Pith. sign in

Paper Citation Record · LEDGER

Test-Time Learning with an Evolving Library

As of 11 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 1 inbound Pith citation observation for arXiv:2605.14477.

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

pith.paper-citation-record.v1
2605.14477 v2

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T14:06:43.714455Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T01:12:34.009288Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

45 of 45 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved44
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9f308c0c-3423-45d3-ac93-588f441b4924 · outbound

This paper cites Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou.

Test-Time Learning with an Evolving Library Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-02T14:06:39.906001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:06:39.906001Z digest=sha256:f9a2064740416199f57e78e5e93ee934d60cc0ce65f2cc328f87546dcda07da7

Observation bdeb3aed-eea5-4a84-96e9-8203bbc60b4c · outbound

This paper cites Large language models are better reasoners with self-verification.

Test-Time Learning with an Evolving Library Large language models are better reasoners with self-verification

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-02T14:06:40.044889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:06:40.044889Z digest=sha256:644895678e482cd582fe923e9fa89857f1075e5844c3617a74db9342485c1587

Observation f62175bf-1672-447d-b8ee-bf0cce58495b · outbound

This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

Test-Time Learning with an Evolving Library Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-02T14:06:40.223730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:06:40.223730Z digest=sha256:da94784b100486b95732743425f4f42174dce138a771d069e02b5e7ec7d9fa83

Observation b5610af5-1758-4bf8-b9cf-e715c85ada39 · outbound

This paper cites Test-time recursive thinking: Self-improvement without external feedback.arXiv preprint arXiv:2602.03094, 2026.

Test-Time Learning with an Evolving Library Test-time recursive thinking: Self-improvement without external feedback.arXiv preprint arXiv:2602.03094, 2026

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-02T14:06:40.368807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:06:40.368807Z digest=sha256:f5fbc3fd9db21898467972a019543e3897a075883a4459a70aa14abd7bd84b57

Observation 66aa346a-37bc-4329-8880-2a8b4c6f5bcf · outbound

This paper cites s1: Simple test-time scaling.

Test-Time Learning with an Evolving Library s1: Simple test-time scaling

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-02T14:06:40.512017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:06:40.512017Z digest=sha256:5cc9afdac668fe5df2a1e37e08a4d3a2317270ba561a286810be5651486ed5ee

Observation 6c1fef70-55fd-45c0-a85d-1fd285584f77 · outbound

This paper cites Recursive self-aggregation unlocks deep thinking in large language models.arXiv preprint arXiv:2509.26626, 2025.

Test-Time Learning with an Evolving Library Recursive self-aggregation unlocks deep thinking in large language models.arXiv preprint arXiv:2509.26626, 2025

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-02T14:06:40.627848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:06:40.627848Z digest=sha256:b761d852bfed45e35c500bdb04525c8b7b4018faa796e5c9a8f87ced82b97133

Observation 41bfad03-bf5d-4557-8d1e-9fb079a5c35f · outbound

This paper cites Memory-assisted prompt editing to improve GPT-3 after deployment.

Test-Time Learning with an Evolving Library Memory-assisted prompt editing to improve GPT-3 after deployment

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-02T14:06:40.715248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:06:40.715248Z digest=sha256:217daa9b634aacf0689df6128549cfa44ce71fe9fe61f0123e2af25ccd9a96ea

Observation 8d318405-ab71-4daa-ad4a-0bac117bb4fb · outbound

This paper cites Thought-retriever: Don’t just retrieve raw data, retrieve thoughts, 2024.

Test-Time Learning with an Evolving Library Thought-retriever: Don’t just retrieve raw data, retrieve thoughts, 2024

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-02T14:06:40.817486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:06:40.817486Z digest=sha256:0d7d56496862cc007db73cdffb8fbcd8e3e771eec3c376657f2325c6c5496bb2

Observation c86321c1-05b6-446c-b9e4-48b35335e3cb · outbound

This paper cites Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory.

Test-Time Learning with an Evolving Library Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-02T14:06:40.867144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:06:40.867144Z digest=sha256:307affa4a6909be480e139949dee795e49b30f63174304ab63ea0698350a68ca

Observation d95828d2-97ea-4b28-9eba-97a6eb40e56a · outbound

This paper cites Test-time learning for large language models.

Test-Time Learning with an Evolving Library Test-time learning for large language models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-02T14:06:40.935712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:06:40.935712Z digest=sha256:e503f04c5b3a8a51493e71d4228d61dd19b3c0a281c0372bbfd4ab18cfae2a75

Observation 3e65ae77-6fcb-4813-8a7d-f491b8d6dda4 · outbound

This paper cites The surprising effectiveness of test-time training for few-shot learning.

Test-Time Learning with an Evolving Library The surprising effectiveness of test-time training for few-shot learning

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-02T14:06:41.037640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:06:41.037640Z digest=sha256:c0d6c17ff72b711d054e63163c55b723ca18789413bb088b88280ea8196023b0

Observation 6678fbe8-8102-4e3c-99ce-5b1a94431c34 · outbound

This paper cites Learning to Discover at Test Time.

Test-Time Learning with an Evolving Library Learning to Discover at Test Time

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-02T14:06:41.118386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:06:41.118386Z digest=sha256:821ec1ae5721b74b34c6024f9671a7626eae1c5e11c05b2b88c78fba6f6e5940

Observation 69dd0c2a-25c4-4be6-8061-22012f7aa830 · outbound

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

Test-Time Learning with an Evolving Library Learning to (Learn at Test Time): RNNs with Expressive Hidden States

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-02T14:06:41.256749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:06:41.256749Z digest=sha256:74d9158567347a5e4196fb12b31f2f646007e10141be3b36bef4c12204b5cc07

Observation 61485b8c-b842-402c-8d17-1086be51ef7e · outbound

This paper cites GradMem: Learning to Write Context into Memory with Test-Time Gradient Descent.

Test-Time Learning with an Evolving Library GradMem: Learning to Write Context into Memory with Test-Time Gradient Descent

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-02T14:06:41.407457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:06:41.407457Z digest=sha256:8ad858f897425c77f8c92e82a54490c56ebb1e9e44fb994337499dea373ca5d5

Observation 66b586a8-13a3-4a57-9030-cd27f9675d40 · outbound

This paper cites How to grow a mind: Statistics, structure, and abstraction.science, 331(6022):1279–1285, 2011.

Test-Time Learning with an Evolving Library How to grow a mind: Statistics, structure, and abstraction.science, 331(6022):1279–1285, 2011

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-02T14:06:41.491642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:06:41.491642Z digest=sha256:589f79952bbea1385d8e98030a87d73c53f948d75e2be5c6ca1eeb156ec24519

Observation 0aab9a1e-5b46-4368-905c-6a913603270f · outbound

This paper cites Cognitive skill acquisition.Annual review of psychology, 47(1):513–539, 1996.

Test-Time Learning with an Evolving Library Cognitive skill acquisition.Annual review of psychology, 47(1):513–539, 1996

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-02T14:06:41.606840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:06:41.606840Z digest=sha256:42c86c38735f247cc36765942d4fc26869cc40e46aa1697043e43ced7566e162

Observation 13c972b8-9e33-4c5f-8042-8ea67ed3e7c5 · outbound

This paper cites On the Measure of Intelligence.

Test-Time Learning with an Evolving Library On the Measure of Intelligence

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-02T14:06:41.698667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:06:41.698667Z digest=sha256:33c193e102de20d79dbfc6f4839092d3f9e2623c008c122d2d6c86cc3d3482bf

Observation 2f0422e7-45fc-44a2-b5da-9283d073cb30 · outbound

This paper cites Walt: Web agents that learn tools.arXiv preprint arXiv:2510.01524, 2025.

Test-Time Learning with an Evolving Library Walt: Web agents that learn tools.arXiv preprint arXiv:2510.01524, 2025

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-02T14:06:41.779448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:06:41.779448Z digest=sha256:94594500989e87377b0b7eb3b356ca34eb64c09823443aa33617bf702add16af

Observation d4acbdb9-d1ec-43e1-a012-68f64ba67147 · outbound

This paper cites SKILL0: In-Context Agentic Reinforcement Learning for Skill Internalization.

Test-Time Learning with an Evolving Library SKILL0: In-Context Agentic Reinforcement Learning for Skill Internalization

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-02T14:06:41.867863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:06:41.867863Z digest=sha256:7cbf32df9bd9a8e4c6978b26f2aa58227c0b49b6c2ab8ad869bd72f86dfac5a0

Observation 7f2b0703-6f92-49ac-9bc8-3a21f28b1eb0 · outbound

This paper cites ReGAL: Refactoring programs to discover generalizable abstractions.

Test-Time Learning with an Evolving Library ReGAL: Refactoring programs to discover generalizable abstractions

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-02T14:06:41.977220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:06:41.977220Z digest=sha256:2500f8d834c8b3a42e0cc6c063cb130e289822ae40d981d194c2fc76c1a02795

Observation 1dfd1a0f-d096-4d11-8500-bd85da9222c0 · outbound

This paper cites Inducing programmatic skills for agentic tasks.

Test-Time Learning with an Evolving Library Inducing programmatic skills for agentic tasks

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-02T14:06:42.064369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:06:42.064369Z digest=sha256:0dbaae4b141aecf304911ecd6289a1c635001136fded29a8bc254cb73ae111d4

Observation 1e5c7116-3182-4284-b069-f8c5d11090e6 · outbound

This paper cites Reuseit: Synthesizing reusable ai agent workflows for web automation.

Test-Time Learning with an Evolving Library Reuseit: Synthesizing reusable ai agent workflows for web automation

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-02T14:06:42.141475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:06:42.141475Z digest=sha256:669f08580cce6a311c9595d691dbd0ece0e0731b3c8cde94052caeece9c20685

Observation a44c0df6-6f13-4fe4-8b22-79e5263430c1 · outbound

This paper cites Autorefine: From trajectories to reusable expertise for continual llm agent refinement.arXiv preprint arXiv:2601.22758, 2026.

Test-Time Learning with an Evolving Library Autorefine: From trajectories to reusable expertise for continual llm agent refinement.arXiv preprint arXiv:2601.22758, 2026

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-02T14:06:42.214953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:06:42.214953Z digest=sha256:1163964f1bd60b358c8f675f11f41a517bc603011a90749c5a8d91fb2d6a7a16

Observation f37f4e19-6ff6-4f7e-83e6-8075ce091d75 · outbound

This paper cites Arcmemo: Abstract reasoning composition with lifelong llm memory.arXiv preprint arXiv:2509.04439, 2025.

Test-Time Learning with an Evolving Library Arcmemo: Abstract reasoning composition with lifelong llm memory.arXiv preprint arXiv:2509.04439, 2025

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-02T14:06:42.280404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:06:42.280404Z digest=sha256:fbdab0cdc558892affa418e9dde74f40becdbe292471208a9ddd981937695735

Observation 28fa7df7-b2a5-42d5-999d-0c7f756fb818 · outbound

This paper cites Expel: Llm agents are experiential learners.Proceedings of the AAAI Conference on Artificial Intelligence, 38(17):19632– 19642, Mar.

Test-Time Learning with an Evolving Library Expel: Llm agents are experiential learners.Proceedings of the AAAI Conference on Artificial Intelligence, 38(17):19632– 19642, Mar

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-02T14:06:42.321685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:06:42.321685Z digest=sha256:de69258222d595e5478e7564fab126f666740e09cc834f71647d9e243eff6702

Observation eed35573-f7c9-4bd3-8ee2-b23eba27e74d · outbound

This paper cites EvolveR: Self-Evolving LLM Agents through an Experience-Driven Lifecycle.

Test-Time Learning with an Evolving Library EvolveR: Self-Evolving LLM Agents through an Experience-Driven Lifecycle

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-02T14:06:42.390142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:06:42.390142Z digest=sha256:a2f9750aab1119a86957be8479678ec7dedaad72a11ee3fca00ff60ecf6fbbd8

Observation 3e7c9a7e-3b66-4292-a81b-12b5bcc7860d · outbound

This paper cites Evolving Programmatic Skill Networks.

Test-Time Learning with an Evolving Library Evolving Programmatic Skill Networks

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-02T14:06:42.475660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:06:42.475660Z digest=sha256:60ca82f48c642e5269378cc312e82db36b008fc9081dea76cf8a735489190b48

Observation 8265c6c2-a1e2-4d71-81b7-0172acc179d3 · outbound

This paper cites Rlad: Training llms to discover abstractions for solving reasoning problems.arXiv preprint arXiv:2510.02263, 2025.

Test-Time Learning with an Evolving Library Rlad: Training llms to discover abstractions for solving reasoning problems.arXiv preprint arXiv:2510.02263, 2025

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-02T14:06:42.576758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:06:42.576758Z digest=sha256:053048656b275f367e6ed41133d576c2e14ebaa46aab5d19b8e0977dde662dfb

Observation e4171741-679b-4565-b098-319a209186fa · outbound

This paper cites Hybrid-gym: Training coding agents to generalize across tasks.arXiv preprint arXiv:2602.16819, 2026.

Test-Time Learning with an Evolving Library Hybrid-gym: Training coding agents to generalize across tasks.arXiv preprint arXiv:2602.16819, 2026

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-02T14:06:42.648722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:06:42.648722Z digest=sha256:1e0bf0c3125594d463c3525b01bc9a3be6212faf1798ca0a357d53ad66192202

Observation da316eb5-fd42-46c0-bbd1-bed285613695 · outbound

This paper cites The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery.

Test-Time Learning with an Evolving Library The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-02T14:06:42.719043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:06:42.719043Z digest=sha256:b864496efe865f5f28ac769a2c5dd7173591409980d56b537b1f64105d40cc4e

Observation c4f1a9aa-da23-4aa2-b808-d577e763fa13 · outbound

This paper cites AlphaEvolve: A coding agent for scientific and algorithmic discovery.

Test-Time Learning with an Evolving Library AlphaEvolve: A coding agent for scientific and algorithmic discovery

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-02T14:06:42.794639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:06:42.794639Z digest=sha256:80dc6557fe96d30a3aafab39e0678679f3218fffbe0a0fc805fd17655cbb0f53

Observation 2de8f593-e5c3-4756-bef6-4561b0b13710 · outbound

This paper cites ThetaEvolve: Test-time Learning on Open Problems.

Test-Time Learning with an Evolving Library ThetaEvolve: Test-time Learning on Open Problems

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-02T14:06:42.860461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:06:42.860461Z digest=sha256:67e9511c658f66108fb9091db620f5a8b0fb672b50adeb3277d9006d8f9f074b

Observation c97fa7df-c697-4271-a3eb-6355797b4f0b · outbound

This paper cites SkillClaw: Let Skills Evolve Collectively with Agentic Evolver.

Test-Time Learning with an Evolving Library SkillClaw: Let Skills Evolve Collectively with Agentic Evolver

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-02T14:06:42.931355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:06:42.931355Z digest=sha256:fa43ffa077fe13180e8c2ebb5416912c45ee4fd7463878d0b0ff75b7b526a946

Observation 7084175f-e9ad-4322-a3b1-08b18b0ac107 · outbound

This paper cites EvoSkill: Automated Skill Discovery for Multi-Agent Systems.

Test-Time Learning with an Evolving Library EvoSkill: Automated Skill Discovery for Multi-Agent Systems

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-02T14:06:42.989712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:06:42.989712Z digest=sha256:af73c177be799eae196c3dd1ddc0f9053217c681580b0a63f687662b5623f1fd

Observation 7807b759-cc97-40b4-9a57-9677fe9e3e73 · outbound

This paper cites Agent workflow memory.

Test-Time Learning with an Evolving Library Agent workflow memory

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-02T14:06:43.075003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:06:43.075003Z digest=sha256:0307b31c25ad799984cc9d1c6f9310b214d755c44651f9139a679385b9fe58b4

Observation 4a97aa4c-a337-45d5-a615-6971c7e870f8 · outbound

This paper cites Dynamic cheatsheet: Test-time learning with adaptive memory.

Test-Time Learning with an Evolving Library Dynamic cheatsheet: Test-time learning with adaptive memory

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-02T14:06:43.114521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:06:43.114521Z digest=sha256:64e75931afd6cf7ff3517815b445e91fa3bf06e568aa671f754fa01d528b066d

Observation 744b2df5-2438-4dc4-8636-2adb22d4e9ca · outbound

This paper cites Reasoningbank: Scaling agent self-evolving with reasoning memory.

Test-Time Learning with an Evolving Library Reasoningbank: Scaling agent self-evolving with reasoning memory

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-02T14:06:43.183496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:06:43.183496Z digest=sha256:2749292334d8c7652d809f73e3e6bda4ff8fe877192bcfc78d696cb2221d57a0

Observation 902ddd6b-ef6f-4a78-818a-a12feb819bb7 · outbound

This paper cites Judging llm-as-a- judge with mt-bench and chatbot arena.

Test-Time Learning with an Evolving Library Judging llm-as-a- judge with mt-bench and chatbot arena

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-02T14:06:43.240451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:06:43.240451Z digest=sha256:69f1565a4b097849ac52dcd2aa42a1e41c9d8a7c183322fd1485adf6c80b857e

Observation 8bc54f3d-314a-482f-a77d-c8b14414f810 · outbound

This paper cites Bigcodebench: Benchmarking code generation with diverse function calls and complex instructions.

Test-Time Learning with an Evolving Library Bigcodebench: Benchmarking code generation with diverse function calls and complex instructions

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-02T14:06:43.295412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:06:43.295412Z digest=sha256:2eda009bfd31bb6f82e74ac7769be32817fda19838b014d28c68839d189df23d

Observation 5319b7f2-c8ab-4e65-a7b2-80e4b9a9a04a · outbound

This paper cites Livecodebench: Holistic and contamination free evaluation of large language models for code.

Test-Time Learning with an Evolving Library Livecodebench: Holistic and contamination free evaluation of large language models for code

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-02T14:06:43.345294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:06:43.345294Z digest=sha256:7ab659d2e850677e2cf463a269eaa78eb8af09027633f0ea39815727e8cbb4fd

Observation a41c7dc8-6753-476f-b5c5-42ed9e80da6c · outbound

This paper cites an unresolved cited work.

Test-Time Learning with an Evolving Library Unresolved cited work

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-02T14:06:43.385394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:06:43.385394Z digest=sha256:6ec8e53794d2ee48045483708f7d2a5595162219bace0587a2f07bb12ab523e8

Observation 35ad20e4-7d64-4a49-8ca2-43bfd74f32b3 · outbound

This paper cites The 2014 international planning competition: Progress and trends.Ai Magazine, 36(3):90–98, 2015.

Test-Time Learning with an Evolving Library The 2014 international planning competition: Progress and trends.Ai Magazine, 36(3):90–98, 2015

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-02T14:06:43.463200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:06:43.463200Z digest=sha256:e65f4187a77fc1a599335ccaf2029562e2c0ca381518d3fab1e9ed2528863ee7

Observation 3a6dbba4-bc9f-44a3-a8d3-71dff2883d90 · outbound

This paper cites Agentboard: An analytical evaluation board of multi-turn llm agents.

Test-Time Learning with an Evolving Library Agentboard: An analytical evaluation board of multi-turn llm agents

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-02T14:06:43.586725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:06:43.586725Z digest=sha256:fa35bd6fe2056cd2c70dfc2f6a35137d2e79e28a862de485c59c965f3fa55349

Observation 1c19b931-8ccb-490e-8d23-c029090d1b5a · outbound

This paper cites Matharena: Evaluating llms on uncontaminated math competitions.Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmark, 2025.

Test-Time Learning with an Evolving Library Matharena: Evaluating llms on uncontaminated math competitions.Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmark, 2025

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-02T14:06:43.664147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:06:43.664147Z digest=sha256:c0521d693a6407543b4a517a36492696fc81b2d08985e2966256d8d8b11bc684

Observation 96a2caae-5b8e-4a7b-9cb2-49e580dcaa89 · outbound

This paper cites GPT-4o System Card.

Test-Time Learning with an Evolving Library GPT-4o System Card

Reference 45

Resolution
malformed identifier
no resolver link, observed 2026-08-02T14:06:43.714455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:06:43.714455Z digest=sha256:3fce7e31b15ac1fb32c8f7481945046fcf72590d70d98ff404d8e569919fcc5f

Pith citing papers

Observation b01a108e-71ff-4206-a9bc-190f1a4e571e · inbound

AgentStream: How Well Do Self-Evolving LLM Agents Perform Under Streaming Tasks? cites this paper.

AgentStream: How Well Do Self-Evolving LLM Agents Perform Under Streaming Tasks? Test-Time Learning with an Evolving Library

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-04T01:12:34.009288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T01:12:34.009288Z digest=sha256:6e069ac6d3aa27fa8e9b86cd94093d5aecee8a41d1dc0da6237924733099fa61