Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
NP-Hardness of Tensor Network Contraction Ordering
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2310.06140.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T12:40:28.912147Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T23:16:23.665582Z
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 c20bd890-5030-45be-a52d-69d88842518d · inbound
Integrating Neural Networks and Tensor Networks for Computing Free Energy cites this paper.
Integrating Neural Networks and Tensor Networks for Computing Free Energy NP-Hardness of Tensor Network Contraction Ordering
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:40:28.912147Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e90ba5d9-07d5-486f-b1a2-ecdbb273f5b6 · inbound
TensorKit.jl: A Julia package for large-scale tensor computations, with a hint of category theory cites this paper.
TensorKit.jl: A Julia package for large-scale tensor computations, with a hint of category theory NP-Hardness of Tensor Network Contraction Ordering
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:50:52.934827Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 049e638b-9878-44f7-a0f9-33f79599da69 · inbound
Algorithmic algorithm development with LLMs: A Case Study on LLM-Usage for Contraction Order Optimization in Tensor Networks cites this paper.
Algorithmic algorithm development with LLMs: A Case Study on LLM-Usage for Contraction Order Optimization in Tensor Networks NP-Hardness of Tensor Network Contraction Ordering
Reference 69
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T23:16:23.667677Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.