Paper Citation Record · LEDGER

No Time Like the Present: Agentic Test-Time Training for LLM Agents

As of 14 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2607.03441.

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

pith.paper-citation-record.v1
2607.03441 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T02:27:21.076403Z

measured 14 of 14 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 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

14 of 14 outbound references displayed

verified exact0
verified fuzzy0
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7a93122f-95f5-4a88-ac63-32c238f99f0a · outbound

This paper cites Self-improving llm agents at test-time.arXiv preprint arXiv:2510.07841,.

No Time Like the Present: Agentic Test-Time Training for LLM Agents Self-improving llm agents at test-time.arXiv preprint arXiv:2510.07841,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-12T02:27:21.076403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba8ffd4c-82a6-41dc-ab99-037f88815ae5 · outbound

This paper cites The Surprising Effectiveness of Test-Time Training for Few-Shot Learning.

No Time Like the Present: Agentic Test-Time Training for LLM Agents The Surprising Effectiveness of Test-Time Training for Few-Shot Learning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-12T02:27:21.076403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36a2e21c-cd19-4c1f-a23b-93383ef76245 · outbound

This paper cites Let’s (not) just put things in context: Test-time training for long-context llms.arXiv preprint arXiv:2512.13898,.

No Time Like the Present: Agentic Test-Time Training for LLM Agents Let’s (not) just put things in context: Test-time training for long-context llms.arXiv preprint arXiv:2512.13898,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-12T02:27:21.076403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c8f77c6-aab0-4f54-89d6-a272dca33f39 · outbound

This paper cites The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models.

No Time Like the Present: Agentic Test-Time Training for LLM Agents The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-12T02:27:21.076403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53a9ff00-4aa3-427b-ba8d-0d9e21636a73 · outbound

This paper cites In-Place Test-Time Training.

No Time Like the Present: Agentic Test-Time Training for LLM Agents In-Place Test-Time Training

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-12T02:27:21.076403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26b0d79f-cc02-41de-bc3d-7037f0f59df5 · outbound

This paper cites Test-time training on nearest neighbors for large language models.

No Time Like the Present: Agentic Test-Time Training for LLM Agents Test-time training on nearest neighbors for large language models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-12T02:27:21.076403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43940267-6b0a-43eb-8ba8-220fc5b2d4b5 · outbound

This paper cites Swe-bench: Can language models resolve real-world github issues? InInternational Conference on Learning Representations, volume 2024, pp.

No Time Like the Present: Agentic Test-Time Training for LLM Agents Swe-bench: Can language models resolve real-world github issues? InInternational Conference on Learning Representations, volume 2024, pp

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-12T02:27:21.076403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51235d32-efb5-4e6c-a337-bcc00afda302 · outbound

This paper cites Towards Stable Test-Time Adaptation in Dynamic Wild World.

No Time Like the Present: Agentic Test-Time Training for LLM Agents Towards Stable Test-Time Adaptation in Dynamic Wild World

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-12T02:27:21.076403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee64e17b-be57-4554-a7bc-f546d9e29e2a · outbound

This paper cites ALFWorld: Aligning Text and Embodied Environments for Interactive Learning.

No Time Like the Present: Agentic Test-Time Training for LLM Agents ALFWorld: Aligning Text and Embodied Environments for Interactive Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-12T02:27:21.076403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c116bc9-ec1e-4fcf-9cc4-d4d17be321df · outbound

This paper cites Gemma 3 Technical Report.

No Time Like the Present: Agentic Test-Time Training for LLM Agents Gemma 3 Technical Report

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-12T02:27:21.076403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbe5ec5a-c586-48f0-b9a8-161795de8cd7 · outbound

This paper cites Tent: Fully Test-time Adaptation by Entropy Minimization.

No Time Like the Present: Agentic Test-Time Training for LLM Agents Tent: Fully Test-time Adaptation by Entropy Minimization

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-12T02:27:21.076403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bfc1aa7-4ff7-45ba-ba08-a37baa2ac615 · outbound

This paper cites SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering.

No Time Like the Present: Agentic Test-Time Training for LLM Agents SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-12T02:27:21.076403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f58cff8c-b7e6-4646-aff3-cd8373ab554f · outbound

This paper cites Ett: Expanding the long context understanding capability of llms at test-time.arXiv preprint arXiv:2507.06313,.

No Time Like the Present: Agentic Test-Time Training for LLM Agents Ett: Expanding the long context understanding capability of llms at test-time.arXiv preprint arXiv:2507.06313,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-12T02:27:21.076403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a319b07b-7136-4610-a2c4-48adde242b96 · outbound

This paper cites Our implemen- tation decouples training from inference using vLLM’s runtime LoRA API (Kwon et al., 2023).

No Time Like the Present: Agentic Test-Time Training for LLM Agents Our implemen- tation decouples training from inference using vLLM’s runtime LoRA API (Kwon et al., 2023)

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-12T02:27:21.076403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.