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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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=sha256:1e3e812df40329d34a571851fc6578723d1cfa437c05829e1c51024d4a002a57

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-reported events for the cited work

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source=arxiv_source observed=2026-08-07T12:01:38.266237Z digest=sha256:fc310116e5e9f6b3f189bfa0147795e911e047990efe202e20d529ba2e111c60

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:01:38.277192Z digest=sha256:1c7fa290837bc28518bba17ac1fb7dabb86a67929c6601d927a252702d621314

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:c31c684aaa48660147b9fa689474d30b395721a0abdb3ca62d99a299704059fe

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:be1bb0f0032d3a8d72df016dc99a4f69094de085a9649e15e97ccf45765e6e81

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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no resolver link, observed 2026-08-07T12:01:38.710838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:01:38.710838Z digest=sha256:cef45dcd1ea8128ec003c57bcd8957ca952412dda9c58845ecf87d5dec9944b3

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

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:01:38.810077Z digest=sha256:d8ee4bb1d8434973481dcddfa37b34bb1e6a86f33a806934c27771eba8f26d16

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:e8fa794263c6d2787b24982a528a7db817781d79edef25a8b1ea3c2fdf2ac958

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=sha256:1076394e9f925128789935bb517591f0c2cc1fb534c60830f2e490929e20bae4

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
verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:01:39.203309Z digest=sha256:a6ba38bce7de888a26ad75572fd13248d1c4728a77dc903acd844e33675a9993

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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no resolver link, observed 2026-08-07T12:01:39.330424Z

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source=arxiv_source observed=2026-08-07T12:01:39.330424Z digest=sha256:f0c17772e101267fce25a92abbdb6d0bb9ebcd53b0bc0a6663688a6c6cbf0d11

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=sha256:75f4922ba1260c0eaf3b1e09278436a20c77717ebdd3b27b738ea800658ed92b

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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raw_fallback, observed 2026-08-07T12:01:41.261459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:01:39.499065Z digest=sha256:4b41852354ea4cfd66747a5a7503444ad3d69ee1541a0eecda862b7b7ca25d70

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:01:39.645983Z digest=sha256:7154441a55a6ff6e3ce0ad98fbd4932d2aee0280457f6a50f5ca3139b22a57ce

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:eb80722a04b5168ce115fc8fa27e9dab3f77ab8dd1d1f316afe8774e6d371fee

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:01:39.792699Z digest=sha256:97587205641af5d83fdfd2a75cec92499f7c699601eda53cd5782315fe2f8231

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:01:39.842851Z digest=sha256:32d7116e7783246a5ed92ffd8fe4d6f8b52767bcab8278ecd77fec50f76d9495

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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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:01:39.973594Z digest=sha256:7024b0f899c475d0ec7fc571ca9ef7604c1048a40b5321de3e027f7e6a4ca62d

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:01:40.078636Z digest=sha256:c8c3ea75a545c659c44409b27cfeca7216e7037b20b522fbb357859e5de064f9

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-reported events for the cited work

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source=arxiv_source observed=2026-08-07T12:01:40.143894Z digest=sha256:60cdb97f7fd6bc76c5fe9b3fe341fa26c822f186c13f4dddd6f50c261b4c8863

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:fd166e4a9eddf91f811a49a6c7e3bafcb6ec39cd6bf159678dfd1272915ab388

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:01:40.221483Z digest=sha256:3812a951251b5d1a9fb7b3d4d596bacaa58cc9842ec5a41ef335087699419655

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=sha256:9d8c2c28c650b635c3ea9a7a3dc6ecf242f92ecadef1edb81218c2ef2f79d9e0

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=sha256:92af634b49ad0979e41dec2bb19c7992acc09a3fb0506eb6fc21f8413296437b

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=sha256:1007aed3b40bb8a0e2fe10bca6f568f877d107662dac8a53078c24e5e3b70cc6

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:d1d1a6055d1912b0e0e71e7d5d4bad1acd68e86c68e5da330f2a6d03d5b78385

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:01:40.572836Z digest=sha256:663ca0fa24b218a0f66fbe713a410900ead7d13717d622f5bac551e5371d739c

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:d6e08a7335c6568e2806b241aabd5c63402bbc579e60fde96dc1da5d1fe68019

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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no resolver link, observed 2026-08-07T12:01:40.586242Z

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source=arxiv_source observed=2026-08-07T12:01:40.586242Z digest=sha256:f6f0b826ae6c34a983dc6701b9a70637dd1ddcb9166c7ccc76159b0676bd9032

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:01:40.591157Z digest=sha256:8f94a3059bc2d65d34fdd1aa2f8d21fe7da1f0abd7e4f5a3737fc0281ea2ebd9

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:01:40.595027Z digest=sha256:b0af46d419c49d8c6b74ec23ff63a8953c23ebd6c6769bf4e00236d1ea8a8ee9

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:ebb0c61cffea4893b954f65dd31cff74b2bec92a760a6a91ad1e1092bb6ed66a

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:01:40.602867Z digest=sha256:2d87209b8aec2c0c5506fa8a54e1f882d331928b9f63d73db87700dbdb674af0

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-reported events for the cited work

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source=arxiv_source observed=2026-08-07T12:01:40.606260Z digest=sha256:cf18e3d1a33de831a7f4a299aeff076a55ab122ed6a76c035a7c4ee8bb0322e1

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=sha256:0b5453ed048e7eb91ad8d27cb2b9cf1fe7027f1592de83fad1f9a09f71351948

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:01:40.614303Z digest=sha256:f51cf94cef4e5c8da87d87e412c82181df9dacc6398dfecb6e66721d4c54f483

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:01:40.617876Z digest=sha256:74622941dee1f58d123201a4d703780a18d9eab8dea2c3464f2e2e4b3eaf1b53

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=sha256:3cc459bb0d3584a59d7ea141671c9d65e8a3f2e5c413d628ce58fd3edf2c9843

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:01:40.624838Z digest=sha256:70e85caf6be17e8aaeb653af0c273ce7f80f1e98130486dd4f04d0b33490c8be

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:f88ee07c6f795a114c4cff5830efe02aeffe29c31840df9ac7bfd0d9cfb99d01

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=sha256:0c872e85bff920bb04c22a3384853e6b04e68426a6a2404cb8142b24d2c0c9e4

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=sha256:25053dc031341ce905bf7ff925eacfa22b7173c780c65289dd7ade0ca592b5cb

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:01:40.640541Z digest=sha256:feeb8ed255e8db341ce87bf5ae884aa327bfa63f4fbd3a873a2d4ca350974fa4

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:01:40.644166Z digest=sha256:e6c5ba9c7c414cb632d37652cdf5da7397c69268b4d3714e4ffb27ed4e5d1b60

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=sha256:1fd649d83714f03028bb41d15f16a670c96e4ba0195703c0e928a8fd2b17e2f6

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:01:40.651892Z digest=sha256:edf6acc2c0f1da42e5f1ded44d390741de1673f8ad96de38f0a7fa6f497991c4

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=sha256:7a2198a20e018d86ab7b2afa0ae0870c943b5ef321297d5c39efa8ba1904dd3f

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:dac222a4f035a82becf01b20ca1b9fdbbaead46ab17ed214df480651c4a3f905

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T09:57:46.960346Z digest=sha256:49a9ef0a439debf710c4a2f894682784aab936b20384126be5e9cac87288d252