Paper Citation Record · LEDGER

Exploring Post-Training Alignment of Small Language Models for Biomedical Data-to-Text Generation: A Case Study of Medication Leaflet

As of 6 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2607.13430.

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

pith.paper-citation-record.v1
2607.13430 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T05:16:31.586810Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

23 of 23 outbound references displayed

verified exact5
verified fuzzy0
unresolved18
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fc50f2d6-f2a5-4b75-8094-246d7e552300 · outbound

This paper cites Evidence-Based Design of Prescription Medication Information: An Updated Scoping Review.

Exploring Post-Training Alignment of Small Language Models for Biomedical Data-to-Text Generation: A Case Study of Medication Leaflet Evidence-Based Design of Prescription Medication Information: An Updated Scoping Review

Reference 1

Resolution: verified exact; doi, observed 2026-08-02T05:18:32.301571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0dc09608-32de-4cdd-b2c6-9736e9422fd3 · outbound

This paper cites A systematic review of quantitative and qualitative research on the role and effectiveness of written information available to patients about individual medicines.

Exploring Post-Training Alignment of Small Language Models for Biomedical Data-to-Text Generation: A Case Study of Medication Leaflet A systematic review of quantitative and qualitative research on the role and effectiveness of written information available to patients about individual medicines

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T05:16:29.264822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e62000a7-f90e-4523-a8e8-7fc017a94113 · outbound

This paper cites Benefits and challenges of electronic package leaflet (ePL) - review of ePL pilots in hospital settings in Europe.

Exploring Post-Training Alignment of Small Language Models for Biomedical Data-to-Text Generation: A Case Study of Medication Leaflet Benefits and challenges of electronic package leaflet (ePL) - review of ePL pilots in hospital settings in Europe

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T05:16:29.365295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9146698-dc56-4121-a91a-e4e7e4cdc48a · outbound

This paper cites FDA drug labeling: rich resources to facilitate precision medicine, drug safety, and regulatory science.

Exploring Post-Training Alignment of Small Language Models for Biomedical Data-to-Text Generation: A Case Study of Medication Leaflet FDA drug labeling: rich resources to facilitate precision medicine, drug safety, and regulatory science

Reference 4

Resolution: verified exact; doi, observed 2026-08-02T05:18:31.725812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation bbd8b35b-3746-4dd5-9d94-c43ade6dd878 · outbound

This paper cites Factors that Facilitate and Hinder the Comprehension of Patient Information Leaflets (PILs): A Brief Scoping Review.

Exploring Post-Training Alignment of Small Language Models for Biomedical Data-to-Text Generation: A Case Study of Medication Leaflet Factors that Facilitate and Hinder the Comprehension of Patient Information Leaflets (PILs): A Brief Scoping Review

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T05:16:29.596169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21ff7c68-1efe-4a35-9bd0-fe344b289cb2 · outbound

This paper cites Neural text generation in regulatory medical writing.

Exploring Post-Training Alignment of Small Language Models for Biomedical Data-to-Text Generation: A Case Study of Medication Leaflet Neural text generation in regulatory medical writing

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T05:16:29.717069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b2082b1-68bb-4507-bd32-ff5034f6e186 · outbound

This paper cites Biomedical Data-to-Text Generation via Fine-Tuning Transformers.

Exploring Post-Training Alignment of Small Language Models for Biomedical Data-to-Text Generation: A Case Study of Medication Leaflet Biomedical Data-to-Text Generation via Fine-Tuning Transformers

Reference 7

Resolution: verified exact; doi, observed 2026-08-02T05:18:30.619157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 5bd4b3b0-d6db-4f92-a396-96fa49d38d48 · outbound

This paper cites Natural Language Processing for Digital Health in the Era of Large Language Models.

Exploring Post-Training Alignment of Small Language Models for Biomedical Data-to-Text Generation: A Case Study of Medication Leaflet Natural Language Processing for Digital Health in the Era of Large Language Models

Reference 8

Resolution: verified exact; doi, observed 2026-08-02T05:18:30.417235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 5bf668f5-ee1d-41d4-989f-e950f36e8d3c · outbound

This paper cites A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness.

Exploring Post-Training Alignment of Small Language Models for Biomedical Data-to-Text Generation: A Case Study of Medication Leaflet A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T05:16:30.005327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 000c64eb-f4f0-4871-8621-34aa221d2cf5 · outbound

This paper cites Qwen2.5 Technical Report.

Exploring Post-Training Alignment of Small Language Models for Biomedical Data-to-Text Generation: A Case Study of Medication Leaflet Qwen2.5 Technical Report

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T05:16:30.138598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59f991c4-9032-44b0-a7b1-4f155a108417 · outbound

This paper cites Training language models to follow instructions with human feedback.

Exploring Post-Training Alignment of Small Language Models for Biomedical Data-to-Text Generation: A Case Study of Medication Leaflet Training language models to follow instructions with human feedback

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T05:16:30.264269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a332ec96-510d-49ea-a523-6e5e6e136e6a · outbound

This paper cites Direct Preference Optimization: Your Language Model is Secretly a Reward Model.

Exploring Post-Training Alignment of Small Language Models for Biomedical Data-to-Text Generation: A Case Study of Medication Leaflet Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T05:16:30.381429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 468fc865-83fc-4a5f-b383-29d832dad947 · outbound

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

Exploring Post-Training Alignment of Small Language Models for Biomedical Data-to-Text Generation: A Case Study of Medication Leaflet ORPO: Monolithic Preference Optimization without Reference Model

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T05:16:30.494659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f268f9e-a737-4cbb-940c-232992a505e2 · outbound

This paper cites Group Sequence Policy Optimization.

Exploring Post-Training Alignment of Small Language Models for Biomedical Data-to-Text Generation: A Case Study of Medication Leaflet Group Sequence Policy Optimization

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T05:16:30.587308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd1de455-ce36-4fb7-9860-7081f6367146 · outbound

This paper cites OpenFDA: an innovative platform providing access to a wealth of FDA’s publicly available data.

Exploring Post-Training Alignment of Small Language Models for Biomedical Data-to-Text Generation: A Case Study of Medication Leaflet OpenFDA: an innovative platform providing access to a wealth of FDA’s publicly available data

Reference 15

Resolution: verified exact; doi, observed 2026-08-02T05:18:29.608980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6d89d29f-2556-4b08-b3a1-859cca719edc · outbound

This paper cites Instruction Fine-Tuning: Does Prompt Loss Matter?.

Exploring Post-Training Alignment of Small Language Models for Biomedical Data-to-Text Generation: A Case Study of Medication Leaflet Instruction Fine-Tuning: Does Prompt Loss Matter?

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T05:16:30.742293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29914fe9-9913-4a13-b578-64224bce5fe7 · outbound

This paper cites Meteor: an automatic metric for MT evaluation with high levels of correlation with human judgments.

Exploring Post-Training Alignment of Small Language Models for Biomedical Data-to-Text Generation: A Case Study of Medication Leaflet Meteor: an automatic metric for MT evaluation with high levels of correlation with human judgments

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T05:16:30.823467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b81b6c3a-3c5e-48dd-b24c-380f860806f1 · outbound

This paper cites Understanding R1-Zero-Like Training: A Critical Perspective.

Exploring Post-Training Alignment of Small Language Models for Biomedical Data-to-Text Generation: A Case Study of Medication Leaflet Understanding R1-Zero-Like Training: A Critical Perspective

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T05:16:30.921406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73fd6499-e6b4-4df9-99e5-61aa69576854 · outbound

This paper cites RS-DPO: A Hybrid Rejection Sampling and Direct Preference Optimization Method for Alignment of Large Language Models.

Exploring Post-Training Alignment of Small Language Models for Biomedical Data-to-Text Generation: A Case Study of Medication Leaflet RS-DPO: A Hybrid Rejection Sampling and Direct Preference Optimization Method for Alignment of Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T05:16:31.076390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2eea844-ff0e-42e8-9699-5ff8fa9d8a90 · outbound

This paper cites Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment.

Exploring Post-Training Alignment of Small Language Models for Biomedical Data-to-Text Generation: A Case Study of Medication Leaflet Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T05:16:31.177775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48b51f44-6878-43e3-b2df-6c734d39a1f1 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Exploring Post-Training Alignment of Small Language Models for Biomedical Data-to-Text Generation: A Case Study of Medication Leaflet LoRA: Low-Rank Adaptation of Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T05:16:31.303237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac6f51fd-7ea9-461a-b765-f1cb1002f4c8 · outbound

This paper cites QLoRA: Efficient Finetuning of Quantized LLMs.

Exploring Post-Training Alignment of Small Language Models for Biomedical Data-to-Text Generation: A Case Study of Medication Leaflet QLoRA: Efficient Finetuning of Quantized LLMs

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T05:16:31.466766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77aebade-82ba-4d20-b4cf-e923fdb95995 · outbound

This paper cites Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization.

Exploring Post-Training Alignment of Small Language Models for Biomedical Data-to-Text Generation: A Case Study of Medication Leaflet Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T05:16:31.586810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.