Paper Citation Record · LEDGER

DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings

As of 13 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2411.16236.

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

pith.paper-citation-record.v1
2411.16236 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:30:52.274083Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

41 of 41 outbound references displayed

verified exact1
verified fuzzy25
unresolved15
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b8e75bd4-4f8f-4e4e-a8b5-8ab8e5fe444e · outbound

This paper cites Learning transferable visual models from natural language supervision.

DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings Learning transferable visual models from natural language supervision

Reference 1

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Observation ec158dc8-6893-4400-93ed-4b248d10601d · outbound

This paper cites Sigmoid loss for language image pre-training.

DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings Sigmoid loss for language image pre-training

Reference 2

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Source-reported events for the cited work

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Observation 223190ba-c89e-49d1-b743-456d9098a702 · outbound

This paper cites Hyperbolic image-text representations.

DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings Hyperbolic image-text representations

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:30:52.911074Z

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Observation c6293edd-dcf7-4742-bcd9-5c897b368354 · outbound

This paper cites LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs.

DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs

Reference 4

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Observation d8cb753d-0417-4d74-8f61-2d7aeb660836 · outbound

This paper cites MedCLIP: Contrastive Learning from Unpaired Medical Images and Text.

DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 5

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Observation e2037346-4e9f-436a-855d-00bc4e9b78d1 · outbound

This paper cites Geode: a geographically diverse evaluation dataset for object recognition.

DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings Geode: a geographically diverse evaluation dataset for object recognition

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:30:52.896972Z

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Observation 9dbdd07d-8207-4ca8-a659-315e28645e16 · outbound

This paper cites Clip as rnn: Segment countless visual concepts without training endeavor.

DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings Clip as rnn: Segment countless visual concepts without training endeavor

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:30:52.880875Z

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Observation d3bca9b8-7b92-4382-acc2-98e2840307b8 · outbound

This paper cites Cascade-clip: Cascaded vision-language embeddings alignment for zero-shot semantic segmentation.

DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings Cascade-clip: Cascaded vision-language embeddings alignment for zero-shot semantic segmentation

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:30:52.865440Z

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Observation 1e7e06b6-aa7f-41f1-a31e-e803a09166f6 · outbound

This paper cites Visual classification via description from large language models.

DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings Visual classification via description from large language models

Reference 9

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Observation d2c17673-6745-4f31-b224-277888142d05 · outbound

This paper cites Waffling around for performance: Visual classification with random words and broad concepts.

DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings Waffling around for performance: Visual classification with random words and broad concepts

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:30:52.839186Z

Source-reported events for the cited work

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Observation af942256-73cf-413c-ae42-d5a79852b417 · outbound

This paper cites PerceptionCLIP: Visual classification by inferring and conditioning on contexts.

DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings PerceptionCLIP: Visual classification by inferring and conditioning on contexts

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:30:52.816942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 29fe29c2-28ea-467a-bf59-b4413d1109ad · outbound

This paper cites Contrastive adapters for foundation model group robustness.

DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings Contrastive adapters for foundation model group robustness

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:30:52.801734Z

Source-reported events for the cited work

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Observation 47a3ac20-8ebe-4460-90c2-93f66cd11437 · outbound

This paper cites Fine-tuning can distort pretrained features and underperform out-of-distribution.

DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings Fine-tuning can distort pretrained features and underperform out-of-distribution

Reference 13

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Source-reported events for the cited work

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Observation 4bf82603-5563-446c-b865-a110ebea7480 · outbound

This paper cites Last layer re-training is sufficient for robustness to spurious correlations.

DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings Last layer re-training is sufficient for robustness to spurious correlations

Reference 14

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Observation 26be337a-e02c-4c8a-87f1-820b876c8eef · outbound

This paper cites Debiasing Vision-Language Models via Biased Prompts.

DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings Debiasing Vision-Language Models via Biased Prompts

Reference 15

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Source-reported events for the cited work

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Observation cb906e7f-881a-4cd9-87fc-12d0387163ef · outbound

This paper cites FairerCLIP: Debiasing CLIP’s zero-shot predictions using functions in RKHSs.

DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings FairerCLIP: Debiasing CLIP’s zero-shot predictions using functions in RKHSs

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:30:52.760832Z

Source-reported events for the cited work

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Observation 353c142f-dc14-4bf4-b4a4-0db389cebf74 · outbound

This paper cites Calibrating multi-modal representations: A pursuit of group robustness without annotations.

DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings Calibrating multi-modal representations: A pursuit of group robustness without annotations

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:30:52.743814Z

Source-reported events for the cited work

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Observation 73ebf027-4bc6-4e9b-964b-029316c272c4 · outbound

This paper cites Clip-adapter: Better vision-language models with feature adapters.

DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings Clip-adapter: Better vision-language models with feature adapters

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:30:52.725404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 50d1b131-9898-49e9-9aa0-fab8f22c6dd1 · outbound

This paper cites Controllable prompt tuning for balancing group distributional robustness.

DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings Controllable prompt tuning for balancing group distributional robustness

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:30:52.708642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8b43244c-0fe5-4e3b-9629-6d752691a9ab · outbound

This paper cites Debiasing Vison-Language Models with Text-Only Training.

DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings Debiasing Vison-Language Models with Text-Only Training

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-12T13:30:52.346101Z

Source-reported events for the cited work

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Observation bace06a6-770c-4bb6-a070-0ad7ecfec3cb · outbound

This paper cites Language models as hierarchy encoders.

DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings Language models as hierarchy encoders

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:30:52.691719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 341b5a27-91e4-4b15-b21e-3d41726b3718 · outbound

This paper cites Eigenproblems in pattern recognition.

DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings Eigenproblems in pattern recognition

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:30:52.674977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d05a5aea-1b08-4d1f-a5ca-ec80e812c0c3 · outbound

This paper cites Harmony in diversity: Merging neural networks with canonical correlation analysis.

DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings Harmony in diversity: Merging neural networks with canonical correlation analysis

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:30:52.659282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 52676646-69c4-4e46-9b94-692e6e2cce03 · outbound

This paper cites Hashimoto, and Percy Liang.

DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings Hashimoto, and Percy Liang

Reference 24

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Observation 8845b1df-a60f-4a43-8c87-372e384a9934 · outbound

This paper cites Visualizing data using t-sne.

DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings Visualizing data using t-sne

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:30:52.631265Z

Source-reported events for the cited work

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Observation 0500b759-8d90-4b59-91da-03d6574b2335 · outbound

This paper cites Making monolingual sentence embeddings multilingual using knowledge distillation.

DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings Making monolingual sentence embeddings multilingual using knowledge distillation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:30:52.612859Z

Source-reported events for the cited work

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Observation 0ba66a3f-0814-4d9c-93ea-233bccee639e · outbound

This paper cites Deep learning face attributes in the wild.

DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings Deep learning face attributes in the wild

Reference 27

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Observation 94c14428-2848-4701-acfd-3b73240a4b11 · outbound

This paper cites The caltech-ucsd birds-200-2011 dataset.

DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings The caltech-ucsd birds-200-2011 dataset

Reference 28

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Observation 10b0fc67-e00c-40f7-ba5f-eac8f5175c45 · outbound

This paper cites Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification.

DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:30:52.575639Z

Source-reported events for the cited work

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Observation ee5a736a-29e1-4c83-ac50-7dcfa04728a1 · outbound

This paper cites Places: A 10 million image database for scene recognition.

DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings Places: A 10 million image database for scene recognition

Reference 30

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Source-reported events for the cited work

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Observation fa85a26d-2de4-42a3-9aa8-044b40050276 · outbound

This paper cites Automated flower classification over a large number of classes.

DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings Automated flower classification over a large number of classes

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:30:52.542889Z

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Observation 367bb14a-ba31-457f-8190-2770e4fa0479 · outbound

This paper cites Food-101–mining discriminative components with random forests.

DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings Food-101–mining discriminative components with random forests

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:30:52.527044Z

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Observation 262c984c-9fb2-4383-bb02-cc20b5e74ab7 · outbound

This paper cites Cats and dogs.

DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings Cats and dogs

Reference 33

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Source-reported events for the cited work

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Observation 821dd864-5599-418a-8b31-cd13a8a392eb · outbound

This paper cites Pytorch: An imperative style, high- performance deep learning library.

DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings Pytorch: An imperative style, high- performance deep learning library

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:30:52.500950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 34f41929-5758-41d9-8d1a-e8cc7face1c7 · outbound

This paper cites Deep residual learning for image recognition.

DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings Deep residual learning for image recognition

Reference 35

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Observation 82c9e85a-71fe-4812-a915-0e3b6f60f9f3 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings An image is worth 16x16 words: Transformers for image recognition at scale

Reference 36

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Source-reported events for the cited work

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Observation 4e7b8615-8a5b-4b8c-a9be-94ce11273431 · outbound

This paper cites Hyperbolic representation learning: Revisiting and advancing.

DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings Hyperbolic representation learning: Revisiting and advancing

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:30:52.463941Z

Source-reported events for the cited work

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Observation b2e9fc3e-26b1-4c7f-9d2b-0b3cca168bfa · outbound

This paper cites Utility-fairness trade-offs and how to find them.

DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings Utility-fairness trade-offs and how to find them

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:30:52.448137Z

Source-reported events for the cited work

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Observation 1005fd63-9882-4ae6-87a3-40fe35d66236 · outbound

This paper cites Towards General Text Embeddings with Multi-stage Contrastive Learning.

DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings Towards General Text Embeddings with Multi-stage Contrastive Learning

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-12T13:30:52.265195Z

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Observation 166c107d-70fe-43dd-bacc-71c51404db5d · outbound

This paper cites BART: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension.

DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings BART: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:30:52.428970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 39c07505-ad44-4b58-9a63-a068dc12190a · outbound

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DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings Principal component analysis

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:30:52.414302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

No inbound Pith citation observations are available.