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Paper Citation Record · LEDGER

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation

As of 11 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 0 inbound Pith citation observations for arXiv:2606.22749.

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

pith.paper-citation-record.v1
2606.22749 v1

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T09:11:58.462376Z

measured 63 of 63 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

63 of 63 outbound references displayed

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  • verified fuzzy0
  • unresolved58
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a8a74aa3-38ca-46af-8e70-f29a80a11b34 · outbound

This paper cites In: CVPR.

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation In: CVPR

Reference 1

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Observation bab7ce43-e16b-46c0-9f38-528c012ffae5 · outbound

This paper cites In: ICCV (2021).

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation In: ICCV (2021)

Reference 2

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Observation c002c776-6371-4c39-97c0-8ccd741a928d · outbound

This paper cites In: ICCV.

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation In: ICCV

Reference 3

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source=pdf_text observed=2026-06-26T09:11:58.462376Z digest=sha256:4be58a262ae38fb378d8899e6d93b9c9d752cba13ac861077c0b42294aa387a0

Observation b13777b7-0f1e-452e-a5a9-76e0218104e1 · outbound

This paper cites In: CVPR (2020).

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation In: CVPR (2020)

Reference 4

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source=pdf_text observed=2026-06-26T09:11:58.462376Z digest=sha256:feabcaa128b06227764b8ed6d64eb32319283e783e53ea8e717fe3e01084da22

Observation 4f347732-b9e8-43eb-946b-23be2398a15c · outbound

This paper cites Perception Encoder: The best visual embeddings are not at the output of the network.

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation Perception Encoder: The best visual embeddings are not at the output of the network

Reference 5

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local_arxiv, observed 2026-07-04T09:59:45.900457Z

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Observation 8289a7f9-0e21-4eb4-b70f-6330d75c019e · outbound

This paper cites In: CVPR.

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation In: CVPR

Reference 6

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source=pdf_text observed=2026-06-26T09:11:58.462376Z digest=sha256:220fdfa6e4d48fa5e0ec65355527ec8f2431d9526ec789f35ae05d1d7e5b9362

Observation 8247255d-3cc2-4555-885f-7f6eceead6a0 · outbound

This paper cites In: ICCV.

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation In: ICCV

Reference 7

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Observation 1ff11ee3-051e-4feb-bd4f-6fa26043a44f · outbound

This paper cites In: CVPR.

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation In: CVPR

Reference 8

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source=pdf_text observed=2026-06-26T09:11:58.462376Z digest=sha256:7ed9277050ef63806aeb31ae8567dafb62a01bf87907a774238e3056c3e3be28

Observation 596f3ec7-6167-49e7-ae86-3341b0895324 · outbound

This paper cites In: NeurIPS (2025).

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation In: NeurIPS (2025)

Reference 9

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Observation bbc4ab5b-6177-4143-9af9-c3540b9d25fa · outbound

This paper cites In: CVPR.

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation In: CVPR

Reference 10

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source=pdf_text observed=2026-06-26T09:11:58.462376Z digest=sha256:930e1e945adb828392b383db43eba48786bf119d6961ab91dddd708275d9df87

Observation 8b36ef6d-c7c6-4e4f-8a8b-58abec733986 · outbound

This paper cites In: NeurIPS (2025).

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation In: NeurIPS (2025)

Reference 11

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Observation 4efb0c3e-34f0-4c56-9b0c-effed3f55382 · outbound

This paper cites In: CVPR.

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation In: CVPR

Reference 12

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Observation 9e308f81-49ec-4cda-ad7d-6b2560ae975e · outbound

This paper cites In: CVPR.

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation In: CVPR

Reference 13

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source=pdf_text observed=2026-06-26T09:11:58.462376Z digest=sha256:b51826384c46a65431d3a54dafc2bdbf53ebf8cc5a86ab2db60f2cc614dc02b0

Observation c837bf28-4bb3-4aa2-b1ed-223c66d3403b · outbound

This paper cites In: ICCV.

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation In: ICCV

Reference 14

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source=pdf_text observed=2026-06-26T09:11:58.462376Z digest=sha256:795179864dad6981da418688b52080ee4a3c7097c8b32d7d83ce8cd9d3b036e3

Observation 9edddb72-2949-4b10-9e75-78cfccd5d9bf · outbound

This paper cites In: CVPR.

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation In: CVPR

Reference 15

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source=pdf_text observed=2026-06-26T09:11:58.462376Z digest=sha256:4f50d994e91a8c08d210d6b834f8c3b336cdf605f47dc09d719e0ecaf8e37239

Observation 35631717-1c57-4a76-8b8d-9774b2eacac1 · outbound

This paper cites Journal of Applied Meteorology18(8), 1016–1022 (1979).

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation Journal of Applied Meteorology18(8), 1016–1022 (1979)

Reference 16

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source=pdf_text observed=2026-06-26T09:11:58.462376Z digest=sha256:0037c3dc786d3dbcd0ea5d92e3d608fbd59b65e562d7e5ed2d2657a73f249c71

Observation e9cc0cc2-eaef-46bf-8687-94a0c59a56a6 · outbound

This paper cites In: CVPR.

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation In: CVPR

Reference 17

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source=pdf_text observed=2026-06-26T09:11:58.462376Z digest=sha256:55c24620d8e5a243af3acb48a8e8da1989c0fc48709ec70e2caeb4d0732e9ad9

Observation 744ef19d-f3fd-4045-b269-214102f2b439 · outbound

This paper cites Neural Networks107, 3–11 (2018).

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation Neural Networks107, 3–11 (2018)

Reference 18

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Observation 52f8ec4e-dbe9-44a9-87c3-05a7e7746728 · outbound

This paper cites IJCV111(1), 98–136 (2015).

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation IJCV111(1), 98–136 (2015)

Reference 19

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source=pdf_text observed=2026-06-26T09:11:58.462376Z digest=sha256:32cde7533193d02b22e84021360ec6154936ad958d6e96bc303ce11cf75542ba

Observation 0716b1db-92ef-470b-997f-aa9a44e223be · outbound

This paper cites In: ICLR (2024).

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation In: ICLR (2024)

Reference 20

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Observation ff73bd22-e09a-47c6-b482-0566011bab63 · outbound

This paper cites In: CVPR.

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation In: CVPR

Reference 21

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source=pdf_text observed=2026-06-26T09:11:58.462376Z digest=sha256:93d4f7bd0eddd350a0d0fa70e90a95185e6566ac9cab46ab8cdb535e14a0bada

Observation dbb9e027-0901-4c3d-afd2-0e87e6dfcb38 · outbound

This paper cites In: CVPR.

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation In: CVPR

Reference 22

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Observation d2338a19-7a16-458f-b0b0-52086592c415 · outbound

This paper cites In: ICCV (2025).

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation In: ICCV (2025)

Reference 23

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Observation 697cf8a7-e97f-4471-9a65-6d01488288b2 · outbound

This paper cites In: CVPR.

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation In: CVPR

Reference 24

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source=pdf_text observed=2026-06-26T09:11:58.462376Z digest=sha256:ae8c075e03e1baec8e2e568e5237acd44aa4232aee7715abd2a7f710c800279e

Observation 9cb3ae38-c198-4827-aa68-1e5a64d4cd2e · outbound

This paper cites Splat: Directly Referring 3D Gaussian Splatting via Direct Language Embedding Regis- tration.

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation Splat: Directly Referring 3D Gaussian Splatting via Direct Language Embedding Regis- tration

Reference 25

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Observation 5d8ee160-bb42-4c10-807a-697fa9ec9313 · outbound

This paper cites In: ICCV.

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation In: ICCV

Reference 26

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Observation d1905256-3e49-48eb-af9b-ffda2e7cd35f · outbound

This paper cites In: ICCV.

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation In: ICCV

Reference 27

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Observation 55435733-200a-48c3-8752-273b03105d2b · outbound

This paper cites ACM Trans.

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation ACM Trans

Reference 28

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Observation 72ed18bd-0de2-4059-ada0-5e89761fdf05 · outbound

This paper cites In: ECCV.

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation In: ECCV

Reference 29

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source=pdf_text observed=2026-06-26T09:11:58.462376Z digest=sha256:bed8074c61b4926f61ff5d4c494ed2a4044343b6982dc63ed1114f1d3f274a86

Observation 388413a5-fb38-470f-9a86-d95122811345 · outbound

This paper cites In: ACM MM.

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation In: ACM MM

Reference 30

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source=pdf_text observed=2026-06-26T09:11:58.462376Z digest=sha256:8be5b431745b31b54a28f10d6d851682ca6eca36a02eae1b2c40d6fa1429f718

Observation 11305f89-d500-4723-ac56-5daf8066afd8 · outbound

This paper cites AAAI39(23), 24458–24466 (2025).

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation AAAI39(23), 24458–24466 (2025)

Reference 31

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Observation bfbcb7d5-ec47-4e8e-b00d-8ac43a7aa8b6 · outbound

This paper cites In: ICLR (2026).

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation In: ICLR (2026)

Reference 32

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Observation 4667f0cb-5013-4bf1-ab63-0f798a7916ec · outbound

This paper cites In: ICLR (2019).

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation In: ICLR (2019)

Reference 33

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Observation c9bbe43c-88e2-48e2-ae47-12cc05b42628 · outbound

This paper cites IEEE TPAMI44(1), 242–255 (2022).

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation IEEE TPAMI44(1), 242–255 (2022)

Reference 34

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Observation f16fa917-e362-4c85-a556-9e9f874f5fd4 · outbound

This paper cites In: ECCV.

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation In: ECCV

Reference 35

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source=pdf_text observed=2026-06-26T09:11:58.462376Z digest=sha256:ea2d3a9c4226e77c8dffc61aea6f0639337d5f3cd275247ab3660f72ff536e6c

Observation 121deed4-f355-439a-ad4a-47ce8811fcb1 · outbound

This paper cites In: NeurIPS (2022).

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation In: NeurIPS (2022)

Reference 36

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source=pdf_text observed=2026-06-26T09:11:58.462376Z digest=sha256:fbae7dde83b73282c6af7ba1959d858366516e8d70cc7a4cee035b6a84b92f71

Observation daac2404-9907-464c-a924-0284ed2f3f75 · outbound

This paper cites College of the Redwoods 45(1), 1049–1060 (1998).

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation College of the Redwoods 45(1), 1049–1060 (1998)

Reference 37

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source=pdf_text observed=2026-06-26T09:11:58.462376Z digest=sha256:c89596004cc6982ed3b95f2047858efe8c6c82be9ae4041b953d44d5715ab6e6

Observation 88b0806f-e273-47ca-ad69-d60d91d6a615 · outbound

This paper cites In: ECCV.

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation In: ECCV

Reference 38

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source=pdf_text observed=2026-06-26T09:11:58.462376Z digest=sha256:43e0302993df2df3f8a6859fb00b53b1b97b20a6e05312beb8372d2395879a37

Observation bf8dec2f-faf2-458a-a42b-d4f756d91510 · outbound

This paper cites TMLR (2024).

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation TMLR (2024)

Reference 39

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source=pdf_text observed=2026-06-26T09:11:58.462376Z digest=sha256:a08528b0c201b866402d403af7f0029f892356b839d54e0c0bc02e097cdb1ab5

Observation c5f12618-4233-4371-a031-61c5cd3105cf · outbound

This paper cites The 2017 DAVIS Challenge on Video Object Segmentation.

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation The 2017 DAVIS Challenge on Video Object Segmentation

Reference 40

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local_arxiv, observed 2026-07-04T09:59:45.895228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-26T09:11:58.462376Z digest=sha256:10ea5e4578fc02b83ffd329588f792a338c7073c88882230e7821ae69d39758f

Observation 4b4f0d49-1d53-42f0-a291-f0365888dece · outbound

This paper cites In: CVPR.

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation In: CVPR

Reference 41

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T09:11:58.462376Z digest=sha256:4ba2d5caa9242f51676f982089f7a2a08c5c20063eac4bb2e135ebe4719cae2a

Observation 75731627-a345-45e4-9dcf-d776ca4cd2c9 · outbound

This paper cites In: ICML.

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation In: ICML

Reference 42

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Source-reported events for the cited work

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source=pdf_text observed=2026-06-26T09:11:58.462376Z digest=sha256:c9381480aa6cfd40b18e156e487434466111006488dbe2b8cc4dbd75ca918708

Observation b47005bb-2214-4ec7-81b2-1d0c563570bb · outbound

This paper cites In: ICLR (2021).

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation In: ICLR (2021)

Reference 43

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no resolver link, observed 2026-06-26T09:11:58.462376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T09:11:58.462376Z digest=sha256:cd6e88b5c646d5c70244e29f950f5275562b81524ff9b5ccd943788249d88be9

Observation 658c107d-1a4d-4cdf-8b91-9122c3d2ff10 · outbound

This paper cites In: ICCV (2021).

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation In: ICCV (2021)

Reference 44

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no resolver link, observed 2026-06-26T09:11:58.462376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T09:11:58.462376Z digest=sha256:2e0435f3c1aa539947b99ecfea838f3c86a794eacfa619f3b181de2fe806c44e

Observation 032580be-9e07-4910-919c-a7846c03e949 · outbound

This paper cites NeurIPS37, 9153–9177 (2024) 18 Ding et al.

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation NeurIPS37, 9153–9177 (2024) 18 Ding et al

Reference 45

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no resolver link, observed 2026-06-26T09:11:58.462376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T09:11:58.462376Z digest=sha256:0ca9942255cc5ba32a67a236e7479a60ef79b20fc89cceb588b70da91568bcde

Observation 2651aa26-8f61-463d-8ec5-49d9034073ef · outbound

This paper cites In: ECCV.

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation In: ECCV

Reference 46

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no resolver link, observed 2026-06-26T09:11:58.462376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T09:11:58.462376Z digest=sha256:e7efa71d0e04da2275351d6afdb661d0ad575b629dcb9aecc52b8d262f118878

Observation c9c5ceb3-eb5a-4b2a-9f66-f48bab4f16b3 · outbound

This paper cites DINOv3.

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation DINOv3

Reference 47

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T09:59:45.892694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-26T09:11:58.462376Z digest=sha256:0305b5440e77612bfa4f3d98e37940badb1397507e74713e6e0d6ce3111ba17e

Observation 90330f28-c0c5-4e75-a68b-bf738fbfad3e · outbound

This paper cites Neurocomputing568, 127063 (2024).

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation Neurocomputing568, 127063 (2024)

Reference 48

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no resolver link, observed 2026-06-26T09:11:58.462376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T09:11:58.462376Z digest=sha256:a5240dbcbdde90c4a8a8efdb10bc75030a9f40c925a3cd458841488dfa6ce70f

Observation 31d8b8f0-583a-4c5f-b10d-20a8b292e703 · outbound

This paper cites In: ICML (2024).

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation In: ICML (2024)

Reference 49

Resolution
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no resolver link, observed 2026-06-26T09:11:58.462376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T09:11:58.462376Z digest=sha256:45950a88f39b3da7c466ca5978239badfdf954768c54a95dacd2a3eb5a327fc0

Observation e3958c4b-dadf-4aa0-9bc0-120cae61229e · outbound

This paper cites In: ECCV.

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation In: ECCV

Reference 50

Resolution
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no resolver link, observed 2026-06-26T09:11:58.462376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T09:11:58.462376Z digest=sha256:0afeb02cb780e00d86bd4f44acb7786770a6df3e30dadd9b725d756a93482ed4

Observation 0c9c6fd5-013d-4589-86ae-bc0e484356c2 · outbound

This paper cites SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features.

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features

Reference 51

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T09:59:45.898093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-26T09:11:58.462376Z digest=sha256:d7be7dc1d671fe369ed65dcd4db34fb4cfa13d0281feb5bc69522dc3479dfdb8

Observation bfd0cc80-e314-4746-a67f-1d346c4668fc · outbound

This paper cites In: ICCV.

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation In: ICCV

Reference 52

Resolution
unresolved
no resolver link, observed 2026-06-26T09:11:58.462376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T09:11:58.462376Z digest=sha256:011be35fa64c76ae6a044b4224f1d707783bbd56b67496a8fde15bb6c57d3ae7

Observation a27c5c05-7f90-4dee-9a6b-c1d72dbf7722 · outbound

This paper cites In: CVPR (2018).

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation In: CVPR (2018)

Reference 53

Resolution
unresolved
no resolver link, observed 2026-06-26T09:11:58.462376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T09:11:58.462376Z digest=sha256:65519766dc066930c9f81a7d9b1546711bb84c6e82506c0d072b827c2b290244

Observation 250e3b08-a008-4cc0-acab-6f56525ec31e · outbound

This paper cites In: ICLR (2026).

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation In: ICLR (2026)

Reference 54

Resolution
unresolved
no resolver link, observed 2026-06-26T09:11:58.462376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T09:11:58.462376Z digest=sha256:02765cec5c934e7617b39d3d9eb181f2f6b57e7bbb36b07cfd5e2100cc51808d

Observation 5798ca9a-42f5-4df6-8ba2-409df1107396 · outbound

This paper cites In: ECCV.

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation In: ECCV

Reference 55

Resolution
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no resolver link, observed 2026-06-26T09:11:58.462376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T09:11:58.462376Z digest=sha256:58aebf75e7a1f2c0396606b8fe157e4b5c64b52c800d526e02a121afc820089a

Observation 8437e99c-835a-446c-972c-4d85e5266871 · outbound

This paper cites In: ECCV.

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation In: ECCV

Reference 56

Resolution
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no resolver link, observed 2026-06-26T09:11:58.462376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T09:11:58.462376Z digest=sha256:72ef552d2bdb06644df45e2383d07a2582d77c3ffab72708795ae0fe1e0bebd4

Observation c4dc1fb3-3daa-46fe-91c3-526ae5e6eaaf · outbound

This paper cites In: ICCV.

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation In: ICCV

Reference 57

Resolution
unresolved
no resolver link, observed 2026-06-26T09:11:58.462376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T09:11:58.462376Z digest=sha256:81af65bb832842c1c5800bb503190c26718538a06a9045078c463bb32d2f1ddf

Observation c5a51d03-f6d1-4bc0-9e31-f9d40a90c5ec · outbound

This paper cites Demystifying CLIP Data.

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation Demystifying CLIP Data

Reference 58

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T09:59:45.902604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-26T09:11:58.462376Z digest=sha256:72bb0acde6a54eec27f330c4475745a2e2b30401c3c9f57c7c2165be46ad4b36

Observation a805410a-1b7c-47af-80fd-0a8825fe16b1 · outbound

This paper cites In: CVPR.

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation In: CVPR

Reference 59

Resolution
unresolved
no resolver link, observed 2026-06-26T09:11:58.462376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T09:11:58.462376Z digest=sha256:9fb302020577168a98c3365a47890325c9941c7c796b1b3140f869470aaf18f6

Observation 46e6b14f-c375-4cf3-b378-d7be94803ea8 · outbound

This paper cites NeurIPS37, 21875–21911 (2024).

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation NeurIPS37, 21875–21911 (2024)

Reference 60

Resolution
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no resolver link, observed 2026-06-26T09:11:58.462376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T09:11:58.462376Z digest=sha256:524ba9ac1fb7b554f1d7e2d0edf6d3a1016f25671f9a9cb4b1bd7a32305b9ebd

Observation 9559ac66-afd9-42f6-ad0e-fc2341ffadc5 · outbound

This paper cites In: ICCV.

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation In: ICCV

Reference 61

Resolution
unresolved
no resolver link, observed 2026-06-26T09:11:58.462376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T09:11:58.462376Z digest=sha256:2f6626bd9fbebfcb2c8d36f9140bae76ff3bf70e67b9c4b0d45d2747f0b0a7b7

Observation 5f5deaf3-4c36-4a75-b97e-c080a4373ef7 · outbound

This paper cites a photo of a {label name}.

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation a photo of a {label name}

Reference 62

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T09:11:58.462376Z digest=sha256:e5a7ca3b9fdaf6024672167153be586185f59d86cd3cffd1a9df045a8454a991

Observation 279940e1-1e41-46a1-b3d9-8df809a5316d · outbound

This paper cites 5 demonstrated consistent performance improvements, further validating the effectiveness and scalability of the proposed model.

RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation 5 demonstrated consistent performance improvements, further validating the effectiveness and scalability of the proposed model

Reference 63

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no resolver link, observed 2026-06-26T09:11:58.462376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T09:11:58.462376Z digest=sha256:ab9c1025e8ad91681a6b8d95882fb66c7b36a874d97aee3312bf2cc9c1059196

Pith citing papers

No inbound Pith citation observations are available.