Paper Citation Record · LEDGER

Error-Aware Curriculum Learning for Biomedical Relation Classification

As of 17 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2507.14374.

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

pith.paper-citation-record.v1
2507.14374 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:12:42.069380Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

26 of 26 outbound references displayed

verified exact9
verified fuzzy6
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5e9b9365-efa2-43e1-9107-e2e8f8c1cf33 · outbound

This paper cites What do You Mean by Relation Extraction? A Survey on Datasets and Study on Scientific Relation Classification.

Error-Aware Curriculum Learning for Biomedical Relation Classification What do You Mean by Relation Extraction? A Survey on Datasets and Study on Scientific Relation Classification

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-06T16:12:42.508164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6829a607-28c7-4f0d-91b4-fb8413fee0db · outbound

This paper cites GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks.

Error-Aware Curriculum Learning for Biomedical Relation Classification GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-06T16:12:42.493788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4eafe5ad-7a8e-4b4b-abcc-fd1a511c96c9 · outbound

This paper cites WHERE and WHICH: Iterative Debate for Biomedical Synthetic Data Augmentation.

Error-Aware Curriculum Learning for Biomedical Relation Classification WHERE and WHICH: Iterative Debate for Biomedical Synthetic Data Augmentation

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-06T16:12:42.469449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e7ea1df3-830d-4860-bfca-7fd7124ead2d · outbound

This paper cites Can reasoning llms enhance clinical document classification? arXiv preprint arXiv:2504.08040,.

Error-Aware Curriculum Learning for Biomedical Relation Classification Can reasoning llms enhance clinical document classification? arXiv preprint arXiv:2504.08040,

Reference 9

Resolution: verified exact; raw_fallback, observed 2026-08-06T16:12:42.440917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8dfeb7cd-34e3-4a6d-a1d3-df949f79aeda · outbound

This paper cites LLMs-as-Instructors: Learning from Errors Toward Automating Model Improvement.

Error-Aware Curriculum Learning for Biomedical Relation Classification LLMs-as-Instructors: Learning from Errors Toward Automating Model Improvement

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-06T16:12:42.354779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d5f2a02f-6377-42c9-a5aa-206afb036f1e · outbound

This paper cites AdaptMI: Adaptive Skill-based In-context Math Instruction for Small Language Models.

Error-Aware Curriculum Learning for Biomedical Relation Classification AdaptMI: Adaptive Skill-based In-context Math Instruction for Small Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T16:12:42.023069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74193a09-a47e-469d-a293-1d92eec478bd · outbound

This paper cites Small Models, Big Insights: Leveraging Slim Proxy Models To Decide When and What to Retrieve for LLMs.

Error-Aware Curriculum Learning for Biomedical Relation Classification Small Models, Big Insights: Leveraging Slim Proxy Models To Decide When and What to Retrieve for LLMs

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T16:12:42.026096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f8c6c4b-7dab-41a6-9e1e-9e893284199b · outbound

This paper cites Small Language Models Need Strong Verifiers to Self-Correct Reasoning.

Error-Aware Curriculum Learning for Biomedical Relation Classification Small Language Models Need Strong Verifiers to Self-Correct Reasoning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T16:12:42.029270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85b10bc3-ed96-49e5-9542-daf85d2a01bb · outbound

This paper cites Enhancing the Reasoning Capabilities of Small Language Models via Solution Guidance Fine-Tuning.

Error-Aware Curriculum Learning for Biomedical Relation Classification Enhancing the Reasoning Capabilities of Small Language Models via Solution Guidance Fine-Tuning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T16:12:42.032360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60961659-bfe2-4596-8f27-66a7a6e2464b · outbound

This paper cites Released May 13, 2024; supports text, audio & vision input.

Error-Aware Curriculum Learning for Biomedical Relation Classification Released May 13, 2024; supports text, audio & vision input

Reference 15

Resolution: verified exact; doi, observed 2026-08-06T16:12:42.100809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a4a4a07a-3d57-44b4-8036-d74c4364bb3a · outbound

This paper cites Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing.

Error-Aware Curriculum Learning for Biomedical Relation Classification Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T16:12:42.038846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e160753-8928-491b-a0a2-eb9892f64f4f · outbound

This paper cites Exploring large language models for knowledge graph completion.

Error-Aware Curriculum Learning for Biomedical Relation Classification Exploring large language models for knowledge graph completion

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:12:42.558557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ba5d9492-5ba4-458c-b550-bb5350f41c67 · outbound

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

Error-Aware Curriculum Learning for Biomedical Relation Classification LoRA: Low-Rank Adaptation of Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T16:12:42.045338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f67098be-2084-4d16-93ca-6ecd78884107 · outbound

This paper cites Me-llama: Foundation large language models for medical applications.

Error-Aware Curriculum Learning for Biomedical Relation Classification Me-llama: Foundation large language models for medical applications

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:12:42.538819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 071ec9ce-f705-4efb-b24a-f0e62cb050fb · outbound

This paper cites Decorate the Examples: A Simple Method of Prompt Design for Biomedical Relation Extraction.

Error-Aware Curriculum Learning for Biomedical Relation Classification Decorate the Examples: A Simple Method of Prompt Design for Biomedical Relation Extraction

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-06T16:12:42.253472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 38576c62-c9f6-4f17-8996-8d17cc6c4c6d · outbound

This paper cites SciFive: a text-to-text transformer model for biomedical literature.

Error-Aware Curriculum Learning for Biomedical Relation Classification SciFive: a text-to-text transformer model for biomedical literature

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T16:12:42.063803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cf53dba-12bf-4272-a3ea-597baa26ea88 · outbound

This paper cites Knowledge-augmented pre-trained language models for biomedical relation extraction.

Error-Aware Curriculum Learning for Biomedical Relation Classification Knowledge-augmented pre-trained language models for biomedical relation extraction

Reference 25

Resolution: verified exact; raw_fallback, observed 2026-08-06T16:12:42.226328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 89ece5b0-0165-4552-82a4-553ad8ca2921 · outbound

This paper cites Relational extraction from biomedical texts with capsule network and hybrid knowledge graph embeddings.

Error-Aware Curriculum Learning for Biomedical Relation Classification Relational extraction from biomedical texts with capsule network and hybrid knowledge graph embeddings

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:12:42.529218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 47f32010-9368-4b4c-a2d6-b195a2cecfa8 · outbound

This paper cites Extracting drug-drug and protein-protein interactions from text using a continuous update of tree-transformers.

Error-Aware Curriculum Learning for Biomedical Relation Classification Extracting drug-drug and protein-protein interactions from text using a continuous update of tree-transformers

Reference 2009

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:12:42.548723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 54d4268c-0e61-4bb0-9c92-342699a37c4d · outbound

This paper cites GPT-4 Technical Report.

Error-Aware Curriculum Learning for Biomedical Relation Classification GPT-4 Technical Report

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-06T16:12:41.985696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4568f32f-3315-413b-b280-7e77354c1b13 · outbound

This paper cites LinkBERT: Pretraining Language Models with Document Links.

Error-Aware Curriculum Learning for Biomedical Relation Classification LinkBERT: Pretraining Language Models with Document Links

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-06T16:12:42.057818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d11a1bc-93ea-489f-a0b0-755df028861e · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Error-Aware Curriculum Learning for Biomedical Relation Classification Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-06T16:12:42.051859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8f5b012-d020-40a3-93cd-27fa7977cf81 · outbound

This paper cites Relation classification via bidirectional prompt learning with data augmentation by large language model.

Error-Aware Curriculum Learning for Biomedical Relation Classification Relation classification via bidirectional prompt learning with data augmentation by large language model

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:12:42.568598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cfd8494a-9413-455c-8c8d-d25e2a6e4303 · outbound

This paper cites Improved Relation Classification by Deep Recurrent Neural Networks with Data Augmentation.

Error-Aware Curriculum Learning for Biomedical Relation Classification Improved Relation Classification by Deep Recurrent Neural Networks with Data Augmentation

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T16:12:42.006227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1dff7393-44be-4f91-b247-0b72aa1885ba · outbound

This paper cites What’s wrong with your model? a quantitative analysis of relation classification.

Error-Aware Curriculum Learning for Biomedical Relation Classification What’s wrong with your model? a quantitative analysis of relation classification

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:12:42.579791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c1d11a58-118a-4006-b0ac-66e3ce297332 · outbound

This paper cites Chain of Thought with Explicit Evidence Reasoning for Few-shot Relation Extraction.

Error-Aware Curriculum Learning for Biomedical Relation Classification Chain of Thought with Explicit Evidence Reasoning for Few-shot Relation Extraction

Reference 2025

Resolution: verified exact; local_arxiv, observed 2026-08-06T16:12:42.455599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.