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Paper Citation Record · LEDGER

WHTMix: Efficient Stereo Depth Estimation via Walsh-Hadamard Token Mixing

As of 14 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2607.25234.

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

pith.paper-citation-record.v1
2607.25234 v2

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T03:05:47.131110Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

21 of 21 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f985e72f-78b4-4023-a823-acb643aba4ab · outbound

This paper cites Revisiting stereo depth estimation from a sequence-to- sequence perspective with transformers,.

WHTMix: Efficient Stereo Depth Estimation via Walsh-Hadamard Token Mixing Revisiting stereo depth estimation from a sequence-to- sequence perspective with transformers,

Reference 1

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source=pdf_text observed=2026-08-01T03:05:45.126450Z digest=sha256:fb334bab71864c5bc23f437935d80cbb5d61dc40d41b5690918c28fd3726aae1

Observation 012fe410-ec2a-448b-94f0-2dd9cff8b80f · outbound

This paper cites Pyramid stereo matching network,.

WHTMix: Efficient Stereo Depth Estimation via Walsh-Hadamard Token Mixing Pyramid stereo matching network,

Reference 2

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source=pdf_text observed=2026-08-01T03:05:45.168498Z digest=sha256:2f6d6b8f43a6d3dc37a2037b0753cce72a4424ba429c1594d2499aa3331796a2

Observation 02fe5650-b277-4e12-b0c6-ef7a8d164cdc · outbound

This paper cites RAFT-Stereo: Multilevel recurrent field transforms for stereo matching,.

WHTMix: Efficient Stereo Depth Estimation via Walsh-Hadamard Token Mixing RAFT-Stereo: Multilevel recurrent field transforms for stereo matching,

Reference 3

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source=pdf_text observed=2026-08-01T03:05:45.272282Z digest=sha256:0e68829855e55ab8e21fa3be2e5c6544b687deff88116732bc9b275ff5018ec8

Observation 93602619-5704-4342-818a-5024dd77c31e · outbound

This paper cites Iterative geometry encoding volume for stereo matching,.

WHTMix: Efficient Stereo Depth Estimation via Walsh-Hadamard Token Mixing Iterative geometry encoding volume for stereo matching,

Reference 4

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:05:45.376075Z digest=sha256:af2990b573dede2d4eaff3ec8e89c53c31103cca2ccd465008385a42753f564f

Observation 7dceb43b-13c7-452b-a728-06e3627b1f30 · outbound

This paper cites FoundationStereo: Zero-shot stereo matching,.

WHTMix: Efficient Stereo Depth Estimation via Walsh-Hadamard Token Mixing FoundationStereo: Zero-shot stereo matching,

Reference 5

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:05:45.481145Z digest=sha256:259f0a7b6e2d0b67012a1069c6580b10d06b10f9d067268633d71c215c4e84ae

Observation 3782bf93-62bf-4111-95a8-a2bebbdf0283 · outbound

This paper cites Hadamard Attention Recurrent Transformer: A Strong Baseline for Stereo Matching Transformer.

WHTMix: Efficient Stereo Depth Estimation via Walsh-Hadamard Token Mixing Hadamard Attention Recurrent Transformer: A Strong Baseline for Stereo Matching Transformer

Reference 6

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source=pdf_text observed=2026-08-01T03:05:45.577578Z digest=sha256:314eb9cc2b51e876e1d571867cd677b631c030e47dc8cecd200623663ee3a684

Observation a81d60c1-bab5-40ee-b471-78198f7a9270 · outbound

This paper cites an unresolved cited work.

WHTMix: Efficient Stereo Depth Estimation via Walsh-Hadamard Token Mixing Unresolved cited work

Reference 7

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source=pdf_text observed=2026-08-01T03:05:45.680761Z digest=sha256:79f33a1ebd14f883fe045eaeb8cd48120d3a1a640a0eb6965ebcdc37fdf1698a

Observation c7001fad-c241-43c1-bcb0-9c512da58ae4 · outbound

This paper cites Hadamard transforms.

WHTMix: Efficient Stereo Depth Estimation via Walsh-Hadamard Token Mixing Hadamard transforms

Reference 8

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source=pdf_text observed=2026-08-01T03:05:45.757719Z digest=sha256:8f7fd5cf11b2abd6adc76eb915bbf7ffb4de446b3315093b52c740803035c3a2

Observation a3936fd7-eb77-4888-b6fb-1931e5d2a6c2 · outbound

This paper cites Attention is all you need,.

WHTMix: Efficient Stereo Depth Estimation via Walsh-Hadamard Token Mixing Attention is all you need,

Reference 9

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source=pdf_text observed=2026-08-01T03:05:45.840313Z digest=sha256:19c865c3913091cdbcdb49919c2f7bccf157ef2128bc28c7a40c79ee4fd5745a

Observation 49cee4f2-559d-4645-86d2-b07952bf2fd8 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.

WHTMix: Efficient Stereo Depth Estimation via Walsh-Hadamard Token Mixing Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 10

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source=pdf_text observed=2026-08-01T03:05:45.933735Z digest=sha256:2b0efdf054f290925f80193978f7b17cc2d3e352c15514a2b11257568c421a8f

Observation 41859dd4-ed11-467b-9465-00f09f362fde · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

WHTMix: Efficient Stereo Depth Estimation via Walsh-Hadamard Token Mixing Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 11

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source=pdf_text observed=2026-08-01T03:05:46.012017Z digest=sha256:3162edf28b8e168716d946e6899f86fa5a8d370fbd8aa5e0be3f488fee3c6403

Observation 7b8ab4a5-a1f8-4ebb-8162-992dca196e8a · outbound

This paper cites FlashAttention: Fast and memory-efficient exact attention with io-awareness,.

WHTMix: Efficient Stereo Depth Estimation via Walsh-Hadamard Token Mixing FlashAttention: Fast and memory-efficient exact attention with io-awareness,

Reference 12

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source=pdf_text observed=2026-08-01T03:05:46.064861Z digest=sha256:2bc908073a9348292141a35d6243ca0a546543036671176ed80567f63c4de0dc

Observation a0dd83ab-0f54-4552-bdcd-e41922d68f2c · outbound

This paper cites FNet: Mixing tokens with fourier transforms,.

WHTMix: Efficient Stereo Depth Estimation via Walsh-Hadamard Token Mixing FNet: Mixing tokens with fourier transforms,

Reference 13

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source=pdf_text observed=2026-08-01T03:05:46.261648Z digest=sha256:90f158e9e485d2f5f8f25726acaea89a02a14431656556d9145d02089a5919b5

Observation 28584df6-36cf-4a25-9142-deb1e5f83903 · outbound

This paper cites Global filter networks for image classification,.

WHTMix: Efficient Stereo Depth Estimation via Walsh-Hadamard Token Mixing Global filter networks for image classification,

Reference 14

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source=pdf_text observed=2026-08-01T03:05:46.427233Z digest=sha256:af6abb05f838f34f794acac7b436aef9ba2613855236dc54348ee27d302ba841

Observation 15040879-0900-478d-9816-ffca7e9540f5 · outbound

This paper cites Adaptive fourier neural operators: Efficient token mixers for transform- ers,.

WHTMix: Efficient Stereo Depth Estimation via Walsh-Hadamard Token Mixing Adaptive fourier neural operators: Efficient token mixers for transform- ers,

Reference 15

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source=pdf_text observed=2026-08-01T03:05:46.574990Z digest=sha256:a4374ecd0fcad7ced9a74575cc24001158936e347e5493d697bf0095dc9388fa

Observation 49e01758-b507-479d-85ac-1c48bac11dcc · outbound

This paper cites Fast walsh-hadamard transform and smooth-thresholding based binary layers in deep neural networks,.

WHTMix: Efficient Stereo Depth Estimation via Walsh-Hadamard Token Mixing Fast walsh-hadamard transform and smooth-thresholding based binary layers in deep neural networks,

Reference 16

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source=pdf_text observed=2026-08-01T03:05:46.728999Z digest=sha256:118c22b2b3ae81e9f44416d91b367ea031f09dd1f11cba6e1be54c1e79d44041

Observation 29f95929-b701-46f6-b0f6-d070288f0191 · outbound

This paper cites Energy Efficient Hadamard Neural Networks.

WHTMix: Efficient Stereo Depth Estimation via Walsh-Hadamard Token Mixing Energy Efficient Hadamard Neural Networks

Reference 17

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source=pdf_text observed=2026-08-01T03:05:46.845020Z digest=sha256:8c8ea1470dc073a174a510a172c132392bb582d731b5757248ae5dc3cfe229e3

Observation 35608e06-dbe4-4fde-80e7-1905dd1d34d0 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale,.

WHTMix: Efficient Stereo Depth Estimation via Walsh-Hadamard Token Mixing An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 18

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source=pdf_text observed=2026-08-01T03:05:47.007071Z digest=sha256:803e861922da6a531afc29cf570fa6f74d3dfb4a3328e0aaee853b8dc911f15d

Observation 9c1602f1-3b6e-4a6f-8e93-0e45f9a423b7 · outbound

This paper cites CARLA: An open urban driving simulator,.

WHTMix: Efficient Stereo Depth Estimation via Walsh-Hadamard Token Mixing CARLA: An open urban driving simulator,

Reference 19

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source=pdf_text observed=2026-08-01T03:05:47.123383Z digest=sha256:ba3ccdf7d73985417cc0e5118d02da1f63c852a066262a26570954403770a86a

Observation 02c753f3-1853-4b54-98a6-49b628f49bcd · outbound

This paper cites Object scene flow for autonomous vehicles,.

WHTMix: Efficient Stereo Depth Estimation via Walsh-Hadamard Token Mixing Object scene flow for autonomous vehicles,

Reference 20

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source=pdf_text observed=2026-08-01T03:05:47.127464Z digest=sha256:2afa665b735a079fc102fe1b04d52597215f2d58e1a4086f235562adae1838c3

Observation aefc39a7-e167-4b08-ae71-501423ffd145 · outbound

This paper cites Long range arena: A benchmark for efficient transformers,.

WHTMix: Efficient Stereo Depth Estimation via Walsh-Hadamard Token Mixing Long range arena: A benchmark for efficient transformers,

Reference 21

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source=pdf_text observed=2026-08-01T03:05:47.131110Z digest=sha256:a82f5e88457a99fa87b496025b32ce8fc838cd780628643ce588723fdf54cc9f

Pith citing papers

No inbound Pith citation observations are available.