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Paper Citation Record · LEDGER

Multiple Object Stitching for Unsupervised Representation Learning

As of 20 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 2026-08-20T06:33:59.587034+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

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T05:43:35.998294Z digest=sha256:6f188475d1a64480eee4776d19c9b88995ef3ad5d603d66af341aa6ceb2b3616

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:43:36.082686Z digest=sha256:82275b54998a0df450800e4a6a4a7ac187454e13e45fe4861afd79cf5e9cac20

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

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Source-reported events for the cited work

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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

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Source-reported events for the cited work

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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

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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

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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=sha256:4a3a855309d61ae727230e5464d6d63c60ae317174d39b34779311dcb3aabc2f

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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
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Source-reported events for the cited work

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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

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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

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Source-reported events for the cited work

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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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T05:43:38.007331Z digest=sha256:22196d3d1b678a472031594fc2ab3b318336e8f7bc07e4e300dae596645140f2

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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
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Source-reported events for the cited work

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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
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Source-reported events for the cited work

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T05:43:39.041955Z digest=sha256:8bb320d158539f95386828d186359cdbdcba59e2a8e0144e8162f6024b955d06

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T05:43:39.254180Z digest=sha256:7beb39162d6fc2652d61ce10e9e7f9e4452e948c0faa6f9988d878aa944839f2

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
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Source-reported events for the cited work

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T05:43:39.449233Z digest=sha256:42e72d46d61fc5b7c6f03df1b12da1948a72e60486b71e5882c8bcfad8f0415d

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T05:43:39.543322Z digest=sha256:8ce7f45bcb55f3d63d783c620dc86778ffaebc7d3fd799a6eba2f361aeccecca

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T05:43:39.598201Z digest=sha256:41d2864100f76cd44e34457450e068d10fd9e822226acd2b0a3a213637d58471

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T05:43:39.736499Z digest=sha256:5267d1b3770444f46a8206aba71e819e53d7de2e37335d8c36bc492c32668d02

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T05:43:39.854378Z digest=sha256:0d35a20c3ddc9ecafaace6e4a8fa57b9dcf5c1311a4d9b5d5f535fc77204ce6e

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T05:43:40.028428Z digest=sha256:a3bd5ece11091fa8e8b28692e3984f9c3e54a1b93085f79791dd5213823d9ef6

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T05:43:40.204421Z digest=sha256:e473fe19fd0b9d2cbdd74a1a08bd6f02c76894189656afea65f57de9fcd0819b

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T05:43:40.351200Z digest=sha256:c6f2ef881884fe250b5aa4bccf4be89ba74ba79a5263be8762d0a26126314ebf

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T05:43:40.501084Z digest=sha256:931153cab48f4fb45fca911320ff16e65665992e60e5f46d883b7019ab99b723

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T05:43:40.648404Z digest=sha256:ba0f36dbda29217044ecdf6a6dd0debe0846dfbbc44f7a5922944c2b6f8a97a7

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T05:43:40.743424Z digest=sha256:53cba1ace31a2c97fc5c58a5473235886427db0ca4e4e319c6eaa7c4c3ee4605

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T05:43:40.943231Z digest=sha256:4db2d9af7fbbae668895191a05bd4647430ffdcc8ae86b5a783efb6ed51b5377

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T05:43:41.114614Z digest=sha256:634dca9ec6d2113c74496458674f7d195fe3019c288fb36641a18d8aed380f81

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T05:43:41.230439Z digest=sha256:822545d33aa0af5f1174ca9cac2d7409429f2123f1451d7bfef7d15de91f5720

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T05:43:41.386426Z digest=sha256:9ef9a6fa7b653ec9ee2b3f85b05b9f8cf3d8e97694d63d7d51f2f5a934a88dab

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T05:43:41.528393Z digest=sha256:fc5b160e0d4333eceb1a8aa97f06b3a55172710640d97a5d9babe56031369744

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:c81882114a20041ab30c00714df82b7ee456e176615adabc66059464ee551795

Pith citing papers

No inbound Pith citation observations are available.