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Paper Citation Record · LEDGER

Rethinking Diffusion for Text-Driven Human Motion Generation: Redundant Representations, Evaluation, and Masked Autoregression

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2411.16575.

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

pith.paper-citation-record.v1
2411.16575 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 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 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:19:17.546036Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T14:51:42.630492Z

Reference resolution

0 of 0 outbound references displayed

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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 78f2ac2b-d228-47b8-90e5-36de5f378d71 · inbound

MARRS: Masked Autoregressive Unit-based Reaction Synthesis cites this paper.

MARRS: Masked Autoregressive Unit-based Reaction Synthesis Rethinking Diffusion for Text-Driven Human Motion Generation: Redundant Representations, Evaluation, and Masked Autoregression

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-22T14:51:42.634239Z

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=2026-05-22T14:48:35.211157Z digest=sha256:d21ba23d10b567d9e0aaa1e12e72217f000a95b278170bc473d2c55b162bd507

Observation 124db5c9-a06f-4fab-84a4-a84e7efbd553 · inbound

Absolute Coordinates Make Motion Generation Easy cites this paper.

Absolute Coordinates Make Motion Generation Easy Rethinking Diffusion for Text-Driven Human Motion Generation: Redundant Representations, Evaluation, and Masked Autoregression

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-07T14:19:17.546036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:19:17.546036Z digest=sha256:18149bd0e49fa53e65bf39dbaa55902c5381854a9771ea039fa9a515746350d5

Observation 58b463ca-5f50-48a1-a3b3-4edd62e64d42 · inbound

ANT: Adaptive Neural Temporal-Aware Text-to-Motion Model cites this paper.

ANT: Adaptive Neural Temporal-Aware Text-to-Motion Model Rethinking Diffusion for Text-Driven Human Motion Generation: Redundant Representations, Evaluation, and Masked Autoregression

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T11:27:47.193849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:27:47.193849Z digest=sha256:53cc92363d34493baeef630f5489d3a1f348b70d94a3b03cce18d5b1f4edca07

Observation 1cd17dd2-ccd9-4a50-a8eb-c7ef53fea2a5 · inbound

PhysiInter: Integrating Physical Mapping for High-Fidelity Human Interaction Generation cites this paper.

PhysiInter: Integrating Physical Mapping for High-Fidelity Human Interaction Generation Rethinking Diffusion for Text-Driven Human Motion Generation: Redundant Representations, Evaluation, and Masked Autoregression

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-07T05:38:33.369159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:33.369159Z digest=sha256:1c698f841f0f23eab767d73ac3061e455be1530a87749aca8a9b50848bc307e4

Observation a52edd66-8f6e-44f0-958c-93a86e011122 · inbound

Motion Generation: A Survey of Generative Approaches and Benchmarks cites this paper.

Motion Generation: A Survey of Generative Approaches and Benchmarks Rethinking Diffusion for Text-Driven Human Motion Generation: Redundant Representations, Evaluation, and Masked Autoregression

Reference 100

Resolution
unresolved
no resolver link, observed 2026-08-06T19:30:20.017675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:30:20.017675Z digest=sha256:9442558c52d2c59bf3d7cdf22fcf532f034d4e084be0d2f6c2a0454ef3eb55cf

Observation 4651db29-c7ed-421f-9498-5d5fa8019a61 · inbound

Go to Zero: Towards Zero-shot Motion Generation with Million-scale Data cites this paper.

Go to Zero: Towards Zero-shot Motion Generation with Million-scale Data Rethinking Diffusion for Text-Driven Human Motion Generation: Redundant Representations, Evaluation, and Masked Autoregression

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-06T18:53:32.386094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:53:32.386094Z digest=sha256:2c7e15e54939a45365e6f5f5cec0555592ef6f95f056cbaeba4adc9705e78b1b

Observation 5af102a7-4055-4ed7-ab69-41ed3f0a26c4 · inbound

MDD: A Dataset for Text-and-Music Conditioned Duet Dance Generation cites this paper.

MDD: A Dataset for Text-and-Music Conditioned Duet Dance Generation Rethinking Diffusion for Text-Driven Human Motion Generation: Redundant Representations, Evaluation, and Masked Autoregression

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-05T17:10:50.239058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:10:50.239058Z digest=sha256:9c9deeb8faa9f9f3a3d0aae3dd9e824ead63889a68e38d6becc7574d91c591d8

Observation b2ebd645-7810-4092-ab20-9316f938e1c9 · inbound

SONIC: Supersizing Motion Tracking for Natural Humanoid Whole-Body Control cites this paper.

SONIC: Supersizing Motion Tracking for Natural Humanoid Whole-Body Control Rethinking Diffusion for Text-Driven Human Motion Generation: Redundant Representations, Evaluation, and Masked Autoregression

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-22T12:31:31.960142Z

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.

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Observation 05a5ca0d-c982-4677-bc24-b23ef8781cd1 · inbound

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation cites this paper.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation Rethinking Diffusion for Text-Driven Human Motion Generation: Redundant Representations, Evaluation, and Masked Autoregression

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-03T17:06:56.526984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T17:06:56.526984Z digest=sha256:a43e3991a1496b0eeeacca3036e581ecca613052aa23cf7406e2961ffc6d231b

Observation 17d8d5b7-6ac0-4414-845d-de473cd02d6c · inbound

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation cites this paper.

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation Rethinking Diffusion for Text-Driven Human Motion Generation: Redundant Representations, Evaluation, and Masked Autoregression

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-03T16:24:08.027036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation efb37274-4af3-49c5-bbeb-01fed0eb3a6d · inbound

Next-Scale Autoregressive Models for Text-to-Motion Generation cites this paper.

Next-Scale Autoregressive Models for Text-to-Motion Generation Rethinking Diffusion for Text-Driven Human Motion Generation: Redundant Representations, Evaluation, and Masked Autoregression

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-13T17:28:02.124090Z

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.

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Observation 95e40577-1bdb-4b24-a8c9-5c5072d44937 · inbound

Next-Scale Autoregressive Models for Text-to-Motion Generation cites this paper.

Next-Scale Autoregressive Models for Text-to-Motion Generation Rethinking Diffusion for Text-Driven Human Motion Generation: Redundant Representations, Evaluation, and Masked Autoregression

Reference 31

Resolution
unresolved
no resolver link, observed 2026-07-13T12:16:25.843631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T12:16:25.843631Z digest=sha256:e08cc6bb93bf97a385af2d5b49ebbab4fe0a95865f27bfb44a3ef9370be130d1

Observation 4d9901a3-dfb1-4ecf-9cc8-62fad5e43a88 · inbound

ScaleMoGen: Autoregressive Next-Scale Prediction for Human Motion Generation cites this paper.

ScaleMoGen: Autoregressive Next-Scale Prediction for Human Motion Generation Rethinking Diffusion for Text-Driven Human Motion Generation: Redundant Representations, Evaluation, and Masked Autoregression

Reference 28

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T06:27:24.803238Z

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=2026-05-13T06:24:01.820975Z digest=sha256:b3fc9d5e2a112eb5c379ce2ec5e11af576fee5e2c38e25b3ef7bbb923f45392a

Observation bb02572b-85b8-4abf-9ea7-1dcca3b18b4c · inbound

ScaleMoGen: Autoregressive Next-Scale Prediction for Human Motion Generation cites this paper.

ScaleMoGen: Autoregressive Next-Scale Prediction for Human Motion Generation Rethinking Diffusion for Text-Driven Human Motion Generation: Redundant Representations, Evaluation, and Masked Autoregression

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-02T14:19:02.141029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:19:02.141029Z digest=sha256:d16847be022a7cee8590fdc13d7b363cc7f75654700b701905b8073058e7f118

Observation f7878185-a5c8-4804-9b2f-4ce8eab0ecd2 · inbound

MoRAE: Flow-Friendly Self-Supervised Latents for Text-to-Motion Generation cites this paper.

MoRAE: Flow-Friendly Self-Supervised Latents for Text-to-Motion Generation Rethinking Diffusion for Text-Driven Human Motion Generation: Redundant Representations, Evaluation, and Masked Autoregression

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-03T12:14:34.208362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T12:14:34.208362Z digest=sha256:a681a514e7863ad0fc99c0233550cbcbc0f5d9d6ce2a4b127a6c47f1d804010a