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Paper Citation Record · LEDGER

Strong Gravitational Lensing Parameter Estimation with Vision Transformer

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2210.04143.

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

pith.paper-citation-record.v1
2210.04143 v1

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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:50:55.454631Z

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

5
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 415ace92-dcc7-492a-bfcd-4a4430fa9c4e · inbound

ViT-based Local Volume dwarf galaxy Identificationin (VIDA) in the CSST survey cites this paper.

ViT-based Local Volume dwarf galaxy Identificationin (VIDA) in the CSST survey Strong Gravitational Lensing Parameter Estimation with Vision Transformer

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T10:50:55.454631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:50:55.454631Z digest=sha256:bc42390b1dd5751e5f8320a340f389f3c7cd741ec28948527ed1ded9245522c0

Observation 820f97c8-2028-4d1b-9f0c-28770ba431b7 · inbound

Speeding up Gravitational Lens Mass Models with Machine Learning: Applications in X-ray Astronomy cites this paper.

Speeding up Gravitational Lens Mass Models with Machine Learning: Applications in X-ray Astronomy Strong Gravitational Lensing Parameter Estimation with Vision Transformer

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-08-01T04:28:35.333995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-01T04:26:38.791063Z digest=sha256:8d52697df2cdf4a7ca53ed57c22184e8a2e9e5456c0ca4e0ace1c0b691a62700