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Paper Citation Record · LEDGER

Constraining dark matter annihilation with cosmic ray antiprotons using neural networks

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2107.12395.

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

pith.paper-citation-record.v1
2107.12395 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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:39:57.560002Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T19:38:53.049926Z

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 352cd8b4-2191-427a-b5ba-434b8fc6ee16 · inbound

Local Conformal Predictions for Calibrated Surrogates cites this paper.

Local Conformal Predictions for Calibrated Surrogates Constraining dark matter annihilation with cosmic ray antiprotons using neural networks

Reference 263

Resolution
verified exact
arxiv_id, observed 2026-07-03T19:38:53.051603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-03T19:29:34.070294Z digest=sha256:a390ebca5a532edbbed8d059e7dbe656fc1cf919afd088f9a9507881aa4ef344

Observation c0368fc4-ffc8-423c-a3ad-b075d9c22d73 · inbound

Generative Amplification with Surrogate Monte Carlo cites this paper.

Generative Amplification with Surrogate Monte Carlo Constraining dark matter annihilation with cosmic ray antiprotons using neural networks

Reference 251

Resolution
unresolved
no resolver link, observed 2026-08-15T14:39:57.560002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:39:57.560002Z digest=sha256:2ed9d48069dc908b16a3120e2bd044d1a9801a93419212bae172d6f4661b1065