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Paper Citation Record · LEDGER

FTMoMamba: Motion Generation with Frequency and Text State Space Models

As of 13 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2411.17532.

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

pith.paper-citation-record.v1
2411.17532 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:03:40.424407Z

measured 37 of 37 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.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

37 of 37 outbound references displayed

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  • verified fuzzy22
  • unresolved14
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 805e7c67-56af-4ad5-8235-ab96cfe6bb1b · outbound

This paper cites Text2action: Generative adversarial synthesis from language to action.

FTMoMamba: Motion Generation with Frequency and Text State Space Models Text2action: Generative adversarial synthesis from language to action

Reference 1

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Observation 8f7849c8-5da6-44f8-be94-69c047dbce21 · outbound

This paper cites Hp-gan: Probabilistic 3d human motion prediction via gan.

FTMoMamba: Motion Generation with Frequency and Text State Space Models Hp-gan: Probabilistic 3d human motion prediction via gan

Reference 2

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Observation 3802c779-0429-4f10-b168-a648272b6220 · outbound

This paper cites Frequency domain analysis of human mo- tions in surveillance video.

FTMoMamba: Motion Generation with Frequency and Text State Space Models Frequency domain analysis of human mo- tions in surveillance video

Reference 3

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Observation 737d76c5-f6ec-46c6-a714-03854dfab9d3 · outbound

This paper cites Fre- quency domain state-space system identification.

FTMoMamba: Motion Generation with Frequency and Text State Space Models Fre- quency domain state-space system identification

Reference 4

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation f0c620ff-9f18-443c-b0c9-7d1d37606a68 · outbound

This paper cites Executing your commands via mo- tion diffusion in latent space.

FTMoMamba: Motion Generation with Frequency and Text State Space Models Executing your commands via mo- tion diffusion in latent space

Reference 5

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Observation b779188e-0c1e-4b44-8cfe-95a40dff1aec · outbound

This paper cites Slowfast diversity-aware prototype learning for egocentric action recognition.

FTMoMamba: Motion Generation with Frequency and Text State Space Models Slowfast diversity-aware prototype learning for egocentric action recognition

Reference 6

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Observation 070f0797-74d3-4b53-a713-d4d4e20440bc · outbound

This paper cites Fusion-Mamba for Cross-modality Object Detection.

FTMoMamba: Motion Generation with Frequency and Text State Space Models Fusion-Mamba for Cross-modality Object Detection

Reference 7

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Observation c9c157ca-c4e2-4d2b-ace0-a8a958a33142 · outbound

This paper cites Synthesis of compositional animations from textual descriptions.

FTMoMamba: Motion Generation with Frequency and Text State Space Models Synthesis of compositional animations from textual descriptions

Reference 8

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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.

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Observation 7eb3285e-a32e-4dfe-9831-4ed02d816b87 · outbound

This paper cites Tm2d: Bimodality driven 3d dance generation via music-text integration.

FTMoMamba: Motion Generation with Frequency and Text State Space Models Tm2d: Bimodality driven 3d dance generation via music-text integration

Reference 9

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Observation e06f4d08-f725-409a-b8fa-8c22bc94c8dd · outbound

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

FTMoMamba: Motion Generation with Frequency and Text State Space Models Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 10

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Observation 1fec69f2-870c-4b66-b61d-d7d8ca361fb8 · outbound

This paper cites Ac- tion2motion: Conditioned generation of 3d human motions.

FTMoMamba: Motion Generation with Frequency and Text State Space Models Ac- tion2motion: Conditioned generation of 3d human motions

Reference 11

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Observation 091fab5c-81e2-4026-8676-5eaa8939f3c1 · outbound

This paper cites Generating diverse and natural 3d human motions from text.

FTMoMamba: Motion Generation with Frequency and Text State Space Models Generating diverse and natural 3d human motions from text

Reference 12

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Observation 2f761ef5-3345-4959-bf12-79bf4065186b · outbound

This paper cites Tm2t: Stochastic and tokenized modeling for the reciprocal gener- ation of 3d human motions and texts.

FTMoMamba: Motion Generation with Frequency and Text State Space Models Tm2t: Stochastic and tokenized modeling for the reciprocal gener- ation of 3d human motions and texts

Reference 13

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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.

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Observation a01aad46-6ce9-46b9-b0c4-e9f94aec2545 · outbound

This paper cites Denoising dif- fusion probabilistic models.

FTMoMamba: Motion Generation with Frequency and Text State Space Models Denoising dif- fusion probabilistic models

Reference 14

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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.

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Observation 5a847840-8e0e-4f3c-ba21-69d100284c98 · outbound

This paper cites IRSRMamba: Infrared Image Super-Resolution via Mamba-based Wavelet Transform Feature Modulation Model.

FTMoMamba: Motion Generation with Frequency and Text State Space Models IRSRMamba: Infrared Image Super-Resolution via Mamba-based Wavelet Transform Feature Modulation Model

Reference 15

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Observation 3565ccc6-d513-42da-a91c-75723fb13a2f · outbound

This paper cites Stablemofusion: Towards robust and efficient diffusion-based motion generation framework.

FTMoMamba: Motion Generation with Frequency and Text State Space Models Stablemofusion: Towards robust and efficient diffusion-based motion generation framework

Reference 16

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 2d66b7e1-3bf2-47d2-956a-8f8b1f817401 · outbound

This paper cites Motiongpt: Human motion as a foreign language.

FTMoMamba: Motion Generation with Frequency and Text State Space Models Motiongpt: Human motion as a foreign language

Reference 17

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 706b7dc2-993a-4b7e-8366-eb59db7b5a82 · outbound

This paper cites Differentiable Frequency-based Disentanglement for Aerial Video Action Recognition.

FTMoMamba: Motion Generation with Frequency and Text State Space Models Differentiable Frequency-based Disentanglement for Aerial Video Action Recognition

Reference 18

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 13bd5395-9900-4c27-a8c0-72b99122d84a · outbound

This paper cites Tfformer: A time frequency information fusion based cnn-transformer model for osa de- tection with single-lead ecg.

FTMoMamba: Motion Generation with Frequency and Text State Space Models Tfformer: A time frequency information fusion based cnn-transformer model for osa de- tection with single-lead ecg

Reference 19

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation a855cf21-c904-4bb4-9d19-5b382db37a41 · outbound

This paper cites FourierMamba: Fourier Learning Integration with State Space Models for Image Deraining.

FTMoMamba: Motion Generation with Frequency and Text State Space Models FourierMamba: Fourier Learning Integration with State Space Models for Image Deraining

Reference 20

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Observation 185255c8-8d5b-447c-ada7-71861a3731c3 · outbound

This paper cites RoboMamba: Efficient Vision-Language-Action Model for Robotic Reasoning and Manipulation.

FTMoMamba: Motion Generation with Frequency and Text State Space Models RoboMamba: Efficient Vision-Language-Action Model for Robotic Reasoning and Manipulation

Reference 21

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Observation a6901443-6a18-4dbf-84b8-9887c18f86c9 · outbound

This paper cites Amass: Archive of mo- tion capture as surface shapes.

FTMoMamba: Motion Generation with Frequency and Text State Space Models Amass: Archive of mo- tion capture as surface shapes

Reference 22

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Observation 00ee6fa8-4573-4c81-aad5-ad7bc048866b · outbound

This paper cites Temos: Generating diverse human motions from textual descriptions.

FTMoMamba: Motion Generation with Frequency and Text State Space Models Temos: Generating diverse human motions from textual descriptions

Reference 23

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 5c2de1b4-9032-4343-a704-e9982b8ef39c · outbound

This paper cites Learn- ing transferable visual models from natural language super- vision.

FTMoMamba: Motion Generation with Frequency and Text State Space Models Learn- ing transferable visual models from natural language super- vision

Reference 24

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation b4898f8f-9e29-4248-8c6f-d665fc786871 · outbound

This paper cites Human Motion Diffusion as a Generative Prior.

FTMoMamba: Motion Generation with Frequency and Text State Space Models Human Motion Diffusion as a Generative Prior

Reference 25

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Observation 4dba9771-143c-4a1c-bbb7-d564b43b98a3 · outbound

This paper cites Finestyle: Semantic-aware fine- grained motion style transfer with dual interactive-flow fu- sion.

FTMoMamba: Motion Generation with Frequency and Text State Space Models Finestyle: Semantic-aware fine- grained motion style transfer with dual interactive-flow fu- sion

Reference 26

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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.

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Observation a0c1eafb-b821-4ada-a9b8-762eb3c8cc4b · outbound

This paper cites Motionclip: Exposing human motion generation to clip space.

FTMoMamba: Motion Generation with Frequency and Text State Space Models Motionclip: Exposing human motion generation to clip space

Reference 27

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raw_fallback, observed 2026-08-12T12:03:41.169833Z

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.

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Observation dbe4457d-1dfb-4ea8-b2eb-c66b477536f6 · outbound

This paper cites Human motion diffu- sion model.

FTMoMamba: Motion Generation with Frequency and Text State Space Models Human motion diffu- sion model

Reference 28

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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.

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Observation 66a08cc6-197f-4737-bc4c-03ec432a2e01 · outbound

This paper cites Attention is all you need.

FTMoMamba: Motion Generation with Frequency and Text State Space Models Attention is all you need

Reference 29

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Observation e07f31a4-c4ba-45ac-aa80-7de1e189202e · outbound

This paper cites Sigma: Siamese Mamba Network for Multi-Modal Semantic Segmentation.

FTMoMamba: Motion Generation with Frequency and Text State Space Models Sigma: Siamese Mamba Network for Multi-Modal Semantic Segmentation

Reference 30

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Observation 0e670320-ad77-4f05-aa30-d655f76c8141 · outbound

This paper cites Fg-t2m: Fine-grained text-driven human motion generation via diffusion model.

FTMoMamba: Motion Generation with Frequency and Text State Space Models Fg-t2m: Fine-grained text-driven human motion generation via diffusion model

Reference 31

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raw_fallback, observed 2026-08-12T12:03:41.063125Z

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.

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Observation 2a58c3d8-f335-40cf-b661-b7d7ce136346 · outbound

This paper cites Alignment-free Raw Video Demoireing.

FTMoMamba: Motion Generation with Frequency and Text State Space Models Alignment-free Raw Video Demoireing

Reference 32

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Observation 613a51ad-ae72-43e9-8680-58fd3980f994 · outbound

This paper cites Physdiff: Physics-guided human motion diffusion model.

FTMoMamba: Motion Generation with Frequency and Text State Space Models Physdiff: Physics-guided human motion diffusion model

Reference 33

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Observation 276548ab-c021-4cc8-8833-d380386dc76a · outbound

This paper cites Gener- ative motion stylization of cross-structure characters within canonical motion space.

FTMoMamba: Motion Generation with Frequency and Text State Space Models Gener- ative motion stylization of cross-structure characters within canonical motion space

Reference 34

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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.

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Observation 60944d11-b371-4bcd-9647-250d8cd63c07 · outbound

This paper cites Motiondif- fuse: Text-driven human motion generation with diffusion model.

FTMoMamba: Motion Generation with Frequency and Text State Space Models Motiondif- fuse: Text-driven human motion generation with diffusion model

Reference 35

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raw_fallback, observed 2026-08-12T12:03:40.976474Z

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.

source=pdf_text observed=2026-08-12T12:03:40.363819Z digest=sha256:ca21dc6e8b8cb804a5fa7c2f1ac426ea91c1e3ab9b9474db98d932c932f6de0d

Observation 0530904c-2786-4350-be09-faee51e99599 · outbound

This paper cites Motion mamba: Efficient and long sequence motion generation.

FTMoMamba: Motion Generation with Frequency and Text State Space Models Motion mamba: Efficient and long sequence motion generation

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:03:40.935389Z

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.

source=pdf_text observed=2026-08-12T12:03:40.395248Z digest=sha256:b5c4298bfeb69745edbeb9494ded76130944c48dfbfe6cce20d31ffde1036ad6

Observation dfff1a87-ba85-4c1e-aa75-48a80b22a2ce · outbound

This paper cites Attt2m: Text-driven human motion generation with multi- perspective attention mechanism.

FTMoMamba: Motion Generation with Frequency and Text State Space Models Attt2m: Text-driven human motion generation with multi- perspective attention mechanism

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:03:40.886560Z

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.

source=pdf_text observed=2026-08-12T12:03:40.424407Z digest=sha256:dd498e30d165f022899f569a30c433c5be1d165af6ebe7d3b2361de6aa36c8be

Pith citing papers

No inbound Pith citation observations are available.