Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T05:34:01.780116Z
Paper Citation Record · LEDGER
As of 18 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2608.07363.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T05:34:01.780116Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
21 of 21 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 1168c8b3-87d7-495a-b182-6f6ffcb80c35 · outbound
QFCQT: A Chaotically Gated Quantformer Framework for Volatile Time-Series Forecasting Dfc-lstm: A novel lstm architecture integrating dynamic fractal gating and chaotic activation for value-at-risk forecasting,
Reference 1
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.
Observation bdd2ee50-1886-4dd0-a44b-8687041ad40c · outbound
QFCQT: A Chaotically Gated Quantformer Framework for Volatile Time-Series Forecasting Quantformer: from attention to profit with a quantitative transformer trading strategy,
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 75c8a7cd-2c26-48b2-a8d8-687d80f3849a · outbound
QFCQT: A Chaotically Gated Quantformer Framework for Volatile Time-Series Forecasting Cotn: A chaotic oscillatory transformer network for complex volatile systems under extreme conditions,
Reference 3
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.
Observation 2dfddc07-5499-4698-b497-e13c8ed2a1ee · outbound
QFCQT: A Chaotically Gated Quantformer Framework for Volatile Time-Series Forecasting A transient-chaotic autoassociative network (tcan) based on lee oscillators,
Reference 4
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.
Observation 7576a41c-1285-4aaa-bd4a-74f18b6c342f · outbound
QFCQT: A Chaotically Gated Quantformer Framework for Volatile Time-Series Forecasting Chaotic type-2 transient-fuzzy deep neuro-oscillatory network (ct2tfdnn) for worldwide financial prediction,
Reference 5
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.
Observation ac8c1d93-f8ac-46a6-bb81-8009dc649db0 · outbound
QFCQT: A Chaotically Gated Quantformer Framework for Volatile Time-Series Forecasting Unresolved cited work
Reference 6
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.
Observation 1182a2b4-727d-43b3-9137-67db4f9aeedd · outbound
QFCQT: A Chaotically Gated Quantformer Framework for Volatile Time-Series Forecasting Logtrans: Providing efficient local-global fusion with transformer and cnn parallel network for biomedical image segmentation,
Reference 7
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.
Observation 80943c06-9102-4ba8-8268-f0bb0744b795 · outbound
QFCQT: A Chaotically Gated Quantformer Framework for Volatile Time-Series Forecasting Transformer in transformer,
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bbdd228f-ea1e-405b-a5e0-84a8605767ad · outbound
QFCQT: A Chaotically Gated Quantformer Framework for Volatile Time-Series Forecasting Informer: Beyond efficient transformer for long sequence time-series forecasting,
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation de70ce45-794b-4737-8934-d5405df73419 · outbound
QFCQT: A Chaotically Gated Quantformer Framework for Volatile Time-Series Forecasting Attention is all you need,
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6dfc5f3e-fa55-4af6-b6fe-5f627ac1d4a1 · outbound
QFCQT: A Chaotically Gated Quantformer Framework for Volatile Time-Series Forecasting Lstm: A search space odyssey,
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4beac64f-88b7-403e-8890-94165438c535 · outbound
QFCQT: A Chaotically Gated Quantformer Framework for Volatile Time-Series Forecasting Are transformers effective for time series forecasting?
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 978d4109-9c3c-47e3-9b4b-019c8f5a6036 · outbound
QFCQT: A Chaotically Gated Quantformer Framework for Volatile Time-Series Forecasting TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6c17a283-30bd-461e-967c-f7144762028b · outbound
QFCQT: A Chaotically Gated Quantformer Framework for Volatile Time-Series Forecasting Transformers in Time Series: A Survey
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 890e5c21-ce99-4338-8869-5a4bdd575e15 · outbound
QFCQT: A Chaotically Gated Quantformer Framework for Volatile Time-Series Forecasting Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case
Reference 15
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6d4918d5-6e16-448e-ae73-199d3fea8c69 · outbound
QFCQT: A Chaotically Gated Quantformer Framework for Volatile Time-Series Forecasting Transformers and attention-based networks in quantitative trading: a comprehensive survey,
Reference 16
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.
Observation 60400c2a-8225-46e5-bc3f-faee85d1e2c7 · outbound
QFCQT: A Chaotically Gated Quantformer Framework for Volatile Time-Series Forecasting Comparing transformer models for stock selection in quantitative trading,
Reference 17
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.
Observation 597accc9-6ef3-46d4-8390-1bc28649cc9f · outbound
QFCQT: A Chaotically Gated Quantformer Framework for Volatile Time-Series Forecasting Stock quantitative prediction analysis method based on deep learning transformer self-attention mechanism,
Reference 18
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.
Observation 0266c72d-d986-40d6-b093-83d8e31c8b22 · outbound
QFCQT: A Chaotically Gated Quantformer Framework for Volatile Time-Series Forecasting Performance of single-layer transformers in stock- price trend forecasting,
Reference 19
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.
Observation 12002fba-0603-49c6-820f-e9b2ebe48056 · outbound
QFCQT: A Chaotically Gated Quantformer Framework for Volatile Time-Series Forecasting Power system instability and chaos,
Reference 20
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.
Observation 37cb2a94-7e45-4cc9-a0c6-24d325628a0e · outbound
QFCQT: A Chaotically Gated Quantformer Framework for Volatile Time-Series Forecasting Forecasting stock price volatility: New evidence from the garch-midas model,
Reference 21
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.
No inbound Pith citation observations are available.