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Paper Citation Record · LEDGER

The Surprising Effectiveness of Test-Time Training for Few-Shot Learning

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 28 inbound Pith citation observations for arXiv:2411.07279.

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

pith.paper-citation-record.v1
2411.07279 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 28 of 28 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:10:22.583024Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:29:38.276422Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c378a790-c85c-4aa3-a444-1162daadad2c · inbound

The broader spectrum of in-context learning cites this paper.

The broader spectrum of in-context learning The Surprising Effectiveness of Test-Time Training for Few-Shot Learning

Reference 4

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no resolver link, observed 2026-08-11T22:10:22.583024Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:10:22.583024Z digest=sha256:da746d1d173bd38843645012443eb40d4b7f27518167076f54ffa6b3be968443

Observation 19863339-a4b7-443a-b032-1d60f73a0bde · inbound

Test-time regression: a unifying framework for designing sequence models with associative memory cites this paper.

Test-time regression: a unifying framework for designing sequence models with associative memory The Surprising Effectiveness of Test-Time Training for Few-Shot Learning

Reference 3

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no resolver link, observed 2026-08-10T17:22:06.940853Z

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source=arxiv_source observed=2026-08-10T17:22:06.940853Z digest=sha256:996db439d67084bc8a45cbb77fe31f645fb1dcb1eaea7f7b667c1d0daaf8e595

Observation 06de222c-5eeb-4b11-bdfe-777b79418b75 · inbound

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond cites this paper.

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond The Surprising Effectiveness of Test-Time Training for Few-Shot Learning

Reference 2

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no resolver link, observed 2026-08-07T15:12:21.572709Z

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source=pdf_text observed=2026-08-07T15:12:21.572709Z digest=sha256:ae6b87dc64e19b2677eae8ba704de336b218fb50b574f7ec622fd52434140ffa

Observation 147d9025-08f4-4eb2-b4a0-1554ebb730a9 · inbound

Test-Time Learning for Large Language Models cites this paper.

Test-Time Learning for Large Language Models The Surprising Effectiveness of Test-Time Training for Few-Shot Learning

Reference 3

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no resolver link, observed 2026-08-07T13:55:56.740512Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:55:56.740512Z digest=sha256:d313595f8d81b94e7effaaacc9d8c9e1fb33089d9d90fb04fc47e2b1658b71ba

Observation 0348a0c4-89a8-4461-b629-bd6a23b83746 · inbound

From Generation to Generalization: Emergent Few-Shot Learning in Video Diffusion Models cites this paper.

From Generation to Generalization: Emergent Few-Shot Learning in Video Diffusion Models The Surprising Effectiveness of Test-Time Training for Few-Shot Learning

Reference 1

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no resolver link, observed 2026-08-07T05:41:30.938318Z

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source=pdf_text observed=2026-08-07T05:41:30.938318Z digest=sha256:b04ed7019e2a6c9279102e9cef23f679ddfe478c82b39dbdc8899f92af616a0c

Observation 3cb88890-2ae6-42ce-8d98-163c47e12c78 · inbound

EasyARC: Evaluating Vision Language Models on True Visual Reasoning cites this paper.

EasyARC: Evaluating Vision Language Models on True Visual Reasoning The Surprising Effectiveness of Test-Time Training for Few-Shot Learning

Reference 1

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:06:40.255476Z digest=sha256:457d6a20d1d3818652e496201ba4dfb3ac1b5ff48d9fbe63c17e4f05dbaed5aa

Observation a69b0f49-8eb4-43bc-8e37-3de202b311bd · inbound

Context Tuning for In-Context Optimization cites this paper.

Context Tuning for In-Context Optimization The Surprising Effectiveness of Test-Time Training for Few-Shot Learning

Reference 1

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no resolver link, observed 2026-08-06T19:59:18.556575Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:59:18.556575Z digest=sha256:a736c535cc63c6cf39d25c236a9fa8a31d8925997a8d08bca06fba9e19530af7

Observation 2baf4354-e480-4f73-a687-1a363a2de7a7 · inbound

LeMix: Unified Scheduling for LLM Training and Inference on Multi-GPU Systems cites this paper.

LeMix: Unified Scheduling for LLM Training and Inference on Multi-GPU Systems The Surprising Effectiveness of Test-Time Training for Few-Shot Learning

Reference 5

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:03:36.469588Z digest=sha256:b0229e8370b37780cc0412c8abe5c87c82238c92228172db8c97f51711a8a6b2

Observation 25f70fce-4c82-4e96-a1f8-d2e4b20d22a3 · inbound

Channel-Wise MLPs Improve the Generalization of Recurrent Convolutional Networks cites this paper.

Channel-Wise MLPs Improve the Generalization of Recurrent Convolutional Networks The Surprising Effectiveness of Test-Time Training for Few-Shot Learning

Reference 1

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source=arxiv_source observed=2026-08-06T00:01:41.698247Z digest=sha256:3e8ff9c230d920dc77ec5c3129f46d2736d83a88cd1308bc55c524133e453f4a

Observation 74ec1a39-c551-448f-9705-6d172b09a4a8 · inbound

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

RTTC: Reward-Guided Collaborative Test-Time Compute The Surprising Effectiveness of Test-Time Training for Few-Shot Learning

Reference 3

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no resolver link, observed 2026-08-05T23:10:44.047194Z

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source=arxiv_source observed=2026-08-05T23:10:44.047194Z digest=sha256:d6ff95dcce57ff0e04bfd917746b835f0190dd5d1b1832c64a4cff69fc8a157f

Observation d52fc318-67ae-46dd-b852-e2d269127cfc · inbound

ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution cites this paper.

ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution The Surprising Effectiveness of Test-Time Training for Few-Shot Learning

Reference 148

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arxiv_id, observed 2026-05-16T13:58:58.948453Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-16T13:58:58.627748Z digest=sha256:6b20ce415b61d0c8696c221e7f8cbb520a448ae4e40bfe4387ad35538021d3e4

Observation 3ce71da5-23dd-493f-a734-cec387c117c4 · inbound

Aristotle: IMO-level Automated Theorem Proving cites this paper.

Aristotle: IMO-level Automated Theorem Proving The Surprising Effectiveness of Test-Time Training for Few-Shot Learning

Reference 1

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arxiv_id, observed 2026-05-15T08:51:38.010381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T08:51:37.827144Z digest=sha256:41f1bf1b8b4569eabc32679c39032c97ea8cbcc46849eaea037cd7be4bf16e7a

Observation 1a0be591-117a-4a0b-87cd-988494764e8e · inbound

Learning to Discover at Test Time cites this paper.

Learning to Discover at Test Time The Surprising Effectiveness of Test-Time Training for Few-Shot Learning

Reference 2

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arxiv_id, observed 2026-05-16T05:16:04.061574Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-16T05:16:04.001700Z digest=sha256:e27ee45811292652687b53901fe26a862b1adfa0bda0ea03b9a1a8eaf9953c88

Observation ca65ec89-26e9-4bec-9cd2-7be7481ee76f · inbound

Back into Plato's Cave: Examining Cross-modal Representational Convergence at Scale cites this paper.

Back into Plato's Cave: Examining Cross-modal Representational Convergence at Scale The Surprising Effectiveness of Test-Time Training for Few-Shot Learning

Reference 2

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arxiv_id, observed 2026-05-10T10:14:10.709129Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T05:00:31.717115Z digest=sha256:98fe2ca52c825f317614c51fc712001d6a9f43a90ea44a990273b47b229a9735

Observation 4e1badb6-612a-4975-a20f-6e807ac32b49 · inbound

One Step Forward and K Steps Back: Better Reasoning with Denoising Recursion Models cites this paper.

One Step Forward and K Steps Back: Better Reasoning with Denoising Recursion Models The Surprising Effectiveness of Test-Time Training for Few-Shot Learning

Reference 159

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arxiv_id, observed 2026-05-10T11:05:09.097080Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-10T04:56:35.796962Z digest=sha256:e14d08e2d509c791d2026085bc573968f76a86260c126d1ca1229f14e1623257

Observation f90e6780-7c68-48c8-a78f-963f81a2e2bf · inbound

Reasoning over Object Descriptions Improves Coreference Resolution in Task-Based Dialogue Systems cites this paper.

Reasoning over Object Descriptions Improves Coreference Resolution in Task-Based Dialogue Systems The Surprising Effectiveness of Test-Time Training for Few-Shot Learning

Reference 18

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arxiv_id, observed 2026-05-12T10:11:27.269364Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-07T07:33:25.476811Z digest=sha256:3549f3d22d53c1eeb75a2ba266fe8a59b87272af6884b3f108fbd32c5b4d98c0

Observation 929eeee9-9540-4218-ac48-04cbd7a59ff6 · inbound

Multi-Perspective Transformers in ARC-AGI-2 Challenge cites this paper.

Multi-Perspective Transformers in ARC-AGI-2 Challenge The Surprising Effectiveness of Test-Time Training for Few-Shot Learning

Reference 7

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arxiv_id, observed 2026-05-11T15:56:27.496810Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-09T19:02:53.994823Z digest=sha256:d9b6783e3a23098e8406c53e9ac5be2b0739d21610231f3850d7da86590860db

Observation c2f3ec59-a85d-4056-899e-de6a8cd2fa2e · 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 The Surprising Effectiveness of Test-Time Training for Few-Shot Learning

Reference 132

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arxiv_id, observed 2026-05-12T05:31:24.279432Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-12T05:27:11.761971Z digest=sha256:73d60eb5a9dad4e1ca67249a8143ef8ff9600b996f6852fbe53e57d45a16ed53

Observation 7241b18d-f46d-44d4-a899-28d41576f468 · inbound

Epistemic Uncertainty for Test-Time Discovery cites this paper.

Epistemic Uncertainty for Test-Time Discovery The Surprising Effectiveness of Test-Time Training for Few-Shot Learning

Reference 2

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arxiv_id, observed 2026-05-13T01:57:06.168479Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T01:52:41.192353Z digest=sha256:ad9229cbd1ae163585b48018b5a4671426b0d682cf273450828b9bac34253c8c

Observation 3aaa5a6e-230a-417d-866f-e5fbd8f15e05 · inbound

Efficient Test-Time Finetuning of LLMs via Convex Reconstruction and Gradient Caching cites this paper.

Efficient Test-Time Finetuning of LLMs via Convex Reconstruction and Gradient Caching The Surprising Effectiveness of Test-Time Training for Few-Shot Learning

Reference 7

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arxiv_id, observed 2026-06-29T09:03:15.949708Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-29T08:58:52.511363Z digest=sha256:0b5d4624f50007b10f534ed2c8a394cdddf02f1eb5bfef7abdbfb83d0e4ba8f5

Observation 9f543a41-9478-46f3-a9f6-301a5624d1df · inbound

Test-Time Training for Zero-Resource Dense Retrieval Reranking cites this paper.

Test-Time Training for Zero-Resource Dense Retrieval Reranking The Surprising Effectiveness of Test-Time Training for Few-Shot Learning

Reference 24

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arxiv_id, observed 2026-07-01T21:36:14.729342Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-06-28T16:49:36.972275Z digest=sha256:8319a455ffc37333da0584483f42cc40d85733ff989ffbee42b15f750e1419ce

Observation ac127669-0ddb-42dd-b908-7a707fbebe61 · inbound

EASE-TTT: Evidence-Aligned Selective Test-Time Training for Long-Context Question Answering cites this paper.

EASE-TTT: Evidence-Aligned Selective Test-Time Training for Long-Context Question Answering The Surprising Effectiveness of Test-Time Training for Few-Shot Learning

Reference 37

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arxiv_id, observed 2026-07-02T17:17:15.080688Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-06-27T22:05:00.537690Z digest=sha256:cc7d05f8377a08fd4d4230b0de7320984a173f56edff4d493bb1ec6c27d42df8

Observation 3ebe9dfb-705d-4fe4-aeea-46601a121f4f · inbound

Sakana Fugu Technical Report cites this paper.

Sakana Fugu Technical Report The Surprising Effectiveness of Test-Time Training for Few-Shot Learning

Reference 182

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arxiv_id, observed 2026-07-04T06:29:38.277775Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-06-26T14:22:37.596720Z digest=sha256:f9b00954a45001c6c73267ce761f7a90113d9f3b6aafa604eb4c471551ccf366

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

No Time Like the Present: Agentic Test-Time Training for LLM Agents cites this paper.

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

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source=pdf_text observed=2026-07-12T02:27:21.076403Z digest=sha256:889ff9abbe70bc36d75d97449ad2d9c7678f4a61c9a8419c1130ee2e9415e3db

Observation 593cd7de-19ff-4f93-8b1e-4bca0e409846 · inbound

Self-Guided Test-Time Training for Long-Context LLMs cites this paper.

Self-Guided Test-Time Training for Long-Context LLMs The Surprising Effectiveness of Test-Time Training for Few-Shot Learning

Reference 1

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no resolver link, observed 2026-07-13T03:11:14.520614Z

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source=pdf_text observed=2026-07-13T03:11:14.520614Z digest=sha256:0483e38fbb14eabda35f9c47fe8bf4d5b7fdfa9b9727d04ced898896acadfd1f

Observation ff3be5f9-45ad-4e67-a20c-5afc4cad61b2 · inbound

Consensus as Privileged Context for Label-Free Self-Distillation cites this paper.

Consensus as Privileged Context for Label-Free Self-Distillation The Surprising Effectiveness of Test-Time Training for Few-Shot Learning

Reference 2024

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source=pdf_text observed=2026-08-02T04:39:48.567283Z digest=sha256:7f2bb92f23661f31f09ce61aa415d429acafdccfe46633b93409dc72a4004d06

Observation bb93ad1b-c975-4ad8-9170-786ee17eae83 · inbound

Memoir: Should a Model Write to Its Memory While It Thinks? cites this paper.

Memoir: Should a Model Write to Its Memory While It Thinks? The Surprising Effectiveness of Test-Time Training for Few-Shot Learning

Reference 1

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no resolver link, observed 2026-08-01T09:25:22.519099Z

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source=pdf_text observed=2026-08-01T09:25:22.519099Z digest=sha256:c44b104ad8243d738914618aab5376f27f81e0be5b8258ece4f11af4f06f4742

Observation 267c094b-32aa-4078-97f7-149f5ed65537 · inbound

Test-Time Augmentation for LLMs: When Input Diversity Beats Output Diversity at Matched Compute cites this paper.

Test-Time Augmentation for LLMs: When Input Diversity Beats Output Diversity at Matched Compute The Surprising Effectiveness of Test-Time Training for Few-Shot Learning

Reference 3

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no resolver link, observed 2026-08-11T19:01:29.539084Z

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source=pdf_text observed=2026-08-11T19:01:29.539084Z digest=sha256:ba81b8aa03334abdb2f83873144c6500ef122a6a003a5a787cad93544e503b85