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Paper Citation Record · LEDGER

El0ps: An Exact L0-regularized Problems Solver

As of 8 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:56:59.345825Z digest=sha256:a785c577500adc712b26aaf7dfac73a5ca6f4e877921f37ae0c6217b47365c04

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:56:59.350411Z digest=sha256:6cf48f19fb0606290f2138b49c54360a68579edc02306a630cfb1474fb32605d

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:56:59.354207Z digest=sha256:ab213c991a9af180556bbb41e478ef037b49a781122f0bdd3f6a0a50fabebf2b

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:56:59.357929Z digest=sha256:7b2f1f4e4f9f97a642e1b728dc6ffe4a17f7232ef446985b7afbcb5b872a43a7

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:56:59.362188Z digest=sha256:f71daa49b63514114d1207eda21ee4c8b0e4868b6c80a0d754f99f9a35518508

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:56:59.366179Z digest=sha256:ed38395dc0c8d3360e8db5400bdf27674fae6c09393b33ab7e4ea06e7616f4ad

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:56:59.370203Z digest=sha256:8e068fda2370880dc6c9571c4588b696b00a467cf31a0f0c0e0b5645c63da48a

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:56:59.374071Z digest=sha256:fb3c3f9c3bf0e6775598ab36a2ff5c5358e28c9a7bf75ddf27e637d75fc34bc7

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:56:59.377921Z digest=sha256:27c42525fa4a5444b28f65753963c3e194b2a80186d86336f5fd6bf4520f9739

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:56:59.381477Z digest=sha256:6b5353dc4c285559718fe278bf59a6eb1653aaf01e0ecc2713951a2af515e42f

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:56:59.385026Z digest=sha256:77725f546bcb9e56e64cedd14c3f01da9a10db330202771b1ec2375d8b88a3a3

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:56:59.388851Z digest=sha256:e4ac5f79a6b7a4474cdc07fcee08f979c3b8585c345a766fc5cf220e3918c9e6

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:56:59.392636Z digest=sha256:aee928a64417cdc2798fc40319ee99d838af8ca8ab4f835dc4c1725f7869683f

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:56:59.396397Z digest=sha256:7a8ddb6eea1b7d36f38a683d234a9e1173bf7650c847bff52ef32fda40d2d1a5

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:56:59.400153Z digest=sha256:4a88d3804b45fd9e084c744c81ef732c54ba2f262867ed4daa965311e731fbad

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.

source=arxiv_source observed=2026-08-07T10:56:59.404143Z digest=sha256:7b90cfcfa7c184a5d9b284c9926d23e9f38c43bc6e654561e0eba60e94c83a82

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:56:59.407951Z digest=sha256:c045ea5ddffff45cd00211559702c03622ea6e862fd52d6e53305ca79bbd00db

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:56:59.411739Z digest=sha256:6fe0d5e7c65533738b3e1f3e210aa450382b391352f23731470222776c81edba

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:56:59.415694Z digest=sha256:3b317cb778b63c833a69e690d58a2cb18707ccadb7559bff48a64376c56027e6

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:56:59.419496Z digest=sha256:5cb5d61d8054dde336d7685bee873227eeec982b90ab300a4f47c5208d385715

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:56:59.423746Z digest=sha256:b848f677158ea6cf56a0b1c10a81efe5dbf91cbe1ce8662c031eaf4e5a7b1762

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.

source=arxiv_source observed=2026-08-07T10:56:59.427587Z digest=sha256:4663b34989ae2ad2d2ce7ba7d26a4057f005adb1a3e484f9121a9f9cccc669ef

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:56:59.431592Z digest=sha256:9d7228cd0099ab0a0f2c73d3e7a184710e91ec3fbc9b4ecff46fd348c7bd8d2d

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.

source=arxiv_source observed=2026-08-07T10:56:59.436270Z digest=sha256:a0f105f79b6c39abf54d9de5ef03effedaf2e944fd7446c3767c5bb906058b6b

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:56:59.440215Z digest=sha256:23665953f3cd56f3878a5787c9239a858dd55de81133570e9d44125ed23711af

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:56:59.444187Z digest=sha256:4496151f130398c66c9d45410d19e12d1955e1304eb4e51f927737f9bf0dc4b6

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:56:59.448202Z digest=sha256:faef5cc84f56d4de6aeb1fc23b43d268945d568d57bd1417edcc66e607291299

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:56:59.452337Z digest=sha256:22c53d3f13cc08fad95edfc8cc4092fcd8be6d4ccf98bfd5629a623da833fa4d

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:56:59.456530Z digest=sha256:badf632882ad8fe2df7112029b269698286206f284df9cb182bb025ab00852fc

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:56:59.460349Z digest=sha256:b266cb769569cb52677ec25dcfca56e7e33dc9e3a03518e5053c89328cd6825a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T13:36:45.131766Z digest=sha256:2020dfbbd6a2edafe7efd2e997aae10a637d7651780888969557ab2aa4b194ba