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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:11.367394Z digest=sha256:861a6d0c11923f3c145b9b4f1ccb2962c8efebc2e6b7f7f7483e25fcc5c06888

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
raw_fallback, observed 2026-08-06T19:05:18.710887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:11.402658Z digest=sha256:b3be54d400d071078e691abedb39544151788d6fd4ae3d97fcaa220a319aae06

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:11.494016Z digest=sha256:7a2d1b86eeb90fdad919ef43479248ac641c6f8625288a73495084691580d335

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:11.573804Z digest=sha256:475e8f503416bdb69a54b28c32afbcc4b048546359197a24a365860bf7ba9d69

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:11.659462Z digest=sha256:e8f9d511069b138ed0ad88f739e6c6a39e85a1f11d09de337691433bcf594d82

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:11.745885Z digest=sha256:a8aea94495e36dcde3acf311f3906ab7803b7eb2e5ebd8ea9fa374944efac4c0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:11.818284Z digest=sha256:1dcc01c98a8e88eda116000228539c4d2d5fa2763f3624b570bded482f1d5583

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:11.910346Z digest=sha256:219dcdb75a3bf4a14f4f9f148163ddf863e52128469ed7dde4bcb99d3f4fcd6c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:11.966936Z digest=sha256:3677662b7675b28089152df40434c5a59db28b2ccc2966978725fb963753d089

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:12.089034Z digest=sha256:9a42fc34177a5fef1ffc2d871640c78eed3c31a65c81465a78cdc6b5833aa8f5

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:12.215934Z digest=sha256:32bd45ac2be7492159a38599342bf979e985459be70e1415901874025d4c1f04

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:12.338432Z digest=sha256:c4cf5ab0f39d381748cefa13982c3807a1bcf723b26511973cd6882f2cd9dbf4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:12.466698Z digest=sha256:27ae8e66b06c9c4631bbf05c3badfb8e64796bc2b73b4675751bb8675a146fa6

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:12.595553Z digest=sha256:8b40b3ca6681903e9e74c045d4bce1ddbdb14500fe9e9c303ca37650798ff19e

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=sha256:91f61217c0d1845a158e2c7add2420fe14bed19c01013e0bd14c36e6679c3b42

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:a6883f8be24de7e09692e2d478afc63cc1f67c62544ace1e1010524b74a6caf5

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:12.976966Z digest=sha256:78d465837b2864c29a4d85ec2f94733fb243735d84df2dfd68b26f8ac85a8838

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:13.129269Z digest=sha256:ec8209f7c1374d40c55ce0a09ea9015e6ae3f89d9a3253e153b1850da0360fb1

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:13.312685Z digest=sha256:94577d88f73153ef8f34a1d361085b3ba2535f82cbb86d0f7f5092f8969483cd

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:13.487879Z digest=sha256:3fce65056f97392a1b7200b31afa7ab4c5b97e08ee0d1a4337ba88cf5cdfe177

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:13.663363Z digest=sha256:7fab3b89686121423e9f435fcbaab670d3ee8836d883c61f3f80c4ee8decaf46

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:13.861972Z digest=sha256:f665c83faaacc0fe8da572cbbde8b2f11086764589deefd2b4a0b779efd2d9e5

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:14.064407Z digest=sha256:b8938328cabd9c1f1197fb6fbf1e5bd1e4b84a65315eb06c8af32457f507e730

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:14.312204Z digest=sha256:42476a5d0e61a74d81a093e0bcc24badbf0c2f2349623bc3560439531c2caedc

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:14.529872Z digest=sha256:f9b1cd26d6564ddad3d05d6db2177afdd883cff5fe8ddcb6007cd20971e2c55a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:14.667842Z digest=sha256:2c37ddd2a30cb91b21ec720114bbc7033e547c79c418df39276d23e4d14e9fd4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:14.757232Z digest=sha256:4f440e4fe593318d7330f9a04c1c2628d0eb286491dab12d83a2b2da256a365c

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=sha256:8276fbae17c9cc0b207546472ae370647a365442ff54c8558b19d66bfa75f04b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:14.957867Z digest=sha256:5f085bafe60e9a7102b1982b42b1b17676be77376a2ccdc59b3307a372511947

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:15.014882Z digest=sha256:f8fffc2ea83011184c7181e571a0e47f1c8cfddc04a45f01d772546c7749c0c8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:15.102847Z digest=sha256:133bbba11c92b5c4fb0f9e86c0aeb569fcc7caac69f94560e8c0a8837f8829f7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:15.201528Z digest=sha256:53bac7a3c026c52aef6b0f0e305d92d89134a873906e7dc702d499cf96aa2747

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:15.271245Z digest=sha256:5e76317c9ff47f44b7d2ad770afe2c540069235e3bbbd9913c79cce574a89da2

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:15.382608Z digest=sha256:ee389502125b2c13f42ff68c985b17bfda98c0e1d4a6cfe18f99350dfb5d2368

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:15.466621Z digest=sha256:fbb474fcad0342d4f44495ed3dca8e6b283356cff8aff90dba77a8b9b78b51be

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:c258f7da23001d62f45cc8e9869e8c3f93d4862ec56532c90633570406f17794

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:15.665731Z digest=sha256:c9fb54fa9c0b242d1ca884f378cb35c0f8535772124e7cd13310a534108b79bb

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:15.756167Z digest=sha256:8b29ce58e5c4c10e965999479f26022dace7fe498c50f5bf4c7e3cadd6b1ffc1

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:15.847604Z digest=sha256:eb104dd6671a84bb5c15401f5f84a085e45c1e18a0c7c048dba4d9a587123a23

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:15.969431Z digest=sha256:cad86a31c0f4f1837a9b0197802d20e1c271a8ca2c7fdc8269d32aba26b37a5e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:16.055440Z digest=sha256:1ae9eda704891b5aab2486ad1338d9c656b9a190a3fabd88c5ad2054f3abcb9a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:16.121121Z digest=sha256:09baf8bb1e6bb92da472396369062fe39684c869ceb0b7575863ba8750be2ede

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:16.207010Z digest=sha256:c1802917bf5df11e0f953c14e835dc1ca01e33725a6474925f70cc73c773fad8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:16.269616Z digest=sha256:0d8d3669588c0546e27dabbee2508167bbac782f2fa110e64ca265f4440e0778

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:16.347230Z digest=sha256:76503c9f83f70a6fa7b8302b44b9a935bb710938ab0310309f5b790114140d00

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:16.421532Z digest=sha256:365da3ef2a519b183eb23e670e2b839f9ff666b9b8838ebc0c1f5d57d60ef6cf

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:16.498594Z digest=sha256:effff2edc4e5b1a04c370c108f5e6e87ad8aa8c4216e8b96f32278511d864fb1

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:16.591242Z digest=sha256:ab86cde13d84d9861c4960c1a12628cbdfe4c6a6da5188e794ab29d7ff1fac0f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:16.710754Z digest=sha256:d6d484a2e976b3f545801e9f221b0c0e13d499a1f6ca1edd7f0ea22655434c93

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:16.783339Z digest=sha256:faf27b2e8a6343904149d75e8e20d26538b382ec5eb10afebf6f79f3a7508857

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:16.796067Z digest=sha256:3115917847d01fdf1bce516153f193e174b8e190a5ba19d86990ed4d34bbac77

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:16.873276Z digest=sha256:70aeb5b90b9a6d6cfa279b0a1dc172eb7a91b5dda73b50beaa7e30ecf62b7de2

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:16.974524Z digest=sha256:89490fe183c5285c5c6a86f7a6ec5927e00090dbe9428e42db13cae9e389e2e2

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:17.084340Z digest=sha256:a41a9be77b98a01cd0f681a2020bcc8328f29c4e87d3032e6cf68ccd0f57cc36

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:17.209160Z digest=sha256:b72c158e02a69865b103f2ee9212bcb016a2093acb834053e6a7cf83c16440cc

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:17.363449Z digest=sha256:604555dd37d0d0046ababcd310fadb0552601cf6645f428487b1afe5f2456398

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:17.516014Z digest=sha256:ec38053e8678147ca74cb5b627420740ff43660a3eac3ecf4308de745d693970

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=sha256:42a69cbe0bf1809dcd3ec50f59fe4d1e3f85a8a995510825a1ec69229d487e78

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=sha256:2ea5009703e0f84623abe9378d2f5c925f25da60fd3bb3e756188b1ba67e23c0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:17.595479Z digest=sha256:c4959da8e6cab55afe9bb1af82aa31d410b8634e1d84f6a82bfde7dc2dd34c3b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:17.599083Z digest=sha256:b876c2a178145178c5e28f6405c8410a4e63512846eb1d87c35b83c59c7a8d1d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:17.602314Z digest=sha256:b792fbeed20a890d66e443b52125a6d6e4e7e29157fa15bf5a7753d4ee1e7cf5

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:17.605587Z digest=sha256:5419154ad6d17ceb9de4aaf530c4f98075905e6d98d460c6c0620c4beecdb8f2

Pith citing papers

No inbound Pith citation observations are available.