Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Differentiable Programming of Isometric Tensor Networks
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2110.03898.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T03:08:17.773170Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T08:23:15.140528Z
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 99c0d52a-571d-49c5-ae3a-900d8b9ec0cd · inbound
Forward-mode automatic differentiation for the tensor renormalization group and its relation to the impurity method cites this paper.
Forward-mode automatic differentiation for the tensor renormalization group and its relation to the impurity method Differentiable Programming of Isometric Tensor Networks
Reference 68
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T03:08:17.773170Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 08f8ec5f-1ab5-4417-ba14-8fe8df232d01 · inbound
Scaling at Chiral Clock Criticality via Entanglement Renormalization cites this paper.
Scaling at Chiral Clock Criticality via Entanglement Renormalization Differentiable Programming of Isometric Tensor Networks
Reference 51
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T01:10:09.259987Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 18a10873-1ef7-4b33-aeea-05c327910ee9 · inbound
Automatically Differentiable Nonlinear Tensor Networks (ADNTNs) for Exponential Parameter Compression of Deep Neural Networks cites this paper.
Automatically Differentiable Nonlinear Tensor Networks (ADNTNs) for Exponential Parameter Compression of Deep Neural Networks Differentiable Programming of Isometric Tensor Networks
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T08:23:15.141863Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.