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Paper Citation Record · LEDGER

Quantics Tensor Train for solving Gross-Pitaevskii equation

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2507.03134.

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

pith.paper-citation-record.v1
2507.03134 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-19T10:47:37.786095Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T12:15:01.137692Z

Reference resolution

0 of 0 outbound references displayed

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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 186d55e0-593d-4c84-b906-7645b3333cb2 · inbound

Tensor network method for real-space topology in quasicrystal Chern mosaics cites this paper.

Tensor network method for real-space topology in quasicrystal Chern mosaics Quantics Tensor Train for solving Gross-Pitaevskii equation

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-19T10:52:15.325161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T10:47:37.786095Z digest=sha256:dc267107c437db5b688d5ad282b021e70af48da12ba8b97b3333cc54cbdc1dea

Observation 8dca2670-778d-470b-8cae-1ae472d0dab5 · inbound

Tensor network approach to momentum-resolved spectroscopy in non-periodic super-moir\'e systems cites this paper.

Tensor network approach to momentum-resolved spectroscopy in non-periodic super-moir\'e systems Quantics Tensor Train for solving Gross-Pitaevskii equation

Reference 67

Resolution
verified exact
arxiv_id, observed 2026-05-16T20:38:24.790399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T20:34:56.708591Z digest=sha256:d9c33d91df3a7f46b3505d3085be796c0714c477922276e3120ea8118768de45

Observation 794c22ee-19cc-4e41-a51a-25e7075230f9 · inbound

Adaptive Patching for Tensor Train Computations cites this paper.

Adaptive Patching for Tensor Train Computations Quantics Tensor Train for solving Gross-Pitaevskii equation

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-15T19:10:15.818440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T19:08:00.814980Z digest=sha256:c480eddb26e08d16ce1d38d9cded962407bbc2af060c5b9d0de2aef93de3d4f6

Observation eb794551-421d-4dcc-8bf1-4e6f5a2dfbd8 · inbound

Fast elementwise operations on tensor trains with alternating cross interpolation cites this paper.

Fast elementwise operations on tensor trains with alternating cross interpolation Quantics Tensor Train for solving Gross-Pitaevskii equation

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-15T00:28:22.889428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T00:25:20.432328Z digest=sha256:888497f0a856e03a71029c5b62cfb1b8bc31c6c39de6b620a9a7144a04a79c8d

Observation 7c97d31f-18ca-4de4-9482-c107aff5e83d · inbound

Tailoring tensor network techniques to the quantics representation for highly inhomogeneous problems and few body problems cites this paper.

Tailoring tensor network techniques to the quantics representation for highly inhomogeneous problems and few body problems Quantics Tensor Train for solving Gross-Pitaevskii equation

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-10T17:40:40.260871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T17:38:40.466236Z digest=sha256:df5a94ebe88849a6457627ed96a5d3e8bcfb196400dd52ab406512f48cb40d3a