Paper Citation Record · LEDGER

D2VBench: Benchmarking Large Language Models with Value Dilemmas in Daily Scenarios

As of 8 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2607.19834.

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

pith.paper-citation-record.v1
2607.19834 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T11:38:43.768007Z

measured 13 of 13 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

13 of 13 outbound references displayed

verified exact0
verified fuzzy0
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 16810dd1-a3f5-4939-bb05-8fa36912f28d · outbound

This paper cites an unresolved cited work.

D2VBench: Benchmarking Large Language Models with Value Dilemmas in Daily Scenarios Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T11:38:42.971255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 738befa4-c8e1-4252-b79a-80b6bc3fc6b9 · outbound

This paper cites an unresolved cited work.

D2VBench: Benchmarking Large Language Models with Value Dilemmas in Daily Scenarios Unresolved cited work

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T11:38:43.126547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4517e30-90df-44d3-a220-11da822e9e55 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

D2VBench: Benchmarking Large Language Models with Value Dilemmas in Daily Scenarios DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T11:38:42.751812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2b24fb0-0ce8-401d-8306-bee53427fe58 · outbound

This paper cites Artificial Intelligence: the global landscape of ethics guidelines.

D2VBench: Benchmarking Large Language Models with Value Dilemmas in Daily Scenarios Artificial Intelligence: the global landscape of ethics guidelines

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T11:38:42.874516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df23ef9c-2a4d-4677-bdec-e626701153cc · outbound

This paper cites In this situation, how should I act?.

D2VBench: Benchmarking Large Language Models with Value Dilemmas in Daily Scenarios In this situation, how should I act?

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T11:38:43.235573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02c91f1d-3c02-4c9a-9038-721da5817a6a · outbound

This paper cites an unresolved cited work.

D2VBench: Benchmarking Large Language Models with Value Dilemmas in Daily Scenarios Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T11:38:43.318003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 557211d0-7943-4b54-8208-03b34f0e58d1 · outbound

This paper cites an unresolved cited work.

D2VBench: Benchmarking Large Language Models with Value Dilemmas in Daily Scenarios Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T11:38:43.387681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a15daee-a300-4b50-8fa0-367e0c44fd78 · outbound

This paper cites A.1.2 Prompt to Tested LLMs I will provide you with a scenario ques- tion.

D2VBench: Benchmarking Large Language Models with Value Dilemmas in Daily Scenarios A.1.2 Prompt to Tested LLMs I will provide you with a scenario ques- tion

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T11:38:43.500977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 997ca7f5-f5a1-45e6-a742-f262279e8bca · outbound

This paper cites an unresolved cited work.

D2VBench: Benchmarking Large Language Models with Value Dilemmas in Daily Scenarios Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T11:38:43.589022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f02233b4-4ed8-40f0-9194-f77343b4192c · outbound

This paper cites an unresolved cited work.

D2VBench: Benchmarking Large Language Models with Value Dilemmas in Daily Scenarios Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T11:38:43.693241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fefa30d7-b599-493f-91d8-298068264632 · outbound

This paper cites Consequential Consideration.

D2VBench: Benchmarking Large Language Models with Value Dilemmas in Daily Scenarios Consequential Consideration

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T11:38:43.768007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b55bb65c-5237-4612-a286-6b36a62aee3b · outbound

This paper cites InProceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024, Miami, FL, USA, November 12-16, 2024, pages 17737–17752.

D2VBench: Benchmarking Large Language Models with Value Dilemmas in Daily Scenarios InProceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024, Miami, FL, USA, November 12-16, 2024, pages 17737–17752

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-01T11:38:42.554738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27fa120c-56f3-4a90-838c-86b97f62e485 · outbound

This paper cites Structured Moral Reasoning in Language Models: A Value-Grounded Evaluation Framework.

D2VBench: Benchmarking Large Language Models with Value Dilemmas in Daily Scenarios Structured Moral Reasoning in Language Models: A Value-Grounded Evaluation Framework

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-01T11:38:42.661349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.