Paper Citation Record · LEDGER

DeepCell: Self-Supervised Multiview Fusion for Circuit Representation Learning

As of 10 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2502.06816.

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

pith.paper-citation-record.v1
2502.06816 v2

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T10:59:38.628286Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

48 of 48 outbound references displayed

verified exact3
verified fuzzy33
unresolved12
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2f4ce6bc-8828-4449-9866-c20648437ebb · outbound

This paper cites Large circuit models: opportunities and challenges,.

DeepCell: Self-Supervised Multiview Fusion for Circuit Representation Learning Large circuit models: opportunities and challenges,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:59:39.583786Z

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Observation d6ee6953-a338-482e-9e01-0d6ecd5621ee · outbound

This paper cites DeepCircuitX: A Comprehensive Repository-Level Dataset for RTL Code Understanding, Generation, and PPA Analysis.

DeepCell: Self-Supervised Multiview Fusion for Circuit Representation Learning DeepCircuitX: A Comprehensive Repository-Level Dataset for RTL Code Understanding, Generation, and PPA Analysis

Reference 2

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Observation 0eedbd09-ae67-452a-bc9b-d40af09271c6 · outbound

This paper cites Deepgate: Learning neural representations of logic gates,.

DeepCell: Self-Supervised Multiview Fusion for Circuit Representation Learning Deepgate: Learning neural representations of logic gates,

Reference 3

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Observation 08d49818-a1a0-45ae-8a80-5c4ee2b656d3 · outbound

This paper cites Functionality matters in netlist representation learning,.

DeepCell: Self-Supervised Multiview Fusion for Circuit Representation Learning Functionality matters in netlist representation learning,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:59:39.549510Z

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Observation 192baacd-0ce0-4057-a79a-497f583754dc · outbound

This paper cites Deepgate2: Functionality-aware circuit representation learning,.

DeepCell: Self-Supervised Multiview Fusion for Circuit Representation Learning Deepgate2: Functionality-aware circuit representation learning,

Reference 5

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Observation 8ddf7650-7154-415e-9288-9d91b88ca3ad · outbound

This paper cites Gamora: Graph learning based symbolic reasoning for large-scale boolean networks,.

DeepCell: Self-Supervised Multiview Fusion for Circuit Representation Learning Gamora: Graph learning based symbolic reasoning for large-scale boolean networks,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:59:39.500890Z

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Observation bfdf385e-520e-4863-9eef-2d58675af5f1 · outbound

This paper cites Less is More: Hop-Wise Graph Attention for Scalable and Generalizable Learning on Circuits.

DeepCell: Self-Supervised Multiview Fusion for Circuit Representation Learning Less is More: Hop-Wise Graph Attention for Scalable and Generalizable Learning on Circuits

Reference 7

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Observation 69f80a7c-7561-4c70-baa0-551e0b86c98b · outbound

This paper cites Deepgate3: Towards scalable circuit representation learning,.

DeepCell: Self-Supervised Multiview Fusion for Circuit Representation Learning Deepgate3: Towards scalable circuit representation learning,

Reference 8

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Observation 3c6be2d5-2d2b-4bbc-8599-1f18670ff686 · outbound

This paper cites Deepseq: Deep sequential circuit learning,.

DeepCell: Self-Supervised Multiview Fusion for Circuit Representation Learning Deepseq: Deep sequential circuit learning,

Reference 9

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Observation b8e903bb-9f4f-4c63-9d89-58ff52b245c1 · outbound

This paper cites Polargate: Breaking the functionality representation bottleneck of and-inverter graph neural network,.

DeepCell: Self-Supervised Multiview Fusion for Circuit Representation Learning Polargate: Breaking the functionality representation bottleneck of and-inverter graph neural network,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:59:39.400383Z

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Observation 0a0bf9e4-4355-4fb1-9d18-0a78ccc67c1d · outbound

This paper cites Deeptpi: Test point insertion with deep reinforcement learning,.

DeepCell: Self-Supervised Multiview Fusion for Circuit Representation Learning Deeptpi: Test point insertion with deep reinforcement learning,

Reference 11

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Source-reported events for the cited work

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Observation 56be0852-27bc-4785-adad-91f4433e781c · outbound

This paper cites Lsoracle: A logic synthesis framework driven by arti- ficial intelligence,.

DeepCell: Self-Supervised Multiview Fusion for Circuit Representation Learning Lsoracle: A logic synthesis framework driven by arti- ficial intelligence,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:59:39.337582Z

Source-reported events for the cited work

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Observation 8fcdc352-6f7b-46a1-a0ac-3c42bcc505dd · outbound

This paper cites Rtlrewriter: Methodologies for large models aided rtl code optimization,.

DeepCell: Self-Supervised Multiview Fusion for Circuit Representation Learning Rtlrewriter: Methodologies for large models aided rtl code optimization,

Reference 13

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Observation 32e78b17-83ac-4c85-8437-c50491cf3016 · outbound

This paper cites Circuitfusion: multimodal circuit representation learning for agile chip design,.

DeepCell: Self-Supervised Multiview Fusion for Circuit Representation Learning Circuitfusion: multimodal circuit representation learning for agile chip design,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:59:39.284869Z

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Observation d923af4e-19c7-4fde-97de-9d3e3f63f943 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

DeepCell: Self-Supervised Multiview Fusion for Circuit Representation Learning BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 15

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Observation f07fc5a2-76c0-4ea6-ae6a-0b41061473a6 · outbound

This paper cites Efficient computation of eco patch functions,.

DeepCell: Self-Supervised Multiview Fusion for Circuit Representation Learning Efficient computation of eco patch functions,

Reference 16

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Observation 271705c6-54d6-48a3-a97d-59cd0bb31ec9 · outbound

This paper cites Abc: A system for sequential synthesis and verification,.

DeepCell: Self-Supervised Multiview Fusion for Circuit Representation Learning Abc: A system for sequential synthesis and verification,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:59:39.221302Z

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Observation e203c5b3-434d-4c70-a561-7cddbadb439a · outbound

This paper cites Logic Optimization Meets SAT: A Novel Framework for Circuit-SAT Solving.

DeepCell: Self-Supervised Multiview Fusion for Circuit Representation Learning Logic Optimization Meets SAT: A Novel Framework for Circuit-SAT Solving

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-09T10:59:38.777670Z

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Observation bd2e7ba8-c6b0-44bc-85ad-d40557d44431 · outbound

This paper cites DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale.

DeepCell: Self-Supervised Multiview Fusion for Circuit Representation Learning DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale

Reference 19

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Observation 5d524a0c-b4f4-4fff-a720-2e9bd39fb3d0 · outbound

This paper cites Virtually every asic ends up an fpga,.

DeepCell: Self-Supervised Multiview Fusion for Circuit Representation Learning Virtually every asic ends up an fpga,

Reference 20

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Observation 353e3a34-d351-4334-b540-a1838d85d9e1 · outbound

This paper cites Match and replace: A functional eco engine for multierror circuit rectification,.

DeepCell: Self-Supervised Multiview Fusion for Circuit Representation Learning Match and replace: A functional eco engine for multierror circuit rectification,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:59:39.191792Z

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Observation 468fcad2-efef-4140-a3fb-867613612567 · outbound

This paper cites Engineering change order for combinational and sequential design rectification,.

DeepCell: Self-Supervised Multiview Fusion for Circuit Representation Learning Engineering change order for combinational and sequential design rectification,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:59:39.177705Z

Source-reported events for the cited work

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Observation 07069bc7-c6b2-455c-b907-65dd68bfd271 · outbound

This paper cites Learning to automate the design updates from observed engineering changes in the chip development cycle,.

DeepCell: Self-Supervised Multiview Fusion for Circuit Representation Learning Learning to automate the design updates from observed engineering changes in the chip development cycle,

Reference 23

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Observation 4d2cb379-2f39-4f59-b755-1b56b470101f · outbound

This paper cites Feep: Functional eco synthesis with efficient patch minimization,.

DeepCell: Self-Supervised Multiview Fusion for Circuit Representation Learning Feep: Functional eco synthesis with efficient patch minimization,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:59:39.148383Z

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Observation c1efa891-2c55-434d-b46a-4a0ba9451dc5 · outbound

This paper cites Reducing structural bias in technology mapping,.

DeepCell: Self-Supervised Multiview Fusion for Circuit Representation Learning Reducing structural bias in technology mapping,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:59:39.133270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1c9ad2d5-f7a3-4589-b33b-f81d21b202ff · outbound

This paper cites An enhanced resubstitution algorithm for area-oriented logic optimization,.

DeepCell: Self-Supervised Multiview Fusion for Circuit Representation Learning An enhanced resubstitution algorithm for area-oriented logic optimization,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:59:39.118323Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 666e1ec0-d79a-4ba6-976f-188bcf6ab7d7 · outbound

This paper cites Logical effort: Designing for speed on the back of an envelope,.

DeepCell: Self-Supervised Multiview Fusion for Circuit Representation Learning Logical effort: Designing for speed on the back of an envelope,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:59:39.103843Z

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Observation bd139f21-0ea2-421e-8ff5-da88f8d330e0 · outbound

This paper cites Technology mapping with boolean matching, supergates and choices,.

DeepCell: Self-Supervised Multiview Fusion for Circuit Representation Learning Technology mapping with boolean matching, supergates and choices,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:59:39.088783Z

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Observation e284a828-6edb-4555-a9e1-446825bf750e · outbound

This paper cites Maptune: Advancing asic technology mapping via reinforcement learning guided library tuning,.

DeepCell: Self-Supervised Multiview Fusion for Circuit Representation Learning Maptune: Advancing asic technology mapping via reinforcement learning guided library tuning,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:59:39.073600Z

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Observation 3c3ddb0f-75b4-42e7-aac8-74db8baccacc · outbound

This paper cites Timing-driven technology mapping approximation based on reinforcement learning,.

DeepCell: Self-Supervised Multiview Fusion for Circuit Representation Learning Timing-driven technology mapping approximation based on reinforcement learning,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:59:39.057969Z

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Observation 7e924a02-2cd4-4e9e-930f-d1298de7ec99 · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

DeepCell: Self-Supervised Multiview Fusion for Circuit Representation Learning Semi-Supervised Classification with Graph Convolutional Networks

Reference 31

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Observation 55f581bd-2a6b-481f-a414-a989e9791c73 · outbound

This paper cites ForgeEDA: A Comprehensive Multimodal Dataset for Advancing EDA.

DeepCell: Self-Supervised Multiview Fusion for Circuit Representation Learning ForgeEDA: A Comprehensive Multimodal Dataset for Advancing EDA

Reference 32

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Observation 2f453049-8727-4713-98ac-0995ec66fbab · outbound

This paper cites Skywater open source pdk.

DeepCell: Self-Supervised Multiview Fusion for Circuit Representation Learning Skywater open source pdk

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:59:39.042482Z

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Observation 6716dd47-6074-410f-92ec-16a5423ce3a3 · outbound

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DeepCell: Self-Supervised Multiview Fusion for Circuit Representation Learning Unresolved cited work

Reference 34

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Observation fc1de53a-4896-43a9-9bf9-f652f706c904 · outbound

This paper cites Globalfoundries gf180mcu open source pdk.

DeepCell: Self-Supervised Multiview Fusion for Circuit Representation Learning Globalfoundries gf180mcu open source pdk

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:59:39.010932Z

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Observation 7bdf3982-8d4f-45a0-82bf-018e21f5ff2b · outbound

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DeepCell: Self-Supervised Multiview Fusion for Circuit Representation Learning Unresolved cited work

Reference 36

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Observation 61867eba-2605-4c5f-a964-8af66dc48af7 · outbound

This paper cites Learning a SAT Solver from Single-Bit Supervision.

DeepCell: Self-Supervised Multiview Fusion for Circuit Representation Learning Learning a SAT Solver from Single-Bit Supervision

Reference 37

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Observation 86e9ac20-f77a-4c01-a69e-4b4951d2c62d · outbound

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DeepCell: Self-Supervised Multiview Fusion for Circuit Representation Learning Graph Attention Networks

Reference 38

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Observation 30703ed6-6e6c-430b-b11f-69d9689197ed · outbound

This paper cites A robust functional eco engine by sat proof minimization and interpolation techniques,.

DeepCell: Self-Supervised Multiview Fusion for Circuit Representation Learning A robust functional eco engine by sat proof minimization and interpolation techniques,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:59:38.978634Z

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Observation d642472d-f616-4ab5-a239-b02af7597b68 · outbound

This paper cites Reformer: The efficient trans- former,.

DeepCell: Self-Supervised Multiview Fusion for Circuit Representation Learning Reformer: The efficient trans- former,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:59:38.963603Z

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Observation 620e70a8-b12e-4df4-a7ce-b238aa770ceb · outbound

This paper cites 2017 iccad cad contest problem a: Resource-aware patch generation,.

DeepCell: Self-Supervised Multiview Fusion for Circuit Representation Learning 2017 iccad cad contest problem a: Resource-aware patch generation,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:59:38.948217Z

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Observation 0633edcf-2092-45a7-b561-4cae94009ac6 · outbound

This paper cites Combinational profiles of sequential benchmark circuits,.

DeepCell: Self-Supervised Multiview Fusion for Circuit Representation Learning Combinational profiles of sequential benchmark circuits,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:59:38.931198Z

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Observation 1c265d19-d5c4-458c-b94c-920bfdb1fc3b · outbound

This paper cites Characteristics of the itc’99 benchmark circuits,.

DeepCell: Self-Supervised Multiview Fusion for Circuit Representation Learning Characteristics of the itc’99 benchmark circuits,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:59:38.913480Z

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Observation 917f7175-27e1-41dd-af86-e300231fe63f · outbound

This paper cites Iwls 2005 benchmarks,.

DeepCell: Self-Supervised Multiview Fusion for Circuit Representation Learning Iwls 2005 benchmarks,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:59:38.897946Z

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Observation 347c6336-00c6-47fd-8dbc-9df419441de2 · outbound

This paper cites Boolean matching for large libraries,.

DeepCell: Self-Supervised Multiview Fusion for Circuit Representation Learning Boolean matching for large libraries,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:59:38.881989Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ac584a68-5e64-4e35-b0ba-b66989e724be · outbound

This paper cites Delay-optimal technology mapping by dag covering,.

DeepCell: Self-Supervised Multiview Fusion for Circuit Representation Learning Delay-optimal technology mapping by dag covering,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:59:38.865687Z

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Observation 46f82bb3-faae-46b4-909b-de6712d2b6fb · outbound

This paper cites The epfl combinational benchmark suite,.

DeepCell: Self-Supervised Multiview Fusion for Circuit Representation Learning The epfl combinational benchmark suite,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:59:38.849066Z

Source-reported events for the cited work

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Observation dc878c7c-7786-443c-9f70-86f9e93dae67 · outbound

This paper cites Practical Boolean Decomposition for Delay-driven LUT Mapping.

DeepCell: Self-Supervised Multiview Fusion for Circuit Representation Learning Practical Boolean Decomposition for Delay-driven LUT Mapping

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-08-09T10:59:38.674418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

No inbound Pith citation observations are available.