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Paper Citation Record · LEDGER

Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models

As of 19 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 1 inbound Pith citation observation for arXiv:2506.00911.

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

pith.paper-citation-record.v1
2506.00911 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:01:40.658697Z

measured 49 of 49 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T09:57:46.960346Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T10:37:56.501480Z

Reference resolution

48 of 48 outbound references displayed

  • verified exact0
  • verified fuzzy13
  • unresolved33
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 59d99fb6-175d-4b61-826d-367e60cdc5a3 · outbound

This paper cites Mitigating LLM Hallucinations via Conformal Abstention.

Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models Mitigating LLM Hallucinations via Conformal Abstention

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:01:38.221492Z digest=sha256:ac48466e31aa9f4cb0f13aff8281f46786bd0d1029589453a76c0e95cc4a6286

Observation 790480a9-e059-4f4b-88e1-684fda24fd73 · outbound

This paper cites AutoMix: Automatically Mixing Language Models.

Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models AutoMix: Automatically Mixing Language Models

Reference 2

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source=arxiv_source observed=2026-08-07T12:01:38.266237Z digest=sha256:b5dd844d2f8fd71ad2368ffbeabcbc0443845b611c60a8a770b0aeae7a895a45

Observation cfa3ec4f-5972-4054-af50-329194b9cede · outbound

This paper cites A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification.

Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification

Reference 3

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source=arxiv_source observed=2026-08-07T12:01:38.277192Z digest=sha256:db2b039b55ad9e0b2fe9bfe9a8b083e6424871e321c333a49715e2b4d23e2ae9

Observation a59d8c8e-468b-487f-951c-aa3f1940da73 · outbound

This paper cites Conformal risk control.

Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models Conformal risk control

Reference 4

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source=arxiv_source observed=2026-08-07T12:01:38.416645Z digest=sha256:4e1ef9c92f501078e6be81560b7650ea0a3f6799aa2ed2e07faf83fc9ed8d92d

Observation a81a23ec-3cae-42f9-ab63-34e89dbca560 · outbound

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

Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:01:38.582206Z digest=sha256:519646fafc5d98541d2ebf7d9dbd07c8b1b7ae57713b018217febfdc497e26c9

Observation fdf21538-1375-4a2d-a639-decba4474b55 · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models Constitutional AI: Harmlessness from AI Feedback

Reference 6

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:01:38.710838Z digest=sha256:2b3a4ec0a92b1d8398f172bc59e4d20ec12120423445edb09e375ac3a3ef91b4

Observation 39eb998f-c8d2-434d-a225-83b4f3aa5d47 · outbound

This paper cites an unresolved cited work.

Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models Unresolved cited work

Reference 7

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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=2026-08-07T12:01:38.810077Z digest=sha256:0b6f447a8bc51ada201ea41d86e27de3e70b361840a734824e9a8a25f9c7ab55

Observation 0d07e543-7d85-4b8b-a3b5-259f0856dc4c · outbound

This paper cites Automatically Adaptive Conformal Risk Control.

Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models Automatically Adaptive Conformal Risk Control

Reference 8

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source=arxiv_source observed=2026-08-07T12:01:38.969276Z digest=sha256:6b2af2ced3d4bcfa425df44e686def492daafbdd23b3db1b277f810056434c0b

Observation 9611b323-871f-48c4-b32b-af86e408662f · outbound

This paper cites Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision.

Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision

Reference 9

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source=arxiv_source observed=2026-08-07T12:01:39.062384Z digest=sha256:bf8eced717014b8d8f473e9561a162a9d40ffbde59606d3fdc8780f4b5b62a7f

Observation d345604b-cc60-4da8-b4e9-d4d66eba4598 · outbound

This paper cites Maxmin-rlhf: Towards equitable alignment of large language models with diverse human preferences.

Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models Maxmin-rlhf: Towards equitable alignment of large language models with diverse human preferences

Reference 10

Resolution
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raw_fallback, observed 2026-08-07T12:01:41.276546Z

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=2026-08-07T12:01:39.203309Z digest=sha256:4963647ddf42d4855de56c40a2daa091698cac11c7cc5541f37dddd01b50590c

Observation db2e7c12-b2cb-4d27-81fc-c5ccfd9e84ee · outbound

This paper cites Conformal Tail Risk Control for Large Language Model Alignment.

Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models Conformal Tail Risk Control for Large Language Model Alignment

Reference 11

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source=arxiv_source observed=2026-08-07T12:01:39.330424Z digest=sha256:ac8b0613aad50a6fc15508633af13c09aaec6226fb1e922ef080c73dddd9eeef

Observation f34e3a1c-3d7f-4237-ba5f-fadd8e6471fc · outbound

This paper cites FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance.

Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance

Reference 12

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source=arxiv_source observed=2026-08-07T12:01:39.413568Z digest=sha256:5a08e892e2bfd0b8a47b08b5c5cac35146551721b82a5d4a3242fb0c971f765d

Observation a069805d-72b0-4216-9463-539f5146973b · outbound

This paper cites Cherian, Isaac Gibbs, and Emmanuel J.

Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models Cherian, Isaac Gibbs, and Emmanuel J

Reference 13

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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=2026-08-07T12:01:39.499065Z digest=sha256:812c0a6e7d0d319efac2a413e9175c27e57a26b0bb861f784fffcf0ec1676010

Observation 58d3710f-5084-4f46-8737-d2e662ded075 · outbound

This paper cites an unresolved cited work.

Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models Unresolved cited work

Reference 14

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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=2026-08-07T12:01:39.645983Z digest=sha256:5497b0fd68bf176e1fcba74ab569bc749aa9ab407a6093d2066189adf9130512

Observation 9ba310db-d3fa-4ad2-ab92-fde04640082b · outbound

This paper cites Supervising strong learners by amplifying weak experts.

Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models Supervising strong learners by amplifying weak experts

Reference 15

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source=arxiv_source observed=2026-08-07T12:01:39.715616Z digest=sha256:8a3a4ef9542418e9284219ef93c751dc687e7ce928eaf52d77e3abe12da59064

Observation a06ca503-e983-4961-8635-ca879033e29a · outbound

This paper cites Deep reinforcement learning from human preferences.

Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models Deep reinforcement learning from human preferences

Reference 16

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raw_fallback, observed 2026-08-07T12:01:41.235537Z

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=2026-08-07T12:01:39.792699Z digest=sha256:062e3e426a1a392357b7e8e0269fb10d61488a1a6d2e39d94654c83bc2c3e4d6

Observation 34e42460-bd0a-4cdd-835c-e245e2273c73 · outbound

This paper cites Safe RLHF: Safe Reinforcement Learning from Human Feedback.

Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models Safe RLHF: Safe Reinforcement Learning from Human Feedback

Reference 17

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no resolver link, observed 2026-08-07T12:01:39.842851Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T12:01:39.842851Z digest=sha256:4e394e080dbc024f70bc907114987daff9bcdb664b70a59f66df057fab5f4733

Observation eaa57af1-f9e9-4150-a5bb-a1b5687efc31 · outbound

This paper cites Mogu: A framework for enhancing safety of llms while preserving their usability.

Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models Mogu: A framework for enhancing safety of llms while preserving their usability

Reference 18

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raw_fallback, observed 2026-08-07T12:01:41.222190Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T12:01:39.973594Z digest=sha256:a030634d9e3212fb7db71b676d8e25210451e8b4956f4b480a0118fadb18995f

Observation ce30bff6-502c-49a7-872b-892b9559f9ad · outbound

This paper cites S elective N et: A deep neural network with an integrated reject option.

Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models S elective N et: A deep neural network with an integrated reject option

Reference 19

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raw_fallback, observed 2026-08-07T12:01:41.208472Z

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=2026-08-07T12:01:40.078636Z digest=sha256:476dd2686c26672d1dfd47567ccb6c2ad8bc5f12b79320f7dd6cebe66b15c8b9

Observation ef7d930b-f899-449e-85a0-e11d11e177aa · outbound

This paper cites Measuring massive multitask language understanding, 2021.

Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models Measuring massive multitask language understanding, 2021

Reference 20

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source=arxiv_source observed=2026-08-07T12:01:40.143894Z digest=sha256:8c8e97ff2b41a6b2d3f593e5652a28411c3d9cd7ab77f4a54f20e1aa2c3b872a

Observation 8e1218cd-8fa8-4965-90f7-65ced9b0314d · outbound

This paper cites AI safety via debate.

Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models AI safety via debate

Reference 21

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source=arxiv_source observed=2026-08-07T12:01:40.191875Z digest=sha256:61499eba123aaf78cd09dc4e649d2e25bf98130c1e168dedaabd1d399f462e59

Observation 0b697ec1-e5aa-41ce-9aca-4c2ffdefcfc2 · outbound

This paper cites Beavertails: Towards improved safety alignment of LLM via a human-preference dataset.

Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models Beavertails: Towards improved safety alignment of LLM via a human-preference dataset

Reference 22

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raw_fallback, observed 2026-08-07T12:01:41.186358Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T12:01:40.221483Z digest=sha256:713ada64f30b11f959a1d7214a8153ad61d72d5c86301b7c1270a4803dff6477

Observation c424073a-bfd4-4170-a9ee-7d06548f9f18 · outbound

This paper cites Trust or Escalate: LLM Judges with Provable Guarantees for Human Agreement.

Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models Trust or Escalate: LLM Judges with Provable Guarantees for Human Agreement

Reference 23

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source=arxiv_source observed=2026-08-07T12:01:40.254252Z digest=sha256:b9d4904dc3917403edbbad405fb8a1c0e1186a01c302eca1c2b6d1439c8a2e0c

Observation f4c91040-b7b8-4518-9e17-bcfe313efbf1 · outbound

This paper cites Conformal Prediction with Large Language Models for Multi-Choice Question Answering.

Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models Conformal Prediction with Large Language Models for Multi-Choice Question Answering

Reference 24

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source=arxiv_source observed=2026-08-07T12:01:40.432767Z digest=sha256:1f9af0b0a114e4b0d4f640de897081e736a0144f8c322f5141a5532ad3b2e59b

Observation 16418b14-ce3a-4f4d-9472-38b643148556 · outbound

This paper cites Let's Verify Step by Step.

Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models Let's Verify Step by Step

Reference 25

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source=arxiv_source observed=2026-08-07T12:01:40.506755Z digest=sha256:644b1457a4190729a06c014bf80877a6bc299181ad77078ef0f2e1a049a30489

Observation 3cd7b2bf-b4a9-41a8-a792-da5500ba207d · outbound

This paper cites TruthfulQA: Measuring How Models Mimic Human Falsehoods.

Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models TruthfulQA: Measuring How Models Mimic Human Falsehoods

Reference 26

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source=arxiv_source observed=2026-08-07T12:01:40.511061Z digest=sha256:69f545dffcd02d67c0626a700338bec94e04fca462ad835020d2e58c3eedf96d

Observation bb0a0ca2-6b57-446b-afb5-1ea785772800 · outbound

This paper cites Self‑refine: Iterative refinement with self‑feedback.

Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models Self‑refine: Iterative refinement with self‑feedback

Reference 27

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raw_fallback, observed 2026-08-07T12:01:41.172507Z

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=2026-08-07T12:01:40.572836Z digest=sha256:fe526690c8854aed407bab2b17fa13fa717a0eb584731c325d79b018a35794d4

Observation af9d5007-2305-42f7-826b-fe517d569223 · outbound

This paper cites Language Models with Conformal Factuality Guarantees.

Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models Language Models with Conformal Factuality Guarantees

Reference 28

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source=arxiv_source observed=2026-08-07T12:01:40.580111Z digest=sha256:eef7f57ed2c35d96132b8753d16eefb4ef41eacf1451c4b8cbf9e2b432d435f1

Observation 8c8bd002-5f90-447e-8243-cded54efc1bc · outbound

This paper cites RouteLLM: Learning to Route LLMs with Preference Data.

Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models RouteLLM: Learning to Route LLMs with Preference Data

Reference 29

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source=arxiv_source observed=2026-08-07T12:01:40.586242Z digest=sha256:9bccbc6bc1a6526d530fcad14e95344c65eb72a7add1bbe797479ae9a5d568a4

Observation a6020db5-3aa9-4b19-83b4-6663d66aae36 · outbound

This paper cites Gpt-4 system card, 2023.

Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models Gpt-4 system card, 2023

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-07T12:01:41.159185Z

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=2026-08-07T12:01:40.591157Z digest=sha256:d80043b52621bb27ec03e61a63b0a9a51c2f75da317c0328155f8c4b0a8f0b4c

Observation 7a46acac-c67b-48a7-96f9-8755a43cd19c · outbound

This paper cites Introducing gpt-4.1 in the api, April 2025.

Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models Introducing gpt-4.1 in the api, April 2025

Reference 31

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raw_fallback, observed 2026-08-07T12:01:41.146090Z

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=2026-08-07T12:01:40.595027Z digest=sha256:2e9607d6353cafdbc37db3826074ddde5ddd897ca9af269894904d91e8f3ecef

Observation cc4837ef-370d-49d5-91c2-9e138e08f7c2 · outbound

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

Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models Training language models to follow instructions with human feedback

Reference 32

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source=arxiv_source observed=2026-08-07T12:01:40.598984Z digest=sha256:9c1dca7b78c618282d011aa29b351d1f43f4908002a4631ec2ad4c2041836617

Observation a736eff3-95df-47d0-9810-956daba02f08 · outbound

This paper cites Aligning model properties via conformal risk control.

Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models Aligning model properties via conformal risk control

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-07T12:01:41.123679Z

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=2026-08-07T12:01:40.602867Z digest=sha256:24d71cd0063e7a38b5144c7f46c4ce99b9278831214092e3672e2ae7f77c5ac0

Observation 06bbac88-37c0-4084-886b-70af5511d856 · outbound

This paper cites Conformal Language Modeling.

Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models Conformal Language Modeling

Reference 34

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source=arxiv_source observed=2026-08-07T12:01:40.606260Z digest=sha256:34fccc5343d3c1378e45f9eb98b8b4375df085032dcefb0e939a3199dd4b2207

Observation 77db8321-ce3b-4039-87c4-febda3993add · outbound

This paper cites Direct Preference Optimization: Your Language Model is Secretly a Reward Model.

Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Reference 35

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source=arxiv_source observed=2026-08-07T12:01:40.610611Z digest=sha256:521d30bda7b5d5613735b81ea48d70bb5f2fb6cd33ec7ee102b14afc1476b93f

Observation 1ff886de-dec0-4b7b-9602-7efe821e4bb5 · outbound

This paper cites Rewardedsoups: Towards pareto-optimal alignment by interpolating weights fine-tuned on diverse rewards.

Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models Rewardedsoups: Towards pareto-optimal alignment by interpolating weights fine-tuned on diverse rewards

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:01:41.110337Z

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.

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Observation d8707e0d-d177-4994-9d53-b7b5f182e091 · outbound

This paper cites an unresolved cited work.

Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:01:41.097304Z

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.

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Observation ed4a047b-da77-494e-b274-baf351e0a3fc · outbound

This paper cites API Is Enough: Conformal Prediction for Large Language Models Without Logit-Access.

Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models API Is Enough: Conformal Prediction for Large Language Models Without Logit-Access

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T12:01:40.621433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:01:40.621433Z digest=sha256:afe67a5e99bc16f66128300afb2cc5994f8bfd34f8c69a3dedbbfcc293f47b73

Observation 6aa43607-f24f-4f27-9029-245e139c992f · outbound

This paper cites Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training.

Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training

Reference 39

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T12:01:40.774395Z

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=2026-08-07T12:01:40.624838Z digest=sha256:e66b8115b95ae1841738017a546a377e3daf0b8e7537869b7025ff18a896c818

Observation 688dde04-7138-4546-b84d-fb7527f5735e · outbound

This paper cites Doing More with Less: A Survey on Routing Strategies for Resource Optimisation in Large Language Model-Based Systems.

Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models Doing More with Less: A Survey on Routing Strategies for Resource Optimisation in Large Language Model-Based Systems

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T12:01:40.628706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:01:40.628706Z digest=sha256:cacd40fa72f389b9dd162ad40f91624e9b43beb856279dee3e357105f25a3676

Observation 22b4ef92-6655-472e-82f3-f32c1acb91f2 · outbound

This paper cites Algorithmic Learning in a Random World, Second Edition.

Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models Algorithmic Learning in a Random World, Second Edition

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T12:01:40.632952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:01:40.632952Z digest=sha256:cee4d5ac2a672ebf453d36114eb81caabdabf54572590f142bec7c50e6f60d15

Observation b423940a-1a44-4519-92aa-57fc0eb2caf1 · outbound

This paper cites Arithmetic control of llms for diverse user preferences: Directional preference alignment with multi-objective rewards.

Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models Arithmetic control of llms for diverse user preferences: Directional preference alignment with multi-objective rewards

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T12:01:40.636491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:01:40.636491Z digest=sha256:5155ea7f30eec95b469e0370daf59d586f1c7addf02a46edbd2bd9f8846db0d2

Observation e20490c7-94c6-428f-8e01-05c8a1124b3a · outbound

This paper cites Thinking fast and slow and science education.

Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models Thinking fast and slow and science education

Reference 43

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T12:01:40.742379Z

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=2026-08-07T12:01:40.640541Z digest=sha256:cb1427174b877812b81b40aede18debb9d71c32144a8247afea4878997873c68

Observation 1ede2c9a-b4d1-433c-8073-1d8acb3a70ed · outbound

This paper cites Large language model cascades with mixture of thought representations for cost-efficient reasoning.

Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models Large language model cascades with mixture of thought representations for cost-efficient reasoning

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:01:41.075661Z

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=2026-08-07T12:01:40.644166Z digest=sha256:b7f41d531e112fddc385f500667c88077472f521af723b9d9a85dffee54b50e8

Observation f493b41d-2a19-48e7-8727-82d3897991fb · outbound

This paper cites Cost-Saving LLM Cascades with Early Abstention.

Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models Cost-Saving LLM Cascades with Early Abstention

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T12:01:40.647703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:01:40.647703Z digest=sha256:82cec48dabab01aababf5d1376e29e753c65a6a6b49ab76d05f622bc10204275

Observation 55854dd5-fc94-4668-a77f-84d0b0e3697c · outbound

This paper cites Bi-factorial preference optimization: Balancing safety-helpfulness in language models.

Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models Bi-factorial preference optimization: Balancing safety-helpfulness in language models

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:01:41.061506Z

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=2026-08-07T12:01:40.651892Z digest=sha256:33f1212e4bc3288767bc2390d01afaeea25695f5bfd5a39eb5e725e534a777ca

Observation 04def654-36cb-43ae-bc06-b2795190a683 · outbound

This paper cites Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization.

Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T12:01:40.655226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:01:40.655226Z digest=sha256:2d9005e3301e7fd5e72101ab9f83a4162792a9580fcc25703211308449a2db24

Observation 1b89b262-71d2-4bf3-8b3e-03e638eedfde · outbound

This paper cites Improving Alignment and Robustness with Circuit Breakers.

Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models Improving Alignment and Robustness with Circuit Breakers

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T12:01:40.658697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:01:40.658697Z digest=sha256:37da10758bf21b9b2c0a86d24650a67d8b81411af9364a1dbcc52cb241e9051f

Pith citing papers

Observation 7f49e615-6c79-4898-bb35-2fd48ee2b742 · inbound

Strategic Decision Support for AI Agents cites this paper.

Strategic Decision Support for AI Agents Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:37:56.502931Z

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=2026-06-27T09:57:46.960346Z digest=sha256:41b9f77cad05ae1ea5569009cebc98747ccd24811fe5f24af8cc81f8aab269b9