Paper Citation Record · LEDGER

Can LLMs Capture Human Preferences?

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2305.02531.

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

pith.paper-citation-record.v1
2305.02531 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:28:54.185209Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T05:34:05.021324Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 5e196eee-5480-4c5e-a1e1-362ca060b1e5 · inbound

Toward LLM-Agent-Based Modeling of Transportation Systems: A Conceptual Framework cites this paper.

Toward LLM-Agent-Based Modeling of Transportation Systems: A Conceptual Framework Can LLMs Capture Human Preferences?

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-11T19:28:54.185209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62174ef3-a959-4ad1-8c5c-85f6781c39ca · inbound

Aligning LLM with human travel choices: a persona-based embedding learning approach cites this paper.

Aligning LLM with human travel choices: a persona-based embedding learning approach Can LLMs Capture Human Preferences?

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T14:26:27.230696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8da951d-9438-4a80-ba04-79f4e0f93fc6 · inbound

Can LLMs Make (Personalized) Access Control Decisions? cites this paper.

Can LLMs Make (Personalized) Access Control Decisions? Can LLMs Capture Human Preferences?

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-17T05:34:05.024261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5e87eb33-2322-4347-a935-dbc27b3960c6 · inbound

InvEvolve: Evolving White-Box Inventory Policies via Large Language Models with Performance Guarantees cites this paper.

InvEvolve: Evolving White-Box Inventory Policies via Large Language Models with Performance Guarantees Can LLMs Capture Human Preferences?

Reference 155

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T15:31:07.935825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f643ddc0-5051-4edf-8d20-b6dd7e6a5a33 · inbound

InvEvolve: Evolving White-Box Inventory Policies via Large Language Models with Performance Guarantees cites this paper.

InvEvolve: Evolving White-Box Inventory Policies via Large Language Models with Performance Guarantees Can LLMs Capture Human Preferences?

Reference 155

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T02:41:17.700293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.