Paper Citation Record · LEDGER

Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1206.6380.

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

pith.paper-citation-record.v1
1206.6380 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:39:11.161950Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T08:46:26.450474Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

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 e30ade1e-c653-4bcd-abab-22e55387820a · inbound

Mini-batch Metropolis-Hastings MCMC with Reversible SGLD Proposal cites this paper.

Mini-batch Metropolis-Hastings MCMC with Reversible SGLD Proposal Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-14T14:39:11.161950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d02dddf3-4f0a-4021-b953-c7f56674e6a8 · inbound

Bayesian Inference for Large Scale Image Classification cites this paper.

Bayesian Inference for Large Scale Image Classification Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-14T14:17:03.496398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2c4683a-62de-448d-baad-d57b82da6217 · inbound

Bayesian Inference of Spatially Varying Correlations via the Thresholded Correlation Gaussian Process cites this paper.

Bayesian Inference of Spatially Varying Correlations via the Thresholded Correlation Gaussian Process Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T11:44:42.035314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aefd7a5f-d7b0-4cb7-8d8c-01ef6d27917c · inbound

Bayesian Data Sketching for Varying Coefficient Regression Models cites this paper.

Bayesian Data Sketching for Varying Coefficient Regression Models Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-07T12:14:19.779971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1eb3e434-27fc-48ec-ba10-44fb1261d195 · inbound

MCMC with Adaptive Principal-Component Transformation: Rotation-Invariant Universal Samplers for Bayesian Structural System Identification cites this paper.

MCMC with Adaptive Principal-Component Transformation: Rotation-Invariant Universal Samplers for Bayesian Structural System Identification Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-04T18:08:32.433591Z

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 f6e0a546-5f65-4f5a-bc5e-a96de51eeb4c · inbound

Adaptive Meta-Learning Stochastic Gradient Hamiltonian Monte Carlo Simulation for Bayesian Updating of Structural Dynamic Models cites this paper.

Adaptive Meta-Learning Stochastic Gradient Hamiltonian Monte Carlo Simulation for Bayesian Updating of Structural Dynamic Models Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-04T18:08:32.433591Z

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.