Pith. sign in

Paper Citation Record · LEDGER

SPair-71k: A Large-scale Benchmark for Semantic Correspondence

As of 18 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 23 inbound Pith citation observations for arXiv:1908.10543.

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

pith.paper-citation-record.v1
1908.10543 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:43:46.146585Z

measured 37 of 37 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 23 of 23 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:02:05.009084Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T13:49:51.655649Z

Reference resolution

14 of 14 outbound references displayed

  • verified exact0
  • verified fuzzy13
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fb33d42f-7f9c-42f8-96b6-a019755cbafe · outbound

This paper cites Detect what you can: De- tecting and representing objects using holistic models and body parts.

SPair-71k: A Large-scale Benchmark for Semantic Correspondence Detect what you can: De- tecting and representing objects using holistic models and body parts

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:43:46.343074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:43:46.091406Z digest=sha256:612fe4eb246bac53cbdd2f53d3dd58df0b450c078d0adf1eee43f38b1d5ffdc9

Observation 458dab13-e56c-4138-877c-75b379121a28 · outbound

This paper cites an unresolved cited work.

SPair-71k: A Large-scale Benchmark for Semantic Correspondence Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-14T10:43:46.331307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:43:46.095997Z digest=sha256:65c44d16095f141122b13cbd58e48e17dc7efb83294d886da8515158a4a7330d

Observation 7ea65b1d-01ac-47df-bf4b-04051380ed9f · outbound

This paper cites Proposal flow.

SPair-71k: A Large-scale Benchmark for Semantic Correspondence Proposal flow

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:43:46.318302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:43:46.100221Z digest=sha256:7e8969aaf07bf0e825e6c513f0999c7ea4649d03a0087da40eca2d34c579a590

Observation 95450105-90a9-483c-b7c2-35086aba05f0 · outbound

This paper cites Proposal flow: Semantic correspondences from ob- ject proposals.

SPair-71k: A Large-scale Benchmark for Semantic Correspondence Proposal flow: Semantic correspondences from ob- ject proposals

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:43:46.307151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:43:46.104196Z digest=sha256:15bf6a27d16112b1acf3b066f348fb47069956017a55f616fe8231507b22833b

Observation 779955b7-14ff-4def-bc57-e989500234a8 · outbound

This paper cites Scnet: Learning semantic correspondence.

SPair-71k: A Large-scale Benchmark for Semantic Correspondence Scnet: Learning semantic correspondence

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:43:46.294414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:43:46.108335Z digest=sha256:ffea1aa401fdaf583f24de6097bc4f04b589d4a4f9d02dc6ac79aea3514958af

Observation eb2e1732-fdce-4d19-ae8b-8ec09fff5c8f · outbound

This paper cites De- formable spatial pyramid matching for fast dense correspon- dences.

SPair-71k: A Large-scale Benchmark for Semantic Correspondence De- formable spatial pyramid matching for fast dense correspon- dences

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:43:46.282642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:43:46.112364Z digest=sha256:a223068518129caf8fd471cff601b41d669e01d33997fc873c24764632f999ec

Observation d3b2b946-b41b-43d2-b442-00a18b134614 · outbound

This paper cites Sift flow: Dense correspondence across scenes and its applications.

SPair-71k: A Large-scale Benchmark for Semantic Correspondence Sift flow: Dense correspondence across scenes and its applications

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:43:46.270167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:43:46.117001Z digest=sha256:51b53cf26bb7b98ba214d1ce769e65fdc953035cb5843bfafe954f0379f7e341

Observation 18c3a992-102b-4812-acaf-9cce859caa58 · outbound

This paper cites Hyperpixel flow: Semantic correspondence with multi-layer neural features.

SPair-71k: A Large-scale Benchmark for Semantic Correspondence Hyperpixel flow: Semantic correspondence with multi-layer neural features

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:43:46.257771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:43:46.120983Z digest=sha256:58078883acee7ac30e555b31b5d19aea15ca9461d6a9d00d1f78a59a9f6f423f

Observation 7eb73ced-d9d3-45ee-998d-7e95f14ef06c · outbound

This paper cites Convo- lutional neural network architecture for geometric matching.

SPair-71k: A Large-scale Benchmark for Semantic Correspondence Convo- lutional neural network architecture for geometric matching

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:43:46.245311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:43:46.125158Z digest=sha256:61c620326d9af8d9dc7f8d6c98de0636253ff453bbaac447da809e0903aabc3c

Observation 0ac1d001-c1f1-4dd0-a4fa-dd163e1b1ba0 · outbound

This paper cites End-to- end weakly-supervised semantic alignment.

SPair-71k: A Large-scale Benchmark for Semantic Correspondence End-to- end weakly-supervised semantic alignment

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:43:46.232192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:43:46.129353Z digest=sha256:bc79e366175b9e686d3644ef4700af29adfdd729b13392cfef735dd918b8413a

Observation adeebe84-e5c1-4b29-8e63-e5707b8cefe3 · outbound

This paper cites Neighbourhood con- sensus networks.

SPair-71k: A Large-scale Benchmark for Semantic Correspondence Neighbourhood con- sensus networks

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:43:46.218715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:43:46.134278Z digest=sha256:ba08196ee941bcfc77fc4cd7f827cd1c922ef9e32b52a0d503848131e34a7b36

Observation 2ee4f8a4-d8f8-419b-8667-1135c53588dc · outbound

This paper cites Attentive semantic alignment with offset-aware correlation kernels.

SPair-71k: A Large-scale Benchmark for Semantic Correspondence Attentive semantic alignment with offset-aware correlation kernels

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:43:46.206558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:43:46.139075Z digest=sha256:cf2ab687fb4c612058a7690fc26be326dac6d68cf7a60800eef33ccec228011f

Observation 56163be8-19b4-442a-80b8-bc343e537222 · outbound

This paper cites Joint re- covery of dense correspondence and cosegmentation in two images.

SPair-71k: A Large-scale Benchmark for Semantic Correspondence Joint re- covery of dense correspondence and cosegmentation in two images

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:43:46.192873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:43:46.142712Z digest=sha256:7b359fb6060b9a6798766e74014bbac1930eef94dff4ba000d210cd50d2bee89

Observation 401b6957-0a48-4507-b7dc-87c53210a314 · outbound

This paper cites Beyond pascal: A benchmark for 3d object detection in the wild.

SPair-71k: A Large-scale Benchmark for Semantic Correspondence Beyond pascal: A benchmark for 3d object detection in the wild

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:43:46.179535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T10:43:46.146585Z digest=sha256:b6c131bb6049db2532254ba2e1013891900c37c190c3499b982427a76549ba88

Pith citing papers

Observation f49f3f48-d0ac-4389-8315-31b5ccd71c56 · inbound

BLINK: Multimodal Large Language Models Can See but Not Perceive cites this paper.

BLINK: Multimodal Large Language Models Can See but Not Perceive SPair-71k: A Large-scale Benchmark for Semantic Correspondence

Reference 60

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T20:18:15.503362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-15T20:18:15.439163Z digest=sha256:e0fcb172866471fe370e822fe8c65589be461e76a7bf80d5dabfb5b494ec0ab8

Observation d36eb7f2-ffe0-4996-8fb6-7b2e380ed42a · inbound

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders cites this paper.

RandAR: Decoder-only Autoregressive Visual Generation in Random Orders SPair-71k: A Large-scale Benchmark for Semantic Correspondence

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-12T00:59:25.267762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:59:25.267762Z digest=sha256:97314aa17f48592f64c2f88351dcb4947bd4e1c6002fa43718a0419f35ba5b9b

Observation c501aa75-1cee-4245-b38c-442ba2024efd · inbound

Distillation of Diffusion Features for Semantic Correspondence cites this paper.

Distillation of Diffusion Features for Semantic Correspondence SPair-71k: A Large-scale Benchmark for Semantic Correspondence

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-11T22:24:44.167314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:24:44.167314Z digest=sha256:0fb60e136a6cd12af8c5284399fe412101e9b1230ff78760de20bd5f7c04fc25

Observation a4577834-f953-4781-ab6a-9e788719e063 · inbound

MATCHA:Towards Matching Anything cites this paper.

MATCHA:Towards Matching Anything SPair-71k: A Large-scale Benchmark for Semantic Correspondence

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-10T14:51:27.274225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:51:27.274225Z digest=sha256:83400fea8c50d6ca3968b49b51637b7bdf9a7eccfd0d8801c186d9bb3a2b298a

Observation c995a763-229b-4fe7-9a5d-bbd5e1758292 · inbound

Normalized Matching Transformer cites this paper.

Normalized Matching Transformer SPair-71k: A Large-scale Benchmark for Semantic Correspondence

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-22T22:05:11.585822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-22T22:03:16.161201Z digest=sha256:c443b756d4ecac5ccdf0c4d939dc5d35912301ea3fdc06cf1585bd98aa5839d2

Observation 4e51573d-16e6-414c-8ef2-86cf01883539 · inbound

Common3D: Self-Supervised Learning of 3D Morphable Models for Common Objects in Neural Feature Space cites this paper.

Common3D: Self-Supervised Learning of 3D Morphable Models for Common Objects in Neural Feature Space SPair-71k: A Large-scale Benchmark for Semantic Correspondence

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-16T05:02:05.009084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:02:05.009084Z digest=sha256:6b4601f7e90deb2d74ad93ed5d5212af7f5a471a6eb73f5af323d685a2b26c6d

Observation 04c66538-d0f8-4ee3-bbf4-8bf3e63d5143 · inbound

Semantic Correspondence: Unified Benchmarking and a Strong Baseline cites this paper.

Semantic Correspondence: Unified Benchmarking and a Strong Baseline SPair-71k: A Large-scale Benchmark for Semantic Correspondence

Reference 122

Resolution
unresolved
no resolver link, observed 2026-08-07T14:38:30.416148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:38:30.416148Z digest=sha256:b7889779786c8436ebf06608182668a3f1748b57e4fe3ae44d303c51b2ec1d95

Observation b9114a3f-163d-495a-a67c-fd0091df70d4 · inbound

Hidden in plain sight: VLMs overlook their visual representations cites this paper.

Hidden in plain sight: VLMs overlook their visual representations SPair-71k: A Large-scale Benchmark for Semantic Correspondence

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:31.919369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:25:31.919369Z digest=sha256:6e4d117d2deaca234a54edec5829def2de9c3557a9e4ad9f1e48acb63a148767

Observation fd8daf60-fa7a-41fc-9f08-1699fe808bc7 · inbound

Franca: Nested Matryoshka Clustering for Scalable Visual Representation Learning cites this paper.

Franca: Nested Matryoshka Clustering for Scalable Visual Representation Learning SPair-71k: A Large-scale Benchmark for Semantic Correspondence

Reference 80

Resolution
verified exact
arxiv_id, observed 2026-05-19T03:42:01.369687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-19T03:39:52.969100Z digest=sha256:2e4cb8767190cacb4fa631d1b93a2f9c8028f7c918a6801d2686bcfd6b631423

Observation 2596333c-3ad1-4146-a39c-97711e9085a5 · inbound

Towards Robust Semantic Correspondence: A Benchmark and Insights cites this paper.

Towards Robust Semantic Correspondence: A Benchmark and Insights SPair-71k: A Large-scale Benchmark for Semantic Correspondence

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T10:16:53.667014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:16:53.667014Z digest=sha256:3485f34a6418ddf42206a83d63afecee86c68bb6716d841bf7e432fff4f08a65

Observation f0354f1f-47b7-4142-bfd0-501b48ffd234 · inbound

Weakly-Supervised Learning of Dense Functional Correspondences cites this paper.

Weakly-Supervised Learning of Dense Functional Correspondences SPair-71k: A Large-scale Benchmark for Semantic Correspondence

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-05T10:37:52.529822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:37:52.529822Z digest=sha256:af608940e674e7ee7761b03b63455969ec46564b3f6dfae902786576a3055653

Observation 7b4c1eec-7a33-4f31-9091-beeecad501a6 · inbound

VLMs Need Words: Vision Language Models Ignore Visual Detail In Favor of Semantic Anchors cites this paper.

VLMs Need Words: Vision Language Models Ignore Visual Detail In Favor of Semantic Anchors SPair-71k: A Large-scale Benchmark for Semantic Correspondence

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-13T21:58:19.856641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-13T21:56:29.924506Z digest=sha256:61cfb69b2e548fae3b9217fbbfe97ab6dd1fd654b9f7d914bfbf77c5948af350

Observation 653853b2-a1ab-459f-955b-f1bb230fca5c · inbound

Zero-Ablation Overstates Register Content Dependence in DINO Vision Transformers cites this paper.

Zero-Ablation Overstates Register Content Dependence in DINO Vision Transformers SPair-71k: A Large-scale Benchmark for Semantic Correspondence

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-10T13:00:24.713018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T12:56:32.421877Z digest=sha256:90d245fbc06ea9afa81f7765f8b5fa4d47504c2292e755cb8a13f42435c16f85

Observation fa34e3b8-efe9-479f-9148-5ea79085e0ca · inbound

MARCO: Navigating the Unseen Space of Semantic Correspondence cites this paper.

MARCO: Navigating the Unseen Space of Semantic Correspondence SPair-71k: A Large-scale Benchmark for Semantic Correspondence

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-10T05:46:10.305081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-10T05:44:07.771467Z digest=sha256:0d2ac6b9e3d2012f860a508937bd08153b69384b5f39f3f39412d56a35c22c82

Observation 3811c435-1931-4f64-8aeb-e33f1b95e7db · inbound

Weighted Reverse Convolution for Feature Upsampling cites this paper.

Weighted Reverse Convolution for Feature Upsampling SPair-71k: A Large-scale Benchmark for Semantic Correspondence

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-20T14:28:21.690132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-20T14:24:28.728963Z digest=sha256:8f14d9d077dd380860547218292ecf0892602bd5d795032e5d88c3b9454ae7f3

Observation b502ba0d-b1f7-4bb1-9e9a-266280335d92 · inbound

Weighted Reverse Convolution for Feature Upsampling cites this paper.

Weighted Reverse Convolution for Feature Upsampling SPair-71k: A Large-scale Benchmark for Semantic Correspondence

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-21T08:19:52.821986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-21T08:15:52.610554Z digest=sha256:858c339998f19ef17e4f4bc272ad5d5def11ad5df3a846af3ab6738f43533b5d

Observation 11661d3a-42bd-4f0f-a8c4-a9353002546b · inbound

Category-Level 3D Correspondence in Camera Space via Morphable Object Priors cites this paper.

Category-Level 3D Correspondence in Camera Space via Morphable Object Priors SPair-71k: A Large-scale Benchmark for Semantic Correspondence

Reference 27

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T14:03:29.628684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-29T13:56:46.017507Z digest=sha256:3da70b6e1df3d76bd4c6f3d4b53a44ba18a6431a542621e6dcafc11d07b79a6d

Observation 1884f1d1-2dbe-4757-a043-2e818671c5cd · inbound

Geometry Matters: 3D Foundation Priors for Learning Semantic Correspondence cites this paper.

Geometry Matters: 3D Foundation Priors for Learning Semantic Correspondence SPair-71k: A Large-scale Benchmark for Semantic Correspondence

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-06-29T08:33:15.448516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-29T08:27:20.516403Z digest=sha256:92920ba82418cf2f74baa91afe1029a746d3b4c0ae1ff97bf190180a4729cb4d

Observation afea8e27-d6ab-4ae2-83f7-0c0aeede44f2 · inbound

SOCO: Benchmarking Semantic Object Correspondence in Vision Foundation Models cites this paper.

SOCO: Benchmarking Semantic Object Correspondence in Vision Foundation Models SPair-71k: A Large-scale Benchmark for Semantic Correspondence

Reference 45

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T19:16:00.314908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T23:02:50.100304Z digest=sha256:8994b1f971d24187a1217103e64f679f82c2093e2efa476bf2430fa5cc2f92d7

Observation f597beff-f7a8-43e2-b405-35d8740e1966 · inbound

SOCO: Benchmarking Semantic Object Correspondence in Vision Foundation Models cites this paper.

SOCO: Benchmarking Semantic Object Correspondence in Vision Foundation Models SPair-71k: A Large-scale Benchmark for Semantic Correspondence

Reference 45

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T22:57:25.738689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-02T22:50:50.041229Z digest=sha256:b36fa4636fa0f2f92be00d8b271fd1e5fd327afe2bc7d4ab6f8b0194070688a3

Observation 9f1c42d2-901b-4567-914d-f25da07d8332 · inbound

Error-Conditioned Neural Solvers cites this paper.

Error-Conditioned Neural Solvers SPair-71k: A Large-scale Benchmark for Semantic Correspondence

Reference 86

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T13:49:51.657262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-06-26T04:54:56.698035Z digest=sha256:7fdea14af19f865728533471c1d60a0c89efcc83fabb8081ebfbaa34c8f42d22

Observation 9799326c-c865-4fc0-8f26-db82555e0d30 · inbound

Awakening Diffusion Transformers: Eliciting Stronger Generation and Understanding via Massive Activation Modulation cites this paper.

Awakening Diffusion Transformers: Eliciting Stronger Generation and Understanding via Massive Activation Modulation SPair-71k: A Large-scale Benchmark for Semantic Correspondence

Reference 57

Resolution
unresolved
no resolver link, observed 2026-07-12T05:46:45.293902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T05:46:45.293902Z digest=sha256:23efaa050fe5b343879bbfb565e55526036d1cf23d5fd59de27164844c513c89

Observation aa287d58-d785-4a36-ad50-36fca4b80ed3 · inbound

Unsupervised Pixel-Level Semantic Left-Right Understanding of In-the-Wild Images cites this paper.

Unsupervised Pixel-Level Semantic Left-Right Understanding of In-the-Wild Images SPair-71k: A Large-scale Benchmark for Semantic Correspondence

Reference 18

Resolution
unresolved
no resolver link, observed 2026-07-11T10:12:56.715647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T10:12:56.715647Z digest=sha256:9d54b2a97dd7d187f7fe4067400c2091b0a7781f9caf7753982dafb82871f715