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Paper Citation Record · LEDGER

PIMCOMP: An End-to-End DNN Compiler for Processing-In-Memory Accelerators

As of 16 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2411.09159.

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

pith.paper-citation-record.v1
2411.09159 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:05:37.641858Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

38 of 38 outbound references displayed

  • verified exact0
  • verified fuzzy35
  • unresolved3
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4cefd3d5-9f54-49ba-a5b4-10140394c280 · outbound

This paper cites Eie: efficient inference engine on compressed deep neural network,.

PIMCOMP: An End-to-End DNN Compiler for Processing-In-Memory Accelerators Eie: efficient inference engine on compressed deep neural network,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f7d1ead2-ce25-4ab1-bc5d-af4b98c37a90 · outbound

This paper cites Dadiannao: A machine-learning supercomputer,.

PIMCOMP: An End-to-End DNN Compiler for Processing-In-Memory Accelerators Dadiannao: A machine-learning supercomputer,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 2ced39a5-b34e-4e59-8085-37d57b695799 · outbound

This paper cites Scaling the.

PIMCOMP: An End-to-End DNN Compiler for Processing-In-Memory Accelerators Scaling the

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 44fe6074-cf3e-44d9-ad71-431324ee4805 · outbound

This paper cites First demonstration of oxrram integration on 14nm finfet platform and scaling potential analysis towards sub-10nm node,.

PIMCOMP: An End-to-End DNN Compiler for Processing-In-Memory Accelerators First demonstration of oxrram integration on 14nm finfet platform and scaling potential analysis towards sub-10nm node,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T21:05:37.533401Z digest=sha256:1c0475e87dd3d98838aa65585100b77329671ea9f0335091d7b1f4709c7b9d71

Observation 84c18599-2110-48be-8c61-027ac83cf2f9 · outbound

This paper cites Isaac: a convolutional neural network accelerator with in-situ analog arithmetic in crossbars,.

PIMCOMP: An End-to-End DNN Compiler for Processing-In-Memory Accelerators Isaac: a convolutional neural network accelerator with in-situ analog arithmetic in crossbars,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation ba9d4cd6-ddba-4117-a46c-8ce0b9beb9b6 · outbound

This paper cites Prime: a novel processing-in-memory architecture for neural network computation in reram-based main memory,.

PIMCOMP: An End-to-End DNN Compiler for Processing-In-Memory Accelerators Prime: a novel processing-in-memory architecture for neural network computation in reram-based main memory,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b3e1a971-7d6f-40d7-bfb9-a8e72eb8f4e9 · outbound

This paper cites Pipelayer: A pipelined reram- based accelerator for deep learning,.

PIMCOMP: An End-to-End DNN Compiler for Processing-In-Memory Accelerators Pipelayer: A pipelined reram- based accelerator for deep learning,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T21:05:37.544242Z digest=sha256:6305fc36ba3b221b34f86eaf0a198d090c256e370c254e79885b060d6aa35a6e

Observation 79b78a84-6537-4ea5-8e94-6e8e5546cb34 · outbound

This paper cites Efficient fefet crossbar accelerator for binary neural networks,.

PIMCOMP: An End-to-End DNN Compiler for Processing-In-Memory Accelerators Efficient fefet crossbar accelerator for binary neural networks,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T21:05:37.547475Z digest=sha256:e8c360e3600d4803890b8cc923a51fc29a2411c38ed8cc2a7b57233a2c2c2cf6

Observation 5d781b21-2252-4a56-8654-2e4bbb5e5da1 · outbound

This paper cites A crossbar array of magnetoresistive memory devices for in-memory computing,.

PIMCOMP: An End-to-End DNN Compiler for Processing-In-Memory Accelerators A crossbar array of magnetoresistive memory devices for in-memory computing,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T21:05:37.550594Z digest=sha256:36f894e6ab3fca80f90ba4e4d2420c7513c7cba7a022f8f29c01f77f5641f91d

Observation 8a9600e1-2b37-4b80-9295-baefebf1d242 · outbound

This paper cites Enabling high-performance dnn inference accelerators using non-volatile analog memory,.

PIMCOMP: An End-to-End DNN Compiler for Processing-In-Memory Accelerators Enabling high-performance dnn inference accelerators using non-volatile analog memory,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation dd2251d3-9986-4c3c-8484-8e543ef46494 · outbound

This paper cites Memory devices and applications for in-memory computing,.

PIMCOMP: An End-to-End DNN Compiler for Processing-In-Memory Accelerators Memory devices and applications for in-memory computing,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation ee301bbf-d9a5-4793-bc4f-89fe9c5e5d87 · outbound

This paper cites Pimcomp: A universal compilation framework for crossbar-based pim dnn accelera- tors,.

PIMCOMP: An End-to-End DNN Compiler for Processing-In-Memory Accelerators Pimcomp: A universal compilation framework for crossbar-based pim dnn accelera- tors,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T21:05:37.561030Z digest=sha256:7c07d2a7e3ba6b88db1d58ae217f0124bad35781a25c325675378c97fff258cb

Observation 09aad278-3dc9-4791-bcbe-e068975f8901 · outbound

This paper cites TVM: An automated End-to-End optimizing compiler for deep learning,.

PIMCOMP: An End-to-End DNN Compiler for Processing-In-Memory Accelerators TVM: An automated End-to-End optimizing compiler for deep learning,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T21:05:37.564367Z digest=sha256:8cd60a1da25b4b793f3e3e6d8df54af386200bb39d914df1a9396ce7b3338feb

Observation 198adefe-95a2-4782-996b-57f3d21befbc · outbound

This paper cites End-to-end programmable computing systems,.

PIMCOMP: An End-to-End DNN Compiler for Processing-In-Memory Accelerators End-to-end programmable computing systems,

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T21:05:37.567410Z digest=sha256:7601732721fd704e788610909ded268253005b0fc5fd27c6f0b9e15fc4e9e445

Observation 5e72dee9-a904-4feb-ac78-af46e962f5e0 · outbound

This paper cites Plasticity-on-chip design: Ex- ploiting self-similarity for data communications,.

PIMCOMP: An End-to-End DNN Compiler for Processing-In-Memory Accelerators Plasticity-on-chip design: Ex- ploiting self-similarity for data communications,

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:05:37.570402Z digest=sha256:1137da2f8ae68a2ec3f5f6acfb22b051f82010f595ef69a7ba50887e86f094ce

Observation 0d3e4ade-19cf-4f48-b7da-d82a5d51f198 · outbound

This paper cites Polyhedral-based compilation framework for in-memory neural network accelerators,.

PIMCOMP: An End-to-End DNN Compiler for Processing-In-Memory Accelerators Polyhedral-based compilation framework for in-memory neural network accelerators,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 7b8a1bd7-d543-4fd4-9957-149034835701 · outbound

This paper cites Hardware- software co-design for an analog-digital accelerator for machine learn- ing,.

PIMCOMP: An End-to-End DNN Compiler for Processing-In-Memory Accelerators Hardware- software co-design for an analog-digital accelerator for machine learn- ing,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 6daacf5d-8299-43a3-afdc-1fcb60a51029 · outbound

This paper cites Songc: A compiler for hybrid near-memory and in-memory many-core architecture,.

PIMCOMP: An End-to-End DNN Compiler for Processing-In-Memory Accelerators Songc: A compiler for hybrid near-memory and in-memory many-core architecture,

Reference 18

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raw_fallback, observed 2026-08-12T21:05:37.873158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation e9fee820-9eeb-4399-a893-d98b11621d98 · outbound

This paper cites Tc-cim: Empowering tensor compre- hensions for computing-in-memory,.

PIMCOMP: An End-to-End DNN Compiler for Processing-In-Memory Accelerators Tc-cim: Empowering tensor compre- hensions for computing-in-memory,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 1ef52a71-066e-4e14-95d4-021ff7bc7dae · outbound

This paper cites Tdo-cim: Transparent detection and offloading for computation in-memory,.

PIMCOMP: An End-to-End DNN Compiler for Processing-In-Memory Accelerators Tdo-cim: Transparent detection and offloading for computation in-memory,

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 38435f35-80b8-48e7-90e8-996005d5d661 · outbound

This paper cites Occ: An automated end-to- end machine learning optimizing compiler for computing-in-memory,.

PIMCOMP: An End-to-End DNN Compiler for Processing-In-Memory Accelerators Occ: An automated end-to- end machine learning optimizing compiler for computing-in-memory,

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 7a450462-e13d-40ef-9a0b-0785182ff299 · outbound

This paper cites Puma: A programmable ultra-efficient memristor-based accelerator for machine learning inference,.

PIMCOMP: An End-to-End DNN Compiler for Processing-In-Memory Accelerators Puma: A programmable ultra-efficient memristor-based accelerator for machine learning inference,

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T21:05:37.591543Z digest=sha256:052ac9f5c2a77a06491923e7c8891ca6fbe8934d45c9f059f2bee2d21f2afc2e

Observation 6e334993-a965-4eef-9a95-8e0f77c0e0b4 · outbound

This paper cites CINM (Cinnamon): A Compilation Infrastructure for Heterogeneous Compute In-Memory and Compute Near-Memory Paradigms.

PIMCOMP: An End-to-End DNN Compiler for Processing-In-Memory Accelerators CINM (Cinnamon): A Compilation Infrastructure for Heterogeneous Compute In-Memory and Compute Near-Memory Paradigms

Reference 23

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no resolver link, observed 2026-08-12T21:05:37.594921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:05:37.594921Z digest=sha256:a2355b3df32809680320b295d584d6edb378ff0029486135bbd398e2dd74798e

Observation f3eb662c-ae40-4345-a164-6473a9796388 · outbound

This paper cites Mathematical framework for optimizing crossbar allocation for reram-based cnn accelerators,.

PIMCOMP: An End-to-End DNN Compiler for Processing-In-Memory Accelerators Mathematical framework for optimizing crossbar allocation for reram-based cnn accelerators,

Reference 24

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raw_fallback, observed 2026-08-12T21:05:37.819860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T21:05:37.598440Z digest=sha256:a3616e1ba86dd5578207f909da27c63d6d5eb6a3c0cd2e510367c682ac5ff998

Observation 42344277-3287-4610-b352-6218f6d6db1c · outbound

This paper cites Introduction to hardware abstraction layers for soc,.

PIMCOMP: An End-to-End DNN Compiler for Processing-In-Memory Accelerators Introduction to hardware abstraction layers for soc,

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T21:05:37.601464Z digest=sha256:2ed7b9a7716f0fc62915ec5709f451a2e63b9064440ede6f52af893e1b5fa3b9

Observation e813af4b-d32c-478f-917f-083c5b5ce4e4 · outbound

This paper cites Atomlayer: a universal reram-based cnn accelerator with atomic layer computation,.

PIMCOMP: An End-to-End DNN Compiler for Processing-In-Memory Accelerators Atomlayer: a universal reram-based cnn accelerator with atomic layer computation,

Reference 26

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raw_fallback, observed 2026-08-12T21:05:37.801059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T21:05:37.604462Z digest=sha256:a4599f73f8f73ee7ddd5e2812f4c263b5c580a3d512abfc89180a863c41d9ec5

Observation 90ae5931-c0c8-412c-b832-72deb556e388 · outbound

This paper cites Mnsim 2.0: A behavior-level modeling tool for processing-in-memory architectures,.

PIMCOMP: An End-to-End DNN Compiler for Processing-In-Memory Accelerators Mnsim 2.0: A behavior-level modeling tool for processing-in-memory architectures,

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T21:05:37.607514Z digest=sha256:e57aabd10050c014ed4578d527ea53b7a37e59f7315f7c78d64cc13c99ada662

Observation fa0237cd-f829-42ec-a6cb-2c1e67cd29f8 · outbound

This paper cites Cmq: Crossbar- aware neural network mixed-precision quantization via differentiable architecture search,.

PIMCOMP: An End-to-End DNN Compiler for Processing-In-Memory Accelerators Cmq: Crossbar- aware neural network mixed-precision quantization via differentiable architecture search,

Reference 28

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raw_fallback, observed 2026-08-12T21:05:37.782695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T21:05:37.611071Z digest=sha256:e6653b888b4d4eb74ba5bbb2764373e45f90f529e07cec749c6c333270eb20bc

Observation 48975056-edc8-4859-9c33-bc12a54a5d4d · outbound

This paper cites Mixed size crossbar based rram cnn accelerator with overlapped mapping method,.

PIMCOMP: An End-to-End DNN Compiler for Processing-In-Memory Accelerators Mixed size crossbar based rram cnn accelerator with overlapped mapping method,

Reference 29

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raw_fallback, observed 2026-08-12T21:05:37.773178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T21:05:37.614369Z digest=sha256:09cd48aa9c17eaceccc6fe582c07171b447d04579c96567607772bcb28804fdf

Observation 07a569f3-7df3-4b4d-af1c-1af8f1c10b3d · outbound

This paper cites Optimizing weight mapping and data flow for convolutional neural networks on rram based processing-in-memory architecture,.

PIMCOMP: An End-to-End DNN Compiler for Processing-In-Memory Accelerators Optimizing weight mapping and data flow for convolutional neural networks on rram based processing-in-memory architecture,

Reference 30

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raw_fallback, observed 2026-08-12T21:05:37.763130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T21:05:37.617545Z digest=sha256:86e0acd6108313b98bd3f3e7f5b75af5e8b8072ccc71f94bba623b5ba226bfd0

Observation da67b1d3-296b-4d01-baa7-1becffc8d05c · outbound

This paper cites A convolution neural network accelerator design with weight mapping and pipeline optimization,.

PIMCOMP: An End-to-End DNN Compiler for Processing-In-Memory Accelerators A convolution neural network accelerator design with weight mapping and pipeline optimization,

Reference 31

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raw_fallback, observed 2026-08-12T21:05:37.753097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T21:05:37.620450Z digest=sha256:34228ab686140181d61e51b5fa585671030e79bf621fc23930ab867bc04942a4

Observation 6d200b89-c7eb-4e18-8688-40d11e637b13 · outbound

This paper cites Benchmarking dnn mapping methods for the in-memory computing accelerators,.

PIMCOMP: An End-to-End DNN Compiler for Processing-In-Memory Accelerators Benchmarking dnn mapping methods for the in-memory computing accelerators,

Reference 32

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raw_fallback, observed 2026-08-12T21:05:37.742611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T21:05:37.623551Z digest=sha256:f67a9c21650d9237d3189bfc0f46720043b7a53ef1e227a9ef6d47fdcca48685

Observation fd4d35b7-4fd2-49b0-bb14-c1c0624bab4e · outbound

This paper cites A nonvolatile al-edge processor with 4mb slc-mlc hybrid-mode reram compute-in-memory macro and 51.4-251tops/w,.

PIMCOMP: An End-to-End DNN Compiler for Processing-In-Memory Accelerators A nonvolatile al-edge processor with 4mb slc-mlc hybrid-mode reram compute-in-memory macro and 51.4-251tops/w,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:05:37.731895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T21:05:37.626402Z digest=sha256:ff66537a3b03538958ccbca24d05bdcf99a1a7a24660d4a5f09fdfef5e7ee385

Observation a82d84d5-63e7-45f7-8f13-6642ed8d453e · outbound

This paper cites Cacti 7: New tools for interconnect exploration in innovative off-chip memories,.

PIMCOMP: An End-to-End DNN Compiler for Processing-In-Memory Accelerators Cacti 7: New tools for interconnect exploration in innovative off-chip memories,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:05:37.721226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T21:05:37.629342Z digest=sha256:6b9175010590736ee35c0961dc0696eb4c6cf54ef86c61be68d148f7f760154a

Observation 27e0b925-0ab1-4631-a10f-0b3efab8de40 · outbound

This paper cites Orion3.0: A comprehensive noc router estimation tool,.

PIMCOMP: An End-to-End DNN Compiler for Processing-In-Memory Accelerators Orion3.0: A comprehensive noc router estimation tool,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:05:37.710827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T21:05:37.632401Z digest=sha256:6f406dde4dc288de227ea634f826fc679d0c8be310be392ff1fe6d62ff5720de

Observation 7671b128-5a4e-4301-ae56-90c3f02ed0ab · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

PIMCOMP: An End-to-End DNN Compiler for Processing-In-Memory Accelerators Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-12T21:05:37.635327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:05:37.635327Z digest=sha256:efbfed04df2ca967c69eda2a1c65484fc628b559b919c97f3a61d91a146b1936

Observation 22cd5adc-e374-427e-9aae-ce81a7feb292 · outbound

This paper cites Deep residual learning for image recognition,.

PIMCOMP: An End-to-End DNN Compiler for Processing-In-Memory Accelerators Deep residual learning for image recognition,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:05:37.700241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T21:05:37.638842Z digest=sha256:641bcef0fd7656a4a54130b1546419fdb6725c292eeb1fefe88ebc799fa23fa3

Observation 3fd54a72-4e84-45eb-a8dd-68dd9d39ca2c · outbound

This paper cites Going deeper with convolutions,.

PIMCOMP: An End-to-End DNN Compiler for Processing-In-Memory Accelerators Going deeper with convolutions,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:05:37.689784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T21:05:37.641858Z digest=sha256:4096e697c2230f0c2883a95964c2634895135583348af127f683339ead036c45

Pith citing papers

No inbound Pith citation observations are available.