Paper Citation Record · LEDGER

TinyD\'ej\`aVu: Smaller RAM and Faster Inference with Neural Networks on MCUs for Sensor Data Streams

As of 8 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2512.09786.

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

pith.paper-citation-record.v1
2512.09786 v2

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T17:26:41.428861Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

14 of 14 outbound references displayed

verified exact1
verified fuzzy0
unresolved12
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c95e3ff0-da1a-47c5-9f4a-1de589a619ea · outbound

This paper cites Fast Wavenet Generation Algorithm.

TinyD\'ej\`aVu: Smaller RAM and Faster Inference with Neural Networks on MCUs for Sensor Data Streams Fast Wavenet Generation Algorithm

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T17:26:40.980063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94e79134-a2ab-4ef1-8e1e-fe3065d3e205 · outbound

This paper cites an unresolved cited work.

TinyD\'ej\`aVu: Smaller RAM and Faster Inference with Neural Networks on MCUs for Sensor Data Streams Unresolved cited work

Reference 10

Resolution: verified exact; doi, observed 2026-08-03T17:28:27.230598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 66ce7fab-48c3-4327-8a51-476692af0969 · outbound

This paper cites Transformers in Time Series: A Survey.

TinyD\'ej\`aVu: Smaller RAM and Faster Inference with Neural Networks on MCUs for Sensor Data Streams Transformers in Time Series: A Survey

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T17:26:41.216067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29008ae1-f5c1-440d-9da5-38d51e90055e · outbound

This paper cites Flextensor: An automatic schedule exploration and opti- mization framework for tensor computation on heteroge- neous system.

TinyD\'ej\`aVu: Smaller RAM and Faster Inference with Neural Networks on MCUs for Sensor Data Streams Flextensor: An automatic schedule exploration and opti- mization framework for tensor computation on heteroge- neous system

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T17:26:41.428861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6595b88a-0990-48b5-89be-2923bf08e91a · outbound

This paper cites The IREE Authors.

TinyD\'ej\`aVu: Smaller RAM and Faster Inference with Neural Networks on MCUs for Sensor Data Streams The IREE Authors

Reference 173

Resolution: unresolved; no resolver link, observed 2026-08-03T17:26:41.133892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 154622f4-9c8e-4caf-bcfd-3e36fdc24b60 · outbound

This paper cites WaveNet: A Generative Model for Raw Audio.

TinyD\'ej\`aVu: Smaller RAM and Faster Inference with Neural Networks on MCUs for Sensor Data Streams WaveNet: A Generative Model for Raw Audio

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-03T17:26:40.919835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05e9aca2-3592-4faf-b7c1-08d220bcbd79 · outbound

This paper cites and Baccelli, E.

TinyD\'ej\`aVu: Smaller RAM and Faster Inference with Neural Networks on MCUs for Sensor Data Streams and Baccelli, E

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-03T17:26:40.685779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ad69676-6e85-40e5-bdef-689e31b82b2e · outbound

This paper cites An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling.

TinyD\'ej\`aVu: Smaller RAM and Faster Inference with Neural Networks on MCUs for Sensor Data Streams An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-03T17:26:40.504876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 090c5d92-be6b-43a1-9757-e54a5bb750e2 · outbound

This paper cites A Study of BFLOAT16 for Deep Learning Training.

TinyD\'ej\`aVu: Smaller RAM and Faster Inference with Neural Networks on MCUs for Sensor Data Streams A Study of BFLOAT16 for Deep Learning Training

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-03T17:26:40.823419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ad0555a-82e5-4af9-a021-6196a5702422 · outbound

This paper cites doi: 10.1109/TBCAS.2019.2959160.

TinyD\'ej\`aVu: Smaller RAM and Faster Inference with Neural Networks on MCUs for Sensor Data Streams doi: 10.1109/TBCAS.2019.2959160

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-03T17:26:41.294275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a2aa434-87bc-4043-a541-24c3bb66a3ba · outbound

This paper cites URL http://arxiv.

TinyD\'ej\`aVu: Smaller RAM and Faster Inference with Neural Networks on MCUs for Sensor Data Streams URL http://arxiv

Reference 2021

Resolution: malformed identifier; no resolver link, observed 2026-08-03T17:26:40.561640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bcfc501-9e6b-4e08-bfc6-a3d3aa149dd2 · outbound

This paper cites A 1-D CNN inference engine for constrained platforms.

TinyD\'ej\`aVu: Smaller RAM and Faster Inference with Neural Networks on MCUs for Sensor Data Streams A 1-D CNN inference engine for constrained platforms

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-03T17:26:40.878298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 069384ca-0ebd-4646-bcf1-38c579b7bb8d · outbound

This paper cites Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality.

TinyD\'ej\`aVu: Smaller RAM and Faster Inference with Neural Networks on MCUs for Sensor Data Streams Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-03T17:26:40.615016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9937e53-fcc1-4efa-8cb4-d78941290197 · outbound

This paper cites RIOT-ML: toolkit for over-the-air secure updates and performance evaluation of TinyML models.Annals of Telecommunications, pp.

TinyD\'ej\`aVu: Smaller RAM and Faster Inference with Neural Networks on MCUs for Sensor Data Streams RIOT-ML: toolkit for over-the-air secure updates and performance evaluation of TinyML models.Annals of Telecommunications, pp

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-03T17:26:40.753418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.