Paper Citation Record · LEDGER

A Sober Look at the Robustness of CLIPs to Spurious Features

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2403.11497.

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

pith.paper-citation-record.v1
2403.11497 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:25:39.318837Z

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

0
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 427454fa-9b29-4f1f-86cc-0878d67e7550 · inbound

Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation cites this paper.

Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation A Sober Look at the Robustness of CLIPs to Spurious Features

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-10T14:25:39.318837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3722725d-07ae-43e4-b161-2d0b017f0137 · inbound

Efficient Few-Shot Continual Learning in Vision-Language Models cites this paper.

Efficient Few-Shot Continual Learning in Vision-Language Models A Sober Look at the Robustness of CLIPs to Spurious Features

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-08T23:37:28.760647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 741c2cf4-4ecb-47e0-a396-e4489f7732f9 · inbound

On the Domain Robustness of Contrastive Vision-Language Models cites this paper.

On the Domain Robustness of Contrastive Vision-Language Models A Sober Look at the Robustness of CLIPs to Spurious Features

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T21:41:37.735853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60d29984-4d5e-4197-be41-e06da54d3ebe · inbound

Impact of Pretraining Word Co-occurrence on Compositional Generalization in Multimodal Models cites this paper.

Impact of Pretraining Word Co-occurrence on Compositional Generalization in Multimodal Models A Sober Look at the Robustness of CLIPs to Spurious Features

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T18:32:46.319612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f13d93a1-a0af-48e3-8e67-0ff7e2603a08 · inbound

CLIMP: Contrastive Language-Image Mamba Pretraining cites this paper.

CLIMP: Contrastive Language-Image Mamba Pretraining A Sober Look at the Robustness of CLIPs to Spurious Features

Reference 2009

Resolution: unresolved; no resolver link, observed 2026-08-03T11:22:14.498566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9263fbd0-9b79-49f7-b46c-ad839b0da2cd · inbound

Unsupervised Causal Abstractions Discovery cites this paper.

Unsupervised Causal Abstractions Discovery A Sober Look at the Robustness of CLIPs to Spurious Features

Reference 72

Resolution: verified exact; arxiv_id, observed 2026-06-26T20:49:57.346678Z

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.

Observation e33f2c09-3b22-4d82-8013-b85185d96663 · inbound

The Hyperspherical Geometry of CLIP Latent Space: A Semantic Mixture Model cites this paper.

The Hyperspherical Geometry of CLIP Latent Space: A Semantic Mixture Model A Sober Look at the Robustness of CLIPs to Spurious Features

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-02T04:33:53.918234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.