Paper Citation Record · LEDGER

A Flexible Precision Scaling Deep Neural Network Accelerator with Efficient Weight Combination

As of 13 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2502.00687.

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

pith.paper-citation-record.v1
2502.00687 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T18:13:10.581383Z

measured 17 of 17 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

17 of 17 outbound references displayed

verified exact1
verified fuzzy12
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a87bcab2-9277-4fb8-815f-c45f5c5de698 · outbound

This paper cites Hawq: Hessian aware quantization of neural networks with mixed-precision,.

A Flexible Precision Scaling Deep Neural Network Accelerator with Efficient Weight Combination Hawq: Hessian aware quantization of neural networks with mixed-precision,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-09T18:13:10.528491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a024e85b-3620-44d7-b024-93a116cc13ad · outbound

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

A Flexible Precision Scaling Deep Neural Network Accelerator with Efficient Weight Combination Haq: Hardware-aware automated quantization with mixed precision,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:13:10.760070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 13547fd1-fb63-48e6-b9a9-b055e6f6d0cc · outbound

This paper cites Review and bench- marking of precision-scalable multiply-accumulate unit architectures for embedded neural-network processing,.

A Flexible Precision Scaling Deep Neural Network Accelerator with Efficient Weight Combination Review and bench- marking of precision-scalable multiply-accumulate unit architectures for embedded neural-network processing,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-09T18:13:10.535212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation adebd744-d4e9-47f3-ad68-c9ffd59f39d2 · outbound

This paper cites 14.5 en- vision: A 0.26-to-10tops/w subword-parallel dynamic-voltage-accuracy- frequency-scalable convolutional neural network processor in 28nm fdsoi,.

A Flexible Precision Scaling Deep Neural Network Accelerator with Efficient Weight Combination 14.5 en- vision: A 0.26-to-10tops/w subword-parallel dynamic-voltage-accuracy- frequency-scalable convolutional neural network processor in 28nm fdsoi,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:13:10.743664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2f7b94f7-9f96-46c0-bde3-708d10a45881 · outbound

This paper cites Bit fusion: Bit-level dynamically composable architecture for accelerating deep neural network,.

A Flexible Precision Scaling Deep Neural Network Accelerator with Efficient Weight Combination Bit fusion: Bit-level dynamically composable architecture for accelerating deep neural network,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:13:10.732712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bb863b74-a327-462d-8c6d-1c2ae380bf72 · outbound

This paper cites Bitblade: Energy-efficient variable bit-precision hardware accelerator for quantized neural networks,.

A Flexible Precision Scaling Deep Neural Network Accelerator with Efficient Weight Combination Bitblade: Energy-efficient variable bit-precision hardware accelerator for quantized neural networks,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:13:10.723073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3ad02fbd-80a7-488c-9d5e-11efe5848c14 · outbound

This paper cites A precision-scalable deep neural network accelerator with activation sparsity exploitation,.

A Flexible Precision Scaling Deep Neural Network Accelerator with Efficient Weight Combination A precision-scalable deep neural network accelerator with activation sparsity exploitation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:13:10.713518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8aa20688-d9d6-4814-9ef4-02c01ab7ab2c · outbound

This paper cites Stripes: Bit-serial deep neural network computing,.

A Flexible Precision Scaling Deep Neural Network Accelerator with Efficient Weight Combination Stripes: Bit-serial deep neural network computing,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:13:10.703705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d31f7dc0-b8ed-468c-852f-549c25f18475 · outbound

This paper cites Bit-pragmatic deep neural network computing,.

A Flexible Precision Scaling Deep Neural Network Accelerator with Efficient Weight Combination Bit-pragmatic deep neural network computing,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-09T18:13:10.555862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a357abc-452b-4713-8f01-0868cc8236d2 · outbound

This paper cites Loom: Exploiting weight and activation precisions to accelerate convolutional neural networks,.

A Flexible Precision Scaling Deep Neural Network Accelerator with Efficient Weight Combination Loom: Exploiting weight and activation precisions to accelerate convolutional neural networks,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:13:10.686307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 17210ea2-7ca3-4f4e-a8df-5bc4e65720fa · outbound

This paper cites Unpu: An energy-efficient deep neural network accelerator with fully variable weight bit precision,.

A Flexible Precision Scaling Deep Neural Network Accelerator with Efficient Weight Combination Unpu: An energy-efficient deep neural network accelerator with fully variable weight bit precision,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:13:10.675624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6f1a209e-ec4f-4e32-af67-51ed83315313 · outbound

This paper cites Bitsystolic: A 26.7 tops/w 2b˜ 8b npu with configurable data flows for edge devices,.

A Flexible Precision Scaling Deep Neural Network Accelerator with Efficient Weight Combination Bitsystolic: A 26.7 tops/w 2b˜ 8b npu with configurable data flows for edge devices,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:13:10.665281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4d109639-91ce-419f-afd6-bd783cd289ad · outbound

This paper cites 16.4 an 89tops/w and 16.3 tops/mm2 all-digital sram- based full-precision compute-in memory macro in 22nm for machine- learning edge applications,.

A Flexible Precision Scaling Deep Neural Network Accelerator with Efficient Weight Combination 16.4 an 89tops/w and 16.3 tops/mm2 all-digital sram- based full-precision compute-in memory macro in 22nm for machine- learning edge applications,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:13:10.655641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6fe12c24-80a6-4173-95d7-8cf129165e48 · outbound

This paper cites Ps-imc: A 2385.7 tops/w/b precision scalable in-memory computing macro with bit-parallel inputs and decomposable weights for dnns,.

A Flexible Precision Scaling Deep Neural Network Accelerator with Efficient Weight Combination Ps-imc: A 2385.7 tops/w/b precision scalable in-memory computing macro with bit-parallel inputs and decomposable weights for dnns,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:13:10.644962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation dc0824a7-1795-4895-9425-fe3f56633da4 · outbound

This paper cites SynDCIM: A Performance-Aware Digital Computing-in-Memory Compiler with Multi-Spec-Oriented Subcircuit Synthesis.

A Flexible Precision Scaling Deep Neural Network Accelerator with Efficient Weight Combination SynDCIM: A Performance-Aware Digital Computing-in-Memory Compiler with Multi-Spec-Oriented Subcircuit Synthesis

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-09T18:13:10.616170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation aaa33b00-4b5b-4803-8196-8252f4487ab0 · outbound

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

A Flexible Precision Scaling Deep Neural Network Accelerator with Efficient Weight Combination Mobilenetv2: Inverted residuals and linear bottlenecks,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-09T18:13:10.577623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 580e2fed-4df9-4756-8f7d-f5605e6e7fc0 · outbound

This paper cites An energy-efficient mixed-bitwidth systolic accelerator for nas-optimized deep neural networks,.

A Flexible Precision Scaling Deep Neural Network Accelerator with Efficient Weight Combination An energy-efficient mixed-bitwidth systolic accelerator for nas-optimized deep neural networks,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:13:10.626919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

No inbound Pith citation observations are available.