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Paper Citation Record · LEDGER

Pyro: Deep Universal Probabilistic Programming

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:1810.09538.

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

pith.paper-citation-record.v1
1810.09538 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T18:01:24.028541Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

591
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation fcc011a8-265b-481d-b382-d30e1acc646b · inbound

Symbolic Emulators for Cosmology: Accelerating Cosmological Analyses Without Sacrificing Precision cites this paper.

Symbolic Emulators for Cosmology: Accelerating Cosmological Analyses Without Sacrificing Precision Pyro: Deep Universal Probabilistic Programming

Reference 55

Resolution
verified exact
local_arxiv, observed 2026-05-18T04:42:22.858294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 0899a481-9567-4e00-b7fb-2ae18a07d30a · inbound

Training Language Models to Use Prolog as a Tool cites this paper.

Training Language Models to Use Prolog as a Tool Pyro: Deep Universal Probabilistic Programming

Reference 21

Resolution
metadata mismatch
local_arxiv, observed 2026-05-17T01:18:48.444310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 7cde6ff8-8b46-40d7-980e-1971b4ffcdb3 · inbound

Training Language Models to Use Prolog as a Tool cites this paper.

Training Language Models to Use Prolog as a Tool Pyro: Deep Universal Probabilistic Programming

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-03T18:01:24.028541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:01:24.028541Z digest=sha256:50e31ed249518b9e81c2b25dc1d940bc3fe0e5d730ed8ad33bfb5b198cdb73b1

Observation a419eb1a-55dd-42b2-8146-eb24d94aac2f · inbound

Stochastic gravitational-wave background search using data from five pulsar timing arrays cites this paper.

Stochastic gravitational-wave background search using data from five pulsar timing arrays Pyro: Deep Universal Probabilistic Programming

Reference 56

Resolution
verified exact
local_arxiv, observed 2026-05-17T00:08:43.296809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T00:05:42.521526Z digest=sha256:3f057c9a1acfd115d6884cc2fddfbedd71a158c6b82cda61558d94f72c7e3fe1

Observation 0b0cf0c7-b17d-4804-9609-9eadd2651481 · inbound

FEADME: Fast Elliptical Accretion Disk Modeling Engine cites this paper.

FEADME: Fast Elliptical Accretion Disk Modeling Engine Pyro: Deep Universal Probabilistic Programming

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-03T17:18:08.495745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T17:18:08.495745Z digest=sha256:9f5fed094304f42702108391d34bd9fa069b8e1f9780ae95b0c8a85af0f9f9a7

Observation a94c3083-c42f-4cea-9ba0-1073cfd7ac78 · inbound

Machine-learning techniques for model-independent searches in dijet final states cites this paper.

Machine-learning techniques for model-independent searches in dijet final states Pyro: Deep Universal Probabilistic Programming

Reference 104

Resolution
unresolved
no resolver link, observed 2026-08-03T14:29:25.312644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T14:29:25.312644Z digest=sha256:2db0cf32d10a4b2e416b50777d3cdfa0f5469abfb96f5c2ca9c3f0a9a79bff97

Observation 451fddb1-1072-47d5-8e53-a412db95e987 · inbound

Discovery of a compact hierarchical triple main-sequence star system while searching for binary stars with compact objects cites this paper.

Discovery of a compact hierarchical triple main-sequence star system while searching for binary stars with compact objects Pyro: Deep Universal Probabilistic Programming

Reference 5

Resolution
metadata mismatch
local_arxiv, observed 2026-05-16T10:00:49.596786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T10:00:38.891390Z digest=sha256:a2d3f964bdc410a71fe1a9ede8fc58907517d43c648ab843b710d4873c6806bc

Observation 9fa165e7-a466-4cce-8f7a-afd1b3626d2d · inbound

Why Do Safety Guardrails Degrade Across Languages? cites this paper.

Why Do Safety Guardrails Degrade Across Languages? Pyro: Deep Universal Probabilistic Programming

Reference 20

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T14:18:21.080723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-20T14:17:41.347193Z digest=sha256:3c3ba858a1e7783048ae5c0e6f0d9bf8001cbc64f82be2345decf66bb49f8434

Observation 967530f6-4b4a-495c-9d65-dd28bae5cfc2 · inbound

Gravitational-wave constraints on $H_0$ are robust to (putative) redshift evolution in the binary black hole mass spectrum at current sensitivity cites this paper.

Gravitational-wave constraints on $H_0$ are robust to (putative) redshift evolution in the binary black hole mass spectrum at current sensitivity Pyro: Deep Universal Probabilistic Programming

Reference 52

Resolution
verified exact
local_arxiv, observed 2026-05-20T03:48:02.864144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 72b0cea5-b5cd-427f-bab7-2e82438fb3b3 · inbound

The GALAH Survey: Neutron-Capture Elemental Abundances for 350,000 Gaia-RVS Spectra and the Chemodynamics of Accreted Structures cites this paper.

The GALAH Survey: Neutron-Capture Elemental Abundances for 350,000 Gaia-RVS Spectra and the Chemodynamics of Accreted Structures Pyro: Deep Universal Probabilistic Programming

Reference 84

Resolution
verified exact
local_arxiv, observed 2026-06-28T05:51:40.278214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation c322e449-3646-4c1d-838d-745b20bfe475 · inbound

Cluster Mass Inference from Galaxy Kinematics cites this paper.

Cluster Mass Inference from Galaxy Kinematics Pyro: Deep Universal Probabilistic Programming

Reference 14

Resolution
metadata mismatch
local_arxiv, observed 2026-06-27T07:30:41.823617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-27T06:16:37.393826Z digest=sha256:541dde0442f8c261ffa5c96679510b83f3935d606af9a5610e0c1a577c632e3a

Observation 58a7503d-8ba0-4195-b94a-12a82dcd4648 · inbound

Learning Dynamical Systems from Multiple Sparse Datasets: A Hierarchical Bayesian Modeling Approach cites this paper.

Learning Dynamical Systems from Multiple Sparse Datasets: A Hierarchical Bayesian Modeling Approach Pyro: Deep Universal Probabilistic Programming

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-06-26T00:38:43.305101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-26T00:29:50.712248Z digest=sha256:edcb557848ec363194cb10c1ce8ddc0b42ee52f9d050adee1473da7a34d371c1

Observation c963f867-8f96-476d-9d82-12be50ed5fa2 · inbound

A Four-dimensional Model-agnostic Probe into the Astrophysical Origins of Binary Black Hole Subpopulations cites this paper.

A Four-dimensional Model-agnostic Probe into the Astrophysical Origins of Binary Black Hole Subpopulations Pyro: Deep Universal Probabilistic Programming

Reference 20

Resolution
unresolved
no resolver link, observed 2026-07-31T01:54:12.175705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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