Pith. sign in

Paper Citation Record · LEDGER

LLM-Lasso: A Robust Framework for Domain-Informed Feature Selection and Regularization

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2502.10648.

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

pith.paper-citation-record.v1
2502.10648 v3

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

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T05:32:59.672327Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation be4bbc4e-f6bb-46b6-bf79-5c962d08fbae · inbound

Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data cites this paper.

Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data LLM-Lasso: A Robust Framework for Domain-Informed Feature Selection and Regularization

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-03T05:32:59.672327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:32:59.672327Z digest=sha256:96f1cbb44e5f742dd80f7e4c5d9653556d2a7bc5cbb04879ab80fc85e38215ee

Observation 1659bd71-3f52-4540-ac90-d2a7e35579cf · inbound

Mamba-SSM with LLM Reasoning for Feature Selection: Faithfulness-Aware Biomarker Discovery cites this paper.

Mamba-SSM with LLM Reasoning for Feature Selection: Faithfulness-Aware Biomarker Discovery LLM-Lasso: A Robust Framework for Domain-Informed Feature Selection and Regularization

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T11:30:18.707041Z

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=2026-05-10T11:28:04.724476Z digest=sha256:728aa1b48fd9d0f6cb0698e27364a968f47c029aa53a9786843f46772eb50778

Observation a3eab207-04c6-40f9-b87b-6caca01f3613 · inbound

LePREC: Reasoning as Classification over Structured Factors for Assessing Relevance of Legal Issues cites this paper.

LePREC: Reasoning as Classification over Structured Factors for Assessing Relevance of Legal Issues LLM-Lasso: A Robust Framework for Domain-Informed Feature Selection and Regularization

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:11:10.376161Z

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=2026-05-10T02:13:02.913607Z digest=sha256:67c614844f3eeaf19f1d410e5e768ad4ea66c90fd50da9f88e84cb0d0ad41d89

Observation f6d8bed4-eb3b-4aff-8db8-2576d39f8ac6 · inbound

A Mathematical Optimization Approach for Expert-Informed Bayesian Best Subset Selection cites this paper.

A Mathematical Optimization Approach for Expert-Informed Bayesian Best Subset Selection LLM-Lasso: A Robust Framework for Domain-Informed Feature Selection and Regularization

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T07:44:21.087160Z

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=2026-06-30T07:38:00.037294Z digest=sha256:6b82122331d255c083fd1c2873b49f47d58dffb7c843892730f9c1c6ceb72fca