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Paper Citation Record · LEDGER

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction

As of 23 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 0 inbound Pith citation observations for arXiv:2507.06590.

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

pith.paper-citation-record.v1
2507.06590 v1

Coverage vector

measured 67 of 67 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:05:17.605587Z

measured 67 of 67 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

67 of 67 outbound references displayed

  • verified exact4
  • verified fuzzy57
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d7a20916-db73-465e-b05a-8f8024452bca · outbound

This paper cites Surface motion capture animation synthe- sis,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Surface motion capture animation synthe- sis,

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 989ead4a-b701-49ca-a33f-0fec9379d60c · outbound

This paper cites Adaptive score alignment learning for continual perceptual quality assessment of 360-degree videos in virtual reality,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Adaptive score alignment learning for continual perceptual quality assessment of 360-degree videos in virtual reality,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.748901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 2db31901-9e63-4667-bfff-15b9784b8178 · outbound

This paper cites Two-character motion analysis and synthesis,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Two-character motion analysis and synthesis,

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation bf35708c-4283-48c3-ae25-5c654fc382e3 · outbound

This paper cites Hierarchical graph convo- lutional networks for action quality assessment,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Hierarchical graph convo- lutional networks for action quality assessment,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.729957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation ba509069-8f57-4bbb-899e-a7ee71f88322 · outbound

This paper cites Combining recurrent neural networks and adversarial training for human motion synthesis and control,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Combining recurrent neural networks and adversarial training for human motion synthesis and control,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.720482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:05:11.367394Z digest=sha256:ab15e039220b692f63976959442d77bdd47dfdf0ab3448e8c8dabbc25a23251d

Observation 4a49d6cf-48ab-448e-ae36-6370bf421c07 · outbound

This paper cites Multi-task spatial- temporal graph auto-encoder for hand motion denoising,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Multi-task spatial- temporal graph auto-encoder for hand motion denoising,

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:05:11.402658Z digest=sha256:c59bca8dcca9d438edc971bd6265bd37883cb11e75e5224b96a2b1c158a8ce88

Observation bfc4c8fa-c73c-477f-a3c2-8fb74499012e · outbound

This paper cites Temporally guided music-to-body-movement generation,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Temporally guided music-to-body-movement generation,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.700778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:05:11.494016Z digest=sha256:6408c13a55d53aaf96d757000627119f2caf1d828c6665e3f98908744f65d804

Observation eda54066-0f6c-4ec9-ac90-9c4efc9b0a2b · outbound

This paper cites Ai choreographer: Music conditioned 3d dance generation with aist++,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Ai choreographer: Music conditioned 3d dance generation with aist++,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.691613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:05:11.573804Z digest=sha256:e0fb5f4dc0aa19c269f0af9d106aaadac837bebb6c642c3903caf16da7429f06

Observation 12349d5a-7c6f-40c2-8fcc-d8d8d3583948 · outbound

This paper cites Self-supervised dance video synthesis conditioned on music,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Self-supervised dance video synthesis conditioned on music,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.681103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:05:11.659462Z digest=sha256:8d569addc66f7db23ef8ace62ce369d7dbd2c742d5a95f37afa60e62d3517f96

Observation 9b121207-fa5a-440f-a0fa-9ea53d94c78a · outbound

This paper cites Deepphase: Periodic autoencoders for learning motion phase manifolds,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Deepphase: Periodic autoencoders for learning motion phase manifolds,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.670930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:05:11.745885Z digest=sha256:5fa3ba10624e3f8e4a2732171f123fba0cf75ac41b6b73ab5932730a2bc193d4

Observation f3e9f655-2f7e-40ab-baa3-e67580f2e3e9 · outbound

This paper cites Edge: Editable dance generation from music,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Edge: Editable dance generation from music,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.661127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:05:11.818284Z digest=sha256:0f7fe170abc7f1972178513ed718b7be5877e30197b8335871b9aa735a00d913

Observation d51e72a8-0353-4d66-9480-c3a54fbf1124 · outbound

This paper cites Rhythm is a dancer: Music-driven motion syn- thesis with global structure,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Rhythm is a dancer: Music-driven motion syn- thesis with global structure,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.652071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:05:11.910346Z digest=sha256:ca73c7fcf7e9cb70968009c1919466b7181d0a28d59c7c207bc43fe0ca3cdc6f

Observation c89d02d7-65b1-4496-8ac7-ec7f6c4891e8 · outbound

This paper cites Example-based automatic music-driven conventional dance motion synthesis,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Example-based automatic music-driven conventional dance motion synthesis,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.642128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:05:11.966936Z digest=sha256:3d671afd98bedab99d50a3023f0080b1da35d8a9d1bef796fe285fdd9e3e7793

Observation 3047e9d6-b12d-43ad-8837-de9a65d88c59 · outbound

This paper cites Action2motion: Conditioned generation of 3d human motions,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Action2motion: Conditioned generation of 3d human motions,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.632246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:05:12.089034Z digest=sha256:241985399946899babc7c964b315807cf37bc2ba181ca916f6d4e372c36f7980

Observation 6c5988ee-8ae5-40f7-80a5-e0c7c1ae6c54 · outbound

This paper cites Action-conditioned 3d human motion synthesis with transformer vae,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Action-conditioned 3d human motion synthesis with transformer vae,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.622630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:05:12.215934Z digest=sha256:1f9f28e52568a5568417bf1229548c12622b51bf71da125ea9213f31fafc00b7

Observation 905f2cac-4a89-472b-a7f8-f273c8c95987 · outbound

This paper cites Implicit neural rep- resentations for variable length human motion generation,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Implicit neural rep- resentations for variable length human motion generation,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.613066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:05:12.338432Z digest=sha256:e422affea281e7898bb349879a7e4e584b10a6ba64697c0437dd85e36e04fa82

Observation 2955bf3c-d855-497d-9985-66c2824ba61c · outbound

This paper cites Action2video: Generating videos of human 3d actions,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Action2video: Generating videos of human 3d actions,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.600965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:05:12.466698Z digest=sha256:dee21458f5cff1084f8b623615a0fec9c5a6570d63f87058373c0a6c714cf7b1

Observation b3f56236-41b6-4d95-b46f-9fc919e69a43 · outbound

This paper cites Guided motion diffusion for controllable human motion synthesis,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Guided motion diffusion for controllable human motion synthesis,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.589774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:05:12.595553Z digest=sha256:7f26fad6831218a035dd2c11b6657d8d6bee6dc74d3fae3697d0977ea291749b

Observation cfdfd965-ddf3-4213-857e-d1bbca967cef · outbound

This paper cites TLControl: Trajectory and Language Control for Human Motion Synthesis.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction TLControl: Trajectory and Language Control for Human Motion Synthesis

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T19:05:12.700317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:05:12.700317Z digest=sha256:1d05f8f625d2202bf1c6be040e16db1dee7f9ddc412be65f47cf6e8c83bec88a

Observation 4a308fec-cf61-4d37-bb9e-b55a914adac6 · outbound

This paper cites Human Motion Diffusion as a Generative Prior.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Human Motion Diffusion as a Generative Prior

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T19:05:12.822597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:05:12.822597Z digest=sha256:d526a88d6a1ee6d2aefaabc7a70ac3f0fcdc7e7f326beb1b03db0ce0d9642ff4

Observation 7ddd2aa0-52c1-40a0-87e3-bbfb8ab27c33 · outbound

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

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Generating diverse and natural 3d human motions from text,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.577862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:05:12.976966Z digest=sha256:27fa867279fd692b3b41b45e83512430547481164312dc6bd406135b3a013fbe

Observation 459bfc4b-6787-4e80-83d5-14ace21c966f · outbound

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

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Temos: Generating diverse human motions from textual descriptions,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.566466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:05:13.129269Z digest=sha256:45e438a9f338a863d9895309e47e7f127833d5af0c6a26882e0338597c97e573

Observation 812fcb1b-e5ee-4816-8ace-b63c9271e1fa · outbound

This paper cites Human motion diffusion model,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Human motion diffusion model,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.556409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:05:13.312685Z digest=sha256:2f2581b23188716132802edb6976cb2ca8d783664c818b1960eac1dbfcf102cb

Observation 2ce66227-71d5-4717-b4c4-bc33b02dddf3 · outbound

This paper cites Executing your commands via motion diffusion in latent space,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Executing your commands via motion diffusion in latent space,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.546172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:05:13.487879Z digest=sha256:b18ffae6e474bd5decaf4d87ff9da61b45cd4412bab19b36eb641bc392ff73e7

Observation d9e15e84-6a23-463c-a334-519942a7f9d5 · outbound

This paper cites Mo- tiondiffuse: Text-driven human motion generation with diffusion model,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Mo- tiondiffuse: Text-driven human motion generation with diffusion model,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.534073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:05:13.663363Z digest=sha256:d48bfba90fc64eb2c76c7f5a12b837b0530419e14361f1ec15ad7f07a3faed08

Observation 03f0ff3b-83fd-4ea0-bad5-371e3b4b7870 · outbound

This paper cites A two-part transformer network for controllable motion synthesis,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction A two-part transformer network for controllable motion synthesis,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.524141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:05:13.861972Z digest=sha256:d4be7d819561737ee79dbad1f89bc38c459997dd701e21fd36cef14d1ced9bd1

Observation 79b3a158-ef91-4d24-b579-2de74e9cd714 · outbound

This paper cites Generating animated videos of human activities from natural language descriptions,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Generating animated videos of human activities from natural language descriptions,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.513074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:05:14.064407Z digest=sha256:9b69604c948de2dec7728852ac3e70e9e9892ff029dea05752b3d8d9d930b51b

Observation 81b94fb2-2fe7-4cc4-91ee-82947c68a9f5 · outbound

This paper cites Language2pose: Natural language grounded pose forecasting,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Language2pose: Natural language grounded pose forecasting,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.502831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:05:14.312204Z digest=sha256:30c4c17dcfb30a557e6c371342609970a301a209d9c597d7121d2e6f869d5d88

Observation 30d94ee8-48d9-4f6f-9f12-e56174e14ed0 · outbound

This paper cites Synthesis of compositional animations from textual descriptions,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Synthesis of compositional animations from textual descriptions,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.492278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:05:14.529872Z digest=sha256:02432faec80ee30273868cdf7e185c941764f506795e524beee0d52831067404

Observation cffd4cc2-9f95-4c36-9894-85ce87ce5b29 · outbound

This paper cites Text2gestures: A transformer-based network for generating emotive body gestures for virtual agents,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Text2gestures: A transformer-based network for generating emotive body gestures for virtual agents,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.481263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:05:14.667842Z digest=sha256:7e8c9ae0a11fa9328b731b70bae662a6a85638ea6a6c5a0c464193a6a0cadfb0

Observation 0a4fbdcd-8001-4a30-af6b-6f80629f6ef5 · outbound

This paper cites Tm2t: Stochastic and tokenized modeling for the reciprocal generation of 3d human motions and texts,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Tm2t: Stochastic and tokenized modeling for the reciprocal generation of 3d human motions and texts,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.470565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:05:14.757232Z digest=sha256:fe3e2ee4cdc242cafcaafea77577200887d13a1b10a05c92f1636462a092ac62

Observation 5c8891ef-98e6-400a-9522-84f5a66999b2 · outbound

This paper cites MoMask: Generative Masked Modeling of 3D Human Motions.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction MoMask: Generative Masked Modeling of 3D Human Motions

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T19:05:14.872481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:05:14.872481Z digest=sha256:2f893cc90d7d13187f9902b6ed8ae2876d3b9f3871ece5f26155b6b222e44ad5

Observation 0b83869b-b0c4-43f3-a883-65b1c71eb2dc · outbound

This paper cites Generating human motion from textual descriptions with discrete representations,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Generating human motion from textual descriptions with discrete representations,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.459707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:05:14.957867Z digest=sha256:a77991e2963925baaaf8eb636e2dd646a164293200d2693d0d90025db364db8b

Observation 00155982-36a2-4696-b483-99fba34f62cd · outbound

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

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Tm2d: Bimodality driven 3d dance generation via music-text integration,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.448532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:05:15.014882Z digest=sha256:1aa8d188fb6a62eb336ea7c1b075e693ee62462d9642dddeecd77a5e7dc1eb1c

Observation aa26e5b6-907e-4434-b383-850aad09de10 · outbound

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

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Motiongpt: Human motion as a foreign language,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.436418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:05:15.102847Z digest=sha256:398e4db09a3d01020779ec39ebf577f82c7481b157a8537db3e8033b6175dccd

Observation a53a58dd-722f-4265-a70e-63a46b52c6e4 · outbound

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

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Fg-t2m: Fine- grained text-driven human motion generation via diffusion model,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.424329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:05:15.201528Z digest=sha256:1f5416a8abfed3c72ab224203240fe2d3977afcc88417aa3312250384529df00

Observation c32ee190-3a31-4fdb-be21-3cbf0f6f438f · outbound

This paper cites Human motion diffusion model,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Human motion diffusion model,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.414309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:05:15.271245Z digest=sha256:265f777d208c2658492062c88522dc4e71a08f4bcd52c23db509177f43b5f21e

Observation 34013278-2e9d-4cc9-b670-b0e60c21d151 · outbound

This paper cites Flame: Free-form language-based motion synthesis&editing,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Flame: Free-form language-based motion synthesis&editing,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.403638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:05:15.382608Z digest=sha256:6b2d75d76d3bcb4be5ad2398eaaec6e28de654b06d30a55dde4db461c15d27e6

Observation 4d7f26d8-1651-4740-969d-ac6859a7ce55 · outbound

This paper cites Guess: Gradually enriching synthesis for text-driven human motion generation,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Guess: Gradually enriching synthesis for text-driven human motion generation,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.391969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:05:15.466621Z digest=sha256:92c1d37a1158a85bd4bda88c0427a3444d15f46b75a29f50225d23b48693383b

Observation 8bc565f4-1bd0-4dd0-9820-45f703bfe01a · outbound

This paper cites ReMoDiffuse: Retrieval-Augmented Motion Diffusion Model.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction ReMoDiffuse: Retrieval-Augmented Motion Diffusion Model

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T19:05:15.554689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:05:15.554689Z digest=sha256:4c1655885127fc17739eeb12fa892784657c234737af7164b33df6b1d81214a0

Observation 845a39eb-a8a4-49dc-95f2-26ababc4d37a · outbound

This paper cites The kit motion-language dataset,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction The kit motion-language dataset,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.216750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:05:15.665731Z digest=sha256:299f046337f6ba6e3840c953766561ace9bfc9a7570dd9edb3f01f2470e1e00e

Observation c0a9ab5b-fc46-48df-8f14-d329907d9277 · outbound

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

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Attt2m: Text-driven hu- man motion generation with multi-perspective attention mechanism,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:18.090613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:05:15.756167Z digest=sha256:a0c0b6bcde55057f8b5c3db5032ae06322d2dbe3112904c75bb4510949beb203

Observation 055f5fa3-5f19-4b89-a492-68e73ae5102a · outbound

This paper cites MMM: Generative Masked Motion Model.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction MMM: Generative Masked Motion Model

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:05:17.715917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:05:15.847604Z digest=sha256:26826e3d771a10e8960730a50d7dbc6c007df9d417e242797c18b67f7034ee8a

Observation a4e9c966-4bcd-4944-b874-7a483f1cdcbe · outbound

This paper cites Moconvq: Uni- fied physics-based motion control via scalable discrete representations,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Moconvq: Uni- fied physics-based motion control via scalable discrete representations,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:17.984295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:05:15.969431Z digest=sha256:6108e34e7ef38e82078a89fdf51284f37dc71f36a47fb8bc87a75140d55054f9

Observation b243e724-8277-4e80-93f9-753598e74f61 · outbound

This paper cites Ase: Large- scale reusable adversarial skill embeddings for physically simulated characters,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Ase: Large- scale reusable adversarial skill embeddings for physically simulated characters,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:17.967875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:05:16.055440Z digest=sha256:4cc518a385050d1b8937ccd98159f2c519894aa5438d4fd2d17bb5911acda1e8

Observation 6d24086d-83a4-4ddf-bbcf-9c0a31518d10 · outbound

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

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Physdiff: Physics- guided human motion diffusion model,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:17.955358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:05:16.121121Z digest=sha256:af01a0c847886a169c0485607276e4e0d35bdaaadec2524e0f0232d611d863ea

Observation 62d35948-5884-4b99-9db5-ac013c4f16ac · outbound

This paper cites Posescript: Linking 3d human poses and natural language,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Posescript: Linking 3d human poses and natural language,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:17.943978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:05:16.207010Z digest=sha256:6d04f79b4054b0fc4f97221985e9cc467fe9c0ae1b78ab84f1bf1dddcc8864ae

Observation 1d66729d-b5be-4962-b006-beb616118d49 · outbound

This paper cites CoMo: Controllable Motion Generation through Language Guided Pose Code Editing.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction CoMo: Controllable Motion Generation through Language Guided Pose Code Editing

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:05:17.702272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:05:16.269616Z digest=sha256:50aeb70f30e26c031917fc9d9cecd16d3e092732b1307d5f8242adf364cd1870

Observation 1241cb61-694b-455c-82fd-f80a4eab5455 · outbound

This paper cites Fg-t2m++: Llms-augmented fine-grained text driven human motion generation,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Fg-t2m++: Llms-augmented fine-grained text driven human motion generation,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:17.928491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:05:16.347230Z digest=sha256:e3a9dc6c10a08a73a6d032558abb712530e2e695145c640b9cf917d8d12d8537

Observation 56fbe260-2da6-4d82-8cf6-c244db4d3ba7 · outbound

This paper cites High- resolution image synthesis with latent diffusion models,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction High- resolution image synthesis with latent diffusion models,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:17.914079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:05:16.421532Z digest=sha256:fb00f90951f6e23bbe7e935d23fbc3acc890b22161ce704e7efa639651410694

Observation aefecad9-0e9f-42fb-ba65-deb36f6a3680 · outbound

This paper cites Text-to-motion retrieval: Towards joint understanding of human motion data and natural language,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Text-to-motion retrieval: Towards joint understanding of human motion data and natural language,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:17.903135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:05:16.498594Z digest=sha256:3ca1c098a28c50f3085e03d47e5e5a83aef3c7975dd7187ce13518a9c2cd5e19

Observation 3baa55f0-78cb-4764-b955-e175319255f3 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Learning transferable visual models from natural language supervision,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:17.889886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:05:16.591242Z digest=sha256:eb4a7d74106b55f366cfc660a4a660019ce4ba4936022d689c0a7c2cc2e33d01

Observation ecdb8c73-efe0-4009-a52e-e80895690647 · outbound

This paper cites Attention is all you need,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Attention is all you need,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:17.873879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:05:16.710754Z digest=sha256:b828e342c0f1b69d63b64a4c4d9a37a105d5ba7e370b6ec43fdb8355ca74171a

Observation 428a3448-992a-4d3d-9319-d062f654bc37 · outbound

This paper cites TMR: Text-to-motion re- trieval using contrastive 3D human motion synthesis,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction TMR: Text-to-motion re- trieval using contrastive 3D human motion synthesis,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:17.862185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:05:16.783339Z digest=sha256:10b74911279f8933c01705c5847b90318eaf05ab474d5ef147b6da969fe39b55

Observation d3f87205-782d-404c-8930-da7a0843bacc · outbound

This paper cites Fine-grained semantically aligned vision-language pre- training,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Fine-grained semantically aligned vision-language pre- training,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:17.849199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:05:16.796067Z digest=sha256:c5f6731b3876c11c49240605efd0f5d55dbad2ad54719b0cfd3575361191f2a9

Observation 0042f53a-d7ec-4815-9d60-bf49c50a2c53 · outbound

This paper cites Random shap- ley forests: cooperative game-based random forests with consistency,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Random shap- ley forests: cooperative game-based random forests with consistency,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:17.836973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:05:16.873276Z digest=sha256:10f68f1f3c0b660be2f8f81538b0036e1153029b411f920fda54ec83cbbee542

Observation f880c27c-27bd-4832-9f51-5ffb06b0122e · outbound

This paper cites TG-VQA: Ternary Game of Video Question Answering.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction TG-VQA: Ternary Game of Video Question Answering

Reference 57

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:05:17.688234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:05:16.974524Z digest=sha256:2c8c6dd03cc9b1e8c8f540732a3865dce1b7c1ec80abaab93d9f62e53d44c4a5

Observation 2a43ced9-e990-4c8c-bc27-4083c869b55f · outbound

This paper cites Weighted banzhaf power and inter- action indexes through weighted approximations of games,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Weighted banzhaf power and inter- action indexes through weighted approximations of games,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:17.827384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:05:17.084340Z digest=sha256:0d9221de51f787ab625a2bbe69ee299aac654aaba6165317b500e4334ea5c9e3

Observation ae19982a-ab71-498a-9aeb-6431fa57444b · outbound

This paper cites Video-text as game players: Hierarchical banzhaf interaction for cross- modal representation learning,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Video-text as game players: Hierarchical banzhaf interaction for cross- modal representation learning,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:17.816932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:05:17.209160Z digest=sha256:47cc63bd5a8dec524b67b64d355bba44e46be8675df81d80a43878469891cf90

Observation 58dbcbc6-cc10-4f25-bf97-650d404c0aed · outbound

This paper cites An axiomatic approach to the concept of interaction among players in cooperative games,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction An axiomatic approach to the concept of interaction among players in cooperative games,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:17.806647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:05:17.363449Z digest=sha256:32897c70ab2ea5553d9a678beb89c6f5fde9e7345619351f8c5058db6427e80c

Observation 7573f23f-9cd8-4b31-a928-c4dcda7d8944 · outbound

This paper cites Denoising diffusion probabilistic models,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Denoising diffusion probabilistic models,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:17.797084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:05:17.516014Z digest=sha256:5bc6bd59a25807c1935fe00952e919977618f0d64195e1fdbba460bfbe4ddadf

Observation b185ea9e-390e-4ab8-9f77-09ffe117ec18 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Representation Learning with Contrastive Predictive Coding

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-06T19:05:17.587570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:05:17.587570Z digest=sha256:c4478f9476a5694f63104fca631dd8ecdad1ac983dd24ced70d8a969cc3f79a0

Observation 316c5d5d-1418-4c78-962a-65306ef9c8d5 · outbound

This paper cites Classifier-Free Diffusion Guidance.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Classifier-Free Diffusion Guidance

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-06T19:05:17.591745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:05:17.591745Z digest=sha256:894f06cf01e922c4316f88ba60f18e182be1fea77452859aef8137c30c969ee5

Observation c0a0af57-b7f5-478c-99b7-edf5c8dc5bc1 · outbound

This paper cites Efficient attention: Attention with linear complexities,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Efficient attention: Attention with linear complexities,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:17.787224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:05:17.595479Z digest=sha256:f4d4a6b99eff265ed1bed6a63047a1da116a6ef7c72a356eef70fda400eee8de

Observation 14a29102-65e0-460b-9132-4c08196fd576 · outbound

This paper cites Amass: Archive of motion capture as surface shapes,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Amass: Archive of motion capture as surface shapes,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:17.777364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:05:17.599083Z digest=sha256:ef3c841f09967163f19eee1b2c33c68de4c19db09229654adbd965c91b1448b5

Observation 56ec4982-1186-4300-bebd-055c22bf0d29 · outbound

This paper cites Finemogen: Fine-grained spatio-temporal motion generation and editing,.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction Finemogen: Fine-grained spatio-temporal motion generation and editing,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:17.767147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:05:17.602314Z digest=sha256:85cb41ebba091031e92dee6cf6a6cb385134fd431a12c16cf92a44db138bb6c4

Observation ca5481eb-bacb-49ec-bf30-869238a627ac · outbound

This paper cites AvatarGPT: All-in-One Framework for Motion Understanding, Planning, Generation and Beyond.

MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction AvatarGPT: All-in-One Framework for Motion Understanding, Planning, Generation and Beyond

Reference 67

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:05:17.648713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T19:05:17.605587Z digest=sha256:4f4c3dca4f0d423b3c885d292f4a1ac34d6b3d4bd53034b8ef3b63f61ddb5005

Pith citing papers

No inbound Pith citation observations are available.