Paper Citation Record · LEDGER

LIFT: Improving Long Context Understanding Through Long Input Fine-Tuning

As of 15 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 3 inbound Pith citation observations for arXiv:2412.13626.

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

pith.paper-citation-record.v1
2412.13626 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:00:31.149939Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T05:02:55.841782Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T14:06:38.107747Z

Reference resolution

20 of 20 outbound references displayed

verified exact0
verified fuzzy0
unresolved20
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5b7a1584-9540-4e6e-83ea-c0e62cd2a16f · outbound

This paper cites GPT-4 Technical Report.

LIFT: Improving Long Context Understanding Through Long Input Fine-Tuning GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T13:00:31.092288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b38c39fc-2d0a-4348-a113-0104667a1934 · outbound

This paper cites LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding.

LIFT: Improving Long Context Understanding Through Long Input Fine-Tuning LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T13:00:31.098693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24b0837e-0675-408c-8da0-367bbe2a84e4 · outbound

This paper cites The Llama 3 Herd of Models.

LIFT: Improving Long Context Understanding Through Long Input Fine-Tuning The Llama 3 Herd of Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T13:00:31.111732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5b081b6-ba13-41bf-a8b0-bd6fe396dbc5 · outbound

This paper cites LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs.

LIFT: Improving Long Context Understanding Through Long Input Fine-Tuning LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T13:00:31.118172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 161f3337-f504-4bd2-af70-039c6b0191eb · outbound

This paper cites LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning.

LIFT: Improving Long Context Understanding Through Long Input Fine-Tuning LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T13:00:31.120892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c0c0afc-6ff0-445b-8862-486b728028f0 · outbound

This paper cites Reformer: The Efficient Transformer.

LIFT: Improving Long Context Understanding Through Long Input Fine-Tuning Reformer: The Efficient Transformer

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T13:00:31.123738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20517376-4e25-4101-8868-c18b137d74be · outbound

This paper cites LooGLE: Can Long-Context Language Models Understand Long Contexts?.

LIFT: Improving Long Context Understanding Through Long Input Fine-Tuning LooGLE: Can Long-Context Language Models Understand Long Contexts?

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T13:00:31.126743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a1827af-a380-434f-a47f-b17b1df0281d · outbound

This paper cites YaRN: Efficient Context Window Extension of Large Language Models.

LIFT: Improving Long Context Understanding Through Long Input Fine-Tuning YaRN: Efficient Context Window Extension of Large Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T13:00:31.129477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 926fd654-d32d-4bed-bf1e-354ccad98712 · outbound

This paper cites Learning to (Learn at Test Time): RNNs with Expressive Hidden States.

LIFT: Improving Long Context Understanding Through Long Input Fine-Tuning Learning to (Learn at Test Time): RNNs with Expressive Hidden States

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T13:00:31.132672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71cdfe28-d35d-46e4-9d80-d0b8f2528dab · outbound

This paper cites With Greater Text Comes Greater Necessity: Inference-Time Training Helps Long Text Generation.

LIFT: Improving Long Context Understanding Through Long Input Fine-Tuning With Greater Text Comes Greater Necessity: Inference-Time Training Helps Long Text Generation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T13:00:31.138386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e6a23fc-90ef-4985-aefd-e759e369b5f7 · outbound

This paper cites Retrieval meets Long Context Large Language Models.

LIFT: Improving Long Context Understanding Through Long Input Fine-Tuning Retrieval meets Long Context Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T13:00:31.141112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be4636eb-25c8-4dd0-aa96-125221107f3d · outbound

This paper cites AIR-Bench: Benchmarking Large Audio-Language Models via Generative Comprehension.

LIFT: Improving Long Context Understanding Through Long Input Fine-Tuning AIR-Bench: Benchmarking Large Audio-Language Models via Generative Comprehension

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T13:00:31.143950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3476f5a-30be-46dc-a2cc-c763135228f5 · outbound

This paper cites BERTScore: Evaluating Text Generation with BERT.

LIFT: Improving Long Context Understanding Through Long Input Fine-Tuning BERTScore: Evaluating Text Generation with BERT

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T13:00:31.149939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbb82816-d578-4eac-b22d-275be0f9062a · outbound

This paper cites Longformer: The Long-Document Transformer.

LIFT: Improving Long Context Understanding Through Long Input Fine-Tuning Longformer: The Long-Document Transformer

Reference 2005

Resolution: unresolved; no resolver link, observed 2026-08-11T13:00:31.101978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26cfa1b0-0162-41fc-ad7e-7af93fb0ded0 · outbound

This paper cites Linformer: Self-Attention with Linear Complexity.

LIFT: Improving Long Context Understanding Through Long Input Fine-Tuning Linformer: Self-Attention with Linear Complexity

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-11T13:00:31.135368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63db3ec0-9811-4122-8bdb-a7e3273300c9 · outbound

This paper cites In-Context Learning with Long-Context Models: An In-Depth Exploration.

LIFT: Improving Long Context Understanding Through Long Input Fine-Tuning In-Context Learning with Long-Context Models: An In-Depth Exploration

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-11T13:00:31.105283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64da7982-9945-4a70-a091-c82e1ad83296 · outbound

This paper cites Big Bird: Transformers for Longer Sequences.

LIFT: Improving Long Context Understanding Through Long Input Fine-Tuning Big Bird: Transformers for Longer Sequences

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-11T13:00:31.147145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0869a9a5-e396-47fc-98ed-faeaa36fe2e2 · outbound

This paper cites LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression.

LIFT: Improving Long Context Understanding Through Long Input Fine-Tuning LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-11T13:00:31.115280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0bfba72-c368-4e0e-a315-a08a069ad9d2 · outbound

This paper cites Physics of Language Models: Part 3.1, Knowledge Storage and Extraction.

LIFT: Improving Long Context Understanding Through Long Input Fine-Tuning Physics of Language Models: Part 3.1, Knowledge Storage and Extraction

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-11T13:00:31.095484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b8ed607-a9ce-4d59-a4d9-ee8d263ee59e · outbound

This paper cites How Robust is GPT-3.5 to Predecessors? A Comprehensive Study on Language Understanding Tasks.

LIFT: Improving Long Context Understanding Through Long Input Fine-Tuning How Robust is GPT-3.5 to Predecessors? A Comprehensive Study on Language Understanding Tasks

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-11T13:00:31.108545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation fa34c117-8ece-4113-ad7e-f93c932be89b · inbound

Enhancing Auto-regressive Chain-of-Thought through Loop-Aligned Reasoning cites this paper.

Enhancing Auto-regressive Chain-of-Thought through Loop-Aligned Reasoning LIFT: Improving Long Context Understanding Through Long Input Fine-Tuning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-08T05:02:55.841782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 288d86ab-58a8-495f-a228-5b9ee5ec114d · inbound

HCAttention: Extreme KV Cache Compression via Heterogeneous Attention Computing for LLMs cites this paper.

HCAttention: Extreme KV Cache Compression via Heterogeneous Attention Computing for LLMs LIFT: Improving Long Context Understanding Through Long Input Fine-Tuning

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:06:38.123954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d24f55a2-ba63-4e50-bdd5-620d050f8b72 · inbound

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models cites this paper.

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models LIFT: Improving Long Context Understanding Through Long Input Fine-Tuning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T23:37:56.701093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.