Paper Citation Record · LEDGER

Controllable Protein Sequence Generation with LLM Preference Optimization

As of 14 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 1 inbound Pith citation observation for arXiv:2501.15007.

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

pith.paper-citation-record.v1
2501.15007 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:46:51.851507Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:47:20.987776Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T05:47:22.262029Z

Reference resolution

12 of 12 outbound references displayed

verified exact0
verified fuzzy1
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 826c22aa-c86d-4bbf-a8b8-9f5506d8599c · outbound

This paper cites ORPO: Monolithic Preference Optimization without Reference Model.

Controllable Protein Sequence Generation with LLM Preference Optimization ORPO: Monolithic Preference Optimization without Reference Model

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T14:46:51.811355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52f1e475-40f3-437a-a27d-c611f82978de · outbound

This paper cites LiPO: Listwise Preference Optimization through Learning-to-Rank.

Controllable Protein Sequence Generation with LLM Preference Optimization LiPO: Listwise Preference Optimization through Learning-to-Rank

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T14:46:51.815631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23017874-d6d5-42fb-86e5-2a9d9aca7e68 · outbound

This paper cites ProLLaMA: A Protein Large Language Model for Multi-Task Protein Language Processing.

Controllable Protein Sequence Generation with LLM Preference Optimization ProLLaMA: A Protein Large Language Model for Multi-Task Protein Language Processing

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T14:46:51.823777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 465f07ad-38d8-4371-99b1-cdbee1363ed9 · outbound

This paper cites SimPO: Simple Preference Optimization with a Reference-Free Reward.

Controllable Protein Sequence Generation with LLM Preference Optimization SimPO: Simple Preference Optimization with a Reference-Free Reward

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T14:46:51.828305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 376dbddb-1af1-4a53-9e9a-bc153e20df36 · outbound

This paper cites Disentangling Length from Quality in Direct Preference Optimization.

Controllable Protein Sequence Generation with LLM Preference Optimization Disentangling Length from Quality in Direct Preference Optimization

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T14:46:51.832360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db640752-18c8-40de-8ac0-22cebb3e98bf · outbound

This paper cites Towards Understanding the Influence of Reward Margin on Preference Model Performance.

Controllable Protein Sequence Generation with LLM Preference Optimization Towards Understanding the Influence of Reward Margin on Preference Model Performance

Reference 8

Resolution: metadata mismatch; local_arxiv, observed 2026-08-10T14:46:51.929558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fb677ba9-ae9c-42b3-9b21-79d1c0ef2116 · outbound

This paper cites ProtChatGPT: Towards Understanding Proteins with Large Language Models.

Controllable Protein Sequence Generation with LLM Preference Optimization ProtChatGPT: Towards Understanding Proteins with Large Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T14:46:51.839938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c36ad9df-9192-4f7a-81f9-a0ccff64a790 · outbound

This paper cites InstructProtein: Aligning Human and Protein Language via Knowledge Instruction.

Controllable Protein Sequence Generation with LLM Preference Optimization InstructProtein: Aligning Human and Protein Language via Knowledge Instruction

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T14:46:51.843627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 728bccd1-2584-452a-b874-96aadaa50724 · outbound

This paper cites TaxDiff: Taxonomic-Guided Diffusion Model for Protein Sequence Generation.

Controllable Protein Sequence Generation with LLM Preference Optimization TaxDiff: Taxonomic-Guided Diffusion Model for Protein Sequence Generation

Reference 12

Resolution: metadata mismatch; local_arxiv, observed 2026-08-10T14:46:51.886328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3194413b-b474-48e5-ac3b-615afd23afc6 · outbound

This paper cites Fine-Tuning Language Models from Human Preferences.

Controllable Protein Sequence Generation with LLM Preference Optimization Fine-Tuning Language Models from Human Preferences

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-10T14:46:51.847434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ab17b67-c0e3-410b-acd2-ebda70ae43a5 · outbound

This paper cites bioRxiv, 2023–12.

Controllable Protein Sequence Generation with LLM Preference Optimization bioRxiv, 2023–12

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:46:51.996673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b9b5f4be-030e-4f3c-a9d7-e7b38cdad3c5 · outbound

This paper cites Direct Preference Optimization with an Offset.

Controllable Protein Sequence Generation with LLM Preference Optimization Direct Preference Optimization with an Offset

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-10T14:46:51.806846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 94071797-2ba7-4f93-af11-be65da36226d · inbound

AnnoDPO: Protein Functional Annotation Learning with Direct Preference Optimization cites this paper.

AnnoDPO: Protein Functional Annotation Learning with Direct Preference Optimization Controllable Protein Sequence Generation with LLM Preference Optimization

Reference 2023

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:47:22.322892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.