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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 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.

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 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:33:46.360663Z

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T10:29:00.805616Z digest=sha256:f9eaab3b8045b2f1dedb2ad87a0c803e8553f8ae86d20cb5f8c4e0a0b0259b33

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:fea8adee5e2889851062febd94d2b57f15a5ca80f58f3aea3c12b163a77c88ee

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T10:29:00.814662Z digest=sha256:c6fc64c0ada00a441a7c8faa17a9564a616172d2317787d0459d4ee39d4d556d

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:d4d4304d4152644bd6fd244b1e4c8bc75588b1232958b625628a0c6d71b267a9

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T10:29:00.822845Z digest=sha256:54cd522bce48e3deabe3b7542221dde86bb7b3e4b5e488fda08628442b49fe9d

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=sha256:3819e71fa546f1657e16a928d2d4397bdedd941a83a3da68aca090727120c315

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T10:29:00.830821Z digest=sha256:afaf2a7a8705e790b93499f77d637533b1eb52e56791cbdbf15c98a2552485df

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:be5d1ba9e5ff892f56d6d844c6d988be9bfcf39047262ffc73adfd864b895b2e

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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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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T10:29:00.838294Z digest=sha256:c710e6c6b3a3489a529a21afa87048e2e5bd68474776a7ac355fcd327c02c2fe

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T10:29:00.841827Z digest=sha256:661359ab8a708e4e026ced0b267907169bbd85513e9ef744ff1e4a16a32f9cd6

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=sha256:94ca32ca5525f24231f00933a8aa870c0b23ab3ae20a75f3c45ccade8a47993c

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:b1232479a33e7cdf540a280e29ac15b4cd3e7c6d92d602f5c2835352cd0df9dd

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:de5f7e137ea81447fe15b69aa088e544645a8fe0766fbe18f57f2f648423acc8

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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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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T10:29:00.856265Z digest=sha256:445e34c7b78b089e65f92075081121fefdd4659f8ce0c47d041e35cee5676023

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T10:29:00.859686Z digest=sha256:94f1ffa9c56a0e5657b5fef3d9420783ba5ba189fee6fbc1755ccc616ff50bb4

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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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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T10:29:00.863129Z digest=sha256:ac3b658ae2758debd2ff8f03a627cee73a030b782a486d04147b101fc3d34986

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=sha256:8b6dceebeb0a7188ce37935f9fda464ccfc931f1b529eb41786eba3359066616

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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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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T10:29:00.870316Z digest=sha256:c9c614bfa694b00edd52385357bc70ea1c79d191968b08039e6624ce6b3f6a17

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:ced109435e48384a17a2779ca846cc2ded424c1760886335815b88dab31638ac

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T10:29:00.877732Z digest=sha256:d77588d02a9a0fe33e4be1991be66d9b5078fc8871fbdf0ba27b668dce33e26f

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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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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T10:29:00.881073Z digest=sha256:a04514136a1ef111b895371914d86ce3801cdd85bfe6c9a5d276ec1195e3e5b3

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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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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T10:29:00.884414Z digest=sha256:39a0a920040e67331dcfd19f552377fe30f82fea3df395acd29fef499a9fe08f

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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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=sha256:1945813f6f822a44917a0cc256d0e149d7c7ba763e87ad73bd3d60f59cbcea83

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:b7b32a5c25584341e28cda5e9d16c8f8d846efefc0e56b131c038bad199cf9d0

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:d75940f59a731fc4407f8b55b90dfb94fbb0d343c950ccc73a08a701e881ff6e

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

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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=sha256:0ee5af6ea8fa5cebb3b4c38b13f212bf25ac7ee13d16ab66a1dcd6631ebf081a

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T10:29:00.902359Z digest=sha256:f947f9187c730982c4d98b63df7cf4df4d8bbbe455d98c361c2922e78b4f9173

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

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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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T10:29:00.906662Z digest=sha256:cca0512009730a2b35205fcdc0b7e7e8b4cced5e044b4c3277c329008cbd35fc

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=sha256:7c495fd9957677c4ac33f43e242e4c415bd5fe88f82d529ffdf72e9d80978dcd

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:df8a773078a176a5adf801c42cae501a13fccbe277b35aac366048a56a3572d7

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T10:29:00.918036Z digest=sha256:579cb29ef195fcb5fd49ad606517e09dae9174af86f03b20d1fbff1aacd4b508

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

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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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T10:29:00.921612Z digest=sha256:e6ab8425cfd43c21b764f321b2b1e1f6e41729478ee299c2e5001d4b43c1b661

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T10:29:00.924907Z digest=sha256:ac0e3ab7c15932f9d3bc5bda6f2fa9bb47cf8920fae9beea2949a959585e4bdf

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

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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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T10:29:00.928638Z digest=sha256:8df26302916d5326e92c977f4270c5fb47ef0c28c4acd957b89054baf6b4233e

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:a6388d17de4fdd95110e938619329db79501eb86e0a883147411589296ba3293

Pith citing papers

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T00:33:46.360663Z digest=sha256:3aae493828589d826a5b4c8a234b3655e97d2d76b5a772812391cf2f0f93acbe