Paper Citation Record · LEDGER

El0ps: An Exact L0-regularized Problems Solver

As of 7 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 1 inbound Pith citation observation for arXiv:2506.06373.

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

pith.paper-citation-record.v1
2506.06373 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:56:59.460349Z

measured 31 of 31 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T13:36:45.131766Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T00:06:24.099116Z

Reference resolution

30 of 30 outbound references displayed

verified exact0
verified fuzzy27
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f443b35c-b23c-407f-a9c3-b01d2efdf55e · outbound

This paper cites Convex analysis and monotone operator theory in Hilbert spaces.

El0ps: An Exact L0-regularized Problems Solver Convex analysis and monotone operator theory in Hilbert spaces

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:56:59.794985Z

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.

Observation 5b85759b-2e89-42a9-a722-d02ff7dd46bf · outbound

This paper cites Beyond l1: Faster and better sparse models with skglm.

El0ps: An Exact L0-regularized Problems Solver Beyond l1: Faster and better sparse models with skglm

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:56:59.783584Z

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.

Observation 75cc3685-b81e-4270-8d80-679aad239f0a · outbound

This paper cites A unified approach to mixed-integer optimization problems with logical constraints.

El0ps: An Exact L0-regularized Problems Solver A unified approach to mixed-integer optimization problems with logical constraints

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:56:59.773141Z

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.

Observation 9047ead5-6bd7-4e42-aa5e-883b2d62ec4d · outbound

This paper cites Sparse classification: a scalable discrete optimization perspective.

El0ps: An Exact L0-regularized Problems Solver Sparse classification: a scalable discrete optimization perspective

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:56:59.762203Z

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.

Observation c3bd6453-dcd4-4798-b221-41c5a24ccabe · outbound

This paper cites Solving large-scale sparse pca to certifiable (near) optimality.

El0ps: An Exact L0-regularized Problems Solver Solving large-scale sparse pca to certifiable (near) optimality

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:56:59.751556Z

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.

Observation 8a327fdf-51a4-4605-adc0-d1c2297ac809 · outbound

This paper cites Learning sparse classifiers: Continuous and mixed integer optimization perspectives.

El0ps: An Exact L0-regularized Problems Solver Learning sparse classifiers: Continuous and mixed integer optimization perspectives

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:56:59.741232Z

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.

Observation 1034e5a7-2ed4-4aaf-aab1-e66542f89c94 · outbound

This paper cites A generic branch-and-bound algorithm for l0-penalized problems.

El0ps: An Exact L0-regularized Problems Solver A generic branch-and-bound algorithm for l0-penalized problems

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:56:59.730733Z

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.

Observation a4d69b7d-401e-4fcb-aa47-b46fa04456b7 · outbound

This paper cites Regularization paths for generalized linear models via coordinate descent.

El0ps: An Exact L0-regularized Problems Solver Regularization paths for generalized linear models via coordinate descent

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:56:59.719980Z

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.

Observation 8cd32b61-9c00-42cc-979d-60a5af4cf47f · outbound

This paper cites https://github.com/ghackebeil/pybnb, 2019.

El0ps: An Exact L0-regularized Problems Solver https://github.com/ghackebeil/pybnb, 2019

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:56:59.709680Z

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.

Observation cc9fed02-df41-4cf0-bd48-3f87ab2e858d · outbound

This paper cites Gurobi optimizer reference manual, 2024.

El0ps: An Exact L0-regularized Problems Solver Gurobi optimizer reference manual, 2024

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:56:59.699053Z

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.

Observation a2ad243f-5095-49cc-b162-eb05065f1daa · outbound

This paper cites A new branch-and-bound pruning framework for l0-regularized problems.

El0ps: An Exact L0-regularized Problems Solver A new branch-and-bound pruning framework for l0-regularized problems

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:56:59.687954Z

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.

Observation 407b0ace-2bda-4d71-bf26-3c659a1e7e2a · outbound

This paper cites Harris, K.

El0ps: An Exact L0-regularized Problems Solver Harris, K

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:56:59.677242Z

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.

Observation 3c8342d6-e3bc-4cfd-88e0-d464419f406d · outbound

This paper cites Sparse regression at scale: Branch-and-bound rooted in first-order optimization.

El0ps: An Exact L0-regularized Problems Solver Sparse regression at scale: Branch-and-bound rooted in first-order optimization

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:56:59.666910Z

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.

Observation cde13d79-8216-48a9-b6ea-34c8bea32d75 · outbound

This paper cites L0learn: A scalable package for sparse learning using l0 regularization.

El0ps: An Exact L0-regularized Problems Solver L0learn: A scalable package for sparse learning using l0 regularization

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:56:59.656402Z

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.

Observation df4ded16-3178-4b47-b099-444ea2b9274b · outbound

This paper cites Blitz: A principled meta-algorithm for scaling sparse optimization.

El0ps: An Exact L0-regularized Problems Solver Blitz: A principled meta-algorithm for scaling sparse optimization

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:56:59.645570Z

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.

Observation efec1fcb-f86f-4efd-830c-08a6dab249e7 · outbound

This paper cites Numba: A llvm-based python jit compiler.

El0ps: An Exact L0-regularized Problems Solver Numba: A llvm-based python jit compiler

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T10:56:59.404143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee0251e4-9cae-4c11-920d-36adb0ba4ee4 · outbound

This paper cites Branch-and-bound methods: A survey.

El0ps: An Exact L0-regularized Problems Solver Branch-and-bound methods: A survey

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:56:59.628187Z

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.

Observation b87813cc-71a7-48d9-bc09-dd4fa3098fa2 · outbound

This paper cites Falcon: Flop-aware combinatorial optimization for neural network pruning.

El0ps: An Exact L0-regularized Problems Solver Falcon: Flop-aware combinatorial optimization for neural network pruning

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:56:59.617479Z

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.

Observation 6b57ff7c-f3f8-4931-81e0-6a9c9431553c · outbound

This paper cites Sparse branch and bound for exact optimization of l0-norm penalized least squares.

El0ps: An Exact L0-regularized Problems Solver Sparse branch and bound for exact optimization of l0-norm penalized least squares

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:56:59.607018Z

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.

Observation e34194cf-4290-4108-b6cb-dca34dcc196a · outbound

This paper cites Global optimization for sparse solution of least squares problems.

El0ps: An Exact L0-regularized Problems Solver Global optimization for sparse solution of least squares problems

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:56:59.596955Z

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.

Observation 5297d192-4686-4a5d-bac1-bf52a3ce8d65 · outbound

This paper cites Screening rules and its complexity for active set identification.

El0ps: An Exact L0-regularized Problems Solver Screening rules and its complexity for active set identification

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:56:59.585820Z

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.

Observation 2aa5226c-702e-4617-bd76-87a60d969cae · outbound

This paper cites Scikit-learn: Machine learning in python.

El0ps: An Exact L0-regularized Problems Solver Scikit-learn: Machine learning in python

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T10:56:59.427587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb6c5b79-b968-48f3-b338-cbb314adf926 · outbound

This paper cites Techniques for accelerating branch-and-bound algorithms dedicated to sparse optimization.

El0ps: An Exact L0-regularized Problems Solver Techniques for accelerating branch-and-bound algorithms dedicated to sparse optimization

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:56:59.568749Z

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.

Observation befb9ecd-22c6-47c5-aea2-92ce4eb7311a · outbound

This paper cites Estimating the dimension of a model.

El0ps: An Exact L0-regularized Problems Solver Estimating the dimension of a model

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T10:56:59.436270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7de6261b-cd70-4722-9a83-37773c578737 · outbound

This paper cites From bernoulli--gaussian deconvolution to sparse signal restoration.

El0ps: An Exact L0-regularized Problems Solver From bernoulli--gaussian deconvolution to sparse signal restoration

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:56:59.550429Z

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.

Observation 74102b45-cf2f-4183-9f58-8d1bc5aef246 · outbound

This paper cites Cardinality minimization, constraints, and regularization: a survey.

El0ps: An Exact L0-regularized Problems Solver Cardinality minimization, constraints, and regularization: a survey

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:56:59.537091Z

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.

Observation 13ae2cfd-5777-4de7-898a-53a03b322b8a · outbound

This paper cites One to beat them all:"ryu"--a unifying framework for the construction of safe balls.

El0ps: An Exact L0-regularized Problems Solver One to beat them all:"ryu"--a unifying framework for the construction of safe balls

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:56:59.526590Z

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.

Observation 7e6466c8-db6e-4455-9043-10cea11aee3c · outbound

This paper cites Computational methods for sparse solution of linear inverse problems.

El0ps: An Exact L0-regularized Problems Solver Computational methods for sparse solution of linear inverse problems

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:56:59.515347Z

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.

Observation 6a8378d2-36fe-4790-a8ec-d6f22a6871e3 · outbound

This paper cites van Rijn, Bernd Bischl, and Luis Torgo.

El0ps: An Exact L0-regularized Problems Solver van Rijn, Bernd Bischl, and Luis Torgo

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:56:59.504506Z

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.

Observation b0643d2e-c7f9-4ef0-ad50-954a3add004e · outbound

This paper cites Coordinate descent algorithms.

El0ps: An Exact L0-regularized Problems Solver Coordinate descent algorithms

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:56:59.492372Z

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.

Pith citing papers

Observation 6bf87033-cecd-45c2-8b8a-931a99f2180b · inbound

Relax and Follow: L0-Path Computation with L0-Bregman Relaxations cites this paper.

Relax and Follow: L0-Path Computation with L0-Bregman Relaxations El0ps: An Exact L0-regularized Problems Solver

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-07-02T00:06:24.101765Z

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.