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Paper Citation Record · LEDGER

Adaptive sampling-based optimization of quantics tensor trains for noisy functions: applications to quantum simulations

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.12730.

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

pith.paper-citation-record.v1
2405.12730 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:12:04.406810Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 1332d05d-fbe9-4c8c-ba55-295c27d83c7f · inbound

Inchworm tensor train hybridization expansion quantum impurity solver cites this paper.

Inchworm tensor train hybridization expansion quantum impurity solver Adaptive sampling-based optimization of quantics tensor trains for noisy functions: applications to quantum simulations

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T15:12:04.406810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:12:04.406810Z digest=sha256:240fce84e3a5d9d48846c42587924f5caf84d0fde3fc46d7a821fe5cfae5b292

Observation 2b60269b-2ee6-46e4-8d5b-49b831bb1b60 · inbound

Solving the Gross-Pitaevskii equation on multiple different scales using the quantics tensor train representation cites this paper.

Solving the Gross-Pitaevskii equation on multiple different scales using the quantics tensor train representation Adaptive sampling-based optimization of quantics tensor trains for noisy functions: applications to quantum simulations

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-19T06:52:07.523851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-19T06:49:58.593083Z digest=sha256:a340acf5b3bd0ac91024fc50358ef4e4bf2c0d4992cc1307f927d81c6f63a782

Observation 41aec3f7-cbba-4eff-af3e-a5bb774279b4 · inbound

Tensor train representations of Greeks for Fourier-based pricing of multi-asset options cites this paper.

Tensor train representations of Greeks for Fourier-based pricing of multi-asset options Adaptive sampling-based optimization of quantics tensor trains for noisy functions: applications to quantum simulations

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T18:26:21.066532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:26:21.066532Z digest=sha256:8560b45a7d42f8ccd27f346f1a404d04d7a9be8ce11372bccf688181623e28cd