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Paper Citation Record · LEDGER

SigGate: Enhancing Recurrent Neural Networks with Signature-Based Gating Mechanisms

As of 15 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2502.09318.

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

pith.paper-citation-record.v1
2502.09318 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T21:57:15.401641Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

25 of 25 outbound references displayed

  • verified exact3
  • verified fuzzy8
  • unresolved14
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b4314190-415e-4cca-a6c8-a3d3515c51fd · outbound

This paper cites an unresolved cited work.

SigGate: Enhancing Recurrent Neural Networks with Signature-Based Gating Mechanisms Unresolved cited work

Reference 1

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raw_fallback, observed 2026-08-07T21:57:15.768363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation a54b6a8f-ab8b-4fc0-ab84-2f222088f5c1 · outbound

This paper cites an unresolved cited work.

SigGate: Enhancing Recurrent Neural Networks with Signature-Based Gating Mechanisms Unresolved cited work

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T21:57:15.312499Z digest=sha256:7703ac08458ab4a6bb357c574d84cf12820a09c40c1c1811174ed76212ec553b

Observation b619cb70-5595-4c27-b382-2202adbcfde9 · outbound

This paper cites Essai d’une recherche statistique sur le t exte du roman “Eugene Onegin.

SigGate: Enhancing Recurrent Neural Networks with Signature-Based Gating Mechanisms Essai d’une recherche statistique sur le t exte du roman “Eugene Onegin

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-07T21:57:15.750759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation b86ad47d-3416-4d85-8ecf-fded59f1c5ef · outbound

This paper cites Deep learning,.

SigGate: Enhancing Recurrent Neural Networks with Signature-Based Gating Mechanisms Deep learning,

Reference 4

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no resolver link, observed 2026-08-07T21:57:15.320697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T21:57:15.320697Z digest=sha256:e69798997e6aee93c792b3ac1fed7e769c1e6b746126564d719dd006474f921e

Observation 9126719b-b525-4187-ae9e-17bb9a5a09ec · outbound

This paper cites Medsker and L.

SigGate: Enhancing Recurrent Neural Networks with Signature-Based Gating Mechanisms Medsker and L

Reference 5

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no resolver link, observed 2026-08-07T21:57:15.326353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T21:57:15.326353Z digest=sha256:4ea2a1e2174e270dcd1589d752e03611436ad64637dba51875c7382eb9049b92

Observation 2efa4116-426f-4f2c-bb35-4b0974a9533b · outbound

This paper cites Time-series forecasting with deep learning: a survey,.

SigGate: Enhancing Recurrent Neural Networks with Signature-Based Gating Mechanisms Time-series forecasting with deep learning: a survey,

Reference 6

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no resolver link, observed 2026-08-07T21:57:15.330888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T21:57:15.330888Z digest=sha256:c51342dc9c49297561fe86638546a4a8b54c960dc775243e0cf1ff8791388922

Observation 531c15d7-e2d4-437b-8ac5-d44e4df496cc · outbound

This paper cites TKAN: Temporal Kolmogorov-Arnold Networks.

SigGate: Enhancing Recurrent Neural Networks with Signature-Based Gating Mechanisms TKAN: Temporal Kolmogorov-Arnold Networks

Reference 7

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no resolver link, observed 2026-08-07T21:57:15.335214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T21:57:15.335214Z digest=sha256:209484767126e5f897e0f32d3cc1cb42a083ac0bc9d66c1c0f8daa0689fdbfc5

Observation 5cb3e872-c682-4179-8b46-71c0c66f6935 · outbound

This paper cites Temporal fusi on transform- ers for interpretable multi-horizon time series forecasti ng,.

SigGate: Enhancing Recurrent Neural Networks with Signature-Based Gating Mechanisms Temporal fusi on transform- ers for interpretable multi-horizon time series forecasti ng,

Reference 8

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raw_fallback, observed 2026-08-07T21:57:15.719432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation c124a726-829f-416b-ac07-a95db21e25be · outbound

This paper cites A Temporal Kolmogorov-Arnold Transformer for Time Series Forecasting.

SigGate: Enhancing Recurrent Neural Networks with Signature-Based Gating Mechanisms A Temporal Kolmogorov-Arnold Transformer for Time Series Forecasting

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 93efb85b-8082-4d48-90cb-44d0a84e2671 · outbound

This paper cites Long short-term mem ory,.

SigGate: Enhancing Recurrent Neural Networks with Signature-Based Gating Mechanisms Long short-term mem ory,

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T21:57:15.346614Z digest=sha256:517ed9fef318983f968317ee87301a937b23b797fde6f8dd8416274d3a84d773

Observation 414c11ff-cb97-4733-9b48-e85ac815e0ef · outbound

This paper cites Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation.

SigGate: Enhancing Recurrent Neural Networks with Signature-Based Gating Mechanisms Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Reference 11

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Observation aa18f5ad-cf33-4c66-80c3-e9d75fbd7bfb · outbound

This paper cites Integration of paths–a faithful represen tation of paths by noncommutative formal power series,.

SigGate: Enhancing Recurrent Neural Networks with Signature-Based Gating Mechanisms Integration of paths–a faithful represen tation of paths by noncommutative formal power series,

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-07T21:57:15.700302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T21:57:15.354174Z digest=sha256:ce006bdb22100fe10af59ae610495e18cf9c3607996ba59e31677fd221d85052

Observation cb4bc40d-fcf3-48fd-aa30-1d3fa64b06fa · outbound

This paper cites A primer on the signatu re method in machine learning,.

SigGate: Enhancing Recurrent Neural Networks with Signature-Based Gating Mechanisms A primer on the signatu re method in machine learning,

Reference 13

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Observation 35d4b64b-d317-4017-bb19-943fb2a7f66d · outbound

This paper cites Embedding and learning with signatures ,.

SigGate: Enhancing Recurrent Neural Networks with Signature-Based Gating Mechanisms Embedding and learning with signatures ,

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T21:57:15.360973Z digest=sha256:fc341c120ad6c2d0d14c5eb587b1c5b534ed2f5a7e5545b7da396eb9d0ff657f

Observation cf91baf5-bec0-4a18-96d8-a6a19bb43fd5 · outbound

This paper cites Extracting information from the signature of a financial data stream.

SigGate: Enhancing Recurrent Neural Networks with Signature-Based Gating Mechanisms Extracting information from the signature of a financial data stream

Reference 15

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no resolver link, observed 2026-08-07T21:57:15.364310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a5991eb7-d285-4eed-bb94-373bd48e6f67 · outbound

This paper cites Deep signature s tatistics for likelihood-free time-series models,.

SigGate: Enhancing Recurrent Neural Networks with Signature-Based Gating Mechanisms Deep signature s tatistics for likelihood-free time-series models,

Reference 16

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raw_fallback, observed 2026-08-07T21:57:15.676602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 00a3f213-aeb3-493b-a2e1-6d8f40d80e73 · outbound

This paper cites SigKAN: Signature-Weighted Kolmogorov-Arnold Networks for Time Series.

SigGate: Enhancing Recurrent Neural Networks with Signature-Based Gating Mechanisms SigKAN: Signature-Weighted Kolmogorov-Arnold Networks for Time Series

Reference 17

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no resolver link, observed 2026-08-07T21:57:15.371556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c38798b3-14c1-4482-ad8f-49d0d996bc85 · outbound

This paper cites Improving the gating mechanism of recurrent neural networks,.

SigGate: Enhancing Recurrent Neural Networks with Signature-Based Gating Mechanisms Improving the gating mechanism of recurrent neural networks,

Reference 18

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raw_fallback, observed 2026-08-07T21:57:15.664518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation bbc4f072-7c06-4989-a0b0-eb3938422022 · outbound

This paper cites Simplified gating in long short-te rm memory (lstm) recurrent neural networks,.

SigGate: Enhancing Recurrent Neural Networks with Signature-Based Gating Mechanisms Simplified gating in long short-te rm memory (lstm) recurrent neural networks,

Reference 19

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raw_fallback, observed 2026-08-07T21:57:15.653381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation ad306ab5-2e71-4043-9f86-3fc5eb869bcb · outbound

This paper cites Refined Gate: A Simple and Effective Gating Mechanism for Recurrent Units.

SigGate: Enhancing Recurrent Neural Networks with Signature-Based Gating Mechanisms Refined Gate: A Simple and Effective Gating Mechanism for Recurrent Units

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 26b0b727-bf9a-44d1-b257-52549d56d9bc · outbound

This paper cites Differential equations driven by rough si gnals,.

SigGate: Enhancing Recurrent Neural Networks with Signature-Based Gating Mechanisms Differential equations driven by rough si gnals,

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation f30bad8f-7d08-478b-8460-1eaf3a9a4f76 · outbound

This paper cites Solving path dependent PDEs with LSTM networks and path signatures.

SigGate: Enhancing Recurrent Neural Networks with Signature-Based Gating Mechanisms Solving path dependent PDEs with LSTM networks and path signatures

Reference 22

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local_arxiv, observed 2026-08-07T21:57:15.479752Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation bd009a60-b551-4882-a0bf-8a32022a66dc · outbound

This paper cites Rough Transformers for Continuous and Efficient Time-Series Modelling.

SigGate: Enhancing Recurrent Neural Networks with Signature-Based Gating Mechanisms Rough Transformers for Continuous and Efficient Time-Series Modelling

Reference 23

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T21:57:15.393921Z digest=sha256:45bb914fa188f430d13625a9ca28247d74f87c5ade32d400e63f936dec0b3dba

Observation 35780616-e75f-459e-874f-16cda7f1559d · outbound

This paper cites Clustering Digital Assets Using Path Signatures: Application to Portfolio Construction.

SigGate: Enhancing Recurrent Neural Networks with Signature-Based Gating Mechanisms Clustering Digital Assets Using Path Signatures: Application to Portfolio Construction

Reference 24

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local_arxiv, observed 2026-08-07T21:57:15.453315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T21:57:15.397688Z digest=sha256:ad32a4cf1d000cba5438a0ed0c13aa6fd38dcbe60bebc425f04724d56e64bd3b

Observation 7b0708b1-233f-466e-b631-4ead75568dc0 · outbound

This paper cites Keras Sig: Efficient Path Signature Computation on GPU in Keras 3.

SigGate: Enhancing Recurrent Neural Networks with Signature-Based Gating Mechanisms Keras Sig: Efficient Path Signature Computation on GPU in Keras 3

Reference 25

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local_arxiv, observed 2026-08-07T21:57:15.437437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T21:57:15.401641Z digest=sha256:84ccae4c59ad1a035fb120db5d392a7781ff3213037b3fedfe4d187891170035

Pith citing papers

No inbound Pith citation observations are available.