Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T09:17:18.180681Z
Paper Citation Record · LEDGER
As of 19 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 1 inbound Pith citation observation for arXiv:2607.19376.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T09:17:18.180681Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T04:26:52.616368Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-14T04:26:52.804893Z
30 of 30 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 382a34ad-2906-4be7-bd24-d4217c96f9e2 · outbound
Refnd: Preventing Data Leakage in Relational Datasets Do ImageNet Classifiers Generalize to ImageNet?,
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9aae220a-5115-4d7a-bc98-04324f7c009c · outbound
Refnd: Preventing Data Leakage in Relational Datasets Hastie, R
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f14448c1-b3d4-4270-9e32-7c769915cc2f · outbound
Refnd: Preventing Data Leakage in Relational Datasets Cracking the black box of deep sequence-based protein–protein interaction prediction,
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a115d641-482d-4d1e-8d12-897b80991ad1 · outbound
Refnd: Preventing Data Leakage in Relational Datasets Leakage in data mining: Formulation, detection, and avoidance,
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3f395f60-962e-4574-8cf8-19b435cc2957 · outbound
Refnd: Preventing Data Leakage in Relational Datasets Leakage and the reproducibility crisis in machine- learning-based science,
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4e256359-ecec-4d7a-9717-a3b71703a2fe · outbound
Refnd: Preventing Data Leakage in Relational Datasets REFORMS: Consensus-based Recommendations for Machine-learning- based Science,
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9bb06874-67c8-4bae-98e3-1692990e5ab6 · outbound
Refnd: Preventing Data Leakage in Relational Datasets Cd-hit: a fast program for clustering and comparing large sets of protein or nucleotide sequences,
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 3a1503fb-0e24-4d6a-8ed6-db5fe936d031 · outbound
Refnd: Preventing Data Leakage in Relational Datasets Effect of dataset partitioning strategies for evaluating out-of-distribution generalisation for predictive models in biochem - istry
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 67881109-731f-4998-8b68-027345b54f01 · outbound
Refnd: Preventing Data Leakage in Relational Datasets Mechanisms of protein evolution,
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ade35ff1-56f6-496f-a403-7f025666978a · outbound
Refnd: Preventing Data Leakage in Relational Datasets An efficient algorithm for large-scale detection of protein families,
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 848a08c6-b125-4830-86bc-8c25b799dac1 · outbound
Refnd: Preventing Data Leakage in Relational Datasets The Properties of Known Drugs. 1. Molecular Frameworks,
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9cdad9d1-b389-4524-86a7-8ab6e71b1d10 · outbound
Refnd: Preventing Data Leakage in Relational Datasets Matched Molecular Pair Analysis in Drug Discovery: Methods and Recent Applications,
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 8b56a6d2-2fb8-49e1-8022-79ef45cf14fe · outbound
Refnd: Preventing Data Leakage in Relational Datasets MoleculeNet: a benchmark for molecular machine learning,
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e756cfd6-371d-4711-ba53-5ae834615e77 · outbound
Refnd: Preventing Data Leakage in Relational Datasets QMAP: A Benchmark for Standardized Evaluation of Antimicrobial Peptide MIC and Hemolytic Activity Regression,
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d261f310-ec6e-4bc9-8c4a-4618d85365d4 · outbound
Refnd: Preventing Data Leakage in Relational Datasets DBAASP v3: database of antimicrobial/cytotoxic activity and structure of peptides as a resource for development of new therapeutics,
Reference 16
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 42cbd8b1-7e00-4834-8e04-aeb69d4a9347 · outbound
Refnd: Preventing Data Leakage in Relational Datasets Data splitting to avoid information leakage with DataSAIL,
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b2f9f296-1e28-4f17-8bcd-87f0d3dd7456 · outbound
Refnd: Preventing Data Leakage in Relational Datasets Lo-Hi: Practical ML Drug Discovery Benchmark,
Reference 18
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b6c7f106-0758-40a2-8f51-241460979847 · outbound
Refnd: Preventing Data Leakage in Relational Datasets GraphPart: homology partitioning for biological sequence analysis,
Reference 19
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 92b45de0-e250-4d2c-bafb-ca4d819ace6d · outbound
Refnd: Preventing Data Leakage in Relational Datasets AutoPeptideML: a study on how to build more trustworthy peptide bioactivity predictors,
Reference 20
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 41bd7c11-0f0e-432a-99b0-8b6bc8a014b6 · outbound
Refnd: Preventing Data Leakage in Relational Datasets SpanSeq: similarity-based sequence data splitting method for improved development and assessment of deep learning projects,
Reference 21
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c795d991-2a5f-411a-a557-fb8d559c044f · outbound
Refnd: Preventing Data Leakage in Relational Datasets A density-based algorithm for discovering clusters in large spatial databases with noise,
Reference 22
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6e134815-d4b1-4cc6-b731-cde92117a60e · outbound
Refnd: Preventing Data Leakage in Relational Datasets From Louvain to Leiden: guaranteeing well- connected communities,
Reference 23
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4b48027c-d84b-4ff9-ad3e-6abcb7ee875c · outbound
Refnd: Preventing Data Leakage in Relational Datasets Efficient and Robust Approximate Nearest Neighbor Search Using Hierarchical Navigable Small World Graphs,
Reference 24
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c46e4b3c-fe87-4499-9251-daf9c2228258 · outbound
Refnd: Preventing Data Leakage in Relational Datasets Community Structure in Graphs,
Reference 25
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6c408d3e-9aff-4553-a3c4-08197270723f · outbound
Refnd: Preventing Data Leakage in Relational Datasets Parasail: SIMD C library for global, semi-global, and local pairwise sequence align- ments,
Reference 26
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 71f3e003-dd07-44b6-a80f-c012b946ee69 · outbound
Refnd: Preventing Data Leakage in Relational Datasets US-align: universal structure alignments of proteins, nucleic acids, and macromolecular complexes,
Reference 27
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 92cc6e62-2b67-4a2e-aea0-87b9406d2848 · outbound
Refnd: Preventing Data Leakage in Relational Datasets Evolutionary-scale prediction of atomic-level protein structure with a language model,
Reference 28
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c254915a-5e31-49a4-a40d-1f39a85e5702 · outbound
Refnd: Preventing Data Leakage in Relational Datasets Identification of common molecular subsequences,
Reference 29
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3b9f6e7d-d2d3-4069-825d-c52304f22e6a · outbound
Refnd: Preventing Data Leakage in Relational Datasets A general method applicable to the search for similarities in the amino acid sequence of two proteins,
Reference 30
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6e10ec4f-46ed-49ef-979c-3ca2d56824cd · outbound
Refnd: Preventing Data Leakage in Relational Datasets Available: https://openreview.net/forum?id=H2Yb28qGLV
Reference 2026
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a66b43db-033f-44c8-8391-c202067a4300 · inbound
A Symmetric Layer-Union Audit of Component Collapse in Hierarchical Procedural Corpora Refnd: Preventing Data Leakage in Relational Datasets
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.