Pith. sign in

Paper Citation Record · LEDGER

Expanding Event Modality Applications through a Robust CLIP-Based Encoder

As of 17 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 2 inbound Pith citation observations for arXiv:2412.03093.

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

pith.paper-citation-record.v1
2412.03093 v2

Coverage vector

measured 69 of 69 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:50:59.205085Z

measured 71 of 71 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:59:51.066336Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-12T21:11:07.571282Z

Reference resolution

69 of 69 outbound references displayed

  • verified exact1
  • verified fuzzy46
  • unresolved22
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5a3803d5-f844-40b9-b0e2-2d1dd701cf12 · outbound

This paper cites Unconstrained Open Vocabulary Image Classification: Zero-Shot Transfer from Text to Image via CLIP Inversion.

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

Resolution
verified exact
local_arxiv, observed 2026-08-11T22:50:59.554755Z

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.

source=pdf_text observed=2026-08-11T22:50:58.885676Z digest=sha256:555f26f3686a083633c8ed2ea40e2d3a2500c032297c6987accc6023f1127976

Observation 21aaf855-2519-4707-9cb8-c6a27c331f11 · outbound

This paper cites Learning to prompt clip for monocular depth estimation: Exploring the limits of human language.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder Learning to prompt clip for monocular depth estimation: Exploring the limits of human language

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:51:00.433416Z

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.

source=pdf_text observed=2026-08-11T22:50:58.891175Z digest=sha256:859160dcb15b182331868305bdeaf1f6bada62ab9cf2d4bcf373e856c0244f33

Observation eb684b8d-ab9e-4dc2-9641-c8fa36a46e46 · outbound

This paper cites Graph-based object classifica- tion for neuromorphic vision sensing.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder Graph-based object classifica- tion for neuromorphic vision sensing

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:51:00.417437Z

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.

source=pdf_text observed=2026-08-11T22:50:58.895537Z digest=sha256:22f5f3c0e12c4d7295b76122830b5a4cf7845fe20cf55892e837e91a093bbfa5

Observation 99e2be03-d3e9-4f23-9226-c565ca6f72d1 · outbound

This paper cites A differentiable recurrent surface for asynchronous event-based data.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder A differentiable recurrent surface for asynchronous event-based data

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T22:50:58.900169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:50:58.900169Z digest=sha256:68d5230ad461a940a219d8a1fd53c0ea81868693689fb7e71dbc3d5196458f05

Observation 26243ba6-08ed-428d-a34b-bdb8d6887a49 · outbound

This paper cites Recent Event Camera Innovations: A Survey.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder Recent Event Camera Innovations: A Survey

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-11T22:50:58.904660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:50:58.904660Z digest=sha256:09cbf203e2fe25a83cc0887ba9872e83682492cb5973b2171f1ae8c483f4992c

Observation aee9cbf6-abff-4961-bce8-536885420f46 · outbound

This paper cites Generic attention- model explainability for interpreting bi-modal and encoder- decoder transformers.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder Generic attention- model explainability for interpreting bi-modal and encoder- decoder transformers

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-11T22:50:58.909239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:50:58.909239Z digest=sha256:cd432848c890b4577efbfdabfd066f36cbe9ccaa3baec7aa9d5a12f20ef9a9d0

Observation 480333b1-dff8-459d-bfc2-3aa1abd5ae4a · outbound

This paper cites Image-based clip-guided essence transfer.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder Image-based clip-guided essence transfer

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:51:00.382619Z

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.

source=pdf_text observed=2026-08-11T22:50:58.913988Z digest=sha256:739e5dc2cf6d759a5b7a88e127c9365d45ce1723237c588ca344a7b77dbeeb0c

Observation aa6fdf6f-8c32-4c59-b456-ed63bda860e1 · outbound

This paper cites Understanding Transferable Representation Learning and Zero-shot Transfer in CLIP.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder Understanding Transferable Representation Learning and Zero-shot Transfer in CLIP

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-11T22:50:58.918866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:50:58.918866Z digest=sha256:54bb47001bc7778e8888f13512a11d1d6cb91d1f7a97d3537c7a9bd7f74e9b6b

Observation 67ed22b5-5dd1-457f-979a-7a765117fb13 · outbound

This paper cites Transfer clip for gen- eralizable image denoising.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder Transfer clip for gen- eralizable image denoising

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:51:00.367097Z

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.

source=pdf_text observed=2026-08-11T22:50:58.924531Z digest=sha256:2a7dbc538278dc86da4158237a60f008d60722a3874f8ad49b017c59f4bb2a5c

Observation ae8588e5-f47e-4675-a62b-d32245793f08 · outbound

This paper cites Label-free event-based object recognition via joint learning with image reconstruction from events.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:51:00.351572Z

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.

source=pdf_text observed=2026-08-11T22:50:58.929215Z digest=sha256:d75eab915d62bb88ab70b228feabe910e570dc322b0c237af29a8ed95d4dd432

Observation 821f10f3-40db-4eb5-9a7f-7e2762fc03f1 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder Imagenet: A large-scale hierarchical image database

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T22:50:58.933715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:50:58.933715Z digest=sha256:2519b048eef80d9510d6f9b0395fc8148d1042072d24be12207886c6fbbd7d40

Observation 9ec5e25b-5e50-4012-8c8b-bc700b095cc4 · outbound

This paper cites Event-based vision: A survey.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder Event-based vision: A survey

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T22:50:58.938395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:50:58.938395Z digest=sha256:9de2d088eb9e59ce0cdba1ae17e9571fec824772ac3218fbd22a8dd469e13800

Observation 6525283f-46b6-4912-a813-9c16659e70fb · outbound

This paper cites Clip-adapter: Better vision-language models with feature adapters.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder Clip-adapter: Better vision-language models with feature adapters

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T22:50:58.942907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:50:58.942907Z digest=sha256:ea070dde405b2076bc7c60cf633641863a84e89b342f57b06d6cbeebc6d5dc8b

Observation b75a3667-2d90-42c7-a3e8-77ce2902b382 · outbound

This paper cites End-to-end learning of repre- sentations for asynchronous event-based data.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder End-to-end learning of repre- sentations for asynchronous event-based data

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:51:00.306212Z

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.

source=pdf_text observed=2026-08-11T22:50:58.947666Z digest=sha256:47db6bbaf62bb5d72268f1ff48c7256c718b5ac2dd01ca6cf6011e7ca8380017

Observation dff4b428-4070-449a-b297-5a12a913d13f · outbound

This paper cites Imagebind: One embedding space to bind them all.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder Imagebind: One embedding space to bind them all

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T22:50:58.952187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:50:58.952187Z digest=sha256:e58f62517f36e4245901f93b832c9c6c2f2868e47d42dbe01fa7cc50df580f38

Observation 18402977-93d2-46b5-ab04-9e28f98c9812 · outbound

This paper cites Cyclip: Cyclic contrastive language-image pretraining.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder Cyclip: Cyclic contrastive language-image pretraining

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:51:00.281357Z

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.

source=pdf_text observed=2026-08-11T22:50:58.956599Z digest=sha256:3cfdb7b81070cea6b2b79f1a3f1ea602dd74f4bb0813c43a86681930329127d8

Observation f8cc1f31-9f7d-4acd-99a8-3a3b7e68e90a · outbound

This paper cites EventDrop: data augmentation for event-based learning.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder EventDrop: data augmentation for event-based learning

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-11T22:50:58.961315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:50:58.961315Z digest=sha256:58a406c84825865acdf89ccb4b0b3a9ea153ae85baa630d1c0661d0fee6a7cb6

Observation d05b3de5-a5e3-44e6-a307-84faf0566dbb · outbound

This paper cites Open-vocabulary Object Detection via Vision and Language Knowledge Distillation.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder Open-vocabulary Object Detection via Vision and Language Knowledge Distillation

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-11T22:50:58.966310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:50:58.966310Z digest=sha256:990c194861ed7e0adadedd0e15c4fa00ab19fe1f85840b015ef1f80a8bb7dcd3

Observation f10f3fc0-618c-4b23-b88e-a0ae84a32d77 · outbound

This paper cites Cliptrans: trans- ferring visual knowledge with pre-trained models for multi- modal machine translation.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder Cliptrans: trans- ferring visual knowledge with pre-trained models for multi- modal machine translation

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:51:00.267130Z

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.

source=pdf_text observed=2026-08-11T22:50:58.971400Z digest=sha256:c47d811ed6d3ead84a8a6432a5f67f6f7a48302534550fb148d658b5d94ae364

Observation cbb52e21-8882-4bb8-978e-77107628dd1d · outbound

This paper cites Audioclip: Extending clip to image, text and au- dio.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder Audioclip: Extending clip to image, text and au- dio

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:51:00.251795Z

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.

source=pdf_text observed=2026-08-11T22:50:58.976575Z digest=sha256:f98ca92ba572f49a7801f0a50df9bbbddf36e59f633bb54d11ee72208bf5471e

Observation 4ab15f38-f9fd-4267-b5fe-dbdcc8dfd211 · outbound

This paper cites Lidarclip or: How i learned to talk to point clouds.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder Lidarclip or: How i learned to talk to point clouds

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:51:00.236514Z

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.

source=pdf_text observed=2026-08-11T22:50:58.981508Z digest=sha256:59711027428c46875ac3de0a1a80cd5323ea919a43c3075dd448bde25410f7b4

Observation e51c5ef6-3c2b-47c2-a15e-27c33a327757 · outbound

This paper cites Learning monocular dense depth from events.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder Learning monocular dense depth from events

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:51:00.221553Z

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.

source=pdf_text observed=2026-08-11T22:50:58.985914Z digest=sha256:ca574713edaa3b01d5ed1fea7844ccce35ad97f345907f41893b5dddcb240f78

Observation 21a750da-7840-47ff-a6dd-24be073fac6c · outbound

This paper cites Clip2point: Transfer clip to point cloud classifica- tion with image-depth pre-training.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:51:00.206923Z

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.

source=pdf_text observed=2026-08-11T22:50:58.990327Z digest=sha256:3e8f7d6548018466c08470de1832abcb093c1805549b45c4cfdf811ef6328b03

Observation cb4d03dd-41ab-410b-afb9-ee46c30d5b43 · outbound

This paper cites Transferring pre-trained multimodal rep- resentations with cross-modal similarity matching.Advances in Neural Information Processing Systems, 35:30826–30839,.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:51:00.192561Z

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.

source=pdf_text observed=2026-08-11T22:50:58.994950Z digest=sha256:404a88dd1d32473c9299d40d7c290d88ea23c652659cc721eccbd838eee4ae1a

Observation 38763687-7684-490b-b514-2fa62c9a0fc6 · outbound

This paper cites N-imagenet: Towards robust, fine-grained object recognition with event cameras.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder N-imagenet: Towards robust, fine-grained object recognition with event cameras

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:51:00.177439Z

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.

source=pdf_text observed=2026-08-11T22:50:58.999832Z digest=sha256:bc3a35185db79d11fcb6a59bf9a2f1783ec60419a05bc096f4610e0c9b7f1a17

Observation aacfd93b-eb1c-46fd-895b-00de0a73496d · outbound

This paper cites Masked event modeling: Self-supervised pretraining for event cameras.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder Masked event modeling: Self-supervised pretraining for event cameras

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:51:00.162450Z

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.

source=pdf_text observed=2026-08-11T22:50:59.004538Z digest=sha256:04d0abde3d9a248aa9c377af5455ffcd5084a778c8aa9afb5524c1bca84cae3c

Observation b8e4a749-3b78-4b57-8dbb-540a101cc57d · outbound

This paper cites Graph-based asyn- chronous event processing for rapid object recognition.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder Graph-based asyn- chronous event processing for rapid object recognition

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:51:00.146500Z

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.

source=pdf_text observed=2026-08-11T22:50:59.009309Z digest=sha256:f0b40929b87c2a2399389c452112d9f31694b86011aaf916a10ef2681816c39e

Observation 4b9817b1-5673-4b39-b5ee-65e15572118c · outbound

This paper cites A 128×128 120 db 15 µs latency asynchronous temporal con- trast vision sensor.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:51:00.130610Z

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.

source=pdf_text observed=2026-08-11T22:50:59.014054Z digest=sha256:f4333bc4a0e1af5aa67838faf8891a81ad100a079e0bc408a763751829413937

Observation ce31b631-7d20-47b8-9215-dff4762ae36b · outbound

This paper cites Fast classification and action recognition with event-based imaging.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder Fast classification and action recognition with event-based imaging

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:51:00.115128Z

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.

source=pdf_text observed=2026-08-11T22:50:59.019107Z digest=sha256:493fc667470ab9c806d6bd0235ee63195ad07741c3aa260dc5a9c68d28a6e7ba

Observation d76037cb-227c-4add-b0ea-d28d86e55093 · outbound

This paper cites Revisiting temporal modeling for clip-based image-to-video knowledge transferring.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder Revisiting temporal modeling for clip-based image-to-video knowledge transferring

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:51:00.098636Z

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.

source=pdf_text observed=2026-08-11T22:50:59.023635Z digest=sha256:0e8b66acc92f334f276fdb388a27026eb8db02bd8718e2713365699593d037d0

Observation c31ee535-63f5-44d5-b71d-4fc4b8911437 · outbound

This paper cites A revisit of sparse coding based anomaly detection in stacked rnn framework.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder A revisit of sparse coding based anomaly detection in stacked rnn framework

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:51:00.083593Z

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.

source=pdf_text observed=2026-08-11T22:50:59.028113Z digest=sha256:9e4b1fcee36e141d7c5c07b7919954111511fa25cbc494f654661fa76a683bc3

Observation 610a87d8-6882-4d0a-a88c-51ebcfba46d2 · outbound

This paper cites Event-based asynchronous sparse con- volutional networks.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder Event-based asynchronous sparse con- volutional networks

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:51:00.067564Z

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.

source=pdf_text observed=2026-08-11T22:50:59.032607Z digest=sha256:16b4d9bb6a0261144c08a8df208950a2b7dc6ce59d4556877f83b9f95cd8a694

Observation b9d7b78a-05da-45da-9e93-43dbc95d8ce5 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder Representation Learning with Contrastive Predictive Coding

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-11T22:50:59.036732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:50:59.036732Z digest=sha256:01e360b3a5c200392aa0b58e79d288f46b01195c18caa7af0d1f84011a646f9e

Observation e903d5c0-4ae6-4e1e-ba89-ce6e30a1c2ac · outbound

This paper cites Converting static image datasets to spiking neuromorphic datasets using saccades.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder Converting static image datasets to spiking neuromorphic datasets using saccades

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:51:00.049682Z

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.

source=pdf_text observed=2026-08-11T22:50:59.041271Z digest=sha256:65a71ed3a11aa566b7f174e92aafc1c715b68b326ab79628969f25fbd75283a2

Observation ba2d2925-aacc-4ad5-9998-6987f24a9ff5 · outbound

This paper cites St-adapter: Parameter-efficient image-to-video transfer learning.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder St-adapter: Parameter-efficient image-to-video transfer learning

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:51:00.030027Z

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.

source=pdf_text observed=2026-08-11T22:50:59.045553Z digest=sha256:ff345d4bfd9b396677413eb9711cc599805ef406a4afec7ef2d8735fa3284eec

Observation a45bbe5c-8f3f-44b8-9287-82c7e912bc46 · outbound

This paper cites Back to event basics: Self-supervised learning of image reconstruc- tion for event cameras via photometric constancy.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder Back to event basics: Self-supervised learning of image reconstruc- tion for event cameras via photometric constancy

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:51:00.003968Z

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.

source=pdf_text observed=2026-08-11T22:50:59.049815Z digest=sha256:26c4a60bb2b4bf8f602a143ad12eabface4998a69986357f8f7850bbbb984024

Observation 1c8d35f9-b3af-40f9-8798-e83fa468ea0a · outbound

This paper cites Ecodepth: Effective conditioning of diffusion models for monocular depth estimation.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder Ecodepth: Effective conditioning of diffusion models for monocular depth estimation

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:50:59.986866Z

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.

source=pdf_text observed=2026-08-11T22:50:59.054048Z digest=sha256:1d19cada3b1a1ae736ca9681013ded78b73812b56f298a649658acf96ebcb314

Observation 1d08db6c-b962-442c-a151-871459664118 · outbound

This paper cites Esc: Dataset for environmental sound classi- fication.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder Esc: Dataset for environmental sound classi- fication

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:50:59.971263Z

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.

source=pdf_text observed=2026-08-11T22:50:59.058301Z digest=sha256:d2e7fd28d5fef9de474bb046c1bb985cac78f64b3c13b3fc9c1917fa5e3dc1b7

Observation ecbe0db7-8e86-475d-83e9-a32fb68fb399 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder Learning transferable visual models from natural language supervi- sion

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T22:50:59.062483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:50:59.062483Z digest=sha256:9280e6a61a89590cb953650d2b04c2ec687dfb66296cfbf438d15ea9988c645a

Observation 0be796d2-49a0-49be-8103-34442c6f9ae2 · outbound

This paper cites Events-to-video: Bringing modern computer vision to event cameras.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder Events-to-video: Bringing modern computer vision to event cameras

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:50:59.945811Z

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.

source=pdf_text observed=2026-08-11T22:50:59.066835Z digest=sha256:1eb1e8c6905d44a3bbaff8a936ee8d81eda4ae1874fa26c82cbb7c203ec3b85b

Observation 8143f752-74fa-4110-ac9b-5f1c3f1e5646 · outbound

This paper cites Aegnn: Asynchronous event-based graph neural networks.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder Aegnn: Asynchronous event-based graph neural networks

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:50:59.930028Z

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.

source=pdf_text observed=2026-08-11T22:50:59.071339Z digest=sha256:af01263b2cfa9c7a4b134b0baff3a8f8ecf09b2b313acac439c9a1929c8d7256

Observation c90db542-dcfe-4075-af68-8cd57408210d · outbound

This paper cites Towards understanding the modality gap in clip.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder Towards understanding the modality gap in clip

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:50:59.911004Z

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.

source=pdf_text observed=2026-08-11T22:50:59.075846Z digest=sha256:6ea6cea15abc93b023a6e3dbab7edf1325a1bdd23b03f95ef7fc0bdfc400af4e

Observation a8980ce5-4d15-4c1b-b3fe-8b58a2602538 · outbound

This paper cites Speechclip: Integrating speech with pre-trained vision and language model.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder Speechclip: Integrating speech with pre-trained vision and language model

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:50:59.894007Z

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.

source=pdf_text observed=2026-08-11T22:50:59.080601Z digest=sha256:15f8f77422e64852de1f1484c4c7a65a29293593af43d74b923d77d4c13b2307

Observation 11182a22-d430-4fda-a36d-2a4509b13efd · outbound

This paper cites Hats: Histograms of aver- aged time surfaces for robust event-based object classifica- tion.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:50:59.877001Z

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.

source=pdf_text observed=2026-08-11T22:50:59.085198Z digest=sha256:e3218d0bff6d9bec6fad6a533405f065dd2780091244fbf23ba6c52461b4694d

Observation b33dcb96-d29c-4b9a-868e-fbe91c00ce65 · outbound

This paper cites Real-world anomaly detection in surveillance videos.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder Real-world anomaly detection in surveillance videos

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:50:59.859060Z

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.

source=pdf_text observed=2026-08-11T22:50:59.090125Z digest=sha256:34b41da910ce047b6df140dd013282f99e508483a0cb804632cf62126477e7e1

Observation 263d39e2-db51-4d79-b7da-c8e824d18a69 · outbound

This paper cites Weakly-supervised video anomaly detection with robust temporal feature magni- tude learning.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder Weakly-supervised video anomaly detection with robust temporal feature magni- tude learning

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:50:59.841057Z

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.

source=pdf_text observed=2026-08-11T22:50:59.094730Z digest=sha256:1ebd395aea42b4a389de749da7f0a51886c4f57fb60307f2b609d777641c26dc

Observation 7983bc49-3237-428b-beeb-dc132f7648a4 · outbound

This paper cites Clipn for zero-shot ood detection: Teaching clip to say no.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder Clipn for zero-shot ood detection: Teaching clip to say no

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-11T22:50:59.099593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:50:59.099593Z digest=sha256:923cf2965b14c01a9a98b09f3c5f06ead968939fff9ce30db8abec6326c57094

Observation 9a4916f5-f44c-4cd2-b026-16ebf663c7d5 · outbound

This paper cites Ev-gait: Event- based robust gait recognition using dynamic vision sensors.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder Ev-gait: Event- based robust gait recognition using dynamic vision sensors

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:50:59.809896Z

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.

source=pdf_text observed=2026-08-11T22:50:59.104100Z digest=sha256:652d277b68562c376a98e06c65150da2191c847f0c4434ad24f2bf64f9829368

Observation 222294a2-f625-4ea9-9c6c-353d409e862c · outbound

This paper cites Transferring clip’s knowledge into zero-shot point cloud semantic seg- mentation.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder Transferring clip’s knowledge into zero-shot point cloud semantic seg- mentation

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:50:59.793298Z

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.

source=pdf_text observed=2026-08-11T22:50:59.108998Z digest=sha256:0ce579fcf0a3b97451abbec09df2facd1150c6cd3df90a0344be02d68dab694c

Observation a38b14db-b490-42a5-b068-6f7016b2f919 · outbound

This paper cites Exploiting spatial sparsity for event cameras with visual transformers.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder Exploiting spatial sparsity for event cameras with visual transformers

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:50:59.772319Z

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.

source=pdf_text observed=2026-08-11T22:50:59.114001Z digest=sha256:ff1f051d576e9e62409b705d533134a0a6502ca5dc88cd04ab84cbb9f78ede04

Observation b9dd9e0b-0e7c-4526-aced-5c5066f0178f · outbound

This paper cites Improving zero-shot generalization for clip with synthesized prompts.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder Improving zero-shot generalization for clip with synthesized prompts

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:50:59.755069Z

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.

source=pdf_text observed=2026-08-11T22:50:59.118718Z digest=sha256:3cdb46bfebcb41490e28c5cae0d7a7d31d5268e96332b9f2722ac9b1ffadd598

Observation 18b32784-3ca4-45f3-bca4-73dc4cd275e3 · outbound

This paper cites Wav2clip: Learning robust audio repre- sentations from clip.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder Wav2clip: Learning robust audio repre- sentations from clip

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:50:59.736793Z

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.

source=pdf_text observed=2026-08-11T22:50:59.123455Z digest=sha256:1d9b36a69eddc78521e623e35d86085bd0b9de91fb3cc09a14a8f62645848b11

Observation 4d0a44aa-cd69-436a-932c-a1b353d559ce · outbound

This paper cites EventCLIP: Adapting CLIP for Event-based Object Recognition.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder EventCLIP: Adapting CLIP for Event-based Object Recognition

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-11T22:50:59.128397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:50:59.128397Z digest=sha256:b191782a4b951bcf2efe8bc8c6531318be04e9bd5206722828d5be5664ebff14

Observation 89907a92-55ef-41c4-b7d4-18babd47e028 · outbound

This paper cites Event camera data pre-training.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder Event camera data pre-training

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:50:59.709095Z

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.

source=pdf_text observed=2026-08-11T22:50:59.133543Z digest=sha256:5ca64d31afc3f6f54c645870ae460a7e27ee544ee864ba7a1e6abb630574770f

Observation 2c8cb96e-955c-4098-a4ff-bd3a07fd7c3c · outbound

This paper cites Event-guided low- light video semantic segmentation.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder Event-guided low- light video semantic segmentation

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-11T22:50:59.138237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:50:59.138237Z digest=sha256:fdb86464df89693578fca4f080fc58001feb6c209253fc2ddd68c64e962b0d7f

Observation 219accb7-f14a-47e9-b123-0bd5e55f2d29 · outbound

This paper cites Clip2: Contrastive language- image-point pretraining from real-world point cloud data.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder Clip2: Contrastive language- image-point pretraining from real-world point cloud data

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:50:59.694032Z

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.

source=pdf_text observed=2026-08-11T22:50:59.143005Z digest=sha256:a0de7481deff1e381a3c168f29d01e2b86396ce5c802299b0ea330a56829bca9

Observation 6543e224-f664-4552-bb42-c0293b2afbe2 · outbound

This paper cites Vision-language models for vision tasks: A survey.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder Vision-language models for vision tasks: A survey

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-11T22:50:59.147647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:50:59.147647Z digest=sha256:884376afb24a0b8cc9d83cd95534c1697c488ff26331795a4d3842dadd6e4b8c

Observation 62302795-f6d8-4aa6-985e-2b3f2f64be63 · outbound

This paper cites Pointclip: Point cloud understanding by clip.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder Pointclip: Point cloud understanding by clip

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-11T22:50:59.152995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:50:59.152995Z digest=sha256:2cbc225634383a30cb260ccc63f961349c3854f9d84853b4f1706d5bbbdea83a

Observation 709d7b41-c539-405b-be9b-6cd80f411f32 · outbound

This paper cites Can language understand depth? In Proceedings of the 30th ACM International Conference on Multimedia, pages 6868–6874,.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:50:59.660915Z

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.

source=pdf_text observed=2026-08-11T22:50:59.157632Z digest=sha256:d8b7512fc4af28fc1b4911b24bf1ba9e2251e0025821b8c5d4f3849ba25b2d19

Observation be37f930-1e1e-4df5-b071-e24d318eb53f · outbound

This paper cites Tip- adapter: Training-free adaption of clip for few-shot classi- fication.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder Tip- adapter: Training-free adaption of clip for few-shot classi- fication

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:50:59.645427Z

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.

source=pdf_text observed=2026-08-11T22:50:59.163001Z digest=sha256:85115e573b777a0a9a2a634414a779147aa64bd12cc256255185cc2c2772399d

Observation 4d696e3a-5504-4bf1-bf75-2c953456a5a9 · outbound

This paper cites Eventdance: Unsupervised source- free cross-modal adaptation for event-based object recogni- tion.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder Eventdance: Unsupervised source- free cross-modal adaptation for event-based object recogni- tion

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-11T22:50:59.168079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:50:59.168079Z digest=sha256:17caa634f9b688ded91b86bd0a5bdb5401f6bd9e02efb9509dc6b5be6d362245

Observation 1729ad24-a7d8-45bb-865d-b702ea4f1737 · outbound

This paper cites Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-11T22:50:59.172895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:50:59.172895Z digest=sha256:a1d3266e6027add2a7c186333e8b54454ab81bd8429e033015c2e9df06403e06

Observation 5faf4cd9-bc2a-48e3-97e1-14d0023a07a4 · outbound

This paper cites Preventing zero-shot transfer degradation in continual learning of vision-language mod- els.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder Preventing zero-shot transfer degradation in continual learning of vision-language mod- els

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:50:59.619395Z

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.

source=pdf_text observed=2026-08-11T22:50:59.177859Z digest=sha256:e51456ef4bf992019209afee1f70913b592823172cb4ab766e061e98fbfbc047

Observation 3c1a4a4b-bc96-4dff-b5a0-0b2f641e11b1 · outbound

This paper cites Regionclip: Region- based language-image pretraining.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder Regionclip: Region- based language-image pretraining

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:50:59.603685Z

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.

source=pdf_text observed=2026-08-11T22:50:59.182321Z digest=sha256:5655ca573df1ca537eb10953d70130e734f8185bafc1fb593ed58129130b3be5

Observation 0215a477-74e3-46bc-9a79-ef3bd1cb3c63 · outbound

This paper cites EventBind: Learning a Unified Representation to Bind Them All for Event-based Open-world Understanding.

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

Resolution
unresolved
no resolver link, observed 2026-08-11T22:50:59.186930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:50:59.186930Z digest=sha256:841ed64a8478960d9b5f5705224efb06489ad686c5a358aeb262cedb53496cd3

Observation 5f7b8734-13ba-4d03-8bc9-23fc078b2407 · outbound

This paper cites Eventbind: Learning a unified representation to bind them all for event-based open-world understanding.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:50:59.587898Z

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.

source=pdf_text observed=2026-08-11T22:50:59.191727Z digest=sha256:b4e14c682ea790c238246b1df64e4846d6d030f6421f5050c520f2273f32c5df

Observation 6af4ced4-d257-4474-aab1-5bc29f273ffb · outbound

This paper cites Anomalyclip: Object-agnostic prompt learn- ing for zero-shot anomaly detection.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder Anomalyclip: Object-agnostic prompt learn- ing for zero-shot anomaly detection

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-11T22:50:59.196331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:50:59.196331Z digest=sha256:55f0b9bf44f42c36aa4dfbb9c62aff18ee2f6a0d27f68df8cfe306916d368155

Observation 02bf9f7d-2fd7-4689-bd2e-37722b975cfa · outbound

This paper cites A brief introduction to weakly supervised learning.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder A brief introduction to weakly supervised learning

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:50:59.571875Z

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.

source=pdf_text observed=2026-08-11T22:50:59.200685Z digest=sha256:d9238e635c2376e70127d67dedad6db0f1ba35c3104dc0fe684d5ae3fdcf3a62

Observation 6f641583-3407-4a50-abe9-08ecb4bcf23a · outbound

This paper cites LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment.

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

Resolution
unresolved
no resolver link, observed 2026-08-11T22:50:59.205085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:50:59.205085Z digest=sha256:318bea3bad19a1152047979d17293c9612cc97d2e171dc30ad8cc28f36d59b7e

Pith citing papers

Observation ed8b3608-7fe0-4662-8ff6-435354978716 · inbound

Continuous GNN-based Anomaly Detection on Edge using Efficient Adaptive Knowledge Graph Learning cites this paper.

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

Resolution
verified exact
local_arxiv, observed 2026-08-12T21:11:07.578297Z

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.

source=pdf_text observed=2026-08-12T21:11:07.359765Z digest=sha256:01d8b53b35e8fe62715db7ceb01ab901151ffa1a5def2a28241e86d708026645

Observation b1a76d88-32eb-425a-a5f0-c9c36982733c · inbound

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection cites this paper.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Expanding Event Modality Applications through a Robust CLIP-Based Encoder

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-16T00:59:51.066336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:59:51.066336Z digest=sha256:0760613bcb8f339d8e848d691ee9801637c04b15fbd2e9da45f86f8cc667182b