Paper Citation Record · LEDGER

Rao-Blackwellizing the Straight-Through Gumbel-Softmax Gradient Estimator

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2010.04838.

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

pith.paper-citation-record.v1
2010.04838 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:56:45.162739Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T00:25:50.038983Z

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 3864810a-85d2-4c39-821c-3a4050639e26 · inbound

Scalable Out-of-distribution Robustness in the Presence of Unobserved Confounders cites this paper.

Scalable Out-of-distribution Robustness in the Presence of Unobserved Confounders Rao-Blackwellizing the Straight-Through Gumbel-Softmax Gradient Estimator

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T05:56:45.162739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa71bd69-c2cd-4599-9b58-7e3fe0ecffc6 · inbound

A Principled Bayesian Framework for Training Binary and Spiking Neural Networks cites this paper.

A Principled Bayesian Framework for Training Binary and Spiking Neural Networks Rao-Blackwellizing the Straight-Through Gumbel-Softmax Gradient Estimator

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T14:45:12.559983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07715636-85fc-4a84-a2de-75d54bd9d96a · inbound

Beyond Discreteness: Sample Complexity Analysis of Straight-Through Estimator for 1-bit Quantization cites this paper.

Beyond Discreteness: Sample Complexity Analysis of Straight-Through Estimator for 1-bit Quantization Rao-Blackwellizing the Straight-Through Gumbel-Softmax Gradient Estimator

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T14:42:13.065399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ee5dd43-4fd7-4fe0-8e59-2bc0b5d5442b · inbound

The Theorems of Dr. David Blackwell and Their Contributions to Artificial Intelligence cites this paper.

The Theorems of Dr. David Blackwell and Their Contributions to Artificial Intelligence Rao-Blackwellizing the Straight-Through Gumbel-Softmax Gradient Estimator

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:25:50.041722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.