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Paper Citation Record · LEDGER

Domain Adaptive Graph Neural Networks for Constraining Cosmological Parameters Across Multiple Data Sets

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2311.01588.

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

pith.paper-citation-record.v1
2311.01588 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:18:11.026701Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T11:59:50.327452Z

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 9fea07a5-7975-4c6a-b7db-f6afec2f3ff4 · inbound

Learning Optimal and Interpretable Summary Statistics of Galaxy Catalogs with SBI cites this paper.

Learning Optimal and Interpretable Summary Statistics of Galaxy Catalogs with SBI Domain Adaptive Graph Neural Networks for Constraining Cosmological Parameters Across Multiple Data Sets

Reference 120

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unresolved
no resolver link, observed 2026-08-12T21:18:11.026701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f3301a70-9377-4c95-839e-2c6c30749f33 · inbound

Cosmological Analysis with Calibrated Neural Quantile Estimation and Approximate Simulators cites this paper.

Cosmological Analysis with Calibrated Neural Quantile Estimation and Approximate Simulators Domain Adaptive Graph Neural Networks for Constraining Cosmological Parameters Across Multiple Data Sets

Reference 49

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verified exact
arxiv_id, observed 2026-05-23T16:43:11.373734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 5187f3e2-8dcf-496e-adec-44374ed49f6f · inbound

CASCO: Cosmological and AStrophysical parameters from Cosmological simulations and Observations -- II. Constraining cosmology and astrophysical processes with early- and late-type galaxies cites this paper.

CASCO: Cosmological and AStrophysical parameters from Cosmological simulations and Observations -- II. Constraining cosmology and astrophysical processes with early- and late-type galaxies Domain Adaptive Graph Neural Networks for Constraining Cosmological Parameters Across Multiple Data Sets

Reference 50

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ae2537cc-cdde-4d4b-9037-99c9f8e13741 · inbound

Learning Balanced Field Summaries of the Large-Scale Structure with the Neural Field Scattering Transform cites this paper.

Learning Balanced Field Summaries of the Large-Scale Structure with the Neural Field Scattering Transform Domain Adaptive Graph Neural Networks for Constraining Cosmological Parameters Across Multiple Data Sets

Reference 36

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unresolved
no resolver link, observed 2026-08-07T10:30:50.690974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6168dcd0-f8ce-4a45-ac4d-6ce62f8b4eff · inbound

Learning Intrinsic Alignments from Local Galaxy Environments cites this paper.

Learning Intrinsic Alignments from Local Galaxy Environments Domain Adaptive Graph Neural Networks for Constraining Cosmological Parameters Across Multiple Data Sets

Reference 46

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unresolved
no resolver link, observed 2026-08-07T10:27:43.376152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 62477067-9f63-47c0-97ba-f3ae2fb9a636 · inbound

The Ray Tracing Sampler: Bayesian Sampling of Neural Networks for Everyone cites this paper.

The Ray Tracing Sampler: Bayesian Sampling of Neural Networks for Everyone Domain Adaptive Graph Neural Networks for Constraining Cosmological Parameters Across Multiple Data Sets

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-04T07:36:38.496610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T07:36:38.496610Z digest=sha256:fcca6b0a65c53d03b157cde34411b566a725a95feffa8798d2e888cb21ed0690

Observation abc6f420-554e-4fe0-a070-e90493d37d3c · inbound

Learning Cosmology from Nearest Neighbour Statistics cites this paper.

Learning Cosmology from Nearest Neighbour Statistics Domain Adaptive Graph Neural Networks for Constraining Cosmological Parameters Across Multiple Data Sets

Reference 52

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unresolved
no resolver link, observed 2026-08-03T21:51:29.118704Z

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Unavailable: canonical work link unavailable.

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Observation fa17c743-46bb-46e4-b408-fcb27add9eee · inbound

From Simulations to Surveys: Domain Adaptation for Galaxy Observations cites this paper.

From Simulations to Surveys: Domain Adaptation for Galaxy Observations Domain Adaptive Graph Neural Networks for Constraining Cosmological Parameters Across Multiple Data Sets

Reference 35

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unresolved
no resolver link, observed 2026-08-03T20:45:55.857259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3f569c05-6731-4c74-b900-94fe27bdb614 · inbound

Field-level weak lensing cosmology with $<100$ simulations using multifidelity simulation-based inference cites this paper.

Field-level weak lensing cosmology with $<100$ simulations using multifidelity simulation-based inference Domain Adaptive Graph Neural Networks for Constraining Cosmological Parameters Across Multiple Data Sets

Reference 125

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metadata mismatch
arxiv_id, observed 2026-07-04T11:59:50.329630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 3d26910f-d9bd-4ef4-9d7c-b0d6cb1f11ee · inbound

Simulation-Based Inference for Cluster Cosmology with Set-Based Neural Network Architectures cites this paper.

Simulation-Based Inference for Cluster Cosmology with Set-Based Neural Network Architectures Domain Adaptive Graph Neural Networks for Constraining Cosmological Parameters Across Multiple Data Sets

Reference 74

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metadata mismatch
arxiv_id, observed 2026-07-01T18:55:58.496831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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