Paper Citation Record · LEDGER

FF-INT8: Efficient Forward-Forward DNN Training on Edge Devices with INT8 Precision

As of 16 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2506.22771.

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

pith.paper-citation-record.v1
2506.22771 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:05:01.887836Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

19 of 19 outbound references displayed

verified exact0
verified fuzzy11
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c2d9f7db-2ad9-4d91-9e40-527abd79aa16 · outbound

This paper cites Compute trends across three eras of machine learning,.

FF-INT8: Efficient Forward-Forward DNN Training on Edge Devices with INT8 Precision Compute trends across three eras of machine learning,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:05:04.954533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2e2d4846-acc0-425c-999c-4bf03942400a · outbound

This paper cites Imagenet training in minutes,.

FF-INT8: Efficient Forward-Forward DNN Training on Edge Devices with INT8 Precision Imagenet training in minutes,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:05:04.785459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1c2813f1-5004-43d8-81e6-6249fb87f8aa · outbound

This paper cites Training language models to follow instructions with human feedback,.

FF-INT8: Efficient Forward-Forward DNN Training on Edge Devices with INT8 Precision Training language models to follow instructions with human feedback,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T22:05:00.171003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5978c431-2947-46c1-86cf-10771c5d85d7 · outbound

This paper cites A comprehensive survey on tinyml,.

FF-INT8: Efficient Forward-Forward DNN Training on Edge Devices with INT8 Precision A comprehensive survey on tinyml,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:05:04.660063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e283a2a6-bd85-4e3e-a4ea-59db22cc0d83 · outbound

This paper cites Wenet: Configurable neural network with dynamic weight-enabling for efficient inference,.

FF-INT8: Efficient Forward-Forward DNN Training on Edge Devices with INT8 Precision Wenet: Configurable neural network with dynamic weight-enabling for efficient inference,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:05:04.484567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation cc5d3215-d258-4624-aef6-493352a854b6 · outbound

This paper cites A survey of quantization methods for efficient neural network infer- ence,.

FF-INT8: Efficient Forward-Forward DNN Training on Edge Devices with INT8 Precision A survey of quantization methods for efficient neural network infer- ence,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T22:05:00.607517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b630089e-fc2c-4c3e-9c54-965e08c50043 · outbound

This paper cites The Forward-Forward Algorithm: Some Preliminary Investigations.

FF-INT8: Efficient Forward-Forward DNN Training on Edge Devices with INT8 Precision The Forward-Forward Algorithm: Some Preliminary Investigations

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T22:05:00.714991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4d29269-5225-4995-99a9-5ac34829ee58 · outbound

This paper cites Ptqd: Accurate post-training quantization for diffusion models,.

FF-INT8: Efficient Forward-Forward DNN Training on Edge Devices with INT8 Precision Ptqd: Accurate post-training quantization for diffusion models,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T22:05:00.757191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15a54f2c-16b1-41e6-8d56-d8411cb0232d · outbound

This paper cites Quantization and training of neural networks for efficient integer-arithmetic-only inference,.

FF-INT8: Efficient Forward-Forward DNN Training on Edge Devices with INT8 Precision Quantization and training of neural networks for efficient integer-arithmetic-only inference,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T22:05:00.861177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31abfc42-fc42-4770-89dd-fa15e3afee2f · outbound

This paper cites Make repvgg greater again: A quantization-aware approach,.

FF-INT8: Efficient Forward-Forward DNN Training on Edge Devices with INT8 Precision Make repvgg greater again: A quantization-aware approach,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:05:04.204835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1170c9a0-8edc-4c66-9555-8151485e2c6f · outbound

This paper cites Mixed precision training,.

FF-INT8: Efficient Forward-Forward DNN Training on Edge Devices with INT8 Precision Mixed precision training,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:05:03.956735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8e7c7906-6d06-409e-a5e7-3f598f741149 · outbound

This paper cites A block mini- float representation for training deep neural networks,.

FF-INT8: Efficient Forward-Forward DNN Training on Edge Devices with INT8 Precision A block mini- float representation for training deep neural networks,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:05:03.760618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6b70becc-2218-49a6-9294-ed5cf2a6365d · outbound

This paper cites Towards unified int8 training for convolutional neural network,.

FF-INT8: Efficient Forward-Forward DNN Training on Edge Devices with INT8 Precision Towards unified int8 training for convolutional neural network,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:05:03.422967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d56973c4-37a0-415f-bb46-95124c003094 · outbound

This paper cites Distri- bution adaptive int8 quantization for training cnns,.

FF-INT8: Efficient Forward-Forward DNN Training on Edge Devices with INT8 Precision Distri- bution adaptive int8 quantization for training cnns,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:05:03.085050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c68ed10c-48c7-4b20-bae3-ef0f06323c99 · outbound

This paper cites Gradient distribution-aware int8 training for neural networks,.

FF-INT8: Efficient Forward-Forward DNN Training on Edge Devices with INT8 Precision Gradient distribution-aware int8 training for neural networks,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:05:02.531505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d020df79-5c47-4077-8e4f-2d92e15007b2 · outbound

This paper cites Deep learning with limited numerical precision,.

FF-INT8: Efficient Forward-Forward DNN Training on Edge Devices with INT8 Precision Deep learning with limited numerical precision,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:05:02.271050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f33e32a2-88e2-42db-b4b7-64929e7f528c · outbound

This paper cites Deep residual learning for image recognition,.

FF-INT8: Efficient Forward-Forward DNN Training on Edge Devices with INT8 Precision Deep residual learning for image recognition,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T22:05:01.640006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7f15ccb-6412-47a7-aca3-e9de62db124b · outbound

This paper cites Mobilenetv2: Inverted residuals and linear bottlenecks,.

FF-INT8: Efficient Forward-Forward DNN Training on Edge Devices with INT8 Precision Mobilenetv2: Inverted residuals and linear bottlenecks,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T22:05:01.740786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 415c7e60-f2b0-47bd-9cdf-d5a8d341dc93 · outbound

This paper cites Efficientnet: Rethinking model scaling for con- volutional neural networks,.

FF-INT8: Efficient Forward-Forward DNN Training on Edge Devices with INT8 Precision Efficientnet: Rethinking model scaling for con- volutional neural networks,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T22:05:01.887836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.