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Paper Citation Record · LEDGER

Dim but not entirely dark: Extracting the Galactic Center Excess' source-count distribution with neural nets

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2107.09070.

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

pith.paper-citation-record.v1
2107.09070 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:45:59.407097Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T19:58:54.814008Z

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 f9cd0bbc-eae2-45f2-b543-19f13178d5e8 · 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 Dim but not entirely dark: Extracting the Galactic Center Excess' source-count distribution with neural nets

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-16T00:45:59.407097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:45:59.407097Z digest=sha256:715b849664a02a92b43880283262d2f627affcd29e6798ec1a849ff93ba0c4b0

Observation c1868afa-4d3c-4af2-9df5-d1a7a744c8d9 · inbound

Stellar-like Galactic center excess challenges particle dark matter cites this paper.

Stellar-like Galactic center excess challenges particle dark matter Dim but not entirely dark: Extracting the Galactic Center Excess' source-count distribution with neural nets

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-04T00:02:23.710014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T00:02:23.710014Z digest=sha256:8570eccb665374f4651127bf1f4b96dff782302f828574f83f846f4808a2b9ed

Observation fd913521-6a78-43e4-b4f1-da8e0fe6fec6 · inbound

High-dimensional inference for the $\gamma$-ray sky with differentiable programming cites this paper.

High-dimensional inference for the $\gamma$-ray sky with differentiable programming Dim but not entirely dark: Extracting the Galactic Center Excess' source-count distribution with neural nets

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:15:58.919561Z

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=2026-05-10T17:15:48.820343Z digest=sha256:10c5cc0a3cf9e7162592ae03a5505aa455f5a492cb4fab4bc5344e94965d9526

Observation 2c6e4029-5e93-4461-9657-3e805acc7b08 · inbound

Local Conformal Predictions for Calibrated Surrogates cites this paper.

Local Conformal Predictions for Calibrated Surrogates Dim but not entirely dark: Extracting the Galactic Center Excess' source-count distribution with neural nets

Reference 291

Resolution
verified exact
arxiv_id, observed 2026-07-03T19:58:54.815294Z

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=arxiv_source observed=2026-07-03T19:29:34.070294Z digest=sha256:020109b8ad5ab4d5b066d74a2dbe6584260af3b17aa6a28324a7cce11221605b

Observation a5eb5a5c-0a12-49ab-a83f-d08a0a8bd2f1 · inbound

Generative Amplification with Surrogate Monte Carlo cites this paper.

Generative Amplification with Surrogate Monte Carlo Dim but not entirely dark: Extracting the Galactic Center Excess' source-count distribution with neural nets

Reference 279

Resolution
unresolved
no resolver link, observed 2026-08-15T14:39:57.692261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:39:57.692261Z digest=sha256:af47ce61066f125267a195043c9d271a05e864396dde5f11d47d7a073c1f698e