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Paper Citation Record · LEDGER

Semi-Implicit Variational Inference via Kernelized Path Gradient Descent

As of 8 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2506.05088.

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

pith.paper-citation-record.v1
2506.05088 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:35:31.557419Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

16 of 16 outbound references displayed

  • verified exact0
  • verified fuzzy13
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f5706364-b9f2-49e6-8b65-f1169334db19 · outbound

This paper cites Kernel semi-implicit variational inference.

Semi-Implicit Variational Inference via Kernelized Path Gradient Descent Kernel semi-implicit variational inference

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:35:33.705607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:35:29.793923Z digest=sha256:4ef13ce134400b2ca8a834170908055c433dcbab09e69ec972c038c1fc5b9057

Observation 1e339ee1-8eed-4ad2-92e4-ff2b4486a8fd · outbound

This paper cites A stein variational newton method.

Semi-Implicit Variational Inference via Kernelized Path Gradient Descent A stein variational newton method

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:35:33.562610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:35:29.842033Z digest=sha256:f525f65e71a5cad581db059cfcb04d0002d0b027e3bb63649e46c4bb1c993681

Observation 1eb7cea9-7b63-4200-a288-2bb286f87e4d · outbound

This paper cites Uci machine learning repository, 2017.

Semi-Implicit Variational Inference via Kernelized Path Gradient Descent Uci machine learning repository, 2017

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:35:33.417898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:35:29.903958Z digest=sha256:cee3f0ec7775c03511820722173679c37d416955764a02db1423df1e29bd5e85

Observation a7d99f87-33bf-4957-92b8-6f3dd4029331 · outbound

This paper cites Learning to draw samples with amortized stein variational gradient descent.

Semi-Implicit Variational Inference via Kernelized Path Gradient Descent Learning to draw samples with amortized stein variational gradient descent

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:35:33.275722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:35:30.075908Z digest=sha256:541acbc58fddfc2464b1be7469017b6911e7ef51fdf36c98325bf5719bb48025

Observation e1289fe6-368f-4794-8cdd-cbff82845f0a · outbound

This paper cites Auto-Encoding Variational Bayes.

Semi-Implicit Variational Inference via Kernelized Path Gradient Descent Auto-Encoding Variational Bayes

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T10:35:30.215028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:35:30.215028Z digest=sha256:9c5dacfe72ce0a5a744aaf08332233360f5257e0bd41c27ec83d0ee11e583001

Observation 42c19441-2529-4ba1-a0cf-30194f3b47db · outbound

This paper cites an unresolved cited work.

Semi-Implicit Variational Inference via Kernelized Path Gradient Descent Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:35:33.144257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:35:30.306519Z digest=sha256:1a0e8179a8de5367fc01f71c566cf198f495db8065fcd510b4f2429b1370b130

Observation eb02c1ad-26c7-466e-b316-d7526ae0b31a · outbound

This paper cites Particle semi-implicit variational inference.

Semi-Implicit Variational Inference via Kernelized Path Gradient Descent Particle semi-implicit variational inference

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:35:32.951525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:35:30.451903Z digest=sha256:d058d2a444e78893f29e445af360fe7c79fba444b5975dcbe1cda6466a0ac335

Observation 72404610-79a3-462b-9d84-3210c61d22c5 · outbound

This paper cites Stein variational gradient descent: A general purpose bayesian inference algorithm.

Semi-Implicit Variational Inference via Kernelized Path Gradient Descent Stein variational gradient descent: A general purpose bayesian inference algorithm

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:35:32.778075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:35:30.570638Z digest=sha256:ae6c40c05ff97ce72b76ea27a7c9d0637d9a6197ca1f682b03187e67f02cc8da

Observation 33a2a39e-6565-4c58-a11b-7b3b3d734ae5 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

Semi-Implicit Variational Inference via Kernelized Path Gradient Descent Pytorch: An imperative style, high-performance deep learning library

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T10:35:30.661356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:35:30.661356Z digest=sha256:42d731b70b8240ce1f73787723e799fcfea8254e693c32fa0fa158b44d4d2857

Observation 5e0b6fa6-2d09-44ec-84e7-6886991201cd · outbound

This paper cites Variational inference with normalizing flows.

Semi-Implicit Variational Inference via Kernelized Path Gradient Descent Variational inference with normalizing flows

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:35:32.606032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:35:30.783539Z digest=sha256:d1d3d4342300097d45939a8f42533a5b158eb716b0e030ce03819cd1c723cf8b

Observation 6f3607e3-81c6-45ed-8096-4d60eadddc36 · outbound

This paper cites Sticking the landing: Simple, lower-variance gradient estimators for variational inference.

Semi-Implicit Variational Inference via Kernelized Path Gradient Descent Sticking the landing: Simple, lower-variance gradient estimators for variational inference

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:35:32.459396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:35:30.880146Z digest=sha256:5312292599e907aa93d07bf54986a0982e0237124df1146db2aab345b8428728

Observation 36eda89f-86aa-4f90-9b53-29f4a07710ec · outbound

This paper cites Importance weighted hierarchical variational infer- ence.

Semi-Implicit Variational Inference via Kernelized Path Gradient Descent Importance weighted hierarchical variational infer- ence

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:35:32.305199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:35:31.054554Z digest=sha256:bf5f29ea84eeed68e6980f2438169a0d075283087729972f5b19be502e12b575

Observation ef41724f-c9ba-4eff-83ca-c53ce090a1bd · outbound

This paper cites Titsias and Francisco Ruiz.

Semi-Implicit Variational Inference via Kernelized Path Gradient Descent Titsias and Francisco Ruiz

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:35:32.126702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:35:31.150105Z digest=sha256:b3efcdca2b6f79e3a0b524b5c5803728d666b3978866cf84cc7763135f5f69bc

Observation 3be2f902-1866-4d3e-b5d3-dd5e6beae04d · outbound

This paper cites Bayesian learning via stochastic gradient langevin dynamics.

Semi-Implicit Variational Inference via Kernelized Path Gradient Descent Bayesian learning via stochastic gradient langevin dynamics

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:35:31.997143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:35:31.289081Z digest=sha256:da0d23b15d34ee9ec3e2c270c18de556073415927ffee2a0a6ef8dd77211e7e3

Observation e4cc814c-eea3-497a-946d-197e3038ec43 · outbound

This paper cites Semi-implicit variational inference.

Semi-Implicit Variational Inference via Kernelized Path Gradient Descent Semi-implicit variational inference

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:35:31.848305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:35:31.418500Z digest=sha256:73636889e1019cb2ebf0e3c1d5a84e609258ad8434e82e8e2e172cb19388e041

Observation 3cf6dcd2-a28b-44cc-a9e1-7c531cc43907 · outbound

This paper cites Semi-implicit variational inference via score matching.

Semi-Implicit Variational Inference via Kernelized Path Gradient Descent Semi-implicit variational inference via score matching

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:35:31.704961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:35:31.557419Z digest=sha256:b01761bc2a90123bcf8f84caa204759f9f6a6e01f7554a70a4fe6516eea90561

Pith citing papers

No inbound Pith citation observations are available.