Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T00:58:09.678741Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2506.12411.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T00:58:09.678741Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
54 of 54 outbound references displayed
External citation measurements
No source-named external measurement is stored.
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InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning Unresolved cited work
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Observation bec024ca-0a90-4dde-9f99-dee4ce2cf4b6 · outbound
InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning Unresolved cited work
Reference 2
Source-reported events for the cited work
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Observation 66368ee7-5148-43f7-9856-8b8686591896 · outbound
InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning Unresolved cited work
Reference 3
Source-reported events for the cited work
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Observation 782e7c30-ea72-48f6-bbcd-7ce8eb20e450 · outbound
InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning Unresolved cited work
Reference 4
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Observation b4b538d3-911d-4cc9-977d-eb2ee871ee28 · outbound
InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning Unresolved cited work
Reference 5
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Observation 8aad8d34-8065-4653-8463-0e9ff7c17d03 · outbound
InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning Poisoning and Backdooring Contrastive Learning
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Observation bcc25f90-56ca-49ea-a96f-08f98366127d · outbound
InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning Unresolved cited work
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Observation 474a227a-8b09-4c8f-b608-e5bc84e0e9e5 · outbound
InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning
Reference 8
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Observation 276f4202-75b9-43d5-b962-9ca78f2917a6 · outbound
InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning Fine-grained Image Captioning with CLIP Reward
Reference 9
Source-reported events for the cited work
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Observation 0f5bccea-8dc9-46a9-8be0-0363e57135e6 · outbound
InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning In Proceedings of the IEEE/CVF International Conference on Computer Vision
Reference 10
Source-reported events for the cited work
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Observation da3006bc-2a3e-4827-a30f-e1cb6c25853c · outbound
InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning Does CLIP Benefit Visual Question Answering in the Medical Domain as Much as it Does in the General Domain?
Reference 11
Source-reported events for the cited work
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Observation 2bf837da-6341-44a3-a185-0e9cefdbe5d8 · outbound
InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning Unresolved cited work
Reference 12
Source-reported events for the cited work
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Observation ed37743c-684b-4fa0-bfb0-de7e57aaa236 · outbound
InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning Unresolved cited work
Reference 13
Source-reported events for the cited work
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Observation 3f03d07e-e331-480f-b489-41264ecb5bbb · outbound
InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning Unresolved cited work
Reference 14
Source-reported events for the cited work
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Observation 36227634-8e6b-4d2b-a0c3-fa2c80c00499 · outbound
InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain
Reference 15
Source-reported events for the cited work
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Observation 548cdd90-0b7f-4f9d-97b9-bb046d6d79b6 · outbound
InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning Unresolved cited work
Reference 16
Source-reported events for the cited work
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Observation be717520-b9e9-468b-ad97-8616e44c4784 · outbound
InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning Unresolved cited work
Reference 17
Source-reported events for the cited work
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Observation 3b646fc5-bbda-47fc-8a02-d1f7e0ad2559 · outbound
InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning Unresolved cited work
Reference 18
Source-reported events for the cited work
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Observation ed4b9740-85bf-4bfb-96f6-1771e2c9f968 · outbound
InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems
Reference 19
Source-reported events for the cited work
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Observation ee06a26a-0aa5-40f6-a2fd-248a3f8f5490 · outbound
InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning Unresolved cited work
Reference 20
Source-reported events for the cited work
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Observation 84641a97-ad00-49c1-83fa-8e34cdf70639 · outbound
InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning Unresolved cited work
Reference 21
Source-reported events for the cited work
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Observation ff6317e0-9d8c-42b3-bf96-e7ba53cfa97f · outbound
InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning Unresolved cited work
Reference 22
Source-reported events for the cited work
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Observation e64eb001-0d69-4092-b138-0fc511bc91b9 · outbound
InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning Adversarial Backdoor Defense in CLIP
Reference 23
Source-reported events for the cited work
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Observation b57c770f-b9c4-4c7f-bc5a-8955e5cde1af · outbound
InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning Unresolved cited work
Reference 24
Source-reported events for the cited work
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Observation 9477f469-afcd-4b26-b2bb-cd2acf2ebf28 · outbound
InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning Unresolved cited work
Reference 25
Source-reported events for the cited work
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Observation 6ce4cd3d-2c32-4367-98dc-f4eaf511e549 · outbound
InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning Unresolved cited work
Reference 26
Source-reported events for the cited work
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Observation ca7f28a0-810b-49bf-9ddc-9aa37a87c386 · outbound
InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning Unresolved cited work
Reference 27
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 899abf93-9f16-4da4-8fb5-565f8ae250f9 · outbound
InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning WaNet -- Imperceptible Warping-based Backdoor Attack
Reference 28
Source-reported events for the cited work
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Observation 89ff9989-a761-4f9b-8b11-c096db06631f · outbound
InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning Unresolved cited work
Reference 29
Source-reported events for the cited work
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Observation cf1e06e5-7ae9-47e5-bee9-f8ce5f3120ed · outbound
InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning ClipCap: CLIP Prefix for Image Captioning
Reference 30
Source-reported events for the cited work
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Observation 98429e3d-cf7e-469a-b29b-58edf37494c3 · outbound
InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning Unresolved cited work
Reference 31
Source-reported events for the cited work
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Observation 291b77db-dfc9-420b-8b7d-8c313ddbb79e · outbound
InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning Unresolved cited work
Reference 32
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Observation c01e2e0d-695e-47c9-9eb7-61fda0f25781 · outbound
InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning Berg, and Li Fei-Fei
Reference 33
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Observation 831cd559-4479-4ac7-915d-4fa6a4e529e9 · outbound
InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning Representation Learning with Contrastive Predictive Coding
Reference 34
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Observation 318071a6-5fe9-4f9b-bd69-ab8c6b8d391d · outbound
InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning Unresolved cited work
Reference 35
Source-reported events for the cited work
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Observation ea5b6dda-9dea-4371-9079-47cc31a48fb7 · outbound
InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning Unresolved cited work
Reference 36
Source-reported events for the cited work
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Observation fcd417a0-2040-4476-be6f-513a30dd0f50 · outbound
InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning Unresolved cited work
Reference 37
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Observation 526db743-1e7e-47f6-b8df-e5c187121f4a · outbound
InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning Unresolved cited work
Reference 38
Source-reported events for the cited work
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Observation 64587695-d22b-4973-9df7-2dffc9690d1e · outbound
InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning Perturb and Recover: Fine-tuning for Effective Backdoor Removal from CLIP
Reference 39
Source-reported events for the cited work
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Observation 3b11aed1-f2ad-4d32-aa52-69b2712c2a61 · outbound
InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning Unresolved cited work
Reference 40
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Observation 2969c39c-6f36-4f36-9b36-efd9d058a769 · outbound
InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning UNICORN: A Unified Backdoor Trigger Inversion Framework
Reference 41
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Observation 434750a3-9342-49c7-adb8-ace2f71ea680 · outbound
InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning Unresolved cited work
Reference 42
Source-reported events for the cited work
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Observation 28aaa2df-176f-47bb-b3de-d605552408f9 · outbound
InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning Unresolved cited work
Reference 43
Source-reported events for the cited work
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Observation b099b8fb-c73f-4295-8fc8-19ea83025ee2 · outbound
InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning Unresolved cited work
Reference 44
Source-reported events for the cited work
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Observation 2f8dd535-6858-47e4-a11e-af6e5957bcf8 · outbound
InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning Unresolved cited work
Reference 45
Source-reported events for the cited work
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Observation 73da77c8-ac0a-45d3-9e9c-4ca15ea6f18a · outbound
InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning CleanerCLIP: Fine-grained Counterfactual Semantic Augmentation for Backdoor Defense in Contrastive Learning
Reference 46
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Observation ed230711-82c9-4b0f-987c-5dbc47515270 · outbound
InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning Better Safe than Sorry: Pre-training CLIP against Targeted Data Poisoning and Backdoor Attacks
Reference 47
Source-reported events for the cited work
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Observation e16d5437-7c0f-4c5f-8659-5300e09989cd · outbound
InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning Unresolved cited work
Reference 48
Source-reported events for the cited work
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Observation 76e6c946-c2a0-4b10-9f77-b8b9e4d732c1 · outbound
InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning Unresolved cited work
Reference 49
Source-reported events for the cited work
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Observation 9e9058f1-d6d7-44e6-aa1d-8dca3e77fa6e · outbound
InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning Unresolved cited work
Reference 50
Source-reported events for the cited work
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Observation 72ec37e2-4d72-4d8b-a312-dec80365c288 · outbound
InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning Unresolved cited work
Reference 51
Source-reported events for the cited work
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Observation 2abf3fb8-a4ce-49e6-9b95-60f2a9305bbf · outbound
Reference 54
Source-reported events for the cited work
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Observation 9de3daee-3b09-45b5-a912-e3ff0acc984d · outbound
InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning In Proceedings of the IEEE/CVF International Conference on Computer Vision
Reference 2023
Source-reported events for the cited work
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Observation f74a6421-ae61-43c2-a35f-3148aab706d0 · outbound
InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
Reference 2024
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
No inbound Pith citation observations are available.