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Paper Citation Record · LEDGER

Agentic Anomaly Detection with ORCA-Style Dynamic Inductive Bias Adaptation in Multimodal Wearable Time Series Data

As of 20 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2608.08859.

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

pith.paper-citation-record.v1
2608.08859 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:25:51.717129Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

47 of 47 outbound references displayed

  • verified exact3
  • verified fuzzy22
  • unresolved19
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c81804ee-11c4-4ba7-bbfa-f559939b968a · outbound

This paper cites Health Leadership and Quality of Life , year =.

Agentic Anomaly Detection with ORCA-Style Dynamic Inductive Bias Adaptation in Multimodal Wearable Time Series Data Health Leadership and Quality of Life , year =

Reference 1

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T04:25:51.528976Z digest=sha256:324b0e73776fa6600d35a10bb2c7d0584a95d27f3db7ea5fb8e3889a81d27c2b

Observation 80da0d68-1e3a-46e3-97da-6629e45c4e7f · outbound

This paper cites Stojanovi.

Agentic Anomaly Detection with ORCA-Style Dynamic Inductive Bias Adaptation in Multimodal Wearable Time Series Data Stojanovi

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-14T04:25:52.523338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T04:25:51.533284Z digest=sha256:45eb5e4755a2550f7ca5c59a8db74fc83cda0343e4c789458b2849910a1f7c24

Observation 2c4022ce-3d6c-4087-8ec1-f2894fd725fa · outbound

This paper cites Khurshid and Mahmoud Othman , title =.

Agentic Anomaly Detection with ORCA-Style Dynamic Inductive Bias Adaptation in Multimodal Wearable Time Series Data Khurshid and Mahmoud Othman , title =

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-14T04:25:52.514054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T04:25:51.538582Z digest=sha256:3c10e5a711e05ac2ffd629f225faafa6e464f9b392ee8c800b7628a5a58923cd

Observation 7af210c4-4dc0-4199-a0fa-6791cd8dd77a · outbound

This paper cites Rama Krishna , title =.

Agentic Anomaly Detection with ORCA-Style Dynamic Inductive Bias Adaptation in Multimodal Wearable Time Series Data Rama Krishna , title =

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-14T04:25:52.504285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T04:25:51.542987Z digest=sha256:95fce2f79bf10df8baf8df8b796e3f163ee06a999715d88ed8bc30add5cfd793

Observation 9de03914-5d73-46d9-8ab1-d71b4337f673 · outbound

This paper cites Rassam , title =.

Agentic Anomaly Detection with ORCA-Style Dynamic Inductive Bias Adaptation in Multimodal Wearable Time Series Data Rassam , title =

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-14T04:25:52.494362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T04:25:51.546626Z digest=sha256:5866db5c317c90617939f7b2ccdfb04d035bfdba117f5923ddc9fa1796b7cb40

Observation 09938b9c-ea05-403a-8b47-0c8470d41ef4 · outbound

This paper cites An ECG Monitoring System For Prediction Of Cardiac Anomalies Using WBAN , booktitle =.

Agentic Anomaly Detection with ORCA-Style Dynamic Inductive Bias Adaptation in Multimodal Wearable Time Series Data An ECG Monitoring System For Prediction Of Cardiac Anomalies Using WBAN , booktitle =

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-14T04:25:52.482326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T04:25:51.550971Z digest=sha256:dfeb020c0ee79f119bf1d96957a141b0f7ea0fb3a0cb12840f94b1bbbc854fa3

Observation 1246fc42-5ed5-442b-92ca-1a38b48b85a5 · outbound

This paper cites Khan and Aftab Hussain Tabasam and Abdul Latif , title =.

Agentic Anomaly Detection with ORCA-Style Dynamic Inductive Bias Adaptation in Multimodal Wearable Time Series Data Khan and Aftab Hussain Tabasam and Abdul Latif , title =

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-14T04:25:52.472186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T04:25:51.554521Z digest=sha256:cc959e1fd8c302fe8031039abe0bb756aa2e1bbbf0f6b963469bc3fe6b1f756d

Observation ff51419b-9257-4f13-bce4-24451bcf9f3b · outbound

This paper cites IEEE Journal of Selected Areas in Sensors , year =.

Agentic Anomaly Detection with ORCA-Style Dynamic Inductive Bias Adaptation in Multimodal Wearable Time Series Data IEEE Journal of Selected Areas in Sensors , year =

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-14T04:25:52.461586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T04:25:51.558073Z digest=sha256:a7d2718f8fa3af8aa0b0ff60599ee35c1dea53cc1c9c8f17e1bb59507e17a22f

Observation e49aeec0-744d-496f-ba7b-e61800773c60 · outbound

This paper cites Aljumaily and Sherwan Jalal Abdullah , title =.

Agentic Anomaly Detection with ORCA-Style Dynamic Inductive Bias Adaptation in Multimodal Wearable Time Series Data Aljumaily and Sherwan Jalal Abdullah , title =

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:25:52.451009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T04:25:51.561713Z digest=sha256:14f6292cf879101bf4cb3c82d1bbec6ba3ff4b81555614f6240b87d9c0de7ed5

Observation 8c82ddf7-4f83-4cc3-943f-bdfca753ab28 · outbound

This paper cites Temporal Fusion Transformers for interpretable multi-horizon time series forecasting , journal =.

Agentic Anomaly Detection with ORCA-Style Dynamic Inductive Bias Adaptation in Multimodal Wearable Time Series Data Temporal Fusion Transformers for interpretable multi-horizon time series forecasting , journal =

Reference 11

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raw_fallback, observed 2026-08-14T04:25:52.441168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T04:25:51.569198Z digest=sha256:7b7f8227edbd764ada07f188e5bbdd4717c967b21231d6e17b1ee53997769356

Observation 8eb23b68-debd-4624-b316-82e447ab6fa7 · outbound

This paper cites RNNs, CNNs and Transformers in Human Action Recognition: A Survey and a Hybrid Model.

Agentic Anomaly Detection with ORCA-Style Dynamic Inductive Bias Adaptation in Multimodal Wearable Time Series Data RNNs, CNNs and Transformers in Human Action Recognition: A Survey and a Hybrid Model

Reference 12

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unresolved
no resolver link, observed 2026-08-14T04:25:51.572679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:25:51.572679Z digest=sha256:328432a3ca65dcd0eade508805583a18376524f28e7ae2c9a52f6fdb788f04fd

Observation 0b9902c8-573e-44a8-9270-2ccde3640ae7 · outbound

This paper cites Were RNNs All We Needed?.

Agentic Anomaly Detection with ORCA-Style Dynamic Inductive Bias Adaptation in Multimodal Wearable Time Series Data Were RNNs All We Needed?

Reference 13

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unresolved
no resolver link, observed 2026-08-14T04:25:51.577429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:25:51.577429Z digest=sha256:01a7d330f8add57799fafe5e89c00c601f1a9c6105b6f80ea2659101cfa7d6f4

Observation 0ab4b3a9-d68e-40c5-a30a-1ca6508f58eb · outbound

This paper cites Gomez and.

Agentic Anomaly Detection with ORCA-Style Dynamic Inductive Bias Adaptation in Multimodal Wearable Time Series Data Gomez and

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-14T04:25:52.430788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T04:25:51.585150Z digest=sha256:49cb7c9f71895fe972e682e27e03bac84bc61910e11f318a0197c999ea8d7a01

Observation cb273c01-1aca-4c28-b37d-30cc60b952a1 · outbound

This paper cites Temporal Convolutional Networks: A Unified Approach to Action Segmentation , booktitle =.

Agentic Anomaly Detection with ORCA-Style Dynamic Inductive Bias Adaptation in Multimodal Wearable Time Series Data Temporal Convolutional Networks: A Unified Approach to Action Segmentation , booktitle =

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-14T04:25:52.421380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T04:25:51.589160Z digest=sha256:e56125d8679a97a27b0e2b6cbe16fef7157cba8d66cd19c95e99a08bcfb87460

Observation 25b6d0ff-6a54-4694-bac0-80bb30a0e5a6 · outbound

This paper cites Self-Attention with Relative Position Representations.

Agentic Anomaly Detection with ORCA-Style Dynamic Inductive Bias Adaptation in Multimodal Wearable Time Series Data Self-Attention with Relative Position Representations

Reference 17

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no resolver link, observed 2026-08-14T04:25:51.592598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:25:51.592598Z digest=sha256:6f3a4d8be03743bac02b17e1f1888a53ce64854ea3cdac2fd36d36e1500e9309

Observation 44a7e3a8-c1d9-4372-8099-e2f5687b890b · outbound

This paper cites Jayarekha , title =.

Agentic Anomaly Detection with ORCA-Style Dynamic Inductive Bias Adaptation in Multimodal Wearable Time Series Data Jayarekha , title =

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-14T04:25:52.412143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T04:25:51.603265Z digest=sha256:0784a6386898cef009c94498fdc25a931d65af5070b3f2a5157df0f27abb9fef

Observation 68d96b96-b955-484d-bb98-8712781df062 · outbound

This paper cites End-to-end PDDL Planning with Hardcoded and Dynamic Agents.

Agentic Anomaly Detection with ORCA-Style Dynamic Inductive Bias Adaptation in Multimodal Wearable Time Series Data End-to-end PDDL Planning with Hardcoded and Dynamic Agents

Reference 21

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no resolver link, observed 2026-08-14T04:25:51.606690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:25:51.606690Z digest=sha256:f7c8a54836512859799179b5024f5bfe572ed67f3e544a2b199bf992a42618ee

Observation 51ec5645-7e60-4a6d-8533-0b8eee477556 · outbound

This paper cites IEEE Communications Standards Magazine , year =.

Agentic Anomaly Detection with ORCA-Style Dynamic Inductive Bias Adaptation in Multimodal Wearable Time Series Data IEEE Communications Standards Magazine , year =

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-14T04:25:52.402547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T04:25:51.613453Z digest=sha256:1ecbfaa3d4854f17cb88723b6b72af3e122c35eafed5e85b20a65561db960011

Observation d7d4a625-365a-454f-a19d-b137a97ca165 · outbound

This paper cites Gradient Weight-normalized Low-rank Projection for Efficient LLM Training.

Agentic Anomaly Detection with ORCA-Style Dynamic Inductive Bias Adaptation in Multimodal Wearable Time Series Data Gradient Weight-normalized Low-rank Projection for Efficient LLM Training

Reference 24

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unresolved
no resolver link, observed 2026-08-14T04:25:51.616737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:25:51.616737Z digest=sha256:0fc368dc1bf81a38d2861b635beb7838afcf640667fe5f7a24402d3c4f7556fa

Observation b14907ed-b0a5-41d3-bce9-8d5556171ba3 · outbound

This paper cites an unresolved cited work.

Agentic Anomaly Detection with ORCA-Style Dynamic Inductive Bias Adaptation in Multimodal Wearable Time Series Data Unresolved cited work

Reference 25

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unresolved
raw_fallback, observed 2026-08-14T04:25:52.391041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T04:25:51.620027Z digest=sha256:e4371af2b005cb6612ccdc1da228eb5d2053ccf99d40621e3424c2cbb6410ac7

Observation 69b9e146-97dc-430c-98d9-4b922969df8a · outbound

This paper cites an unresolved cited work.

Agentic Anomaly Detection with ORCA-Style Dynamic Inductive Bias Adaptation in Multimodal Wearable Time Series Data Unresolved cited work

Reference 26

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unresolved
raw_fallback, observed 2026-08-14T04:25:52.380548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T04:25:51.623856Z digest=sha256:18f945b12fc13658f2f1bc6e2a4e23932157130ebdef51db54cb5d5b07c7a690

Observation b39c3353-51fd-4d5b-a88f-64e36dda0428 · outbound

This paper cites Stojanovi \'c , and Suzi Seroja Sarnin.

Agentic Anomaly Detection with ORCA-Style Dynamic Inductive Bias Adaptation in Multimodal Wearable Time Series Data Stojanovi \'c , and Suzi Seroja Sarnin

Reference 27

Resolution
metadata mismatch
raw_fallback, observed 2026-08-14T04:25:52.051530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T04:25:51.627898Z digest=sha256:aab6499e6fc527b9328f83fab0d78079304ed3d4aabf88306c7975c280e55724

Observation fd9d0adb-f7ab-41ea-91f6-f4e292876e4e · outbound

This paper cites an unresolved cited work.

Agentic Anomaly Detection with ORCA-Style Dynamic Inductive Bias Adaptation in Multimodal Wearable Time Series Data Unresolved cited work

Reference 28

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unresolved
no resolver link, observed 2026-08-14T04:25:51.630995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:25:51.630995Z digest=sha256:7c39c3af33f1abae113bd6dc630061f66baa0948150259432568fecdcc96d45c

Observation 84503a91-962a-46a1-9103-5432d087830e · outbound

This paper cites Aljumaily and Sherwan Jalal Abdullah.

Agentic Anomaly Detection with ORCA-Style Dynamic Inductive Bias Adaptation in Multimodal Wearable Time Series Data Aljumaily and Sherwan Jalal Abdullah

Reference 29

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verified exact
doi, observed 2026-08-14T04:25:51.789798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T04:25:51.634309Z digest=sha256:54df5e922d3166c978997aeff19713461ea66cb0480d32996a3bd7813bb92a05

Observation aed6a86c-71d4-43f5-8706-49c8a22f1018 · outbound

This paper cites Rnns, cnns and transformers in human action recognition: A survey and a hybrid model.

Agentic Anomaly Detection with ORCA-Style Dynamic Inductive Bias Adaptation in Multimodal Wearable Time Series Data Rnns, cnns and transformers in human action recognition: A survey and a hybrid model

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:25:52.368812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T04:25:51.637712Z digest=sha256:02344172e93b6fdbd3d82f84a9d882021c40c9a23ad8d98a3ec5cb88e255d0d8

Observation 08340da8-ccaf-444f-9ff2-7fa86ddc40ab · outbound

This paper cites Khan, Aftab Hussain Tabasam, and Abdul Latif.

Agentic Anomaly Detection with ORCA-Style Dynamic Inductive Bias Adaptation in Multimodal Wearable Time Series Data Khan, Aftab Hussain Tabasam, and Abdul Latif

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:25:52.357688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T04:25:51.641180Z digest=sha256:094bc587354ac35f6ddecaf22527724be3100bc9aac96574e9179c307561e8d8

Observation cbcbe7a8-42e0-4c60-9a7e-3c4fcf22536b · outbound

This paper cites A convolutional transformer network for anomaly detection in wireless body area networks.

Agentic Anomaly Detection with ORCA-Style Dynamic Inductive Bias Adaptation in Multimodal Wearable Time Series Data A convolutional transformer network for anomaly detection in wireless body area networks

Reference 32

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unresolved
no resolver link, observed 2026-08-14T04:25:51.644684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:25:51.644684Z digest=sha256:8d4ed418daed66ae90b61c8226f2e51a04601f680fe9876e437073b5b7e075a2

Observation d4cd472f-9582-4247-a9f3-2f4db6d25a66 · outbound

This paper cites Advanced architectures integrated with agentic ai for next-generation wireless networks.

Agentic Anomaly Detection with ORCA-Style Dynamic Inductive Bias Adaptation in Multimodal Wearable Time Series Data Advanced architectures integrated with agentic ai for next-generation wireless networks

Reference 33

Resolution
metadata mismatch
raw_fallback, observed 2026-08-14T04:25:51.936169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T04:25:51.648702Z digest=sha256:f1068e38c25d1123bb62a6fcf9c1e318436513d62fd0524486b12c16295bf277

Observation 5410d37d-130b-44af-9929-fa986e18bed0 · outbound

This paper cites Were rnns all we needed? arXiv preprint, 2024.

Agentic Anomaly Detection with ORCA-Style Dynamic Inductive Bias Adaptation in Multimodal Wearable Time Series Data Were rnns all we needed? arXiv preprint, 2024

Reference 34

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verified fuzzy
raw_fallback, observed 2026-08-14T04:25:52.347468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T04:25:51.651570Z digest=sha256:ad6aa260d37e111e67c5930a5dd49e6372991841923e10d9939e003bfb299545

Observation 174e89a3-3857-4ad2-8704-d33526261f86 · outbound

This paper cites An ecg monitoring system for prediction of cardiac anomalies using wban.

Agentic Anomaly Detection with ORCA-Style Dynamic Inductive Bias Adaptation in Multimodal Wearable Time Series Data An ecg monitoring system for prediction of cardiac anomalies using wban

Reference 35

Resolution
metadata mismatch
raw_fallback, observed 2026-08-14T04:25:51.875986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T04:25:51.655063Z digest=sha256:cfc13ae433796a607d94c244e43541f8431ed1135569399bf0b601c8991b5a20

Observation d1c4d28f-24b4-4c6e-b995-902afd860dab · outbound

This paper cites Temporal convolutional networks for anomaly detection in time series.

Agentic Anomaly Detection with ORCA-Style Dynamic Inductive Bias Adaptation in Multimodal Wearable Time Series Data Temporal convolutional networks for anomaly detection in time series

Reference 36

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unresolved
no resolver link, observed 2026-08-14T04:25:51.658447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:25:51.658447Z digest=sha256:03861f3d6930d36cf551147628a17ea9d5f40c21ae6695f0244cc1fbdb6d0cc3

Observation 7addbdd6-e5f0-42a3-b515-8e9b9a5bb5cb · outbound

This paper cites Gradient weight-normalized low-rank projection for efficient llm training.

Agentic Anomaly Detection with ORCA-Style Dynamic Inductive Bias Adaptation in Multimodal Wearable Time Series Data Gradient weight-normalized low-rank projection for efficient llm training

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:25:52.336938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T04:25:51.661993Z digest=sha256:5636a1eb97985459b07ff6584ddd4380cc147f69053f954d2da5a5eb1c2a6edd

Observation 3470eec5-b378-4923-9421-3fbe090370c9 · outbound

This paper cites Motaharul Islam and Md.

Agentic Anomaly Detection with ORCA-Style Dynamic Inductive Bias Adaptation in Multimodal Wearable Time Series Data Motaharul Islam and Md

Reference 38

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unresolved
no resolver link, observed 2026-08-14T04:25:51.665639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:25:51.665639Z digest=sha256:6eec497ca92e50b3940c9289e82e8d2cbcc1416828b79df727e85da59284c4c0

Observation 721cfae3-8efd-4dde-923a-d4dcf4104c25 · outbound

This paper cites Khurshid, and Mahmoud Othman.

Agentic Anomaly Detection with ORCA-Style Dynamic Inductive Bias Adaptation in Multimodal Wearable Time Series Data Khurshid, and Mahmoud Othman

Reference 39

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verified exact
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This paper cites Jayarekha.

Agentic Anomaly Detection with ORCA-Style Dynamic Inductive Bias Adaptation in Multimodal Wearable Time Series Data Jayarekha

Reference 40

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 7d29b1e7-2d1b-4514-a1aa-4cf630df4013 · outbound

This paper cites an unresolved cited work.

Agentic Anomaly Detection with ORCA-Style Dynamic Inductive Bias Adaptation in Multimodal Wearable Time Series Data Unresolved cited work

Reference 41

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 79e17cac-564b-4e38-bf23-c0ebbaa46b1d · outbound

This paper cites an unresolved cited work.

Agentic Anomaly Detection with ORCA-Style Dynamic Inductive Bias Adaptation in Multimodal Wearable Time Series Data Unresolved cited work

Reference 42

Resolution
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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a91db415-5b2d-439e-960f-9d7ae3e1a279 · outbound

This paper cites Abnormality detection in wireless medical sensor networks using machine learning model.

Agentic Anomaly Detection with ORCA-Style Dynamic Inductive Bias Adaptation in Multimodal Wearable Time Series Data Abnormality detection in wireless medical sensor networks using machine learning model

Reference 43

Resolution
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Observation 8928cd59-8511-44e1-b23f-fc14e10427f1 · outbound

This paper cites an unresolved cited work.

Agentic Anomaly Detection with ORCA-Style Dynamic Inductive Bias Adaptation in Multimodal Wearable Time Series Data Unresolved cited work

Reference 44

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 1c25681d-5f19-4108-8368-344305ced626 · outbound

This paper cites Arik, Nicolas Loeff, and Tomas Pfister.

Agentic Anomaly Detection with ORCA-Style Dynamic Inductive Bias Adaptation in Multimodal Wearable Time Series Data Arik, Nicolas Loeff, and Tomas Pfister

Reference 45

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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This paper cites Consmax: Hardware-friendly alternative softmax with learnable parameters.

Agentic Anomaly Detection with ORCA-Style Dynamic Inductive Bias Adaptation in Multimodal Wearable Time Series Data Consmax: Hardware-friendly alternative softmax with learnable parameters

Reference 46

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation cad47332-9558-4f0d-a16a-c952b05934da · outbound

This paper cites An end-to-end planning framework with agentic llms and pddl.

Agentic Anomaly Detection with ORCA-Style Dynamic Inductive Bias Adaptation in Multimodal Wearable Time Series Data An end-to-end planning framework with agentic llms and pddl

Reference 47

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 8d46407e-c237-443e-9b09-9e47c856f570 · outbound

This paper cites Agentic large language models, a survey.

Agentic Anomaly Detection with ORCA-Style Dynamic Inductive Bias Adaptation in Multimodal Wearable Time Series Data Agentic large language models, a survey

Reference 48

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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This paper cites Self-attention with relative position representations.

Agentic Anomaly Detection with ORCA-Style Dynamic Inductive Bias Adaptation in Multimodal Wearable Time Series Data Self-attention with relative position representations

Reference 49

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 8a993589-e4ef-4f4b-9ce9-dd9573b69b24 · outbound

This paper cites Rama Krishna.

Agentic Anomaly Detection with ORCA-Style Dynamic Inductive Bias Adaptation in Multimodal Wearable Time Series Data Rama Krishna

Reference 50

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 01151d09-c381-4547-b16b-c8daf50b5a40 · outbound

This paper cites Gomez, ukasz Kaiser, and Illia Polosukhin.

Agentic Anomaly Detection with ORCA-Style Dynamic Inductive Bias Adaptation in Multimodal Wearable Time Series Data Gomez, ukasz Kaiser, and Illia Polosukhin

Reference 51

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 605f80a5-a5a3-41f3-9652-ab22f1c56291 · outbound

This paper cites an unresolved cited work.

Agentic Anomaly Detection with ORCA-Style Dynamic Inductive Bias Adaptation in Multimodal Wearable Time Series Data Unresolved cited work

Reference 52

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.