Paper Citation Record · LEDGER

Identifiability Results for Multimodal Contrastive Learning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2303.09166.

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

pith.paper-citation-record.v1
2303.09166 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:32:52.698831Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

4
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c1776246-93ea-4f04-95e4-fe6218698162 · inbound

Identifiable Object Representations under Spatial Ambiguities cites this paper.

Identifiable Object Representations under Spatial Ambiguities Identifiability Results for Multimodal Contrastive Learning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T05:32:52.698831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cde6a8f5-5085-49b0-bdb7-d2bb45299188 · inbound

Mechanistic Independence: A Principle for Identifiable Disentangled Representations cites this paper.

Mechanistic Independence: A Principle for Identifiable Disentangled Representations Identifiability Results for Multimodal Contrastive Learning

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-18T13:32:37.849795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation feedd44f-6ea2-473e-aead-86cd8754bdbe · inbound

Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors cites this paper.

Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors Identifiability Results for Multimodal Contrastive Learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T11:30:49.872986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cac837c-ce63-4b3a-a17c-a6887d1c5745 · inbound

When Do Diffusion Models learn to Generate Multiple Objects? cites this paper.

When Do Diffusion Models learn to Generate Multiple Objects? Identifiability Results for Multimodal Contrastive Learning

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-01T08:15:32.077282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f113b7d1-eb36-456a-aed8-a1c847a390a4 · inbound

Understanding Self-Supervised Learning via Latent Distribution Matching cites this paper.

Understanding Self-Supervised Learning via Latent Distribution Matching Identifiability Results for Multimodal Contrastive Learning

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:51:31.977871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation be6452d0-d6e4-4437-be56-86a64592be8c · inbound

Understanding Self-Supervised Learning via Latent Distribution Matching cites this paper.

Understanding Self-Supervised Learning via Latent Distribution Matching Identifiability Results for Multimodal Contrastive Learning

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-21T00:13:53.167051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 242bcc9d-e590-485f-bd6c-fccf5b6282bd · inbound

Understanding Self-Supervised Learning via Latent Distribution Matching cites this paper.

Understanding Self-Supervised Learning via Latent Distribution Matching Identifiability Results for Multimodal Contrastive Learning

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-01T00:25:09.960076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c3858324-1447-4515-aaf1-3aaf5b9484b3 · inbound

Understanding Self-Supervised Learning via Latent Distribution Matching cites this paper.

Understanding Self-Supervised Learning via Latent Distribution Matching Identifiability Results for Multimodal Contrastive Learning

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-02T15:01:35.339834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 705c2045-41f2-4353-bdd9-4e104c63cd3a · inbound

Unsupervised Causal Abstractions Discovery cites this paper.

Unsupervised Causal Abstractions Discovery Identifiability Results for Multimodal Contrastive Learning

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-06-26T20:49:57.432913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 30708817-c4e6-43e5-9bed-bcb64f0978c8 · inbound

MoVA: Learning Asymmetric Dual Projections for Modular Long Video-Text Alignment cites this paper.

MoVA: Learning Asymmetric Dual Projections for Modular Long Video-Text Alignment Identifiability Results for Multimodal Contrastive Learning

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-02T14:27:03.005736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 16a48701-21f5-4735-9171-3ffa5bcd8e8c · inbound

Foundation Models for Astrophysics cites this paper.

Foundation Models for Astrophysics Identifiability Results for Multimodal Contrastive Learning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T04:31:48.682996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.