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Paper Citation Record · LEDGER

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

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 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 13 of 13 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 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:38:35.123394Z

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T22:09:19.917854Z digest=sha256:747f8027945d3ebfec49aee0fec2a68ac9caf6812d9ed06558a0da6af6b9df77

Observation e8b2fd3d-3358-4d60-a33a-532da9c5d6ef · inbound

GraphMinNet: Learning Dependencies in Graphs with Light Complexity Minimal Architecture cites this paper.

GraphMinNet: Learning Dependencies in Graphs with Light Complexity Minimal Architecture State Space Model for New-Generation Network Alternative to Transformers: A Survey

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-09T19:38:35.123394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:38:35.123394Z digest=sha256:032c8a9c5808c58b583e2a56c8e00c81d674a56258a5d46a4eeff8ca6b4d77cb

Observation aa6c778f-45d7-430e-b354-06ecc3872ea8 · inbound

A Study on the Performance of U-Net Modifications in Retroperitoneal Tumor Segmentation cites this paper.

A Study on the Performance of U-Net Modifications in Retroperitoneal Tumor Segmentation State Space Model for New-Generation Network Alternative to Transformers: A Survey

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-09T19:29:38.479232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T19:29:38.479232Z digest=sha256:75c7a05a784b17fb2548da4ffc52ffdafa5fc27e1794dd69456d8fc356f58893

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T22:07:12.198095Z digest=sha256:5c5e00fb35717572ce72a650dcd9cf777209324b896586f4bf98cf9e1981f21e

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=sha256:7dd4623502b6bb48de0a8da008d855bf3faa89b7a38631a4f8ab0ec1f458d2ac

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T11:53:28.278150Z digest=sha256:23bf61ef613078869fab9b04617f5337f403a2913f547a89f01b4309569a65e7

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:d5b46cf35159295a889d6702d80f6f535b5db744b62d19f4b9ee67c6224f11c0

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:f54924e14cbc38c99da392589a25d34de21b5651561687d4c70502596b386e5d

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:f91e105d92b3121c890c95a3e7b4db30375b613a1b5a04e6223a340dbfd7ee58

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:faf814a0641fd187162c3fb938f1edb031d48e5133917558afc4fb0e1845055c

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=sha256:7f175749121e09dd0ea21251ef4e2892e230f474b2edd1cfd6524600b6544998

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T17:55:12.551127Z digest=sha256:0523e39519d3f6bca9be9382ce639888e975919375c2987696326960265521bb

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-01T05:44:47.006590Z digest=sha256:caba8a3e477dcba65f22556fc70ba509229454048b245355f84eb3590dc21eca