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Paper Citation Record · LEDGER

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

As of 17 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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T10:43:46.091406Z digest=sha256:6918717785a716313c4fd5e53c4fdc11bf4fd8c8f7eac4361cc830bdca314001

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T10:43:46.095997Z digest=sha256:8c69e89cbecfdcf7d3ae5bffedfcd5b972deffeb55e9f1c93f57d4285ec41684

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T10:43:46.100221Z digest=sha256:01ff662921c1769a8b7e7ba5d1b8afe7a964c5cb6d1b3bb8f05161fb44b88f32

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T10:43:46.104196Z digest=sha256:68dd994685f71b6900c757ba299cc715987f8981c13ef40f79f9c231989d23e4

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T10:43:46.108335Z digest=sha256:c25177d25f746e7491161f781df0fb66a60f6f2a3e6e01b27aa1381886efd9cc

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T10:43:46.112364Z digest=sha256:71253b6ef4df876afa4842fba9797822d4a09f67855be05fe7a6e4a34fa425f3

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T10:43:46.117001Z digest=sha256:ec11607b85903b39294a3ca615e80cedbdb4a77582b009d6a82668c1402a68a9

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T10:43:46.120983Z digest=sha256:8d7469514f8d3285c2b2b633953a9e776733bb7fa03daefd7a768540705f7d3c

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T10:43:46.125158Z digest=sha256:5a327af4d615ac8507890ecab28ef007f36b868a5f31bf9bc83e8dfd8b7d75a2

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T10:43:46.129353Z digest=sha256:78b46cfc72d9f64a7e1089bd21a46eba20f7dde07131478052271222d1e59575

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T10:43:46.134278Z digest=sha256:c1353c3891edabeb778dddd671be457315f931ce8b2a8d30be3273fb0f59c06d

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T10:43:46.139075Z digest=sha256:4f7b45874911ebee9b48b513619c46ba69742bed14f43b0aebba52eba5ea93e6

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T10:43:46.142712Z digest=sha256:71cc3e0c8a1c42b30920c3c145a014ef6bb9708103a2016927c3df62e42f5630

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T10:43:46.146585Z digest=sha256:fbfdc24a646a64167e94357f7e9d5a9c24daccb201ee03ff934fafc37d076153

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-15T20:18:15.439163Z digest=sha256:b03d6c0fe4c8d3ede0d99a4b150cc42f15e92016004532d15af143905309366e

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:dc92ac97b0b9f30eb1cb05174e5c8db3b860aeba5407c4604cefe7644979b1a2

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=sha256:31647a9736e2a5004db3e9b680589de20f411bd32620a3a7b0559a9dbe20bfd3

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=sha256:078d9bf8c33a3dba114c4dceb3bcafb7ca802721adf86f0ca4e8a8f5839719a8

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-22T22:03:16.161201Z digest=sha256:fce70d0c53ac205963271f2cbc65aa8a3bafb5fc76a174200a1ef2ae0f58e4f0

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=sha256:46afec5c4207f5705313bc46d3f52a4efc06abd76bff15594c760c524f37f2c7

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=sha256:485ef12439d2bb7ad85ae4b898e383be76846621ea5a28d48f7de041b6110dbf

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:f75e195800c299c23006f143a015365079160c121b6a76c0be1fbf677f63f70f

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-19T03:39:52.969100Z digest=sha256:fc6957659788f65c3e7a234ed84c580b21d474cf146b8af5e3f91d94e8be030e

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:ec29e6fbe8b7b95d348c43bf299cd8a624a87ba08f3be2fc1ad3039d28cfe5ab

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=sha256:0b99460d10b5f81d34d0fa33026f5f043333569183017be2cded03d0f866f554

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-13T21:56:29.924506Z digest=sha256:2985fa36b704d7d1d3eb8730b17b46a0aa3cf75cb8a64acd142f5dd9db4f283a

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T12:56:32.421877Z digest=sha256:13ad0861fbca2f095946c5edbfe1cf0dbb93a942da56f82fcaadef93c6f021c2

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-10T05:44:07.771467Z digest=sha256:72d25f35d101b77f09ab5326bf46bc2f696b5c85334ad6b4a242112051a6787b

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-20T14:24:28.728963Z digest=sha256:1fedb6c0598719e36c46c12ab70431e5369cbe9ea4d24b41bc842ec615c19417

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-21T08:15:52.610554Z digest=sha256:f5095c928b664992caf01988fbd50c62fd56e73bbf6d228071a0149dcf2b5a3a

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-29T13:56:46.017507Z digest=sha256:c67708267a379796adcc117f2ad08b9fdfc195b9b3df8a751eadda14879a4160

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-29T08:27:20.516403Z digest=sha256:b5b2529bda1b8f45cb16970ca85f085fe45b09048f79e92206ad449a0db2a443

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-28T23:02:50.100304Z digest=sha256:2b560200e76b9195753836ec0fee459ef195652d2dbccea129b164790b8971c0

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-02T22:50:50.041229Z digest=sha256:53bd58994402c8bd1a0db3ad108f8889544410e4d2419da58f7a7c9d37631866

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-26T04:54:56.698035Z digest=sha256:d602f746afd3e80f18a0fb01f709650417fc45eff783336fdf9a92672be27111

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=sha256:1f7d2891183a491ebd9336c3f324326e0d5a53719d639c1c425c3f679037fa21

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=sha256:5e3864496fa797e0fe9370b71f29026ced81308fd4f418f8e82fc66e3d4a68b6