Paper Citation Record · LEDGER

MINT: Dynamic-Precision CNN Inference with MSDF Digit-Serial Arithmetic on FPGA

As of 22 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2606.31514.

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

pith.paper-citation-record.v1
2606.31514 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-01T03:27:13.571412Z

measured 15 of 15 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

15 of 15 outbound references displayed

verified exact0
verified fuzzy14
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9ae90d05-0b41-4147-abdb-e9a82eceb427 · outbound

This paper cites A review of convolutional neural networks in computer vision.

MINT: Dynamic-Precision CNN Inference with MSDF Digit-Serial Arithmetic on FPGA A review of convolutional neural networks in computer vision

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T02:03:09.849693Z

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 f8cd806c-0523-4110-a553-0c348fefec30 · outbound

This paper cites A review of state-of-the-art mixed-precision neural network frameworks,.

MINT: Dynamic-Precision CNN Inference with MSDF Digit-Serial Arithmetic on FPGA A review of state-of-the-art mixed-precision neural network frameworks,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T02:03:09.857851Z

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 1e7d6f71-1d07-4ef0-ab81-2fd6a9e6fec6 · outbound

This paper cites Haq: Hardware-aware automated quantization with mixed pre- cision,.

MINT: Dynamic-Precision CNN Inference with MSDF Digit-Serial Arithmetic on FPGA Haq: Hardware-aware automated quantization with mixed pre- cision,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T02:03:09.837436Z

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 5b032d46-9538-4537-926d-1d9fd8cfe381 · outbound

This paper cites an unresolved cited work.

MINT: Dynamic-Precision CNN Inference with MSDF Digit-Serial Arithmetic on FPGA Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-07-07T02:03:09.815804Z

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 39921535-1765-4847-a572-7c950c67179b · outbound

This paper cites Low-latency online multiplier with reduced activities and mini- mized interconnect for inner product arrays,.

MINT: Dynamic-Precision CNN Inference with MSDF Digit-Serial Arithmetic on FPGA Low-latency online multiplier with reduced activities and mini- mized interconnect for inner product arrays,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T02:03:09.841448Z

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 26351347-0c27-457c-a1dc-7a47838704e2 · outbound

This paper cites DSLR-CNN: Efficient CNN acceleration using digit-serial left-to-right arithmetic,.

MINT: Dynamic-Precision CNN Inference with MSDF Digit-Serial Arithmetic on FPGA DSLR-CNN: Efficient CNN acceleration using digit-serial left-to-right arithmetic,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T02:03:09.833782Z

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 f0ec0934-b249-471c-866d-2e1ecc601cc8 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

MINT: Dynamic-Precision CNN Inference with MSDF Digit-Serial Arithmetic on FPGA Imagenet: A large-scale hierarchical image database

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T02:03:09.846197Z

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 d5aa148c-a16b-4674-ac0a-ca7d81e8c62c · outbound

This paper cites Opu: An fpga-based overlay processor for convolutional neural networks,.

MINT: Dynamic-Precision CNN Inference with MSDF Digit-Serial Arithmetic on FPGA Opu: An fpga-based overlay processor for convolutional neural networks,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T02:03:09.830015Z

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 581ed43e-4120-4437-82be-8633291a3ecc · outbound

This paper cites Caffeine: Towards uniformed representation and acceleration for deep convolutional neural networks,.

MINT: Dynamic-Precision CNN Inference with MSDF Digit-Serial Arithmetic on FPGA Caffeine: Towards uniformed representation and acceleration for deep convolutional neural networks,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T02:03:09.822764Z

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 1279f69a-213f-4187-8205-f207fa5ebb40 · outbound

This paper cites Fpga-based high-throughput cnn hardware accelerator with high computing resource utilization ratio,.

MINT: Dynamic-Precision CNN Inference with MSDF Digit-Serial Arithmetic on FPGA Fpga-based high-throughput cnn hardware accelerator with high computing resource utilization ratio,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T02:03:09.826436Z

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 5982e202-3b05-4212-bd5e-72caea1c2f1f · outbound

This paper cites Flexible and efficient convolutional acceleration on unified hardware using the two-stage splitting method and layer-adaptive allocation of 1-d/2-d winograd units,.

MINT: Dynamic-Precision CNN Inference with MSDF Digit-Serial Arithmetic on FPGA Flexible and efficient convolutional acceleration on unified hardware using the two-stage splitting method and layer-adaptive allocation of 1-d/2-d winograd units,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T02:03:09.822560Z

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 35582329-d396-415b-8ad5-e5e3d47388b5 · outbound

This paper cites Neuraghe: Exploiting cpu-fpga synergies for efficient and flexible cnn inference acceleration on zynq socs,.

MINT: Dynamic-Precision CNN Inference with MSDF Digit-Serial Arithmetic on FPGA Neuraghe: Exploiting cpu-fpga synergies for efficient and flexible cnn inference acceleration on zynq socs,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T02:03:09.861818Z

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 d37ad0be-cf5b-4d88-a1be-e8b0e6121ae3 · outbound

This paper cites An efficient and flexible accelerator design for sparse convolutional neural networks,.

MINT: Dynamic-Precision CNN Inference with MSDF Digit-Serial Arithmetic on FPGA An efficient and flexible accelerator design for sparse convolutional neural networks,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T02:03:09.841680Z

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 8131efb9-ac58-4158-bc23-eb63d160a3aa · outbound

This paper cites Echo: Energy-efficient computation harnessing online arithmetic—an msdf-based accelerator for dnn inference,.

MINT: Dynamic-Precision CNN Inference with MSDF Digit-Serial Arithmetic on FPGA Echo: Energy-efficient computation harnessing online arithmetic—an msdf-based accelerator for dnn inference,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T02:03:09.853891Z

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 51788b55-61f0-44a8-ad04-c020b4eb2651 · outbound

This paper cites Evaluating fast algorithms for convolutional neural networks on fpgas,.

MINT: Dynamic-Precision CNN Inference with MSDF Digit-Serial Arithmetic on FPGA Evaluating fast algorithms for convolutional neural networks on fpgas,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T02:03:09.818524Z

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.