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Paper Citation Record · LEDGER

A neural simulation-based inference approach for characterizing the Galactic Center $\gamma$-ray excess

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2110.06931.

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

pith.paper-citation-record.v1
2110.06931 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:45:59.402093Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T17:26:39.819809Z

Reference resolution

0 of 0 outbound references displayed

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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 33f95d33-ab0a-4047-be0a-302b175472e6 · inbound

Tests for model misspecification in simulation-based inference: from local distortions to global model checks cites this paper.

Tests for model misspecification in simulation-based inference: from local distortions to global model checks A neural simulation-based inference approach for characterizing the Galactic Center $\gamma$-ray excess

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-11T11:47:20.892204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:47:20.892204Z digest=sha256:68d29975f35d988c07ce7fd1ef4e84c38d3a43f20cd11243416a549045c58ba4

Observation b3286903-f809-48d6-b936-9273eac7c928 · inbound

A robust neural determination of the source-count distribution of the Fermi-LAT sky at high latitudes cites this paper.

A robust neural determination of the source-count distribution of the Fermi-LAT sky at high latitudes A neural simulation-based inference approach for characterizing the Galactic Center $\gamma$-ray excess

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-16T00:45:59.402093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a5831f20-1c54-4892-85bd-32891ba20f58 · inbound

Higgs Signal Strength Estimation with Machine Learning under Systematic Uncertainties cites this paper.

Higgs Signal Strength Estimation with Machine Learning under Systematic Uncertainties A neural simulation-based inference approach for characterizing the Galactic Center $\gamma$-ray excess

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-05T13:28:03.661846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:28:03.661846Z digest=sha256:4df192d5636eccc92334fc62d0b3df5637567d4e0649a3dacfc60e004b664933

Observation 1f5f8bcc-9ef6-4c40-88ca-d2cf75f4eb67 · inbound

Testing Viability of Benchmark Dark Matter Models for the Galactic Center Excess cites this paper.

Testing Viability of Benchmark Dark Matter Models for the Galactic Center Excess A neural simulation-based inference approach for characterizing the Galactic Center $\gamma$-ray excess

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-18T17:26:39.822283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T17:26:22.291821Z digest=sha256:9842e219cc040cb85bf81bc614b7db8f25341ee27bab7c6c8da22b137ce8d7d9

Observation 72885f7f-3825-4932-844c-3fb3babb3222 · inbound

Probing Neutron Star Interiors and the Properties of Cold Ultra-dense Matter with the SKAO cites this paper.

Probing Neutron Star Interiors and the Properties of Cold Ultra-dense Matter with the SKAO A neural simulation-based inference approach for characterizing the Galactic Center $\gamma$-ray excess

Reference 238

Resolution
unresolved
no resolver link, observed 2026-07-12T09:19:35.429829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T09:19:35.429829Z digest=sha256:538fbc5be691b61ad57442691f858cd0833d6240bd7f9aa3be85ee369b0ab528

Observation b5f4a2ca-3576-4664-9a15-e3e26b80a9ce · inbound

Generative Amplification with Surrogate Monte Carlo cites this paper.

Generative Amplification with Surrogate Monte Carlo A neural simulation-based inference approach for characterizing the Galactic Center $\gamma$-ray excess

Reference 293

Resolution
unresolved
no resolver link, observed 2026-08-15T14:39:57.752848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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