Paper Citation Record · LEDGER

A Decade's Battle on Dataset Bias: Are We There Yet?

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2403.08632.

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

pith.paper-citation-record.v1
2403.08632 v2

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 2026-08-12T06:34:41.77262+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:57:20.756095Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T13:34:53.113469Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 8014286d-bd54-4167-98bd-c91aa04ef849 · inbound

Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs cites this paper.

Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs A Decade's Battle on Dataset Bias: Are We There Yet?

Reference 87

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T00:05:03.673907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2b3a54ae-fe4a-47d2-a4a6-321623833ae2 · inbound

Understanding Bias in Large-Scale Visual Datasets cites this paper.

Understanding Bias in Large-Scale Visual Datasets A Decade's Battle on Dataset Bias: Are We There Yet?

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-12T00:57:20.756095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfc68f3d-4c9e-4bd9-8630-efad9805cd94 · inbound

Enhance Vision-Language Alignment with Noise cites this paper.

Enhance Vision-Language Alignment with Noise A Decade's Battle on Dataset Bias: Are We There Yet?

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T15:43:08.036929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16310fdf-4b40-4d1e-8e4b-89daeb8d537c · inbound

Low-Biased General Annotated Dataset Generation cites this paper.

Low-Biased General Annotated Dataset Generation A Decade's Battle on Dataset Bias: Are We There Yet?

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T15:38:07.009597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d85e04b4-741c-490e-b1e5-b9fd8d163b63 · inbound

MetaMorph: Multimodal Understanding and Generation via Instruction Tuning cites this paper.

MetaMorph: Multimodal Understanding and Generation via Instruction Tuning A Decade's Battle on Dataset Bias: Are We There Yet?

Reference 165

Resolution: verified exact; arxiv_id, observed 2026-05-17T07:51:13.202799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c9898231-9276-4cce-ac0d-11391c98d873 · inbound

Zero-shot Video Moment Retrieval via Off-the-shelf Multimodal Large Language Models cites this paper.

Zero-shot Video Moment Retrieval via Off-the-shelf Multimodal Large Language Models A Decade's Battle on Dataset Bias: Are We There Yet?

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:12.217303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75832a51-976c-45a1-ae3d-dddaa45c694a · inbound

Advancing Multi-Agent RAG Systems with Minimalist Reinforcement Learning cites this paper.

Advancing Multi-Agent RAG Systems with Minimalist Reinforcement Learning A Decade's Battle on Dataset Bias: Are We There Yet?

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-22T13:34:53.116274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a4c2d6cf-8806-41b9-b72f-2ba4e2ba82d5 · inbound

Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays cites this paper.

Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays A Decade's Battle on Dataset Bias: Are We There Yet?

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T18:38:54.414487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2a72031-df3d-4a4d-aaba-f2d038d2490f · inbound

Prompt the Unseen: Evaluating Visual-Language Alignment Beyond Supervision cites this paper.

Prompt the Unseen: Evaluating Visual-Language Alignment Beyond Supervision A Decade's Battle on Dataset Bias: Are We There Yet?

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T13:24:17.609274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 554134e8-651d-4629-b033-6d8068af2ab5 · inbound

DeconDTN-Toolkit: A Library for Evaluation and Enhancement of Robustness to Provenance Shift cites this paper.

DeconDTN-Toolkit: A Library for Evaluation and Enhancement of Robustness to Provenance Shift A Decade's Battle on Dataset Bias: Are We There Yet?

Reference 116

Resolution: verified exact; arxiv_id, observed 2026-05-13T02:17:06.769908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 63a4405d-fb6e-46d6-b306-8f1daac5abce · inbound

Dataset-Origin Signatures and Shortcut Learning in Screening Mammography AI: A Cross-Dataset Case Study cites this paper.

Dataset-Origin Signatures and Shortcut Learning in Screening Mammography AI: A Cross-Dataset Case Study A Decade's Battle on Dataset Bias: Are We There Yet?

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-01T23:29:24.993420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.