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Paper Citation Record · LEDGER

State Space Model for New-Generation Network Alternative to Transformers: A Survey

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2404.09516.

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

pith.paper-citation-record.v1
2404.09516 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:11:47.039341Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-01T10:15:44.163407Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 534b632c-323b-4dc3-bf1f-ca4feeaccff9 · inbound

A Survey of Mamba cites this paper.

A Survey of Mamba State Space Model for New-Generation Network Alternative to Transformers: A Survey

Reference 193

Resolution
verified exact
arxiv_id, observed 2026-05-23T22:13:31.091253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T22:09:19.917854Z digest=sha256:8e3a4b5694319d83036043b3cd24f2c13086cf1b319c458d8661f104676df092

Observation 56fd7ddd-d20c-4646-adf7-e71f818e8e9f · inbound

Advancing Intelligent Sequence Modeling: Evolution, Trade-offs, and Applications of State- Space Architectures from S4 to Mamba cites this paper.

Advancing Intelligent Sequence Modeling: Evolution, Trade-offs, and Applications of State- Space Architectures from S4 to Mamba State Space Model for New-Generation Network Alternative to Transformers: A Survey

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-22T22:12:11.708912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-22T22:07:12.198095Z digest=sha256:bca869d51d0d356c2d8bdc6ed90c69aef9906e65ab56eece5a663ee615d3a642

Observation f7c6cbca-2e74-4f2a-baee-f984d743b03b · inbound

Geometric Hyena Networks for Large-scale Equivariant Learning cites this paper.

Geometric Hyena Networks for Large-scale Equivariant Learning State Space Model for New-Generation Network Alternative to Transformers: A Survey

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-07T13:11:47.039341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:11:47.039341Z digest=sha256:02ddf5b57686cf65a6d90c6414fd1a8696bc65391ea662320dfa3a9045f87cc5

Observation 6c5deb38-3c46-4ae5-9490-d70eac1351ef · inbound

Gaussian mixture models as a proxy for interacting language models cites this paper.

Gaussian mixture models as a proxy for interacting language models State Space Model for New-Generation Network Alternative to Transformers: A Survey

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-19T11:57:16.421487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T11:53:28.278150Z digest=sha256:16bf506d4eb184d67d2cbe67d47916cf162a002533c582489b47c03bb3953957

Observation ad1cddd2-9497-475f-921a-dc41483d4a57 · inbound

FMaMIL: Frequency-Driven Mamba Multi-Instance Learning for Weakly Supervised Lesion Segmentation in Medical Images cites this paper.

FMaMIL: Frequency-Driven Mamba Multi-Instance Learning for Weakly Supervised Lesion Segmentation in Medical Images State Space Model for New-Generation Network Alternative to Transformers: A Survey

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-07T05:35:41.129200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:35:41.129200Z digest=sha256:eea67f8b43c39861755db6d242fd841fd365b0dbcde561bfc8978bdf3b3adf58

Observation cc7f4305-d06c-4930-8f2f-109f3216c99f · inbound

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking cites this paper.

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking State Space Model for New-Generation Network Alternative to Transformers: A Survey

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T21:38:12.271620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:38:12.271620Z digest=sha256:93452ffcdff17e7794a7d1ea569dbc2ad92bc45bcf3a75342b40286b29d03810

Observation 57c5da3e-8b19-4ea6-8d5a-fbf4593e77c4 · inbound

TrackingMiM: Efficient Mamba-in-Mamba Serialization for Real-time UAV Object Tracking cites this paper.

TrackingMiM: Efficient Mamba-in-Mamba Serialization for Real-time UAV Object Tracking State Space Model for New-Generation Network Alternative to Transformers: A Survey

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-06T20:55:43.885791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:55:43.885791Z digest=sha256:b884c91a6bd8060267eb6e819d9d7c97a2382ff4c6d8e96e9120e9b435f8e3db

Observation ec1e1495-4ab7-44b3-ac03-c510d1125d32 · inbound

A Deep State-Space Model Compression Method using Upper Bound on Output Error cites this paper.

A Deep State-Space Model Compression Method using Upper Bound on Output Error State Space Model for New-Generation Network Alternative to Transformers: A Survey

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-04T09:42:57.693563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:42:57.693563Z digest=sha256:e9bb49fe7d235ae8ea2c9b163c68df603f0ceb282f4165864945dc73272749f7

Observation e4e83da1-3135-4152-9ab9-90fc14dff977 · inbound

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals cites this paper.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals State Space Model for New-Generation Network Alternative to Transformers: A Survey

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-04T09:27:11.662696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T09:27:11.662696Z digest=sha256:871a3a1ae8d1bdd303a375801f63d585368122381dc96e378e5bdcb7d00aa377

Observation 837efbd7-46d6-4adf-aa05-41a1f3591dde · inbound

ABMAMBA: Multimodal Large Language Model with Aligned Hierarchical Bidirectional Scan for Efficient Video Captioning cites this paper.

ABMAMBA: Multimodal Large Language Model with Aligned Hierarchical Bidirectional Scan for Efficient Video Captioning State Space Model for New-Generation Network Alternative to Transformers: A Survey

Reference 62

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T05:51:08.580434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T17:55:12.551127Z digest=sha256:2974260a8a972d3f199c4c66b2b1820b0445a7c328a7d8d071ff429ce26e0b6e

Observation 364b6971-5ee2-42fe-a77a-d34262ed536e · inbound

Temperature Field Reconstruction of Tungsten Monoblock Divertor on EAST using Physics-aware Neural Operator Transformer cites this paper.

Temperature Field Reconstruction of Tungsten Monoblock Divertor on EAST using Physics-aware Neural Operator Transformer State Space Model for New-Generation Network Alternative to Transformers: A Survey

Reference 36

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T10:15:44.164973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-01T05:44:47.006590Z digest=sha256:da5a8950928a70d30ef9efe37befcd161d2cb2f1385581085f55d4991b9c0a4b