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Paper Citation Record · LEDGER

Robustness May Be at Odds with Accuracy

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:1805.12152.

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

pith.paper-citation-record.v1
1805.12152 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 21 of 21 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 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:06:54.743166Z

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

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External citation measurements

373
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 7b6f3ac1-bd1b-401f-a2dd-1f0572e03b21 · inbound

SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks cites this paper.

SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks Robustness May Be at Odds with Accuracy

Reference 54

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verified exact
arxiv_id, observed 2026-05-14T17:11:00.866463Z

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=2026-05-14T17:11:00.639293Z digest=sha256:afe08ec7686f5958d4d24237ed991d07b1297e6548d76dc5d5d9a93597fdd295

Observation 44f9cf90-abbc-466f-ad91-d10cd089dda8 · inbound

Improving Clean Accuracy via a Tangent-Space Perspective on Adversarial Training cites this paper.

Improving Clean Accuracy via a Tangent-Space Perspective on Adversarial Training Robustness May Be at Odds with Accuracy

Reference 26

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verified exact
arxiv_id, observed 2026-05-23T21:53:29.853178Z

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=2026-05-23T21:50:40.105297Z digest=sha256:2a1055726204ae028c5dacadc1ce3e3ec98112b0c7d977d56753319d8026ee7c

Observation e4a6229f-f15d-4e6e-b958-e416a9937429 · inbound

DROP: Poison Dilution via Knowledge Distillation for Federated Learning cites this paper.

DROP: Poison Dilution via Knowledge Distillation for Federated Learning Robustness May Be at Odds with Accuracy

Reference 57

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no resolver link, observed 2026-08-08T14:06:54.743166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T14:06:54.743166Z digest=sha256:6f54e604827d283da0be0432e27ded2a64bae4a21cfb7feaf77b77868b683dc0

Observation 8a847e32-d87a-4606-b4af-a5c1e614d2f9 · inbound

Grounding Functional Similarity by Invariance-Aware Model Stitching cites this paper.

Grounding Functional Similarity by Invariance-Aware Model Stitching Robustness May Be at Odds with Accuracy

Reference 41

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unresolved
no resolver link, observed 2026-08-07T14:02:55.828765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:02:55.828765Z digest=sha256:5d58bef7db7e936ee736c8b755d217b7daf36e3cb59ba4f78c125eb7a6eae6c8

Observation 446f0514-18ab-48ba-84cb-5b9db5ec58ec · inbound

When Maximum Entropy Misleads Policy Optimization cites this paper.

When Maximum Entropy Misleads Policy Optimization Robustness May Be at Odds with Accuracy

Reference 43

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no resolver link, observed 2026-08-07T10:22:19.557477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:22:19.557477Z digest=sha256:289415e1073adfd2e8c607e34ac3f6ba97cae99fc6d0c4846aa812db01b3ac1c

Observation b9d6e3c9-c7d1-48fb-90a7-2e6496462015 · inbound

Exploring Visual Prompting: Robustness Inheritance and Beyond cites this paper.

Exploring Visual Prompting: Robustness Inheritance and Beyond Robustness May Be at Odds with Accuracy

Reference 44

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unresolved
no resolver link, observed 2026-08-07T05:52:38.783200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:52:38.783200Z digest=sha256:1741d02110b3b4803464444a98fe6180ef0ca333aba715a303277e2f12856550

Observation e6ce8ed6-4711-41d2-849a-27a65e063900 · inbound

DUMB and DUMBer: Is Adversarial Training Worth It in the Real World? cites this paper.

DUMB and DUMBer: Is Adversarial Training Worth It in the Real World? Robustness May Be at Odds with Accuracy

Reference 24

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no resolver link, observed 2026-08-06T23:20:08.359134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:20:08.359134Z digest=sha256:8e511ecd3d48685a8438677042748beb06bef90f9002e38b572b766a4e40b65c

Observation cc1cad06-d365-44cc-ba75-d00ae87ae8bd · inbound

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics cites this paper.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Robustness May Be at Odds with Accuracy

Reference 54

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no resolver link, observed 2026-08-06T16:24:10.968039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:24:10.968039Z digest=sha256:4b2f3eff1bb52c07218067fb577d2df24616a91660b50e7917201b0f9eb7298f

Observation f7629bdb-6602-453e-9138-b15b6227f1d3 · inbound

PRM-Free Security Alignment of Large Models via Red Teaming and Adversarial Training cites this paper.

PRM-Free Security Alignment of Large Models via Red Teaming and Adversarial Training Robustness May Be at Odds with Accuracy

Reference 76

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no resolver link, observed 2026-08-06T17:35:48.474839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:35:48.474839Z digest=sha256:12ec57bf3da11fa00c1a42fd8e8570024c9058dcb32832eba0a4a256ffed07e2

Observation 0e7010dd-8347-47db-9335-f0b3aa1d652d · inbound

Adversarial Examples Are Not Bugs, They Are Superposition cites this paper.

Adversarial Examples Are Not Bugs, They Are Superposition Robustness May Be at Odds with Accuracy

Reference 43

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no resolver link, observed 2026-08-05T16:56:11.745058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:56:11.745058Z digest=sha256:31fd3c751e7a41fe95a3cd6b5813c7d00af72c33c5fcaa2356fcc6954b29bd25

Observation c227f7d3-1ed6-4f83-a6f9-1b04beff86bb · inbound

RobQFL: Robust Quantum Federated Learning in Adversarial Environment cites this paper.

RobQFL: Robust Quantum Federated Learning in Adversarial Environment Robustness May Be at Odds with Accuracy

Reference 34

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unresolved
no resolver link, observed 2026-08-05T05:51:20.745952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:51:20.745952Z digest=sha256:a48252f82404b42609481997cb1d8f8c4056e777c1f36e172b3bbd1e216cc3bd

Observation 567e4fc1-e0c9-4f88-a773-32ab77e32c24 · inbound

Uncovering and Understanding FPR Manipulation Attack in Industrial IoT Networks cites this paper.

Uncovering and Understanding FPR Manipulation Attack in Industrial IoT Networks Robustness May Be at Odds with Accuracy

Reference 73

Resolution
verified exact
arxiv_id, observed 2026-05-16T12:12:51.241099Z

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=2026-05-16T12:11:22.001624Z digest=sha256:a85ee9571cffc6e311c0483ccaf0d9a75df6e8f7c58e73235a03e9b69b02f59e

Observation d864e5d1-ad46-4c8b-a3b4-0022e5c03789 · inbound

Private Vertical Federated Inference for Time-Series cites this paper.

Private Vertical Federated Inference for Time-Series Robustness May Be at Odds with Accuracy

Reference 30

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verified exact
arxiv_id, observed 2026-05-12T08:31:23.591410Z

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=2026-05-12T01:06:52.078378Z digest=sha256:e36e431474087e827c48366166b744cf82e1069b825a27b29c6892384b853b08

Observation ad242259-8a0c-48b8-9a35-d9887f5f1570 · inbound

Birds of a Feather Flock Together: Background-Invariant Representations via Linear Structure in VLMs cites this paper.

Birds of a Feather Flock Together: Background-Invariant Representations via Linear Structure in VLMs Robustness May Be at Odds with Accuracy

Reference 37

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verified exact
arxiv_id, observed 2026-05-13T07:27:29.774080Z

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=2026-05-13T07:26:02.947081Z digest=sha256:38ca576044cabf0fe39a3822f5f6cf842b6ee24013ca711a354fd3a755dd44bd

Observation 1dd4c8d9-31b3-4aff-891d-240f5d17e62c · inbound

When Interpretability Becomes a Liability: Adversarial Attacks on CBM Concept Layers cites this paper.

When Interpretability Becomes a Liability: Adversarial Attacks on CBM Concept Layers Robustness May Be at Odds with Accuracy

Reference 24

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verified exact
arxiv_id, observed 2026-06-29T23:04:02.114451Z

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=2026-06-29T22:58:26.138217Z digest=sha256:43cf332c732beb691fd0118d182b9848fd7528cc6450c123455495b226c2f0d5

Observation 096b2786-84f4-42b8-b7ba-ee44506a365f · inbound

SORA: Free Second-Order Attacks in Fast Adversarial Training cites this paper.

SORA: Free Second-Order Attacks in Fast Adversarial Training Robustness May Be at Odds with Accuracy

Reference 5

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metadata mismatch
arxiv_id, observed 2026-06-28T19:12:35.114015Z

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=2026-06-28T19:05:06.136594Z digest=sha256:1118423e8ad7f46624bf4fd3d3b2b42f0be6b3b66bba7b436be5e2971faf2132

Observation 5111deac-6b74-4196-8663-923f60b95730 · inbound

Toward Calibrated, Fair, and accurate Deepfake Detection cites this paper.

Toward Calibrated, Fair, and accurate Deepfake Detection Robustness May Be at Odds with Accuracy

Reference 194

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verified exact
arxiv_id, observed 2026-06-28T07:11:45.204501Z

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=2026-06-28T07:05:18.026601Z digest=sha256:752a60d9e5b1b4d78aca2becaa5ef7e43bb11a8a20822c877ad7fc2da0f4603e

Observation 1cf3f183-e221-4687-86d7-da2312e19bf8 · inbound

Test-Time Gradient Guidance of Flow Policies in Reinforcement Learning cites this paper.

Test-Time Gradient Guidance of Flow Policies in Reinforcement Learning Robustness May Be at Odds with Accuracy

Reference 60

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verified exact
arxiv_id, observed 2026-07-03T04:17:36.930244Z

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=2026-06-27T14:05:01.073951Z digest=sha256:75479f29e4ec3675f8139dce1ff8475a28affe6156099414729329f06b46256c

Observation f6135c97-d321-4601-8336-c025c784b140 · inbound

Explaining Machine Learning and Memorization with Statistical Mechanics cites this paper.

Explaining Machine Learning and Memorization with Statistical Mechanics Robustness May Be at Odds with Accuracy

Reference 134

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verified exact
arxiv_id, observed 2026-07-01T06:05:28.482071Z

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=2026-07-01T06:04:52.621553Z digest=sha256:083a444345095b7ba13ffd4519a36f6682525fad781d7ef2d39c5f97a746ad19

Observation 7b2bf373-ce12-443d-bb7b-4a6f55148369 · inbound

Hiding in Plain Sight: An Effective Physical Adversarial Patch Attack against Visual-Infrared Fused Face Detection cites this paper.

Hiding in Plain Sight: An Effective Physical Adversarial Patch Attack against Visual-Infrared Fused Face Detection Robustness May Be at Odds with Accuracy

Reference 257

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no resolver link, observed 2026-07-31T23:55:43.966834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:55:43.966834Z digest=sha256:3b2209683aafcc064375939680158303cbf783fc68cae7b450b62c93b2d74bb5

Observation fe4e8693-652a-4099-8555-5d84aede1d81 · inbound

Evaluation of Adversarial Robustness in Arabic Language Models cites this paper.

Evaluation of Adversarial Robustness in Arabic Language Models Robustness May Be at Odds with Accuracy

Reference 8

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no resolver link, observed 2026-08-01T01:26:14.708826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T01:26:14.708826Z digest=sha256:e992bcc08516f8635b825503dac1a728d44df7c6c6bc07359c0127a544995e10