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Paper Citation Record · LEDGER

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators

As of 10 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 2 inbound Pith citation observations for arXiv:2508.06313.

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

pith.paper-citation-record.v1
2508.06313 v1

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:54:49.839946Z

measured 67 of 67 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T19:05:56.065551Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T17:00:10.201437Z

Reference resolution

65 of 65 outbound references displayed

  • verified exact4
  • verified fuzzy53
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 09ce8b72-22fe-451b-b723-6d31b93a4e46 · outbound

This paper cites Ubnor- mal: New benchmark for supervised open-set video anomaly detection.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators Ubnor- mal: New benchmark for supervised open-set video anomaly detection

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:54:50.241727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation f9c92099-682d-40d0-8334-e6e742159b29 · outbound

This paper cites What’s the point: Semantic segmentation with point supervision.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators What’s the point: Semantic segmentation with point supervision

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:54:50.236278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:54:46.890116Z digest=sha256:836f5491ea10fb1e73b56dd4d1d3754fd52d46539794c04b37fc9c2ca4f25f69

Observation b8dc7ac5-c319-45a1-8bd2-f450d8be9245 · outbound

This paper cites Is space-time attention all you need for video understanding? In ICML, page 4, 2021.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators Is space-time attention all you need for video understanding? In ICML, page 4, 2021

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:54:50.230648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:54:46.957788Z digest=sha256:e2d32a633cb0b894e4421615897cde20de094711a0feb981eaab9783654e3c41

Observation fe6f2be3-4f20-4a65-8a72-5a4c57abb5fd · outbound

This paper cites Quo vadis, action recognition? a new model and the kinetics dataset.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators Quo vadis, action recognition? a new model and the kinetics dataset

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:54:50.225020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:54:47.054623Z digest=sha256:a2a157c7d966b5b722fda48809b56ebc345f20939bf4244299573f93bc71d95d

Observation e10f92bf-1768-4d79-b2ab-d925db2f469a · outbound

This paper cites Deep analysis of cnn-based spatio-temporal representa- tions for action recognition.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators Deep analysis of cnn-based spatio-temporal representa- tions for action recognition

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:54:50.218800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:54:47.123784Z digest=sha256:7602ac90c725b52eee79a5a757954b9614e957aefc1fa544e08175f98b049010

Observation e60c9a32-8b1d-4e6d-a4ee-e5f5552596f7 · outbound

This paper cites Tevad: Improved video anomaly de- tection with captions.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators Tevad: Improved video anomaly de- tection with captions

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:54:50.213297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:54:47.178034Z digest=sha256:09793070e4d2e612952e1cf4c9b73a058414ebaa9220eddc6ffdc121ecff5831

Observation 26feb913-4dbb-4d18-b03c-a33833af7868 · outbound

This paper cites Mgfn: Magnitude- contrastive glance-and-focus network for weakly-supervised video anomaly detection.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators Mgfn: Magnitude- contrastive glance-and-focus network for weakly-supervised video anomaly detection

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:54:50.207563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:54:47.266935Z digest=sha256:48904a8a5a7c8187825e5f5f38764fff84bc01c3cbdab21ba8432423c2fb4866

Observation 2bc3dc70-686c-47e4-ac3c-ea2d6bf5a5f0 · outbound

This paper cites Look around for anomalies: Weakly-supervised anomaly detection via context-motion relational learning.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators Look around for anomalies: Weakly-supervised anomaly detection via context-motion relational learning

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:54:50.201882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:54:47.333084Z digest=sha256:ffd4f587e41bef592b2ddc8999d92298cd8a158281834adf8fbb651b365ace9a

Observation d6494fef-9820-457e-bf42-6fb90d6b2bad · outbound

This paper cites Learning Factored Representations in a Deep Mixture of Experts.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators Learning Factored Representations in a Deep Mixture of Experts

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-05T22:54:47.388626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:54:47.388626Z digest=sha256:4d79bc1abe1e7bd3f991a3c2a25686ff2eab3ddc0d0312d2d713429c0a3b9314

Observation 2992902d-f5d1-428b-9d67-3aca5a676e5a · outbound

This paper cites Switch transformers: Scaling to trillion parameter models with sim- ple and efficient sparsity.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators Switch transformers: Scaling to trillion parameter models with sim- ple and efficient sparsity

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:54:50.195578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:54:47.513692Z digest=sha256:b2cd87dcc691b6be344a711506fe24f4d04c1aef8499ef9d5bd5784f23ed6c66

Observation d48e716a-1168-4123-891e-274606fb5f4e · outbound

This paper cites Mist: Multiple instance self-training framework for video anomaly detection.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators Mist: Multiple instance self-training framework for video anomaly detection

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:54:50.189751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:54:47.617559Z digest=sha256:bda63f3ab3ed468e8e53831bb1f4f74bc4a401594d02d65d008737d70aaac7ef

Observation e03f049d-2fcc-4280-9f58-533a76c1c728 · outbound

This paper cites Anomaly detection in video via self- supervised and multi-task learning.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators Anomaly detection in video via self- supervised and multi-task learning

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:54:50.183710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:54:47.741743Z digest=sha256:b65bc100a926dc23958684d9606058074c71028e3460ba456299c065bd013c5b

Observation 35f202c2-36f8-41cb-8488-9cdfb1342ec0 · outbound

This paper cites A background-agnostic framework with adversarial training for abnormal event detection in video.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators A background-agnostic framework with adversarial training for abnormal event detection in video

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:54:50.177758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:54:47.886389Z digest=sha256:5705ef344bccff207d1a677a771d453e49d1ce2f664ef4cd228596b2c3fa3f17

Observation 29c05b5f-bd80-4087-989a-58cab3a02b50 · outbound

This paper cites Gaussian Error Linear Units (GELUs).

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators Gaussian Error Linear Units (GELUs)

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-05T22:54:47.948655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:54:47.948655Z digest=sha256:58db1d6ba9446af716986f9f9fe14911236b945ac058d5f77f2b5eaacf45a4f1

Observation 9c5747d8-f6e5-4812-a0eb-2dfdf31f82c4 · outbound

This paper cites Mixture of Nested Experts: Adaptive Processing of Visual Tokens.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators Mixture of Nested Experts: Adaptive Processing of Visual Tokens

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-05T22:54:49.898643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:54:48.016686Z digest=sha256:409dcbcc4e3952d7376d222b1f795189d07239381853e8f2a0846cabce78a552

Observation e31451b4-a63f-4ce0-a843-b63c4b7ad6ec · outbound

This paper cites Clip-tsa: Clip-assisted temporal self-attention for weakly-supervised video anomaly detection.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators Clip-tsa: Clip-assisted temporal self-attention for weakly-supervised video anomaly detection

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:54:50.171964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:54:48.063168Z digest=sha256:579bf18fa2e3e4649f1cdf9364d73414306f9cf6f77bf02171b35efa66b7d7eb

Observation c6ca1031-7283-43ea-9f22-9677b407dcf3 · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators 3d gaussian splatting for real-time radiance field rendering

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-05T22:54:48.169558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:54:48.169558Z digest=sha256:93a36f3e5700ed53b7d938f1a9f0145d3a0ae388bb0a8ef01add5da2c7e19ddf

Observation 4015e02f-8659-4785-9ba0-dd48afd96d4b · outbound

This paper cites Point-based neural rendering with per- view optimization.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators Point-based neural rendering with per- view optimization

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-05T22:54:48.333499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:54:48.333499Z digest=sha256:33664df0bb7e3f02c0bd49efc3b21182a6d2e135e704d832a85371dd72ac9133

Observation 88d6f48d-4ef6-4d5b-aaf6-508b41de1588 · outbound

This paper cites GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-05T22:54:48.490986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:54:48.490986Z digest=sha256:aad07d50b628bf045fc658c5a97588c00a70ef27ab245dba52d45b0497eb5a96

Observation 49ad0f6e-3280-42a3-bdad-cb113ab9dd9e · outbound

This paper cites St-4dgs: Spatial-temporally consistent 4d gaus- sian splatting for efficient dynamic scene rendering.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators St-4dgs: Spatial-temporally consistent 4d gaus- sian splatting for efficient dynamic scene rendering

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:54:50.152365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:54:48.568334Z digest=sha256:5b1c711e3a77e659677d0481c318e9142a7850ab9286a9656a041f496fa740ad

Observation dbdd7b5f-1004-44ac-8817-08e5c7525b88 · outbound

This paper cites Scale-aware spatio-temporal relation learning for video anomaly detection.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators Scale-aware spatio-temporal relation learning for video anomaly detection

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:54:50.143312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:54:48.772480Z digest=sha256:dff4818e8b616e8874843bcb4b09d8af307fadc00e6d2b15a1e586778700acfc

Observation 2fad6b0d-82ca-4edc-a533-8836b2bbc289 · outbound

This paper cites Self-training multi- sequence learning with transformer for weakly supervised video anomaly detection.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators Self-training multi- sequence learning with transformer for weakly supervised video anomaly detection

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:54:50.137486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:54:48.837572Z digest=sha256:8d0b0e55727dbf164534bec1a25dca1ba1e2edd103518927468f1ae8b87ca512

Observation a20d5c82-f144-4111-a882-9059cbb85ae7 · outbound

This paper cites Self-training multi- sequence learning with transformer for weakly supervised video anomaly detection.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators Self-training multi- sequence learning with transformer for weakly supervised video anomaly detection

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:54:50.132277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:54:48.915451Z digest=sha256:0eaffb5f630db1f0c2e259d1a0ed70dc0fc1c6f0fb7e457731b44ec42e751d6f

Observation 59facb21-fc45-4a5b-96bb-0577e9eb6638 · outbound

This paper cites Spacetime gaus- sian feature splatting for real-time dynamic view synthesis.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators Spacetime gaus- sian feature splatting for real-time dynamic view synthesis

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:54:50.126707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:54:49.012350Z digest=sha256:db53d880c43e39323390f3d1c5660097cbe6940e9d4c8b110755f94076fd7955

Observation ba7105e8-7f26-46ba-a179-5431ac2f67d0 · outbound

This paper cites Least squares quantization in pcm.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators Least squares quantization in pcm

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:54:50.121367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:54:49.077973Z digest=sha256:11ab6d29bb4817a68bb9cd6cd822c9b1e7957ed6d525060fa941cab16c1ad1c7

Observation a26ea4d3-68d7-47c8-bd47-06d7385a298e · outbound

This paper cites Decoupled Weight Decay Regularization.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators Decoupled Weight Decay Regularization

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-05T22:54:49.149061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:54:49.149061Z digest=sha256:a6302d43aaddc9612781af9f7ef4d91b967fcf73a0f0113d69beff2b2b87a82d

Observation d127cdf7-df9d-4dfb-9d61-011938715726 · outbound

This paper cites Localizing anomalies from weakly-labeled videos.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators Localizing anomalies from weakly-labeled videos

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:54:50.116113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:54:49.204405Z digest=sha256:da476f57405674b86fb60f05cdc198da44f1fd9847cb259c6a87f7354f80ac64

Observation 87e8d7a9-ad60-4d05-87cc-c28dc413d768 · outbound

This paper cites Unbiased multiple instance learning for weakly supervised video anomaly detection.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators Unbiased multiple instance learning for weakly supervised video anomaly detection

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:54:50.110320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:54:49.312562Z digest=sha256:990f28f5dc4bc8a4080fa75f3ecbf7be789595b454ffa1387e7eb874d236b340

Observation 60a6b8b4-c303-4cdb-8492-8aea46e9d73e · outbound

This paper cites Human- scene network: A novel baseline with self-rectifying loss for weakly supervised video anomaly detection.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators Human- scene network: A novel baseline with self-rectifying loss for weakly supervised video anomaly detection

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:54:50.104114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:54:49.446906Z digest=sha256:187263d017b7a09edad2954491d95ad74948d996bae066ebaba74c57ce92d1d1

Observation 7cb5a186-6aae-44f7-844f-9fe48275cb06 · outbound

This paper cites Oe- ctst: Outlier-embedded cross temporal scale transformer for weakly-supervised video anomaly detection.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators Oe- ctst: Outlier-embedded cross temporal scale transformer for weakly-supervised video anomaly detection

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:54:50.098151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:54:49.567959Z digest=sha256:032afb36f812657851f33be1935dce50500a979c70b5eccb77a22cbd135b78e2

Observation 87c1f5ea-1632-4138-8a14-5955f65ad881 · outbound

This paper cites Just dance with pi! a poly-modal inductor for weakly-supervised video anomaly detection.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators Just dance with pi! a poly-modal inductor for weakly-supervised video anomaly detection

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:54:50.092013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:54:49.639406Z digest=sha256:1b38bc7110fb03cfb5d2fbabfb0ec38b3ccf5d6f8ea2f23632991e938bf44172

Observation 6ce72b89-170c-43ff-9fb9-b2d1890a5f0e · outbound

This paper cites Multimodal contrastive learn- ing with limoe: the language-image mixture of experts.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators Multimodal contrastive learn- ing with limoe: the language-image mixture of experts

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:54:50.085924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:54:49.779049Z digest=sha256:6545e2af0f6a73f3eafe61d48f118b26615f59f7e96d20029d299851862f08f8

Observation 421f7be1-474c-40fa-86fa-ccf254377041 · outbound

This paper cites From sparse to soft mixtures of experts, 2024.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators From sparse to soft mixtures of experts, 2024

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:54:50.079462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:54:49.780993Z digest=sha256:8cb73f47552ddc93279d76340fa0239b147d278d5af24df59e52dc16664fd7d9

Observation 4ea96fe6-1c7b-42f9-9e27-0496cf68b1ae · outbound

This paper cites Dance with self-attention: A new look of conditional ran- dom fields on anomaly detection in videos.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators Dance with self-attention: A new look of conditional ran- dom fields on anomaly detection in videos

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:54:50.072878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:54:49.783568Z digest=sha256:4b00ce2ba930a9de97f032c298c44929157c7ac43e76dc7bc964ae764849d671

Observation 66ee1d72-32f7-4157-b5e3-3895be6889c9 · outbound

This paper cites Scaling vision with sparse mix- ture of experts.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators Scaling vision with sparse mix- ture of experts

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:54:50.066590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:54:49.785543Z digest=sha256:1a97ba16e1ce3bd81238894e796fe09adc4760d7346095360ce897a53c1999e3

Observation fe71f364-3292-4ae6-b5dc-51417e656388 · outbound

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

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators Real-world anomaly detection in surveillance videos

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:54:50.061000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:54:49.787500Z digest=sha256:10d3643621483a091877360244afc440dabe640c01edaf96b04fa832893a9b3c

Observation 326fa48a-f99f-412c-bbe8-122bac933d02 · outbound

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

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators Real-world anomaly detection in surveillance videos

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:54:50.055939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:54:49.789765Z digest=sha256:119445ae2fe218886bf0b9ed109978b71627c7af2f6366bffd3a0a3d7fd4dc07

Observation cc334445-4dd5-4a4f-99b7-07ce4713222c · outbound

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

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators Weakly-supervised video anomaly detection with robust temporal feature magni- tude learning

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:54:50.050660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:54:49.791474Z digest=sha256:43ac1780e85903f364cfb61a3272b5aae9038f691f4d7b1f5d672d7e48f460ec

Observation de76911f-67c7-43cb-8482-bbe3650fc81d · outbound

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

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators Weakly-supervised video anomaly detection with robust temporal feature magni- tude learning

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:54:50.045097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:54:49.793666Z digest=sha256:619dc7e9b51aac1ec7d8388ae1c01743b4ef03b70e687b386949ab47d227cb57

Observation fbbd65f8-9be8-42cd-a963-a7fd9c028e4c · outbound

This paper cites Visualizing data using t-sne.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators Visualizing data using t-sne

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:54:50.039603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:54:49.795375Z digest=sha256:ab7f7eeb6789998f0616e9c0bec211333463b996fea7f3c7103a79d06224e6e3

Observation 53419f11-3593-4a38-ad0d-05cdb45a3507 · outbound

This paper cites Not only look, but also 10 listen: Learning multimodal violence detection under weak supervision.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators Not only look, but also 10 listen: Learning multimodal violence detection under weak supervision

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:54:50.034024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:54:49.797133Z digest=sha256:1f40216c80ecdd1fb00b0615bfbc70b34844b7aff6e14c239c0fae5267c8c530

Observation e0041726-02cb-4fe2-909c-0954a5b14363 · outbound

This paper cites Weakly supervised audio-visual violence detection.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators Weakly supervised audio-visual violence detection

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:54:50.027682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:54:49.799838Z digest=sha256:984fafd5d13c913b4b69327f7ddb310baabb410d0676603dc7306dd10ec390f1

Observation 8e12d56c-3475-434a-b2a6-6ebcccacf210 · outbound

This paper cites an unresolved cited work.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-05T22:54:50.158639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:54:48.420479Z digest=sha256:e9c5e151c88242ae075fa67e2fff90768d139f1d5f6588cd5d618feba2e7fcde

Observation b6340b05-5fea-4b56-90e3-6fb27bac832d · outbound

This paper cites Towards high- quality hdr deghosting with conditional diffusion models.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators Towards high- quality hdr deghosting with conditional diffusion models

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:54:50.015727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:54:49.803516Z digest=sha256:12dd7e08d3253ad40b48add286ffaf35a7bf674f70f3f8c4df0ba80551dc25ab

Observation 2ce5cf8f-9c03-4128-b005-acb22e29947b · outbound

This paper cites Vadclip: Adapting vision-language models for weakly supervised video anomaly detection.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators Vadclip: Adapting vision-language models for weakly supervised video anomaly detection

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:54:50.021444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:54:49.801688Z digest=sha256:b661da1b8ba1d11edb7d342b8138311e96a06a0358614198d9606b23fc393c04

Observation 9fa9f857-c390-4345-82da-ebed4cb37e26 · outbound

This paper cites Cloze test helps: Effec- tive video anomaly detection via learning to complete video events.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators Cloze test helps: Effec- tive video anomaly detection via learning to complete video events

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:54:50.003884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:54:49.807170Z digest=sha256:1d066eae56ca936cd20c3b046de948716b72699879d8163f95f4c19e2dd4ac47

Observation fb5f5e27-4182-4f0b-892e-d87b5a96072e · outbound

This paper cites Text prompt with nor- mality guidance for weakly supervised video anomaly detec- tion.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators Text prompt with nor- mality guidance for weakly supervised video anomaly detec- tion

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:54:50.009899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:54:49.805402Z digest=sha256:078dfceeaff57d0ff1cfba0992bcecc9f2b9fb5120b7d22b292f6552d6c0c102

Observation 2f0c0b03-d93c-4f6e-bc38-49d1a64dc894 · outbound

This paper cites Exploiting completeness and uncertainty of pseudo labels for weakly supervised video anomaly detection.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators Exploiting completeness and uncertainty of pseudo labels for weakly supervised video anomaly detection

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:54:49.992712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:54:49.810735Z digest=sha256:a49f7b7006f8e27fc4882039a6f76c114cdffe83dbe0c1d917837c0e8ed11e1f

Observation e7a5cf70-e722-4e9b-a77a-11e1775acc53 · outbound

This paper cites Modality-aware contrastive instance learning with self-distillation for weakly-supervised audio-visual violence detection.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators Modality-aware contrastive instance learning with self-distillation for weakly-supervised audio-visual violence detection

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:54:49.997807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:54:49.808882Z digest=sha256:5df2ef244e512272a0a11d834c1fe1f6a27df4e4493d8335c473ea8e51feda4e

Observation 2adfc4d5-a510-4407-8fbc-a9b4761a6bae · outbound

This paper cites GlanceVAD: Exploring Glance Supervision for Label-efficient Video Anomaly Detection.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators GlanceVAD: Exploring Glance Supervision for Label-efficient Video Anomaly Detection

Reference 50

Resolution
verified exact
local_arxiv, observed 2026-08-05T22:54:49.878992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:54:49.814368Z digest=sha256:73a13794c61db3fb33fc34c02f6a2935d7bc7559ce15b32a5b067372ec52942d

Observation bde07726-1744-4711-bba0-5ea14acf6c5f · outbound

This paper cites Exploiting completeness and uncertainty of pseudo labels for weakly supervised video anomaly detection.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators Exploiting completeness and uncertainty of pseudo labels for weakly supervised video anomaly detection

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:54:49.986643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:54:49.812526Z digest=sha256:a4a661a73a9b38607c764574895ca645c2e56167723c5cf595873fee39d13e7a

Observation a553cbe1-2009-48a5-9303-606624a9a815 · outbound

This paper cites Togs: Gaussian splatting with temporal opacity offset for real-time 4d dsa rendering, 2024.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators Togs: Gaussian splatting with temporal opacity offset for real-time 4d dsa rendering, 2024

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:54:49.974466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:54:49.818529Z digest=sha256:61689df32e418ebe2cf876c4001f9cf7dff9f2b2b7425bdaea65fa3e96a011a4

Observation 7578d806-f62f-44cb-afaf-f006037087bf · outbound

This paper cites Temporal con- volutional network with complementary inner bag loss for weakly supervised anomaly detection.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators Temporal con- volutional network with complementary inner bag loss for weakly supervised anomaly detection

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:54:49.980640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:54:49.816683Z digest=sha256:30fd564085fa607a846904f0405037c5e6352da93b6e254b636e6650208cddcf

Observation fa4b9495-8750-4a7b-958d-af2cec924fe8 · outbound

This paper cites Graph convolutional label noise cleaner: Train a plug-and-play action classifier for anomaly detection.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators Graph convolutional label noise cleaner: Train a plug-and-play action classifier for anomaly detection

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:54:49.961299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:54:49.822659Z digest=sha256:0ab30752346c3c8f76eede5a91a4fc65e4648aa0789370e5299a8e17df0a77f3

Observation b9393c6f-740f-483f-96bd-d385d535dd9e · outbound

This paper cites Li, and Ge Li.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators Li, and Ge Li

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:54:49.967209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:54:49.820856Z digest=sha256:e79d7b5faabfef4fa307d5750e235c65a1b89ef5d623fa506c6d8a3042239da0

Observation 503a710d-9540-455e-a1f7-a841fc10e4f8 · outbound

This paper cites Dual memory units with uncertainty regulation for weakly supervised video anomaly detection.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators Dual memory units with uncertainty regulation for weakly supervised video anomaly detection

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:54:49.953934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:54:49.826273Z digest=sha256:84fcb337b49cc121c1406befd4072d4d889f0d57f0453bc996912ccbbd3f2b97

Observation f3fcda9b-4be2-4864-b876-62afc219fe43 · outbound

This paper cites Dual Memory Units with Uncertainty Regulation for Weakly Supervised Video Anomaly Detection.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators Dual Memory Units with Uncertainty Regulation for Weakly Supervised Video Anomaly Detection

Reference 57

Resolution
verified exact
local_arxiv, observed 2026-08-05T22:54:49.871348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:54:49.824402Z digest=sha256:434d31e3a334d200be5f4eca1dc18a1d25f94e741e2e672c4b5743b55f6b1093

Observation d375dc09-2bc8-49c6-99e8-66c6a5a715fd · outbound

This paper cites Motion-Aware Feature for Improved Video Anomaly Detection.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators Motion-Aware Feature for Improved Video Anomaly Detection

Reference 58

Resolution
verified exact
local_arxiv, observed 2026-08-05T22:54:49.863086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:54:49.829821Z digest=sha256:63c404f50fd444f30da8847665da3fd94d9d841a7232cbf7665fafb4905f58ad

Observation d0488c26-1446-4b5a-aad4-e134b9cc2961 · outbound

This paper cites Advancing video anomaly detection: A concise re- view and a new dataset.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators Advancing video anomaly detection: A concise re- view and a new dataset

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:54:49.947742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:54:49.828106Z digest=sha256:e8872af66ef49f8eec6acee9af920b18cd233399ea65f43c49f8ab135b41e901

Observation db8b9994-46d4-4458-a6be-99742c279352 · outbound

This paper cites The I3D implementation chosen is the ResNet50, which is proven to be one of the best-performing [5].

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators The I3D implementation chosen is the ResNet50, which is proven to be one of the best-performing [5]

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:54:49.941880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:54:49.831741Z digest=sha256:cbf32cafb9c5414b6862a07b9a544db0d346070b6406122483d0950379a3bcde

Observation 8f7a350a-7bd5-4f4a-b361-b7ccfed44351 · outbound

This paper cites We conducted experiments with different peaks thresholds to evaluate the sensitivity of our approach to the selection of peaks.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators We conducted experiments with different peaks thresholds to evaluate the sensitivity of our approach to the selection of peaks

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:54:49.935273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:54:49.833923Z digest=sha256:38ba9eaedf084cfddcf885126843658abf8f0f099d0ecfccd310c8b60855a1a9

Observation b827ef85-90bd-4e89-a3c0-f036928106f9 · outbound

This paper cites The framework, shown in Figure 1, differs from the Gating model detailed in the main paper by the strategy used to leverage the expert’s predictions.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators The framework, shown in Figure 1, differs from the Gating model detailed in the main paper by the strategy used to leverage the expert’s predictions

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:54:49.929376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:54:49.835716Z digest=sha256:78b9b7eddc0113573238a0703f3324240eb3d9822f52d5efb3286963be96071b

Observation e96a1a4d-9d61-4d28-a597-c4afe7b90b3a · outbound

This paper cites Shoplifting-015.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators Shoplifting-015

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:54:49.922875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:54:49.837968Z digest=sha256:76caf2b3f9b64756bd393fbcd73f22cbe210a4f9f820742cdfd2fa5069e2f556

Observation 5c3e3f25-6fc7-413d-b6a0-51fa5378a2ec · outbound

This paper cites This dataset is composed of synthetic videos generated in 29 different scenes.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators This dataset is composed of synthetic videos generated in 29 different scenes

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:54:49.916755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:54:49.839946Z digest=sha256:1cc9d58cc904bf20f149f1dbeef99c0f52d2e05a33e7e79c4517a32172fac39a

Observation 7ae081d7-fcc3-42e8-9884-4a8a16870ddd · outbound

This paper cites an unresolved cited work.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators Unresolved cited work

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-05T22:54:48.638521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:54:48.638521Z digest=sha256:f577a881862e89266385a5819aa520a7025e90b4129d7fe015e2b577f0a08d9a

Pith citing papers

Observation 5b14d477-db14-463e-b46f-bf94eaf4a466 · inbound

Adaptive Modular Geometric Control of Robotic Manipulators cites this paper.

Adaptive Modular Geometric Control of Robotic Manipulators Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-15T17:00:10.205332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T16:58:16.813369Z digest=sha256:8a7de2dd8e8b44f3c9aa0c1f8ae4f5823c34dd4a6ddf1a320e73e2c9837f983e

Observation 7b732c75-f584-41ed-b093-655153130911 · inbound

Adaptive Modular Geometric Control of Robotic Manipulators cites this paper.

Adaptive Modular Geometric Control of Robotic Manipulators Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-02T19:05:56.065551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:05:56.065551Z digest=sha256:00bae8b6543b6c8ce796382cdbb287197b66f0a7274573466ffc84e56e61362b