Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Comparing Bad Apples to Good Oranges: Aligning Large Language Models via Joint Preference Optimization
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2404.00530.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:45:53.369052Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T11:34:37.642372Z
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 5de64fa7-ae93-4790-9b7f-15defa714977 · inbound
VideoPhy: Evaluating Physical Commonsense for Video Generation cites this paper.
VideoPhy: Evaluating Physical Commonsense for Video Generation Comparing Bad Apples to Good Oranges: Aligning Large Language Models via Joint Preference Optimization
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T11:34:37.644735Z
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 1b4fa864-262f-400c-bf5c-9b14710afb6a · inbound
DataComp-LM: In search of the next generation of training sets for language models cites this paper.
DataComp-LM: In search of the next generation of training sets for language models Comparing Bad Apples to Good Oranges: Aligning Large Language Models via Joint Preference Optimization
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T22:58:16.880176Z
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 a5bbb1e9-fe0f-4198-ac77-325b3bf4948c · inbound
LPOI: Listwise Preference Optimization for Vision Language Models cites this paper.
LPOI: Listwise Preference Optimization for Vision Language Models Comparing Bad Apples to Good Oranges: Aligning Large Language Models via Joint Preference Optimization
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:45:53.369052Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 219936f0-9862-473b-a218-c42eedd1b96d · inbound
ModelCitizens: Representing Community Voices in Online Safety cites this paper.
ModelCitizens: Representing Community Voices in Online Safety Comparing Bad Apples to Good Oranges: Aligning Large Language Models via Joint Preference Optimization
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:30:59.347541Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 35e8cd9f-309d-4843-a6f4-0924f5a0de98 · inbound
IYKYK (But AI Doesn't): Automated Content Moderation Does Not Capture Communities' Heterogeneous Attitudes Towards Reclaimed Language cites this paper.
IYKYK (But AI Doesn't): Automated Content Moderation Does Not Capture Communities' Heterogeneous Attitudes Towards Reclaimed Language Comparing Bad Apples to Good Oranges: Aligning Large Language Models via Joint Preference Optimization
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T08:22:37.113625Z
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.