Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models | Paper Citation Record

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This paper cites an unresolved cited work.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:44:53.378547Z

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Observation 4df370c6-2002-412b-932d-7f2b67999491 · outbound

This paper cites an unresolved cited work.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:44:53.236308Z

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Observation 67651c30-a3da-4feb-ac8a-ceaf6a0aa93b · outbound

This paper cites Challenges and Applications of Large Language Models.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Challenges and Applications of Large Language Models

Reference 3

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This paper cites Llama3, The llama 3 herd of models, https://llama.meta.com/, accessed: 2024-7-23 (2024).

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Llama3, The llama 3 herd of models, https://llama.meta.com/, accessed: 2024-7-23 (2024)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:44:53.073254Z

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Observation 0a05869e-f553-4415-bde9-4ca2e4442cf2 · outbound

This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 5

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Observation 34d3dfa2-059d-43e8-977d-805300c66eb2 · outbound

This paper cites Raffel, N.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Raffel, N

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:44:52.932899Z

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This paper cites an unresolved cited work.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:44:52.800973Z

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This paper cites an unresolved cited work.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:44:52.641258Z

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Observation e6de0062-660e-4536-b1ef-1c76797b4d3c · outbound

This paper cites an unresolved cited work.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:44:52.478256Z

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This paper cites an unresolved cited work.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:44:52.303499Z

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Observation cc60e9ee-4794-4781-a817-094cf58daf4c · outbound

This paper cites an unresolved cited work.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:44:52.117191Z

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This paper cites Breaking the False Sense of Security in Backdoor Defense through Re-Activation Attack.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Breaking the False Sense of Security in Backdoor Defense through Re-Activation Attack

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-05T13:44:43.548131Z

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Observation 89d3a48f-30db-4042-ae92-771d199ec203 · outbound

This paper cites an unresolved cited work.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:44:51.923338Z

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Observation 6cc2dca5-7617-4feb-b2a4-4d2108294966 · outbound

This paper cites an unresolved cited work.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:44:51.762047Z

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This paper cites Azizi, I.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Azizi, I

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:44:51.615535Z

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Observation 991d34a1-f11e-4349-a1a3-e3c65838f127 · outbound

This paper cites an unresolved cited work.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:44:51.477708Z

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Observation fe509e1c-95a7-4a22-b950-758a9e4bc250 · outbound

This paper cites an unresolved cited work.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:44:51.352870Z

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This paper cites an unresolved cited work.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:44:51.236779Z

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This paper cites an unresolved cited work.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:44:51.052127Z

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Observation 66c668ea-0748-43be-b467-d9f2a53e0e3c · outbound

This paper cites an unresolved cited work.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Unresolved cited work

Reference 20

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This paper cites an unresolved cited work.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:44:50.671485Z

Source-reported events for the cited work

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This paper cites Krishna, J.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Krishna, J

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:44:50.500299Z

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This paper cites an unresolved cited work.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:44:50.282838Z

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Observation b6ead8e6-9d89-49d3-a34a-25d46405f8e1 · outbound

This paper cites an unresolved cited work.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:44:50.070202Z

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Observation 03bc786a-ed13-4ffd-9998-ab2da8a09a0b · outbound

This paper cites an unresolved cited work.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:44:49.797679Z

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This paper cites an unresolved cited work.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:44:49.527154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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This paper cites Branco, A.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Branco, A

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:44:49.227936Z

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Observation 176b90da-c999-40a3-882a-efef4947e8c3 · outbound

This paper cites an unresolved cited work.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:44:49.032165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 016a0d3e-6a13-4e47-a972-d06d9b4ae43a · outbound

This paper cites Devlin, M.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Devlin, M

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:44:48.849743Z

Source-reported events for the cited work

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This paper cites an unresolved cited work.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:44:48.652152Z

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Observation 0b406381-6497-40c3-b177-eb3b0e7da876 · outbound

This paper cites an unresolved cited work.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:44:48.377397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0150461c-3fb0-482f-9167-c942eb04b180 · outbound

This paper cites Data-centric NLP Backdoor Defense from the Lens of Memorization.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Data-centric NLP Backdoor Defense from the Lens of Memorization

Reference 32

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Source-reported events for the cited work

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Observation 6e41ad14-2641-417a-a821-f09758947145 · outbound

This paper cites Backdoor Token Unlearning: Exposing and Defending Backdoors in Pretrained Language Models.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Backdoor Token Unlearning: Exposing and Defending Backdoors in Pretrained Language Models

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-08-05T13:44:43.395069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 67f076c6-62c4-4a78-8e91-e5de474224ed · outbound

This paper cites an unresolved cited work.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:44:48.128106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9dbd814e-3dfc-4727-8674-ff8cc00ae51d · outbound

This paper cites Zhang, D.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Zhang, D

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:44:47.916875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0c2b3e3d-da0d-4850-babe-bc3b83fca900 · outbound

This paper cites an unresolved cited work.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:44:47.751922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7432f714-1c13-4f2d-a380-5e1de65c1e08 · outbound

This paper cites an unresolved cited work.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:44:47.595575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 667d7122-d571-49e2-a782-b5bf62d16217 · outbound

This paper cites an unresolved cited work.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:44:47.395875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4ae5417f-cbce-42f4-9d3b-93952f3c344a · outbound

This paper cites an unresolved cited work.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:44:47.185300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 800ba633-6cc2-4094-9877-7ac6a156e8f5 · outbound

This paper cites an unresolved cited work.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:44:46.948395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b9428d9f-3426-4500-81a0-9ff987a87329 · outbound

This paper cites an unresolved cited work.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:44:46.806697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3ddc8e5a-a643-4a17-938d-0c5aabff49ba · outbound

This paper cites Radford, J.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Radford, J

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:44:46.622951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3e80c3b6-7ffa-41ba-add7-cc2b2303f6a8 · outbound

This paper cites Dyrmishi, S.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Dyrmishi, S

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:44:46.461386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 594abd37-7dd0-4cf0-b8d4-69092c2712b3 · outbound

This paper cites Mitchell, Y.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Mitchell, Y

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:44:46.299352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3040ba6c-2149-4b5e-888e-55e7a244307e · outbound

This paper cites Gupta, C.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Gupta, C

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:44:46.110250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0518eef5-9afd-493b-bb43-cb820a396ab3 · outbound

This paper cites an unresolved cited work.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:44:45.890232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 86f30450-c229-4e6e-a3f1-43b195eafafb · outbound

This paper cites Zampieri, S.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Zampieri, S

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:44:45.703389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 74d160d4-fd44-492f-80dc-c82e9c5d4d34 · outbound

This paper cites Patwa, S.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Patwa, S

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:44:45.552084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 734b0fc2-27ad-4163-aaca-ccb723be762a · outbound

This paper cites Gehrmann, H.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Gehrmann, H

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:44:45.353669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 141a22c9-25eb-4ca3-aea2-aeba45f0acab · outbound

This paper cites Ippolito, D.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Ippolito, D

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:44:45.178361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 119e0a14-6c93-4e2f-a1b4-f1e0896f891f · outbound

This paper cites Release Strategies and the Social Impacts of Language Models.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Release Strategies and the Social Impacts of Language Models

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-05T13:44:41.602566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b20ec35-528a-48ff-9dfa-2f9cb2ab89d0 · outbound

This paper cites an unresolved cited work.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:44:44.990415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3bf2815d-24f8-49a5-bea3-794053fb1539 · outbound

This paper cites an unresolved cited work.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Unresolved cited work

Reference 53

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:44:44.822754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1d451abe-8d4a-41b2-b75f-f6a1447fb37b · outbound

This paper cites an unresolved cited work.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Unresolved cited work

Reference 54

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:44:44.636657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 283a287a-a59d-4beb-9567-fd7fcd0352d3 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-05T13:44:41.909329Z

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Observation 8db492b1-f6f0-4fae-808e-dda9e934ef59 · outbound

This paper cites Jiang, Z.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Jiang, Z

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:44:44.409943Z

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Observation ed0f765c-17c1-40ff-9c40-850d8d68e25f · outbound

This paper cites JADE: A Linguistics-based Safety Evaluation Platform for Large Language Models.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models JADE: A Linguistics-based Safety Evaluation Platform for Large Language Models

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-05T13:44:42.021551Z

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Observation f64a7566-e9e6-4d39-9179-b484c31096eb · outbound

This paper cites Xiang, F.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Xiang, F

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:44:44.238016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation eb567b5a-be92-48c1-9c60-9429010ca49a · outbound

This paper cites an unresolved cited work.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Unresolved cited work

Reference 59

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:44:44.058707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation abd64604-a92b-4bf6-adb7-bfd47f9f9259 · outbound

This paper cites Huang, Z.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Huang, Z

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:44:43.932825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bce08bf8-3206-4472-a0c8-becb144e8d43 · outbound

This paper cites an unresolved cited work.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Unresolved cited work

Reference 61

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:44:43.793868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bc97b6c1-17a7-4ac7-ae9c-43cfdd8714f8 · outbound

This paper cites Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-05T13:44:42.510419Z

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Observation ab287774-33e5-4f7b-b50c-296f93d4ccd6 · outbound

This paper cites BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks and Defenses on Large Language Models.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks and Defenses on Large Language Models

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-05T13:44:42.571849Z

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Observation 74942efb-7b31-4065-b2ad-6aa86531e9d5 · outbound

This paper cites Instruction Tuning with GPT-4.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Instruction Tuning with GPT-4

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-05T13:44:42.673983Z

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Observation 3767b6da-1e81-4d4a-aeb8-306581565e7e · outbound

This paper cites an unresolved cited work.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Unresolved cited work

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-05T13:44:42.733896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77038c86-1a7a-4d0a-8353-dc7775480d76 · outbound

This paper cites an unresolved cited work.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Unresolved cited work

Reference 66

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:44:43.647654Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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