Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-08T13:22:57.365228Z
Paper Citation Record · LEDGER
Column-wise Quantization of Weights and Partial Sums for Accurate and Efficient Compute-In-Memory Accelerators
As of 13 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2502.07842.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
12 of 12 outbound references displayed
- verified exact0
- verified fuzzy11
- unresolved1
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation a76587a4-65a2-47e9-8202-1e540a2b4f2d · outbound
This paper cites ISAAC: A convolutional neural network accelerator with in-situ analog arithmetic in crossbars,.
Column-wise Quantization of Weights and Partial Sums for Accurate and Efficient Compute-In-Memory Accelerators ISAAC: A convolutional neural network accelerator with in-situ analog arithmetic in crossbars,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T13:22:57.558361Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 1ca7e39f-d12b-4076-81b7-e5e01e70d587 · outbound
This paper cites A configurable multi-precision CNN computing framework based on single bit RRAM,.
Column-wise Quantization of Weights and Partial Sums for Accurate and Efficient Compute-In-Memory Accelerators A configurable multi-precision CNN computing framework based on single bit RRAM,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T13:22:57.545677Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation b18a9879-5cf7-40c9-889c-bb3c36b5ba91 · outbound
This paper cites Deep residual learning for image recognition,.
Column-wise Quantization of Weights and Partial Sums for Accurate and Efficient Compute-In-Memory Accelerators Deep residual learning for image recognition,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T13:22:57.532821Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 6d8d33d2-28c7-4ea5-9e62-d20cdc26f894 · outbound
This paper cites Imagenet classification with deep convolutional neural networks,.
Column-wise Quantization of Weights and Partial Sums for Accurate and Efficient Compute-In-Memory Accelerators Imagenet classification with deep convolutional neural networks,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T13:22:57.519777Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation dd3ed031-39d6-4201-80b8-c4885308789b · outbound
This paper cites Extreme partial-sum quantization for analog computing-in-memory neural network accelerators,.
Column-wise Quantization of Weights and Partial Sums for Accurate and Efficient Compute-In-Memory Accelerators Extreme partial-sum quantization for analog computing-in-memory neural network accelerators,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T13:22:57.505934Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 8e58b603-62fb-4427-ae0a-4dc018423275 · outbound
This paper cites Partial sum quantiza- tion for computing-in-memory-based neural network accelerator,.
Column-wise Quantization of Weights and Partial Sums for Accurate and Efficient Compute-In-Memory Accelerators Partial sum quantiza- tion for computing-in-memory-based neural network accelerator,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T13:22:57.491879Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation f532cb15-af43-4ba6-9283-cc554d8e81ca · outbound
This paper cites CIMQ: A hardware-efficient quantization framework for computing-in-memory based neural network accelerators,.
Column-wise Quantization of Weights and Partial Sums for Accurate and Efficient Compute-In-Memory Accelerators CIMQ: A hardware-efficient quantization framework for computing-in-memory based neural network accelerators,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T13:22:57.476455Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 76d2239d-e0b0-452f-adfa-82361d30a496 · outbound
This paper cites Towards ADC-less compute-in- memory accelerators for energy efficient deep learning,.
Column-wise Quantization of Weights and Partial Sums for Accurate and Efficient Compute-In-Memory Accelerators Towards ADC-less compute-in- memory accelerators for energy efficient deep learning,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T13:22:57.461048Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 9099c89c-1d70-45ba-b732-77dfe225abc3 · outbound
This paper cites Partial-sum quantization for near ADC-less compute-in-memory accelerators,.
Column-wise Quantization of Weights and Partial Sums for Accurate and Efficient Compute-In-Memory Accelerators Partial-sum quantization for near ADC-less compute-in-memory accelerators,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T13:22:57.446816Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 891ebb32-4954-4976-9738-d3106c484bd7 · outbound
This paper cites Learned step size quantization,.
Column-wise Quantization of Weights and Partial Sums for Accurate and Efficient Compute-In-Memory Accelerators Learned step size quantization,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T13:22:57.432369Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 14a91f00-2732-400c-90c9-c9db5ab4680d · outbound
This paper cites Accurate inference with inaccurate RRAM devices: a joint algorithm- design solution,.
Column-wise Quantization of Weights and Partial Sums for Accurate and Efficient Compute-In-Memory Accelerators Accurate inference with inaccurate RRAM devices: a joint algorithm- design solution,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T13:22:57.417083Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 27523974-4ea5-4b32-b343-5785644b2cf5 · outbound
This paper cites A Survey of Quantization Methods for Efficient Neural Network Inference.
Column-wise Quantization of Weights and Partial Sums for Accurate and Efficient Compute-In-Memory Accelerators A Survey of Quantization Methods for Efficient Neural Network Inference
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T13:22:57.365228Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.