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Paper Citation Record · LEDGER

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

As of 15 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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T22:54:46.890116Z digest=sha256:d239236137e16c69a1aa44a03f036801352a4794e9f1677183e574f557890e69

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T22:54:46.957788Z digest=sha256:50c3c17304c53c6ac208d334bd750fbab1e3919968b504a466e503437f251283

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T22:54:47.054623Z digest=sha256:2145098198e203431885bea37573c8f9a03e07e5aea94d8f1399dbe9c1de1499

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T22:54:47.123784Z digest=sha256:00f985c07f6feafd638739863e8dcab3340f579cb441621fe50151e2f05d2b7c

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T22:54:47.178034Z digest=sha256:be4e0779c8021c8be2aacc33091829c8e5956f005ab1ff653ca26bedd94cc942

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T22:54:47.266935Z digest=sha256:dbc1bd8072f3f85bfdac5b7c1e8de4c42e4640d1a61151974ac20e560e984b72

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T22:54:47.333084Z digest=sha256:0472fb7ef7b23d9b69278aa749115bfaeee96e8473cd03906c9c9e5624a8b10b

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:ca0ac4ac8422d9890bcc9d90cf2ef67a30eaad256c4b3c82322cfc8b703f4862

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T22:54:47.513692Z digest=sha256:f976a23374fd93c2839ec72093d4cd987436dd550bf987f88c36c64ee2a7ef94

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T22:54:47.617559Z digest=sha256:8bc5f40b98dd16b222eebd6faa5f9a5121a897341306a9aab10e67e4964920ad

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T22:54:47.741743Z digest=sha256:91527b9abc6199d5b722211c05e68a8e90e053a2a1e42cd0b64ec3e5db58514f

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T22:54:47.886389Z digest=sha256:190cbeeedb4d984c1a34008ad100ea1f7ad5de967666f47291a460177b1204f2

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:c6b321e20f0fa52f7df6f633e970ff6ae082f80305794488a61688fb9dd5264b

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T22:54:48.016686Z digest=sha256:7bf322fc10cce1db90bee628c30615b57705fede67c5e39ced18ee2513bf71bc

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T22:54:48.063168Z digest=sha256:20f707f659645fb56a8372080b24c89ff1f4e2af588cc8c235bb67697fb753b4

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=sha256:9b743b5c2c9d2cec5689bc6059e0d894be6193dec24042b8cf24c02db7d69a87

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=sha256:86e5490138c83ca9aafe247bf110bbd8fee0c1f7bef6644ec0d8cfeacfd38e02

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=sha256:96fc0c29703bba94e56e40e3af950559212743d23a1ea5a59fd28bdca1ccdfcf

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T22:54:48.568334Z digest=sha256:81d3bdee7195b8152f9c70f76bb1d3ddd1c19aa04f429d8d791709da2b49afd7

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T22:54:48.772480Z digest=sha256:32546710d9935820f21c5ef932da3870a2e389c059175230d134080477f9ae5d

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T22:54:48.837572Z digest=sha256:c25d70ef705b794c32891f547bbcf4a0d4e6d79a9ab40ee4624f2a228d817026

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T22:54:48.915451Z digest=sha256:d7d6cff25273e1a4e1aa51df1e4db97df16c4ea10434bec06edcefc58fca5729

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T22:54:49.012350Z digest=sha256:7e4d3d8b25d821de8db4a71bb10e087ca383cfd641dd94eb6174e9abbf4f2c0b

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T22:54:49.077973Z digest=sha256:04cf61b10284f8f620da4d4e49e82138438e2b94d73c9bb0b56ae014488c635e

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=sha256:55abeb326dfbf663ef4a1481dfc2c4c9f4085253eeb8678c583386030745fdaa

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T22:54:49.204405Z digest=sha256:0e89eeb202e8447736597929a4c0354773b4912a884feec94ffd1272b9a82d8b

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T22:54:49.312562Z digest=sha256:ab1fd271d02d352324afd3c4f3256141e94ef7b5cb2020ed695e0197950fb4c7

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T22:54:49.446906Z digest=sha256:1b42a99d697bd392b78622fef56285c49055275bda2c7fec4ab99472187a8d60

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T22:54:49.567959Z digest=sha256:bc4ebf980db0c83b9624c8a97f88e2f526fdf82853108a4d7e2a2a03ac1562f3

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T22:54:49.639406Z digest=sha256:ca1eb7a0d58ea488bf1764e8984d5c7ded2e8e70dae10ac40333725acb259013

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T22:54:49.779049Z digest=sha256:05d0a8665b51e8fe5a179077088141b46d4875bcd9819dd585cd4865fef69c95

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T22:54:49.780993Z digest=sha256:d435986a8ba273b7f6955d399db718d5c4780db2a11d1ea03a994cf47d5c4e94

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T22:54:49.783568Z digest=sha256:45865fa0e873653c75fdbb5734d39ed08c7f12343842acab8a736fa2ecf44e54

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T22:54:49.785543Z digest=sha256:c132eba4b4a2c5789a30ee1c300da7965dc3ff3047274b0c753806dceb9aeee9

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T22:54:49.787500Z digest=sha256:fa88235ed7646b8783bc6eac5637ae2b5671e84d3309a55a767b2b870870f3d5

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T22:54:49.789765Z digest=sha256:111e6850603b079e3e47f62b41e22dd422b5f765e9e622e1c32e8f80e80e9c64

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T22:54:49.791474Z digest=sha256:6407faf275f67b5868ff4cbc7ae63bfbde98eae0d51e51be231cefd51c13eea3

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T22:54:49.793666Z digest=sha256:6b3605345566afd34ef005839833b8364ec709549ec1dea1f145e2e194b28c9f

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T22:54:49.795375Z digest=sha256:53cf1d36eaa437a37b9d47b3e1c4692189b71bfc6df1c8514b838ce210cd7fc5

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T22:54:49.797133Z digest=sha256:ff622443960f66c8f73c0b80d7408cb73ea28de70229c31fad5d929b340624c4

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T22:54:49.799838Z digest=sha256:8346ae8f8901f84720326823e8f975ebe44a76016dbca6c6b41c309278f79ce7

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T22:54:48.420479Z digest=sha256:5ea042ee3d76ca6c5519d2d4a70cfd122e75b1e3cd1f84ca5a1f500d91f80767

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T22:54:49.803516Z digest=sha256:4208f9c2b964a490120a9adc8eb45b77f653f2fdd47ba9b2ffd5e566bdc47cfd

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T22:54:49.801688Z digest=sha256:95cb982a09df9c8f71fbfb39eb653849a0574c8d042868f922f77a95d60b0588

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T22:54:49.807170Z digest=sha256:8de1c11a829eb3f2463db8cc08046278c6fafbb9a51bf0df4441eeae9e59c831

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T22:54:49.805402Z digest=sha256:1a729fa769c55c5587788647682017ed1bfae0124d21e493f5a93344949563ca

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T22:54:49.810735Z digest=sha256:42d1f821ec74f61c060981e0bfe75e6117abcf3223c6a9b8b9e7c52943d7ca44

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T22:54:49.808882Z digest=sha256:0cd5a7f1cf5f3bb7df16984f96a01cf156b69510143ea29090595d2a3005fc67

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T22:54:49.814368Z digest=sha256:e08515822a702ec30276370e5db98e238fb577cda41c370c9b475f8b2d1f1614

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T22:54:49.812526Z digest=sha256:c88184a8c907592a4d0bb53281158728ab1738dd2bc9b81f14d7100ebfcc2a7f

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T22:54:49.818529Z digest=sha256:f453b0aeb6165b9dbf1beb2e100a7b4ce1bac5710d48c89f0806b394535c42c0

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T22:54:49.816683Z digest=sha256:4f51bc01623bca6bd7e0a91b4f8026776aa74c3189e690cf3b2e222c4112f39f

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T22:54:49.822659Z digest=sha256:28c79e9fbc83278936d62fa8ec6bb50ece47a580f707478bfe55d8e7315900b4

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T22:54:49.820856Z digest=sha256:aec3054ab5c9fdc308e616ca259b7ecf1547478717d13beaeefa81bed306774b

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T22:54:49.826273Z digest=sha256:b1cce28b5b7d2127e49072e37655737bb0e6312117ec13bc5ff4c64bb01b0441

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T22:54:49.824402Z digest=sha256:a51295a5326331fad86c2e390a200b4d78378c7240f6e7202b0dd0bc6e67bd9a

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T22:54:49.829821Z digest=sha256:17e2d1563f31b206288f0d32c13a9448444a16e8e0085df4bfd5ceb7ad9d4800

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T22:54:49.828106Z digest=sha256:178e8cd4ff6aa03cfbd0f81db3cfeef773cfbf81e4ff70492e3ba1e0ac48dd63

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T22:54:49.831741Z digest=sha256:8e59dd3882188f4c362e098dd95e80a4e8b19648001bc883fc798a23a9744184

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T22:54:49.833923Z digest=sha256:1db22ee11a70bb23d6db7cb148f09523517ff8c4bb8de31b226af9615fdbed88

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T22:54:49.835716Z digest=sha256:2d2d4080324b2732a7f35182fbcfcbbafc1717500d1921f6a1044211f16ab136

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T22:54:49.837968Z digest=sha256:86d6911187bcd945cc766db589ff14842225e8a4ebe6694ccffbb7be98024dbd

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T22:54:49.839946Z digest=sha256:f9a7efedc97e6a3a43ff58fb4daa4897842d5f71572d3200c58c6a599e67f6e8

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=sha256:1c621ed6f7551ced13d44c48d706c956680330f755183c57c11c043412844c6b

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-15T16:58:16.813369Z digest=sha256:4ed179af4eb19d4cebb61bb54fb6bd683496523daa4b312208573da7a15874b4

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:bfc6001929e2154191903c1b4cb158b2c593c69164462ccab875e96637e54b21