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Paper Citation Record · LEDGER

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation

As of 18 August 2026, this Paper Citation Record lists 76 of 76 outbound references and 0 inbound Pith citation observations for arXiv:2607.24359.

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

pith.paper-citation-record.v1
2607.24359 v1

Coverage vector

measured 76 of 76 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T17:08:15.828466Z

measured 76 of 76 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

76 of 76 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved76
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation afbb5a84-d57c-4c63-b9eb-11b440baf5be · outbound

This paper cites LTX-Video: Realtime Video Latent Diffusion.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation LTX-Video: Realtime Video Latent Diffusion

Reference 1

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source=arxiv_source observed=2026-07-31T17:08:10.808518Z digest=sha256:05f6788a5b443be720f59819506af679d69ef3a068e6fa7dfa57cc54539cf27d

Observation 1741ac06-1e44-4a9c-b772-d25581ce2933 · outbound

This paper cites LTX-2: Efficient Joint Audio-Visual Foundation Model.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation LTX-2: Efficient Joint Audio-Visual Foundation Model

Reference 2

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source=arxiv_source observed=2026-07-31T17:08:10.869402Z digest=sha256:828413b140ca371524eed6a4783c3b8818fc28f4d8a57de44841e73b09fd1e30

Observation 0cf3ad71-e6e9-42ab-8c86-23e14ed958af · outbound

This paper cites arXiv preprint arXiv:2602.19163 , year=.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation arXiv preprint arXiv:2602.19163 , year=

Reference 3

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source=arxiv_source observed=2026-07-31T17:08:10.962028Z digest=sha256:ad0201eb98bb58805a05a5d01c05ee36fb196f3c9f4b706c8e59be13db8b03c9

Observation fde1708e-8ba1-4017-a235-bf00af4b78cc · outbound

This paper cites Ovi: Twin Backbone Cross-Modal Fusion for Audio-Video Generation.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation Ovi: Twin Backbone Cross-Modal Fusion for Audio-Video Generation

Reference 4

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source=arxiv_source observed=2026-07-31T17:08:11.055148Z digest=sha256:a8b9d09c335bd375d47ae1e95d31b21534d694e73a55b2390fad923172c330b6

Observation 6446311b-761f-4a01-a7d6-a5a2b22d0b70 · outbound

This paper cites arXiv preprint arXiv:2602.08794 , year=.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation arXiv preprint arXiv:2602.08794 , year=

Reference 5

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source=arxiv_source observed=2026-07-31T17:08:11.138902Z digest=sha256:ce37c41fe7872569e16f612972144a1669d5266e11dd94829f9cae15e95f9106

Observation 1683a06b-e2c7-4425-8576-8e81b46a80be · outbound

This paper cites Synchformer: Efficient Synchronization from Sparse Cues.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation Synchformer: Efficient Synchronization from Sparse Cues

Reference 6

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source=arxiv_source observed=2026-07-31T17:08:11.199202Z digest=sha256:77a22e189f97dcf2cb1ab4830af4b2fce82322ec46e919a35a6b34495c308a5e

Observation c95b299b-c5c2-40ce-a8b2-630aaa13ac01 · outbound

This paper cites Qwen2.5-Omni Technical Report.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation Qwen2.5-Omni Technical Report

Reference 7

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source=arxiv_source observed=2026-07-31T17:08:11.295916Z digest=sha256:b0bcdf117ac853446a3278f32d05220f77459f0e9fb53c5b6267866b4583c4bb

Observation f3234e59-a1b2-4445-9564-286c13ffc4a2 · outbound

This paper cites MaineCoon: Pursuing A Real-Time Audio-Visual Social World Model.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation MaineCoon: Pursuing A Real-Time Audio-Visual Social World Model

Reference 8

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source=arxiv_source observed=2026-07-31T17:08:11.387051Z digest=sha256:e918b788366773bd421bc3da90b2837980f2dc09e8dd925a4e71f6ce4cbfa9d3

Observation 9d854e0a-7873-497d-a516-2e0dca68bb2f · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation Advances in Neural Information Processing Systems , volume=

Reference 9

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source=arxiv_source observed=2026-07-31T17:08:11.478913Z digest=sha256:95c11c767d28f18f47ebb5b12f3738261445c92bf232ac8dbbd92e163e67d498

Observation a98bc362-28ea-4dfa-a940-05723b969c4a · outbound

This paper cites Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation

Reference 10

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source=arxiv_source observed=2026-07-31T17:08:11.567184Z digest=sha256:daf7fa19b43e97b3241e66b8e4465a0d86175db58221b1e66709ea5b9a72f313

Observation 8cbe9111-a429-44bd-9408-8e140c0c33b2 · outbound

This paper cites Live Avatar: Streaming Real-time Audio-Driven Avatar Generation with Infinite Length.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation Live Avatar: Streaming Real-time Audio-Driven Avatar Generation with Infinite Length

Reference 11

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source=arxiv_source observed=2026-07-31T17:08:11.655887Z digest=sha256:6e26cca723281bbc4eb173ce0f2c5c9530ad159454e6780250dff3a3e735b16c

Observation 2970e68b-c85d-4f14-bbe3-0cfff9069dd8 · outbound

This paper cites OmniAvatar: Efficient Audio-Driven Avatar Video Generation with Adaptive Body Animation.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation OmniAvatar: Efficient Audio-Driven Avatar Video Generation with Adaptive Body Animation

Reference 12

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source=arxiv_source observed=2026-07-31T17:08:11.760995Z digest=sha256:0c6598e923652f54e523292687762ccff940ea68b9597aa1dc0f0ae10a5d3bfc

Observation 94d852de-3e98-4137-a7e8-b664b39ce114 · outbound

This paper cites StableAvatar: Infinite-Length Audio-Driven Avatar Video Generation.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation StableAvatar: Infinite-Length Audio-Driven Avatar Video Generation

Reference 13

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source=arxiv_source observed=2026-07-31T17:08:11.848419Z digest=sha256:dca1b3ca25a36dfe98cafc8b42d64154eba40e89adcbfc3b4bae95e2e390f2f4

Observation 32ba9d0c-e283-4059-9009-9515cc4f2452 · outbound

This paper cites Wan-S2V: Audio-Driven Cinematic Video Generation.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation Wan-S2V: Audio-Driven Cinematic Video Generation

Reference 14

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source=arxiv_source observed=2026-07-31T17:08:11.944416Z digest=sha256:c0cd90f55e1dd10115707930dd573d69bbc95f6c0efa293b8a83ba4a5fb63750

Observation ba60275e-8ed0-41a6-a7e6-b21d7d08d97b · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 15

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source=arxiv_source observed=2026-07-31T17:08:12.038694Z digest=sha256:608097381e4bf2a914642439094ac8934e8cbe6b92ee463be643448ede1e21f7

Observation b7c802f1-d650-4f64-b997-0d9132117e33 · outbound

This paper cites International Conference on Learning Representations , year=.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation International Conference on Learning Representations , year=

Reference 16

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source=arxiv_source observed=2026-07-31T17:08:12.103154Z digest=sha256:3cc014e955d0d21348139ffba543cb7231a1dfd2a06223144696dadedca40c03

Observation e42f82a0-7c1b-4847-86b9-c1aef82eee3d · outbound

This paper cites LongLive-2.0: An NVFP4 Parallel Infrastructure for Long Video Generation.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation LongLive-2.0: An NVFP4 Parallel Infrastructure for Long Video Generation

Reference 17

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source=arxiv_source observed=2026-07-31T17:08:12.197184Z digest=sha256:3593a55e65eeb66a57d820b4afd5b629b3f02b02c6f1cb25a27b6af1b4414654

Observation c5b24e07-50b4-45b5-83b0-022cd6e8aa5b · outbound

This paper cites Mutual Forcing: Dual-Mode Self-Evolution for Fast Autoregressive Audio-Video Character Generation.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation Mutual Forcing: Dual-Mode Self-Evolution for Fast Autoregressive Audio-Video Character Generation

Reference 18

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source=arxiv_source observed=2026-07-31T17:08:12.280455Z digest=sha256:b78fad04e154b2f98260929007e950776e30faae304dc2be85432814c1b495cd

Observation 5ad092f6-2c7a-4014-9130-152565f70652 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 19

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source=arxiv_source observed=2026-07-31T17:08:12.372593Z digest=sha256:72c5c215d6dc71c8d1262b2cf2a8638e4c7a13891aa06e426c3686f217866aa2

Observation 969ed58c-104b-4902-ab14-fc3ec4745a3c · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation Advances in Neural Information Processing Systems , volume=

Reference 20

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source=arxiv_source observed=2026-07-31T17:08:12.435582Z digest=sha256:409087c32c61bc46ae00821dfe2023b8ff42442b3522240d036e31f0c614660d

Observation 9336be64-adaf-4330-b14b-2d8a0cb4a365 · outbound

This paper cites TetherCache: Stabilizing Autoregressive Long-Form Video Generation with Gated Recall and Trusted Alignment.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation TetherCache: Stabilizing Autoregressive Long-Form Video Generation with Gated Recall and Trusted Alignment

Reference 21

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source=arxiv_source observed=2026-07-31T17:08:12.523137Z digest=sha256:eeed1d0d4cf8d8d9d2b9910e1ab94866a6c77a9376abe6d7d47a8827a0c4fdab

Observation 14635ca1-3bc5-4145-9181-a50b32ccc305 · outbound

This paper cites Pyramid Forcing: Head-Aware Pyramid KV Cache Policy for High-Quality Long Video Generation.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation Pyramid Forcing: Head-Aware Pyramid KV Cache Policy for High-Quality Long Video Generation

Reference 22

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source=arxiv_source observed=2026-07-31T17:08:12.587978Z digest=sha256:22788449c9106bbabd872750c9c9a58f347dcd8690f20c0099354490aa121783

Observation 13e85bc7-ba70-424c-ad9f-c4ba0b0418ef · outbound

This paper cites Sparse Forcing: Native Trainable Sparse Attention for Real-time Autoregressive Diffusion Video Generation.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation Sparse Forcing: Native Trainable Sparse Attention for Real-time Autoregressive Diffusion Video Generation

Reference 23

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source=arxiv_source observed=2026-07-31T17:08:12.670011Z digest=sha256:f24388315a3c192405ac75aff442ce105d6cc347e11d04726d8a220236cd315c

Observation 3c797104-23ac-4f2d-8747-6bb3179068d2 · outbound

This paper cites Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model

Reference 24

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source=arxiv_source observed=2026-07-31T17:08:12.727266Z digest=sha256:7785d29428a129201d3259650ba749e1f45aef57603934cf60e4ddeb349044b9

Observation 8d685791-6f11-4d7f-b643-05cd01129072 · outbound

This paper cites arXiv preprint arXiv:2512.04519 , year=.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation arXiv preprint arXiv:2512.04519 , year=

Reference 25

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source=arxiv_source observed=2026-07-31T17:08:12.782939Z digest=sha256:4a2bcb7d2934cda06abf5f9a47c8070a44fa96de4886490d9e6b8f2d934e40ba

Observation 214fb60f-9156-4e18-bb12-13843a73bc59 · outbound

This paper cites AdaState: Self-Evolving Anchors for Streaming Video Generation.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation AdaState: Self-Evolving Anchors for Streaming Video Generation

Reference 26

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source=arxiv_source observed=2026-07-31T17:08:12.844794Z digest=sha256:c4af7358bb56f6d40a6d77dfdbc69eba3426a28971f9b7d99d0b8f24af5af248

Observation 5d0b9a4f-ec0a-4791-9c46-bb643a2315a5 · outbound

This paper cites SlotMemory: Object-Centric KV Memory for Streaming Long-Video Generation.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation SlotMemory: Object-Centric KV Memory for Streaming Long-Video Generation

Reference 27

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source=arxiv_source observed=2026-07-31T17:08:12.899743Z digest=sha256:715e74bf169a5e7bb46dabb7352aba68ed05eb2b3f1d6a76002bc144360da2a4

Observation eabd918d-e32d-4721-9662-e7b74d19ccf2 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , year=.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , year=

Reference 28

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source=arxiv_source observed=2026-07-31T17:08:12.967550Z digest=sha256:3baab7087073d6c61aee85b3114a26a1890dbf1a05cf68856c669beb54d44980

Observation ef55d9fa-8106-4515-accb-5d0137222c4e · outbound

This paper cites Proceedings of the 28th ACM International Conference on Multimedia , pages=.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation Proceedings of the 28th ACM International Conference on Multimedia , pages=

Reference 29

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source=arxiv_source observed=2026-07-31T17:08:13.016996Z digest=sha256:d2b6b49c99c061f820873626c56bdc998bc3e2b6083e6b03e4cb6f61f8316b9d

Observation d2626c8f-4b28-4f3f-a628-d2e5f689ba9f · outbound

This paper cites Proceedings of the 40th International Conference on Machine Learning , series=.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation Proceedings of the 40th International Conference on Machine Learning , series=

Reference 30

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source=arxiv_source observed=2026-07-31T17:08:13.100670Z digest=sha256:9de6a93b931776590aa0df40e713734ee7a1e759ed35fad71c2bfcbbdc250008

Observation a2c90bb7-d6b4-44a4-9ab7-ee7ec9730bc1 · outbound

This paper cites ArcFace: Additive Angular Margin Loss for Deep Face Recognition.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation ArcFace: Additive Angular Margin Loss for Deep Face Recognition

Reference 31

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source=arxiv_source observed=2026-07-31T17:08:13.153011Z digest=sha256:89e09c42a79c7ed527ebc248481c5a29a28f725ae506e36d17a9614b8df03ac9

Observation 3fed45d5-2d6d-4725-9780-e02633328580 · outbound

This paper cites Advances in Neural Information Processing Systems , pages=.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation Advances in Neural Information Processing Systems , pages=

Reference 32

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source=arxiv_source observed=2026-07-31T17:08:13.244276Z digest=sha256:389b7a8ac2807be107776c0ab65a92f2fb73e72b7a7bc4daa153d171fd1d85e2

Observation fd6ec734-6d05-464c-a05b-bc4c20568f8b · outbound

This paper cites International Conference on Learning Representations , year=.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation International Conference on Learning Representations , year=

Reference 33

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source=arxiv_source observed=2026-07-31T17:08:13.301353Z digest=sha256:b132b1085a501ab10a13fa78315ddb927d199c27eff88011fb6fad82cc18eaac

Observation 33f72676-20b4-466d-b694-0ac571805571 · outbound

This paper cites Classifier-Free Diffusion Guidance.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation Classifier-Free Diffusion Guidance

Reference 34

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source=arxiv_source observed=2026-07-31T17:08:13.357124Z digest=sha256:e63b33af1e3beef0617c07cec5b9844fd057a814b0486754ef43faef788f6982

Observation cc6d6edf-ab42-46fe-af1f-d6cfa97a1846 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 35

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source=arxiv_source observed=2026-07-31T17:08:13.411709Z digest=sha256:f42d1b42675a90c287512c09747259867f29f1fe74ffa6f72e756b00892e6021

Observation 38fad70c-57a7-4f2c-a5dd-14614c8fd6e3 · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=

Reference 36

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source=arxiv_source observed=2026-07-31T17:08:13.471060Z digest=sha256:6b275bf09437e2b1e3c0f609dd0f1b36ca75be89b1b71ca240a9ef041a1e8f29

Observation 158643de-393f-4bb6-930c-47e72f9941e3 · outbound

This paper cites Imagen Video: High Definition Video Generation with Diffusion Models.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation Imagen Video: High Definition Video Generation with Diffusion Models

Reference 37

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source=arxiv_source observed=2026-07-31T17:08:13.522654Z digest=sha256:99dabbfded97a7f969a0e71daf89a22e1f237d4545c1fdb135c697d70c53f11f

Observation fb014591-8e1f-4ccb-a82b-b18656cd1236 · outbound

This paper cites Make-A-Video: Text-to-Video Generation without Text-Video Data.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation Make-A-Video: Text-to-Video Generation without Text-Video Data

Reference 38

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source=arxiv_source observed=2026-07-31T17:08:13.605014Z digest=sha256:d85be1eb54664e7de0a6887f551bdb986b77a746a10aac1f1ea7b59f3d8940bf

Observation c288be8b-09f6-4e70-bd35-7d81c824385a · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 39

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source=arxiv_source observed=2026-07-31T17:08:13.664811Z digest=sha256:93e2015abcfadca85dbc6549b26e7e486de15ff569f6610bb3dc6f6b7c35aa9d

Observation 62912e6a-219e-4fa3-9f30-cb9e727ba0a8 · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 40

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source=arxiv_source observed=2026-07-31T17:08:13.725418Z digest=sha256:7f2384edac8f51d21eb3a47adf610492510330b627922660a0a2be07fce77a05

Observation 8f5ade65-db20-449f-be8e-2005c6be44d5 · outbound

This paper cites AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning

Reference 41

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source=arxiv_source observed=2026-07-31T17:08:13.765393Z digest=sha256:cfc1e1790c940f032b36f1310e02b5bc62ea729b2b697b12241578451ed0fece

Observation 57efef5a-3e34-4d59-8684-9d2da48cd22b · outbound

This paper cites VideoPoet: A Large Language Model for Zero-Shot Video Generation.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation VideoPoet: A Large Language Model for Zero-Shot Video Generation

Reference 42

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source=arxiv_source observed=2026-07-31T17:08:13.802617Z digest=sha256:f6cc39ed84caa80ec1daee53f98263d59a1b9d58876859d672d40ce0a20318fc

Observation 28e0d6b0-0160-4cc8-adfc-3189137aef7c · outbound

This paper cites ACM Transactions on Graphics , volume=.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation ACM Transactions on Graphics , volume=

Reference 43

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source=arxiv_source observed=2026-07-31T17:08:13.859653Z digest=sha256:a31dd4749b0168dbda32a39a1dc4b28fc440ee4d195f48916d97538eb6eaa1a5

Observation d3eb3a28-80fe-4047-a2d1-eb4d657bba8b · outbound

This paper cites Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence , pages=.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence , pages=

Reference 44

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source=arxiv_source observed=2026-07-31T17:08:13.943297Z digest=sha256:352df9fc256e3829a1ee954e40cff5d819d139e018bf528f50788836364e0337

Observation 39034f06-c57f-41b0-ba98-3c6b907e03ad · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 45

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source=arxiv_source observed=2026-07-31T17:08:13.995052Z digest=sha256:a92e71da186e40165c93ff514abf20b264d661a1b0541eba55f38aae6bc7adf1

Observation a59eb5c0-319c-4df9-8202-3fea8b1d27a5 · outbound

This paper cites International Conference on Learning Representations , year=.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation International Conference on Learning Representations , year=

Reference 46

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source=arxiv_source observed=2026-07-31T17:08:14.053608Z digest=sha256:101d47f3fc127d50626d3a05a5802aced44aa719c743e699b166d2f82fad6dac

Observation 696a6b74-0607-412a-b5b0-303a1c67cdcf · outbound

This paper cites European Conference on Computer Vision , pages=.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation European Conference on Computer Vision , pages=

Reference 47

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source=arxiv_source observed=2026-07-31T17:08:14.139431Z digest=sha256:25567e1243d9e57d42eea95592a286dde6ef15591f4b57e76fe45732889330db

Observation 44928e9b-9bca-4652-8a70-7e1e460e7b88 · outbound

This paper cites Hallo: Hierarchical Audio-Driven Visual Synthesis for Portrait Image Animation.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation Hallo: Hierarchical Audio-Driven Visual Synthesis for Portrait Image Animation

Reference 48

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source=arxiv_source observed=2026-07-31T17:08:14.198579Z digest=sha256:c1e296c27eedcf25a1a0cdbdd1622e3f0212bd5409325adf7aefae430517e427

Observation fcc72d5f-8e9e-4700-8344-c6ab3b19a06b · outbound

This paper cites LivePortrait: Efficient Portrait Animation with Stitching and Retargeting Control.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation LivePortrait: Efficient Portrait Animation with Stitching and Retargeting Control

Reference 49

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source=arxiv_source observed=2026-07-31T17:08:14.281071Z digest=sha256:63df6a2e931a5bb6fcc83f66380331dcd44bf84dc139e4202647ba7ab7d58bdb

Observation 7bd2b3da-79ff-48ac-a61c-90b4067dbe94 · outbound

This paper cites MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model

Reference 50

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source=arxiv_source observed=2026-07-31T17:08:14.342198Z digest=sha256:8ceb3d3206de845f7d9f47fc9c6bc6fa388f8845e9e366506b1ba6e243c1dd5d

Observation 144e5950-b87e-45b4-a18e-60da0f12560b · outbound

This paper cites International Conference on Learning Representations , year=.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation International Conference on Learning Representations , year=

Reference 51

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source=arxiv_source observed=2026-07-31T17:08:14.424249Z digest=sha256:f7c2b1567e1d1edd9557be9336ea8d0a28d805422af0733448498e76295b9e41

Observation 8d9897c8-ad29-4522-8164-13b2a29f91cc · outbound

This paper cites Proceedings of the 40th International Conference on Machine Learning , series=.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation Proceedings of the 40th International Conference on Machine Learning , series=

Reference 52

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source=arxiv_source observed=2026-07-31T17:08:14.509114Z digest=sha256:ae08d3ef3147db33c2abce1317919952374bfd48e8731e83f27b0bac269f0be2

Observation eb67626c-c0a1-418e-803b-af9a605673a0 · outbound

This paper cites Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference

Reference 53

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source=arxiv_source observed=2026-07-31T17:08:14.596738Z digest=sha256:9e3119157debcb72dd6eb88607491cc29923ae178f2761ebe61b26d74ef27bbb

Observation 7c976c26-3e15-4d27-b276-893a417851c9 · outbound

This paper cites Advances in Neural Information Processing Systems , year=.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation Advances in Neural Information Processing Systems , year=

Reference 54

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source=arxiv_source observed=2026-07-31T17:08:14.680962Z digest=sha256:b2f9ff8d392b17c0d06b9e768d2874d00763ec6591ce7f29a085620fb3ff8963

Observation 690dacbe-11dd-4f70-9bc0-28aeeaff6d83 · outbound

This paper cites International Conference on Learning Representations , year=.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation International Conference on Learning Representations , year=

Reference 55

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source=arxiv_source observed=2026-07-31T17:08:14.741481Z digest=sha256:83271e105773aa76b2f9ce2a0261e0011b052ab0d7a8486ea05a85b5d891798e

Observation 1343a015-fd23-47ec-8711-1cbc8cbb3b92 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , year=.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , year=

Reference 56

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source=arxiv_source observed=2026-07-31T17:08:14.821993Z digest=sha256:3b16181313169571ebb1e632f3c8313cdb16daa16660beda36e89d4fe398d589

Observation ca1084b3-ff90-4ad8-8adb-b55ebd6bbdd3 · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision , year=.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation Proceedings of the IEEE/CVF International Conference on Computer Vision , year=

Reference 57

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source=arxiv_source observed=2026-07-31T17:08:14.880544Z digest=sha256:74b4613580e7ae23089df94515bdb1e52080608a2f04d0083eef4794d34ed92a

Observation a3018570-8433-4bce-8989-3c63211d1119 · outbound

This paper cites International Conference on Learning Representations , year=.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation International Conference on Learning Representations , year=

Reference 58

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source=arxiv_source observed=2026-07-31T17:08:14.963647Z digest=sha256:10ebcfef3ec71603e02bd96305c33c885727facb48d7a1a8e1c61041a960e916

Observation c7a00014-e39d-4c2f-a878-58ded9c74916 · outbound

This paper cites 2018 , url=.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation 2018 , url=

Reference 59

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source=arxiv_source observed=2026-07-31T17:08:15.045244Z digest=sha256:b2b866be8517289fa5149858fb8bbb26fa9da294cc293f919ae6cedb833a5040

Observation 57b36782-c065-43ec-aa86-0cac472cbf17 · outbound

This paper cites Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics , pages=.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics , pages=

Reference 60

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source=arxiv_source observed=2026-07-31T17:08:15.051983Z digest=sha256:4cefa0f106ed29ce4a6fd056a54ba2ac2594ab2df1877c2047400def2e7892c7

Observation 126236ac-f585-4b08-87ab-9165ebd3f312 · outbound

This paper cites International Conference on Learning Representations , year=.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation International Conference on Learning Representations , year=

Reference 61

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source=arxiv_source observed=2026-07-31T17:08:15.126294Z digest=sha256:92f0f518c4ef7b90406846532d8bd30c9f3d81b4f2e8a2c5348f43a6c19106a2

Observation 27ca6f38-980b-41ea-9b81-031a3d08c3ca · outbound

This paper cites International Conference on Learning Representations , year=.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation International Conference on Learning Representations , year=

Reference 62

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source=arxiv_source observed=2026-07-31T17:08:15.296373Z digest=sha256:59867654db8e66215fb5383bc796929321bb6ed4df4de26f1941bc3170bb3d69

Observation ae2c9f48-d9a2-4587-89c4-cea2bb39d13b · outbound

This paper cites International Conference on Learning Representations , year=.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation International Conference on Learning Representations , year=

Reference 63

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source=arxiv_source observed=2026-07-31T17:08:15.470436Z digest=sha256:8245af738210593547e72eebd478dd5c8bbed8d55fa2ecc456a59d9667a13abc

Observation 4e275b8f-566a-4566-aeda-d03f282d5ab7 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation Advances in Neural Information Processing Systems , volume=

Reference 64

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source=arxiv_source observed=2026-07-31T17:08:15.632658Z digest=sha256:dd680068b6c531b9a7e5759ee7612fe490b9cd1152cf30b17d155509755213df

Observation 679e0143-930d-42af-ae53-48ae8e64d630 · outbound

This paper cites Ring Attention with Blockwise Transformers for Near-Infinite Context.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation Ring Attention with Blockwise Transformers for Near-Infinite Context

Reference 65

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source=arxiv_source observed=2026-07-31T17:08:15.798786Z digest=sha256:e3a0d13c07c07b58725c93b7c41546828127e202e62a4774df8921850b7874c6

Observation 7d8b6468-93a5-4073-8721-990364af2bc5 · outbound

This paper cites Towards Accurate Generative Models of Video: A New Metric & Challenges.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation Towards Accurate Generative Models of Video: A New Metric & Challenges

Reference 66

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source=arxiv_source observed=2026-07-31T17:08:15.803792Z digest=sha256:e75014ac487e3c246753e4d77b0f2fb00075f9266dbfc0de915dd3252169ca8d

Observation 3498c81d-ea39-4a93-bd02-49db8125f97c · outbound

This paper cites International Conference on Machine Learning , year=.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation International Conference on Machine Learning , year=

Reference 67

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source=arxiv_source observed=2026-07-31T17:08:15.806560Z digest=sha256:88c6c089647c6e303df1d9d5b8b26f80f3c08e8ab699244b9172524b50d31f38

Observation 1a9f2e27-50fd-40bd-ad5b-1d803036c75d · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision , year=.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation Proceedings of the IEEE/CVF International Conference on Computer Vision , year=

Reference 68

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source=arxiv_source observed=2026-07-31T17:08:15.809097Z digest=sha256:632415f8e18c056745eb67765a779ad612f33ac5512537f6a3ce5cc74a399682

Observation 381e3dc6-3c85-4861-afac-6bf6b0756bf0 · outbound

This paper cites Real-time Facial Surface Geometry from Monocular Video on Mobile GPUs.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation Real-time Facial Surface Geometry from Monocular Video on Mobile GPUs

Reference 69

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source=arxiv_source observed=2026-07-31T17:08:15.811386Z digest=sha256:d472e5aee404326be96eef5da22aafd6a6c66ba4f294eceee84922ba067d1e0b

Observation 66529383-4eb3-49e0-98a5-5ed356a12adb · outbound

This paper cites an unresolved cited work.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation Unresolved cited work

Reference 70

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source=arxiv_source observed=2026-07-31T17:08:15.814026Z digest=sha256:55e05880bb69488f36bdd5fc87ae897e6c5056511d9981699710e43e81238210

Observation 8bf23275-8562-4f37-b44a-704dff076131 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 71

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source=arxiv_source observed=2026-07-31T17:08:15.816286Z digest=sha256:65b0af9223d1d7fbea1d07a3043f44b68cf78df830239dc04655f08166810b46

Observation 5958e10a-93b3-4025-84da-18989545bd0a · outbound

This paper cites Anchor Forcing: Anchor Memory and Tri-Region.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation Anchor Forcing: Anchor Memory and Tri-Region

Reference 72

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T17:08:15.818631Z digest=sha256:eb868413c1138b0f15191d55a6146bf60209e2d872e52aa3af03e40201e49a13

Observation c5dc2ddf-4e66-4419-bb6f-50b471870349 · outbound

This paper cites arXiv preprint arXiv:2603.14331 , year=.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation arXiv preprint arXiv:2603.14331 , year=

Reference 73

Resolution
unresolved
no resolver link, observed 2026-07-31T17:08:15.820913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T17:08:15.820913Z digest=sha256:832bc742aa2822a9b3b68c0b7f0b7013f13c2495a3c008ce946bfba34e3886ae

Observation 16d20e1f-deb0-4ab5-9602-c3b6afa144e9 · outbound

This paper cites OmniMem: Scalable and Adaptive Memory Retrieval for Long Video Generation.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation OmniMem: Scalable and Adaptive Memory Retrieval for Long Video Generation

Reference 74

Resolution
unresolved
no resolver link, observed 2026-07-31T17:08:15.823252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T17:08:15.823252Z digest=sha256:0b11b5f3dcf7f1dc2eddc063692e525eef9a364b97e68f103e9bae3cf507cae2

Observation 12dd4093-823b-43ec-9e72-9d362424d486 · outbound

This paper cites FadeMem: Distance-Aware Memory Consolidation for Autoregressive Video Diffusion.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation FadeMem: Distance-Aware Memory Consolidation for Autoregressive Video Diffusion

Reference 75

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unresolved
no resolver link, observed 2026-07-31T17:08:15.825740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T17:08:15.825740Z digest=sha256:3e4b1c2e4d74ed913bc6f48519a2fc766ae7e2c393ff13b3cd73c98c1b9e2367

Observation a1388ee4-e28b-40d2-a660-caa4d477d91d · outbound

This paper cites 2026 , url=.

TaoMate: Anchor-Guided Memory Bridging Evolving and Reference States for Real-Time Audio-Video Digital Human Generation 2026 , url=

Reference 76

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unresolved
no resolver link, observed 2026-07-31T17:08:15.828466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T17:08:15.828466Z digest=sha256:a32140a1a2e8dac4a3551e982e1e97de5d577ab8b1350195c08baa95ae3b1b5b

Pith citing papers

No inbound Pith citation observations are available.