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Paper Citation Record · LEDGER

Multimodal Anomaly Detection with a Mixture-of-Experts

As of 18 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2506.19077.

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

pith.paper-citation-record.v1
2506.19077 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:42:46.751315Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

28 of 28 outbound references displayed

  • verified exact2
  • verified fuzzy16
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 86bc9645-2fe1-4042-b996-e6c38f652c53 · outbound

This paper cites Anomaly detection: A survey,.

Multimodal Anomaly Detection with a Mixture-of-Experts Anomaly detection: A survey,

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-15T18:42:46.601182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:42:46.601182Z digest=sha256:d770295718c2a6fc94dfecb1c0485cd057e9598e724f3f33974f1cce1c2ee068

Observation 3839c611-6a80-4a96-bdb2-7a71ebd3993b · outbound

This paper cites Collaborative programming of conditional robot tasks,.

Multimodal Anomaly Detection with a Mixture-of-Experts Collaborative programming of conditional robot tasks,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:42:47.357984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:42:46.607027Z digest=sha256:8f1c417a55226d3f1d073a1857ac7e1d7dfac226ded4f6acd15e23dec3075085

Observation 62727a35-2817-4d7f-9628-b2b1d2aba87c · outbound

This paper cites Collabo- rative programming of robotic task decisions and recovery behaviors,.

Multimodal Anomaly Detection with a Mixture-of-Experts Collabo- rative programming of robotic task decisions and recovery behaviors,

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-15T18:42:47.341782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation a4d0a3ba-a8f5-4121-99c6-63631afc11b5 · outbound

This paper cites Intuitive programming of con- ditional tasks by demonstration of multiple solutions,.

Multimodal Anomaly Detection with a Mixture-of-Experts Intuitive programming of con- ditional tasks by demonstration of multiple solutions,

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-15T18:42:47.325922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:42:46.617521Z digest=sha256:452cf5cdb69103799f359e6b1769f18d7efecd30c9d4958f81983fe07a982397

Observation 864f494c-dc64-47a4-b75c-92d80d89eb86 · outbound

This paper cites Anomaly detection for insertion tasks in robotic assembly using gaussian process models,.

Multimodal Anomaly Detection with a Mixture-of-Experts Anomaly detection for insertion tasks in robotic assembly using gaussian process models,

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-15T18:42:47.310174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:42:46.623003Z digest=sha256:883e1ae3aebc71903d977036b4bc92b2e88293751c93b9cfd6580d078cae92c8

Observation 06e50e77-e1c1-4a4f-9f4b-82091d8306a4 · outbound

This paper cites Multimodal anomaly detection for assistive robots,.

Multimodal Anomaly Detection with a Mixture-of-Experts Multimodal anomaly detection for assistive robots,

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-15T18:42:47.292375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:42:46.628060Z digest=sha256:565dc34b1339eb02d5de572d2d5aa0aadd79c9a56d171b19b471914731b90bd7

Observation d7223471-bea9-4efd-9ad9-2273fa5159f9 · outbound

This paper cites Hmms for anomaly detection in autonomous robots,.

Multimodal Anomaly Detection with a Mixture-of-Experts Hmms for anomaly detection in autonomous robots,

Reference 7

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no resolver link, observed 2026-08-15T18:42:46.633529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:42:46.633529Z digest=sha256:8f85a79bb992171e45feb006c6f3ddbdbbbbf976b7532fc342960a3fc8de2766

Observation 0b7876dd-e3d5-48ac-8ba7-0c4550991738 · outbound

This paper cites Conditionnet: Learning preconditions and effects for execution monitoring,.

Multimodal Anomaly Detection with a Mixture-of-Experts Conditionnet: Learning preconditions and effects for execution monitoring,

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-15T18:42:47.266142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:42:46.639563Z digest=sha256:8c19819dec4fd6df4facb16a33a657b231020062eea2674c181dc3c7a42f89b8

Observation 9bffefd9-2b65-4d15-a7e3-1943d3dea8f1 · outbound

This paper cites A multimodal anomaly detector for robot-assisted feeding using an lstm-based variational autoen- coder,.

Multimodal Anomaly Detection with a Mixture-of-Experts A multimodal anomaly detector for robot-assisted feeding using an lstm-based variational autoen- coder,

Reference 9

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no resolver link, observed 2026-08-15T18:42:46.645066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:42:46.645066Z digest=sha256:4802e303cfe87a4407506a5711c62c6e32bc45d627f0a03be408f53a6bdee0a2

Observation 2a455fb0-fb58-40b6-96f0-27c283aa1ecb · outbound

This paper cites Multimodal anomaly detection based on deep auto-encoder for object slip perception of mobile manipulation robots,.

Multimodal Anomaly Detection with a Mixture-of-Experts Multimodal anomaly detection based on deep auto-encoder for object slip perception of mobile manipulation robots,

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-15T18:42:47.239752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:42:46.649787Z digest=sha256:e40df219442de2ab24006a82068d3ba3c47903301e277047f1eabc7547e282cb

Observation 47d1fe95-06bb-442c-b3fc-4efd26c455b2 · outbound

This paper cites Multimodal detection and classification of robot manipulation failures,.

Multimodal Anomaly Detection with a Mixture-of-Experts Multimodal detection and classification of robot manipulation failures,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:42:47.221160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:42:46.654751Z digest=sha256:76cfd33e050a396d7805a69fe26cc67ea5f3faaebb68dd2dc9b70a1b72f988ff

Observation a252886a-2cfc-49e8-9db5-d73f074bdf9c · outbound

This paper cites Clue-ai: A convolutional three-stream anomaly identification framework for robot manipulation,.

Multimodal Anomaly Detection with a Mixture-of-Experts Clue-ai: A convolutional three-stream anomaly identification framework for robot manipulation,

Reference 12

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unresolved
no resolver link, observed 2026-08-15T18:42:46.660876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:42:46.660876Z digest=sha256:4b70df60b58cd1752a4636a1680a318d4ff7f71edd283b493661c7c35b3d36af

Observation e4d95f85-64af-4366-a962-b8a812b0db49 · outbound

This paper cites Robust, deep and in- ductive anomaly detection,.

Multimodal Anomaly Detection with a Mixture-of-Experts Robust, deep and in- ductive anomaly detection,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:42:47.193708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:42:46.666419Z digest=sha256:00ad66763f70de36f033608104262ce3ed6d1f1e48eaa5ec2e42761ba89b19cf

Observation 00f45eb6-de79-421d-8ea3-882157a9fef7 · outbound

This paper cites Vision-language models as success detectors,.

Multimodal Anomaly Detection with a Mixture-of-Experts Vision-language models as success detectors,

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-15T18:42:47.177680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:42:46.671495Z digest=sha256:a5cc4cf0658009faab57c4796b152101462a93193a05aa43706c845055a72f33

Observation ddfdc757-05aa-436b-aa4f-80aeb9a60a01 · outbound

This paper cites Fino-net: A deep multimodal sensor fusion framework for manipulation failure detection,.

Multimodal Anomaly Detection with a Mixture-of-Experts Fino-net: A deep multimodal sensor fusion framework for manipulation failure detection,

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-15T18:42:47.139653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:42:46.681459Z digest=sha256:f1e7a2a8ec9b18c688f19712981877a2682c85ab636a2efd1b57edfa839a75da

Observation ad88c057-3e29-4810-bd3b-e4588f0197a1 · outbound

This paper cites Grounding Classical Task Planners via Vision-Language Models.

Multimodal Anomaly Detection with a Mixture-of-Experts Grounding Classical Task Planners via Vision-Language Models

Reference 16

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unresolved
no resolver link, observed 2026-08-15T18:42:46.686882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:42:46.686882Z digest=sha256:4f8f4422951b2dc1d37087a979570a829e519b260eefea206bf166206bc54cd3

Observation 548d1a00-c272-487c-a4b0-e29aa51f5701 · outbound

This paper cites Real-Time Anomaly Detection and Reactive Planning with Large Language Models,.

Multimodal Anomaly Detection with a Mixture-of-Experts Real-Time Anomaly Detection and Reactive Planning with Large Language Models,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:42:47.120235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:42:46.694195Z digest=sha256:2ca73d648aa5114a2175ca3455e1d0b47462b75e8df1f6b57be91c31c2ab05f6

Observation 7f6cd483-1901-4abb-99fb-fe97586f36d5 · outbound

This paper cites Confidence-based policy learning from demonstration using gaussian mixture models,.

Multimodal Anomaly Detection with a Mixture-of-Experts Confidence-based policy learning from demonstration using gaussian mixture models,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:42:47.100941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:42:46.700601Z digest=sha256:f2402be403eae98af0954d5c93d7bacaf4a570659edc5ffac8408e8de569775f

Observation fd1bb439-0389-4a17-a08e-a69d177401ee · outbound

This paper cites Unpacking Failure Modes of Generative Policies: Runtime Monitoring of Consistency and Progress.

Multimodal Anomaly Detection with a Mixture-of-Experts Unpacking Failure Modes of Generative Policies: Runtime Monitoring of Consistency and Progress

Reference 19

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unresolved
no resolver link, observed 2026-08-15T18:42:46.707011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:42:46.707011Z digest=sha256:1076379885ed29bf0907396a2749a5e1baa09602ea9079078c1b49f80d08f203

Observation 2079e7c5-cdc5-44a7-93f6-1564463507c9 · outbound

This paper cites Autoencoder-based network anomaly detection,.

Multimodal Anomaly Detection with a Mixture-of-Experts Autoencoder-based network anomaly detection,

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-15T18:42:47.082379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:42:46.713564Z digest=sha256:41df9c4b4bfe69b5779f43477fe1c8008c47ab96b10277c6875dd8e52abed05e

Observation 5de10a44-2922-4c32-a64a-ad243a2ca001 · outbound

This paper cites Mad-gan: Multi- variate anomaly detection for time series data with generative adversar- ial networks,.

Multimodal Anomaly Detection with a Mixture-of-Experts Mad-gan: Multi- variate anomaly detection for time series data with generative adversar- ial networks,

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-15T18:42:47.063869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:42:46.718497Z digest=sha256:2bfe16dcdaa17b727b7931d3451aa20b6c1e88382d61babf74d05d8434118a9f

Observation 832f0a2a-f971-41b2-9796-b93ac0b488c6 · outbound

This paper cites Pddl - the planning domain definition language,.

Multimodal Anomaly Detection with a Mixture-of-Experts Pddl - the planning domain definition language,

Reference 22

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no resolver link, observed 2026-08-15T18:42:46.724475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:42:46.724475Z digest=sha256:cc38d835345535b879f61b629197ae233eaafbc78e2ee180af6f706880653994

Observation 64107d04-92d0-411b-bef9-2b297f4e4d73 · outbound

This paper cites Incremental kinesthetic teaching of motion primitives using the motion refinement tube,.

Multimodal Anomaly Detection with a Mixture-of-Experts Incremental kinesthetic teaching of motion primitives using the motion refinement tube,

Reference 23

Resolution
verified exact
doi, observed 2026-08-15T18:42:46.823370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 22fe6525-68bc-49f4-be62-add558c169d6 · outbound

This paper cites REASSEMBLE: A Multimodal Dataset for Contact-rich Robotic Assembly and Disassembly.

Multimodal Anomaly Detection with a Mixture-of-Experts REASSEMBLE: A Multimodal Dataset for Contact-rich Robotic Assembly and Disassembly

Reference 24

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unresolved
no resolver link, observed 2026-08-15T18:42:46.735349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:42:46.735349Z digest=sha256:c006e9ba44515ca0370321e4879e636cb1c434bf0aad81ba6073eb5f2c3f0983

Observation 7644605f-0510-4dab-9106-26a370b82395 · outbound

This paper cites Invariant description of rigid body motion trajectories,.

Multimodal Anomaly Detection with a Mixture-of-Experts Invariant description of rigid body motion trajectories,

Reference 25

Resolution
verified exact
doi, observed 2026-08-15T18:42:46.805839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:42:46.740738Z digest=sha256:5070750bc8b2ca7a378e295e77a5d43af045bf3f92b3c1e8d7fac5841ea1bb2c

Observation 7544e250-99f6-4ea2-9cbe-2025be086082 · outbound

This paper cites Dynamic movement primitives in robotics: A tutorial survey,.

Multimodal Anomaly Detection with a Mixture-of-Experts Dynamic movement primitives in robotics: A tutorial survey,

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-15T18:42:46.746374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:42:46.746374Z digest=sha256:05956c1b59721ae046d3cb13560be011bbd7976f63e787e237cf10676b362e19

Observation 8da4e759-08c4-4ff8-b199-6fd198f0993e · outbound

This paper cites Multi-level task learning based on intention and constraint inference for autonomous robotic manipulation,.

Multimodal Anomaly Detection with a Mixture-of-Experts Multi-level task learning based on intention and constraint inference for autonomous robotic manipulation,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:42:47.035891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T18:42:46.751315Z digest=sha256:40f3d5228118d7bce6bd0d68810ee802417e0063aef55ebfabc07cfb7f49f49f

Observation ced1b690-0e5e-4050-9d55-55377581d1ba · outbound

This paper cites an unresolved cited work.

Multimodal Anomaly Detection with a Mixture-of-Experts Unresolved cited work

Reference 232

Resolution
unresolved
raw_fallback, observed 2026-08-15T18:42:47.158947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Pith citing papers

No inbound Pith citation observations are available.