Paper Citation Record · LEDGER

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models

As of 18 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 1 inbound Pith citation observation for arXiv:2504.12898.

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

pith.paper-citation-record.v1
2504.12898 v3

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:24:59.772291Z

measured 66 of 66 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T11:40:13.298770Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T11:40:13.559683Z

Reference resolution

65 of 65 outbound references displayed

verified exact0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d4bc9f59-15e4-44ea-9fb0-18697c174094 · outbound

This paper cites GPT-4 Technical Report.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models GPT-4 Technical Report

Reference 1

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Source-reported events for the cited work

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Observation 0717f2e6-f057-42eb-97d6-336354931aa5 · outbound

This paper cites A large annotated corpus for learning natural language inference.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models A large annotated corpus for learning natural language inference

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:25:00.690748Z

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Observation fa3304c8-bb5d-4478-8729-8eb77e2ff1db · outbound

This paper cites Fairflow: Mitigating dataset biases through undecided learning for natural language understanding.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models Fairflow: Mitigating dataset biases through undecided learning for natural language understanding

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:25:00.675573Z

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Observation efb4c813-8236-45c4-990b-6caec66e57dc · outbound

This paper cites Information Theory: Coding Theorems for Discrete Memoryless Systems.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models Information Theory: Coding Theorems for Discrete Memoryless Systems

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:25:00.661673Z

Source-reported events for the cited work

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Observation fe0419ed-ca71-4d37-85ba-4429aaf1a5d8 · outbound

This paper cites Mitigate extrinsic social bias in pre-trained language models via continuous prompts adjustment.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models Mitigate extrinsic social bias in pre-trained language models via continuous prompts adjustment

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:25:00.647477Z

Source-reported events for the cited work

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Observation 3b718ed1-4206-4776-92d0-ca900c78e76d · outbound

This paper cites Automatically constructing a corpus of sentential para- phrases.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models Automatically constructing a corpus of sentential para- phrases

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:25:00.633869Z

Source-reported events for the cited work

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Observation 976b6cf1-f4cf-4d36-b6d1-61c9b0999594 · outbound

This paper cites Towards stable natural language understanding via information entropy guided debiasing.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models Towards stable natural language understanding via information entropy guided debiasing

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:25:00.619660Z

Source-reported events for the cited work

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Observation 9df262d9-ca28-4a72-861a-c1db3b94250f · outbound

This paper cites The Llama 3 Herd of Models.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models The Llama 3 Herd of Models

Reference 8

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Observation c2069a82-2f6f-4986-be4f-79441d1df4e4 · outbound

This paper cites The Capacity for Moral Self-Correction in Large Language Models.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models The Capacity for Moral Self-Correction in Large Language Models

Reference 9

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Source-reported events for the cited work

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Observation d5a6be1b-a770-4b9e-8704-7217de6b0c42 · outbound

This paper cites Measuring massive multitask language understanding.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models Measuring massive multitask language understanding

Reference 10

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Source-reported events for the cited work

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Observation 4f7b7fd8-217c-4fc9-8385-74434e15b860 · outbound

This paper cites LoRA: Low-rank adaptation of large language models.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models LoRA: Low-rank adaptation of large language models

Reference 11

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Source-reported events for the cited work

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Observation e71214ea-9bc7-45d9-8912-cbabbc246201 · outbound

This paper cites Triviaqa: A large scale distantly supervised challenge dataset for reading comprehension.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models Triviaqa: A large scale distantly supervised challenge dataset for reading comprehension

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:25:00.587560Z

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Observation d1f2b2f7-1eb6-4567-aab0-3308e73b809e · outbound

This paper cites A survey on popularity bias in recommender systems.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models A survey on popularity bias in recommender systems

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:25:00.573224Z

Source-reported events for the cited work

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Observation 01a9b76c-967e-49b5-8928-9ed8ecc0746f · outbound

This paper cites Identifying and mitigating annotation bias in natural language under- standing using causal mediation analysis.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models Identifying and mitigating annotation bias in natural language under- standing using causal mediation analysis

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:25:00.557823Z

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Observation 9f8493ce-e01c-4c62-8813-57d75548a645 · outbound

This paper cites Truthfulqa: Measuring how models mimic human falsehoods.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models Truthfulqa: Measuring how models mimic human falsehoods

Reference 15

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Observation 20050000-c392-4772-8470-c8c9145d8dfe · outbound

This paper cites Trustworthy llms: a survey and guideline for evaluating large language models’ alignment.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models Trustworthy llms: a survey and guideline for evaluating large language models’ alignment

Reference 16

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Observation 63255c35-7659-4b13-9833-cc664c4b5f6e · outbound

This paper cites Causality inspired representation learning for domain generalization.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models Causality inspired representation learning for domain generalization

Reference 17

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Observation f8932036-6a29-4e05-a93f-b819cf0b8754 · outbound

This paper cites Feature-level debiased natural language understanding.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models Feature-level debiased natural language understanding

Reference 18

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Observation 1ffd4a45-43e7-42fd-a252-7374be287366 · outbound

This paper cites Learning word vectors for sentiment analysis.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models Learning word vectors for sentiment analysis

Reference 19

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This paper cites Right for the wrong reasons: Diagnosing syntactic heuristics in natural language inference.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models Right for the wrong reasons: Diagnosing syntactic heuristics in natural language inference

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:25:00.476157Z

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Observation 9d750140-66ff-4cfd-81b1-d11c071d6bf6 · outbound

This paper cites Effect of negation in sentences on sentiment analysis and polarity detection.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models Effect of negation in sentences on sentiment analysis and polarity detection

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:25:00.461417Z

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Observation 8f362519-87d2-4bed-942a-ef3b78e341eb · outbound

This paper cites Biases in large language models: Origins, inventory and discussion.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models Biases in large language models: Origins, inventory and discussion

Reference 22

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Observation 3d135173-fa39-4e86-8ed0-a6edd33b9502 · outbound

This paper cites Adversarial nli: A new benchmark for natural language understanding.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models Adversarial nli: A new benchmark for natural language understanding

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:25:00.432061Z

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Observation 169dc836-150b-400a-a8ee-77b01e459381 · outbound

This paper cites In-Contextual Gender Bias Suppression for Large Language Models.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models In-Contextual Gender Bias Suppression for Large Language Models

Reference 24

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Observation f4abff11-1719-45d3-847e-8203a16e11be · outbound

This paper cites Causality.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models Causality

Reference 25

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Observation 9e27f2e6-f8e3-4cae-9475-2ac9520d22f4 · outbound

This paper cites Hypothesis only baselines in natural language inference.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models Hypothesis only baselines in natural language inference

Reference 26

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Observation ae501b12-d007-4ffd-8583-18e2fb01a86f · outbound

This paper cites SQuAD: 100,000+ Questions for Machine Comprehension of Text.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models SQuAD: 100,000+ Questions for Machine Comprehension of Text

Reference 27

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Observation eecca274-3bcd-4e06-ba2b-c1f6fa1110dc · outbound

This paper cites Know what you don’t know: Unanswerable ques- tions for squad.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models Know what you don’t know: Unanswerable ques- tions for squad

Reference 28

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Observation b5521b6c-8fef-454b-8c6e-d5750ef6f53b · outbound

This paper cites Learning from others’ mistakes: Avoiding dataset biases without modeling them.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models Learning from others’ mistakes: Avoiding dataset biases without modeling them

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:25:00.379680Z

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Observation e3c5a575-c20a-4528-abf8-cc4934ae8d91 · outbound

This paper cites Self-diagnosis and self-debiasing: A proposal for reducing corpus-based bias in nlp.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models Self-diagnosis and self-debiasing: A proposal for reducing corpus-based bias in nlp

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:25:00.364596Z

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Observation 0b638ebe-026c-4293-bb7e-735c6cfeedc8 · outbound

This paper cites Towards debiasing fact verification models.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models Towards debiasing fact verification models

Reference 31

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Observation 4a867a31-1fda-4451-a429-3b698918656c · outbound

This paper cites Natural Language Understanding with the Quora Question Pairs Dataset.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models Natural Language Understanding with the Quora Question Pairs Dataset

Reference 32

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Observation 80ce04b5-fd96-460d-8956-428c5294484c · outbound

This paper cites Recursive deep models for semantic compositionality over a sentiment treebank.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models Recursive deep models for semantic compositionality over a sentiment treebank

Reference 33

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This paper cites Bias in news summarization: Measures, pitfalls and corpora.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models Bias in news summarization: Measures, pitfalls and corpora

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:25:00.327124Z

Source-reported events for the cited work

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Observation 0be05c70-4a06-42f6-95d3-c27e5aeb47cf · outbound

This paper cites Causal-guided active learning for debiasing large language models.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models Causal-guided active learning for debiasing large language models

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:25:00.312995Z

Source-reported events for the cited work

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Observation d7cab80b-5134-4086-936c-6aa5e1436e49 · outbound

This paper cites Challenging big-bench tasks and whether chain-of-thought can solve them.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models Challenging big-bench tasks and whether chain-of-thought can solve them

Reference 36

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Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models Generalized preference optimization: A unified approach to offline alignment

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:25:00.289244Z

Source-reported events for the cited work

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Observation 24bcaee2-967a-46ce-8841-d93b2bb2cb86 · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models Gemma 2: Improving Open Language Models at a Practical Size

Reference 38

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Observation 784959e0-9f84-4663-ad56-e49d659043ad · outbound

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Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 39

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Observation 2c75aaca-95ca-40d4-a7ce-9bb5b78bd0f7 · outbound

This paper cites Mind the trade-off: Debiasing nlu models without degrading the in-distribution performance.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models Mind the trade-off: Debiasing nlu models without degrading the in-distribution performance

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:25:00.275866Z

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Observation a29fbd35-6968-4d1b-a6e7-2a933f439b03 · outbound

This paper cites Towards debiasing nlu models from unknown biases.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models Towards debiasing nlu models from unknown biases

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:25:00.262159Z

Source-reported events for the cited work

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Observation 676046f0-4377-4ebc-8c23-9cf427ff1b6d · outbound

This paper cites Click-conversion multi-task model with position bias mitigation for sponsored search in ecommerce.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models Click-conversion multi-task model with position bias mitigation for sponsored search in ecommerce

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:25:00.248984Z

Source-reported events for the cited work

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Observation 446e564d-d553-4392-8a8f-e63a07413709 · outbound

This paper cites Finetuned language models are zero-shot learners.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models Finetuned language models are zero-shot learners

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:25:00.236100Z

Source-reported events for the cited work

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Observation 3467208e-ff2c-4676-82ee-7ff6fe01ea46 · outbound

This paper cites A broad-coverage challenge corpus for sentence understanding through inference.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models A broad-coverage challenge corpus for sentence understanding through inference

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:25:00.223040Z

Source-reported events for the cited work

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Observation d2d75938-5320-45a4-a024-3f5f92c25dc5 · outbound

This paper cites Counterfactual debiasing for fact verification.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models Counterfactual debiasing for fact verification

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:25:00.208771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ff72733d-b53a-48c8-b653-ace5aa5a0050 · outbound

This paper cites Mitigating biases for instruction-following language models via bias neurons elimination.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models Mitigating biases for instruction-following language models via bias neurons elimination

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:25:00.187605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8ee22b8c-640c-41a3-b0cc-944ce3ce87cb · outbound

This paper cites Razor: Sharpening knowledge by cutting bias with unsupervised text rewriting.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models Razor: Sharpening knowledge by cutting bias with unsupervised text rewriting

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:25:00.174681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8ddf5dae-965b-43ee-af6d-b5eaa0f01099 · outbound

This paper cites Paws: Paraphrase adversaries from word scrambling.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models Paws: Paraphrase adversaries from word scrambling

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:25:00.161099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2a7412ef-91b2-4f4c-a298-1ece7c3d7811 · outbound

This paper cites Lima: Less is more for alignment.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models Lima: Less is more for alignment

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:25:00.146946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation aa8be422-efb5-4697-8aaa-ecde8d50ba33 · outbound

This paper cites • The abstract and/or introduction should clearly state the claims made, including the contributions made in the paper and important assumptions and limitations.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models • The abstract and/or introduction should clearly state the claims made, including the contributions made in the paper and important assumptions and limitations

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:25:00.133224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 44886ec4-1243-4063-a2a5-bac7b76be874 · outbound

This paper cites Limitations.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models Limitations

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:25:00.119732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 47e4f88b-5212-4bb0-835b-b26b825133cc · outbound

This paper cites Guidelines: • The answer NA means that the paper does not include theoretical results.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models Guidelines: • The answer NA means that the paper does not include theoretical results

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:25:00.106204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 34d4aa2b-efa2-44db-9bb5-75fb70286d54 · outbound

This paper cites We also submit the code and data in the supplemental material.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models We also submit the code and data in the supplemental material

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:25:00.092247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a2a3db42-5f34-422c-b651-414eb5ce5da1 · outbound

This paper cites Guidelines: • The answer NA means that paper does not include experiments requiring code.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models Guidelines: • The answer NA means that paper does not include experiments requiring code

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:25:00.076934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation dbfb5040-3a08-4169-b6f5-9da335bdde3a · outbound

This paper cites Some other details such as the biased features and prompts for data rewriting are provided in appendix and supplemental material.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models Some other details such as the biased features and prompts for data rewriting are provided in appendix and supplemental material

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:25:00.063150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cfd46499-6dbf-4c27-ac3b-954f33cf0418 · outbound

This paper cites Guidelines: • The answer NA means that the paper does not include experiments.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models Guidelines: • The answer NA means that the paper does not include experiments

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:25:00.049328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7617437d-b8da-41f1-84df-42951e15c5c2 · outbound

This paper cites Guidelines: • The answer NA means that the paper does not include experiments.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models Guidelines: • The answer NA means that the paper does not include experiments

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:25:00.034487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0750d053-ad9d-40e3-a466-29e6840e11f7 · outbound

This paper cites We also follow the licenses when using publicly available datasets.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models We also follow the licenses when using publicly available datasets

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:25:00.018649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c84e4711-0ce0-4213-a75b-fe4d0178e5b3 · outbound

This paper cites Guidelines: • The answer NA means that there is no societal impact of the work performed.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models Guidelines: • The answer NA means that there is no societal impact of the work performed

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:25:00.002861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4ffb4830-e753-426a-899f-a65bf438cf24 · outbound

This paper cites Guidelines: • The answer NA means that the paper poses no such risks.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models Guidelines: • The answer NA means that the paper poses no such risks

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:24:59.988259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0fac40e6-5955-4769-a412-969e032ebc9a · outbound

This paper cites We also follow the the license and terms of use of corresponding LLMs and data.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models We also follow the the license and terms of use of corresponding LLMs and data

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:24:59.973891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6e64291e-35dc-4316-8d97-392b34fc2a0c · outbound

This paper cites Guidelines: • The answer NA means that the paper does not release new assets.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models Guidelines: • The answer NA means that the paper does not release new assets

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:24:59.959579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7951977e-f47b-4b98-980b-b9139b3d9f03 · outbound

This paper cites Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-16T12:24:59.764333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ab6db33-6dcc-4a4a-8c6d-72fb07be21f0 · outbound

This paper cites • Depending on the country in which research is conducted, IRB approval (or equivalent) may be required for any human subjects research.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models • Depending on the country in which research is conducted, IRB approval (or equivalent) may be required for any human subjects research

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:24:59.936724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 59b314a2-71ec-4745-a511-d4a5e4064466 · outbound

This paper cites Answer: [NA] Justification: We use LLM for writing and editing.

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models Answer: [NA] Justification: We use LLM for writing and editing

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:24:59.922397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

Observation 0f7f048a-1144-4ac2-862c-4c9a136359dd · inbound

EmoPerso: Enhancing Personality Detection with Self-Supervised Emotion-Aware Modelling cites this paper.

EmoPerso: Enhancing Personality Detection with Self-Supervised Emotion-Aware Modelling Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-08-05T11:40:13.563564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.