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Paper Citation Record · LEDGER

Learning to Tessellate: Point Cloud Generation via Recursive Spectral Partitioning

As of 9 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2608.02432.

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

pith.paper-citation-record.v1
2608.02432 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T07:30:53.249853Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

42 of 42 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 96c3f0b4-145e-4084-9fef-d975d4820a29 · outbound

This paper cites an unresolved cited work.

Learning to Tessellate: Point Cloud Generation via Recursive Spectral Partitioning Unresolved cited work

Reference 1

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Observation 9b3703a6-9385-4987-9ed5-9df4ce4dc8a8 · outbound

This paper cites an unresolved cited work.

Learning to Tessellate: Point Cloud Generation via Recursive Spectral Partitioning Unresolved cited work

Reference 2

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Observation 865ed8d2-b164-4ee8-9d15-d6dae9ce13aa · outbound

This paper cites Neural Comput.15(6), 1373–1396 (2003).

Learning to Tessellate: Point Cloud Generation via Recursive Spectral Partitioning Neural Comput.15(6), 1373–1396 (2003)

Reference 3

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Learning to Tessellate: Point Cloud Generation via Recursive Spectral Partitioning Unresolved cited work

Reference 4

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This paper cites an unresolved cited work.

Learning to Tessellate: Point Cloud Generation via Recursive Spectral Partitioning Unresolved cited work

Reference 5

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Observation 2bd1a1f4-57c2-4615-96ad-16f7a3828709 · outbound

This paper cites an unresolved cited work.

Learning to Tessellate: Point Cloud Generation via Recursive Spectral Partitioning Unresolved cited work

Reference 6

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Observation 93fdb6d9-201a-4db8-89e3-1eb1a8618720 · outbound

This paper cites IEEE Trans.

Learning to Tessellate: Point Cloud Generation via Recursive Spectral Partitioning IEEE Trans

Reference 7

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Observation 2cf83348-ca28-4cad-8de1-d6fef8945785 · outbound

This paper cites In: IEEE Conf.

Learning to Tessellate: Point Cloud Generation via Recursive Spectral Partitioning In: IEEE Conf

Reference 8

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Observation 01cdc37b-c3df-44f3-bade-2ce3d50209b4 · outbound

This paper cites D-AR: Diffusion via Autoregressive Models.

Learning to Tessellate: Point Cloud Generation via Recursive Spectral Partitioning D-AR: Diffusion via Autoregressive Models

Reference 9

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Learning to Tessellate: Point Cloud Generation via Recursive Spectral Partitioning Unresolved cited work

Reference 10

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Learning to Tessellate: Point Cloud Generation via Recursive Spectral Partitioning Unresolved cited work

Reference 11

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Observation 363800cc-fe14-460f-8053-2610d6a85cc4 · outbound

This paper cites In: IEEE Conf.

Learning to Tessellate: Point Cloud Generation via Recursive Spectral Partitioning In: IEEE Conf

Reference 12

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This paper cites IEEE Trans.

Learning to Tessellate: Point Cloud Generation via Recursive Spectral Partitioning IEEE Trans

Reference 13

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This paper cites an unresolved cited work.

Learning to Tessellate: Point Cloud Generation via Recursive Spectral Partitioning Unresolved cited work

Reference 14

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This paper cites In: IEEE Conf.

Learning to Tessellate: Point Cloud Generation via Recursive Spectral Partitioning In: IEEE Conf

Reference 15

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Observation da9f8d52-5178-44a1-9c1e-95eabd0f6b3f · outbound

This paper cites Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation.

Learning to Tessellate: Point Cloud Generation via Recursive Spectral Partitioning Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 16

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This paper cites In: IEEE Conf.

Learning to Tessellate: Point Cloud Generation via Recursive Spectral Partitioning In: IEEE Conf

Reference 17

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Observation 24c38957-9d8d-47ed-930e-fe1f15080572 · outbound

This paper cites arXiv preprint arXiv:2511.20041 (2025).

Learning to Tessellate: Point Cloud Generation via Recursive Spectral Partitioning arXiv preprint arXiv:2511.20041 (2025)

Reference 18

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Learning to Tessellate: Point Cloud Generation via Recursive Spectral Partitioning Unresolved cited work

Reference 19

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This paper cites In: IEEE Conf.

Learning to Tessellate: Point Cloud Generation via Recursive Spectral Partitioning In: IEEE Conf

Reference 20

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Learning to Tessellate: Point Cloud Generation via Recursive Spectral Partitioning Unresolved cited work

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Learning to Tessellate: Point Cloud Generation via Recursive Spectral Partitioning Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

Reference 22

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Learning to Tessellate: Point Cloud Generation via Recursive Spectral Partitioning In: IEEE Winter Conf

Reference 23

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Learning to Tessellate: Point Cloud Generation via Recursive Spectral Partitioning Unresolved cited work

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Learning to Tessellate: Point Cloud Generation via Recursive Spectral Partitioning Syst.35, 10021–10039 (2022)

Reference 26

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Learning to Tessellate: Point Cloud Generation via Recursive Spectral Partitioning Unresolved cited work

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Learning to Tessellate: Point Cloud Generation via Recursive Spectral Partitioning Unresolved cited work

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Learning to Tessellate: Point Cloud Generation via Recursive Spectral Partitioning In: ACM SIGGRAPH

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Learning to Tessellate: Point Cloud Generation via Recursive Spectral Partitioning In: IEEE Conf

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Learning to Tessellate: Point Cloud Generation via Recursive Spectral Partitioning ACM Trans

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Learning to Tessellate: Point Cloud Generation via Recursive Spectral Partitioning In: IEEE Conf

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Learning to Tessellate: Point Cloud Generation via Recursive Spectral Partitioning In: IEEE Conf

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Learning to Tessellate: Point Cloud Generation via Recursive Spectral Partitioning Sen- sors18(10), 3337 (2018)

Reference 37

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Learning to Tessellate: Point Cloud Generation via Recursive Spectral Partitioning arXiv preprint arXiv:2503.05305 (2025)

Reference 39

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Learning to Tessellate: Point Cloud Generation via Recursive Spectral Partitioning Unresolved cited work

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Observation 96abc6d7-d3a3-43bc-8ec9-98e1f4522b0e · outbound

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Learning to Tessellate: Point Cloud Generation via Recursive Spectral Partitioning Unresolved cited work

Reference 42

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Pith citing papers

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