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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 20 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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T10:29:00.805616Z digest=sha256:9b31a599aa719638f5445d0d2f70f96f4a2238c7c1f74313bcd8f85400287ab1

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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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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T10:29:00.814662Z digest=sha256:b3ab9724f5ff7c13e9c7b6e55a9ff55d07e53fb747c273e10cd5e33e3e154676

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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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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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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T10:29:00.822845Z digest=sha256:52534e95385daa75618de5295bfa9e911cc12b124c8d47b6016cd43cee78f2a0

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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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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T10:29:00.830821Z digest=sha256:6b57e96c8fadc21904cb1c1c8df5c9da37729910fd56280b6668faf071f45b17

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:29:00.834353Z digest=sha256:155e436a53bbd57af2b2123417c68ff72a685027271768038ab0727e90435e2d

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T10:29:00.838294Z digest=sha256:2d84780c74c52abce8c16bedff63c82562afa8fa5581e478c00e03ecc947a7cd

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T10:29:00.841827Z digest=sha256:78c28c12bb0b3a3509b4df61a082a3bc5f4583e88a1c9a64b457d3c44dbbaba3

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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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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T10:29:00.856265Z digest=sha256:0beb4904e9ee28d08360f275be03539b7587ac9ef7a0af475b05acbabf6dbd2d

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T10:29:00.859686Z digest=sha256:0437707ab0e161863d1206fa1d3095846719db1276d0b36d52940ec7e8d1f49b

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T10:29:00.863129Z digest=sha256:59eea19c1bfd2b8209b324c15127e49758df413b6734cdfdc59a2544c59b75b9

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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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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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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T10:29:00.870316Z digest=sha256:54337cd75118575b9dea45c8e6d74802dc730722f10b4b1cc6b6e0ae3cf9d4cc

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

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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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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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T10:29:00.877732Z digest=sha256:29aeae6f970b2d6a22f50f7a664e294ececacb0b7b1c8eb260f2df21be0e71cd

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T10:29:00.881073Z digest=sha256:ea43acebdd3b0995b7df921422e514294080af5741741c0abe9935db12c1f5b9

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T10:29:00.884414Z digest=sha256:e1d6f82c3b9c1851c18c5b6297266e865037a8cb78c9995ab68176271f897497

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: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

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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

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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=sha256:5ccadec9580ea375fd1be22b26ea82b7b5253f06c16fa38af6f93a33b0b54bea

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T10:29:00.902359Z digest=sha256:f1a8d8ab33751875d062493d99280f722db6099615944b899974b3839279fe25

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T10:29:00.906662Z digest=sha256:e048c20c675e1542b3eaf0b12ac7e23d3b5244c0c16650322de36b6912b848d4

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T10:29:00.918036Z digest=sha256:518949dc35e5ab0058b2d6213f3489bd101cbe437ef77fbe93061475a8b55c6b

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T10:29:00.921612Z digest=sha256:42469a35b372b7b3b314456cf5695a9c0cee8ff8673bc9cdc58d4b9b991df53d

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T10:29:00.924907Z digest=sha256:4fbbad627aeb31b13aefba37249b333b8658e614c870d5b52d0f28b9ccaa0158

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-09T10:29:00.928638Z digest=sha256:e1d2f4a7b35e2b6ee435072f2b7a74f48319230e688d658ecd90933ee55d74bd

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:33:46.360663Z digest=sha256:27d2308a4d796f36364b24fd392e75d433818eb445ec9036b31b945548df82b2