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Paper Citation Record · LEDGER

MABLE: Masked Autoencoding with Bi-Lipschitz Decoding for Embeddings and Graph Metric Learning

As of 18 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2607.02990.

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

pith.paper-citation-record.v1
2607.02990 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T05:36:37.592335Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 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

18 of 18 outbound references displayed

  • verified exact4
  • verified fuzzy0
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4f5d7c2a-a2d6-43d2-9894-40d2ee50de70 · outbound

This paper cites doi: 10.1145/3678717.3691268.

MABLE: Masked Autoencoding with Bi-Lipschitz Decoding for Embeddings and Graph Metric Learning doi: 10.1145/3678717.3691268

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-07-12T05:38:34.699934Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-07-12T05:36:37.592335Z digest=sha256:c62bc6e8350a68c7f329e14167d0883b65e1d6ca8814e312fc5f32d3a4f3ac1e

Observation 8b60bec9-d203-42a3-96c1-f49184908da2 · outbound

This paper cites URLhttps://papers.nips.cc/paper/2017/hash/ 892c3b60920f561af15af1b7f4ab8af4-Abstract.html.

MABLE: Masked Autoencoding with Bi-Lipschitz Decoding for Embeddings and Graph Metric Learning URLhttps://papers.nips.cc/paper/2017/hash/ 892c3b60920f561af15af1b7f4ab8af4-Abstract.html

Reference 2

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unresolved
no resolver link, observed 2026-07-12T05:36:37.592335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T05:36:37.592335Z digest=sha256:4578d225f172bac91b2d9771f58d9ee643326b34aab991e72c298a9a0b1195a2

Observation 7a190d70-3b7e-444b-b30c-ce3908afc713 · outbound

This paper cites Momentum Contrast for Unsupervised Visual Representation Learning.

MABLE: Masked Autoencoding with Bi-Lipschitz Decoding for Embeddings and Graph Metric Learning Momentum Contrast for Unsupervised Visual Representation Learning

Reference 4

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no resolver link, observed 2026-07-12T05:36:37.592335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T05:36:37.592335Z digest=sha256:68294cbdb1a1c57ac293c9a2617c4be0738a0436bc0c1669b8c07fe8da88d447

Observation f9e345a2-a169-42d1-8645-748e46116792 · outbound

This paper cites 2022.01551.

MABLE: Masked Autoencoding with Bi-Lipschitz Decoding for Embeddings and Graph Metric Learning 2022.01551

Reference 5

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unresolved
no resolver link, observed 2026-07-12T05:36:37.592335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T05:36:37.592335Z digest=sha256:2c588bafcc3631fc582ed86449b322e0da40e870b51afe7bcdba37a5f3106dc1

Observation 16555579-a182-4440-8b71-d0549025b442 · outbound

This paper cites Learning deep representations by mutual information estimation and maximization.

MABLE: Masked Autoencoding with Bi-Lipschitz Decoding for Embeddings and Graph Metric Learning Learning deep representations by mutual information estimation and maximization

Reference 6

Resolution
unresolved
no resolver link, observed 2026-07-12T05:36:37.592335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T05:36:37.592335Z digest=sha256:2d1881ea6ae16c0aa1af79a204556c243ced281506f1153f0a5e3c78592ac5d5

Observation 35c7d0d4-8651-4057-a5ee-453b77502db8 · outbound

This paper cites URLhttps: //doi.org/10.1145/3534678.3539321.

MABLE: Masked Autoencoding with Bi-Lipschitz Decoding for Embeddings and Graph Metric Learning URLhttps: //doi.org/10.1145/3534678.3539321

Reference 7

Resolution
unresolved
no resolver link, observed 2026-07-12T05:36:37.592335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T05:36:37.592335Z digest=sha256:b3a587f6b82f0df3b8c544ed851f4e32e41b31c045869a062ede4130635da0fd

Observation efd124d8-a98c-46d7-8f84-5cfe0f2d9e11 · outbound

This paper cites URLhttps://doi.org/10.1145/3543873.3587651.

MABLE: Masked Autoencoding with Bi-Lipschitz Decoding for Embeddings and Graph Metric Learning URLhttps://doi.org/10.1145/3543873.3587651

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-07-12T05:38:34.677457Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-07-12T05:36:37.592335Z digest=sha256:866e58637fb4ae8a88bdd1dde6bec07146c967398bff823c38c3c622a7c5e539

Observation 3cbc848f-a892-4b6f-92f2-34b2801433d4 · outbound

This paper cites Reformer: The Efficient Transformer.

MABLE: Masked Autoencoding with Bi-Lipschitz Decoding for Embeddings and Graph Metric Learning Reformer: The Efficient Transformer

Reference 9

Resolution
unresolved
no resolver link, observed 2026-07-12T05:36:37.592335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T05:36:37.592335Z digest=sha256:4feb3a31fcdd6350598f4f4c3b709f230543d59740914c48ff05e4f8376ad019

Observation b3276755-ea05-439a-b838-d36ccb54b4fe · outbound

This paper cites ISBN 979-8-4007-0103-0.

MABLE: Masked Autoencoding with Bi-Lipschitz Decoding for Embeddings and Graph Metric Learning ISBN 979-8-4007-0103-0

Reference 10

Resolution
unresolved
no resolver link, observed 2026-07-12T05:36:37.592335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T05:36:37.592335Z digest=sha256:806ddb59fc0408e0f0cfc8425441773ff271a5ee9c3472bfc9c3671023c078ae

Observation bcd511f1-1521-43e5-95a9-86c9aff7b9cf · outbound

This paper cites doi: 10.1016/j.oregeorev.2024.106215.

MABLE: Masked Autoencoding with Bi-Lipschitz Decoding for Embeddings and Graph Metric Learning doi: 10.1016/j.oregeorev.2024.106215

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-12T05:38:34.684348Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-07-12T05:36:37.592335Z digest=sha256:39ee5bff6bd3b5eed49b511e2cde9ccf83293622cbc1d41d862a9fb9980bf00f

Observation 1a5babcf-9f56-4ae6-9572-ddeffe8dad36 · outbound

This paper cites Contrastive learning, multi-view redundancy, and linear models.

MABLE: Masked Autoencoding with Bi-Lipschitz Decoding for Embeddings and Graph Metric Learning Contrastive learning, multi-view redundancy, and linear models

Reference 13

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unresolved
no resolver link, observed 2026-07-12T05:36:37.592335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T05:36:37.592335Z digest=sha256:310195f987c6142084eac41b7f4e72438382a35a223a35b75444ed9398505b9a

Observation 695e1b31-e593-4c8b-8643-d5280db6b93a · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

MABLE: Masked Autoencoding with Bi-Lipschitz Decoding for Embeddings and Graph Metric Learning Representation Learning with Contrastive Predictive Coding

Reference 14

Resolution
unresolved
no resolver link, observed 2026-07-12T05:36:37.592335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T05:36:37.592335Z digest=sha256:8359bba80a24d83f06ef5c56e7bdf79f614c15975340490b29ab23303a37d2e2

Observation edcd5752-b1b4-4c62-bf0d-465748eca7c1 · outbound

This paper cites URLhttps://proceedings.neurips.cc/paper_files/paper/2021/file/ 2b6921f2c64dee16ba21ebf17f3c2c92-Paper.pdf.

MABLE: Masked Autoencoding with Bi-Lipschitz Decoding for Embeddings and Graph Metric Learning URLhttps://proceedings.neurips.cc/paper_files/paper/2021/file/ 2b6921f2c64dee16ba21ebf17f3c2c92-Paper.pdf

Reference 15

Resolution
unresolved
no resolver link, observed 2026-07-12T05:36:37.592335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T05:36:37.592335Z digest=sha256:a510335c228ba8f47ad7866d63c93efec90783a0c03f35232c77ff5aeaabdc11

Observation cdbfa02e-bde3-449c-b8f5-10c96cd7112f · outbound

This paper cites Keyulu Xu, Weihua Hu, Jure Leskovec, and Stefanie Jegelka.

MABLE: Masked Autoencoding with Bi-Lipschitz Decoding for Embeddings and Graph Metric Learning Keyulu Xu, Weihua Hu, Jure Leskovec, and Stefanie Jegelka

Reference 16

Resolution
unresolved
no resolver link, observed 2026-07-12T05:36:37.592335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T05:36:37.592335Z digest=sha256:44cb6c2b046d17e686028ee7891ac577ecc423695705a21e0ec86f4838acfd1c

Observation ccacfc01-05bc-4181-938f-c29d8f6cb878 · outbound

This paper cites Manzil Zaheer, Satwik Kottur, Siamak Ravanbakhsh, Barnab´ as P´ oczos, Ruslan Salakhutdi- nov, and Alexander J.

MABLE: Masked Autoencoding with Bi-Lipschitz Decoding for Embeddings and Graph Metric Learning Manzil Zaheer, Satwik Kottur, Siamak Ravanbakhsh, Barnab´ as P´ oczos, Ruslan Salakhutdi- nov, and Alexander J

Reference 17

Resolution
unresolved
no resolver link, observed 2026-07-12T05:36:37.592335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T05:36:37.592335Z digest=sha256:c93366d35f2cbebd6abd538b30bd4c2fb504048b4e9fc35df6ffcf2260902d9c

Observation da0f3128-d76a-4cfb-ab81-fca3695e89aa · outbound

This paper cites Qi Zhang, Yifei Wang, and Yisen Wang.

MABLE: Masked Autoencoding with Bi-Lipschitz Decoding for Embeddings and Graph Metric Learning Qi Zhang, Yifei Wang, and Yisen Wang

Reference 18

Resolution
unresolved
no resolver link, observed 2026-07-12T05:36:37.592335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T05:36:37.592335Z digest=sha256:d0d64341d46aa9c283f9f246bf08d673a268a59e4ce7e981220df3e6731d478b

Observation a4220813-3c0d-439e-8d8b-204232fc04cd · outbound

This paper cites Deep Graph Contrastive Representation Learning.

MABLE: Masked Autoencoding with Bi-Lipschitz Decoding for Embeddings and Graph Metric Learning Deep Graph Contrastive Representation Learning

Reference 19

Resolution
unresolved
no resolver link, observed 2026-07-12T05:36:37.592335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T05:36:37.592335Z digest=sha256:d9a67e6f83f7f06c69f7a40422de9e99079fc1c05aa794f8d7de7604845f0f53

Observation 0d1a5621-16f7-4478-ad27-768f871145f4 · outbound

This paper cites doi: 10.1007/s11053-023-10237-w.

MABLE: Masked Autoencoding with Bi-Lipschitz Decoding for Embeddings and Graph Metric Learning doi: 10.1007/s11053-023-10237-w

Reference 20

Resolution
verified exact
doi, observed 2026-07-12T05:38:34.688944Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-07-12T05:36:37.592335Z digest=sha256:b3a027e94b03ff034aaaa34b9273c67ce53f527be9bceddb1c8ba385be4aa852

Pith citing papers

No inbound Pith citation observations are available.