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Paper Citation Record · LEDGER

Classification algorithms applied to structure formation simulations

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2106.06587.

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

pith.paper-citation-record.v1
2106.06587 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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:54:17.391492Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T01:46:57.838576Z

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 7ab52821-9b43-4664-82ef-8e7aab475d5e · 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 Classification algorithms applied to structure formation simulations

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T14:54:17.391492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:54:17.391492Z digest=sha256:8340474366eace46d0e164cb4a5c395259dc2891decc9e9aacee71453d419dac

Observation f9100fea-f2b0-44d8-aa5b-502759d8c786 · inbound

Segmenting proto-halos with vision transformers cites this paper.

Segmenting proto-halos with vision transformers Classification algorithms applied to structure formation simulations

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-19T01:46:57.840880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T01:43:50.077818Z digest=sha256:1f029e7a5f647d6066bf911dfb330b01c5126c5135f7de160853286f74899513