Paper Citation Record · LEDGER

Sebra: Debiasing Through Self-Guided Bias Ranking

As of 15 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2501.18277.

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

pith.paper-citation-record.v1
2501.18277 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T00:13:28.484799Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

14 of 14 outbound references displayed

verified exact0
verified fuzzy10
unresolved3
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 65296875-d1c1-423e-b54d-bec8d4717018 · outbound

This paper cites (2023): This synthetic dataset is purposefully crafted to investigate debiasing methodologies amidst multiple spurious correlations.

Sebra: Debiasing Through Self-Guided Bias Ranking (2023): This synthetic dataset is purposefully crafted to investigate debiasing methodologies amidst multiple spurious correlations

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:13:29.127726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 40b65581-d9c8-43e8-b802-4592e4ea128a · outbound

This paper cites We focus on the ’smile’ attribute as the target, with biases introduced by age and gender.

Sebra: Debiasing Through Self-Guided Bias Ranking We focus on the ’smile’ attribute as the target, with biases introduced by age and gender

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:13:29.112020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 52cf4208-492e-4427-b860-c3ab3235211c · outbound

This paper cites (2020): The Biased Action Recognition (BAR) dataset contains real-world images categorized into six action classes, each bi- ased towards particular locations.

Sebra: Debiasing Through Self-Guided Bias Ranking (2020): The Biased Action Recognition (BAR) dataset contains real-world images categorized into six action classes, each bi- ased towards particular locations

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:13:29.096009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e289f71e-f4eb-48ff-ab10-a7095fd7848c · outbound

This paper cites (2009): ImageNet-1K is a large-scale dataset consisting of over one million high-resolution images categorized into 1,000 distinct object classes.

Sebra: Debiasing Through Self-Guided Bias Ranking (2009): ImageNet-1K is a large-scale dataset consisting of over one million high-resolution images categorized into 1,000 distinct object classes

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:13:29.079437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d4e733dd-2935-4ec9-91c6-c6e09c35d6dd · outbound

This paper cites (2018): The MultiNLI (Multi-Genre Natural Language Infer- ence) dataset is a large-scale benchmark for evaluating models on the task of natural lan- guage inference (NLI).

Sebra: Debiasing Through Self-Guided Bias Ranking (2018): The MultiNLI (Multi-Genre Natural Language Infer- ence) dataset is a large-scale benchmark for evaluating models on the task of natural lan- guage inference (NLI)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:13:29.062120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 86e2905f-b8ba-46a1-87e1-d084815bb700 · outbound

This paper cites (2020) A supervised bias mitigation technique leveraging group labels to identify and mitigate biases across various groups in the training data.

Sebra: Debiasing Through Self-Guided Bias Ranking (2020) A supervised bias mitigation technique leveraging group labels to identify and mitigate biases across various groups in the training data

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:13:29.046724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6d6ac224-e6b2-4240-a785-c80fd4c64213 · outbound

This paper cites an unresolved cited work.

Sebra: Debiasing Through Self-Guided Bias Ranking Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-10T00:13:28.957358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d9f035b6-f1ff-46ca-aaf2-9e72e3d78261 · outbound

This paper cites (2020) This approach utilizes the Generalized Cross-Entropy (GCE) loss to derive a bias-only model.

Sebra: Debiasing Through Self-Guided Bias Ranking (2020) This approach utilizes the Generalized Cross-Entropy (GCE) loss to derive a bias-only model

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:13:28.854912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3091cca6-22ee-4fc3-9e36-5ac9444335a8 · outbound

This paper cites an unresolved cited work.

Sebra: Debiasing Through Self-Guided Bias Ranking Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-10T00:13:28.662198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 26cd2cf8-4f70-418b-98c2-cff5f5d619da · outbound

This paper cites (2022) Introducing a novel bias identification scheme relying on the equal opportunity violation criteria, followed by bias mitigation strategies.

Sebra: Debiasing Through Self-Guided Bias Ranking (2022) Introducing a novel bias identification scheme relying on the equal opportunity violation criteria, followed by bias mitigation strategies

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:13:28.582968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3885dd15-f69c-4d93-ae38-cddec36bd132 · outbound

This paper cites an unresolved cited work.

Sebra: Debiasing Through Self-Guided Bias Ranking Unresolved cited work

Reference 11

Resolution: malformed identifier; raw_fallback, observed 2026-08-10T00:13:28.568141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 176adda3-8e68-4888-afc9-f9e8cba0313a · outbound

This paper cites an unresolved cited work.

Sebra: Debiasing Through Self-Guided Bias Ranking Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-10T00:13:28.553149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 233832f5-c265-4fdd-bbd2-8fe96a80fe2d · outbound

This paper cites Acc) and the accuracy on groups where the specific bias is less pronounced.

Sebra: Debiasing Through Self-Guided Bias Ranking Acc) and the accuracy on groups where the specific bias is less pronounced

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:13:28.538628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2564ac0b-1621-4352-af2c-c811e4ee9cde · outbound

This paper cites It ranges from -1 (perfect negative correlation) to 1 (perfect positive correlation), with 0 indicating no correlation.

Sebra: Debiasing Through Self-Guided Bias Ranking It ranges from -1 (perfect negative correlation) to 1 (perfect positive correlation), with 0 indicating no correlation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:13:28.523128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

No inbound Pith citation observations are available.