Paper Citation Record · LEDGER

FINN-GL: Generalized Mixed-Precision Extensions for FPGA-Accelerated LSTMs

As of 22 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2506.20810.

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

pith.paper-citation-record.v1
2506.20810 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:45:52.005133Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

27 of 27 outbound references displayed

verified exact1
verified fuzzy23
unresolved3
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0c85e91c-30e5-4f6b-a449-a121323556e4 · outbound

This paper cites Deeplob: Deep convolutional neural networks for limit order books,.

FINN-GL: Generalized Mixed-Precision Extensions for FPGA-Accelerated LSTMs Deeplob: Deep convolutional neural networks for limit order books,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:56.775044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6ce326da-af43-43be-ac92-a6fdbdbc12fb · outbound

This paper cites FINN-R: An end-to-end deep- learning framework for fast exploration of quantized neural networks,.

FINN-GL: Generalized Mixed-Precision Extensions for FPGA-Accelerated LSTMs FINN-R: An end-to-end deep- learning framework for fast exploration of quantized neural networks,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T22:45:50.148208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d51d458-3cdd-4b5f-99ba-e44f04a1b6db · outbound

This paper cites Fast inference of deep neural networks in FPGAs for particle physics,.

FINN-GL: Generalized Mixed-Precision Extensions for FPGA-Accelerated LSTMs Fast inference of deep neural networks in FPGAs for particle physics,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T22:45:50.240622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b53ccaf-08bb-4a74-8e59-1c8fabb57f8b · outbound

This paper cites Near real-time wind speed forecast model with bidirectional LSTM networks,.

FINN-GL: Generalized Mixed-Precision Extensions for FPGA-Accelerated LSTMs Near real-time wind speed forecast model with bidirectional LSTM networks,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:56.599896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e3d1149c-4b3b-479e-8440-94731bb30d78 · outbound

This paper cites https://onnx.ai/.

FINN-GL: Generalized Mixed-Precision Extensions for FPGA-Accelerated LSTMs https://onnx.ai/

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:56.408921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fb4d6d6d-b5fb-47e0-a1a8-b49f990f98ee · outbound

This paper cites FINN-L: Library extensions and design trade-off analysis for variable precision LSTM networks on FPGAs,.

FINN-GL: Generalized Mixed-Precision Extensions for FPGA-Accelerated LSTMs FINN-L: Library extensions and design trade-off analysis for variable precision LSTM networks on FPGAs,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:56.198031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d013a04c-92df-466b-a466-3209f7b84295 · outbound

This paper cites Elastic-df: Scaling perfor- mance of dnn inference in fpga clouds through automatic partitioning,.

FINN-GL: Generalized Mixed-Precision Extensions for FPGA-Accelerated LSTMs Elastic-df: Scaling perfor- mance of dnn inference in fpga clouds through automatic partitioning,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:56.032426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2ada7e3c-312c-4872-899c-e616682c5488 · outbound

This paper cites Streamlined Deployment for Quantized Neural Networks.

FINN-GL: Generalized Mixed-Precision Extensions for FPGA-Accelerated LSTMs Streamlined Deployment for Quantized Neural Networks

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-06T22:45:52.155044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cac856d2-c2f2-45e6-a1a3-8e99aee13e90 · outbound

This paper cites The use of recurrent neural networks in continuous speech recognition,.

FINN-GL: Generalized Mixed-Precision Extensions for FPGA-Accelerated LSTMs The use of recurrent neural networks in continuous speech recognition,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:55.844682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 99eb09a9-ee82-41ce-bdc0-7f79d96e47fd · outbound

This paper cites Ultra-low latency recurrent neural network inference on FPGAs for physics applications with hls4ml,.

FINN-GL: Generalized Mixed-Precision Extensions for FPGA-Accelerated LSTMs Ultra-low latency recurrent neural network inference on FPGAs for physics applications with hls4ml,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:55.698329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4aa83744-c422-42bc-b4db-f53cff251aad · outbound

This paper cites Mapping large lstms to fpgas with weight reuse,.

FINN-GL: Generalized Mixed-Precision Extensions for FPGA-Accelerated LSTMs Mapping large lstms to fpgas with weight reuse,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:55.512591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 345195ee-eefd-4ddf-8ee2-7352c0323172 · outbound

This paper cites F-LSTM: FPGA-based heterogeneous computing framework for deploying LSTM-based algorithms,.

FINN-GL: Generalized Mixed-Precision Extensions for FPGA-Accelerated LSTMs F-LSTM: FPGA-based heterogeneous computing framework for deploying LSTM-based algorithms,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:55.366597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6d488c5d-647e-4771-8c6b-d05cb3737336 · outbound

This paper cites An Efficient Sparse LSTM Accelerator on Embedded FPGAs with Bandwidth-Oriented Pruning,.

FINN-GL: Generalized Mixed-Precision Extensions for FPGA-Accelerated LSTMs An Efficient Sparse LSTM Accelerator on Embedded FPGAs with Bandwidth-Oriented Pruning,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:55.133672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8307c0cb-48b6-4b99-b91c-7ef311f9e094 · outbound

This paper cites C-LSTM: Enabling efficient LSTM using structured compression tech- niques on FPGAs,.

FINN-GL: Generalized Mixed-Precision Extensions for FPGA-Accelerated LSTMs C-LSTM: Enabling efficient LSTM using structured compression tech- niques on FPGAs,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:54.862356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2e82c6cd-8886-41c3-913e-bc7cb93509c9 · outbound

This paper cites Mapping multiple LSTM models on FPGAs,.

FINN-GL: Generalized Mixed-Precision Extensions for FPGA-Accelerated LSTMs Mapping multiple LSTM models on FPGAs,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:54.555685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 613ad562-79b7-48c0-a4cc-b57358026732 · outbound

This paper cites Streaming Overlay Architecture for Lightweight LSTM Computation on FPGA SoCs,.

FINN-GL: Generalized Mixed-Precision Extensions for FPGA-Accelerated LSTMs Streaming Overlay Architecture for Lightweight LSTM Computation on FPGA SoCs,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:54.330919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9473445e-ef9d-49fc-94e0-3ce5484d254a · outbound

This paper cites https://www.investopedia.com/terms/l/limitorderbook.asp,.

FINN-GL: Generalized Mixed-Precision Extensions for FPGA-Accelerated LSTMs https://www.investopedia.com/terms/l/limitorderbook.asp,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:54.086560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fdbb506c-9b8b-4172-87ab-6f83ff153462 · outbound

This paper cites Using deep learning to detect price change indications in financial markets,.

FINN-GL: Generalized Mixed-Precision Extensions for FPGA-Accelerated LSTMs Using deep learning to detect price change indications in financial markets,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:53.874771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a08d721f-0207-469e-bb73-93337902f36a · outbound

This paper cites Benchmark dataset for mid-price forecasting of limit order book data with machine learning methods,.

FINN-GL: Generalized Mixed-Precision Extensions for FPGA-Accelerated LSTMs Benchmark dataset for mid-price forecasting of limit order book data with machine learning methods,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:53.594698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e032d29c-7e82-4f20-8f0e-3dec5288709d · outbound

This paper cites Temporal attention-augmented bilinear network for financial time-series data analysis,.

FINN-GL: Generalized Mixed-Precision Extensions for FPGA-Accelerated LSTMs Temporal attention-augmented bilinear network for financial time-series data analysis,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:53.343360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ba9b139e-70b5-47b4-bd0b-a430fc52d874 · outbound

This paper cites Forecasting stock prices from the limit order book using convolutional neural networks,.

FINN-GL: Generalized Mixed-Precision Extensions for FPGA-Accelerated LSTMs Forecasting stock prices from the limit order book using convolutional neural networks,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:53.109576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7bfd6260-9d5b-492f-b64e-c3393decee3a · outbound

This paper cites Using deep learning for price prediction by exploiting stationary limit order book features,.

FINN-GL: Generalized Mixed-Precision Extensions for FPGA-Accelerated LSTMs Using deep learning for price prediction by exploiting stationary limit order book features,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:52.903251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ad928369-8af5-4152-b66a-89db94d34518 · outbound

This paper cites https://github.com/onnx/onnx/blob/main/docs/operators.md#scan,.

FINN-GL: Generalized Mixed-Precision Extensions for FPGA-Accelerated LSTMs https://github.com/onnx/onnx/blob/main/docs/operators.md#scan,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:52.766610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f58829f6-19e2-443d-88c7-9d27177e9694 · outbound

This paper cites Xilinx/brevitas,.

FINN-GL: Generalized Mixed-Precision Extensions for FPGA-Accelerated LSTMs Xilinx/brevitas,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:52.625723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 85a7fd6e-a7b8-4cec-bce5-6cb94243bde6 · outbound

This paper cites Quantlstm - brevitas tutorials,.

FINN-GL: Generalized Mixed-Precision Extensions for FPGA-Accelerated LSTMs Quantlstm - brevitas tutorials,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:52.463154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1850e86d-78a0-409f-be97-f8ead4298bb8 · outbound

This paper cites QONNX: Representing Arbitrary-Precision Quantized Neural Networks.

FINN-GL: Generalized Mixed-Precision Extensions for FPGA-Accelerated LSTMs QONNX: Representing Arbitrary-Precision Quantized Neural Networks

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T22:45:51.914403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14b33c7c-37e2-473d-a862-e77b6c362ae3 · outbound

This paper cites Temporal bag-of-features learning for predicting mid price movements using high frequency limit order book data,.

FINN-GL: Generalized Mixed-Precision Extensions for FPGA-Accelerated LSTMs Temporal bag-of-features learning for predicting mid price movements using high frequency limit order book data,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:45:52.319593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

No inbound Pith citation observations are available.