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Paper Citation Record · LEDGER

Dark Catalysis

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1702.05482.

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

pith.paper-citation-record.v1
1702.05482 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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:51:08.314513Z

measured 0 of 1 external citation measurements

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

Source: cited_works

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 279aac6f-9f3f-4e3a-972c-50646d6b94e2 · inbound

Interacting dark energy in the early 2020s: a promising solution to the $H_0$ and cosmic shear tensions cites this paper.

Interacting dark energy in the early 2020s: a promising solution to the $H_0$ and cosmic shear tensions Dark Catalysis

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-14T13:51:08.314513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:51:08.314513Z digest=sha256:5c84ddd0d3d54e0b922e9a27659b1de007f126cea9155dbe15d9c14a59406f54

Observation d4f7c130-f762-4f98-b161-f81595d3753d · inbound

Mining for Dark Matter Substructure: Inferring subhalo population properties from strong lenses with machine learning cites this paper.

Mining for Dark Matter Substructure: Inferring subhalo population properties from strong lenses with machine learning Dark Catalysis

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-14T05:10:13.379289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:10:13.379289Z digest=sha256:017385d425c25a19676fc19cc35d9fa730dc5d6fd8c163e28dff745ed286b69b