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Paper Citation Record · LEDGER

Simulation-Based Inference of Strong Gravitational Lensing Parameters

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2112.05278.

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

pith.paper-citation-record.v1
2112.05278 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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:13:13.490339Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T01:12:15.333304Z

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 ea399e91-3f08-4215-998a-2e31ac567b0d · inbound

Deep Neural Network Driven Simulation Based Inference Method for Pole Position Estimation under Model Misspecification cites this paper.

Deep Neural Network Driven Simulation Based Inference Method for Pole Position Estimation under Model Misspecification Simulation-Based Inference of Strong Gravitational Lensing Parameters

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-15T18:13:13.490339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:13:13.490339Z digest=sha256:6a2f10dd004d2518f52d7ba33012944fc7e18f1f470c2ac25a1ac039e8903259

Observation 5832d72a-0763-4e34-8b19-94ddd4725658 · inbound

Quantifying Weighted Morphological Content of Large-Scale Structures via Simulation-Based Inference cites this paper.

Quantifying Weighted Morphological Content of Large-Scale Structures via Simulation-Based Inference Simulation-Based Inference of Strong Gravitational Lensing Parameters

Reference 88

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:12:15.334988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-18T01:11:20.309084Z digest=sha256:7543440e702fd47feca42b9f5cbc498fbe12ff187ed87d7f47204351e79d60fc