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Paper Citation Record · LEDGER

BSA: Ball Sparse Attention for Large-scale Geometries

As of 19 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2506.12541.

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

pith.paper-citation-record.v1
2506.12541 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:52:50.691618Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

32 of 32 outbound references displayed

  • verified exact4
  • verified fuzzy14
  • unresolved14
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bf10c107-3cde-4c7a-bf16-e5fc5452a363 · outbound

This paper cites J., Bambrick, J., Bodenstein, S.

BSA: Ball Sparse Attention for Large-scale Geometries J., Bambrick, J., Bodenstein, S

Reference 1

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Unavailable: canonical work link unavailable.

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Observation 3c0dcf85-b53a-4281-b01c-88b89b9f8556 · outbound

This paper cites Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators.

BSA: Ball Sparse Attention for Large-scale Geometries Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators

Reference 2

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no resolver link, observed 2026-08-07T00:52:50.537250Z

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Observation ceb9404a-8854-4046-9b15-7aae947ab411 · outbound

This paper cites Neuralcfd: Deep learning on high-fidelity automotive aerodynamics simulations.

BSA: Ball Sparse Attention for Large-scale Geometries Neuralcfd: Deep learning on high-fidelity automotive aerodynamics simulations

Reference 3

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no resolver link, observed 2026-08-07T00:52:50.542554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 022f459f-b4f0-45fb-918a-8f0d6f73de7a · outbound

This paper cites Geometrically aware transformer for point cloud analysis.

BSA: Ball Sparse Attention for Large-scale Geometries Geometrically aware transformer for point cloud analysis

Reference 4

Resolution
verified exact
doi, observed 2026-08-07T00:52:50.768138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation c15669eb-b217-4458-9cbf-f750b1ae99aa · outbound

This paper cites Octformer: Efficient octree-based transformer for point cloud compression with local enhancement.

BSA: Ball Sparse Attention for Large-scale Geometries Octformer: Efficient octree-based transformer for point cloud compression with local enhancement

Reference 5

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verified exact
doi, observed 2026-08-07T00:52:50.751004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation dfa5f984-5eeb-4fa8-aab2-2de7c7d8d4a6 · outbound

This paper cites Resolution-agnostic transformer-based climate downscaling.

BSA: Ball Sparse Attention for Large-scale Geometries Resolution-agnostic transformer-based climate downscaling

Reference 6

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation ff1aa5be-0783-414a-a776-b7037aadf313 · outbound

This paper cites Flashattention: Fast and memory-efficient exact attention with i/o-awareness.

BSA: Ball Sparse Attention for Large-scale Geometries Flashattention: Fast and memory-efficient exact attention with i/o-awareness

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-07T00:52:51.458027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 491d92c1-81a3-4354-8587-52b9f4abbd80 · outbound

This paper cites GNOT: A General Neural Operator Transformer for Operator Learning.

BSA: Ball Sparse Attention for Large-scale Geometries GNOT: A General Neural Operator Transformer for Operator Learning

Reference 8

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no resolver link, observed 2026-08-07T00:52:50.568635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a7688033-65dc-47fe-aaf3-4c8011eb789a · outbound

This paper cites Fourier Neural Operator for Parametric Partial Differential Equations.

BSA: Ball Sparse Attention for Large-scale Geometries Fourier Neural Operator for Parametric Partial Differential Equations

Reference 9

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Unavailable: canonical work link unavailable.

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Observation 529194fa-a9d8-4d71-80e6-23806d9a7c8e · outbound

This paper cites B., Choy, C.

BSA: Ball Sparse Attention for Large-scale Geometries B., Choy, C

Reference 10

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation f28ba64d-a69f-4007-803f-f8185d31ac8d · outbound

This paper cites an unresolved cited work.

BSA: Ball Sparse Attention for Large-scale Geometries Unresolved cited work

Reference 11

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raw_fallback, observed 2026-08-07T00:52:51.424288Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation fd59ca1d-e6c6-4ed4-acec-db7b620e62e5 · outbound

This paper cites Flatformer: Flattened window attention for efficient point cloud transformer.

BSA: Ball Sparse Attention for Large-scale Geometries Flatformer: Flattened window attention for efficient point cloud transformer

Reference 12

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unresolved
no resolver link, observed 2026-08-07T00:52:50.588735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 86d3a798-b2ed-4b50-9254-a27694601d5d · outbound

This paper cites Decoupled Weight Decay Regularization.

BSA: Ball Sparse Attention for Large-scale Geometries Decoupled Weight Decay Regularization

Reference 13

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no resolver link, observed 2026-08-07T00:52:50.593534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:52:50.593534Z digest=sha256:06b957c1f5aefc05be6a0b0ab039ef9b3c82f5cee86da44e2300cbd6a9d2bd5a

Observation 8dd0b085-1ba3-4766-850d-d8273c10daa7 · outbound

This paper cites D2t-net: A dual-domain transformer network exploiting spatial and channel dimensions for semantic segmentation of urban mobile laser scanning point clouds.

BSA: Ball Sparse Attention for Large-scale Geometries D2t-net: A dual-domain transformer network exploiting spatial and channel dimensions for semantic segmentation of urban mobile laser scanning point clouds

Reference 14

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no resolver link, observed 2026-08-07T00:52:50.598318Z

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Unavailable: canonical work link unavailable.

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Observation 68a1e4d4-556f-4c96-8584-f5211ba23ccd · outbound

This paper cites Locality-sensitive hashing-based efficient point transformer with applications in high-energy physics.

BSA: Ball Sparse Attention for Large-scale Geometries Locality-sensitive hashing-based efficient point transformer with applications in high-energy physics

Reference 15

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 7cda9384-d22b-48ab-bba1-5d8a379767d8 · outbound

This paper cites Linear attention coupled fourier neural operator for simulation of three-dimensional turbulence.

BSA: Ball Sparse Attention for Large-scale Geometries Linear attention coupled fourier neural operator for simulation of three-dimensional turbulence

Reference 16

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a4c6afa5-0afc-4b92-8165-bfbab8e07daa · outbound

This paper cites Transformers are efficient hierarchical chemical graph learners.

BSA: Ball Sparse Attention for Large-scale Geometries Transformers are efficient hierarchical chemical graph learners

Reference 17

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verified exact
local_arxiv, observed 2026-08-07T00:52:50.982916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 42260f53-cdeb-4cc8-a1bd-ad85a2363c8d · outbound

This paper cites PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation.

BSA: Ball Sparse Attention for Large-scale Geometries PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

Reference 18

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unresolved
no resolver link, observed 2026-08-07T00:52:50.618653Z

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Observation 4975405d-0887-43b2-8234-e1cf2b2d944d · outbound

This paper cites GLU Variants Improve Transformer.

BSA: Ball Sparse Attention for Large-scale Geometries GLU Variants Improve Transformer

Reference 19

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unresolved
no resolver link, observed 2026-08-07T00:52:50.625222Z

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Unavailable: canonical work link unavailable.

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Observation 5eb6ebf9-7f9a-455a-9d78-fa1f78383bcc · outbound

This paper cites SWFormer: Sparse Window Transformer for 3D Object Detection in Point Clouds, pp.\ 426--442.

BSA: Ball Sparse Attention for Large-scale Geometries SWFormer: Sparse Window Transformer for 3D Object Detection in Point Clouds, pp.\ 426--442

Reference 20

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verified exact
doi, observed 2026-08-07T00:52:50.732988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 9666fe85-30c2-45d3-80da-99351460797f · outbound

This paper cites and Bickel, B.

BSA: Ball Sparse Attention for Large-scale Geometries and Bickel, B

Reference 21

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 65c32113-09f8-4459-9372-95e011241109 · outbound

This paper cites N., Kaiser, ., and Polosukhin, I.

BSA: Ball Sparse Attention for Large-scale Geometries N., Kaiser, ., and Polosukhin, I

Reference 22

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 7f14d7f0-dc66-4635-879d-e1986a640212 · outbound

This paper cites and Wang, C.

BSA: Ball Sparse Attention for Large-scale Geometries and Wang, C

Reference 23

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 5f516999-6131-4f6d-8474-29bd54ef6e1f · outbound

This paper cites Solving high-dimensional pdes with latent spectral models.

BSA: Ball Sparse Attention for Large-scale Geometries Solving high-dimensional pdes with latent spectral models

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:52:51.318171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 83287bfd-8f0b-4d5a-aa64-2987d98e7601 · outbound

This paper cites Transolver: A fast transformer solver for pdes on general geometries.

BSA: Ball Sparse Attention for Large-scale Geometries Transolver: A fast transformer solver for pdes on general geometries

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-07T00:52:51.301575Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 48268055-c6c1-47e8-abaa-d95903c750b9 · outbound

This paper cites Point transformer v3: Simpler, faster, stronger.

BSA: Ball Sparse Attention for Large-scale Geometries Point transformer v3: Simpler, faster, stronger

Reference 26

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a8299690-9655-4b07-ae5c-e557b4eb2fa7 · outbound

This paper cites Point transformer v3: Simpler, faster, stronger.

BSA: Ball Sparse Attention for Large-scale Geometries Point transformer v3: Simpler, faster, stronger

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:52:51.268379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 12cdc0fb-8fb2-4359-aa52-4ae6ee33d40b · outbound

This paper cites Improved operator learning by orthogonal attention.

BSA: Ball Sparse Attention for Large-scale Geometries Improved operator learning by orthogonal attention

Reference 28

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 12151565-354e-4817-ad7a-9ab0a54f5305 · outbound

This paper cites Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention.

BSA: Ball Sparse Attention for Large-scale Geometries Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention

Reference 29

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no resolver link, observed 2026-08-07T00:52:50.676949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 06b4d4c5-7715-4fef-b025-a7aded1cf71e · outbound

This paper cites A., Ainslie, J., Alberti, C., Ontanon, S., Pham, P., Ravula, A., Wang, Q., Yang, L., et al.

BSA: Ball Sparse Attention for Large-scale Geometries A., Ainslie, J., Alberti, C., Ontanon, S., Pham, P., Ravula, A., Wang, Q., Yang, L., et al

Reference 30

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no resolver link, observed 2026-08-07T00:52:50.682192Z

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Unavailable: canonical work link unavailable.

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Observation fd5a92ff-aff5-4aed-bf90-b8e3d2ea04ae · outbound

This paper cites and Sennrich, R.

BSA: Ball Sparse Attention for Large-scale Geometries and Sennrich, R

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:52:51.223290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 43c6270f-d025-4732-8420-5fc81d51a64a · outbound

This paper cites Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems.

BSA: Ball Sparse Attention for Large-scale Geometries Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems

Reference 32

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unresolved
no resolver link, observed 2026-08-07T00:52:50.691618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.