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Paper Citation Record · LEDGER

Hyper-optimized approximate contraction of tensor networks with arbitrary geometry

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2206.07044.

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

pith.paper-citation-record.v1
2206.07044 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:59:53.308959Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T12:57:46.134027Z

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 1bf2ed0b-c20a-493a-8220-c6d3c7b68451 · inbound

Markov Chain Monte Carlo in Tensor Network Representation cites this paper.

Markov Chain Monte Carlo in Tensor Network Representation Hyper-optimized approximate contraction of tensor networks with arbitrary geometry

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-11T22:59:53.308959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:59:53.308959Z digest=sha256:4f94078e43a76486e1ecbb234b774b7d00a7dc1dfca6b53594a7001f534a1aeb

Observation fa4bdb72-f68c-4fbe-8af3-770fb60c7dec · inbound

Tensor-network decoders for process tensor descriptions of non-Markovian noise cites this paper.

Tensor-network decoders for process tensor descriptions of non-Markovian noise Hyper-optimized approximate contraction of tensor networks with arbitrary geometry

Reference 53

Resolution
verified exact
local_arxiv, observed 2026-08-11T12:57:46.139255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T12:57:46.005354Z digest=sha256:b327e18c90ed233b4dcf2e7018f4c7fd01b5b30128715862f18fbbe1a57c6930