Paper Citation Record · LEDGER

Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts

As of 22 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2504.17921.

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

pith.paper-citation-record.v1
2504.17921 v3

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:36:00.260113Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

47 of 47 outbound references displayed

verified exact2
verified fuzzy22
unresolved22
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 96c539b6-a9c4-4b16-86a2-7068b2e79a5a · outbound

This paper cites an unresolved cited work.

Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-16T10:36:00.540236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5e6a768f-94a9-4966-ad81-81d90dcbfadc · outbound

This paper cites Benchmarking Neural Network Robustness to Common Corruptions and Perturbations.

Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts Benchmarking Neural Network Robustness to Common Corruptions and Perturbations

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T10:36:00.096817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 007a2821-731b-4f93-9779-b7084f47d970 · outbound

This paper cites The (Un)reliability of saliency methods.

Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts The (Un)reliability of saliency methods

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T10:36:00.109637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04d0ad21-7753-4b78-ab81-b915ed26501a · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts Adam: A Method for Stochastic Optimization

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T10:36:00.113024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbca2cf2-8e7e-41a2-986f-a32854c6c334 · outbound

This paper cites Salt & Pepper.

Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts Salt & Pepper

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:36:00.565131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 79c89032-79cc-4c9c-8c87-7c7b8bf30f71 · outbound

This paper cites We show results on a spuri- ously correlated ID validation set (top) and on an OOD test set without the spurious correlation (bottom).

Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts We show results on a spuri- ously correlated ID validation set (top) and on an OOD test set without the spurious correlation (bottom)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:36:00.552230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9b5fdbbe-7047-4d1e-ba8e-70c8d71eaad4 · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T10:36:00.137293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01715587-dec6-46e7-b74b-206fd91c77b9 · outbound

This paper cites Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization.

Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T10:36:00.140844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06111a0f-f369-4e48-b262-87a2500cb69d · outbound

This paper cites Transparent Anomaly Detection via Concept-based Explanations.

Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts Transparent Anomaly Detection via Concept-based Explanations

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T10:36:00.144592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a093b25-428d-48d3-a157-5f1cbd89dba8 · outbound

This paper cites Trust in AI: Interpretability is not necessary or sufficient, while black-box interaction is necessary and sufficient.

Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts Trust in AI: Interpretability is not necessary or sufficient, while black-box interaction is necessary and sufficient

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-16T10:36:00.352460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ae56fb32-4c9d-47b7-9f0f-f8de097d73ce · outbound

This paper cites A Closer Look at the Intervention Procedure of Concept Bottleneck Models.

Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts A Closer Look at the Intervention Procedure of Concept Bottleneck Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T10:36:00.156092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f39653c-b511-41a5-8e3b-a18419307c80 · outbound

This paper cites Dropout: a simple way to prevent neural networks from overfitting.

Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts Dropout: a simple way to prevent neural networks from overfitting

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T10:36:00.160364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b611fbf7-00b7-49e9-8435-81cfb2bb18e7 · outbound

This paper cites The caltech-ucsd birds-200-2011 dataset.

Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts The caltech-ucsd birds-200-2011 dataset

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T10:36:00.171287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e3b4f61-ef85-4ba5-b2ee-85660b8cefb9 · outbound

This paper cites Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations.

Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T10:36:00.178713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d093b36-7d18-4f81-8ed2-e9e1741faf75 · outbound

This paper cites Post-hoc con- cept bottleneck models.

Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts Post-hoc con- cept bottleneck models

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:36:00.724042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c9e7d95e-c5da-48ef-be6f-a554939bc198 · outbound

This paper cites black nape.

Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts black nape

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:36:00.689910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4a4b713f-ab84-4e95-8676-576834954b4d · outbound

This paper cites aeroplanes.

Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts aeroplanes

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:36:00.681002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 17a79495-6c1a-456d-ad76-9a71f758638b · outbound

This paper cites In contrast to how Marcinkeviˇcs et al.

Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts In contrast to how Marcinkeviˇcs et al

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:36:00.670774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4ff4546b-6cdc-4977-984a-591d7f629217 · outbound

This paper cites seashores.

Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts seashores

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:36:00.660774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cb6c1afe-d1ea-4389-817e-a8c9925593fa · outbound

This paper cites Yellow-headed Blackbird.

Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts Yellow-headed Blackbird

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:36:00.650653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4eaf681c-a857-4557-92a2-9ebbae7955e1 · outbound

This paper cites Similarly, we use weight decay 1× 10−6, a learning rate 10 times smaller for the non-pretrained weights, and clip gradient norms to 2 as the authors do in their official code base2.

Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts Similarly, we use weight decay 1× 10−6, a learning rate 10 times smaller for the non-pretrained weights, and clip gradient norms to 2 as the authors do in their official code base2

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:36:00.617977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 41619018-2161-4b98-bd77-dbdcd933394a · outbound

This paper cites When fine-tuning P-CBMs’s sparse linear classifier, we fine-tune the complexity regulariserλcomplex and fix the elastic net’s ℓ1 ratio to be 0.1.

Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts When fine-tuning P-CBMs’s sparse linear classifier, we fine-tune the complexity regulariserλcomplex and fix the elastic net’s ℓ1 ratio to be 0.1

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:36:00.607045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1d3a49d7-a207-4f6a-ae58-751620b0f0c6 · outbound

This paper cites an unresolved cited work.

Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-16T10:36:00.596677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0cafeeac-ef5a-4ca4-8be4-7c81ed60c301 · outbound

This paper cites Salt & Pepper.

Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts Salt & Pepper

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:36:00.586368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9c3fc4d4-84c9-49a7-9fa8-92300bbf03d3 · outbound

This paper cites Random Policy.

Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts Random Policy

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:36:00.530241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4cf568a5-4c0d-44ca-b5bf-90161b518d3d · outbound

This paper cites (2024) and Marcinkeviˇcs et al.

Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts (2024) and Marcinkeviˇcs et al

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:36:00.519391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 38880229-f93d-4506-9a04-a34f9c746791 · outbound

This paper cites For our plots, we used matplotlib 3.5.1 (Hunter,.

Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts For our plots, we used matplotlib 3.5.1 (Hunter,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:36:00.508449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4a10f3f9-57ce-45d7-9bd9-b4df7aa3a763 · outbound

This paper cites ProbCBM We attempt to closely follow the same hyperparameters for ProbCBMs used in the original work by Kim et al.

Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts ProbCBM We attempt to closely follow the same hyperparameters for ProbCBMs used in the original work by Kim et al

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:36:00.630605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5c746f55-d584-4407-848c-c7cdee1a273c · outbound

This paper cites CEM When training CEMs, we intervene on a concept with probability pint = 0.25 (as suggested by the authors (Es- pinosa Zarlenga et al., 2022)).

Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts CEM When training CEMs, we intervene on a concept with probability pint = 0.25 (as suggested by the authors (Es- pinosa Zarlenga et al., 2022))

Reference 200

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:36:00.641206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 50882fa0-2066-4739-b593-127e64cfa18f · outbound

This paper cites Each sample in this task corresponds to a (3× 299×.

Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts Each sample in this task corresponds to a (3× 299×

Reference 299

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:36:00.700540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9f60a506-8fd8-4c6b-ba2e-2d6cc6c9b8cb · outbound

This paper cites In this work, we apply a common adaptation of Platt Scaling by Guo et al.

Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts In this work, we apply a common adaptation of Platt Scaling by Guo et al

Reference 1999

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:36:00.712561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3bc9ea4c-85e8-4423-b46e-bc4a59581c26 · outbound

This paper cites Now You See Me (CME): Concept-based Model Extraction.

Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts Now You See Me (CME): Concept-based Model Extraction

Reference 2007

Resolution: unresolved; no resolver link, observed 2026-08-16T10:36:00.105591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af999d4d-02ba-448b-9433-a786f6f44a4e · outbound

This paper cites Stochastic Concept Bottleneck Models.

Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts Stochastic Concept Bottleneck Models

Reference 2008

Resolution: unresolved; no resolver link, observed 2026-08-16T10:36:00.168220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7a02b0f-bdfd-4d55-9470-598237de1803 · outbound

This paper cites Large-scale celeb- faces attributes (celeba) dataset.

Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts Large-scale celeb- faces attributes (celeba) dataset

Reference 2009

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:36:00.764326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7b4bfcd1-b91d-4bb4-8e37-8e7c80eb01b5 · outbound

This paper cites Failing Conceptually: Concept-Based Explanations of Dataset Shift.

Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts Failing Conceptually: Concept-Based Explanations of Dataset Shift

Reference 2011

Resolution: metadata mismatch; local_arxiv, observed 2026-08-16T10:36:00.307186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f200631a-ef22-4894-9125-920f71852db9 · outbound

This paper cites an unresolved cited work.

Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts Unresolved cited work

Reference 2012

Resolution: unresolved; raw_fallback, observed 2026-08-16T10:36:00.576291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d1c642c5-dd41-4ec1-b53a-24c3b5d25bd0 · outbound

This paper cites Encoding Concepts in Graph Neural Networks.

Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts Encoding Concepts in Graph Neural Networks

Reference 2013

Resolution: unresolved; no resolver link, observed 2026-08-16T10:36:00.123901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 952b4b8a-703f-4661-90c7-3e35b30089ca · outbound

This paper cites Learning to Intervene on Concept Bottlenecks.

Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts Learning to Intervene on Concept Bottlenecks

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-16T10:36:00.164369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 506c6050-c17e-4934-b7bc-2016ac2bbb07 · outbound

This paper cites Towards Automatic Concept-based Explanations.

Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts Towards Automatic Concept-based Explanations

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-16T10:36:00.091728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2218ce4b-ecb9-41b0-b5f5-bb1e02097f46 · outbound

This paper cites Interactive Concept Bottleneck Models.

Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts Interactive Concept Bottleneck Models

Reference 2017

Resolution: verified exact; local_arxiv, observed 2026-08-16T10:36:00.485658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9269f470-d9e6-4c6a-9aff-407a0499e607 · outbound

This paper cites Towards Robust Interpretability with Self-Explaining Neural Networks.

Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts Towards Robust Interpretability with Self-Explaining Neural Networks

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-16T10:36:00.078301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f888b0a3-c0d6-466c-9b99-3adfbbd2ea0d · outbound

This paper cites A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks.

Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-16T10:36:00.101169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9632a71-3fb4-4c04-84d7-3fe3fcc2b4a1 · outbound

This paper cites Learning multiple layers of features from tiny images.

Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts Learning multiple layers of features from tiny images

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:36:00.775755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6e6115aa-5d83-438c-837b-f0ff407d1537 · outbound

This paper cites Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable?.

Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable?

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-16T10:36:00.133321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cc37d06-f219-4560-b07e-9a4925121e5c · outbound

This paper cites Promises and Pitfalls of Black-Box Concept Learning Models.

Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts Promises and Pitfalls of Black-Box Concept Learning Models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-16T10:36:00.128750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01442eff-fa52-4459-812b-9ab37a147a06 · outbound

This paper cites M., Barker, M., Espinosa Zarlenga, M., Raman, N., Bhatt, U., Jamnik, M., Sucholutsky, I., Weller, A., and Dvijotham, K.

Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts M., Barker, M., Espinosa Zarlenga, M., Raman, N., Bhatt, U., Jamnik, M., Sucholutsky, I., Weller, A., and Dvijotham, K

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:36:00.785862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0eac7385-df20-49fc-b6f8-33e66c8afac5 · outbound

This paper cites A., Sevyeri, L.

Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts A., Sevyeri, L

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:36:00.751147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

No inbound Pith citation observations are available.