Paper Citation Record · LEDGER

NIFA: Nonlinear IMC enhanced FPGA for efficient ML inference

As of 12 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2607.15123.

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

pith.paper-citation-record.v1
2607.15123 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T00:08:40.099905Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

23 of 23 outbound references displayed

verified exact0
verified fuzzy0
unresolved23
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malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 391e5073-7774-4ed9-9555-f68c29943a8c · outbound

This paper cites Tensor slices to the rescue: Supercharging ML acceleration on FPGAs,.

NIFA: Nonlinear IMC enhanced FPGA for efficient ML inference Tensor slices to the rescue: Supercharging ML acceleration on FPGAs,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T00:08:36.971805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c7c9cd2-826e-4868-bbf5-88b92c2c4da4 · outbound

This paper cites Systolic sparse tensor slices: FPGA building blocks for sparse and dense AI acceleration,.

NIFA: Nonlinear IMC enhanced FPGA for efficient ML inference Systolic sparse tensor slices: FPGA building blocks for sparse and dense AI acceleration,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T00:08:37.108060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac5c2df1-40b4-466e-ab7a-c84307b15914 · outbound

This paper cites Stratix 10 NX architecture,.

NIFA: Nonlinear IMC enhanced FPGA for efficient ML inference Stratix 10 NX architecture,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T00:08:37.245527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0d3437e-3dcf-4a98-a003-52330f6e3331 · outbound

This paper cites CoMeFa: Compute-in-memory blocks for FPGAs,.

NIFA: Nonlinear IMC enhanced FPGA for efficient ML inference CoMeFa: Compute-in-memory blocks for FPGAs,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T00:08:37.357292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52e347ac-97ca-4981-81a5-ae62a243bb19 · outbound

This paper cites BRAMAC: Compute-in-BRAM archi- tectures for multiply-accumulate on FPGAs,.

NIFA: Nonlinear IMC enhanced FPGA for efficient ML inference BRAMAC: Compute-in-BRAM archi- tectures for multiply-accumulate on FPGAs,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T00:08:37.486746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19366a14-0900-472a-8aec-da77862ad318 · outbound

This paper cites M4BRAM: Mixed-precision matrix-matrix multiplication in FPGA block RAMs,.

NIFA: Nonlinear IMC enhanced FPGA for efficient ML inference M4BRAM: Mixed-precision matrix-matrix multiplication in FPGA block RAMs,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T00:08:37.613394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55d4dde0-d117-4703-917d-bbba7d46350f · outbound

This paper cites Compute-capable block RAMs for efficient deep learning acceleration on FPGAs,.

NIFA: Nonlinear IMC enhanced FPGA for efficient ML inference Compute-capable block RAMs for efficient deep learning acceleration on FPGAs,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T00:08:37.784870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 291b9f78-af58-4735-807e-fe77524101b9 · outbound

This paper cites Azure-lily: An FPGA architecture with analog IMC engines for efficient AI,.

NIFA: Nonlinear IMC enhanced FPGA for efficient ML inference Azure-lily: An FPGA architecture with analog IMC engines for efficient AI,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T00:08:37.908392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28c621d4-e885-4937-b4b4-81556702c0d7 · outbound

This paper cites Analog in- memory computing enhanced FPGA for high-throughput and energy- efficient acceleration,.

NIFA: Nonlinear IMC enhanced FPGA for efficient ML inference Analog in- memory computing enhanced FPGA for high-throughput and energy- efficient acceleration,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T00:08:38.070647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c94a9bb-b561-4566-9399-fb44a32e0c37 · outbound

This paper cites Analog computing: from fundamentals to applications,.

NIFA: Nonlinear IMC enhanced FPGA for efficient ML inference Analog computing: from fundamentals to applications,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T00:08:38.211090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c99f5d61-158f-4c26-8901-49e99d0ce936 · outbound

This paper cites PRIME: A novel processing-in-memory architecture for neural network computation in ReRAM-based main memory,.

NIFA: Nonlinear IMC enhanced FPGA for efficient ML inference PRIME: A novel processing-in-memory architecture for neural network computation in ReRAM-based main memory,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T00:08:38.326391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca441563-d9f4-4f35-9bd8-501ef3e82ed9 · outbound

This paper cites Attention is all you need,.

NIFA: Nonlinear IMC enhanced FPGA for efficient ML inference Attention is all you need,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T00:08:38.434761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d60d077e-e19a-4bf8-871b-3b5561aac372 · outbound

This paper cites NL-DPE: An analog in-memory non- linear dot product engine for efficient CNN and LLM inference,.

NIFA: Nonlinear IMC enhanced FPGA for efficient ML inference NL-DPE: An analog in-memory non- linear dot product engine for efficient CNN and LLM inference,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T00:08:38.606770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74ca4584-b49d-4260-b927-d9a12d5b5c49 · outbound

This paper cites RACE-IT: A reconfigurable analog computing engine for in-memory transformer acceleration,.

NIFA: Nonlinear IMC enhanced FPGA for efficient ML inference RACE-IT: A reconfigurable analog computing engine for in-memory transformer acceleration,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T00:08:38.757868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00dd7f9f-01a9-46f7-b559-d60744204ef7 · outbound

This paper cites Hamamu: Specializing FPGAs for ML applications by adding hard matrix multiplier blocks,.

NIFA: Nonlinear IMC enhanced FPGA for efficient ML inference Hamamu: Specializing FPGAs for ML applications by adding hard matrix multiplier blocks,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T00:08:38.909728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 536d64f1-0870-4a00-8efd-f2bb1abc8497 · outbound

This paper cites Experimentally-validated crossbar model for defect-aware training of neural networks,.

NIFA: Nonlinear IMC enhanced FPGA for efficient ML inference Experimentally-validated crossbar model for defect-aware training of neural networks,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T00:08:39.021079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac732ed4-aabe-4e95-a03f-191f02576867 · outbound

This paper cites Noise aware finetuning for analog non-linear dot product engine,.

NIFA: Nonlinear IMC enhanced FPGA for efficient ML inference Noise aware finetuning for analog non-linear dot product engine,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T00:08:39.213276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8f189d7-8b1f-41cf-a35e-339bd3cb8ee7 · outbound

This paper cites FlexScore: Quantifying flexibility,.

NIFA: Nonlinear IMC enhanced FPGA for efficient ML inference FlexScore: Quantifying flexibility,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T00:08:39.361908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ed2cb58-fecd-4290-bd71-4aac95c5fea8 · outbound

This paper cites A configurable cloud-scale DNN processor for real-time AI,.

NIFA: Nonlinear IMC enhanced FPGA for efficient ML inference A configurable cloud-scale DNN processor for real-time AI,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T00:08:39.472559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7045df7-26cf-4d34-9256-ddc4f3aefd6a · outbound

This paper cites VTR 9: Open-source CAD for fabric and beyond FPGA architecture exploration,.

NIFA: Nonlinear IMC enhanced FPGA for efficient ML inference VTR 9: Open-source CAD for fabric and beyond FPGA architecture exploration,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T00:08:39.614687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68992e2a-6d71-4fee-9837-816715d5e0da · outbound

This paper cites CoMeFa: Deploy- ing Compute-in-Memory on FPGAs for Deep Learning Acceleration,.

NIFA: Nonlinear IMC enhanced FPGA for efficient ML inference CoMeFa: Deploy- ing Compute-in-Memory on FPGAs for Deep Learning Acceleration,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T00:08:39.766926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fde1d4f3-aab8-41e6-9a04-ae727f2ecdfa · outbound

This paper cites Koios: A deep learning benchmark suite for FPGA architecture and CAD re- search,.

NIFA: Nonlinear IMC enhanced FPGA for efficient ML inference Koios: A deep learning benchmark suite for FPGA architecture and CAD re- search,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T00:08:39.939648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e152729-fdbb-41f0-9f27-cdf203981e95 · outbound

This paper cites Scaling equations for the accurate prediction of CMOS device performance from 180nm to 7nm,.

NIFA: Nonlinear IMC enhanced FPGA for efficient ML inference Scaling equations for the accurate prediction of CMOS device performance from 180nm to 7nm,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T00:08:40.099905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.