Paper Citation Record · LEDGER

Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack

As of 17 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2411.16167.

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

pith.paper-citation-record.v1
2411.16167 v3

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:31:45.955708Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

45 of 45 outbound references displayed

verified exact3
verified fuzzy33
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation eb804f20-23e8-4bad-8abd-5d926c4c3619 · outbound

This paper cites Get Rid Of Your Trail: Remotely Erasing Backdoors in Federated Learning.

Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack Get Rid Of Your Trail: Remotely Erasing Backdoors in Federated Learning

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T13:31:45.746608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 985f600e-66af-4faa-b714-4ec3735a1980 · outbound

This paper cites Per- door: Persistent backdoors in federated learning using ad- versarial perturbations.

Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack Per- door: Persistent backdoors in federated learning using ad- versarial perturbations

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:31:46.667373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9d6ae9e4-5803-410f-845f-826726d3faec · outbound

This paper cites How to backdoor federated learning.

Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack How to backdoor federated learning

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:31:46.651919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b3a1e9cf-22e7-49d7-b5c2-bc3f03e82d4e · outbound

This paper cites Analyzing federated learning through an adversarial lens.

Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack Analyzing federated learning through an adversarial lens

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:31:46.635563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fb8983e7-60b6-4269-a718-ee9d4d753190 · outbound

This paper cites Machine learning with adversaries: Byzantine tolerant gradient descent.

Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack Machine learning with adversaries: Byzantine tolerant gradient descent

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:31:46.619245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation becd019f-9fab-4c7e-8023-6d5889e198b4 · outbound

This paper cites Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning.

Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T13:31:45.771285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb82b772-8ed3-49d1-92ec-dad9752a3f2a · outbound

This paper cites Chameleon: Adapting to peer im- ages for planting durable backdoors in federated learning.

Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack Chameleon: Adapting to peer im- ages for planting durable backdoors in federated learning

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:31:46.604409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 38f75755-1065-4b73-adc3-eddcf00e933b · outbound

This paper cites The mnist database of handwritten digit images for machine learning research [best of the web].

Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack The mnist database of handwritten digit images for machine learning research [best of the web]

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:31:46.589710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 66e55b62-37e8-46fd-96cd-ffd829edb182 · outbound

This paper cites On the vulnerability of backdoor defenses for federated learning.

Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack On the vulnerability of backdoor defenses for federated learning

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:31:46.574264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 14e2158b-a9a6-4798-8b0f-7a32b14d17c6 · outbound

This paper cites ABC-FL: Anomalous and Benign client Classification in Federated Learning.

Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack ABC-FL: Anomalous and Benign client Classification in Federated Learning

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-12T13:31:46.092498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 10dd4251-dcd0-47d3-b84c-b6dcded43a1b · outbound

This paper cites Advances and open problems in federated learn- ing.

Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack Advances and open problems in federated learn- ing

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:31:46.560007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 78746bf8-0e8c-43d2-b91a-820c6fe5d445 · outbound

This paper cites Scaffold: Stochastic controlled averaging for feder- ated learning.

Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack Scaffold: Stochastic controlled averaging for feder- ated learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T13:31:45.801133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01c236fd-012c-4dae-94ce-cddac2a2b089 · outbound

This paper cites Overcoming catastrophic forgetting in neu- ral networks.

Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack Overcoming catastrophic forgetting in neu- ral networks

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:31:46.535699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 47ea9a7b-f031-45f9-afec-49d4d951f9ab · outbound

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

Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack Learning multiple layers of features from tiny images

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T13:31:45.810833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df49b22b-8a37-45e9-810e-85a9f3de1a3b · outbound

This paper cites Gan-based information leakage attack de- tection in federated learning.

Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack Gan-based information leakage attack de- tection in federated learning

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:31:46.510727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a9ea68e7-95ef-45d8-94eb-601d5301554d · outbound

This paper cites Preservation of the global knowledge by not- true distillation in federated learning.

Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack Preservation of the global knowledge by not- true distillation in federated learning

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:31:46.496183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 30ab3e69-7b73-42f6-95a5-129a80221486 · outbound

This paper cites Detection and mitigation of label-flipping at- tacks in federated learning systems with kpca and k-means.

Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack Detection and mitigation of label-flipping at- tacks in federated learning systems with kpca and k-means

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:31:46.481025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 50d0b741-1351-4af5-8ae9-bfdb1843ff89 · outbound

This paper cites 3dfed: Adaptive and extensi- ble framework for covert backdoor attack in federated learn- ing.

Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack 3dfed: Adaptive and extensi- ble framework for covert backdoor attack in federated learn- ing

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:31:46.464081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8f3109fb-5eea-4afc-87a8-018641a33c88 · outbound

This paper cites Model- contrastive federated learning.

Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack Model- contrastive federated learning

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:31:46.449192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c205c556-4c2c-480c-9427-9b2a3e798c3c · outbound

This paper cites A survey on federated learning systems: Vision, hype and reality for data privacy and protection.

Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack A survey on federated learning systems: Vision, hype and reality for data privacy and protection

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:31:46.433324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 43b1e68b-0f97-4fc6-bcf0-3b510f5b5a8f · outbound

This paper cites Federated optimiza- tion in heterogeneous networks.

Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack Federated optimiza- tion in heterogeneous networks

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:31:46.418179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ebd3e337-6a0b-4fc1-be53-c78f5cb51021 · outbound

This paper cites On the Convergence of FedAvg on Non-IID Data.

Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack On the Convergence of FedAvg on Non-IID Data

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T13:31:45.847536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb0dde28-13e9-4c64-893e-2887f92bb8aa · outbound

This paper cites Back- door learning: A survey.

Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack Back- door learning: A survey

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:31:46.401933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a910f62a-fa47-41d4-93fc-8f224ee05c66 · outbound

This paper cites Fine- pruning: Defending against backdooring attacks on deep neural networks.

Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack Fine- pruning: Defending against backdooring attacks on deep neural networks

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T13:31:45.857376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fa0c8e7-cfaf-4116-89a1-262811dcb8b6 · outbound

This paper cites Poisoning with cer- berus: Stealthy and colluded backdoor attack against fed- erated learning.

Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack Poisoning with cer- berus: Stealthy and colluded backdoor attack against fed- erated learning

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:31:46.377236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 952cfcb5-695d-4ea3-aa74-94a3990d1cee · outbound

This paper cites Poisoning attacks against feature-based image classification.

Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack Poisoning attacks against feature-based image classification

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:31:46.362424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4a32a7b8-9111-4113-93c8-415f333ef349 · outbound

This paper cites Communication- efficient learning of deep networks from decentralized data.

Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack Communication- efficient learning of deep networks from decentralized data

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:31:46.347942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1eb461b8-2753-4817-85be-06ce8bf3da14 · outbound

This paper cites Local learning matters: Rethinking data heterogeneity in federated learning.

Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack Local learning matters: Rethinking data heterogeneity in federated learning

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:31:46.332727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2b787e1e-d581-4ef2-b5fa-76f564f8c127 · outbound

This paper cites BadVFL: Backdoor Attacks in Vertical Federated Learning.

Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack BadVFL: Backdoor Attacks in Vertical Federated Learning

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-08-12T13:31:46.055322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7afe86c8-a71a-4166-a24d-254acd075db3 · outbound

This paper cites {FLAME}: Taming backdoors in federated learning.

Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack {FLAME}: Taming backdoors in federated learning

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:31:46.317261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c2f04cb7-f13d-4b01-baa2-a26ff497008d · outbound

This paper cites Iba: Towards irreversible back- door attacks in federated learning.

Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack Iba: Towards irreversible back- door attacks in federated learning

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:31:46.301674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 49fa6a18-c1ad-4eb2-8c9f-be82c8d09831 · outbound

This paper cites Sparsefed: Mit- igating model poisoning attacks in federated learning with sparsification.

Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack Sparsefed: Mit- igating model poisoning attacks in federated learning with sparsification

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:31:46.285540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9e264368-f066-4dba-896f-24cf400f1c53 · outbound

This paper cites Gan-driven data poisoning attacks and their mitigation in federated learning systems.

Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack Gan-driven data poisoning attacks and their mitigation in federated learning systems

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:31:46.270182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d56f7abd-a29c-4798-b192-708830a36676 · outbound

This paper cites Can You Really Backdoor Federated Learning?.

Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack Can You Really Backdoor Federated Learning?

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T13:31:45.902931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d52f7da-e78b-45b8-b603-4a22ee90d4f4 · outbound

This paper cites Mitigating poisoning attack in federated learning.

Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack Mitigating poisoning attack in federated learning

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:31:46.255347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0bd07fe2-9ac5-487c-bc82-c3db81643347 · outbound

This paper cites Attack of the tails: Yes, you really can backdoor federated learning.

Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack Attack of the tails: Yes, you really can backdoor federated learning

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:31:46.239892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 98d1288c-9fb6-4a55-b80a-f178c5ffd034 · outbound

This paper cites Federated Learning with Matched Averaging.

Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack Federated Learning with Matched Averaging

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-12T13:31:45.916945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7748d333-c3c6-46cd-a67e-0308f338cbf9 · outbound

This paper cites Tackling the objective inconsistency prob- lem in heterogeneous federated optimization.

Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack Tackling the objective inconsistency prob- lem in heterogeneous federated optimization

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-12T13:31:45.921808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 149635fd-5eb9-4e43-b5fa-75884525e56b · outbound

This paper cites Thinking Two Moves Ahead: Anticipating Other Users Improves Backdoor Attacks in Federated Learning.

Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack Thinking Two Moves Ahead: Anticipating Other Users Improves Backdoor Attacks in Federated Learning

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-08-12T13:31:45.999866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 558e1389-6b86-4781-8348-23af8e8bb6dc · outbound

This paper cites Dba: Dis- tributed backdoor attacks against federated learning.

Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack Dba: Dis- tributed backdoor attacks against federated learning

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:31:46.214433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 581ca44d-196a-47db-a76c-e08712d3653e · outbound

This paper cites Crfl: Certifiably robust federated learning against backdoor at- tacks.

Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack Crfl: Certifiably robust federated learning against backdoor at- tacks

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:31:46.198368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f09dbcd8-b9d6-4975-bcc9-9390514fcfca · outbound

This paper cites Bapfl: You can backdoor personalized federated learn- ing.

Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack Bapfl: You can backdoor personalized federated learn- ing

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:31:46.183983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8618aa8e-aa16-4633-9ddc-755cc4591072 · outbound

This paper cites A3fl: Adversarially adaptive backdoor attacks to federated learning.

Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack A3fl: Adversarially adaptive backdoor attacks to federated learning

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:31:46.168754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1232b8fb-b6b8-4747-9852-7bdbfd53ece9 · outbound

This paper cites Poisoning attack in federated learning using generative ad- versarial nets.

Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack Poisoning attack in federated learning using generative ad- versarial nets

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:31:46.154251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4263c06b-671a-40ce-8008-8bb07e940ecc · outbound

This paper cites Neurotoxin: Durable backdoors in federated learning.

Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack Neurotoxin: Durable backdoors in federated learning

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:31:46.139373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.