Pith. sign in

Paper Citation Record · LEDGER

Predicting dark matter halo masses from simulated galaxy images and environments

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.13735.

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

pith.paper-citation-record.v1
2407.13735 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:27:43.212921Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 5b3d9d53-f17b-4da3-8eca-72ec5c5e518e · inbound

Learning Intrinsic Alignments from Local Galaxy Environments cites this paper.

Learning Intrinsic Alignments from Local Galaxy Environments Predicting dark matter halo masses from simulated galaxy images and environments

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T10:27:43.212921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:27:43.212921Z digest=sha256:7bb883d6119a29949e8fc885b9f60eb2307f6addb22f2414ac9bb0ae1ea2728c

Observation 34138d5e-ff91-4461-9bf1-592838f3b907 · inbound

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning cites this paper.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning Predicting dark matter halo masses from simulated galaxy images and environments

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-17T04:31:31.229755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-17T04:29:14.882153Z digest=sha256:2d45b761b6544dbedc9e65732e5cd9e3e0e2602aea04a4336bf48e71d91f9d7e

Observation 1a44d538-f20d-41d1-af9c-7a478678f911 · inbound

Cluster Mass Inference from Galaxy Kinematics cites this paper.

Cluster Mass Inference from Galaxy Kinematics Predicting dark matter halo masses from simulated galaxy images and environments

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-06-27T07:30:41.956246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T06:16:37.393826Z digest=sha256:05986a3937c29690d5c426e28a325c36c08cb2a9af10a1da1a9a8bdd9add91e9