Paper Citation Record · LEDGER

On the modality gap and the contrastive loss in multi-modal representation learning

As of 9 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2607.10698.

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

pith.paper-citation-record.v1
2607.10698 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T09:55:43.412471Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

25 of 25 outbound references displayed

verified exact1
verified fuzzy0
unresolved24
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 41f32ed8-c815-499c-ae3f-455d7144bad6 · outbound

This paper cites an unresolved cited work.

On the modality gap and the contrastive loss in multi-modal representation learning Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-14T09:55:43.412471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ec96b19-09be-461c-a827-81bf234957f5 · outbound

This paper cites International conference on machine learning , pages=.

On the modality gap and the contrastive loss in multi-modal representation learning International conference on machine learning , pages=

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-14T09:55:43.412471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d2dd094-c7e7-4bd3-b877-d184fb62bccc · outbound

This paper cites Welle and M.

On the modality gap and the contrastive loss in multi-modal representation learning Welle and M

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-14T09:55:43.412471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41717dd9-21de-4123-91e6-c58ec63bbf7a · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision , issn =.

On the modality gap and the contrastive loss in multi-modal representation learning Learning Transferable Visual Models From Natural Language Supervision , issn =

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-14T09:55:43.412471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd5339ae-ce24-4d18-ab0c-59ccd891267b · outbound

This paper cites Mind the Gap: Preserving and Compensating for the Modality Gap in.

On the modality gap and the contrastive loss in multi-modal representation learning Mind the Gap: Preserving and Compensating for the Modality Gap in

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-14T09:55:43.412471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aaa20988-4bfe-48ae-b506-7093ef8b35f1 · outbound

This paper cites Fill the Gap: Quantifying and Reducing the Modality Gap in Image-Text Representation Learning.

On the modality gap and the contrastive loss in multi-modal representation learning Fill the Gap: Quantifying and Reducing the Modality Gap in Image-Text Representation Learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-14T09:55:43.412471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation facefa64-37b2-4c5e-b531-fab1f1d52c42 · outbound

This paper cites It's Not a Modality Gap: Characterizing and Addressing the Contrastive Gap.

On the modality gap and the contrastive loss in multi-modal representation learning It's Not a Modality Gap: Characterizing and Addressing the Contrastive Gap

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-14T09:55:43.412471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c343c166-52ce-4d12-824e-6580531435fc · outbound

This paper cites Mitigate the Gap: Investigating Approaches for Improving Cross-Modal Alignment in CLIP.

On the modality gap and the contrastive loss in multi-modal representation learning Mitigate the Gap: Investigating Approaches for Improving Cross-Modal Alignment in CLIP

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-14T09:55:43.412471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd5d053f-626a-41a5-b30a-92475cfc6c00 · outbound

This paper cites The Double-Ellipsoid Geometry of CLIP.

On the modality gap and the contrastive loss in multi-modal representation learning The Double-Ellipsoid Geometry of CLIP

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-14T09:55:43.412471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32070759-6146-4700-9b57-ee68525bc559 · outbound

This paper cites Understanding the Behaviour of Contrastive Loss , rights =.

On the modality gap and the contrastive loss in multi-modal representation learning Understanding the Behaviour of Contrastive Loss , rights =

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-14T09:55:43.412471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5b3f29d-ccda-4800-8891-a3422935d2cb · outbound

This paper cites IEEE Transactions on Artificial Intelligence , volume=.

On the modality gap and the contrastive loss in multi-modal representation learning IEEE Transactions on Artificial Intelligence , volume=

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-14T09:55:43.412471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a073013-80ad-4dbe-a74e-0569ad1fee6a · outbound

This paper cites and Lin, Dahua , urldate =.

On the modality gap and the contrastive loss in multi-modal representation learning and Lin, Dahua , urldate =

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-14T09:55:43.412471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d0ca495-471e-412b-bf37-e81bfdf42e76 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

On the modality gap and the contrastive loss in multi-modal representation learning Representation Learning with Contrastive Predictive Coding

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-14T09:55:43.412471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57a1ac9d-0dde-4e01-a5eb-d15445037a9b · outbound

This paper cites Learning Representations by Maximizing Mutual Information Across Views , volume =.

On the modality gap and the contrastive loss in multi-modal representation learning Learning Representations by Maximizing Mutual Information Across Views , volume =

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-14T09:55:43.412471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc14a885-5c21-4bab-9fcc-322636230be4 · outbound

This paper cites A Simple Framework for Contrastive Learning of Visual Representations.

On the modality gap and the contrastive loss in multi-modal representation learning A Simple Framework for Contrastive Learning of Visual Representations

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-14T09:55:43.412471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cb7ef59-3df2-4720-b2df-fd5704b6422f · outbound

This paper cites Momentum.

On the modality gap and the contrastive loss in multi-modal representation learning Momentum

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-14T09:55:43.412471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61cc073c-496b-4d1f-bffa-538097f8b93e · outbound

This paper cites EMNIST: an extension of MNIST to handwritten letters.

On the modality gap and the contrastive loss in multi-modal representation learning EMNIST: an extension of MNIST to handwritten letters

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-14T09:55:43.412471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc6b0391-478a-43a1-a2c4-47521cd9fbde · outbound

This paper cites Microsoft COCO: Common Objects in Context.

On the modality gap and the contrastive loss in multi-modal representation learning Microsoft COCO: Common Objects in Context

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-14T09:55:43.412471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a23ab62-74f2-42b3-bd77-b0fe143c1fde · outbound

This paper cites Geodesic Multi-Modal Mixup for Robust Fine-Tuning.

On the modality gap and the contrastive loss in multi-modal representation learning Geodesic Multi-Modal Mixup for Robust Fine-Tuning

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-07-14T10:00:26.872272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e3e0d41b-9e54-402b-aaf2-72ea9c0969e1 · outbound

This paper cites Second Workshop on Representational Alignment at ICLR 2025 , year=.

On the modality gap and the contrastive loss in multi-modal representation learning Second Workshop on Representational Alignment at ICLR 2025 , year=

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-14T09:55:43.412471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75905059-fca1-40a6-a4c7-1e0a1d2063a8 · outbound

This paper cites 2020 , eprint=.

On the modality gap and the contrastive loss in multi-modal representation learning 2020 , eprint=

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-14T09:55:43.412471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc5f12f3-0fbd-496d-99db-9cf40ee2ef0c · outbound

This paper cites 2018 , eprint=.

On the modality gap and the contrastive loss in multi-modal representation learning 2018 , eprint=

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-14T09:55:43.412471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8f3fd5a-b823-4315-883d-aa585eb3ac91 · outbound

This paper cites 2015 , eprint=.

On the modality gap and the contrastive loss in multi-modal representation learning 2015 , eprint=

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-14T09:55:43.412471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ea4d842-e4db-40b6-ae32-38ac2ea48ac6 · outbound

This paper cites an unresolved cited work.

On the modality gap and the contrastive loss in multi-modal representation learning Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-14T09:55:43.412471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64f25ac6-0a42-447e-9530-f48a44ff3d4c · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

On the modality gap and the contrastive loss in multi-modal representation learning An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-14T09:55:43.412471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.