Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-09T10:29:00.932615Z
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 1 inbound Pith citation observation for arXiv:2502.02966.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-09T10:29:00.932615Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T00:33:46.360663Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T00:33:50.279408Z
35 of 35 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 4e81ebdf-6b84-4027-8117-1ef9f9a6dfa7 · outbound
FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems N., Bates, S., et al
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9ae523cb-0960-423f-b739-dbbd09f81c6b · outbound
FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ed16d062-c657-4e05-9543-5e02f224f15f · outbound
FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems On accumulation points of volumes of stable surfaces with one cyclic quotient singularity
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1d6b2b15-8ee8-4f04-ab8f-3148f803108f · outbound
FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems M., Gebru, T., McMillan-Major, A., and Shmitchell, S
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8324ab93-2cd8-484b-8fa3-73b9ab82c731 · outbound
FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems Language (technology) is power: A critical survey of "bias" in nlp
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ee7b4c2f-b0fb-4e38-8e7a-1ae2c6d995e8 · outbound
FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems Nuanced metrics for measuring unintended bias with real data for text classification
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e887e711-35a9-4bbf-a5b6-12267769ac51 · outbound
FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems Language models are few-shot learners
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e8db3b7a-3086-49d5-97b1-2ac9ec155c59 · outbound
FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 15a3ab44-c616-4a8f-83ca-f3a7b0d89ca0 · outbound
FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems Bert: Pre-training of deep bidirectional transformers for language understanding
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 192c6ddb-5c70-4522-be36-32dee7500680 · outbound
FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems Multi-dimensional gender bias classification
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 61d9c55f-aba4-4ce4-8f40-f244765b932c · outbound
FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems The Llama 3 Herd of Models
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2500a033-d982-4f75-b92d-6b4fb40cd2ac · outbound
FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems Fairness through awareness
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ef0c2cd2-6ed6-4ab8-b0fc-8ff38d5bc9f6 · outbound
FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems User-item fairness tradeoffs in recommendations
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 60766bb6-103e-48f0-bc3d-4b869ed22310 · outbound
FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems Unresolved cited work
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d81797e5-a9c7-4323-a602-3c0c275e535c · outbound
FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems and McAuley, J
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation dbdab464-ef12-44ee-ae4a-b885cb65507d · outbound
FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems Unresolved cited work
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f8c1b134-f22e-4e5c-8d00-9ca07672e497 · outbound
FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems UP5: Unbiased Foundation Model for Fairness-aware Recommendation
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cb146965-cd39-4f5e-a77e-7314dc1c8aae · outbound
FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems a rvelin, K. and Kek \
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation bdcd5427-2154-451d-8c25-3d41afdd7a90 · outbound
FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems Mistral 7B
Reference 19
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e98aa667-aadc-4a4a-8c07-fd996abd2ffa · outbound
FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems and Bamman, D
Reference 20
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 622a8f1a-5a46-44a2-b85b-692f733c55e0 · outbound
FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems Learning adversarially fair and transferable representations
Reference 21
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d11fd040-5e46-491c-81a3-49b3dd977738 · outbound
FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems Image-based recommendations on styles and substitutes
Reference 22
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 37c9d631-f3b0-4e84-9592-88f14c311d9b · outbound
FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems Training language models to follow instructions with human feedback
Reference 23
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c2c0da9c-99c7-4de7-b1d9-a0eb7d8f2d90 · outbound
FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Reference 24
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 257a541f-d7ba-4817-b4ca-77036acd9c81 · outbound
FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm
Reference 25
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation edee6293-db28-4821-b19d-7d6eab6542ba · outbound
Reference 26
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 597a9632-9ef1-45c9-b92d-65b66b92d2a3 · outbound
FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems Unresolved cited work
Reference 27
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 83085bb6-53df-436b-bfe7-dda97b3e3bc0 · outbound
FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems The woman worked as a babysitter: On biases in language generation
Reference 28
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6fe6822b-f015-45bb-abca-2419774e3aff · outbound
FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems Mitigating Gender Bias in Natural Language Processing: Literature Review
Reference 29
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 25e60bc5-e0e3-494b-a141-2af4017a9d8d · outbound
FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems Llama 2: Open Foundation and Fine-Tuned Chat Models
Reference 30
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ab9e2661-00be-47ec-8c65-0d722f77376d · outbound
FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems Towards fairness in text classification: An overview of mitigation strategies
Reference 31
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 325a1260-966b-40db-b7ec-7000fb6c4bdd · outbound
FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems Let's erase: Prompt-based mitigation of textual bias
Reference 32
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b011086b-d5fe-41f3-aade-4def582da20d · outbound
FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems Is chatgpt fair for recommendation? evaluating fairness in large language model recommendation
Reference 33
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 56a5def4-6192-47ef-a007-22b545455bb5 · outbound
FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems Gender bias in coreference resolution: Evaluation and debiasing methods
Reference 34
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d5869cc2-744d-4007-bccc-62122515f82b · outbound
FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems write newline
Reference 35
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d0383e58-0ebb-4ad5-b32d-bb081e6fdc2f · inbound
MARCO: Hardware-Aware Neural Architecture Search for Edge Devices with Multi-Agent Reinforcement Learning and Conformal Prediction Filtering FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.