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Paper Citation Record · LEDGER

Estimating Cosmological Parameters from the Dark Matter Distribution

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:1711.02033.

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

pith.paper-citation-record.v1
1711.02033 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:47:27.875497Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-06-30T15:14:47.238054Z

Reference resolution

0 of 0 outbound references displayed

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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 512284ea-eb8f-46dc-a302-ab9fadcf518d · inbound

Cosmological parameter estimation from large-scale structure deep learning cites this paper.

Cosmological parameter estimation from large-scale structure deep learning Estimating Cosmological Parameters from the Dark Matter Distribution

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-14T10:47:27.875497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f3e36c71-44a0-4334-995a-c4784993e630 · inbound

AI-Powered Reconstruction of Dark Matter Velocity Fields from Redshift-Space Halo Distribution cites this paper.

AI-Powered Reconstruction of Dark Matter Velocity Fields from Redshift-Space Halo Distribution Estimating Cosmological Parameters from the Dark Matter Distribution

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-12T18:48:42.424346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:48:42.424346Z digest=sha256:18b08186d5acc0b81bba291a02da2c430811c4d93ed7e2cc691a36b363b25a9d

Observation a10a51d0-f66c-45b0-93b9-27a57960a3e3 · inbound

Convolutional Vision Transformer for Cosmology Parameter Inference cites this paper.

Convolutional Vision Transformer for Cosmology Parameter Inference Estimating Cosmological Parameters from the Dark Matter Distribution

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-12T15:18:20.978029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e66c372d-b28c-40c4-addc-0194a09915b9 · inbound

Deep Needlet: A CNN based full sky component separation method in Needlet space cites this paper.

Deep Needlet: A CNN based full sky component separation method in Needlet space Estimating Cosmological Parameters from the Dark Matter Distribution

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-10T20:48:07.010993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:48:07.010993Z digest=sha256:b0b4556f27386e6cb352dd67d0870f998d12af32d24661b88b73c61aa6b022fe

Observation f324b8d2-f8c0-46e9-abe4-1a59ff22c40f · inbound

Learning Cosmology from Nearest Neighbour Statistics cites this paper.

Learning Cosmology from Nearest Neighbour Statistics Estimating Cosmological Parameters from the Dark Matter Distribution

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-03T21:51:29.116055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T21:51:29.116055Z digest=sha256:e43c046a488a290ccf3a67440fd161dbbdbbb5b3b11f8d287a435e20911df605

Observation eec92c71-6a09-4d88-850a-ebc4ee42b26f · inbound

Cosmological constraints from neighbor-density-weighted marked correlation functions cites this paper.

Cosmological constraints from neighbor-density-weighted marked correlation functions Estimating Cosmological Parameters from the Dark Matter Distribution

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-05-25T03:30:17.261216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-25T03:27:13.896349Z digest=sha256:4bb3c3444cb2c701860268baed739275e965f6edf854d26e509b71018a9afc3c

Observation d7d51025-5675-44ec-8508-4cc64096916f · inbound

Cosmological constraints from neighbor-density-weighted marked correlation functions cites this paper.

Cosmological constraints from neighbor-density-weighted marked correlation functions Estimating Cosmological Parameters from the Dark Matter Distribution

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-06-30T15:14:47.239815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-30T15:08:32.960489Z digest=sha256:9b9942b1e7242d283895078696608cf0ea1b136024d68d79525774535cced426