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Paper Citation Record · LEDGER

Expanding Event Modality Applications through a Robust CLIP-Based Encoder

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.

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 70 of 70 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:11:07.359765Z

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:50:58.885676Z digest=sha256:35d2bb8b1f02a4e5da2d640bee872c1ad67017f36dfc6ed0a63fb910cb65e4c5

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:50:58.891175Z digest=sha256:e5677b02def2d10a5a569a0454dd84165efddc972c126d19dc19f915acd1a4ea

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:50:58.895537Z digest=sha256:773fe3ecec31338321599beab2e35950c5fae740ebe49d88d95d90cb6e9d014a

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:f897aa5b5c7f3bf3b45be62e6e9c4510f3d3d7a9b250e1b749dd7e93807a7a20

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=sha256:97342cea566091b027fba0ea7cde3607765d8a128851c9f0ed42c66fd5daaedf

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:ec70132fc43d66ee1494dbc38e306cdbfd5b8cf98e5d2c6ddae4df1e1ea1c299

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:50:58.913988Z digest=sha256:b48574d0c7be1fdeadee97643d43f6ec0c66416aaff6fc883a6c9b5976543ced

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=sha256:42bff23209b18dd9c0b2033a932834ee41d4e3bf405b88d0b4c541fc199da731

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:50:58.924531Z digest=sha256:63dcdc27335a78b2ebd492aeebe49e4990cd8d578e0dea0149f1f49d1559e209

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:50:58.929215Z digest=sha256:cf9b6c0b15f31d2cd074e4b2a1a94b8dcf31d0cfe7e19e2cf0235ec74c20c61f

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=sha256:1649a8e38764841cf50cf4cf279d66efb776b49b6a0836d805c598e127d8c999

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:c447aaa54d0f388b83e9cf9d099b0c42f8f45403354337f55f0b856038039e22

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=sha256:5525be3987bcddf3eb18eebf4c6a68dbb5fe333e87e736cd75f3f4157131b1fb

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:50:58.947666Z digest=sha256:0dab6145ff7bc8930448c74a692c7d56ba87b9460db92cee125fa17b84102cdb

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:e32a6b347a29d4f7b85c66fb44475acb3dba79945bae5dbec668f944e9a1b03d

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:50:58.956599Z digest=sha256:dfdf248bd4025e817af30a5c67fcd23d947ff60f1c8404ee60070fc3b5212a4b

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=sha256:31eaa5314c0aae0d05d634ec8fcd321d0069b210197c0ad998429445f625ebd5

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=sha256:2c518aeabda0718dcabec786f168da4197b0826622e0945030a8383ae043483b

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:50:58.971400Z digest=sha256:aefdf9d1594be1e9dd195d000c40d789dfa499d142446eec49e28fd51a596817

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:50:58.976575Z digest=sha256:8e53042e491a6826e0503d8bc0aec89bc19c88741df8861b0d6652473da866ea

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:50:58.981508Z digest=sha256:d620462860d26ef24f946938baac1da6b1bfca16d4192e9bba03951c255a5974

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:50:58.985914Z digest=sha256:e892a901a42e0d7b1bf7aae5ddb8582ec4468ce0ef60ada88f1cccf7759d5854

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:50:58.990327Z digest=sha256:d0e3c86a8e2ba34a5484d82a2d26643310872bf2a6c9794a50ab81207fa842f0

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:50:58.994950Z digest=sha256:11d289153918cb87a03f5eec54c29712705d505d6037c526d3ca75833a93cd3b

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:50:58.999832Z digest=sha256:855c03af488d907b832ea0b999c7d8b55a127ec6ba81b7fbb0e194bbbf61089a

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:50:59.004538Z digest=sha256:588293f5b1cd113d5ed1a855719cc66f54c2839231cc36becffd25c86ca9f521

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:50:59.009309Z digest=sha256:4f51bfd0ab9e7be46651c842db526fadc91ba728251c0343bd4d7847dcf69f7e

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:50:59.014054Z digest=sha256:41d9def8f9ca56fa971bfbe2c8524ecbda5f065abf131ba1b86794837c6e4233

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:50:59.019107Z digest=sha256:b59d8cc9c43cd1721b9e22142c7b3276434b73aecb75f8e3a99b252a4b100000

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:50:59.023635Z digest=sha256:ffe9472a7d899b9b2dedadb425e1d55cd74fed9a8ee0103f107949a99f63f301

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:50:59.028113Z digest=sha256:22c3e32c6ba73a959a96e6b315d45eb502f81fc233a7ef2ad90ec07b64681f90

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:50:59.032607Z digest=sha256:3c9e20e31115529ac5cf7b5ef7a9dc0634a6a024d156075bce64ce3fd54c1acc

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=sha256:426a96a8f84c81101259f52028c455a1df995fff5f850eea624b91098c37b77d

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:50:59.041271Z digest=sha256:3e3aeedc50aa3321860af0649b95bd2b514db274e675aa7eecf4387d7d186519

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:50:59.045553Z digest=sha256:61b1cccd8c186ddf8d3997bd3cba2d5ee54d400e9b8dc36d321f585a118557a6

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:50:59.049815Z digest=sha256:215f460f98675d7ee94918b6cd07811f09f8d5fc6b87c7121912f07b1e81491c

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:50:59.054048Z digest=sha256:0ce7d5ec552d3072456277bc81d087f31df00ec2d60948e1dbaa1cadb059f3db

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:50:59.058301Z digest=sha256:d69d4f14529e3059d5896f71a5d210bf763a15ac15a80d034753dc18cfe2f4f8

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=sha256:7160ded902b7e8c3986a657d8a483e2fc975019ecf06619ef36f50011aceaea3

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:50:59.066835Z digest=sha256:a14bb4a7a1b3acf3b9437f68e4defd60e22dc6c1787b6fee01c5cec753efa7d3

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:50:59.071339Z digest=sha256:153bdf0c471d10ccdebca858729613073e21de4381b81cbc0092b6791788de34

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:50:59.075846Z digest=sha256:c3e906f8fedfc11735965965a80a230d0290aa141926e6d8b17ea32ab54b30df

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:50:59.080601Z digest=sha256:2d910f248510dbc8af715675b37d463c468b29bed0b5daf68571d72a7a423e2b

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:50:59.085198Z digest=sha256:cf5e970e026518b105405df3aeba210c94241bd34d43e464815797bb3148d2b8

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:50:59.090125Z digest=sha256:32b40776fa70e59543c45b624257ed5e173522cc5af81be61002e3bf46c6b5cd

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:50:59.094730Z digest=sha256:a0e0c4ce3f17ed82d07a2400dc17992f00ba8478a8bbda4369b5b932d9e36502

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:e0a5de4e7d0af3432260e9dd2b7d5c75bfc8608d6efaccc3fa046e5045fcd568

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:50:59.104100Z digest=sha256:c32836bd24db7dc215e89a86ab64c08273d3e5782498c3b4f1c994448c011da6

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:50:59.108998Z digest=sha256:c67ebfc03a1d41010a963d16efb65a0b70bd2791abe307146e7c6ed5c94d6bb3

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:50:59.114001Z digest=sha256:61cf5880d2041c1f83126d750ecd326e7ac71b6621af2ff0f957b2fd44c3cd48

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:50:59.118718Z digest=sha256:727c835374e61f4a2f51b22ffbbcd016b5888ff1b8e874e0d039f51fe69e711e

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:50:59.123455Z digest=sha256:73c1d852ab2f1611a2cfa1de61649e17a878f3b443e013971ff43ccd54c17891

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:ff2cf5dd8fda44abb2acb601054b085bbf6ebf689f66c6f95d021b4a8be68a8c

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:50:59.133543Z digest=sha256:05e73bfa3dc957e7214839077d5ee7eebb0f23b762e54d47dbae0930107b33a9

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:f1876525eadb8a9518cc99f95f1ed370e18ca208f51f2a15212b7fa51aabb21f

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:50:59.143005Z digest=sha256:a60fafaf317edfa9427bbaa6cb4820156af80ea9f3fad5d7ae47420bda6848c8

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=sha256:96f9051dec64200ffbd66eb1de435746124a98de51d231bd00eb0a856af82edf

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:e229b4c9148015f642b92679524fc4bb469301806597b5f39e336316c0313699

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:50:59.157632Z digest=sha256:28fb954ee42228970e05ec2fe9f043f53135f2ce04ac8f8544a8a8232fb7df97

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:50:59.163001Z digest=sha256:ad8996eb659fdde728e509ef614a512421c3fa6aeff3c937f3462206c63eb581

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=sha256:208fda7b9ae564991a0bab1d8ef6f506dcafa43d49cc848d1d6d548abd5e67c6

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=sha256:0e5f3d72bddb5957c32dff67ab4d393dfebc5d53b4235762ffeb60468ee6909f

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:50:59.177859Z digest=sha256:fc2576f5d7c9deb3a2c24e4461a4b25b2ca2f54fee76f60fcb4c860aa860065d

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:50:59.182321Z digest=sha256:31fc88a7f47f5a82fbe8624df5fefc7d046c16533c03686e8b0a6784cca5c40d

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=sha256:899bf7554eddd03d89d9f7329ae010db717699a0faba1c669cf6b6b67d3e490c

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:50:59.191727Z digest=sha256:52399a511ef4995ec577a85421a5d48917c901a46528a099dbf8d80352f6c0ba

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=sha256:91750c42acafa4ad8896e806509e91861dd67c275dcbced4ee3ada31d95f9c27

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:50:59.200685Z digest=sha256:5dbfbaa759207836be6cef32ed778098cb34247793b39df89d2acb3ea13b2e57

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=sha256:6f4b993622a1f13eb6e92b9d6b0d2b96715c7d36cbca0e0802389c2c070df03e

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T21:11:07.359765Z digest=sha256:3633cace7773ae6e03b088dda6b8f5adfd2bd3ec91cbaf0f062d85990cc1b065