Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T22:50:59.205085Z
Paper Citation Record · LEDGER
As of 13 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 1 inbound Pith citation observation for arXiv:2412.03093.
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 2026-08-11T22:50:59.205085Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T21:11:07.359765Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-12T21:11:07.571282Z
69 of 69 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 5a3803d5-f844-40b9-b0e2-2d1dd701cf12 · outbound
Expanding Event Modality Applications through a Robust CLIP-Based Encoder Unconstrained Open Vocabulary Image Classification: Zero-Shot Transfer from Text to Image via CLIP Inversion
Reference 1
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Observation 21aaf855-2519-4707-9cb8-c6a27c331f11 · outbound
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Reference 2
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Observation eb684b8d-ab9e-4dc2-9641-c8fa36a46e46 · outbound
Expanding Event Modality Applications through a Robust CLIP-Based Encoder Graph-based object classifica- tion for neuromorphic vision sensing
Reference 3
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Observation 99e2be03-d3e9-4f23-9226-c565ca6f72d1 · outbound
Expanding Event Modality Applications through a Robust CLIP-Based Encoder A differentiable recurrent surface for asynchronous event-based data
Reference 4
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Observation 26243ba6-08ed-428d-a34b-bdb8d6887a49 · outbound
Expanding Event Modality Applications through a Robust CLIP-Based Encoder Recent Event Camera Innovations: A Survey
Reference 5
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Observation aee9cbf6-abff-4961-bce8-536885420f46 · outbound
Expanding Event Modality Applications through a Robust CLIP-Based Encoder Generic attention- model explainability for interpreting bi-modal and encoder- decoder transformers
Reference 6
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Observation 480333b1-dff8-459d-bfc2-3aa1abd5ae4a · outbound
Expanding Event Modality Applications through a Robust CLIP-Based Encoder Image-based clip-guided essence transfer
Reference 7
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Observation aa6fdf6f-8c32-4c59-b456-ed63bda860e1 · outbound
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Reference 8
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Observation 67ed22b5-5dd1-457f-979a-7a765117fb13 · outbound
Expanding Event Modality Applications through a Robust CLIP-Based Encoder Transfer clip for gen- eralizable image denoising
Reference 9
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Observation ae8588e5-f47e-4675-a62b-d32245793f08 · outbound
Expanding Event Modality Applications through a Robust CLIP-Based Encoder Label-free event-based object recognition via joint learning with image reconstruction from events
Reference 10
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Observation 821f10f3-40db-4eb5-9a7f-7e2762fc03f1 · outbound
Expanding Event Modality Applications through a Robust CLIP-Based Encoder Imagenet: A large-scale hierarchical image database
Reference 11
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Observation 9ec5e25b-5e50-4012-8c8b-bc700b095cc4 · outbound
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Reference 12
Source-reported events for the cited work
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Observation 6525283f-46b6-4912-a813-9c16659e70fb · outbound
Expanding Event Modality Applications through a Robust CLIP-Based Encoder Clip-adapter: Better vision-language models with feature adapters
Reference 13
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Observation b75a3667-2d90-42c7-a3e8-77ce2902b382 · outbound
Expanding Event Modality Applications through a Robust CLIP-Based Encoder End-to-end learning of repre- sentations for asynchronous event-based data
Reference 14
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Observation dff4b428-4070-449a-b297-5a12a913d13f · outbound
Expanding Event Modality Applications through a Robust CLIP-Based Encoder Imagebind: One embedding space to bind them all
Reference 15
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Observation 18402977-93d2-46b5-ab04-9e28f98c9812 · outbound
Expanding Event Modality Applications through a Robust CLIP-Based Encoder Cyclip: Cyclic contrastive language-image pretraining
Reference 16
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Observation f8cc1f31-9f7d-4acd-99a8-3a3b7e68e90a · outbound
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Reference 17
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Observation d05b3de5-a5e3-44e6-a307-84faf0566dbb · outbound
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Reference 18
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Observation f10f3fc0-618c-4b23-b88e-a0ae84a32d77 · outbound
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Reference 19
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Observation cbb52e21-8882-4bb8-978e-77107628dd1d · outbound
Expanding Event Modality Applications through a Robust CLIP-Based Encoder Audioclip: Extending clip to image, text and au- dio
Reference 20
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Observation 4ab15f38-f9fd-4267-b5fe-dbdcc8dfd211 · outbound
Expanding Event Modality Applications through a Robust CLIP-Based Encoder Lidarclip or: How i learned to talk to point clouds
Reference 21
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Observation e51c5ef6-3c2b-47c2-a15e-27c33a327757 · outbound
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Reference 22
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Observation 21a750da-7840-47ff-a6dd-24be073fac6c · outbound
Expanding Event Modality Applications through a Robust CLIP-Based Encoder Clip2point: Transfer clip to point cloud classifica- tion with image-depth pre-training
Reference 23
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Observation cb4d03dd-41ab-410b-afb9-ee46c30d5b43 · outbound
Expanding Event Modality Applications through a Robust CLIP-Based Encoder Transferring pre-trained multimodal rep- resentations with cross-modal similarity matching.Advances in Neural Information Processing Systems, 35:30826–30839,
Reference 24
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Observation 38763687-7684-490b-b514-2fa62c9a0fc6 · outbound
Expanding Event Modality Applications through a Robust CLIP-Based Encoder N-imagenet: Towards robust, fine-grained object recognition with event cameras
Reference 25
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Observation aacfd93b-eb1c-46fd-895b-00de0a73496d · outbound
Expanding Event Modality Applications through a Robust CLIP-Based Encoder Masked event modeling: Self-supervised pretraining for event cameras
Reference 26
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Observation b8e4a749-3b78-4b57-8dbb-540a101cc57d · outbound
Expanding Event Modality Applications through a Robust CLIP-Based Encoder Graph-based asyn- chronous event processing for rapid object recognition
Reference 27
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Observation 4b9817b1-5673-4b39-b5ee-65e15572118c · outbound
Expanding Event Modality Applications through a Robust CLIP-Based Encoder A 128×128 120 db 15 µs latency asynchronous temporal con- trast vision sensor
Reference 28
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Observation ce31b631-7d20-47b8-9215-dff4762ae36b · outbound
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Reference 29
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Observation d76037cb-227c-4add-b0ea-d28d86e55093 · outbound
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Reference 30
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Observation c31ee535-63f5-44d5-b71d-4fc4b8911437 · outbound
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Reference 31
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Observation 610a87d8-6882-4d0a-a88c-51ebcfba46d2 · outbound
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Reference 32
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Observation b9d7b78a-05da-45da-9e93-43dbc95d8ce5 · outbound
Expanding Event Modality Applications through a Robust CLIP-Based Encoder Representation Learning with Contrastive Predictive Coding
Reference 33
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Observation e903d5c0-4ae6-4e1e-ba89-ce6e30a1c2ac · outbound
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Reference 34
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Observation ba2d2925-aacc-4ad5-9998-6987f24a9ff5 · outbound
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Reference 35
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Reference 36
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Observation 1c8d35f9-b3af-40f9-8798-e83fa468ea0a · outbound
Expanding Event Modality Applications through a Robust CLIP-Based Encoder Ecodepth: Effective conditioning of diffusion models for monocular depth estimation
Reference 37
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Reference 38
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Observation ecbe0db7-8e86-475d-83e9-a32fb68fb399 · outbound
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Reference 39
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Observation 0be796d2-49a0-49be-8103-34442c6f9ae2 · outbound
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Reference 40
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Observation 8143f752-74fa-4110-ac9b-5f1c3f1e5646 · outbound
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Reference 41
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Observation c90db542-dcfe-4075-af68-8cd57408210d · outbound
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Reference 42
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Observation a8980ce5-4d15-4c1b-b3fe-8b58a2602538 · outbound
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Reference 43
Source-reported events for the cited work
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Observation 11182a22-d430-4fda-a36d-2a4509b13efd · outbound
Expanding Event Modality Applications through a Robust CLIP-Based Encoder Hats: Histograms of aver- aged time surfaces for robust event-based object classifica- tion
Reference 44
Source-reported events for the cited work
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Observation b33dcb96-d29c-4b9a-868e-fbe91c00ce65 · outbound
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Reference 45
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Reference 46
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Expanding Event Modality Applications through a Robust CLIP-Based Encoder Clipn for zero-shot ood detection: Teaching clip to say no
Reference 47
Source-reported events for the cited work
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Reference 48
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Reference 49
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Observation a38b14db-b490-42a5-b068-6f7016b2f919 · outbound
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Reference 50
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Observation b9dd9e0b-0e7c-4526-aced-5c5066f0178f · outbound
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Reference 51
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Reference 52
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Observation 4d0a44aa-cd69-436a-932c-a1b353d559ce · outbound
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Reference 53
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Observation 89907a92-55ef-41c4-b7d4-18babd47e028 · outbound
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Reference 54
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Observation 2c8cb96e-955c-4098-a4ff-bd3a07fd7c3c · outbound
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Reference 55
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Reference 56
Source-reported events for the cited work
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Observation 6543e224-f664-4552-bb42-c0293b2afbe2 · outbound
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Reference 57
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Observation 62302795-f6d8-4aa6-985e-2b3f2f64be63 · outbound
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Reference 58
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Observation 709d7b41-c539-405b-be9b-6cd80f411f32 · outbound
Expanding Event Modality Applications through a Robust CLIP-Based Encoder Can language understand depth? In Proceedings of the 30th ACM International Conference on Multimedia, pages 6868–6874,
Reference 59
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Observation be37f930-1e1e-4df5-b071-e24d318eb53f · outbound
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Reference 60
Source-reported events for the cited work
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Observation 4d696e3a-5504-4bf1-bf75-2c953456a5a9 · outbound
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Reference 61
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Observation 1729ad24-a7d8-45bb-865d-b702ea4f1737 · outbound
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Reference 62
Source-reported events for the cited work
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Observation 5faf4cd9-bc2a-48e3-97e1-14d0023a07a4 · outbound
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Reference 63
Source-reported events for the cited work
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Observation 3c1a4a4b-bc96-4dff-b5a0-0b2f641e11b1 · outbound
Expanding Event Modality Applications through a Robust CLIP-Based Encoder Regionclip: Region- based language-image pretraining
Reference 64
Source-reported events for the cited work
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Observation 0215a477-74e3-46bc-9a79-ef3bd1cb3c63 · outbound
Expanding Event Modality Applications through a Robust CLIP-Based Encoder EventBind: Learning a Unified Representation to Bind Them All for Event-based Open-world Understanding
Reference 65
Source-reported events for the cited work
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Observation 5f7b8734-13ba-4d03-8bc9-23fc078b2407 · outbound
Expanding Event Modality Applications through a Robust CLIP-Based Encoder Eventbind: Learning a unified representation to bind them all for event-based open-world understanding
Reference 66
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Observation 6af4ced4-d257-4474-aab1-5bc29f273ffb · outbound
Expanding Event Modality Applications through a Robust CLIP-Based Encoder Anomalyclip: Object-agnostic prompt learn- ing for zero-shot anomaly detection
Reference 67
Source-reported events for the cited work
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Observation 02bf9f7d-2fd7-4689-bd2e-37722b975cfa · outbound
Expanding Event Modality Applications through a Robust CLIP-Based Encoder A brief introduction to weakly supervised learning
Reference 68
Source-reported events for the cited work
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Observation 6f641583-3407-4a50-abe9-08ecb4bcf23a · outbound
Expanding Event Modality Applications through a Robust CLIP-Based Encoder LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment
Reference 69
Source-reported events for the cited work
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Observation ed8b3608-7fe0-4662-8ff6-435354978716 · inbound
Continuous GNN-based Anomaly Detection on Edge using Efficient Adaptive Knowledge Graph Learning Expanding Event Modality Applications through a Robust CLIP-Based Encoder
Reference 21
Source-reported events for the cited work
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