Paper Citation Record · LEDGER

Causality-Inspired Robustness for Nonlinear Models via Representation Learning

As of 15 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 1 inbound Pith citation observation for arXiv:2505.12868.

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

pith.paper-citation-record.v1
2505.12868 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:36:34.480668Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T19:18:49.195550Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

24 of 24 outbound references displayed

verified exact1
verified fuzzy3
unresolved20
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f179d690-74e8-4871-b63d-2bf5f2549b1a · outbound

This paper cites [2023], replacing X with ϕ∗(X).

Causality-Inspired Robustness for Nonlinear Models via Representation Learning [2023], replacing X with ϕ∗(X)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:36:35.137010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation cfb2402f-2bae-4cdb-acd6-e059c758fa89 · outbound

This paper cites In particular, the new graph will only include edges where the source node has ahigherindex than the target node.

Causality-Inspired Robustness for Nonlinear Models via Representation Learning In particular, the new graph will only include edges where the source node has ahigherindex than the target node

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:36:35.119769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 054145e7-c900-4cf4-b698-b8855ea6f33e · outbound

This paper cites Towards Deep Learning Models Resistant to Adversarial Attacks.

Causality-Inspired Robustness for Nonlinear Models via Representation Learning Towards Deep Learning Models Resistant to Adversarial Attacks

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T20:36:34.379592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18d7b353-bcec-4583-9d9e-c2e52df518db · outbound

This paper cites Domain Adaptation: Learning Bounds and Algorithms.

Causality-Inspired Robustness for Nonlinear Models via Representation Learning Domain Adaptation: Learning Bounds and Algorithms

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T20:36:34.385358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42a2484e-542e-4eeb-a916-554177d15c58 · outbound

This paper cites Identifiable Deep Generative Models via Sparse Decoding.

Causality-Inspired Robustness for Nonlinear Models via Representation Learning Identifiable Deep Generative Models via Sparse Decoding

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T20:36:34.391626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3da4c6d6-ccbd-446d-b330-a7189208ffa2 · outbound

This paper cites doi: 10.5802/ojmo.15.

Causality-Inspired Robustness for Nonlinear Models via Representation Learning doi: 10.5802/ojmo.15

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T20:36:34.402326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5b32eef-18c7-41d7-8f1d-08e225a95d5a · outbound

This paper cites an unresolved cited work.

Causality-Inspired Robustness for Nonlinear Models via Representation Learning Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T20:36:34.408548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 609ad4a6-abbf-43d5-9503-24a1a6520aef · outbound

This paper cites The Risks of Invariant Risk Minimization.

Causality-Inspired Robustness for Nonlinear Models via Representation Learning The Risks of Invariant Risk Minimization

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T20:36:34.414282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a89524b-4129-4d33-a0c6-7aeadfe00b01 · outbound

This paper cites Identifying Representations for Intervention Extrapolation.

Causality-Inspired Robustness for Nonlinear Models via Representation Learning Identifying Representations for Intervention Extrapolation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T20:36:34.425136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9075755-8352-45e5-82af-9dad0aa4d157 · outbound

This paper cites Distributional Principal Autoencoders.

Causality-Inspired Robustness for Nonlinear Models via Representation Learning Distributional Principal Autoencoders

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T20:36:34.430509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a6ab1b8-2ecf-4187-b087-3685bca3b42e · outbound

This paper cites Causality-oriented robustness: exploiting general noise interventions.

Causality-Inspired Robustness for Nonlinear Models via Representation Learning Causality-oriented robustness: exploiting general noise interventions

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T20:36:34.438088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1a41c20-893d-4b27-9aa2-e087fa18ad4f · outbound

This paper cites an unresolved cited work.

Causality-Inspired Robustness for Nonlinear Models via Representation Learning Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:36:35.154575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 09c60cfd-e357-4fd5-a7e7-832826330a50 · outbound

This paper cites Notably, in the first case ,thefinitenature of the perturbation is clear, as the performance degrades for overly conservative values of γ.

Causality-Inspired Robustness for Nonlinear Models via Representation Learning Notably, in the first case ,thefinitenature of the perturbation is clear, as the performance degrades for overly conservative values of γ

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:36:35.105443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 390006c3-819f-462e-9d81-ec2dbaf52b96 · outbound

This paper cites URLhttps://doi.org/10.1201/9781351077040.

Causality-Inspired Robustness for Nonlinear Models via Representation Learning URLhttps://doi.org/10.1201/9781351077040

Reference 1990

Resolution: unresolved; no resolver link, observed 2026-08-15T20:36:34.335342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec2a3af5-9900-4f6c-8065-bc369c14a5e9 · outbound

This paper cites an unresolved cited work.

Causality-Inspired Robustness for Nonlinear Models via Representation Learning Unresolved cited work

Reference 2010

Resolution: unresolved; no resolver link, observed 2026-08-15T20:36:34.330515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 970ee929-a75e-4a75-8132-328e8c41aa0b · outbound

This paper cites URL http://www.

Causality-Inspired Robustness for Nonlinear Models via Representation Learning URL http://www

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-15T20:36:34.449698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84266ef8-f340-4834-b8df-54d1db93a83d · outbound

This paper cites Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithms.

Causality-Inspired Robustness for Nonlinear Models via Representation Learning Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithms

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-15T20:36:34.373712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0a60eff-67ef-403b-bdb3-365753f3a0db · outbound

This paper cites doi: 10.1287/opre.2017.1698.

Causality-Inspired Robustness for Nonlinear Models via Representation Learning doi: 10.1287/opre.2017.1698

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-15T20:36:34.356063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3e6eeae-9559-481a-b162-d8959012118d · outbound

This paper cites Posterior Collapse and Latent Variable Non-identifiability.

Causality-Inspired Robustness for Nonlinear Models via Representation Learning Posterior Collapse and Latent Variable Non-identifiability

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-15T20:36:34.443365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6cb24308-b5a3-4e9a-848b-8d558a996ed9 · outbound

This paper cites an unresolved cited work.

Causality-Inspired Robustness for Nonlinear Models via Representation Learning Unresolved cited work

Reference 2021

Resolution: verified exact; raw_fallback, observed 2026-08-15T20:36:34.804196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3f46477f-dae6-468c-8dbd-5ec334b6ae19 · outbound

This paper cites CausalBench: A Large-scale Benchmark for Network Inference from Single-cell Perturbation Data.

Causality-Inspired Robustness for Nonlinear Models via Representation Learning CausalBench: A Large-scale Benchmark for Network Inference from Single-cell Perturbation Data

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-15T20:36:34.324865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb2d97e4-7681-4095-9214-7112aa507d76 · outbound

This paper cites Invariant Risk Minimization.

Causality-Inspired Robustness for Nonlinear Models via Representation Learning Invariant Risk Minimization

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-15T20:36:34.317315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0af7f232-d061-4f6e-9aa6-c89cfd876730 · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

Causality-Inspired Robustness for Nonlinear Models via Representation Learning Explaining and Harnessing Adversarial Examples

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-15T20:36:34.340059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0b9cd49-1fd0-4bac-8e64-e02c3bff9f40 · outbound

This paper cites an unresolved cited work.

Causality-Inspired Robustness for Nonlinear Models via Representation Learning Unresolved cited work

Reference 2025

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:36:35.171333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

Observation ffd76e6b-da46-4e06-9985-acc2c215eb1b · inbound

Representation-Aware Distributionally Robust Optimization: A Knowledge Transfer Framework cites this paper.

Representation-Aware Distributionally Robust Optimization: A Knowledge Transfer Framework Causality-Inspired Robustness for Nonlinear Models via Representation Learning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T19:18:49.195550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.