Paper Citation Record · LEDGER

A Meta-Learning Approach to Bayesian Causal Discovery

As of 18 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 4 inbound Pith citation observations for arXiv:2412.16577.

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

pith.paper-citation-record.v1
2412.16577 v3

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:32:39.628931Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:39:07.683181Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

18 of 18 outbound references displayed

verified exact0
verified fuzzy7
unresolved10
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation be27733e-0011-4054-a1be-e4e470c16e48 · outbound

This paper cites an unresolved cited work.

A Meta-Learning Approach to Bayesian Causal Discovery Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-11T10:32:39.864040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 175aec23-d931-4ff4-b228-1dccfe0712f3 · outbound

This paper cites Supervised Whole DAG Causal Discovery.

A Meta-Learning Approach to Bayesian Causal Discovery Supervised Whole DAG Causal Discovery

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:39.558712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 317673c7-5b4c-4a75-9372-d587daea0056 · outbound

This paper cites an unresolved cited work.

A Meta-Learning Approach to Bayesian Causal Discovery Unresolved cited work

Reference 6

Resolution: malformed identifier; raw_fallback, observed 2026-08-11T10:32:39.815892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b2254518-3847-4697-9067-dae041b285e6 · outbound

This paper cites The differen ces between our model BCNP and the other Bayesian meta-learning models can be seen in table.

A Meta-Learning Approach to Bayesian Causal Discovery The differen ces between our model BCNP and the other Bayesian meta-learning models can be seen in table

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:32:39.879676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 55f12b92-8d86-47be-a863-24279ed09dc1 · outbound

This paper cites To deal with this, during testing, we add constants to the log probability from 10−8 to 10−2 and pick the highest resultant log probability.

A Meta-Learning Approach to Bayesian Causal Discovery To deal with this, during testing, we add constants to the log probability from 10−8 to 10−2 and pick the highest resultant log probability

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:32:39.847521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation caac5d8f-5e7e-41b4-852f-c21d97dc9fd0 · outbound

This paper cites A VICI directly decodes from the summary rep resentation.

A Meta-Learning Approach to Bayesian Causal Discovery A VICI directly decodes from the summary rep resentation

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:32:39.920531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9f7711bf-f672-4226-94e3-4bdfa0a0966c · outbound

This paper cites an unresolved cited work.

A Meta-Learning Approach to Bayesian Causal Discovery Unresolved cited work

Reference 60

Resolution: unresolved; raw_fallback, observed 2026-08-11T10:32:39.906125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a25cbdca-e6c9-41e9-9dc7-058d37f66071 · outbound

This paper cites an unresolved cited work.

A Meta-Learning Approach to Bayesian Causal Discovery Unresolved cited work

Reference 1960

Resolution: unresolved; raw_fallback, observed 2026-08-11T10:32:39.832726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 579103f0-cd8c-4634-9586-458fbeda517e · outbound

This paper cites Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation.

A Meta-Learning Approach to Bayesian Causal Discovery Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 1999

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:39.542543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 759499a0-8c98-4878-b55b-dbf2d92e7dbb · outbound

This paper cites Neural Processes.

A Meta-Learning Approach to Bayesian Causal Discovery Neural Processes

Reference 2000

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:39.548325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 050483a2-2a29-4491-b400-94782f92b471 · outbound

This paper cites Differentiable multi-target causal bayesia n experimental design.

A Meta-Learning Approach to Bayesian Causal Discovery Differentiable multi-target causal bayesia n experimental design

Reference 2010

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:32:39.951957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 31365928-3a63-446b-8c3c-70850bf44c24 · outbound

This paper cites We use a batch size of 32 for A VICI and BCNP , and a batch size of8 for CSIvA.

A Meta-Learning Approach to Bayesian Causal Discovery We use a batch size of 32 for A VICI and BCNP , and a batch size of8 for CSIvA

Reference 2014

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:32:39.795814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3d780652-8d27-4320-b862-479b04fbe21b · outbound

This paper cites Attention Is All You Need.

A Meta-Learning Approach to Bayesian Causal Discovery Attention Is All You Need

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:39.569902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ff66884-2c21-49f3-8141-c589c097514d · outbound

This paper cites an unresolved cited work.

A Meta-Learning Approach to Bayesian Causal Discovery Unresolved cited work

Reference 2018

Resolution: unresolved; raw_fallback, observed 2026-08-11T10:32:39.934559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9ebbc7cf-d4f7-4df3-8e69-46bb7b2fbc90 · outbound

This paper cites Variational Causal Networks: Approximate Bayesian Inference over Causal Structures.

A Meta-Learning Approach to Bayesian Causal Discovery Variational Causal Networks: Approximate Bayesian Inference over Causal Structures

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:39.536455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9bb7dd17-1cbb-46d9-a703-4fef11f545ba · outbound

This paper cites Adam: A Method for Stochastic Optimization.

A Meta-Learning Approach to Bayesian Causal Discovery Adam: A Method for Stochastic Optimization

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-11T10:32:39.553427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e8aebbd-5c31-4d2a-be87-6eac74e96e2b · outbound

This paper cites Here, the authors provide diff erent linear and non-linear estimators.

A Meta-Learning Approach to Bayesian Causal Discovery Here, the authors provide diff erent linear and non-linear estimators

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:32:39.892741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4a53b693-0b52-4ad4-9ec2-bb9d2b4b5c00 · outbound

This paper cites C A DDITIONAL RESULTS C.1 R ESULTS ON DATA FROM BAYESIAN CAUSAL MODELS In this section we present the full results for each of the function type and graph density (section 4.2).

A Meta-Learning Approach to Bayesian Causal Discovery C A DDITIONAL RESULTS C.1 R ESULTS ON DATA FROM BAYESIAN CAUSAL MODELS In this section we present the full results for each of the function type and graph density (section 4.2)

Reference 2048

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:32:39.780246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

Observation 1aca149e-cffc-4975-8273-ccbf7e20f36e · inbound

Amortized Inference of Causal Models via Conditional Fixed-Point Iterations cites this paper.

Amortized Inference of Causal Models via Conditional Fixed-Point Iterations A Meta-Learning Approach to Bayesian Causal Discovery

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-23T19:33:22.430162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e846d319-048f-4811-80de-36d19ec7d144 · inbound

MetaCaDI: A Meta-Learning Framework for Causal Discovery from Multiple Environments with Unknown Interventions cites this paper.

MetaCaDI: A Meta-Learning Framework for Causal Discovery from Multiple Environments with Unknown Interventions A Meta-Learning Approach to Bayesian Causal Discovery

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:44.571003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fce1e128-b02b-438f-8666-b13e6e379ec3 · inbound

TCD-Arena: Assessing Robustness of Time Series Causal Discovery Methods Against Assumption Violations cites this paper.

TCD-Arena: Assessing Robustness of Time Series Causal Discovery Methods Against Assumption Violations A Meta-Learning Approach to Bayesian Causal Discovery

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-08T19:09:03.325483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3ad28293-7872-48ae-937f-58adf1570e62 · inbound

SVI-DAG: A Structured Variational Inference Approach to Bayesian Causal Discovery cites this paper.

SVI-DAG: A Structured Variational Inference Approach to Bayesian Causal Discovery A Meta-Learning Approach to Bayesian Causal Discovery

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T13:39:07.683181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.