Paper Citation Record · LEDGER

Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2410.08020.

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

pith.paper-citation-record.v1
2410.08020 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:17:43.818843Z

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

1
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 d1ea5909-4513-4eaf-87c1-a98325cd8196 · inbound

Continuous Self-Improvement of Large Language Models by Test-time Training with Verifier-Driven Sample Selection cites this paper.

Continuous Self-Improvement of Large Language Models by Test-time Training with Verifier-Driven Sample Selection Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-07T14:17:43.818843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74703f7f-70e6-4208-b135-6fc9181dbc81 · inbound

Beyond Independent Passages: Adaptive Passage Combination Retrieval for Retrieval Augmented Open-Domain Question Answering cites this paper.

Beyond Independent Passages: Adaptive Passage Combination Retrieval for Retrieval Augmented Open-Domain Question Answering Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T20:01:29.069700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2319e5b2-34e9-4b20-8b26-d2555df7a2b4 · inbound

RTTC: Reward-Guided Collaborative Test-Time Compute cites this paper.

RTTC: Reward-Guided Collaborative Test-Time Compute Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T23:10:44.130565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44f6bcf9-f5e7-4791-8aa6-c2064de2b79e · inbound

The Signal is in the Steps: Local Scoring for Reasoning Data Selection cites this paper.

The Signal is in the Steps: Local Scoring for Reasoning Data Selection Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-18T10:16:14.235709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ad8f59f0-59a3-446f-b55b-6b1ba6b8427a · inbound

Learning to Discover at Test Time cites this paper.

Learning to Discover at Test Time Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-16T05:16:04.113195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9d56d6ae-3ad8-4349-a497-dbd30086eec0 · inbound

Too Correct to Learn: Reinforcement Learning on Saturated Reasoning Data cites this paper.

Too Correct to Learn: Reinforcement Learning on Saturated Reasoning Data Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-10T05:36:02.038742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 461e4aef-a799-49ba-86c4-228350404581 · inbound

Gradient-Based Program Synthesis with Neurally Interpreted Languages cites this paper.

Gradient-Based Program Synthesis with Neurally Interpreted Languages Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs

Reference 98

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:56:11.667106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0c42834e-5f81-4d61-a1ec-a114ff388c93 · inbound

The Benefits of Temporal Correlations: SGD Learns k-Juntas from Random Walks Efficiently cites this paper.

The Benefits of Temporal Correlations: SGD Learns k-Juntas from Random Walks Efficiently Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs

Reference 131

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:31:24.155336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ffda338b-0dba-4b44-b55f-f28078bf944e · inbound

Streamlining Analysis and Design of Two-Dimensional Electronic Spectroscopy using Machine Learning cites this paper.

Streamlining Analysis and Design of Two-Dimensional Electronic Spectroscopy using Machine Learning Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-06-26T19:29:48.367846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ea850ac0-098d-4301-8c38-951490bf36e6 · inbound

HiLSVA: Design and Evaluation of a Human-in-the-Loop Agentic System for Scientific Visualization cites this paper.

HiLSVA: Design and Evaluation of a Human-in-the-Loop Agentic System for Scientific Visualization Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-07-04T14:19:55.065271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d1efc3e9-1df1-480e-8a18-419cb4fbad2a · inbound

HiLSVA: Design and Evaluation of a Human-in-the-Loop Agentic System for Scientific Visualization cites this paper.

HiLSVA: Design and Evaluation of a Human-in-the-Loop Agentic System for Scientific Visualization Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-02T10:06:43.713117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f956b167-8959-43aa-8863-34ecd247ec05 · inbound

HiLSVA: Design and Evaluation of a Human-in-the-Loop Agentic System for Scientific Visualization cites this paper.

HiLSVA: Design and Evaluation of a Human-in-the-Loop Agentic System for Scientific Visualization Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-02T10:06:43.715940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41f58d30-0c6f-444b-8f85-674957740a93 · inbound

HMARS: A Hierarchical Multi-Agent Memory System for Long-Context Reasoning cites this paper.

HMARS: A Hierarchical Multi-Agent Memory System for Long-Context Reasoning Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-06-30T11:34:37.881817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.