Paper Citation Record · LEDGER

Balancing FP8 Computation Accuracy and Efficiency on Digital CIM via Shift-Aware On-the-fly Aligned-Mantissa Bitwidth Prediction

As of 4 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2602.05743.

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

pith.paper-citation-record.v1
2602.05743 v2

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-21T13:50:18.114223Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+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

16 of 16 outbound references displayed

verified exact4
verified fuzzy12
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fc37464e-3a19-4bfc-94ee-d847ebe34c74 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Balancing FP8 Computation Accuracy and Efficiency on Digital CIM via Shift-Aware On-the-fly Aligned-Mantissa Bitwidth Prediction DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-21T13:54:11.576463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f51cb809-7b3e-458c-b35e-4d399fcaac7c · outbound

This paper cites Qwen3 Technical Report.

Balancing FP8 Computation Accuracy and Efficiency on Digital CIM via Shift-Aware On-the-fly Aligned-Mantissa Bitwidth Prediction Qwen3 Technical Report

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-21T13:54:11.579990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0f1a403d-5133-4c30-b425-c51916fa2144 · outbound

This paper cites Fp8 quantization: The power of the exponent.

Balancing FP8 Computation Accuracy and Efficiency on Digital CIM via Shift-Aware On-the-fly Aligned-Mantissa Bitwidth Prediction Fp8 quantization: The power of the exponent

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T13:54:12.364429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation addfe895-4f91-430a-a8e3-e23e68ff179e · outbound

This paper cites FP8 Formats for Deep Learning.

Balancing FP8 Computation Accuracy and Efficiency on Digital CIM via Shift-Aware On-the-fly Aligned-Mantissa Bitwidth Prediction FP8 Formats for Deep Learning

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-21T13:54:11.573176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 840403ef-3c6d-44b1-be9e-1310d738b204 · outbound

This paper cites Redcim: Reconfigurable digital computing-in- memory processor with unified fp/int pipeline for cloud ai acceleration.

Balancing FP8 Computation Accuracy and Efficiency on Digital CIM via Shift-Aware On-the-fly Aligned-Mantissa Bitwidth Prediction Redcim: Reconfigurable digital computing-in- memory processor with unified fp/int pipeline for cloud ai acceleration

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T13:54:12.366712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2df2f916-eede-4226-9a59-61fd1592bdd2 · outbound

This paper cites A 28nm 128tflops/w computing-in-memory engine supporting one-shot floating- point nn inference and on-device fine-tuning for edge ai.

Balancing FP8 Computation Accuracy and Efficiency on Digital CIM via Shift-Aware On-the-fly Aligned-Mantissa Bitwidth Prediction A 28nm 128tflops/w computing-in-memory engine supporting one-shot floating- point nn inference and on-device fine-tuning for edge ai

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T13:54:12.372690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 84566d4d-07a8-4eb8-9b77-c4b6bcfce43e · outbound

This paper cites 34.8 a 22nm 16mb floating-point reram compute-in- memory macro with 31.2 tflops/w for ai edge devices.

Balancing FP8 Computation Accuracy and Efficiency on Digital CIM via Shift-Aware On-the-fly Aligned-Mantissa Bitwidth Prediction 34.8 a 22nm 16mb floating-point reram compute-in- memory macro with 31.2 tflops/w for ai edge devices

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T13:54:12.375092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 50c94e35-44db-4320-b683-b277b0043a5e · outbound

This paper cites A 28-nm 64-kb 31.6-tflops/w digital-domain floating-point-computing-unit and double- bit 6t-sram computing-in-memory macro for floating-point cnns.

Balancing FP8 Computation Accuracy and Efficiency on Digital CIM via Shift-Aware On-the-fly Aligned-Mantissa Bitwidth Prediction A 28-nm 64-kb 31.6-tflops/w digital-domain floating-point-computing-unit and double- bit 6t-sram computing-in-memory macro for floating-point cnns

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T13:54:12.375302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5a299b54-4735-434a-b85a-40c0c5e11f0d · outbound

This paper cites A 28-nm floating-point computing-in-memory processor using intensive-cim sparse-digital architecture.

Balancing FP8 Computation Accuracy and Efficiency on Digital CIM via Shift-Aware On-the-fly Aligned-Mantissa Bitwidth Prediction A 28-nm floating-point computing-in-memory processor using intensive-cim sparse-digital architecture

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T13:54:12.369153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 07301f2b-70f3-412c-beed-4f5fcaa9d863 · outbound

This paper cites LLM-FP4: 4-Bit Floating-Point Quantized Transformers.

Balancing FP8 Computation Accuracy and Efficiency on Digital CIM via Shift-Aware On-the-fly Aligned-Mantissa Bitwidth Prediction LLM-FP4: 4-Bit Floating-Point Quantized Transformers

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-21T13:54:11.571256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7b9bcab1-38c9-43e9-9059-893ba5854baf · outbound

This paper cites A 1–8b reconfigurable digital sram compute-in-memory macro for processing neural networks.

Balancing FP8 Computation Accuracy and Efficiency on Digital CIM via Shift-Aware On-the-fly Aligned-Mantissa Bitwidth Prediction A 1–8b reconfigurable digital sram compute-in-memory macro for processing neural networks

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T13:54:12.370794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 54e18f5f-f966-46a0-b73f-e1e0350084fe · outbound

This paper cites 16.4 an 89tops/w and 16.3 tops/mm 2 all-digital sram-based full-precision compute-in memory macro in 22nm for machine-learning edge applications.

Balancing FP8 Computation Accuracy and Efficiency on Digital CIM via Shift-Aware On-the-fly Aligned-Mantissa Bitwidth Prediction 16.4 an 89tops/w and 16.3 tops/mm 2 all-digital sram-based full-precision compute-in memory macro in 22nm for machine-learning edge applications

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T13:54:12.377155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b3a233d5-4807-48fd-92d1-1e1df94431fa · outbound

This paper cites A flexible precision scaling deep neural network accelerator with efficient weight combination.

Balancing FP8 Computation Accuracy and Efficiency on Digital CIM via Shift-Aware On-the-fly Aligned-Mantissa Bitwidth Prediction A flexible precision scaling deep neural network accelerator with efficient weight combination

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T13:54:12.367141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0e56b2cb-f7f8-4b99-8149-b46f911806ad · outbound

This paper cites Syndcim: A performance-aware digital computing-in-memory compiler with multi- spec-oriented subcircuit synthesis.

Balancing FP8 Computation Accuracy and Efficiency on Digital CIM via Shift-Aware On-the-fly Aligned-Mantissa Bitwidth Prediction Syndcim: A performance-aware digital computing-in-memory compiler with multi- spec-oriented subcircuit synthesis

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T13:54:12.360341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e4973af6-07f2-48f7-9b95-0c1626affcf2 · outbound

This paper cites Fp-imc: A 28nm all-digital configurable floating-point in-memory computing macro.

Balancing FP8 Computation Accuracy and Efficiency on Digital CIM via Shift-Aware On-the-fly Aligned-Mantissa Bitwidth Prediction Fp-imc: A 28nm all-digital configurable floating-point in-memory computing macro

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T13:54:12.357945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 73992a7b-6e7f-49c7-8abb-1da7b6d88b44 · outbound

This paper cites Reconfigurable precision int4- 8/fp8 digital compute-in-memory macro for ai acceleration.

Balancing FP8 Computation Accuracy and Efficiency on Digital CIM via Shift-Aware On-the-fly Aligned-Mantissa Bitwidth Prediction Reconfigurable precision int4- 8/fp8 digital compute-in-memory macro for ai acceleration

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T13:54:12.360539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Pith citing papers

No inbound Pith citation observations are available.