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Paper Citation Record · LEDGER

Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 39 inbound Pith citation observations for arXiv:2404.10271.

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

pith.paper-citation-record.v1
2404.10271 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 39 of 39 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:44:26.586898Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a625e699-1e6d-4673-a4b3-2fc273aa764a · inbound

Active teacher selection for reward learning cites this paper.

Active teacher selection for reward learning Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback

Reference 3

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arxiv_id, observed 2026-05-24T05:56:01.743061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-24T05:54:43.873174Z digest=sha256:11a0a682919012bf094de7c7e5d5f3c58cc36e347563300b2c50850441ed96a8

Observation 070c05e0-ce12-4b55-b779-1afc724a0749 · inbound

Evaluating the Prompt Steerability of Large Language Models cites this paper.

Evaluating the Prompt Steerability of Large Language Models Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback

Reference 11

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source=arxiv_source observed=2026-08-12T17:41:37.664353Z digest=sha256:f199c991f9183252a3e1001425462ad730da18fbd217cfd4fccdcc0cab7eef10

Observation 9b1b5f03-b322-4923-9db5-96ade8787ba7 · inbound

The Problem of Social Cost in Multi-Agent General Reinforcement Learning: Survey and Synthesis cites this paper.

The Problem of Social Cost in Multi-Agent General Reinforcement Learning: Survey and Synthesis Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback

Reference 36

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source=pdf_text observed=2026-08-11T23:56:00.477796Z digest=sha256:6e1ef0f641cbb533e624313b8a10baca421186ea7ac681609383b24650cf12e5

Observation 340b4c90-159c-45f6-87e5-8086a3184a9c · inbound

Beyond the Binary: Capturing Diverse Preferences With Reward Regularization cites this paper.

Beyond the Binary: Capturing Diverse Preferences With Reward Regularization Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback

Reference 36

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:06:51.241253Z digest=sha256:92779a822d46f64995d9f9afa4fc95b24b509e3f37557e42fc1751ab65155704

Observation 71470afb-219a-48fa-9c5e-863e1a5fa33a · inbound

JuStRank: Benchmarking LLM Judges for System Ranking cites this paper.

JuStRank: Benchmarking LLM Judges for System Ranking Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback

Reference 7

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source=arxiv_source observed=2026-08-11T16:59:49.460143Z digest=sha256:2eabe0ee8473482176d55075ea47f4929b3ab3c8785cdad5f6caaa7943b02e71

Observation 1aa31b4f-9400-49ad-8cf5-4aa5b510fff6 · inbound

Online Learning from Strategic Human Feedback in LLM Fine-Tuning cites this paper.

Online Learning from Strategic Human Feedback in LLM Fine-Tuning Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback

Reference 10

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no resolver link, observed 2026-08-11T10:21:33.280224Z

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source=pdf_text observed=2026-08-11T10:21:33.280224Z digest=sha256:7a386aa97b206f5436de6425bbba14b7b01e9f1a65febd3abe71c95752906c64

Observation 817eda52-d0f5-431c-bd61-25f2726e6f93 · inbound

Utility-inspired Reward Transformations Improve Reinforcement Learning Training of Language Models cites this paper.

Utility-inspired Reward Transformations Improve Reinforcement Learning Training of Language Models Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback

Reference 5

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source=arxiv_source observed=2026-08-10T21:31:45.607085Z digest=sha256:e3f74a4941e5bd0887d9712a718e7daf2784cf850ec2ed38318439f0f6bc09d6

Observation 0e2e9106-73c6-480a-a06b-f762c21d181f · inbound

Clone-Robust AI Alignment cites this paper.

Clone-Robust AI Alignment Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback

Reference 6

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source=pdf_text observed=2026-08-10T20:15:11.792641Z digest=sha256:c3ccf2b4e47131827a95048da46f7194bb498f635066034ed51a0c70e3f24adb

Observation 3ca4d96c-4cd0-496c-89a5-1a7f493ac23b · inbound

Selective Response Strategies for GenAI cites this paper.

Selective Response Strategies for GenAI Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback

Reference 9

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source=pdf_text observed=2026-08-09T18:07:03.065431Z digest=sha256:7b34e9bd5cf94a1246cb6f2d81c6b34e7979246145f60635c749a4fd3b48de47

Observation 2a2252dd-9672-4c17-8a31-5d2587f5520a · inbound

Selective Response Strategies for GenAI cites this paper.

Selective Response Strategies for GenAI Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback

Reference 2024

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source=pdf_text observed=2026-08-09T18:07:03.071200Z digest=sha256:8328c7a79a51a29a9295d6a9de2b945c8d134dd5b8a574dfae77e58bc597dce6

Observation 936de323-fdb4-4c8b-b6f8-0b813f54690d · inbound

The Battling Influencers Game: Nash Equilibria Structure of a Potential Game and Implications to Value Alignment cites this paper.

The Battling Influencers Game: Nash Equilibria Structure of a Potential Game and Implications to Value Alignment Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback

Reference 6

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no resolver link, observed 2026-08-09T16:38:06.623418Z

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source=arxiv_source observed=2026-08-09T16:38:06.623418Z digest=sha256:724ed9d55f5964850e12eb397d204def9327a8879c7d307744f555bbe2d4fd62

Observation 830fd0ce-2f45-4956-8834-8f00275d02da · inbound

Data Sharing with a Generative AI Competitor cites this paper.

Data Sharing with a Generative AI Competitor Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback

Reference 5

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:44:26.586898Z digest=sha256:30ad09289ff5945dba12e96646a9a478c8bd52b7bd9f57d4ba8fc9d0055f7f88

Observation 7292b80e-0ade-4f5b-a99e-d3c212b35550 · inbound

Configurable Preference Tuning with Rubric-Guided Synthetic Data cites this paper.

Configurable Preference Tuning with Rubric-Guided Synthetic Data Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback

Reference 4

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:08:22.822573Z digest=sha256:ccba6ae9f94820b8fe11d0c4d5d8f99f5efea3b959d072e376c474f1f2a99ea1

Observation d6efb15f-2b56-4a38-b874-2a29f44bad6b · inbound

Theoretical Tensions in RLHF: Reconciling Empirical Success with Inconsistencies in Social Choice Theory cites this paper.

Theoretical Tensions in RLHF: Reconciling Empirical Success with Inconsistencies in Social Choice Theory Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback

Reference 4

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source=pdf_text observed=2026-08-07T01:04:30.630057Z digest=sha256:7a3dd3345215bbad6729d8c806f2034b6a70023dbae00f12be13069a63c49d0a

Observation 22be5bf6-3af2-4f66-af7e-485166d49a55 · inbound

Quantitative Relaxations of Arrow's Axioms cites this paper.

Quantitative Relaxations of Arrow's Axioms Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback

Reference 2

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no resolver link, observed 2026-08-07T00:44:29.567361Z

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source=arxiv_source observed=2026-08-07T00:44:29.567361Z digest=sha256:c1c6c52028885beb0c091615d0633329b01d96e5031b3361222464c9cfb0cc8b

Observation 8d653455-58c7-428d-986b-495b3cdd0a41 · inbound

What Voting Rules Actually Do: A Data-Driven Analysis of Multi-Winner Voting cites this paper.

What Voting Rules Actually Do: A Data-Driven Analysis of Multi-Winner Voting Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback

Reference 12

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no resolver link, observed 2026-08-05T22:45:49.663163Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:45:49.663163Z digest=sha256:7769e292f605b0c08794cdb24261f5809583646173362dc3a262513d34cf367a

Observation 31c19519-43f0-4964-90ab-4c185fead42d · inbound

Collaborating with GenAI: Incentives and Replacements cites this paper.

Collaborating with GenAI: Incentives and Replacements Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback

Reference 10

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:19:54.879726Z digest=sha256:fb63113b4173f32c06a2423e685c68e33b5d6df6d6abd216f9f202aee8e5122e

Observation fc3f9a37-e4b3-4d1b-b7ea-df950e95512d · inbound

Power and Limitations of Aggregation in Compound AI Systems cites this paper.

Power and Limitations of Aggregation in Compound AI Systems Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback

Reference 13

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no resolver link, observed 2026-08-02T21:09:49.481965Z

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source=arxiv_source observed=2026-08-02T21:09:49.481965Z digest=sha256:b009d46bfcd5ef1753a50dfe48d1e774d5d51968786d0802435faf2568c6cbd3

Observation 13baab99-c9b4-4f68-820b-eaf1c9b85c38 · inbound

Principles Do Not Apply Themselves: A Hermeneutic Perspective on AI Alignment cites this paper.

Principles Do Not Apply Themselves: A Hermeneutic Perspective on AI Alignment Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback

Reference 8

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arxiv_id, observed 2026-05-11T10:41:02.856449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T15:23:33.330990Z digest=sha256:ea5d6326c93e79c940d100d540dca6a9780ab4d29c1e111682897dc87da885e1

Observation 0430f257-de3a-489c-bf26-776cad234a7f · inbound

Relative Principals, Pluralistic Alignment, and the Structural Value Alignment Problem cites this paper.

Relative Principals, Pluralistic Alignment, and the Structural Value Alignment Problem Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback

Reference 12

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arxiv_id, observed 2026-05-09T23:04:17.674819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-09T23:02:34.564375Z digest=sha256:7ecb0b0b840b8e3180c402517dda6d214bcb3089afd3bc2c28770661c4325ce6

Observation dec5c785-76d0-42a4-80f7-5d7f6365172c · inbound

Three Models of RLHF Annotation: Extension, Evidence, and Authority cites this paper.

Three Models of RLHF Annotation: Extension, Evidence, and Authority Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback

Reference 15

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arxiv_id, observed 2026-05-12T00:46:12.348500Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-07T14:28:31.451466Z digest=sha256:6a0a1db3782dc5a1fce935261b617733eb55351b7ab08b775f67854d65a6cf32

Observation 9316a7c4-70d3-47b8-9a70-fd32c2478086 · inbound

Curated Synthetic Data Doesn't Have to Collapse: A Theoretical Study of Generative Retraining with Pluralistic Preferences cites this paper.

Curated Synthetic Data Doesn't Have to Collapse: A Theoretical Study of Generative Retraining with Pluralistic Preferences Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback

Reference 104

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arxiv_id, observed 2026-05-11T02:30:54.543734Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-11T02:30:14.693348Z digest=sha256:5de8068ab23c854f3db929c2968d80fe01e72ff37973b0713681b9b06ec1ac3e

Observation 889e768b-8ef8-4a7f-b19b-d84c7bee117a · inbound

When to Ask a Question: Understanding Communication Strategies in Generative AI Tools cites this paper.

When to Ask a Question: Understanding Communication Strategies in Generative AI Tools Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback

Reference 10

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arxiv_id, observed 2026-05-13T01:17:02.467121Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-13T01:12:50.314892Z digest=sha256:66515bd3ea6eae7a891a952a45b254fe4413e4f22a34027a14647c8a8eea043d

Observation a0ee19d3-d37e-4b0d-a89d-fffc21559e96 · inbound

Maximizing Reachability via Shifting of Temporal Paths cites this paper.

Maximizing Reachability via Shifting of Temporal Paths Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback

Reference 226

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arxiv_id, observed 2026-05-13T05:02:16.984893Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-13T05:00:02.957536Z digest=sha256:025a3fb8691b32b25892486cf5de413bb96225feecd554f26790340421ef4f51

Observation cf365ad9-5962-4c07-8438-78ab0c8ba743 · inbound

Scale-Dependent Collective Adaptation in Self-Amending LLM Societies: A Cross-Family Study of Emergent Governance cites this paper.

Scale-Dependent Collective Adaptation in Self-Amending LLM Societies: A Cross-Family Study of Emergent Governance Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback

Reference 78

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arxiv_id, observed 2026-05-19T22:32:49.784539Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-19T22:29:17.058647Z digest=sha256:8ea17603d35f1a9931a6749ea72300a693ac8689a6e8ed92d74067f0013ad5cc

Observation c510d379-40a2-4c5b-a724-60b8b3fbf594 · inbound

Truthful Online Preference Aggregation for LLM Fine-Tuning in Mobile Crowdsourcing cites this paper.

Truthful Online Preference Aggregation for LLM Fine-Tuning in Mobile Crowdsourcing Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback

Reference 11

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arxiv_id, observed 2026-06-30T16:14:53.440566Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-30T16:07:57.237575Z digest=sha256:f10b8ac1d58c91f4dd40f1f6bd71a2e9d4fa54eaec10177389b7bce7219f7e40

Observation 22aa6e30-7d3d-4f6b-ab9c-ec2f838584b6 · inbound

Coherence Maximization Improves Pluralistic Alignment cites this paper.

Coherence Maximization Improves Pluralistic Alignment Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback

Reference 7

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arxiv_id, observed 2026-07-02T03:06:29.902415Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-28T10:21:42.636224Z digest=sha256:5537bc2ad697d13e35d668ae65193dc4a54685600e8ed1b4e778dfa60ce254e0

Observation 61337121-f7e1-45b2-beb1-2c5a00c02e70 · inbound

Post-AGI Economies: Superposition and the Second Fundamental Theorem of Welfare Economics cites this paper.

Post-AGI Economies: Superposition and the Second Fundamental Theorem of Welfare Economics Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback

Reference 18

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arxiv_id, observed 2026-07-02T22:27:25.652805Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-27T18:56:37.173132Z digest=sha256:2e5c2b010100c247e6f0e99da22d11fcb173b48adc87a1a46baef887c07ad4f0

Observation 81687b64-445c-486a-b7b1-8db3f1b33aa1 · inbound

Emergence World: A Platform for Evaluating Long-Horizon Multi-Agent Autonomy cites this paper.

Emergence World: A Platform for Evaluating Long-Horizon Multi-Agent Autonomy Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback

Reference 7

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arxiv_id, observed 2026-07-02T22:57:25.964567Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-27T18:36:44.265273Z digest=sha256:7f283be5c0ae1c45cf865fe845dcf855f70bbcbdf178c001f9ddad8bdc6e8dda

Observation 866bf407-0206-4300-b3f0-21c23fa8ee3c · inbound

Hidden Consensus:Preference-Validity Compression in Human Feedback cites this paper.

Hidden Consensus:Preference-Validity Compression in Human Feedback Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback

Reference 11

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arxiv_id, observed 2026-07-03T05:07:39.032910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-27T13:25:24.761133Z digest=sha256:7ca0b3df999e346b8e3aafa58db6556cdb70c75ed1172a6edeb28ded0d80794f

Observation db1de762-0b1e-4658-9be5-378b277c4a83 · inbound

Do Large Language Model Voters Strategize? An Oracle-Based Benchmark for Manipulation under Voting Rules cites this paper.

Do Large Language Model Voters Strategize? An Oracle-Based Benchmark for Manipulation under Voting Rules Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback

Reference 7

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arxiv_id, observed 2026-07-04T07:39:38.837211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-26T13:13:35.918897Z digest=sha256:e3ae71312230d01901d067b9835364f7d5df1525090a49b597cdf21e42d407e5

Observation 236e6c9d-0dec-480d-a80f-8f26d9c13269 · inbound

Do Large Language Model Voters Strategize? An Oracle-Based Benchmark for Manipulation under Voting Rules cites this paper.

Do Large Language Model Voters Strategize? An Oracle-Based Benchmark for Manipulation under Voting Rules Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback

Reference 7

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no resolver link, observed 2026-07-14T17:41:17.690586Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T17:41:17.690586Z digest=sha256:f72b7e573a80639725131174d76fcb1841cf30da02cad41ad18aff93b41b140b

Observation d9945830-9798-4746-bb8b-a5c712e498e5 · inbound

PEBS: Per-rater Empirical-Bayes Shrinkage for RLHF Reward-Model Calibration cites this paper.

PEBS: Per-rater Empirical-Bayes Shrinkage for RLHF Reward-Model Calibration Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback

Reference 2

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arxiv_id, observed 2026-07-01T18:55:58.559762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-29T01:26:00.228782Z digest=sha256:c30b68813fbb301647a82f83006461643c74ecefd3576a9bcbc7769afc484670

Observation 14cf5e32-3fde-440e-9abb-886ab7e781c3 · inbound

Constructive Alignment: Governing Preference Dynamics in Human-AI Interaction cites this paper.

Constructive Alignment: Governing Preference Dynamics in Human-AI Interaction Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback

Reference 144

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source=pdf_text observed=2026-07-13T14:35:55.709732Z digest=sha256:c01e40a99b5db2dd2edef4cf612a96df8c28c0ccf09da0f8bc89a656bbd1248f

Observation f6c0083c-34a6-4c14-98ae-c36507c979bd · inbound

Bounded Morality: Defining the Space of Moral Computation cites this paper.

Bounded Morality: Defining the Space of Moral Computation Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback

Reference 41

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Unavailable: canonical work link unavailable.

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Observation 6745efa1-01f3-49a1-9d0a-0f8b520c5ae0 · inbound

Internal Pluralism and the Limits of Pairwise Comparisons cites this paper.

Internal Pluralism and the Limits of Pairwise Comparisons Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback

Reference 277

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no resolver link, observed 2026-08-02T09:03:15.468505Z

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source=arxiv_source observed=2026-08-02T09:03:15.468505Z digest=sha256:dcf16ce9ca1a51b45198deafcbd2d481e5fb10f9445d3868d9e2b671e59f9006

Observation 665fdf04-19a7-41ae-8a4d-af9e58da6705 · inbound

AI Value Alignment for Evolving Social Norms cites this paper.

AI Value Alignment for Evolving Social Norms Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback

Reference 104

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no resolver link, observed 2026-08-01T15:16:57.797323Z

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source=arxiv_source observed=2026-08-01T15:16:57.797323Z digest=sha256:ac9ec84846b1b1297f77a9bb87e9b21a1bc045fb0bfdb439d71b82bbdeaeaf37

Observation f0a46862-fe6f-47a4-9f68-a4c437b97007 · inbound

Socially Grounded Agentic AI: Coordinating Plural Perspectives through Social Theory cites this paper.

Socially Grounded Agentic AI: Coordinating Plural Perspectives through Social Theory Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback

Reference 2014

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Observation b531b7df-ee49-4fcf-95c1-b51c77c501c3 · inbound

Metanormative Theory for RL-Based Moral Agents cites this paper.

Metanormative Theory for RL-Based Moral Agents Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback

Reference 15

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no resolver link, observed 2026-08-12T00:19:27.619119Z

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