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Paper Citation Record · LEDGER

Latent Preference Coding: Aligning Large Language Models via Discrete Latent Codes

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2505.04993.

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

pith.paper-citation-record.v1
2505.04993 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T00:15:16.907431Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 25af61a1-d75f-4d24-abed-a18c7c4f28c0 · inbound

LaRe: Latent Refocusing for Multimodal Reasoning cites this paper.

LaRe: Latent Refocusing for Multimodal Reasoning Latent Preference Coding: Aligning Large Language Models via Discrete Latent Codes

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-04T00:15:16.907431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T00:15:16.907431Z digest=sha256:22c5c5fe7b07a94416dd910ee363303092ec6e57fb126570540b5477ac5fbd9a

Observation 5dd6c5e8-e847-4df4-bcec-67809f0d40be · inbound

HypEHR: Hyperbolic Modeling of Electronic Health Records for Efficient Question Answering cites this paper.

HypEHR: Hyperbolic Modeling of Electronic Health Records for Efficient Question Answering Latent Preference Coding: Aligning Large Language Models via Discrete Latent Codes

Reference 87

Resolution
verified exact
arxiv_id, observed 2026-05-09T23:54:45.627805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-09T23:51:47.724033Z digest=sha256:02422dac52ba6190fa7c329b713670f7a753821960bb7841ad4ac7e56bf8f45d

Observation f8a2f8a4-04c4-40a5-821a-a72293ce0b41 · inbound

Explaining and Breaking the Safety-Helpfulness Ceiling via Preference Dimensional Expansion cites this paper.

Explaining and Breaking the Safety-Helpfulness Ceiling via Preference Dimensional Expansion Latent Preference Coding: Aligning Large Language Models via Discrete Latent Codes

Reference 81

Resolution
verified exact
arxiv_id, observed 2026-05-13T01:57:06.398458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T01:03:10.263663Z digest=sha256:f36c6577683d08834f578afaae8c058e99d4d6545f765219d36660a650424a5e

Observation 2c7da321-5d54-4b31-8c82-00f6204b8e40 · inbound

Explaining and Breaking the Safety-Helpfulness Ceiling via Preference Dimensional Expansion cites this paper.

Explaining and Breaking the Safety-Helpfulness Ceiling via Preference Dimensional Expansion Latent Preference Coding: Aligning Large Language Models via Discrete Latent Codes

Reference 81

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:12:58.842510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-14T21:12:06.989077Z digest=sha256:96c8101055c9b9647cf6b9990774dcde5353792fa96eb6d36f58122a0bf1a39d