Paper Citation Record · LEDGER

Feature Gradients: Scalable Feature Selection via Discrete Relaxation

As of 21 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 1 inbound Pith citation observation for arXiv:1908.10382.

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

pith.paper-citation-record.v1
1908.10382 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:49:01.974430Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:04:06.366517Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-16T05:04:06.787431Z

Reference resolution

17 of 17 outbound references displayed

verified exact2
verified fuzzy6
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5b3abd41-a45c-439a-a1d5-e678e36631af · outbound

This paper cites Concrete Autoencoders for Differentiable Feature Selection and Reconstruction.

Feature Gradients: Scalable Feature Selection via Discrete Relaxation Concrete Autoencoders for Differentiable Feature Selection and Reconstruction

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-14T10:49:02.086338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a60ffe2a-24d3-4566-9561-416ce1929475 · outbound

This paper cites MISSION: Ultra Large-Scale Feature Selection using Count-Sketches.

Feature Gradients: Scalable Feature Selection via Discrete Relaxation MISSION: Ultra Large-Scale Feature Selection using Count-Sketches

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-14T10:49:02.070268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 942949b6-4858-46d5-a3e9-e012b42087ad · outbound

This paper cites an unresolved cited work.

Feature Gradients: Scalable Feature Selection via Discrete Relaxation Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-14T10:49:02.201190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b6437bf3-27f7-40a4-9b8b-2b4ee9832082 · outbound

This paper cites Guyon and A.

Feature Gradients: Scalable Feature Selection via Discrete Relaxation Guyon and A

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:49:02.188982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation befeffad-6f6c-4632-a3d7-25e9e33415e6 · outbound

This paper cites Categorical Reparameterization with Gumbel-Softmax.

Feature Gradients: Scalable Feature Selection via Discrete Relaxation Categorical Reparameterization with Gumbel-Softmax

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-14T10:49:01.931453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb9cd5b7-6199-4484-ae83-c1bb4b03e941 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Feature Gradients: Scalable Feature Selection via Discrete Relaxation Adam: A Method for Stochastic Optimization

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-14T10:49:01.935671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36952c3a-9256-4d90-be26-b6795c86f772 · outbound

This paper cites Kohavi and G.

Feature Gradients: Scalable Feature Selection via Discrete Relaxation Kohavi and G

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:49:02.177951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e9f718bc-a829-4977-b81a-c0c226a123d3 · outbound

This paper cites Estimating Learnability in the Sublinear Data Regime.

Feature Gradients: Scalable Feature Selection via Discrete Relaxation Estimating Learnability in the Sublinear Data Regime

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-14T10:49:01.943175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a12603b2-1d81-4e39-b37b-faff0e61f022 · outbound

This paper cites DARTS: Differentiable Architecture Search.

Feature Gradients: Scalable Feature Selection via Discrete Relaxation DARTS: Differentiable Architecture Search

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-14T10:49:01.947345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99f68136-a7ad-42e9-a575-5f6139dd391e · outbound

This paper cites The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables.

Feature Gradients: Scalable Feature Selection via Discrete Relaxation The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-14T10:49:01.950810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7aa197c8-1d05-4936-976c-e7c1c0468ff8 · outbound

This paper cites an unresolved cited work.

Feature Gradients: Scalable Feature Selection via Discrete Relaxation Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-14T10:49:02.167077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d8c423e4-3516-48a4-98aa-dac56f2b2c90 · outbound

This paper cites Saeys, I.

Feature Gradients: Scalable Feature Selection via Discrete Relaxation Saeys, I

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:49:02.156086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation de25dd09-ae27-4339-a9d1-9941301b6b7b · outbound

This paper cites an unresolved cited work.

Feature Gradients: Scalable Feature Selection via Discrete Relaxation Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-14T10:49:02.144615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cfd2682b-2f5f-41d3-aac3-eef846a57d2c · outbound

This paper cites Tibshirani.

Feature Gradients: Scalable Feature Selection via Discrete Relaxation Tibshirani

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:49:02.133031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation addb49fe-662d-4134-8821-a50cc51195fb · outbound

This paper cites an unresolved cited work.

Feature Gradients: Scalable Feature Selection via Discrete Relaxation Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-14T10:49:02.120767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 86c7a07f-26bf-4dc4-ae92-ccb38f0ec4d6 · outbound

This paper cites Yu and H.

Feature Gradients: Scalable Feature Selection via Discrete Relaxation Yu and H

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:49:02.109637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b742191f-2785-4175-8309-7cb9b37bcebf · outbound

This paper cites Yu and H.

Feature Gradients: Scalable Feature Selection via Discrete Relaxation Yu and H

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:49:02.098424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

Observation 41a51c02-7713-45da-a87c-c0384f0650ae · inbound

Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead cites this paper.

Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead Feature Gradients: Scalable Feature Selection via Discrete Relaxation

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-16T05:04:06.792703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.