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Paper Citation Record · LEDGER

FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems

As of 23 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 2 inbound Pith citation observations for arXiv:2502.02966.

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

pith.paper-citation-record.v1
2502.02966 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T10:29:00.932615Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:35:58.110111Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T00:33:50.279408Z

Reference resolution

35 of 35 outbound references displayed

  • verified exact0
  • verified fuzzy15
  • unresolved19
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4e81ebdf-6b84-4027-8117-1ef9f9a6dfa7 · outbound

This paper cites N., Bates, S., et al.

FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems N., Bates, S., et al

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-09T10:29:01.318606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T10:29:00.805616Z digest=sha256:341ed90fcabbb1c6d63860a9921796c7f8790c3d0648f66a7177b06ed24200ad

Observation 9ae523cb-0960-423f-b739-dbbd09f81c6b · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

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

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no resolver link, observed 2026-08-09T10:29:00.810315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:29:00.810315Z digest=sha256:760661032d9a31fdcec582965774e02396e31179648a5f00b4d9bca661d3db89

Observation ed16d062-c657-4e05-9543-5e02f224f15f · outbound

This paper cites On accumulation points of volumes of stable surfaces with one cyclic quotient singularity.

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

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metadata mismatch
local_arxiv, observed 2026-08-09T10:29:01.065841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T10:29:00.814662Z digest=sha256:6d8cbf0c95ac8c6a89fed8303496e07ef5025c52bb054959a69a90c3fb628e42

Observation 1d6b2b15-8ee8-4f04-ab8f-3148f803108f · outbound

This paper cites M., Gebru, T., McMillan-Major, A., and Shmitchell, S.

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

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no resolver link, observed 2026-08-09T10:29:00.819095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:29:00.819095Z digest=sha256:b60e3fe5bfbc6fcb2d222a382683f2124ccc60aaec9e20d771173197b7e49804

Observation 8324ab93-2cd8-484b-8fa3-73b9ab82c731 · outbound

This paper cites Language (technology) is power: A critical survey of "bias" in nlp.

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

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verified fuzzy
raw_fallback, observed 2026-08-09T10:29:01.301233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T10:29:00.822845Z digest=sha256:0e32bf165c8d3ad732d8e51fcac261dc1066750edc53699c93ac07e03282331b

Observation ee7b4c2f-b0fb-4e38-8e7a-1ae2c6d995e8 · outbound

This paper cites Nuanced metrics for measuring unintended bias with real data for text classification.

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

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no resolver link, observed 2026-08-09T10:29:00.826603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:29:00.826603Z digest=sha256:45972375c16ac96a0f228287e5a568418c8ea46c1b91ab67021acf677b68e1ba

Observation e887e711-35a9-4bbf-a5b6-12267769ac51 · outbound

This paper cites Language models are few-shot learners.

FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems Language models are few-shot learners

Reference 7

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raw_fallback, observed 2026-08-09T10:29:01.282848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T10:29:00.830821Z digest=sha256:d4483539a7afd38b5e13c1dcd56ff693c709f2d1abf5b7f27770222706400ba5

Observation e8db3b7a-3086-49d5-97b1-2ac9ec155c59 · outbound

This paper cites Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization.

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

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no resolver link, observed 2026-08-09T10:29:00.834353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:29:00.834353Z digest=sha256:bbe3ee9799118b24d18f003f544a8de0b8dd1d7c5c3191135cbf3063efb82b0f

Observation 15a3ab44-c616-4a8f-83ca-f3a7b0d89ca0 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.

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

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verified fuzzy
raw_fallback, observed 2026-08-09T10:29:01.271373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T10:29:00.838294Z digest=sha256:878c24ff0556d3572e86694b336e7b5762bb0698f48e01aeab4b4b271a8b9a3d

Observation 192c6ddb-5c70-4522-be36-32dee7500680 · outbound

This paper cites Multi-dimensional gender bias classification.

FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems Multi-dimensional gender bias classification

Reference 10

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raw_fallback, observed 2026-08-09T10:29:01.260421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T10:29:00.841827Z digest=sha256:7f13a7c88c7d1655855a117c79000e33dc1a5e1d3de880ec59a90a62a98e800b

Observation 61d9c55f-aba4-4ce4-8f40-f244765b932c · outbound

This paper cites The Llama 3 Herd of Models.

FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems The Llama 3 Herd of Models

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:29:00.845250Z digest=sha256:e8249621ff085f742f722024751e3a18569d328d44a5a1ab68e2e2539a09aeb0

Observation 2500a033-d982-4f75-b92d-6b4fb40cd2ac · outbound

This paper cites Fairness through awareness.

FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems Fairness through awareness

Reference 12

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no resolver link, observed 2026-08-09T10:29:00.849234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:29:00.849234Z digest=sha256:dfebbd957cbd3883cc2b8cbca6f68f95503f563c1b23e7dba5f16c61284741b4

Observation ef0c2cd2-6ed6-4ab8-b0fc-8ff38d5bc9f6 · outbound

This paper cites User-item fairness tradeoffs in recommendations.

FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems User-item fairness tradeoffs in recommendations

Reference 13

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no resolver link, observed 2026-08-09T10:29:00.852622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:29:00.852622Z digest=sha256:946febc57de9b05ea8f89ab290e2b776976fdd55297fd39a43ad13aebc8f6af7

Observation 60766bb6-103e-48f0-bc3d-4b869ed22310 · outbound

This paper cites an unresolved cited work.

FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems Unresolved cited work

Reference 14

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unresolved
raw_fallback, observed 2026-08-09T10:29:01.243001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T10:29:00.856265Z digest=sha256:6ce47a742e30c7ae047628512fbd4366660620b3b0a8a546f8c63ee4c5b40adf

Observation d81797e5-a9c7-4323-a602-3c0c275e535c · outbound

This paper cites and McAuley, J.

FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems and McAuley, J

Reference 15

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raw_fallback, observed 2026-08-09T10:29:01.232628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T10:29:00.859686Z digest=sha256:efae0434f4b04ee15610ccd7afcfbc5e696741e99a0ed4adf4e3f512fd1a1be5

Observation dbdab464-ef12-44ee-ae4a-b885cb65507d · outbound

This paper cites an unresolved cited work.

FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems Unresolved cited work

Reference 16

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unresolved
raw_fallback, observed 2026-08-09T10:29:01.221265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T10:29:00.863129Z digest=sha256:3aef65b84bb97e96cc73845440f7e752c748c7ac73467199ac84253eedeafa4a

Observation f8c1b134-f22e-4e5c-8d00-9ca07672e497 · outbound

This paper cites UP5: Unbiased Foundation Model for Fairness-aware Recommendation.

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

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no resolver link, observed 2026-08-09T10:29:00.866543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:29:00.866543Z digest=sha256:d80a3c3a62481d44fe70878f35102f524dcf5548b941b382b5aa5baa7fe41d87

Observation cb146965-cd39-4f5e-a77e-7314dc1c8aae · outbound

This paper cites a rvelin, K. and Kek \.

FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems a rvelin, K. and Kek \

Reference 18

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verified fuzzy
raw_fallback, observed 2026-08-09T10:29:01.210378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T10:29:00.870316Z digest=sha256:ab166b9c8b15044f5bd1d96d4c0ae4eee4f90eea0bfb83b062e2098cdafe10c4

Observation bdcd5427-2154-451d-8c25-3d41afdd7a90 · outbound

This paper cites Mistral 7B.

FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems Mistral 7B

Reference 19

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no resolver link, observed 2026-08-09T10:29:00.873794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:29:00.873794Z digest=sha256:924b9cd87ddabbb6a55a556938d994c824dff9b19788ec893e1b598e3b52f53c

Observation e98aa667-aadc-4a4a-8c07-fd996abd2ffa · outbound

This paper cites and Bamman, D.

FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems and Bamman, D

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-09T10:29:01.199457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T10:29:00.877732Z digest=sha256:80900b7347968282d6f9eb614a72f4bad3e3eda08561dee4e61c7882eef00f80

Observation 622a8f1a-5a46-44a2-b85b-692f733c55e0 · outbound

This paper cites Learning adversarially fair and transferable representations.

FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems Learning adversarially fair and transferable representations

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-09T10:29:01.188688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T10:29:00.881073Z digest=sha256:cfb4b24704fd1cd9b0eb346fcca69547442fe1d7db5d55d039e06264fcabb025

Observation d11fd040-5e46-491c-81a3-49b3dd977738 · outbound

This paper cites Image-based recommendations on styles and substitutes.

FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems Image-based recommendations on styles and substitutes

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-09T10:29:01.177964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T10:29:00.884414Z digest=sha256:31c1a24591dd78d6173706e49cfd6e1f302d242a46fc0e6069b35e8a8ad43f22

Observation 37c9d631-f3b0-4e84-9592-88f14c311d9b · outbound

This paper cites Training language models to follow instructions with human feedback.

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

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unresolved
no resolver link, observed 2026-08-09T10:29:00.887751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:29:00.887751Z digest=sha256:ea4dd0093056ed84d510a4f54c29716735fc60188381846498ece335004acc14

Observation c2c0da9c-99c7-4de7-b1d9-a0eb7d8f2d90 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

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

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no resolver link, observed 2026-08-09T10:29:00.891323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:29:00.891323Z digest=sha256:9fe3fbd6c168a59021e6c714442514fdec1d69126e1cf24b04765fd40f096bc0

Observation 257a541f-d7ba-4817-b4ca-77036acd9c81 · outbound

This paper cites Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm.

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

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no resolver link, observed 2026-08-09T10:29:00.895188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:29:00.895188Z digest=sha256:543909e6b64c66d75666f9fdd13ddf707585ba824c982ab2242717dfb47a2ad5

Observation edee6293-db28-4821-b19d-7d6eab6542ba · outbound

This paper cites and Vovk, V.

FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems and Vovk, V

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-09T10:29:00.898822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:29:00.898822Z digest=sha256:5ccadec9580ea375fd1be22b26ea82b7b5253f06c16fa38af6f93a33b0b54bea

Observation 597a9632-9ef1-45c9-b92d-65b66b92d2a3 · outbound

This paper cites an unresolved cited work.

FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems Unresolved cited work

Reference 27

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unresolved
raw_fallback, observed 2026-08-09T10:29:01.153346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T10:29:00.902359Z digest=sha256:19a1b3c4bbaf122ff3fc59a2e43fa0fb9f942cf7a284762e9f4a560c0332572c

Observation 83085bb6-53df-436b-bfe7-dda97b3e3bc0 · outbound

This paper cites The woman worked as a babysitter: On biases in language generation.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:29:01.141288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T10:29:00.906662Z digest=sha256:fb4c63f9f480f091fc2fc8eacbe36c18c9a8d0873a51055c03045fd969a2f512

Observation 6fe6822b-f015-45bb-abca-2419774e3aff · outbound

This paper cites Mitigating Gender Bias in Natural Language Processing: Literature Review.

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

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unresolved
no resolver link, observed 2026-08-09T10:29:00.910251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:29:00.910251Z digest=sha256:b86cb8beba27d0ea23204cc6950ab00572f5897d9c0e24e298c53d7fe3e9a5b3

Observation 25e60bc5-e0e3-494b-a141-2af4017a9d8d · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

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

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no resolver link, observed 2026-08-09T10:29:00.914069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:29:00.914069Z digest=sha256:c51a5feda8fea97a5cfc9e4d634bb1814d5d43f615f09a09a9a6764662b5987b

Observation ab9e2661-00be-47ec-8c65-0d722f77376d · outbound

This paper cites Towards fairness in text classification: An overview of mitigation strategies.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:29:01.130027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T10:29:00.918036Z digest=sha256:918a88887021bd456065e1b2f00e0a447df2c938b7553494e8991958fab18e69

Observation 325a1260-966b-40db-b7ec-7000fb6c4bdd · outbound

This paper cites Let's erase: Prompt-based mitigation of textual bias.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:29:01.119035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T10:29:00.921612Z digest=sha256:0f587b68d355866be9d43fd4d724d964b60b9c463a8b7188f592d339123d42ee

Observation b011086b-d5fe-41f3-aade-4def582da20d · outbound

This paper cites Is chatgpt fair for recommendation? evaluating fairness in large language model recommendation.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:29:01.107437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T10:29:00.924907Z digest=sha256:79f75aeb31a5da5edfb8bc7bda8ea8bf7bc08de49fe8b9e2a4ee5246171ad885

Observation 56a5def4-6192-47ef-a007-22b545455bb5 · outbound

This paper cites Gender bias in coreference resolution: Evaluation and debiasing methods.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:29:01.096004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T10:29:00.928638Z digest=sha256:788943b28b0838b467b410003ef98401faa8aae99783b6f456d929b932cdc1e9

Observation d5869cc2-744d-4007-bccc-62122515f82b · outbound

This paper cites write newline.

FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems write newline

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-09T10:29:00.932615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:29:00.932615Z digest=sha256:5c8b57891557e68ab7967b1065efaf2fc0abd6d13a1c4c47573341a1b86a5c5d

Pith citing papers

Observation 189ef852-f4e3-4346-9c93-2c7e47636a71 · inbound

Preserving Privacy and Utility in LLM-Based Product Recommendations cites this paper.

Preserving Privacy and Utility in LLM-Based Product Recommendations FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-16T04:35:58.110111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:35:58.110111Z digest=sha256:8ea27706dd92391955c1e6da092a983b87f196990bc4f11ca5ae74b48e3c185f

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 cites this paper.

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

Resolution
verified exact
local_arxiv, observed 2026-08-07T00:33:50.411357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:33:46.360663Z digest=sha256:4b73144143cf3257b20363d2acd316662fcb85279978c208ef6d124083b52c15