor Decomposition MULTIPAR: Supervised Irregular Tensor Factorization with Multi-task Learning

Reference 15

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T16:15:47.382300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:15:39.548575Z digest=sha256:b47278efda7e0d6cfd12a536e5a7891bae5ed680065bf604db43ae6aebc4a6e6