Paper Citation Record · LEDGER

Counterfactual Reward Model Training for Bias Mitigation in Multimodal Reinforcement Learning

As of 20 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2508.19567.

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

pith.paper-citation-record.v1
2508.19567 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:44:39.682811Z

measured 14 of 14 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 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 exact2
verified fuzzy2
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1cf30fcf-e54a-45fa-9ab9-c9fea9ad904a · outbound

This paper cites Unsupervised Concept Drift Detection from Deep Learning Representations in Real-time.

Counterfactual Reward Model Training for Bias Mitigation in Multimodal Reinforcement Learning Unsupervised Concept Drift Detection from Deep Learning Representations in Real-time

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T15:44:40.886960Z

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 0054fdc0-6a7b-4d2a-954e-9f7e225cbcba · outbound

This paper cites Bubbling of K\"ahler-Einstein metrics.

Counterfactual Reward Model Training for Bias Mitigation in Multimodal Reinforcement Learning Bubbling of K\"ahler-Einstein metrics

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T15:44:38.462427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6687d88d-2e56-49f3-ac17-78c763673605 · outbound

This paper cites Pinpoint Counterfactuals: Reducing social bias in foundation models via localized counterfactual generation.

Counterfactual Reward Model Training for Bias Mitigation in Multimodal Reinforcement Learning Pinpoint Counterfactuals: Reducing social bias in foundation models via localized counterfactual generation

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-05T15:44:40.151591Z

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 7c1c29ba-f599-4abb-8e1f-7192e8ac808e · outbound

This paper cites On the Algorithmic Bias of Aligning Large Language Models with RLHF: Preference Collapse and Matching Regularization.

Counterfactual Reward Model Training for Bias Mitigation in Multimodal Reinforcement Learning On the Algorithmic Bias of Aligning Large Language Models with RLHF: Preference Collapse and Matching Regularization

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T15:44:38.622610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93716715-9978-42be-a103-bf34678de6da · outbound

This paper cites ACL Long Paper (2025).

Counterfactual Reward Model Training for Bias Mitigation in Multimodal Reinforcement Learning ACL Long Paper (2025)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:44:41.374021Z

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 7c5af0fe-90f3-4854-93b8-aefbc3283826 · outbound

This paper cites Axioms for AI Alignment from Human Feedback.

Counterfactual Reward Model Training for Bias Mitigation in Multimodal Reinforcement Learning Axioms for AI Alignment from Human Feedback

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T15:44:38.879132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b4df1d4-e9d8-435f-ae1b-2cbf8d1d07bf · outbound

This paper cites RewardBench: Evaluating Reward Models for Language Modeling.

Counterfactual Reward Model Training for Bias Mitigation in Multimodal Reinforcement Learning RewardBench: Evaluating Reward Models for Language Modeling

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T15:44:38.975171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 923a96db-b7f5-4e3f-8c12-29fc44fb86ba · outbound

This paper cites Safe RLHF: Safe Reinforcement Learning from Human Feedback.

Counterfactual Reward Model Training for Bias Mitigation in Multimodal Reinforcement Learning Safe RLHF: Safe Reinforcement Learning from Human Feedback

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T15:44:39.099633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79ff5b0a-2487-4a5b-988f-5aaa386772ad · outbound

This paper cites IJCAI (2024).

Counterfactual Reward Model Training for Bias Mitigation in Multimodal Reinforcement Learning IJCAI (2024)

Reference 9

Resolution: verified exact; doi, observed 2026-08-05T15:44:39.890905Z

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 a68d5bed-fb1d-4a56-9f91-be3f92577fb8 · outbound

This paper cites F AccT (2024).

Counterfactual Reward Model Training for Bias Mitigation in Multimodal Reinforcement Learning F AccT (2024)

Reference 10

Resolution: metadata mismatch; raw_fallback, observed 2026-08-05T15:44:40.665521Z

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 a4af2564-5cdd-4f01-a626-dd9f741fb5ef · outbound

This paper cites NeurIPS Workshops (2024).

Counterfactual Reward Model Training for Bias Mitigation in Multimodal Reinforcement Learning NeurIPS Workshops (2024)

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T15:44:39.360105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d59fb5e-1a28-4c03-9309-037afe1233a1 · outbound

This paper cites Improving Real-Time Concept Drift Detection using a Hybrid Transformer-Autoencoder Framework.

Counterfactual Reward Model Training for Bias Mitigation in Multimodal Reinforcement Learning Improving Real-Time Concept Drift Detection using a Hybrid Transformer-Autoencoder Framework

Reference 12

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T15:44:40.354785Z

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 f32b68ef-3f2b-4d9b-89dd-26e0656748e7 · outbound

This paper cites arXiv preprint (2023).

Counterfactual Reward Model Training for Bias Mitigation in Multimodal Reinforcement Learning arXiv preprint (2023)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:44:41.127320Z

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 e1b5eae3-ff19-4adf-a37f-730502636d27 · outbound

This paper cites The doubly librating Plutinos.

Counterfactual Reward Model Training for Bias Mitigation in Multimodal Reinforcement Learning The doubly librating Plutinos

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T15:44:39.682811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.