Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Towards LLM-guided Efficient and Interpretable Multi-linear Tensor Network Rank Selection
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.10728.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T14:07:07.391120Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T19:21:49.172125Z
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 aec892dc-ee6e-462f-8513-de6983d514c6 · inbound
TensorLLM: Tensorising Multi-Head Attention for Enhanced Reasoning and Compression in LLMs cites this paper.
TensorLLM: Tensorising Multi-Head Attention for Enhanced Reasoning and Compression in LLMs Towards LLM-guided Efficient and Interpretable Multi-linear Tensor Network Rank Selection
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T14:07:07.391120Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0472993a-3ca5-464f-8d3f-b969cbacd7aa · inbound
TeRA: Vector-based Random Tensor Network for High-Rank Adaptation of Large Language Models cites this paper.
TeRA: Vector-based Random Tensor Network for High-Rank Adaptation of Large Language Models Towards LLM-guided Efficient and Interpretable Multi-linear Tensor Network Rank Selection
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T19:21:49.174441Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.