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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:54:46.890116Z digest=sha256:cdcb6c793fae72774561cd21f3422d25cb49a20d43e58639223aa38d90a5f419

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:54:46.957788Z digest=sha256:88e8b0a02720781923e4ce608ad5721b4c53cccabe2ccdd2b72c52473bc41cca

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:54:47.054623Z digest=sha256:95e7fc31223724a76f53ae3f1603fe82a4f31369b8bf1a9ce2a36a2f6a592068

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:54:47.123784Z digest=sha256:f1ab95bee16c608595ae2dd485e95ad0628737963e4f660cd3816dfa7336563d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:54:47.178034Z digest=sha256:4bf512439a48441461762f590671260e3badbd829bdd020f38ae8c875513bf7c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:54:47.266935Z digest=sha256:03aba4f7f4090fe36cbefe628e3fed3562b2992dad07ae2e61905c1fafae2a86

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:54:47.333084Z digest=sha256:2a5f52d3331d932f8f9f4737af024d0e74ce01889cc77dc7db2cc150144b1431

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:54:47.513692Z digest=sha256:5b74c26f45b33a1af6e9954b54322c787eb70417aa583e0320b5001bf37b5566

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:54:47.617559Z digest=sha256:62adfb0ed284864048d9919eeeb1aad51b4dfb60a7c505f9b09677f529f33003

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:54:47.741743Z digest=sha256:fe03c5bb8a0b41d5b799eb9263d012de1cd6ae87a38bbfa5ecd366683cf5045d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:54:47.886389Z digest=sha256:e766bf5088b5ca0ecc10387a6cca6ce57a28992918ad4034c582b14ccd893807

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:54:48.016686Z digest=sha256:56c8751b8d1e212f4fb3af2386bc2863def58c8368d168a3e4cba191893bd205

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:54:48.063168Z digest=sha256:d96c237d48a337d440e85034903564ce592ce0eb80073a0ce0f838523c773271

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:54:48.568334Z digest=sha256:2fb02dab8dd5c79bb4b6ff084599ad8a646214455d0643a44094ef725137dab4

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:54:48.772480Z digest=sha256:be47e058c029d2871d460d2d4993806db0a9355c10f4a7204a3ae47db54a3b0f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:54:48.837572Z digest=sha256:3fa5c774087c7828b28dd147ba71e41ce409acfe7dc79c4ff4295a06d1b8458b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:54:48.915451Z digest=sha256:2bc57b05ca130b3bc0237a7ca299dee1c561cd058e6a14c4e1835e24807817c5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:54:49.012350Z digest=sha256:c1a463e4b8f9f28cb10d6a2983cc06f08608f3abf6aecb2f52f2e9ac09393873

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:54:49.077973Z digest=sha256:c604bd44df77b78a70cb83e927543b571c1ba6218427243c00c0456fb439ce4a

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:c1a89f1e52fabb575967edbb557b654d5d2de2a9e456eeac591abfc43dad7489

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:54:49.204405Z digest=sha256:7df0300ddeabf1dd9596471815c22da7a67dd3a23fead7782fb3b824ea6af9d5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:54:49.312562Z digest=sha256:d6f6152a1ffcd645fc064e94df622f303efad20521c0525135429a0533822a1f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:54:49.446906Z digest=sha256:f7c3e2a834c7b0eb875dc84006cd968a9111784d051db5f7fdc36b9127596e4f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:54:49.567959Z digest=sha256:06a2ff1b50aacfb204e1727e6c7439f31512d3586aa05f8a46ddfdc4d1cd1d9c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:54:49.639406Z digest=sha256:f2c5db5418384a0939f9fa8faf5a6eb22a2c76b7adeb14687cc1b94bcac357ca

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:54:49.779049Z digest=sha256:003957e6a220e7e319abf95354902bc236a04eff9bc697d64c5848ac66d86552

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:54:49.780993Z digest=sha256:5b7fe9f7086e579369b8b2eafbb3ed79af9d069dce26c7eec4299a9094bbafda

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:54:49.783568Z digest=sha256:0302e19a2d76916af3d4f1fee912383429e0e87ce912d8812f7ec44bcc1b60c5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:54:49.785543Z digest=sha256:cd4b066b360f0a14aa30881d477c848c3ef837fb7babf9d9cca4a483210120fa

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:54:49.787500Z digest=sha256:e64a9ff2e0faefbfed61e33755d5b3dbb95f61d676fbaa813ad27dc4977a9d2b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:54:49.789765Z digest=sha256:26c6a8edd761a3a4e21db67c142e02a1d73981d6310263b8e57f2b753bb8739e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:54:49.791474Z digest=sha256:ab407385ebbb8fef35b30d92fb3c3f3060cd5ecb1b1c1779c6753a316ed0cedc

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:54:49.793666Z digest=sha256:97392e880122df7e248a96607792bbba7eb8b2b8d213f6e12cecdec244ccf63c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:54:49.795375Z digest=sha256:59e5bb4c0245def993d6724b1a997ca24168613e58d02b677c97e41bef13b1f8

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:54:49.797133Z digest=sha256:79a8b8d7b6ee9e33e9416e781c6e7de1be7475e17dba54dd7fa7baa39105d02b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:54:49.799838Z digest=sha256:980096eff03c5fd7184530f7bad0592cb9710667671da93e6a9712be39a7ded4

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:54:48.420479Z digest=sha256:859dd1ca25607d3782e5dc15aae675794449bb14021f85256d42c05634963f89

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:54:49.803516Z digest=sha256:068dfa1968706128f16b7494d25fe3ea322599fd502743d9cf52a5b558a1c9fc

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:54:49.801688Z digest=sha256:00425402bcef080a3d679c0cc955e9b505a241423109c1e79758ca80b8280936

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:54:49.807170Z digest=sha256:e592eb5841611bf699129289591770b405e6c9fe805387b804922524cdc6f4d6

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:54:49.805402Z digest=sha256:eab7985c6dce5e306c48feb7d54d29376e69d66f49b1fec263ffebcb5418e85d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:54:49.810735Z digest=sha256:8b2641eb5ce684ef7feaeb29f70c814c6f4d082f1da0e64ddcb32d03ee5fc2f8

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:54:49.808882Z digest=sha256:86ac158564c40947e8683c59a91388270e06fcf59a1e08cab03069449fb83fbb

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:54:49.814368Z digest=sha256:dfade88a22ff18d07120f7a0dea2ab9691afbfa1e1a1f54dad7dd75e75c0f66a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:54:49.812526Z digest=sha256:173bf3af6c263aef899e797300511a4ff8790819beff7a4fd3c8c2760307ca2a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:54:49.818529Z digest=sha256:2d4f76b86c981efd5b15765a62d987464905dc4a1d5aaa1fd7ebf762f42df866

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:54:49.816683Z digest=sha256:80582707b9c302d60f555b19aed8bca0f65da9347c65a91944ad558eb72889b0

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:54:49.822659Z digest=sha256:137ce321dad05f5fc94d31aed5d576cf7c1f338fc97c1107e4d8e5f54ff4cac9

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:54:49.820856Z digest=sha256:a70f9f98c586bf06fef3c7935df4a1b5ecda98cf783f741f1b232eb7085d387f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:54:49.826273Z digest=sha256:91b8755aae0c7f8078e1ffed343d11792c1f6a4cca6260cd9d2de587b1d4786d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:54:49.824402Z digest=sha256:5abb5aaa5a40087a1769d116cf7c9875da9a5f06c7421e314407b81b3e7d31f6

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:54:49.829821Z digest=sha256:701412fdaacc9a7f628ee3a745a314ccaf39f8c696e978a5be6efa55345c8221

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:54:49.828106Z digest=sha256:6f3cef84c7aa4359fbbe531bf0ac354c98c1feef370cbf17116da30b397f3693

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:54:49.831741Z digest=sha256:d13c96d6de3d6d359a33316434a30b06eccf0edeaefd28764f0de3e628fed4cf

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:54:49.833923Z digest=sha256:224e5e1cfdaaf05ef7a5cf4b336684164cbcecd9531240009e2f64074534257c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:54:49.835716Z digest=sha256:a7d7ccd7529a1531e0dee5b18d58bdced243fc72b6e84a9cfedf107b7951d30e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:54:49.837968Z digest=sha256:8bcd54dd15fe038868472714de471e4372793bc15cad2b5780257d5b11ea286e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:54:49.839946Z digest=sha256:fc3e8eef1e2d277dd7ccce596e3de05bc879378154e53e4736c1d9d5ecda747e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T16:58:16.813369Z digest=sha256:47277fecf9f1a6e36703fca3338c25bae3c3591324f91a1d6fea0eaea8ecda12

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