Pith. sign in

Paper Citation Record · LEDGER

Multiple Object Stitching for Unsupervised Representation Learning

As of 7 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2506.07364.

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

pith.paper-citation-record.v1
2506.07364 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:43:41.681161Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

42 of 42 outbound references displayed

  • verified exact1
  • verified fuzzy33
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 426cbd61-4d29-428e-9f76-ebb538bb8b33 · outbound

This paper cites @esa (Ref.

Multiple Object Stitching for Unsupervised Representation Learning @esa (Ref

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T05:43:35.998294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:43:35.998294Z digest=sha256:f1fc13b189bceb97a825aebc853350f2be0829d33350f0e2b0f17f9b6ea7f30b

Observation b2b40b67-f0ea-4e97-a6da-5d565917fed1 · outbound

This paper cites an unresolved cited work.

Multiple Object Stitching for Unsupervised Representation Learning Unresolved cited work

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T05:43:36.082686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:43:36.082686Z digest=sha256:04722c5c5279685d18b08b3a2805166b5ae1c170edbd42ecc96b863acab60312

Observation 32ab80c4-8fb9-4e88-8875-f68ac3c73ae5 · outbound

This paper cites an unresolved cited work.

Multiple Object Stitching for Unsupervised Representation Learning Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:43:52.139803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:43:36.225180Z digest=sha256:59abbb6f4b0b2c25cec46adbc29c0aac53a498fc3dea1dca6e5b5cd344b8e466

Observation 32cc500f-ccff-4b12-82e8-f5bb0d455b84 · outbound

This paper cites Unsupervised learning of visual features by contrasting cluster assignments.

Multiple Object Stitching for Unsupervised Representation Learning Unsupervised learning of visual features by contrasting cluster assignments

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:43:51.859062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:43:36.374596Z digest=sha256:1b863e0d99f947d87533f0c2d72e4e0d157abd3f92e1f75dc616bb6c432424c7

Observation 485c6750-2d88-43d2-941e-ab4b898459e0 · outbound

This paper cites Emerging properties in self-supervised vision transformers.

Multiple Object Stitching for Unsupervised Representation Learning Emerging properties in self-supervised vision transformers

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:43:51.523797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:43:36.532337Z digest=sha256:12939d04297b507dff1be24a8b782f76e8520e5404fcf0b5596c006d39687bf0

Observation 19672f97-57c5-44ec-8526-fc6ed9c857ab · outbound

This paper cites A simple framework for contrastive learning of visual representations.

Multiple Object Stitching for Unsupervised Representation Learning A simple framework for contrastive learning of visual representations

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:43:51.197115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:43:36.630069Z digest=sha256:40f2585d2ef5c9fd4d9d76f51bf93f7ef4fb70383fc95f0b34bd152039d81b20

Observation d1ff362c-7199-4b44-98ef-73fca2005c84 · outbound

This paper cites Exploring simple siamese representation learning.

Multiple Object Stitching for Unsupervised Representation Learning Exploring simple siamese representation learning

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:43:50.871138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:43:36.751027Z digest=sha256:de2d13cf490f7a748798b0ab360daefdb79965264b145019217e36d26eada8bb

Observation f910b3b6-fa02-4094-8e0a-0c5abf43c179 · outbound

This paper cites Improved Baselines with Momentum Contrastive Learning.

Multiple Object Stitching for Unsupervised Representation Learning Improved Baselines with Momentum Contrastive Learning

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T05:43:36.890300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:43:36.890300Z digest=sha256:f8c6afdeeac428a5da82458308a677bd2d40a42042225bb95f559d4a8aef89ca

Observation 4f453aa7-a7fc-4d60-a344-aab095b7133b · outbound

This paper cites An empirical study of training self-supervised vision transformers.

Multiple Object Stitching for Unsupervised Representation Learning An empirical study of training self-supervised vision transformers

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:43:50.613575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:43:37.084307Z digest=sha256:b94d30a1eb84795c29d12adb20201bbdead7311f888e0f931fede8dc124478c6

Observation 2d11088b-e695-4df0-b180-b068564f0cfe · outbound

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

Multiple Object Stitching for Unsupervised Representation Learning An image is worth 16x16 words: Transformers for image recognition at scale

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T05:43:37.175770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:43:37.175770Z digest=sha256:7963a6b327de18d7950a8919794b17db7b01df0667ee818b5dca0f723815a7bc

Observation f67607c0-a9a8-4f2e-b3e8-724ac3ddb5d2 · outbound

This paper cites Bootstrap your own latent-a new approach to self-supervised learning.

Multiple Object Stitching for Unsupervised Representation Learning Bootstrap your own latent-a new approach to self-supervised learning

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:43:50.322536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:43:37.280432Z digest=sha256:f67cfa95319174363b0ff60e5514769403b6c169ab0be8cf04b509dc4c6aecbf

Observation 6702bc9c-9483-45d7-b65e-a71e8cd421a0 · outbound

This paper cites Mask r-cnn.

Multiple Object Stitching for Unsupervised Representation Learning Mask r-cnn

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:43:50.036492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:43:37.428698Z digest=sha256:155835a60d32547cfb87ea3685d3ef163fd8c209a5dee6ad6f54f84e69791b09

Observation 10a54390-a789-41f5-add2-e9ef849d0f98 · outbound

This paper cites Momentum contrast for unsupervised visual representation learning.

Multiple Object Stitching for Unsupervised Representation Learning Momentum contrast for unsupervised visual representation learning

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:43:49.701365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:43:37.574795Z digest=sha256:6272a883dfd6835a93ccb660dd5b220aaacc1254c45b5484a058abcc82b42c1a

Observation 1e9203c0-e30c-4764-9485-722c6f5ae0b9 · outbound

This paper cites Sinha, Peter Morales, and Richard J.

Multiple Object Stitching for Unsupervised Representation Learning Sinha, Peter Morales, and Richard J

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:43:49.363471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:43:37.717559Z digest=sha256:f8c94f71a84d84138825d2d1b71d4afaf524eff6448e91fc263a0e68e06e9a99

Observation 390ac8dc-b237-48da-a2d2-8d9c2b19191c · outbound

This paper cites Learning multiple layers of features from tiny images.

Multiple Object Stitching for Unsupervised Representation Learning Learning multiple layers of features from tiny images

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T05:43:37.863555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:43:37.863555Z digest=sha256:168ef1b15b3774e513466cd6c5a736c951d55e890866be2fcb5dcc652de485d0

Observation 82784d64-e50e-4c5a-9309-e3030b06993c · outbound

This paper cites Univip: A unified framework for self-supervised visual pre-training.

Multiple Object Stitching for Unsupervised Representation Learning Univip: A unified framework for self-supervised visual pre-training

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:43:49.086141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:43:38.007331Z digest=sha256:c393dbe6aca69f4e53fb450c4fc95ae14d08dd5f63a37b7be8815a1819f8eab0

Observation 962b91ce-b312-4ed7-9dfa-d54e068aeb27 · outbound

This paper cites Microsoft coco: Common objects in context.

Multiple Object Stitching for Unsupervised Representation Learning Microsoft coco: Common objects in context

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:43:48.746290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:43:38.150613Z digest=sha256:ff885971e463497f4345193ec29fa8eb0f9345234ff0aac0934432a4c8615e16

Observation d87540a3-6484-485a-bc58-a10914ad54e5 · outbound

This paper cites Self-EMD: Self-Supervised Object Detection without ImageNet.

Multiple Object Stitching for Unsupervised Representation Learning Self-EMD: Self-Supervised Object Detection without ImageNet

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T05:43:38.256677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:43:38.256677Z digest=sha256:071eeb3861dc7d39af76027f1d3757e9af5b20aa73771efceb7aac82a2d92cef

Observation 739ed38a-74a6-43fc-8c21-8b2608792cef · outbound

This paper cites Object-aware cropping for self-supervised learning.

Multiple Object Stitching for Unsupervised Representation Learning Object-aware cropping for self-supervised learning

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:43:48.469572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:43:38.418312Z digest=sha256:38348f4864508120348955399fb17fd6259cf5ca6a6b86c579985a7a902e051a

Observation f77b89a3-d13f-4329-bd03-086462fbb952 · outbound

This paper cites Object-aware contrastive learning for debiased scene representation.

Multiple Object Stitching for Unsupervised Representation Learning Object-aware contrastive learning for debiased scene representation

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:43:48.210322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:43:38.541056Z digest=sha256:68ff628e587158e9932b91e885951548793b243bb5027ddb00331fac27309a00

Observation d9bf748e-c1e5-4583-808f-3c0fac85b73b · outbound

This paper cites Pinheiro, Amjad Almahairi, Ryan Benmalek, Florian Golemo, and Aaron C Courville.

Multiple Object Stitching for Unsupervised Representation Learning Pinheiro, Amjad Almahairi, Ryan Benmalek, Florian Golemo, and Aaron C Courville

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:43:47.935486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:43:38.710769Z digest=sha256:d85c20f04cd43e08d28c29f2bcd3c60e363dcc6916393a27584176fad1b890a6

Observation e89a5516-eabf-43ab-87b0-92f122057d7d · outbound

This paper cites Spatially consistent representation learning.

Multiple Object Stitching for Unsupervised Representation Learning Spatially consistent representation learning

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:43:47.607089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:43:38.884720Z digest=sha256:35c562a7c04956f3701fa95ec667cf8d672e31b5319042d30913ec85a0f29791

Observation 66074842-b547-432b-a7fa-9314af38e4e8 · outbound

This paper cites Berg, and Li Fei-Fei.

Multiple Object Stitching for Unsupervised Representation Learning Berg, and Li Fei-Fei

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:43:47.364737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:43:39.041955Z digest=sha256:f4bc1602e59f2564eb1a7726bfbcd5c501e021de5299a7622df0ecf1ac7f6dca

Observation efe168cc-e438-4201-a6d9-bfc276dc5dca · outbound

This paper cites Casting your model: Learning to localize improves self-supervised representations.

Multiple Object Stitching for Unsupervised Representation Learning Casting your model: Learning to localize improves self-supervised representations

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:43:47.045772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:43:39.254180Z digest=sha256:cdb6e26b0262ebaee026e4bc9fdfac35eff81e1d5d01de746257e70b7300f70a

Observation d7e99bf7-4c97-4c44-8529-2d3a5da1063e · outbound

This paper cites Inter-Instance Similarity Modeling for Contrastive Learning.

Multiple Object Stitching for Unsupervised Representation Learning Inter-Instance Similarity Modeling for Contrastive Learning

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:43:42.005804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:43:39.375175Z digest=sha256:0e5b859e1556e6f4dc72dc2448ad02020e01cd1309a07934498b742b235c0bc4

Observation d87ffa88-3334-4644-9664-2ab57525a65b · outbound

This paper cites Multi-grained contrast for data-efficient unsupervised representation learning.

Multiple Object Stitching for Unsupervised Representation Learning Multi-grained contrast for data-efficient unsupervised representation learning

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:43:46.747793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:43:39.449233Z digest=sha256:d7eb87128f22786653909de2ee9dc117bca5ee813037e97643c018089f79a60f

Observation a2f40617-cf82-4fb8-8aa2-1a33cbadec29 · outbound

This paper cites Asymmetric patch sampling for contrastive learning.

Multiple Object Stitching for Unsupervised Representation Learning Asymmetric patch sampling for contrastive learning

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:43:46.490499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:43:39.543322Z digest=sha256:e78cce9471b949dc8ed3097e877aa25984fe7299aeffb173306968035b80ea37

Observation 1234a21f-0b20-4e74-89e6-f3c88884bf5d · outbound

This paper cites Selective search for object recognition.

Multiple Object Stitching for Unsupervised Representation Learning Selective search for object recognition

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:43:46.166423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:43:39.598201Z digest=sha256:e0191096d959fc115be45cfb3b4b66d0ad23a0a3db31347a2054c7d98fe280f5

Observation d08b0781-ab50-48a2-930f-1019ff5aafc2 · outbound

This paper cites Dense contrastive learning for self-supervised visual pre-training.

Multiple Object Stitching for Unsupervised Representation Learning Dense contrastive learning for self-supervised visual pre-training

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:43:45.803329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:43:39.736499Z digest=sha256:a50f2847aa36fa97af7f65b2fed5c7d0be6393f2d07bbf69474dcbab4c0100d8

Observation 9dc69544-c0b0-422d-b163-073d0158fe06 · outbound

This paper cites Aligning pretraining for detection via object-level contrastive learning.

Multiple Object Stitching for Unsupervised Representation Learning Aligning pretraining for detection via object-level contrastive learning

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:43:45.549198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:43:39.854378Z digest=sha256:d18ec6c9acad41729a22761bfc011e8daf1e432bcc8c92446bdf9480cc7bc728

Observation 6cbfd502-d4af-47fc-b0db-5c2f860f9204 · outbound

This paper cites Unsupervised feature learning via non-parametric instance discrimination.

Multiple Object Stitching for Unsupervised Representation Learning Unsupervised feature learning via non-parametric instance discrimination

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:43:45.285484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:43:40.028428Z digest=sha256:00e7ea99d92b45a436c05b46dd1384693620acbaa4948dd5044d1a258808703d

Observation f7a64abc-4f1a-40e4-9e5f-d2fde77fbf34 · outbound

This paper cites Region similarity representation learning.

Multiple Object Stitching for Unsupervised Representation Learning Region similarity representation learning

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:43:44.947492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:43:40.204421Z digest=sha256:38c4f62b9a918fdece88558fa5ee7c211ffef28e8cc8611eec3a59c0ab452e69

Observation 505637c9-1541-484d-971b-c0168fa6329e · outbound

This paper cites Detco: Unsupervised contrastive learning for object detection.

Multiple Object Stitching for Unsupervised Representation Learning Detco: Unsupervised contrastive learning for object detection

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:43:44.593317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:43:40.351200Z digest=sha256:42fda5956524b2f0d7f8f0f1bebcac47c7099c4acbc8190d64009efe4bcd0ad4

Observation 108258b3-9fbd-4152-9ba7-7c7a61d88542 · outbound

This paper cites Unsupervised object-level representation learning from scene images.

Multiple Object Stitching for Unsupervised Representation Learning Unsupervised object-level representation learning from scene images

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:43:44.281762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:43:40.501084Z digest=sha256:e11518235e1a327941cb11022dddba3b9f019e7c0ae080d488d75470ee8dcb4d

Observation 8a1f85e0-5efa-4421-88fa-51fe7ef2d14d · outbound

This paper cites Propagate yourself: Exploring pixel-level consistency for unsupervised visual representation learning.

Multiple Object Stitching for Unsupervised Representation Learning Propagate yourself: Exploring pixel-level consistency for unsupervised visual representation learning

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:43:44.006428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:43:40.648404Z digest=sha256:5cbfef05fa5dd77030633c2682697dcc79c4658079b658da557ebaa34c3e42a3

Observation b36ced94-c08e-463b-bcf0-11a8fbb8ac43 · outbound

This paper cites Instance localization for self-supervised detection pretraining.

Multiple Object Stitching for Unsupervised Representation Learning Instance localization for self-supervised detection pretraining

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:43:43.759758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:43:40.743424Z digest=sha256:8ee405198347c482d1129ba691364783a6c353ccad9ca2689195221ca20a79d8

Observation ec1f414f-f05e-4c2a-afed-283d1687b3f2 · outbound

This paper cites Unsupervised embedding learning via invariant and spreading instance feature.

Multiple Object Stitching for Unsupervised Representation Learning Unsupervised embedding learning via invariant and spreading instance feature

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:43:43.488280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:43:40.943231Z digest=sha256:9241d8615d2cfa956296ca65363e8523b2094ec7226c0d2ef5b8479f4e7e1f04

Observation d0dad718-08b3-4142-822e-ea3d6f230f6f · outbound

This paper cites Patch-level representation learning for self-supervised vision transformers.

Multiple Object Stitching for Unsupervised Representation Learning Patch-level representation learning for self-supervised vision transformers

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:43:43.205569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:43:41.114614Z digest=sha256:dc8c24268c5a984632ca9aecae666cd05a6a8833379c453f71c0b9c07fad2c1f

Observation b1204fb0-f1aa-4473-ba87-dd834c2edd8b · outbound

This paper cites Barlow twins: Self-supervised learning via redundancy reduction.

Multiple Object Stitching for Unsupervised Representation Learning Barlow twins: Self-supervised learning via redundancy reduction

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:43:42.883175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:43:41.230439Z digest=sha256:3fe60610754f40df43bfacb473d2fcbe4ef4ec12b1adaf571fc1d6edde4dd35b

Observation 14474d44-8b97-4a0d-a9ed-a7930ad76f82 · outbound

This paper cites Patch-level contrasting without patch correspondence for accurate and dense contrastive representation learning.

Multiple Object Stitching for Unsupervised Representation Learning Patch-level contrasting without patch correspondence for accurate and dense contrastive representation learning

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:43:42.594760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:43:41.386426Z digest=sha256:f19f5dc0f3f87ea394d04440e2316cddcc0e070ea6a4fd9924a516c5e1335644

Observation 959387c2-347e-4e95-97c5-498c42de48fe · outbound

This paper cites ibot: Image bert pre-training with online tokenizer.

Multiple Object Stitching for Unsupervised Representation Learning ibot: Image bert pre-training with online tokenizer

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:43:42.310661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:43:41.528393Z digest=sha256:03887304b61268cef113c6d4d18f8a7572420cff1753ef485992e317e7327e69

Observation 6fb449b3-45c8-465a-a648-28165580f21e · outbound

This paper cites write newline.

Multiple Object Stitching for Unsupervised Representation Learning write newline

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T05:43:41.681161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:43:41.681161Z digest=sha256:21ffa9acedbcb422a7756e8dcb8a660e2b4ae2b036a32d10ac52633c4ac03c8c

Pith citing papers

No inbound Pith citation observations are available.