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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 2026-08-07T06:34:17.273281+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=sha256:8461c2d7eea709f38389d9659ae046fe7adc16a524a7b8859c9b94d412351683

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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no resolver link, observed 2026-08-07T12:01:38.266237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:01:38.266237Z digest=sha256:6e42e0b4b5afa5b85dfa2d8ede48f98683c5e8dbb61a0d43399728836fc15ce1

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=sha256:309e47a578bdbb4ae0308b4f0a68f70028e31b4453f3364ef751f19b9ccda711

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:01:38.416645Z digest=sha256:c5c0d2d938ef480d1e8631f7f539b908caff8aa907d4ee807c1fae60f1e8774f

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=sha256:17954908e0d0133aa734695d9dfa96c10b387da275e76c9e67a44a8708d3f493

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:d714668d2c8a1eb59f531075864183c5e4a5647f81771dc0d867eafb1367d2b3

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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raw_fallback, observed 2026-08-07T12:01:41.290998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:01:38.810077Z digest=sha256:2e0377beef3533a8809f2e1ba47d27c151ef2167c9902c885be6051a976b2ee8

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:01:38.969276Z digest=sha256:694213965abcea8ef2da0b57639e29e7294f324afa06373452180d920f176ec2

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:e4d28a44905fca3bb6faa42ca3969f34d00d2ff54a9ce25143e124d26d96b660

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:01:39.203309Z digest=sha256:791d294432a660024ccb787e3cc9725451eb3da38445fd60bbb175bb436f476e

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:01:39.330424Z digest=sha256:d65854b743244c1c40ebfd1db0b2be1bed836d886a04fdf1b734ce0bf7fe29f1

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:f67bbf8a3d55315763c499763cc066e7e442b9efc298d1b0fb464381698839a9

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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verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:01:39.499065Z digest=sha256:8e94e891eee34ef9fe001886ad589cb7edc750dc23173705b2496c7852d5ed07

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:01:39.645983Z digest=sha256:1531e116afc9cc1a1196e7e62a4c883646420847ff8257ba68e45a399a441d7c

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:01:39.715616Z digest=sha256:d17e948fd7d841400cc94d3fe2d10b45a7834b2d715e069d151ce5f283dde35e

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:01:39.792699Z digest=sha256:4943a9fd75354e8b7e2e2738c640e49dc37c76911fb7b4d82168850de932285e

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=sha256:0541a9e084ae7fef034818e7e6cc588176ce684e4363ab2baf23ec1664a1f7d9

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:01:39.973594Z digest=sha256:33300871be386956ba1f358b9180dcd606f86cb0f110ee720ad7cbff35433103

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

Resolution
verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:01:40.078636Z digest=sha256:ba7bc863233084c11b4c62714d456f7bddadcc6f56c4d4ed122df8b8f17f1083

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=sha256:32622554be2cf0406ecbe75287ed4af4faf6f4625868b0941a6ffec87857bf11

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:01:40.191875Z digest=sha256:bcdcea93e6e956ee87bca03550fdbcf4208782ebee546c6a7582888b94efafc9

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:01:40.221483Z digest=sha256:fb434319a7b5a2384360730118638bfc7893c6991d3aab68a5807677bd703d31

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:ce980b8407c05f0fedb184dedafca00c5265519cf1192310c6d9852d29c75709

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:aebe116eee38b302772e6e3001e7fa166850fdd9ef2a6dba35417f58a546814d

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:ad49e3ec680625a20ddc5f27902d1c216e97dd364cf327984748c23e995e5b9e

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=sha256:53b334f39aa1f6cccb7589779a268d2713b5f9a5856ac250fea7cf7ce6605cac

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:01:40.572836Z digest=sha256:77337e7e2e1e0f8abe9e4b03af6617a6184c8880142ffda09c228131185ff9bd

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=sha256:042b4b198c27c119586a0fe3f639549fe83759ade495125f7c3b2db0a1ab1051

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:fcdb79a2491cafba7241fff07e36ef61109fedfa7a643e869e8368aa8b54e3af

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:01:40.591157Z digest=sha256:66cba440412de0ee72537998055dc334512397948fb1e1b22953e87ccb136b9c

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:01:40.595027Z digest=sha256:07a71179aff1138c3e4e52fab2857079cffd8a8914dda2e65d584275f88a5e18

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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no resolver link, observed 2026-08-07T12:01:40.598984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:01:40.598984Z digest=sha256:d1ace2bfbb6664c9f56602c5f0adac1ceb1d5a2f2eb839a0471f46b2de0129e2

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:01:40.602867Z digest=sha256:a7d0e5797c74b137610f23b08d4f51fdf74c3623647200731ef5d041e5d51476

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

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:01:40.606260Z digest=sha256:0ebbeb284467f02468fd7a6cc8ba7afb67eb0fb7f8e6229ca24b3f4c11f5cc29

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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no resolver link, observed 2026-08-07T12:01:40.610611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:01:40.610611Z digest=sha256:90edd7c6e1890b4bcf973ea5d776883ae0b43b5327429426190620ff54711508

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:01:40.614303Z digest=sha256:ac9dbfb2d3347c3225b3a7bdbde25892b78446d3af52ac1ab80eb0c1d636b81f

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:01:40.617876Z digest=sha256:6f61592e9ce0345f129b557803f9469da2a68857b1c90db6557d9a173c31e4de

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:aa1135c7ea9697367c862fd5dd2cf148830d5e38141d47cdbcf7638fc2e65b84

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:01:40.624838Z digest=sha256:9491f0308b096ffb599c10ec20a153f91195d18e015b1e5ca476346cd581237c

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=sha256:815893fc15326237ccea74302e7ba4a2fccf1a31818134ab7c69088caa2b0d1c

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:c00de15125f1864efcf94eb0908916f361a047d872fd2c0e6e54e20fd74c2645

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=sha256:5596a17ba6115440aa5a032cd30035a3140ad2cc2e308f5cd9df5d1319c91f35

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:01:40.640541Z digest=sha256:c2f7a2cdfbcaafb48cc9b0e4f5608b3328f13c3b16b6f7ea79f8f940f2bb379a

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:01:40.644166Z digest=sha256:36812e4741aebd49e30eef412f7bea49204f1f25bc8bfbca64fd54489709cb4d

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:ef955c8c329aa86824b8e9ed5004aa8e5d34f2bf72edb415a6d797f0ce27059b

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:01:40.651892Z digest=sha256:fdcb37ce1293261669fe42a501a6da62033c5ac05abe5f830fdd41b49c24a9df

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=sha256:2d631affb2c1d371cda66f17af16ddfab913faba593bccac3bae7a4c21f9bf8c

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:be80fb2ba6b884f5e0ab6109094bcf6eb28f507eaa74acdc013e1bcf430f2742

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T09:57:46.960346Z digest=sha256:feec42e2921f9ea2e33dac7eb8b97339b05e1913054cb278ea296f0adf9f443b