Paper Citation Record · LEDGER

M3: Mamba-assisted Multi-Circuit Optimization via MBRL with Effective Scheduling

As of 13 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2411.16019.

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

pith.paper-citation-record.v1
2411.16019 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:41:29.044206Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

26 of 26 outbound references displayed

verified exact0
verified fuzzy16
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b5df57c9-516f-42f2-aa2d-532880198552 · outbound

This paper cites Autockt: Deep reinforcement learning of analog circuit designs,.

M3: Mamba-assisted Multi-Circuit Optimization via MBRL with Effective Scheduling Autockt: Deep reinforcement learning of analog circuit designs,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:41:29.630771Z

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 791111d2-497f-439e-bd4b-ef06fdea8aa1 · outbound

This paper cites Gcn-rl circuit designer: Transferable transis- tor sizing with graph neural networks and reinforcement learning,.

M3: Mamba-assisted Multi-Circuit Optimization via MBRL with Effective Scheduling Gcn-rl circuit designer: Transferable transis- tor sizing with graph neural networks and reinforcement learning,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:41:29.616961Z

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 5b91462f-e140-4ccb-805d-da3db74942b4 · outbound

This paper cites Rose: Robust analog circuit parameter optimization with sampling-efficient re- inforcement learning,.

M3: Mamba-assisted Multi-Circuit Optimization via MBRL with Effective Scheduling Rose: Robust analog circuit parameter optimization with sampling-efficient re- inforcement learning,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:41:29.603740Z

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 c6842913-ff5b-47e5-81da-6a108a711043 · outbound

This paper cites Automated design of complex analog circuits with mul- tiagent based reinforcement learning,.

M3: Mamba-assisted Multi-Circuit Optimization via MBRL with Effective Scheduling Automated design of complex analog circuits with mul- tiagent based reinforcement learning,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:41:29.590253Z

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 26c7f0b7-c24f-469a-a06f-e9be79d2b7ad · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

M3: Mamba-assisted Multi-Circuit Optimization via MBRL with Effective Scheduling Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T13:41:28.883440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c77976a-e993-4e3d-9553-fa13b3e17fea · outbound

This paper cites Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality.

M3: Mamba-assisted Multi-Circuit Optimization via MBRL with Effective Scheduling Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T13:41:28.893250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b0e3d9f-5e9b-44ca-a19c-46b6f148a5c4 · outbound

This paper cites Meta-world: A benchmark and evaluation for multi-task and meta reinforcement learning,.

M3: Mamba-assisted Multi-Circuit Optimization via MBRL with Effective Scheduling Meta-world: A benchmark and evaluation for multi-task and meta reinforcement learning,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:41:29.576797Z

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 b597b552-0ea4-44a6-a484-58fa2b8f5e72 · outbound

This paper cites On effective scheduling of model-based reinforcement learning,.

M3: Mamba-assisted Multi-Circuit Optimization via MBRL with Effective Scheduling On effective scheduling of model-based reinforcement learning,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:41:29.558282Z

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 362d3e71-ca9e-42a9-a4b9-cd307ff56ddb · outbound

This paper cites Jamba: A Hybrid Transformer-Mamba Language Model.

M3: Mamba-assisted Multi-Circuit Optimization via MBRL with Effective Scheduling Jamba: A Hybrid Transformer-Mamba Language Model

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T13:41:28.914795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eec696e2-ced0-44e8-955a-259ad237c1e5 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

M3: Mamba-assisted Multi-Circuit Optimization via MBRL with Effective Scheduling Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T13:41:28.932932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11a76139-ed00-4dc1-94c0-9c947734eb8b · outbound

This paper cites In- tegrating mamba and transformer for long-short range time series forecasting,.

M3: Mamba-assisted Multi-Circuit Optimization via MBRL with Effective Scheduling In- tegrating mamba and transformer for long-short range time series forecasting,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T13:41:28.940321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a1588dd-96ed-47a3-b419-8e64966b9125 · outbound

This paper cites Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model.

M3: Mamba-assisted Multi-Circuit Optimization via MBRL with Effective Scheduling Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T13:41:28.947536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d13abecd-c545-4e43-933b-6fe5c1679e91 · outbound

This paper cites A Survey of Mamba.

M3: Mamba-assisted Multi-Circuit Optimization via MBRL with Effective Scheduling A Survey of Mamba

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T13:41:28.954852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ef9c991-517b-49cf-b1e8-9ca04071a294 · outbound

This paper cites Proximal Policy Optimization Algorithms.

M3: Mamba-assisted Multi-Circuit Optimization via MBRL with Effective Scheduling Proximal Policy Optimization Algorithms

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T13:41:28.963004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6ec9ea7-179b-44ec-8a4a-0013bb06331f · outbound

This paper cites Soft actor-critic: Off-policy maximum entropy deep reinforce- ment learning with a stochastic actor,.

M3: Mamba-assisted Multi-Circuit Optimization via MBRL with Effective Scheduling Soft actor-critic: Off-policy maximum entropy deep reinforce- ment learning with a stochastic actor,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:41:29.525888Z

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 fa04a522-f315-43d7-8f45-c8f791fd7b0d · outbound

This paper cites When to trust your model: Model-based policy optimization,.

M3: Mamba-assisted Multi-Circuit Optimization via MBRL with Effective Scheduling When to trust your model: Model-based policy optimization,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:41:29.506068Z

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 fd2ac711-df0d-4f27-b8cf-554df9443102 · outbound

This paper cites Bidirectional model-based policy optimization,.

M3: Mamba-assisted Multi-Circuit Optimization via MBRL with Effective Scheduling Bidirectional model-based policy optimization,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:41:29.489306Z

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 5fba459f-61a3-4753-b510-fb5105df3d52 · outbound

This paper cites Trust the model when it is confident: Masked model-based actor-critic,.

M3: Mamba-assisted Multi-Circuit Optimization via MBRL with Effective Scheduling Trust the model when it is confident: Masked model-based actor-critic,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:41:29.543138Z

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 a307515a-c68d-4db3-83d2-4ad0203beb2b · outbound

This paper cites Pvtsizing: A turbo-rl-based batch-sampling optimization framework for pvt-robust analog circuit synthesis,.

M3: Mamba-assisted Multi-Circuit Optimization via MBRL with Effective Scheduling Pvtsizing: A turbo-rl-based batch-sampling optimization framework for pvt-robust analog circuit synthesis,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:41:29.472786Z

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 220864bc-d9e6-4831-a036-f2ff4b682793 · outbound

This paper cites Parasitic-aware analog circuit sizing with graph neural networks and bayesian optimization,.

M3: Mamba-assisted Multi-Circuit Optimization via MBRL with Effective Scheduling Parasitic-aware analog circuit sizing with graph neural networks and bayesian optimization,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:41:29.444994Z

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 37fbd73c-13f5-441e-88d0-61b5b8431ee9 · outbound

This paper cites Data is all you need: Finetuning llms for chip design via an au- tomated design-data augmentation framework,.

M3: Mamba-assisted Multi-Circuit Optimization via MBRL with Effective Scheduling Data is all you need: Finetuning llms for chip design via an au- tomated design-data augmentation framework,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:41:29.427298Z

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 742fe7bb-e0e8-46e4-b645-071dde89908a · outbound

This paper cites Cronus: Circuit rapid optimization with neural simulator,.

M3: Mamba-assisted Multi-Circuit Optimization via MBRL with Effective Scheduling Cronus: Circuit rapid optimization with neural simulator,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:41:29.407412Z

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 53c5ab01-f6f1-425b-b115-05562f983bba · outbound

This paper cites Using probabilistic model rollouts to boost the sample efficiency of rein- forcement learning for automated analog circuit sizing,.

M3: Mamba-assisted Multi-Circuit Optimization via MBRL with Effective Scheduling Using probabilistic model rollouts to boost the sample efficiency of rein- forcement learning for automated analog circuit sizing,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:41:29.391634Z

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 4a4a7b90-3ead-49de-82db-b930e6de6876 · outbound

This paper cites INSIGHT: Universal Neural Simulator for Analog Circuits Harnessing Autoregressive Transformers.

M3: Mamba-assisted Multi-Circuit Optimization via MBRL with Effective Scheduling INSIGHT: Universal Neural Simulator for Analog Circuits Harnessing Autoregressive Transformers

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T13:41:29.026527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48b0876b-9583-4126-9a9a-3e7370d3fb27 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

M3: Mamba-assisted Multi-Circuit Optimization via MBRL with Effective Scheduling Adam: A Method for Stochastic Optimization

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T13:41:29.034992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35f53a12-4c4e-4258-98c4-98ce97ce38d8 · outbound

This paper cites Spinning Up in Deep Reinforcement Learn- ing,.

M3: Mamba-assisted Multi-Circuit Optimization via MBRL with Effective Scheduling Spinning Up in Deep Reinforcement Learn- ing,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:41:29.373729Z

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.

Pith citing papers

No inbound Pith citation observations are available.