Paper Citation Record · LEDGER

Leveraging Recurrent Patterns in Graph Accelerators

As of 9 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2512.01193.

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

pith.paper-citation-record.v1
2512.01193 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T19:22:44.229485Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

34 of 34 outbound references displayed

verified exact5
verified fuzzy0
unresolved28
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a7065ba4-d8e2-4c55-84a2-c838c51e6832 · outbound

This paper cites Overall, our design is three orders of magnitude more energy efficient than GraphR and achieves 7.23× and 2.3× energy efficiency compared to SparseMEM and TARe, respectively.

Leveraging Recurrent Patterns in Graph Accelerators Overall, our design is three orders of magnitude more energy efficient than GraphR and achieves 7.23× and 2.3× energy efficiency compared to SparseMEM and TARe, respectively

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T19:22:44.129383Z

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Unavailable: canonical work link unavailable.

Observation 2e6c54db-caf8-4d72-a553-ba1abbae02f5 · outbound

This paper cites On average, our design achieves three orders of magnitude higher speedup than GraphR, and 2.38× and 1.27× over SparseMEM and TARe, respectively.

Leveraging Recurrent Patterns in Graph Accelerators On average, our design achieves three orders of magnitude higher speedup than GraphR, and 2.38× and 1.27× over SparseMEM and TARe, respectively

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T19:22:44.133331Z

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Observation 0cb4ecca-bd98-4e3c-a9e6-4bc4dc5462c5 · outbound

This paper cites Finding High-Quality Content in Social Media,.

Leveraging Recurrent Patterns in Graph Accelerators Finding High-Quality Content in Social Media,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T19:22:44.136827Z

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Observation 77021c19-0f4d-434b-8858-2d03dc1d3115 · outbound

This paper cites Explicit expanders of every degree and size.

Leveraging Recurrent Patterns in Graph Accelerators Explicit expanders of every degree and size

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T19:22:44.139937Z

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Unavailable: canonical work link unavailable.

Observation 0d47636c-0b8e-4775-b0f7-c3831371c392 · outbound

This paper cites Collaborative Fil- tering Recommender Systems,.

Leveraging Recurrent Patterns in Graph Accelerators Collaborative Fil- tering Recommender Systems,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T19:22:44.143204Z

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Observation 3bc70189-5337-45ed-b828-3d5e0799eaa4 · outbound

This paper cites Blast2GO: a universal tool for annotation, visualization and analysis in functional genomics research,.

Leveraging Recurrent Patterns in Graph Accelerators Blast2GO: a universal tool for annotation, visualization and analysis in functional genomics research,

Reference 6

Resolution: verified exact; doi, observed 2026-08-03T19:23:24.575734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation df3b2f87-b6b1-41a3-8e80-99ae883133e0 · outbound

This paper cites SNAP Datasets: Stanford Large Network Da- taset Collection.

Leveraging Recurrent Patterns in Graph Accelerators SNAP Datasets: Stanford Large Network Da- taset Collection

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T19:22:44.149488Z

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Unavailable: canonical work link unavailable.

Observation 017d1106-f9cd-4822-9c34-c13530cf6f11 · outbound

This paper cites The Network Data Repository with Inter- active Graph Analytics and Visualization,.

Leveraging Recurrent Patterns in Graph Accelerators The Network Data Repository with Inter- active Graph Analytics and Visualization,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T19:22:44.152346Z

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Observation e64f85fc-4899-45ee-8d33-d146a08f5849 · outbound

This paper cites KONECT: the Koblenz network collection,.

Leveraging Recurrent Patterns in Graph Accelerators KONECT: the Koblenz network collection,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T19:22:44.155488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3282ed2e-0a45-4631-b6c4-9752a35ca321 · outbound

This paper cites A Survey on Graph Processing Accelerators: Challenges and Opportunities,.

Leveraging Recurrent Patterns in Graph Accelerators A Survey on Graph Processing Accelerators: Challenges and Opportunities,

Reference 10

Resolution: verified exact; doi, observed 2026-08-03T19:23:24.435371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5171f334-a605-4232-9873-721264aba624 · outbound

This paper cites A Survey of Memory-Centric Energy Efficient Computer Architecture,.

Leveraging Recurrent Patterns in Graph Accelerators A Survey of Memory-Centric Energy Efficient Computer Architecture,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T19:22:44.161044Z

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Unavailable: canonical work link unavailable.

Observation eb6ade8a-9cfa-4575-b385-611e6e7b6aeb · outbound

This paper cites GraphR: Accelerating Graph Processing Using ReRAM,.

Leveraging Recurrent Patterns in Graph Accelerators GraphR: Accelerating Graph Processing Using ReRAM,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T19:22:44.164059Z

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Unavailable: canonical work link unavailable.

Observation 044995ee-6204-4eb2-aa23-297443895629 · outbound

This paper cites Performance and Accuracy Tradeoffs for Training Graph Neural Net- works on ReRAM -Based Architectures,.

Leveraging Recurrent Patterns in Graph Accelerators Performance and Accuracy Tradeoffs for Training Graph Neural Net- works on ReRAM -Based Architectures,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T19:22:44.167041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b001133-2ec6-476d-a462-3fa0bd626222 · outbound

This paper cites Accelerating Graph Convolutional Networks Using Crossbar-based Processing -In-Memory Architectures,.

Leveraging Recurrent Patterns in Graph Accelerators Accelerating Graph Convolutional Networks Using Crossbar-based Processing -In-Memory Architectures,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T19:22:44.169960Z

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Observation 47eb79e3-865f-4c6d-98a7-2e984c567c04 · outbound

This paper cites ReGraphX: NoC -enabled 3D Heterogeneous ReRAM Architecture for Training Graph Neural Networks,.

Leveraging Recurrent Patterns in Graph Accelerators ReGraphX: NoC -enabled 3D Heterogeneous ReRAM Architecture for Training Graph Neural Networks,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T19:22:44.173134Z

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Observation df0dc111-816c-44ad-977b-f3fea80a56d9 · outbound

This paper cites Spara: An Energy -Efficient ReRAM-Based Accelerator for Sparse Graph Analytics Applications,.

Leveraging Recurrent Patterns in Graph Accelerators Spara: An Energy -Efficient ReRAM-Based Accelerator for Sparse Graph Analytics Applications,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T19:22:44.176027Z

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Observation ba76aa29-9ad0-42f8-a179-981d1174f48c · outbound

This paper cites A Task-Adaptive In-Situ ReRAM Computing for Graph Convolutional Networks,.

Leveraging Recurrent Patterns in Graph Accelerators A Task-Adaptive In-Situ ReRAM Computing for Graph Convolutional Networks,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T19:22:44.181663Z

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Observation cca3e751-43b0-48c4-8dc2-3ea2c53a8b93 · outbound

This paper cites Metal–Oxide RRAM,.

Leveraging Recurrent Patterns in Graph Accelerators Metal–Oxide RRAM,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T19:22:44.184391Z

Source-reported events for the cited work

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Observation b0809fdc-9e01-4dc1-b4ca-9758bf48dd12 · outbound

This paper cites 19.7 A 16Gb ReRAM with 200MB/s write and 1GB/s read in 27nm technology,.

Leveraging Recurrent Patterns in Graph Accelerators 19.7 A 16Gb ReRAM with 200MB/s write and 1GB/s read in 27nm technology,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T19:22:44.187125Z

Source-reported events for the cited work

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Observation e5b65ed2-963d-4b13-813e-b8975b98f57d · outbound

This paper cites Performance-based comparative study of exist- ing and emerging non-volatile memories: a review,.

Leveraging Recurrent Patterns in Graph Accelerators Performance-based comparative study of exist- ing and emerging non-volatile memories: a review,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T19:22:44.189932Z

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Observation 949c865d-0188-4c68-82fd-580d7b802757 · outbound

This paper cites PRIME: A Novel Processing -in-Memory Architecture for Neural Network Computation in ReRAM -Based Main Memory,.

Leveraging Recurrent Patterns in Graph Accelerators PRIME: A Novel Processing -in-Memory Architecture for Neural Network Computation in ReRAM -Based Main Memory,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T19:22:44.192862Z

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Observation bc86cc50-acaa-4fd9-a587-d93b4d078a8c · outbound

This paper cites EMBER: Efficient Multiple- Bits-Per-Cell Embedded RRAM Macro for High-Density Digital Storage,.

Leveraging Recurrent Patterns in Graph Accelerators EMBER: Efficient Multiple- Bits-Per-Cell Embedded RRAM Macro for High-Density Digital Storage,

Reference 23

Resolution: malformed identifier; no resolver link, observed 2026-08-03T19:22:44.195804Z

Source-reported events for the cited work

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Observation e6981c5f-7bf3-4fcd-bf80-cb249e12fb6f · outbound

This paper cites Automated Testing Algorithm for the Improvement of 1T1R ReRAM Endurance,.

Leveraging Recurrent Patterns in Graph Accelerators Automated Testing Algorithm for the Improvement of 1T1R ReRAM Endurance,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T19:22:44.198829Z

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Observation ab8dc26b-8038-4d63-8824-5e171fceb425 · outbound

This paper cites Transparent Resistive Switching Memory Using ITO/AlN/ITO Capacitors,.

Leveraging Recurrent Patterns in Graph Accelerators Transparent Resistive Switching Memory Using ITO/AlN/ITO Capacitors,

Reference 25

Resolution: verified exact; doi, observed 2026-08-03T19:23:24.237074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ea5c3b88-b2ea-43be-8fad-28f0e22164d2 · outbound

This paper cites Overcoming the challenges of crossbar resistive memory ar- chitectures,.

Leveraging Recurrent Patterns in Graph Accelerators Overcoming the challenges of crossbar resistive memory ar- chitectures,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T19:22:44.204380Z

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Observation 9317ad88-63d4-415a-af5f-8e1293a63de4 · outbound

This paper cites Dot-product engine for neuromorphic computing: Program- ming 1T1M crossbar to accelerate matrix -vector multiplication,.

Leveraging Recurrent Patterns in Graph Accelerators Dot-product engine for neuromorphic computing: Program- ming 1T1M crossbar to accelerate matrix -vector multiplication,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T19:22:44.207089Z

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Observation 1f02c615-3bd7-4a7d-acab-37e6ac2e6b09 · outbound

This paper cites GIM: Versatile GNN Acceleration with Reconfigurable Processing -in-Memory,.

Leveraging Recurrent Patterns in Graph Accelerators GIM: Versatile GNN Acceleration with Reconfigurable Processing -in-Memory,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T19:22:44.210062Z

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Observation 3885b916-298e-49b5-95cf-29538f0297ba · outbound

This paper cites Janus: A Flexible Processing-in-Memory Graph Accelerator Toward Sparsity,.

Leveraging Recurrent Patterns in Graph Accelerators Janus: A Flexible Processing-in-Memory Graph Accelerator Toward Sparsity,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-03T19:22:44.212780Z

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Observation f4586ac2-4b51-4d18-83af-c31279d68b30 · outbound

This paper cites GraphIte: Accelerating Iterative Graph Algorithms on ReRAM Architectures via Approximate Computing,.

Leveraging Recurrent Patterns in Graph Accelerators GraphIte: Accelerating Iterative Graph Algorithms on ReRAM Architectures via Approximate Computing,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-03T19:22:44.215572Z

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Observation 43e5d0e7-5a2a-4ab4-8778-a0ce817f0aa7 · outbound

This paper cites Random Evolution in Massive Graphs,.

Leveraging Recurrent Patterns in Graph Accelerators Random Evolution in Massive Graphs,

Reference 31

Resolution: verified exact; doi, observed 2026-08-03T19:23:24.006256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7456c3f0-b0fb-4611-934c-8cf28e6fd902 · outbound

This paper cites NVSim: A Circuit- Level Per- formance, Energy, and Area Model for Emerging Nonvolatile Memory,.

Leveraging Recurrent Patterns in Graph Accelerators NVSim: A Circuit- Level Per- formance, Energy, and Area Model for Emerging Nonvolatile Memory,

Reference 32

Resolution: verified exact; doi, observed 2026-08-03T19:23:23.813117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 411df184-122c-4701-836e-9f6c1cbebe58 · outbound

This paper cites Cacti 6.0: A tool to model large caches,.

Leveraging Recurrent Patterns in Graph Accelerators Cacti 6.0: A tool to model large caches,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-03T19:22:44.224078Z

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Observation 73a46f4e-e3e0-4970-a9ec-cf734240d499 · outbound

This paper cites A 3.1 mW 8b 1.2 GS/s Single-Channel Asynchronous SAR ADC With Alternate Comparators for Enhanced Speed in 32 nm Digital SOI CMOS,.

Leveraging Recurrent Patterns in Graph Accelerators A 3.1 mW 8b 1.2 GS/s Single-Channel Asynchronous SAR ADC With Alternate Comparators for Enhanced Speed in 32 nm Digital SOI CMOS,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-03T19:22:44.226784Z

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Observation 69c70b2f-40d0-46c7-85d1-d05e4642785f · outbound

This paper cites RRAM Defect Modeling and Failure Analysis Based on March Test and a Novel Squeeze-Search Scheme,.

Leveraging Recurrent Patterns in Graph Accelerators RRAM Defect Modeling and Failure Analysis Based on March Test and a Novel Squeeze-Search Scheme,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-03T19:22:44.229485Z

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Pith citing papers

No inbound Pith citation observations are available.