Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Statistical Inference for Low-Rank Tensor Models
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2501.16223.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T04:53:49.182442Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T07:23:06.988874Z
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 6395d05c-ec72-48d5-a31e-892144c5493e · inbound
Bridging Domain Adaptation and Graph Neural Networks: A Tensor-Based Framework for Effective Label Propagation cites this paper.
Bridging Domain Adaptation and Graph Neural Networks: A Tensor-Based Framework for Effective Label Propagation Statistical Inference for Low-Rank Tensor Models
Reference 87
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T04:53:49.182442Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7b6e7ec9-9a76-46e5-a57a-3346f824ae21 · inbound
Generalized Tensor Completion with Non-Random Missingness cites this paper.
Generalized Tensor Completion with Non-Random Missingness Statistical Inference for Low-Rank Tensor Models
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T00:02:59.095480Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5c90079c-941b-4fb5-872d-8102659ab387 · inbound
Dual-Channel Tensor Neural Networks: Finite-Sample Theory and Conformal Structure Selection cites this paper.
Dual-Channel Tensor Neural Networks: Finite-Sample Theory and Conformal Structure Selection Statistical Inference for Low-Rank Tensor Models
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T07:23:06.990239Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.