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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 14 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 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T04:41:38.239473Z

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 90002dd2-fd4a-46fe-8d43-ed056d2c21a6 · inbound

Causal identification with $Y_0$ cites this paper.

Causal identification with $Y_0$ Pyro: Deep Universal Probabilistic Programming

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T04:41:38.239473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:41:38.239473Z digest=sha256:45bb703cdc3f9156c6985f643c93e27d993d7da03278a7fb827e6d764eeec901

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 2026-08-06T06:34:29.942622+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 2026-08-06T06:34:29.942622+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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-17T00:05:42.521526Z digest=sha256:6a96c08f2f6e60d96a27fe75d71b76ded51ea94b7b805ee0cafb2e0acb7ffc9e

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=sha256:69542991472ded0dba1f4bf1a54bb1e8eaaf2cc0e1fa50f22388ae5ef4704053

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-16T10:00:38.891390Z digest=sha256:334ca5e9cea534023dbb18941fc36d051ff268fd94a300aae46e4cf7ce16d050

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 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-20T14:17:41.347193Z digest=sha256:f4ab3caa69a034846cfbe02ae0c9cb7a73a417dee073f58220ab394b73842fc9

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 2026-08-06T06:34:29.942622+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 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-28T05:49:37.862368Z digest=sha256:bd70db851b1d92824e0a432141e3ae3a4e35ed8749468ae35c41ab6f89e47519

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 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-27T06:16:37.393826Z digest=sha256:21318ceccfad3f3518093f9f281fef517a14c0acf35359907f58928228b5731f

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 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-26T00:29:50.712248Z digest=sha256:72ad133d5011b481fb3dd4383260d58366172cea770c262a25403792b76b428e

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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