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Paper Citation Record · LEDGER

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras

As of 15 August 2026, this Paper Citation Record lists 79 of 79 outbound references and 1 inbound Pith citation observation for arXiv:2411.15276.

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

pith.paper-citation-record.v1
2411.15276 v1

Coverage vector

measured 79 of 79 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:42:29.445259Z

measured 80 of 80 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:50:31.563522Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:50:33.847499Z

Reference resolution

79 of 79 outbound references displayed

  • verified exact2
  • verified fuzzy69
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8420fdfe-58dc-4711-8c57-b706cb5cd146 · outbound

This paper cites A low power, fully event-based gesture recognition system.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras A low power, fully event-based gesture recognition system

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-12T14:42:30.669406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 16bbc9a6-7b1d-4664-b5c3-e2f7d8da7431 · outbound

This paper cites Adaptive generative initialization in transfer learning.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Adaptive generative initialization in transfer learning

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation ac571885-7046-4b5a-8acf-740ff6d825e0 · outbound

This paper cites Real- time optical flow for vehicular perception with low-and high- resolution event cameras.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Real- time optical flow for vehicular perception with low-and high- resolution event cameras

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation c37372b9-8f43-4351-bdce-580606baf1c1 · outbound

This paper cites Spade-e2vid: Spatially-adaptive de- normalization for event-based video reconstruction.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Spade-e2vid: Spatially-adaptive de- normalization for event-based video reconstruction

Reference 4

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raw_fallback, observed 2026-08-12T14:42:30.623059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.092652Z digest=sha256:c75c0d0942a5193469ae7e90579b506c40a45d5e75c24a985df983d1ff76734c

Observation bcf75500-a627-46ff-9cb8-a0cbb56e9727 · outbound

This paper cites Multiple-source domain adaptation with gen- erative adversarial nets.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Multiple-source domain adaptation with gen- erative adversarial nets

Reference 5

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raw_fallback, observed 2026-08-12T14:42:30.608475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.097432Z digest=sha256:91bbb3fee79204f23020aefd2ad972e5fb79f853d08f6bf3eaf01cdad534fb8a

Observation 32acf123-1fb3-49b7-a8d8-769d0d38d19e · outbound

This paper cites A simple framework for contrastive learn- ing of visual representations.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras A simple framework for contrastive learn- ing of visual representations

Reference 6

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raw_fallback, observed 2026-08-12T14:42:30.593604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.102159Z digest=sha256:fd1436eb40298ba417d8778962bfb48c2cd71e8dcc8fd5c0c5db6eaec9f3b725

Observation e5d02c81-7b6d-4dc4-8ec7-790c27d272b7 · outbound

This paper cites Improved Baselines with Momentum Contrastive Learning.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Improved Baselines with Momentum Contrastive Learning

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:42:29.107259Z digest=sha256:d7103639db7a5b004ca09d9ef48a19e4d00e89ad1a46846047217051ca4eab03

Observation 01577896-9c49-4886-8e81-403b434f4d65 · outbound

This paper cites An empiri- cal study of training self-supervised vision transformers.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras An empiri- cal study of training self-supervised vision transformers

Reference 8

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raw_fallback, observed 2026-08-12T14:42:30.578797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.112121Z digest=sha256:00cc0fc824cabc03e9f94d2100311f8d40f19900ea8e6378b43445d98e431558

Observation 65b98c09-d352-4cfa-aa2f-889311760dd0 · outbound

This paper cites Structure-Aware Network for Lane Marker Extraction with Dynamic Vision Sensor.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Structure-Aware Network for Lane Marker Extraction with Dynamic Vision Sensor

Reference 9

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verified exact
local_arxiv, observed 2026-08-12T14:42:29.592183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.116556Z digest=sha256:c461fd5dbe1c16526d5bd0b3860dd38cfd85b0cb34ff71818ad37f4d09908357

Observation 4c494629-a997-4cd5-bc8b-44b6a92c4d98 · outbound

This paper cites Learning affinity- aware upsampling for deep image matting.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Learning affinity- aware upsampling for deep image matting

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-12T14:42:30.564733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.121263Z digest=sha256:bf0f8a4ad2530c746887d53459ff03b68cf54ce656aa809db08255f4c29d17ea

Observation ff4b044a-78f2-4f09-a230-77e3c5be2cba · outbound

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

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Imagenet: A large-scale hierarchical image database

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:42:29.125317Z digest=sha256:7eaf6c769d74d22cce9a8a66087689caee9ba83e142681acad7fe4336dd27c7a

Observation 18151e1c-5e66-423b-9512-913896ba8cb9 · outbound

This paper cites Amae: Adap- tive motion-agnostic encoder for event-based object classifi- cation.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Amae: Adap- tive motion-agnostic encoder for event-based object classifi- cation

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-12T14:42:30.540208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.129585Z digest=sha256:802bae70baf9b12a736a4f4f57df96729cdbc5385aa10b8af03dfc25d2cdd2c7

Observation 27b8d0e7-afbe-4362-95ef-a5f4084eb1e5 · outbound

This paper cites Mvf-net: A multi- view fusion network for event-based object classification.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Mvf-net: A multi- view fusion network for event-based object classification

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.133761Z digest=sha256:e765dac4d1e98574e7373215e3eb51e956d97fd4d8d00b59bc27f252347aa3bb

Observation 2d39320b-9290-435a-af6b-747a286c6727 · outbound

This paper cites A voxel graph cnn for object classification with event cameras.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras A voxel graph cnn for object classification with event cameras

Reference 14

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raw_fallback, observed 2026-08-12T14:42:30.508880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.138806Z digest=sha256:5afdd37da550bb9e08257544e104dce28d78a3519a8a2b41f2f2aa9729c0fb32

Observation c8d02bf2-2c89-48cc-8586-fb1f1486fa42 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 15

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no resolver link, observed 2026-08-12T14:42:29.143361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:42:29.143361Z digest=sha256:6f9610ca60dc499eb07172bb505b4a94eb95d3ee8244a597dfc1ce5eb087b5fc

Observation 9ba1bb12-0df9-467a-8ac2-935feb3321e4 · outbound

This paper cites Temporal effective batch normalization in spiking neural networks.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Temporal effective batch normalization in spiking neural networks

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-12T14:42:30.494168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.148155Z digest=sha256:334147c38f70ff350ba12b2612ab01963638799a6e8302f414f8bacba53e1dc7

Observation 4f768bed-fe6d-4245-969c-87b12056f193 · outbound

This paper cites A varia- tional u-net for conditional appearance and shape generation.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras A varia- tional u-net for conditional appearance and shape generation

Reference 17

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raw_fallback, observed 2026-08-12T14:42:30.479303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.152868Z digest=sha256:032f2c852f431b87d07aec0c59add3eff3e29e29e1e432bfb632e50d86b99681

Observation 19c1eb08-3c39-410f-88b5-a5f49a8f9110 · outbound

This paper cites Incorporating learnable membrane time constant to enhance learning of spiking neu- ral networks, 2021.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Incorporating learnable membrane time constant to enhance learning of spiking neu- ral networks, 2021

Reference 18

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raw_fallback, observed 2026-08-12T14:42:30.464213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.157039Z digest=sha256:a6eef2c9578ff4c59caf2c70b85c6d3b7c5596fc2757f2de4b0583b4fefaf225

Observation e4549a53-9aa2-42c5-ae5e-48c836a20563 · outbound

This paper cites Multi-level firing with spiking ds-resnet: Enabling better and deeper directly-trained spiking neural networks,.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Multi-level firing with spiking ds-resnet: Enabling better and deeper directly-trained spiking neural networks,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.161191Z digest=sha256:edfe1d909598f3791f974eb844c05208a02ecf5b5ea92e9597d3dee46f585a6d

Observation 0b4d6a16-f0c2-4380-9444-40320bf1d571 · outbound

This paper cites Event-based vision: A survey.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Event-based vision: A survey

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:42:29.166028Z digest=sha256:c93aec9b23f3b22ba7546b244ab6989c584714b80e4aad9fe4ea43a73da15d1e

Observation aed059bb-fb55-425d-b624-90d93f8a8375 · outbound

This paper cites Action recognition and benchmark using event cameras.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Action recognition and benchmark using event cameras

Reference 21

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raw_fallback, observed 2026-08-12T14:42:30.426179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.170344Z digest=sha256:f6083a7dbac36b66ad33d190699d91503882cd4356f3d110118788e7c1675a74

Observation 41f8df56-efe5-468f-b57e-110723d9f2a6 · outbound

This paper cites Hypergraph-based multi-view action recognition using event cameras.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Hypergraph-based multi-view action recognition using event cameras

Reference 22

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raw_fallback, observed 2026-08-12T14:42:30.411371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.174732Z digest=sha256:aafa23d68ecaab7c1dd2bf3d2125509642be4bc13af0c204b759cd933eac2927

Observation fbe856a8-fe83-4f83-b610-5bb97b9a69ae · outbound

This paper cites Deep residual learning for image recognition.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Deep residual learning for image recognition

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.179019Z digest=sha256:5360c34465f2434cb09693357540a63ee99c36598f8c153fa6a68b9a4e648c59

Observation ba19ed7d-89c7-40e2-81ac-c16ee05e1062 · outbound

This paper cites Slicesamp: A promising down- sampling alternative for retaining information in a neural net- work.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Slicesamp: A promising down- sampling alternative for retaining information in a neural net- work

Reference 24

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raw_fallback, observed 2026-08-12T14:42:30.382368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.183426Z digest=sha256:36c02bb0c6a140642934dd90abaae36cf55ca9189cf704cc1bfb048981b9f851

Observation 59c73599-eda9-494a-b154-bf1d1e5201b5 · outbound

This paper cites Knowledge adaptation for efficient semantic segmentation.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Knowledge adaptation for efficient semantic segmentation

Reference 25

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raw_fallback, observed 2026-08-12T14:42:30.367520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.187697Z digest=sha256:d24ea0e8514f6a0927b645024d4f0743e89f43e127887dfca60ce890f53e146b

Observation 237a330c-e9a7-4e0f-a30a-3d939125d87a · outbound

This paper cites Clda: An adversarial unsupervised domain adaptation method with classifier-level adaptation.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Clda: An adversarial unsupervised domain adaptation method with classifier-level adaptation

Reference 26

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raw_fallback, observed 2026-08-12T14:42:30.353221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.192272Z digest=sha256:3c8fefd28572a71d9f7d95e5207fd2388095930ff0f38f840a165ab4de5b460a

Observation d35b7a6f-ebdb-47a4-8c2d-e20427667ef9 · outbound

This paper cites Fourier Transformer: Fast Long Range Modeling by Removing Sequence Redundancy with FFT Operator.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Fourier Transformer: Fast Long Range Modeling by Removing Sequence Redundancy with FFT Operator

Reference 27

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unresolved
no resolver link, observed 2026-08-12T14:42:29.196660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:42:29.196660Z digest=sha256:ba602e4d1c1b45260242dc78895a443c0f794c93cd4049aa5f00773f2d4aba22

Observation 5f1d38c6-99f3-475c-bba7-4c6d2bc44aaf · outbound

This paper cites Conet: Collabo- rative cross networks for cross-domain recommendation.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Conet: Collabo- rative cross networks for cross-domain recommendation

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-12T14:42:30.338736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.202156Z digest=sha256:e566cfc46e6329f03577ab168539181a04ba914144073177e759146603583c53

Observation 2adfc82e-5289-4d51-8230-31e006601d0b · outbound

This paper cites Duplex generative adversarial network for unsupervised do- main adaptation.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Duplex generative adversarial network for unsupervised do- main adaptation

Reference 29

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raw_fallback, observed 2026-08-12T14:42:30.324283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.206576Z digest=sha256:57ea2b49ecb969f2cd31e5e35fb4f0adc3e89e5344ba326174693b6251d30d8c

Observation bb7e0530-71f9-4ff4-a5ce-ad22869b2a7c · outbound

This paper cites Event-based semantic segmentation with posterior attention.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Event-based semantic segmentation with posterior attention

Reference 30

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raw_fallback, observed 2026-08-12T14:42:30.309804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.210955Z digest=sha256:d2b4140073b97097827274b9687355012fadd1038cb2b5ed626efe3e6d616701

Observation 5a95feec-66b0-4b5a-8dba-be6e7f47c739 · outbound

This paper cites Event camera-based pupil localization: Facilitating training with event-style translation of rgb faces.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Event camera-based pupil localization: Facilitating training with event-style translation of rgb faces

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:42:30.294835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.215725Z digest=sha256:58f3c5e808a71f435f26e1f5ff544266bc1a79b0a9157a1f77471e12715cdebd

Observation 406573ba-eacd-4e16-9675-aa3bfbfd8904 · outbound

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

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras N-imagenet: Towards robust, fine-grained object recognition with event cameras

Reference 32

Resolution
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raw_fallback, observed 2026-08-12T14:42:30.279373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.221397Z digest=sha256:390be3bf770d98e3dbe9bb6ac94b0dc10558f7f43e42f2819c957ff61597b512

Observation c4a4dd4a-9724-44e9-96f2-c4165345df9e · outbound

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

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Masked event modeling: Self-supervised pretraining for event cameras

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:42:30.264625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.225630Z digest=sha256:31bc6cefe72a5d5c70bb2abb403e63d3f5552043a9aac6f8b6887d0318f7f8c8

Observation 68d67c7e-3ca6-40c4-b5ea-4493ad1abbb8 · outbound

This paper cites Multi-dimensional attention spiking transformer for event-based image classification.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Multi-dimensional attention spiking transformer for event-based image classification

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:42:30.249835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.230067Z digest=sha256:7ec8016dc85ae7ecf2a972e615c468ae3ff3fa5a56bc35aa863484ed4878bd64

Observation e36e46f1-7b0f-4ba2-820e-83f40298fd6c · outbound

This paper cites Object-centric cross- modal feature distillation for event-based object detection.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Object-centric cross- modal feature distillation for event-based object detection

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:42:30.233383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.234392Z digest=sha256:f2489ebe7a4c75aa30e313bf2a309c0d9c288cf299ccf676d6bcb3fedafaf672

Observation 082d9707-54f7-4c81-911d-fc791b207504 · outbound

This paper cites Domain adaptation from rgb-d to rgb images.Signal Processing, 131: 27–35, 2017.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Domain adaptation from rgb-d to rgb images.Signal Processing, 131: 27–35, 2017

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:42:30.218322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.239922Z digest=sha256:6b06cfdbf82aae04a82514e7b931767bc9ade450cd74beb3912101acb1ef84e8

Observation d232c4a6-6c26-48b2-b6ce-96d3b11b7ddf · outbound

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

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Graph-based asyn- chronous event processing for rapid object recognition

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:42:30.203581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.244318Z digest=sha256:a102ffbc628f5ec38938e8d05cc6728282d531084ab988b59510eeea09955463

Observation 2fe378ec-9072-459f-94d0-94f1f25062ca · outbound

This paper cites Spikeformer: A Novel Architecture for Training High-Performance Low-Latency Spiking Neural Network.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Spikeformer: A Novel Architecture for Training High-Performance Low-Latency Spiking Neural Network

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-12T14:42:29.249698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:42:29.249698Z digest=sha256:f8303bc58f6cd4c602ca38ee4f5c5ae61c98e537ae411831a8c0cedae8d19b86

Observation a85833d5-a6a0-4c36-a5b8-0d47ff291cfd · outbound

This paper cites Dine: Do- main adaptation from single and multiple black-box predic- tors.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Dine: Do- main adaptation from single and multiple black-box predic- tors

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:42:30.188218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.254339Z digest=sha256:dcb9134e090704b770afecd47a49cd18315422dbd949e043fcc96b90039b3080

Observation 9c641dc1-1356-4358-8067-830ecf34c0f1 · outbound

This paper cites Event-based object detection with lightweight spatial attention mechanism.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Event-based object detection with lightweight spatial attention mechanism

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:42:30.173456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.259022Z digest=sha256:bbd978f8a4eac51f5833f421be1c958da1b6b0dd9be02a1988adc67ea24f5da2

Observation a2ee29cd-f676-4e7d-9ed2-d83d749fd776 · outbound

This paper cites Decoupled Weight Decay Regularization.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Decoupled Weight Decay Regularization

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-12T14:42:29.264174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:42:29.264174Z digest=sha256:aadcc1b93b3e65056dd3c830439d8d4fcc6eb552cf101d74c33e1008e85c2912

Observation 4c6c8c34-fa14-463d-bba3-5113218163a0 · outbound

This paper cites Pathotune: Adapting visual foundation model to pathological specialists.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Pathotune: Adapting visual foundation model to pathological specialists

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:42:30.158969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.269036Z digest=sha256:b6f8084485d57763b4eb404c6511fa22cb3bbd6ec8d7161f7074e5aaf481e45c

Observation 77c9314d-e1a4-4d86-893b-0496c945c064 · outbound

This paper cites A robust feature downsampling module for remote- sensing visual tasks.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras A robust feature downsampling module for remote- sensing visual tasks

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:42:30.142843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.274524Z digest=sha256:7196af864efe3b0c36ea2fa5fd6ab0af1000ef586975b85217ff7748bf9eb850

Observation ef415085-0fe1-4d93-83ee-2382c4912dff · outbound

This paper cites Learning spatial-temporal implicit neural rep- resentations for event-guided video super-resolution.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Learning spatial-temporal implicit neural rep- resentations for event-guided video super-resolution

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:42:30.128330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.279346Z digest=sha256:ba9b89aebc1681e5807e4f0b00d365ea568e1eb33dc4008041539b5d6a0cd281

Observation 5417e715-9c3e-4ec6-b541-97d1ba55a347 · outbound

This paper cites Talmud: Transfer learning for multiple domains.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Talmud: Transfer learning for multiple domains

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:42:30.111836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.283769Z digest=sha256:78cdcb6948a04e1bc3f9ea964d9f03ccb562d1a38d7deccc4464952d1b047afe

Observation d7ee71a8-1b41-410f-98be-88b082778f2d · outbound

This paper cites E2sri: Learning to super-resolve intensity images from events.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras E2sri: Learning to super-resolve intensity images from events

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:42:30.096968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.289002Z digest=sha256:8beedf71ae96e36dccfc5910d51a2a3e6c9719fccbe7c86a09521fe63a8aedaa

Observation 44baebfe-9f69-4f4b-b4dc-cccf4468f48f · outbound

This paper cites Continuous-time visual-inertial odometry for event cameras.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Continuous-time visual-inertial odometry for event cameras

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:42:30.082196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.293351Z digest=sha256:15640f3ecc4d4ffb97fb38fb8f5833fcecd832aac14fa25d90c595742dcdd534

Observation 449b12e7-283b-45f4-bd78-8376e3801456 · outbound

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

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Converting static image datasets to spiking neuromorphic datasets using saccades

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:42:30.066967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.297827Z digest=sha256:f412e85f465f80dcf30825eef5317f666398cfccc9a8fd80bb28d9da5a14b2a4

Observation aae4e730-b2d1-41e3-a496-c3555dcfcdc2 · outbound

This paper cites High frame rate video re- construction based on an event camera.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras High frame rate video re- construction based on an event camera

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:42:30.051940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.302950Z digest=sha256:c69c1a27d42ad0d60b3e51830527cc983dae2c10fade330355d8fa8f12555cde

Observation 3c1f3940-38f9-42b1-8d1d-c26f126aa923 · outbound

This paper cites High speed and high dynamic range video with 10 an event camera.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras High speed and high dynamic range video with 10 an event camera

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:42:30.037230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.307353Z digest=sha256:876a37b56f7a237c4b275368dbfd692ef1d9f30359a9181c4bfd581afcd1c4cf

Observation ac3b5c74-2283-46c5-9cd7-0bfdcb3fdaeb · outbound

This paper cites Dlformer: A dynamic length transformer-based network for efficient fea- ture representation in remaining useful life prediction.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Dlformer: A dynamic length transformer-based network for efficient fea- ture representation in remaining useful life prediction

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:42:30.022533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.311780Z digest=sha256:8cb4feda58bf24ad3a311c843434e3356e9bde6d61a8d4ff8b26fa6b107212e0

Observation 9c7629a6-04e0-4e8c-affd-f44ae7db3918 · outbound

This paper cites Trigan: Image-to-image translation for multi-source domain adaptation.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Trigan: Image-to-image translation for multi-source domain adaptation

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:42:30.007584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.317431Z digest=sha256:71a889db8fe56485ba003373860349735a1f179cc6333da7dcbd29833667ca46

Observation d88d1a20-9b65-42f8-a816-2f1e6444eb41 · outbound

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

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Hats: Histograms of aver- aged time surfaces for robust event-based object classifica- tion

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:42:29.992661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.321938Z digest=sha256:f7ff30fcf0bf28d47abea49cdd1fa60eeaf670f55624eb81aa8f424fd9addd61

Observation 2c07ac5a-153c-481e-9c53-6abba5306f65 · outbound

This paper cites Visual prompt tuning for generative transfer learning.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Visual prompt tuning for generative transfer learning

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:42:29.978233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.327065Z digest=sha256:08dd8b19f85040a7f55b4d1f28a31810fccb0b2ce5ff129d2b8f47fe4897ced7

Observation 7ea3a301-6423-4348-b341-a9300c46836d · outbound

This paper cites Inverted n-type lightweight network based on back projection for image super-resolution reconstruction.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Inverted n-type lightweight network based on back projection for image super-resolution reconstruction

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:42:29.963048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.331393Z digest=sha256:ad1df2f3a780cc0069c9674a9e74736bcaa9319108b9c6385a121e7f1088e825

Observation f031488f-741e-432e-83c9-f90b39951db4 · outbound

This paper cites Kt-gan: Knowledge-transfer generative adversarial net- work for text-to-image synthesis.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Kt-gan: Knowledge-transfer generative adversarial net- work for text-to-image synthesis

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:42:29.947555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.336556Z digest=sha256:78823f6f322045f5ffb67a59437afb05e442200fbd17c7bfe232718cb752944e

Observation 30e834f6-9623-4499-ad02-6d26d7b1df5d · outbound

This paper cites Knowledge mining and transferring for domain adaptive object detection.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Knowledge mining and transferring for domain adaptive object detection

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:42:29.932582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.341164Z digest=sha256:3a3f2769dbec6d4b0affae9c2b2348df4b774bd33c3ef13eeab69af437fba37b

Observation 831d0056-6e46-4da9-8a26-e342aa724146 · outbound

This paper cites Fusing event- based and rgb camera for robust object detection in adverse conditions.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Fusing event- based and rgb camera for robust object detection in adverse conditions

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:42:29.917960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.346556Z digest=sha256:c7f6407f24a1a58e4090ddf8170c8632b29bceb2de2a367b87ec88bb7afb7575

Observation df633403-33df-4de2-a799-9fa5891b1517 · outbound

This paper cites A time-related voxel representation method for event camera.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras A time-related voxel representation method for event camera

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:42:29.902835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.351274Z digest=sha256:04736e1440173a42755a95c5f046b132aaed5f1f701e75aa7d8911d812b753fc

Observation ac6d96d2-49fa-47f4-8f20-2c2445e5ed94 · outbound

This paper cites Event stream-based visual object tracking: A high-resolution benchmark dataset and a novel baseline.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Event stream-based visual object tracking: A high-resolution benchmark dataset and a novel baseline

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:42:29.888238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.356990Z digest=sha256:c6095f3f63dab9fe0d7eb0febc00747f4792f536f4aa8266ec3cd7d624d254f3

Observation 1ed5a540-f21b-4f84-9454-40276edf8de5 · outbound

This paper cites Minegan: Effective knowledge transfer from gans to target domains with few images.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Minegan: Effective knowledge transfer from gans to target domains with few images

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:42:29.873660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.361582Z digest=sha256:596899b18aec9439caef285da2b2f12035f49faef8daee1b6fe90a8d17831105

Observation eda6ddde-76dd-45d3-a21b-5c78d4a76fcc · outbound

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

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Exploiting spatial sparsity for event cameras with visual transformers

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:42:29.858917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.366146Z digest=sha256:49fae1637cbc8bcb6888751db21acb6239c7bab065f8c4cc1e5b09ec16a3b7b2

Observation 3259afa6-d463-436f-a605-2682e7b02e53 · outbound

This paper cites Denoising of event-based sensors with spatial-temporal cor- relation.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Denoising of event-based sensors with spatial-temporal cor- relation

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:42:29.844121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.370561Z digest=sha256:1af5a1ed189c43e2525ac00faabd9e8a1db9de5e2f3a10f8bda0a09ad91dcc49

Observation 7e8ad191-e1bb-463c-a7ea-18da847ad317 · outbound

This paper cites Vmv-gcn: V olumetric multi-view based graph cnn for event stream classification.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Vmv-gcn: V olumetric multi-view based graph cnn for event stream classification

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:42:29.829148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.376219Z digest=sha256:3a7140a5c3bfbc8903d197c3a3f880f3b13418ece8d54264fb7f46cb714f50cc

Observation 75bb04d1-f497-4206-a4bc-7d4f9fc92181 · outbound

This paper cites A collaborative alignment frame- work of transferable knowledge extraction for unsupervised domain adaptation.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras A collaborative alignment frame- work of transferable knowledge extraction for unsupervised domain adaptation

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:42:29.812763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.380925Z digest=sha256:9791eef79a261dd63795a0bf9fe24c5035bdc403044b891a98a27ad8cffdb925

Observation f24fe25b-a255-4b4c-8f82-9ec85a27a479 · outbound

This paper cites Electrical fittings in- spection based on improved unet with generative adversarial network and attention mechanism.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Electrical fittings in- spection based on improved unet with generative adversarial network and attention mechanism

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:42:29.796654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.385675Z digest=sha256:fd855350747b1301882486ad34c5bf2b4fcb53fa68a7e6a429213fec128700bc

Observation 7d107e38-2960-4ade-a446-dfc89e5d6bef · outbound

This paper cites Transfer Learning with Pre-trained Conditional Generative Models.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Transfer Learning with Pre-trained Conditional Generative Models

Reference 67

Resolution
verified exact
local_arxiv, observed 2026-08-12T14:42:29.506855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.390014Z digest=sha256:bf1bdda9d88e7c123c310558273143aa6daf7e62a09fd557b16102cd1ac2bd6f

Observation 04b72741-fb41-419f-beea-efb2d9b45223 · outbound

This paper cites Event camera data pre-training.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Event camera data pre-training

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:42:29.782401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.394846Z digest=sha256:ec06fd9dfdbf23e49ac848f9b7fe5eda73afafb715b37fe57ec7b4b934b31c6e

Observation 98377041-0767-4d9f-934e-13641a507bef · outbound

This paper cites Temporal-wise at- tention spiking neural networks for event streams classifica- tion.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Temporal-wise at- tention spiking neural networks for event streams classifica- tion

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:42:29.767263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 622df283-6e7d-40d5-ab9c-967f43e56422 · outbound

This paper cites Learning bottle- neck transformer for event image-voxel feature fusion based classification.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Learning bottle- neck transformer for event image-voxel feature fusion based classification

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:42:29.752354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.403647Z digest=sha256:5d225e4790c02c70409b5678105681e7affc8819a975f9bb0caab8a19cf72e1b

Observation 7f1bee2b-1974-46ce-a871-c028d6c37bdd · outbound

This paper cites Selec- tive knowledge transfer for cross-domain collaborative rec- ommendation.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Selec- tive knowledge transfer for cross-domain collaborative rec- ommendation

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:42:29.736627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.407992Z digest=sha256:cee71f06796520797508dd8fcf1e9e89e083e39ad74ceca37bb2b25b200206ac

Observation 06106ea3-a378-4459-a5f3-436886b55c59 · outbound

This paper cites Progressive modality cooperation for multi-modality domain adaptation.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Progressive modality cooperation for multi-modality domain adaptation

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:42:29.720402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.412336Z digest=sha256:4dd148484fd000f84d6d378a3ee796fbe3d6726ac2b20b82171fa4b86b460284

Observation cc6d4fae-303f-4771-bb1f-9039120eae2c · outbound

This paper cites Backeisnn: A deep spiking neural network with adaptive self-feedback and bal- anced excitatory–inhibitory neurons.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Backeisnn: A deep spiking neural network with adaptive self-feedback and bal- anced excitatory–inhibitory neurons

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:42:29.703523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.417311Z digest=sha256:d0785b2ca0f7ef7a40190e09c30ba482fd3f97fd1c5b232c65f406cc73eb15be

Observation d8db4cd7-5d5d-469f-959c-ce57638ed228 · outbound

This paper cites Transformer-based domain adaptation for event data classification.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Transformer-based domain adaptation for event data classification

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:42:29.686090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.422535Z digest=sha256:456fe317f73d9782d2e1c44b5d4060756c834fabc494a5a6ff0dcabb5974c83b

Observation 4a063739-dedf-469d-884c-7681e921a1ad · outbound

This paper cites Going deeper with directly-trained larger spiking neural net- works, 2020.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Going deeper with directly-trained larger spiking neural net- works, 2020

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:42:29.670514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.426897Z digest=sha256:90ed733c7feeb9f1193a9ed9af9c00506f028a8862ebee9eeb795a3ccc099132

Observation b9a7204b-aaf3-4510-90bd-0a0c3b2bbf45 · outbound

This paper cites A bio-inspired hi- erarchical spiking neural network with biological synaptic plasticity for event camera object recognition.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras A bio-inspired hi- erarchical spiking neural network with biological synaptic plasticity for event camera object recognition

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:42:29.655212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.431626Z digest=sha256:43e2d70df9e0dde2e1019e351bd2778d404497b4f4bd09faa725d32565d8708e

Observation 8b3bebcc-4974-462e-bc8d-68889fab8912 · outbound

This paper cites Spikformer: When spiking neural network meets transformer, 2022.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Spikformer: When spiking neural network meets transformer, 2022

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:42:29.640242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.436270Z digest=sha256:9432f48edfed3c57058e1fbfeb6b4c68f02dc0bab7560003fc5461f933b8ec18

Observation c0ff4c21-c9b0-439b-a508-b8c697ef113b · outbound

This paper cites Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-12T14:42:29.440652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:42:29.440652Z digest=sha256:aa21219f55e93a8e0bad532a2d0f6a7aa9e65f2cbf79fda992d38fc9473460de

Observation 239a3398-78ee-407e-b287-72de3cc796c2 · outbound

This paper cites Margin-based adversarial joint alignment domain adaptation.

Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras Margin-based adversarial joint alignment domain adaptation

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:42:29.624565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T14:42:29.445259Z digest=sha256:68f2bdcf760d4fd5e29b2bd2268d6328184cfd35e75c5d3892fa59230c93d8a0

Pith citing papers

Observation b5343fc0-ef0b-426b-ae1f-edeeaf58666f · inbound

Hypergraph Mamba for Efficient Whole Slide Image Understanding cites this paper.

Hypergraph Mamba for Efficient Whole Slide Image Understanding Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:50:33.923678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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