Paper Citation Record · LEDGER

Rethinking the Bias of Foundation Model under Long-tailed Distribution

As of 18 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2501.15955.

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

pith.paper-citation-record.v1
2501.15955 v3

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T13:54:57.750455Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

40 of 40 outbound references displayed

verified exact0
verified fuzzy12
unresolved28
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b5e97b34-a562-4fce-8c59-07f02b9f7ff3 · outbound

This paper cites Adaptformer: Adapting vision transformers for scalable visual recognition.

Rethinking the Bias of Foundation Model under Long-tailed Distribution Adaptformer: Adapting vision transformers for scalable visual recognition

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T13:54:57.565148Z

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Unavailable: canonical work link unavailable.

Observation ae84f412-eca9-46b1-9aa1-46bf32cb1bd2 · outbound

This paper cites Reproducible scaling laws for contrastive language-image learning.

Rethinking the Bias of Foundation Model under Long-tailed Distribution Reproducible scaling laws for contrastive language-image learning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T13:54:57.570552Z

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Observation 40ca2736-f7c2-416d-bc8a-2fc50a235cd5 · outbound

This paper cites and Hart, P.

Rethinking the Bias of Foundation Model under Long-tailed Distribution and Hart, P

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T13:54:57.575376Z

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Observation 422de10a-5f39-438c-beff-b43ba2a55871 · outbound

This paper cites Class-balanced loss based on effective number of samples.

Rethinking the Bias of Foundation Model under Long-tailed Distribution Class-balanced loss based on effective number of samples

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T13:54:57.580890Z

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Observation d4204cff-eddf-40f3-b6f5-a6346c26ebeb · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Rethinking the Bias of Foundation Model under Long-tailed Distribution Imagenet: A large-scale hierarchical image database

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T13:54:57.585704Z

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Observation a5ba125c-8508-4f10-b12a-59ffe0c3f7ae · outbound

This paper cites LPT: Long-tailed Prompt Tuning for Image Classification.

Rethinking the Bias of Foundation Model under Long-tailed Distribution LPT: Long-tailed Prompt Tuning for Image Classification

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T13:54:57.590614Z

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Observation 02a0e164-c79c-4237-b673-4a6410bc6a50 · outbound

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

Rethinking the Bias of Foundation Model under Long-tailed Distribution An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T13:54:57.596267Z

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Unavailable: canonical work link unavailable.

Observation 205e7010-0cc7-4550-9b5b-2e9dd059a705 · outbound

This paper cites and Wang, S.

Rethinking the Bias of Foundation Model under Long-tailed Distribution and Wang, S

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:54:58.489645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ea8606d8-cede-4146-b958-e9149f7cea7b · outbound

This paper cites Deep residual learning for image recognition.

Rethinking the Bias of Foundation Model under Long-tailed Distribution Deep residual learning for image recognition

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T13:54:57.605739Z

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Observation 095fc495-0fac-482c-b4e4-531440d8b0c8 · outbound

This paper cites Parameter-efficient transfer learning for nlp.

Rethinking the Bias of Foundation Model under Long-tailed Distribution Parameter-efficient transfer learning for nlp

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:54:58.464114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation dcbbed2d-64e6-40de-9bd6-016b97becc59 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Rethinking the Bias of Foundation Model under Long-tailed Distribution LoRA: Low-Rank Adaptation of Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T13:54:57.614732Z

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Observation 90f5fdec-8000-472d-a205-ab48e7f7d72a · outbound

This paper cites Visual prompt tuning.

Rethinking the Bias of Foundation Model under Long-tailed Distribution Visual prompt tuning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T13:54:57.621282Z

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Observation 4d4f5fc0-f7bf-4c79-b9d6-d5b081ee3c53 · outbound

This paper cites Decoupling Representation and Classifier for Long-Tailed Recognition.

Rethinking the Bias of Foundation Model under Long-tailed Distribution Decoupling Representation and Classifier for Long-Tailed Recognition

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T13:54:57.625702Z

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Observation 5fcaf11a-8bf5-4e24-8e83-2ce2148c5e92 · outbound

This paper cites D., Jeong, J., and Kim, G.

Rethinking the Bias of Foundation Model under Long-tailed Distribution D., Jeong, J., and Kim, G

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:54:58.439582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 498cb763-e4e3-423b-8ac1-23bff1eae460 · outbound

This paper cites an unresolved cited work.

Rethinking the Bias of Foundation Model under Long-tailed Distribution Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T13:54:57.635073Z

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Observation 680d570f-37e3-463d-8f4a-cf2a3c0a8c8a · outbound

This paper cites Retrieval augmented classification for long-tail visual recognition.

Rethinking the Bias of Foundation Model under Long-tailed Distribution Retrieval augmented classification for long-tail visual recognition

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T13:54:57.639307Z

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Observation 47afae47-15f8-4cc2-8a03-26578f27e01b · outbound

This paper cites A Simple Long-Tailed Recognition Baseline via Vision-Language Model.

Rethinking the Bias of Foundation Model under Long-tailed Distribution A Simple Long-Tailed Recognition Baseline via Vision-Language Model

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T13:54:57.644417Z

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Observation 01585da6-62c6-46d1-bcd2-acfeb9e2fd20 · outbound

This paper cites Long-tail learning via logit adjustment.

Rethinking the Bias of Foundation Model under Long-tailed Distribution Long-tail learning via logit adjustment

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T13:54:57.649152Z

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Observation 24a07a5a-b446-4105-8e72-edb469ae4191 · outbound

This paper cites Causality.

Rethinking the Bias of Foundation Model under Long-tailed Distribution Causality

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T13:54:57.653840Z

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Observation 2df6a2e2-f56b-437c-a186-f4500125eb1c · outbound

This paper cites W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al.

Rethinking the Bias of Foundation Model under Long-tailed Distribution W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T13:54:57.658461Z

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Observation 29622cc5-b472-4f70-a397-5ab0bab35df1 · outbound

This paper cites Balanced meta-softmax for long-tailed visual recognition.

Rethinking the Bias of Foundation Model under Long-tailed Distribution Balanced meta-softmax for long-tailed visual recognition

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:54:58.393511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2e2d666b-8feb-4b7d-ae80-3e69d0fc9348 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Rethinking the Bias of Foundation Model under Long-tailed Distribution High-resolution image synthesis with latent diffusion models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T13:54:57.667452Z

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Observation 124443b8-a124-47d4-a59d-07dbff6bfa69 · outbound

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

Rethinking the Bias of Foundation Model under Long-tailed Distribution LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T13:54:57.672143Z

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Observation 1b9a1dfb-0afb-4667-a8cc-8396e3ddc383 · outbound

This paper cites R., Cogswell, M., Das, A., Vedantam, R., Parikh, D., and Batra, D.

Rethinking the Bias of Foundation Model under Long-tailed Distribution R., Cogswell, M., Das, A., Vedantam, R., Parikh, D., and Batra, D

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T13:54:57.676847Z

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Unavailable: canonical work link unavailable.

Observation d819a4d7-44a8-4827-a218-59e1735582a7 · outbound

This paper cites Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts.

Rethinking the Bias of Foundation Model under Long-tailed Distribution Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T13:54:57.681425Z

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Observation 5e9620d6-fc29-4462-80f4-59583c333adf · outbound

This paper cites Long-tail learning with foundation model: Heavy fine-tuning hurts.

Rethinking the Bias of Foundation Model under Long-tailed Distribution Long-tail learning with foundation model: Heavy fine-tuning hurts

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:54:58.357833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a2b05b44-85e7-4cfb-9836-1d6a575d1170 · outbound

This paper cites and Seo, S.-W.

Rethinking the Bias of Foundation Model under Long-tailed Distribution and Seo, S.-W

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:54:58.341529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fbeba582-8aba-4520-aaf3-706b940d6a33 · outbound

This paper cites Long-tailed classification by keeping the good and removing the bad momentum causal effect.

Rethinking the Bias of Foundation Model under Long-tailed Distribution Long-tailed classification by keeping the good and removing the bad momentum causal effect

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T13:54:57.694914Z

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Observation 71dc1204-8809-4980-8174-3055ce83e986 · outbound

This paper cites Vl-ltr: Learning class-wise visual-linguistic representation for long-tailed visual recognition.

Rethinking the Bias of Foundation Model under Long-tailed Distribution Vl-ltr: Learning class-wise visual-linguistic representation for long-tailed visual recognition

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:54:58.315215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0a438383-7fdf-4f50-9a1a-35f0c6554da2 · outbound

This paper cites The inaturalist species classification and detection dataset.

Rethinking the Bias of Foundation Model under Long-tailed Distribution The inaturalist species classification and detection dataset

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T13:54:57.703663Z

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Observation 2bab6959-e124-4e32-a405-454d3dfb4d6c · outbound

This paper cites Exploring vision-language models for imbalanced learning.

Rethinking the Bias of Foundation Model under Long-tailed Distribution Exploring vision-language models for imbalanced learning

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:54:58.288411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5966e824-1d37-4f2a-bc51-53eaaa69b5ae · outbound

This paper cites Dualprompt: Complementary prompting for rehearsal-free continual learning.

Rethinking the Bias of Foundation Model under Long-tailed Distribution Dualprompt: Complementary prompting for rehearsal-free continual learning

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:54:58.273523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ec1bd4eb-1394-40e5-9688-691fce2c849d · outbound

This paper cites Learning to prompt for continual learning.

Rethinking the Bias of Foundation Model under Long-tailed Distribution Learning to prompt for continual learning

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:54:58.257730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e2abb814-98e1-4400-9208-8f4e30980078 · outbound

This paper cites What Makes CLIP More Robust to Long-Tailed Pre-Training Data? A Controlled Study for Transferable Insights.

Rethinking the Bias of Foundation Model under Long-tailed Distribution What Makes CLIP More Robust to Long-Tailed Pre-Training Data? A Controlled Study for Transferable Insights

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T13:54:57.722663Z

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Observation 489641ef-b1b5-4332-b13d-69c49e0f541f · outbound

This paper cites Demystifying CLIP Data.

Rethinking the Bias of Foundation Model under Long-tailed Distribution Demystifying CLIP Data

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-10T13:54:57.727285Z

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Observation 4ff6ecf9-9a80-48bc-9b83-9d3fc0966c20 · outbound

This paper cites Learning imbalanced data with vision transformers.

Rethinking the Bias of Foundation Model under Long-tailed Distribution Learning imbalanced data with vision transformers

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:54:58.242566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ed3041a3-a53d-418e-9194-f4eab3618840 · outbound

This paper cites B., Ravfogel, S., and Goldberg, Y.

Rethinking the Bias of Foundation Model under Long-tailed Distribution B., Ravfogel, S., and Goldberg, Y

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-10T13:54:57.736968Z

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Observation 53552801-5fe1-473e-a4af-962c9e6b5f91 · outbound

This paper cites Generalized logit adjustment: Calibrating fine-tuned models by removing label bias in foundation models.

Rethinking the Bias of Foundation Model under Long-tailed Distribution Generalized logit adjustment: Calibrating fine-tuned models by removing label bias in foundation models

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:54:58.226711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 286ca298-e5ea-4fdd-a901-b9cef9c28813 · outbound

This paper cites P., and Jiang, Y.-G.

Rethinking the Bias of Foundation Model under Long-tailed Distribution P., and Jiang, Y.-G

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-10T13:54:57.745849Z

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Observation 65ecf185-983a-447b-a4fc-0c3fb9928acc · outbound

This paper cites write newline.

Rethinking the Bias of Foundation Model under Long-tailed Distribution write newline

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-10T13:54:57.750455Z

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Pith citing papers

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