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Paper Citation Record · LEDGER

Mean-Field Approximation to Gaussian-Softmax Integral with Application to Uncertainty Estimation

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2006.07584.

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

pith.paper-citation-record.v1
2006.07584 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:02:18.904362Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T21:10:09.055816Z

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 7a077d74-546e-4a63-812d-5388fed6a51c · inbound

Can Bayesian Neural Networks Make Confident Predictions? cites this paper.

Can Bayesian Neural Networks Make Confident Predictions? Mean-Field Approximation to Gaussian-Softmax Integral with Application to Uncertainty Estimation

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-10T18:02:18.904362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:02:18.904362Z digest=sha256:c8c7ff0d42c8ebc6d6dcf8598fa64cef92e9a6d760ed362e49087805a1df9b28

Observation c3e9d520-7691-4606-ae1b-7622ca0eeba0 · inbound

laplax -- Laplace Approximations with JAX cites this paper.

laplax -- Laplace Approximations with JAX Mean-Field Approximation to Gaussian-Softmax Integral with Application to Uncertainty Estimation

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T15:03:56.663844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:03:56.663844Z digest=sha256:d08ae89e01e7eded49f0ac350e81c8090c7b19f9c7eff557af808a43cf7b3c0e

Observation 94b0061b-04c3-4219-aba4-18039c73d1da · inbound

Differentiable Semantic ID for Generative Recommendation cites this paper.

Differentiable Semantic ID for Generative Recommendation Mean-Field Approximation to Gaussian-Softmax Integral with Application to Uncertainty Estimation

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-16T10:57:46.396922Z

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.

source=pdf_text observed=2026-05-16T10:54:59.933205Z digest=sha256:ee3c7ada14fc9ec86fd7417fd26773cbf583b91e847a5f78784ecd80b308d7c9

Observation 83d67ae7-e17d-404a-a0d9-51221d5e38da · inbound

Calibrated Sampling-Free Uncertainty Estimation in Bayesian Deep Learning cites this paper.

Calibrated Sampling-Free Uncertainty Estimation in Bayesian Deep Learning Mean-Field Approximation to Gaussian-Softmax Integral with Application to Uncertainty Estimation

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-07-03T17:28:44.704501Z

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.

source=pdf_text observed=2026-06-27T04:04:33.390770Z digest=sha256:34152fc12738c69fdd3e6b9961a753fd42bb2ab1ea4a84a80d236776ca544689

Observation 9ab12369-5ea3-44f7-b1a0-848087f493ec · inbound

Studentized Cheap Bootstrap: Achieving Higher-Order Coverage Accuracy with Low Computation cites this paper.

Studentized Cheap Bootstrap: Achieving Higher-Order Coverage Accuracy with Low Computation Mean-Field Approximation to Gaussian-Softmax Integral with Application to Uncertainty Estimation

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-07-04T21:10:09.057165Z

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.

source=pdf_text observed=2026-06-25T19:04:13.125335Z digest=sha256:cca9dfb6e294fb4fb073b192c6a8984ec0a18f8d88e61a6fe5f2c0e704ada2f6