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Paper Citation Record · LEDGER

Inferring galaxy dark halo properties from visible matter with Machine Learning

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2111.01185.

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

pith.paper-citation-record.v1
2111.01185 v1

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 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:13:14.937348Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:54:20.247021Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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  • malformed identifier0
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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 5dca6474-0a0b-4aa6-afc9-8535e66b43b9 · inbound

Brazilian Report on Dark Matter 2024 cites this paper.

Brazilian Report on Dark Matter 2024 Inferring galaxy dark halo properties from visible matter with Machine Learning

Reference 152

Resolution
unresolved
no resolver link, observed 2026-08-16T11:13:14.937348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:13:14.937348Z digest=sha256:77c1728ed682f29f8a100b270bb05988f2791bfd63e90d94fd21a9a035b175fc

Observation fa90be0c-4ff6-47dc-bd7b-426e4da86f81 · inbound

Reconstructing Cosmic History with Machine Learning: A Study Using CART, MLPR, and SVR cites this paper.

Reconstructing Cosmic History with Machine Learning: A Study Using CART, MLPR, and SVR Inferring galaxy dark halo properties from visible matter with Machine Learning

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:54:20.305759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:54:17.585343Z digest=sha256:ca92a421acb6c9e39a618accd4a1a044e0dff2a6434f1cedcc3d185c8b61fe05