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Paper Citation Record · LEDGER

Multiple Object Stitching for Unsupervised Representation Learning

As of 16 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 2026-08-16T06:30:59.297886+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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no resolver link, observed 2026-08-07T05:43:35.998294Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T05:43:35.998294Z digest=sha256:0e660816d8daac4a9e95292d6ddce1a79ecb2d43d98da721893ea7bec3e943f5

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:d4493f373b0183c0eac0d66c2cf05ddb93a2c5df9b1203baf3a9db743e59a0e1

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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source=arxiv_source observed=2026-08-07T05:43:36.225180Z digest=sha256:787f88d25e0933245ce719fc6b66bcd135e9522d5f39cc798f816eb56e95dafd

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

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T05:43:36.532337Z digest=sha256:63372dc89fc5efcd8d2757cc95030fd04b3c08d6ec42b243b00e4bb58d3e4c47

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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:43:36.890300Z digest=sha256:172fec214a7f45268ace119d4fa54012ae4ebdddb44bc1e35bdb6d0e09090610

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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+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
no resolver link, observed 2026-08-07T05:43:37.175770Z

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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T05:43:37.280432Z digest=sha256:5e32534183b1a226a31cf0cbf828aa13a46854e514577be77a47b2a012461093

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

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+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

Resolution
verified fuzzy
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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.

source=arxiv_source observed=2026-08-07T05:43:37.863555Z digest=sha256:effed027018fa7138dced775c3af2c29a09c85b84154ba3a5ced71ee82e3bb99

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T05:43:38.007331Z digest=sha256:07e781d2d64d6eda81b0f2b8b5402d2e2c292f9fb5ff0bb22a8249500175924d

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T05:43:38.150613Z digest=sha256:47c7368080a472803177e61e04a3ad7a29153a8b8d45524982e84fdaa56f8940

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
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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 2026-08-16T06:30:59.297886+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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T05:43:39.041955Z digest=sha256:0019c5692b51f7d0292fa4cb51dc7d1ddd7f678b6d68397371d97dc085d1a749

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T05:43:39.254180Z digest=sha256:700444829267c305235a606ea4480e66314190d9b3f289f1d17a69e66f9c7cbe

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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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 2026-08-16T06:30:59.297886+00:00.

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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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T05:43:39.449233Z digest=sha256:b7636cd2f70e90c2fc3c85b8d7c1192ac3fa65e3c316011f4deac4c2c267b699

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T05:43:39.543322Z digest=sha256:c100cb0180f912b9d77f5a39f3b4352bb8d96d722d3438998530835d4bd1d75b

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T05:43:39.598201Z digest=sha256:77ff37532cd00d3f7dd19be0c24b34e9629d5393a7b1a6dbea17a0dc8a48713f

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T05:43:39.736499Z digest=sha256:443a7fe2850dd2c6f0533cd6525b2f818f093e29c1103f4f0eb20459c156b667

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T05:43:39.854378Z digest=sha256:c9fce1b44f9a881bce59dd8314d9d7a92c0dd8653c9ed464e93d48761d666274

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T05:43:40.028428Z digest=sha256:eba4f0d5709c7a337748dcd00c6aff3bbee3b059c212ba756df8c96705bc84b2

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T05:43:40.204421Z digest=sha256:4445ae0a20c54de9942946611d843337fc1383ca56952bae8de9d3f6a5a9e45a

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T05:43:40.351200Z digest=sha256:7fb10e4ac1b916f7c9281d5f5c92d1424d1a750c7a4b370f8a699eeb81b95ead

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T05:43:40.501084Z digest=sha256:98de3931b705a267b75d33842c348ffffe1be27ce0b3b96fc6068454c7a14b16

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T05:43:40.648404Z digest=sha256:19dba1a3c759970cbac55dda21f42838898305fb1fed5b496974ea506bbd4ca2

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T05:43:40.743424Z digest=sha256:54f703c8570dc3e39a174a8a6b9d457fefa7af5b64dc44461f9ccff19f99d492

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T05:43:40.943231Z digest=sha256:bdd88f15d9d75ff63cb9e63e3bcef1c02fde4082f4111501c6c58e91984676d3

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T05:43:41.114614Z digest=sha256:1c2f880eceee3b2d4ad4ae1176012f2fe6d5d2e230854d17b1691d9277955ac0

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T05:43:41.230439Z digest=sha256:0d2e3f4e28210b9e945b8f46db42e36cc319edbc0130ff9f24b17d2639dc6bdb

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T05:43:41.386426Z digest=sha256:77c0e8134b4b2548fefef811a993f1390a818b7ceb375d77a4ac234feb9fb515

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T05:43:41.528393Z digest=sha256:e0a58ddba5126b73d8d72f0653653b7f463aad5c276cc03f7f7bc0d8dadc90e1

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:dcaa653e3a3c69d82a4395d93d42bcd225fc4739e45b5d008f6b6871d2e47454

Pith citing papers

No inbound Pith citation observations are available.