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Paper Citation Record · LEDGER

ReCross: Efficient Embedding Reduction Scheme for In-Memory Computing using ReRAM-Based Crossbar

As of 5 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2509.10627.

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

pith.paper-citation-record.v1
2509.10627 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T17:48:51.254754Z

measured 36 of 36 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

36 of 36 outbound references displayed

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  • malformed identifier0
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External citation measurements

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Outbound references

Observation 00923033-f7de-4b64-a568-6c147f135d89 · outbound

This paper cites Deep neural networks for youtube recommendations,.

ReCross: Efficient Embedding Reduction Scheme for In-Memory Computing using ReRAM-Based Crossbar Deep neural networks for youtube recommendations,

Reference 1

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Observation e7220dec-bf6a-47cf-a2f1-1c21149eb77a · outbound

This paper cites Deep Learning Recommendation Model for Personalization and Recommendation Systems.

ReCross: Efficient Embedding Reduction Scheme for In-Memory Computing using ReRAM-Based Crossbar Deep Learning Recommendation Model for Personalization and Recommendation Systems

Reference 2

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Observation d7e78eec-bd18-4137-98dd-df2cccda708f · outbound

This paper cites Wide & deep learning for recommender systems,.

ReCross: Efficient Embedding Reduction Scheme for In-Memory Computing using ReRAM-Based Crossbar Wide & deep learning for recommender systems,

Reference 3

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Observation 3bf8aaf3-d550-4e33-bac5-bf6d3333e247 · outbound

This paper cites Flashembedding: storing embedding tables in ssd for large-scale recom- mender systems,.

ReCross: Efficient Embedding Reduction Scheme for In-Memory Computing using ReRAM-Based Crossbar Flashembedding: storing embedding tables in ssd for large-scale recom- mender systems,

Reference 4

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Observation cdabd13f-2ebd-4e9e-be9a-3faf9527e835 · outbound

This paper cites Deeprecsys: A system for optimizing end-to-end at-scale neural recommendation inference,.

ReCross: Efficient Embedding Reduction Scheme for In-Memory Computing using ReRAM-Based Crossbar Deeprecsys: A system for optimizing end-to-end at-scale neural recommendation inference,

Reference 5

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Observation 03d27c1a-f69d-4658-a233-f0fde56004cc · outbound

This paper cites The architectural implications of facebook’s dnn-based personalized recommendation,.

ReCross: Efficient Embedding Reduction Scheme for In-Memory Computing using ReRAM-Based Crossbar The architectural implications of facebook’s dnn-based personalized recommendation,

Reference 6

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Observation 27166b01-5edf-4ab6-b849-659196d43013 · outbound

This paper cites Understanding capacity-driven scale-out neural rec- ommendation inference,.

ReCross: Efficient Embedding Reduction Scheme for In-Memory Computing using ReRAM-Based Crossbar Understanding capacity-driven scale-out neural rec- ommendation inference,

Reference 7

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source=pdf_text observed=2026-08-04T17:48:48.105247Z digest=sha256:3da44cf1f9a62c0c38713656ce5420e7ffb6285a8ad77b2be27129a2412f7b27

Observation 6ed7702e-13fb-498f-b16b-17f65be5ca08 · outbound

This paper cites Recnmp: Ac- celerating personalized recommendation with near-memory processing,.

ReCross: Efficient Embedding Reduction Scheme for In-Memory Computing using ReRAM-Based Crossbar Recnmp: Ac- celerating personalized recommendation with near-memory processing,

Reference 8

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Observation 784bf205-1751-408b-9f17-4eb737eabcfe · outbound

This paper cites Merci: efficient embedding reduction on commodity hardware via sub-query memoization,.

ReCross: Efficient Embedding Reduction Scheme for In-Memory Computing using ReRAM-Based Crossbar Merci: efficient embedding reduction on commodity hardware via sub-query memoization,

Reference 9

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Observation a27dfb23-8069-423b-b507-1fcdec63b4ac · outbound

This paper cites The architectural implications of facebook’s dnn-based personalized recommendation,.

ReCross: Efficient Embedding Reduction Scheme for In-Memory Computing using ReRAM-Based Crossbar The architectural implications of facebook’s dnn-based personalized recommendation,

Reference 10

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source=pdf_text observed=2026-08-04T17:48:48.441147Z digest=sha256:3069a7031d6cd6c65308ddf7d1aa0cd8a75e2f6d61cbed8e33ac81892ac1c4ba

Observation eb5a2690-7d17-4d2e-8576-9855f24d01d0 · outbound

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

ReCross: Efficient Embedding Reduction Scheme for In-Memory Computing using ReRAM-Based Crossbar Memory devices and applications for in-memory computing,

Reference 11

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Observation e2a1f13c-993f-4abc-92a9-60186805ba03 · outbound

This paper cites In-memory computing: Advances and prospects,.

ReCross: Efficient Embedding Reduction Scheme for In-Memory Computing using ReRAM-Based Crossbar In-memory computing: Advances and prospects,

Reference 12

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source=pdf_text observed=2026-08-04T17:48:48.641718Z digest=sha256:6e17508d98e9084d5b377caa714fd7ca6b7ebf3456c9c0fe088bfe9212d0ec07

Observation 082123b7-5ce3-4e60-8a3a-7c8951199661 · outbound

This paper cites Metal–oxide rram,.

ReCross: Efficient Embedding Reduction Scheme for In-Memory Computing using ReRAM-Based Crossbar Metal–oxide rram,

Reference 13

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source=pdf_text observed=2026-08-04T17:48:48.753672Z digest=sha256:d73970bec4aa22cbe6f6db03973b432593be9f64651b49d813099352075e47be

Observation 612a79e9-1ec4-4a5a-8c84-29879415e403 · outbound

This paper cites A functional hybrid memristor crossbar- array/cmos system for data storage and neuromorphic applications,.

ReCross: Efficient Embedding Reduction Scheme for In-Memory Computing using ReRAM-Based Crossbar A functional hybrid memristor crossbar- array/cmos system for data storage and neuromorphic applications,

Reference 14

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source=pdf_text observed=2026-08-04T17:48:48.897730Z digest=sha256:e5d922325295752b3b7efbb76ff0d20be4aa0d815d9da346e853daa0fb422a6a

Observation 2229f274-2280-453b-b23a-559298492999 · outbound

This paper cites A digital neuromorphic vlsi architecture with memristor crossbar synaptic array for machine learning,.

ReCross: Efficient Embedding Reduction Scheme for In-Memory Computing using ReRAM-Based Crossbar A digital neuromorphic vlsi architecture with memristor crossbar synaptic array for machine learning,

Reference 15

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source=pdf_text observed=2026-08-04T17:48:49.032132Z digest=sha256:a503525c55509e2914ddc28bf02173687df3cf9957be84200c1eaa72767d59c4

Observation b868bb1b-11bf-4eaf-ae37-782e2c5d9815 · outbound

This paper cites In-memory computing with resistive switching devices,.

ReCross: Efficient Embedding Reduction Scheme for In-Memory Computing using ReRAM-Based Crossbar In-memory computing with resistive switching devices,

Reference 16

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source=pdf_text observed=2026-08-04T17:48:49.130118Z digest=sha256:ac7ed8cc4c8e9f2a2fd5cc51a787d7b3e2309c336eacf42a55eed101d5a29c3f

Observation f16027b9-219c-4df3-9c14-a0e7edc353a6 · outbound

This paper cites Reno: A high-efficient reconfigurable neu- romorphic computing accelerator design,.

ReCross: Efficient Embedding Reduction Scheme for In-Memory Computing using ReRAM-Based Crossbar Reno: A high-efficient reconfigurable neu- romorphic computing accelerator design,

Reference 17

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Observation 4deb1283-8b95-4937-ae05-b682a49193aa · outbound

This paper cites Training and operation of an integrated neuromorphic network based on metal-oxide memristors,.

ReCross: Efficient Embedding Reduction Scheme for In-Memory Computing using ReRAM-Based Crossbar Training and operation of an integrated neuromorphic network based on metal-oxide memristors,

Reference 18

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Observation 99753946-d349-4d5f-99b1-0753943cb8c3 · outbound

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

ReCross: Efficient Embedding Reduction Scheme for In-Memory Computing using ReRAM-Based Crossbar Prime: A novel processing-in-memory architecture for neural network computation in reram-based main memory,

Reference 19

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source=pdf_text observed=2026-08-04T17:48:49.322113Z digest=sha256:f857d60ffbb97d5eeeb8fff0fb8592b223af58e3dad456cc665dab27d7ef7344

Observation 0db09572-3ae0-43f5-88f9-d5e3cdc10283 · outbound

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

ReCross: Efficient Embedding Reduction Scheme for In-Memory Computing using ReRAM-Based Crossbar Isaac: A convolutional neural network accelerator with in-situ analog arithmetic in crossbars,

Reference 20

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Observation 669768dd-e40b-441b-b0c2-df848a07e4fa · outbound

This paper cites Memory leads the way to better computing,.

ReCross: Efficient Embedding Reduction Scheme for In-Memory Computing using ReRAM-Based Crossbar Memory leads the way to better computing,

Reference 21

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Observation 9b30fc58-b3a8-41bd-b032-352b1ca4b5ed · outbound

This paper cites Rerec: In-reram acceleration with access-aware mapping for personalized recommendation,.

ReCross: Efficient Embedding Reduction Scheme for In-Memory Computing using ReRAM-Based Crossbar Rerec: In-reram acceleration with access-aware mapping for personalized recommendation,

Reference 22

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Observation 3a823b0b-5abe-4b22-adfd-289d716a8953 · outbound

This paper cites imars: an in-memory-computing architecture for recommendation systems,.

ReCross: Efficient Embedding Reduction Scheme for In-Memory Computing using ReRAM-Based Crossbar imars: an in-memory-computing architecture for recommendation systems,

Reference 23

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source=pdf_text observed=2026-08-04T17:48:49.769296Z digest=sha256:cb9dce5bea0b32b70dcda4d1f736eb214575573d5ef34a19eba32448f016aea3

Observation ed518895-45c2-4d94-8d33-1f6faaa65f00 · outbound

This paper cites Accelerating recommendation systems with in-memory embedding operations,.

ReCross: Efficient Embedding Reduction Scheme for In-Memory Computing using ReRAM-Based Crossbar Accelerating recommendation systems with in-memory embedding operations,

Reference 24

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source=pdf_text observed=2026-08-04T17:48:49.877536Z digest=sha256:5f6367c863da814acc09202cdeb19899aff8f109bd38bae555c0d4179d024280

Observation 43e5f3fd-5ed6-4a34-b9a3-c0e47f7b0785 · outbound

This paper cites A survey of recommendation systems: recommendation models, techniques, and application fields,.

ReCross: Efficient Embedding Reduction Scheme for In-Memory Computing using ReRAM-Based Crossbar A survey of recommendation systems: recommendation models, techniques, and application fields,

Reference 25

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source=pdf_text observed=2026-08-04T17:48:49.998479Z digest=sha256:853bd90a1217957dd269c9e27c7094d1be0da24b36dcb6a792560c21fb008a61

Observation c2443f37-8a15-40f3-9b52-51d848706eda · outbound

This paper cites RecSSD: Near Data Processing for Solid State Drive Based Recommendation Inference.

ReCross: Efficient Embedding Reduction Scheme for In-Memory Computing using ReRAM-Based Crossbar RecSSD: Near Data Processing for Solid State Drive Based Recommendation Inference

Reference 26

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source=pdf_text observed=2026-08-04T17:48:50.136403Z digest=sha256:a2ea6ca197e4d8e30cf83d06c09ed4ae81b8ca7ab6fd0ae9b9ee93e8a1f1bd00

Observation 2e1676ec-e7d9-4221-9e59-adc2b3868678 · outbound

This paper cites Dnn+neurosim: An end- to-end benchmarking framework for compute-in-memory accelerators with versatile device technologies,.

ReCross: Efficient Embedding Reduction Scheme for In-Memory Computing using ReRAM-Based Crossbar Dnn+neurosim: An end- to-end benchmarking framework for compute-in-memory accelerators with versatile device technologies,

Reference 27

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source=pdf_text observed=2026-08-04T17:48:50.296894Z digest=sha256:e5c860045ea3eebeba16302ea5202e37e4d4148b0ee799d27fab8eac528a5e9f

Observation ed13fb3b-6bc1-4232-97f3-616d78a0fe96 · outbound

This paper cites Amazon [online],.

ReCross: Efficient Embedding Reduction Scheme for In-Memory Computing using ReRAM-Based Crossbar Amazon [online],

Reference 28

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source=pdf_text observed=2026-08-04T17:48:50.406365Z digest=sha256:2989909e6c5acdbb09f0df2b7ff6d54f0153a186bc324bcda74739c2fb6bdefa

Observation 2300a8b6-17bd-41e2-b093-86de7ce9a42c · outbound

This paper cites Justifying recommendations using distantly-labeled reviews and fine-grained aspects,.

ReCross: Efficient Embedding Reduction Scheme for In-Memory Computing using ReRAM-Based Crossbar Justifying recommendations using distantly-labeled reviews and fine-grained aspects,

Reference 29

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Observation 7d4fa2d7-2164-4ee2-9a14-85626c0f7efb · outbound

This paper cites The flash adc [a circuit for all seasons],.

ReCross: Efficient Embedding Reduction Scheme for In-Memory Computing using ReRAM-Based Crossbar The flash adc [a circuit for all seasons],

Reference 30

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source=pdf_text observed=2026-08-04T17:48:50.542015Z digest=sha256:002c610334b5f9a227b1872f815a2f63fe91f65e5c8c3c9c2fa5642ef2d2589a

Observation 5545171b-b21a-4758-a105-c555038bf1bc · outbound

This paper cites Analog-to-digital converter survey and analysis,.

ReCross: Efficient Embedding Reduction Scheme for In-Memory Computing using ReRAM-Based Crossbar Analog-to-digital converter survey and analysis,

Reference 31

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Observation 73f73c36-6e25-4be5-9b8b-ce419c156737 · outbound

This paper cites A system-level exploration of binary neural network accelerators with monolithic 3d based compute- in-memory sram,.

ReCross: Efficient Embedding Reduction Scheme for In-Memory Computing using ReRAM-Based Crossbar A system-level exploration of binary neural network accelerators with monolithic 3d based compute- in-memory sram,

Reference 32

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source=pdf_text observed=2026-08-04T17:48:50.757468Z digest=sha256:25acaa3adea79fee17ea879a999ca56101df0eb65366a42771b67be45f367f73

Observation 8c19dbe9-f7a8-42b7-acaa-2bc3e1e55b20 · outbound

This paper cites A compute-in-memory chip based on resistive random-access memory,.

ReCross: Efficient Embedding Reduction Scheme for In-Memory Computing using ReRAM-Based Crossbar A compute-in-memory chip based on resistive random-access memory,

Reference 33

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source=pdf_text observed=2026-08-04T17:48:50.836194Z digest=sha256:b8499b8c82e6133fac4c6b1297770a1c2e8eb5db5bb180ec4f0561a4e39c37b5

Observation dcfe5ca3-96a4-41d5-9946-0f957ecc0b9f · outbound

This paper cites Nvidia management library (nvml).

ReCross: Efficient Embedding Reduction Scheme for In-Memory Computing using ReRAM-Based Crossbar Nvidia management library (nvml)

Reference 34

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source=pdf_text observed=2026-08-04T17:48:50.944482Z digest=sha256:24c455089b292ac7786f85bcb800bcf5b9bdace3f8b31832d348e7ffd2d886bf

Observation 630c905f-6940-4787-a6cc-00956c1695bc · outbound

This paper cites Grace: A scalable graph-based approach to accelerating recommendation model inference,.

ReCross: Efficient Embedding Reduction Scheme for In-Memory Computing using ReRAM-Based Crossbar Grace: A scalable graph-based approach to accelerating recommendation model inference,

Reference 35

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source=pdf_text observed=2026-08-04T17:48:51.089096Z digest=sha256:a69d782b6b11a23a7ebca446de3062b4fc815fa2ad3e784c31ee1f962fc5b76e

Observation 93bfee2e-21a3-4596-a2f8-4e5460f1efa3 · outbound

This paper cites Tensordimm: A practical near-memory processing architecture for embeddings and tensor operations in deep learning,.

ReCross: Efficient Embedding Reduction Scheme for In-Memory Computing using ReRAM-Based Crossbar Tensordimm: A practical near-memory processing architecture for embeddings and tensor operations in deep learning,

Reference 36

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