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Paper Citation Record · LEDGER

Compressing multivariate functions with tree tensor networks

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2410.03572.

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

pith.paper-citation-record.v1
2410.03572 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:17:11.102749Z

measured 1 of 1 external citation measurements

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

Source: pith, 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

2
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 34c7964e-d809-489f-80a6-78bf49988f9b · inbound

Computing Quantum Resources using Tensor Cross Interpolation cites this paper.

Computing Quantum Resources using Tensor Cross Interpolation Compressing multivariate functions with tree tensor networks

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-08T14:17:11.102749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T14:17:11.102749Z digest=sha256:4bc1bf632b1315448b8941779157dab96d3711be5adeb9794cc55353b41ba39a

Observation 3706ad59-1396-4096-a5a6-d78cf8e4f86d · inbound

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

Inchworm tensor train hybridization expansion quantum impurity solver Compressing multivariate functions with tree tensor networks

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-07T15:12:04.425562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:12:04.425562Z digest=sha256:82af33b6f8fb3e3b127d28e8bd51425a6f347f7b1673e2f26b6714648e023c0c

Observation 40f54995-fc5a-40c5-a1dd-3514d90b613a · inbound

The Integral Decimation Method for Quantum Dynamics and Statistical Mechanics cites this paper.

The Integral Decimation Method for Quantum Dynamics and Statistical Mechanics Compressing multivariate functions with tree tensor networks

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-06-10T02:12:35.704796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T09:05:25.481162Z digest=sha256:f340f3b63317575d496f096843378959fe2c752ba17bb0691d9435555e3ff053

Observation bd71d38a-d8b1-4dc1-b3a0-2473a33d20de · inbound

Quantics Tensor Train for solving Gross-Pitaevskii equation cites this paper.

Quantics Tensor Train for solving Gross-Pitaevskii equation Compressing multivariate functions with tree tensor networks

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-06T20:23:27.463299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:23:27.463299Z digest=sha256:ccfe0fccf9ece51816c01214acd07387692f4e2466f7fa88439ad81837abe074

Observation 2149edda-b579-4cfb-b732-8937f1de9af9 · inbound

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

Fast elementwise operations on tensor trains with alternating cross interpolation Compressing multivariate functions with tree tensor networks

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-06-10T02:12:35.704796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T00:25:20.432328Z digest=sha256:4baaec4c80f7ec6849a6cea03ba867bcceee85046d9a75105414cce83360e9b9

Observation 1cf28cfd-eb6d-474f-bdc7-3a39f0fd2d65 · 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 Compressing multivariate functions with tree tensor networks

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-06-10T02:12:35.704796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T17:38:40.466236Z digest=sha256:dc1399db98a1fda1f13b535e8836f4f6c42062e28694242d1979a7bab411b784

Observation 61298966-e203-4659-9bb0-571898ad644d · inbound

TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions cites this paper.

TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions Compressing multivariate functions with tree tensor networks

Reference 25

Resolution
metadata mismatch
local_arxiv, observed 2026-07-01T22:06:16.568172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-28T15:45:46.243327Z digest=sha256:3ba63041a6e076f4fff5c1881650e1d59107ed3ee673f6a844d3077e5da7416d