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Paper Citation Record · LEDGER

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs

As of 7 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 10 inbound Pith citation observations for arXiv:2509.14257.

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

pith.paper-citation-record.v1
2509.14257 v3

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T17:57:52.560008Z

measured 66 of 66 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T08:55:58.681765Z

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

56 of 56 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved55
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation bf934b61-98de-482e-8dc9-3620a4c356ab · outbound

This paper cites GPT-4 Technical Report.

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs GPT-4 Technical Report

Reference 1

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source=arxiv_source observed=2026-08-04T17:57:52.308605Z digest=sha256:e86c77a33ae2dc07f7a2358661df7cb3d8703e4efbe92b88b7541b5511f01c51

Observation 0f2e19eb-bd03-4ab7-9a0e-bb1247a4e9ea · outbound

This paper cites Hindsight experience replay.

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs Hindsight experience replay

Reference 2

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source=arxiv_source observed=2026-08-04T17:57:52.314451Z digest=sha256:d3fef7d7047ce9e841538fe16b6a4782d206e202b6fd97b6ecd852ca2cc18d4b

Observation 57244e40-7330-4372-87c8-f93f8b3b48f2 · outbound

This paper cites Never Give Up: Learning Directed Exploration Strategies.

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs Never Give Up: Learning Directed Exploration Strategies

Reference 3

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source=arxiv_source observed=2026-08-04T17:57:52.319352Z digest=sha256:b0d9b94563ad1aaf1d49bc21d1d344e1ac1b3823b043e37afe0748347b80bf14

Observation 04703e8a-6d7a-439f-bb91-86c287316e75 · outbound

This paper cites xbench: Tracking Agents Productivity Scaling with Profession-Aligned Real-World Evaluations.

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs xbench: Tracking Agents Productivity Scaling with Profession-Aligned Real-World Evaluations

Reference 4

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source=arxiv_source observed=2026-08-04T17:57:52.324482Z digest=sha256:33d98aca5cdff0a545701379fcca0f2bac851a4fde68fe94d6da40bbca8ea829

Observation 4f786fea-c0cc-4c9c-93a5-87c2ed7bcba2 · outbound

This paper cites FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning.

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning

Reference 5

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source=arxiv_source observed=2026-08-04T17:57:52.329389Z digest=sha256:7b0d7595199a50e481cfb8b088760714857d1200113056510b8ce838a5740411

Observation 4cf73df6-8d84-4a8c-9504-70b53a7eb141 · outbound

This paper cites Tool-Star: Empowering LLM-Brained Multi-Tool Reasoner via Reinforcement Learning.

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs Tool-Star: Empowering LLM-Brained Multi-Tool Reasoner via Reinforcement Learning

Reference 6

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source=arxiv_source observed=2026-08-04T17:57:52.334039Z digest=sha256:44f87c84f708b10240fca3d7bbd62ee1865125494ffe93860776a32ca19364f6

Observation 807572e7-0dd9-4866-b438-53c0622dffce · outbound

This paper cites Agentic Reinforced Policy Optimization.

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs Agentic Reinforced Policy Optimization

Reference 7

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source=arxiv_source observed=2026-08-04T17:57:52.339239Z digest=sha256:8b278d737a8f9c6e31865688e4ff7c53e42be98714ebb53db1b413c70486d7a8

Observation 98eddb0d-1d45-46d3-8e6e-875beae31c78 · outbound

This paper cites The llama 3 herd of models.

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs The llama 3 herd of models

Reference 8

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source=arxiv_source observed=2026-08-04T17:57:52.343851Z digest=sha256:35da40993e65950c08856fc20457bd8ce3d29edbb128d4915e4b6303edb4be1d

Observation 4c49559d-194a-47fc-bfaf-fecdf23671ac · outbound

This paper cites Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models.

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models

Reference 9

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source=arxiv_source observed=2026-08-04T17:57:52.348384Z digest=sha256:70d1d3762deee126ca5e51a37fc5620cabd2b7fe02e44f9c00dda9bbadb4c95d

Observation 1406dc90-60c5-4cc4-876e-a1602fe7f0c1 · outbound

This paper cites Pal: Program-aided language models.

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs Pal: Program-aided language models

Reference 10

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source=arxiv_source observed=2026-08-04T17:57:52.353164Z digest=sha256:466310805e095e7cb2126ab95e8bc389c2cfc9c96999317f53b0ba45ed0cb687

Observation ca7baf44-8589-4a52-aa0a-bd624e934b29 · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs Measuring Mathematical Problem Solving With the MATH Dataset

Reference 11

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source=arxiv_source observed=2026-08-04T17:57:52.360060Z digest=sha256:845209d2462ac9031d082a5d219bfa78cb96d83bffb1c6291fe30c957854719a

Observation 2f9bd869-8670-4d95-b032-6ec5bd7a3aa5 · outbound

This paper cites Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps.

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps

Reference 12

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source=arxiv_source observed=2026-08-04T17:57:52.365586Z digest=sha256:98481b783da04c0b6402d77570751aa99242a3e34d6778d5badb4637c324233a

Observation 69e30052-1d97-4d60-91f0-ae1a29c32d63 · outbound

This paper cites Distilling llm agent into small models with retrieval and code tools.

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs Distilling llm agent into small models with retrieval and code tools

Reference 13

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source=arxiv_source observed=2026-08-04T17:57:52.370476Z digest=sha256:40f522ca20fe7632a6d156f88d35e2ae286d7dfee6ac1ac9843c6ba8b10fd770

Observation 83eadfe2-c2c6-4391-ba8b-148d3fd60ed2 · outbound

This paper cites Hg-dagger: Interactive imitation learning with human experts.

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs Hg-dagger: Interactive imitation learning with human experts

Reference 14

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source=arxiv_source observed=2026-08-04T17:57:52.374888Z digest=sha256:18342cfe486b0ea4292125bb1694acc57de727ce79a5dfbb78d88cbc20a723c3

Observation 1f512c19-b1a2-439d-a731-67425fd2c724 · outbound

This paper cites Numinamath: The largest public dataset in ai4maths with 860k pairs of competition math problems and solutions.

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs Numinamath: The largest public dataset in ai4maths with 860k pairs of competition math problems and solutions

Reference 15

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source=arxiv_source observed=2026-08-04T17:57:52.379152Z digest=sha256:dbe5241da4039153db39eb6647e6892d688b2d93f9301ad37bd8108977c185cd

Observation f01437bd-012f-4fca-8e25-4f829e0cd832 · outbound

This paper cites Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL.

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL

Reference 16

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source=arxiv_source observed=2026-08-04T17:57:52.383322Z digest=sha256:f9c8c55073d7dbaa561838efba9484512fc6054ab64e01e81205d931aede5a1c

Observation a51a0c04-09a2-44d8-8b12-5c5bb94f7b2c · outbound

This paper cites Search-o1: Agentic Search-Enhanced Large Reasoning Models.

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs Search-o1: Agentic Search-Enhanced Large Reasoning Models

Reference 17

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source=arxiv_source observed=2026-08-04T17:57:52.387772Z digest=sha256:a583832a24ee9df06411f3fab87ea454e8eeb13c097f7e516829f36bae8ee117

Observation 06ae42c6-e0bf-465c-9288-50a61c21db0a · outbound

This paper cites WebThinker: Empowering Large Reasoning Models with Deep Research Capability.

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs WebThinker: Empowering Large Reasoning Models with Deep Research Capability

Reference 18

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source=arxiv_source observed=2026-08-04T17:57:52.392186Z digest=sha256:81b489672dfbd591b1a27d702b866c7815eb1b3b771308b1dd12e70e716c61f3

Observation 6a0f7ff5-e9e5-4532-9fb5-ae1ef0fd9bb1 · outbound

This paper cites Let's verify step by step.

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs Let's verify step by step

Reference 19

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source=arxiv_source observed=2026-08-04T17:57:52.396713Z digest=sha256:322aa3ac6003b684f658f79e3881e58ea52f834af9ff6034017b4ed0b1abb8ae

Observation 7b9527c7-e2f1-4979-888d-b49b4f3a3463 · outbound

This paper cites AgentBench: Evaluating LLMs as Agents.

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs AgentBench: Evaluating LLMs as Agents

Reference 20

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source=arxiv_source observed=2026-08-04T17:57:52.400701Z digest=sha256:af1cf5821405ac01b526bd8fba8730145302cb56de423613ea1bee2328d73e0c

Observation 57fad5b4-b2a1-446b-9f23-337d06031d0e · outbound

This paper cites Teaching Small Language Models to Reason.

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs Teaching Small Language Models to Reason

Reference 21

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source=arxiv_source observed=2026-08-04T17:57:52.405123Z digest=sha256:7ca33040fe778896d4119880dc6b84b012411cbec7c7df0dd43893214ef6397c

Observation 5cba5e94-ac39-4c7f-8ff6-ada03d3b1e3a · outbound

This paper cites Gaia: a benchmark for general ai assistants.

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs Gaia: a benchmark for general ai assistants

Reference 22

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source=arxiv_source observed=2026-08-04T17:57:52.409574Z digest=sha256:41469ada971a507362722c258be1d6d4642c878d26a63d240c6edc918ad56e00

Observation 55287cad-5aba-4e9c-a815-0350c9228ed5 · outbound

This paper cites Human-level control through deep reinforcement learning.

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs Human-level control through deep reinforcement learning

Reference 23

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source=arxiv_source observed=2026-08-04T17:57:52.413813Z digest=sha256:04466f91d11d7d4dcac9bf2f4f8755d151cc74476a80aea01bbee07c51c270e5

Observation d4e68983-782a-4bf9-a99d-1d3c1c1739be · outbound

This paper cites Reinforcement learning with verifiable rewards: Grpo's effective loss, dynamics, and success amplification.

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs Reinforcement learning with verifiable rewards: Grpo's effective loss, dynamics, and success amplification

Reference 24

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source=arxiv_source observed=2026-08-04T17:57:52.418083Z digest=sha256:b1c9f044e74b140896377e04c4c85224a79efd79a18c5f5704052e945aece0ae

Observation 62bf2a10-2a36-4425-9470-ae9a0d2a3da1 · outbound

This paper cites Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning.

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning

Reference 25

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source=arxiv_source observed=2026-08-04T17:57:52.422210Z digest=sha256:e23105980fefa01de481c3ae5107f7757735a4e994256e93c85175b014e1c983

Observation 4601687e-6a9e-4c99-a0d8-9644cd2d05a7 · outbound

This paper cites Humanity's Last Exam.

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs Humanity's Last Exam

Reference 26

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source=arxiv_source observed=2026-08-04T17:57:52.426946Z digest=sha256:da1d786f5d5a09827924e281e3c1e0d92717486614541079a496314b63617e7a

Observation 9a3d88dd-2261-4a24-bb87-afbe195bc313 · outbound

This paper cites Measuring and Narrowing the Compositionality Gap in Language Models.

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs Measuring and Narrowing the Compositionality Gap in Language Models

Reference 27

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source=arxiv_source observed=2026-08-04T17:57:52.431712Z digest=sha256:99e992b57c52203d9d8e35d28f283d5da2bd088f740bf22e6808062797c812ca

Observation e3312e06-c97b-4173-8c06-9e9d86958a64 · outbound

This paper cites ToolRL: Reward is All Tool Learning Needs.

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs ToolRL: Reward is All Tool Learning Needs

Reference 28

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source=arxiv_source observed=2026-08-04T17:57:52.436079Z digest=sha256:c1f99dab2d15b3c9d36fee3f7295ae6ef6cf737911904495ced7d5ce5c2a4f76

Observation 33d39b98-445d-4493-8b9a-9aaabce26d36 · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs Direct preference optimization: Your language model is secretly a reward model

Reference 29

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source=arxiv_source observed=2026-08-04T17:57:52.440507Z digest=sha256:8f80acc0df255714f8344fdbfb652585c57b5f40fdf2388884f57f4504ba1c4b

Observation 79c66ba8-9bad-4789-a219-54bbf0ca558a · outbound

This paper cites Deepspeed: System optimizations enable training deep learning models with over 100 billion parameters.

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs Deepspeed: System optimizations enable training deep learning models with over 100 billion parameters

Reference 30

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source=arxiv_source observed=2026-08-04T17:57:52.447756Z digest=sha256:80c20094e0e11168e9cfdd334ebf2407c2642aaa76200d2daff1b3161fdf33c5

Observation 164402f2-3299-43c1-b303-8cf8ddab24e9 · outbound

This paper cites A reduction of imitation learning and structured prediction to no-regret online learning.

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs A reduction of imitation learning and structured prediction to no-regret online learning

Reference 31

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source=arxiv_source observed=2026-08-04T17:57:52.452032Z digest=sha256:f56126a7093ab211d71e98d150f496003ade13919f3bbe4767c77fab115e367f

Observation 8eca317d-13f0-4273-a6a5-b044e6693dd4 · outbound

This paper cites Toolformer: Language models can teach themselves to use tools.

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs Toolformer: Language models can teach themselves to use tools

Reference 32

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source=arxiv_source observed=2026-08-04T17:57:52.456062Z digest=sha256:a5e0d3ad86dddb253dfd216c3410bf8df7d2dc049a35c3e14bf2049dfe714714

Observation f8381847-50c3-4d6f-913e-48daffb402aa · outbound

This paper cites Proximal Policy Optimization Algorithms.

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs Proximal Policy Optimization Algorithms

Reference 33

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source=arxiv_source observed=2026-08-04T17:57:52.460072Z digest=sha256:a65cd43e3a7d2ee866169f8813e30b0f146eb67f31707f55ba062cfe553b9d2a

Observation e44d88c6-73b5-4356-a733-9ed466d442a8 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 34

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source=arxiv_source observed=2026-08-04T17:57:52.464074Z digest=sha256:4efe81e77f6bb23ee759746c44f454330e1dd051b60ce8cdbb49880a7b5c0273

Observation f725c070-bc1b-45c4-aef5-e5d86e2420cc · outbound

This paper cites HybridFlow: A Flexible and Efficient RLHF Framework.

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs HybridFlow: A Flexible and Efficient RLHF Framework

Reference 35

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source=arxiv_source observed=2026-08-04T17:57:52.468486Z digest=sha256:e3e48ca699cb718666a37ed57385c354f523acbe7b9756e58b0c32b63cc7cac8

Observation 2c9574c4-9b24-4c40-81cd-23185e7968c7 · outbound

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

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs ALFWorld: Aligning Text and Embodied Environments for Interactive Learning

Reference 36

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source=arxiv_source observed=2026-08-04T17:57:52.472836Z digest=sha256:bee7855adf8c37ce5d6b4bb1e190ea665a61e63bdb6e145376d1ee3e1d1ca2cb

Observation 525fa1de-ba25-4a75-9403-e531e4b1fd88 · outbound

This paper cites Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm.

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

Reference 37

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source=arxiv_source observed=2026-08-04T17:57:52.477057Z digest=sha256:c02c87d6ae275323152d3f98a4610544561690f3751e0368f18d6420bc592109

Observation 500c22dd-a511-42f3-b0b0-879be3b0da6b · outbound

This paper cites Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains.

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains

Reference 38

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source=arxiv_source observed=2026-08-04T17:57:52.481344Z digest=sha256:6b6a7a27fab8deef1429db2c7eeb688e54aa92304016e7a65274e2847f5cb141

Observation 1655ced4-9cb7-440e-9fb4-69c8622c4622 · outbound

This paper cites Challenging the Boundaries of Reasoning: An Olympiad-Level Math Benchmark for Large Language Models.

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs Challenging the Boundaries of Reasoning: An Olympiad-Level Math Benchmark for Large Language Models

Reference 39

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source=arxiv_source observed=2026-08-04T17:57:52.485589Z digest=sha256:c534a43706873d86f179572aa4a6bb36f7c0745059c99d4930841a88db08e154

Observation 2064dbd7-f8f9-41b5-a5f6-49ac2eeeb1fe · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs Gemini: A Family of Highly Capable Multimodal Models

Reference 40

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no resolver link, observed 2026-08-04T17:57:52.489807Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T17:57:52.489807Z digest=sha256:f41eb7629af6f99fbac67e8dd19bcd1634394f3a2b79ae0116ce03c573304c55

Observation 662435d7-a9ed-4709-9f24-865ebe026354 · outbound

This paper cites Behavioral Cloning from Observation.

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs Behavioral Cloning from Observation

Reference 41

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no resolver link, observed 2026-08-04T17:57:52.494499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T17:57:52.494499Z digest=sha256:e31a39ca6a5b750392c7f48ffa92fe7ba45ea299a2c20dce48c7fac9d2677230

Observation 304a4e7b-ce8b-4715-a06f-7b67feae6d46 · outbound

This paper cites Musique: Multihop questions via single-hop question composition.

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs Musique: Multihop questions via single-hop question composition

Reference 42

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no resolver link, observed 2026-08-04T17:57:52.498831Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T17:57:52.498831Z digest=sha256:a7ebde268e3987acfc3028f76baf634cf39e516b6851afbcc2fb2671c436e88b

Observation 41fc463c-a67f-4a20-8bd0-844b196a04dd · outbound

This paper cites Executable code actions elicit better llm agents.

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs Executable code actions elicit better llm agents

Reference 43

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no resolver link, observed 2026-08-04T17:57:52.503334Z

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source=arxiv_source observed=2026-08-04T17:57:52.503334Z digest=sha256:949455df004d931526f1bbd6aaae5e6e1d6309efca5f543eca7e4a2e43a91966

Observation 4fecf760-912d-4157-8b5f-77a225f22400 · outbound

This paper cites Emergent Abilities of Large Language Models.

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs Emergent Abilities of Large Language Models

Reference 44

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no resolver link, observed 2026-08-04T17:57:52.507655Z

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source=arxiv_source observed=2026-08-04T17:57:52.507655Z digest=sha256:04882288cc8708fbf113816f6601fab392501403b16093b87d3ba8d6abe5be9c

Observation 5dad2497-2441-41ef-86a2-ce2b2e9472e2 · outbound

This paper cites WebWalker: Benchmarking LLMs in Web Traversal.

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs WebWalker: Benchmarking LLMs in Web Traversal

Reference 45

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no resolver link, observed 2026-08-04T17:57:52.512404Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T17:57:52.512404Z digest=sha256:aaa34650a2f5a32a4405576b16a3b3af8fc4c22b6cfbf083bc0289dde80983d9

Observation 5c599acf-6fbf-4376-9f25-9cca50d56763 · outbound

This paper cites The rise and potential of large language model based agents: A survey.

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs The rise and potential of large language model based agents: A survey

Reference 46

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no resolver link, observed 2026-08-04T17:57:52.516462Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T17:57:52.516462Z digest=sha256:64de2cd6b064d0c93180ed7d0b6d4450d34242e310fee36616f1f7b449d283e9

Observation 58435922-40f8-4a75-8f4c-0ea8d4098e04 · outbound

This paper cites A Comprehensive Survey of Deep Research: Systems, Methodologies, and Applications.

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs A Comprehensive Survey of Deep Research: Systems, Methodologies, and Applications

Reference 47

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no resolver link, observed 2026-08-04T17:57:52.520421Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T17:57:52.520421Z digest=sha256:faa93f525862b4326510da93fec33b282b76dd1487a74a3e8dffdf6c4e0934d4

Observation bbb116b9-ce58-4b16-8f9c-5773091e34a0 · outbound

This paper cites Qwen3 Technical Report.

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs Qwen3 Technical Report

Reference 48

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no resolver link, observed 2026-08-04T17:57:52.524678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T17:57:52.524678Z digest=sha256:4add5170a0a02e6d4fde0a8b940f6eec51a47bd45e446351a52dd8932e935adf

Observation ba758956-0719-4da0-b670-da3f0136e338 · outbound

This paper cites HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering.

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

Reference 49

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no resolver link, observed 2026-08-04T17:57:52.529020Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T17:57:52.529020Z digest=sha256:7b2c314bde4b4de7d29d345c48d95ed4c8dfeffa5be4572f7c91ddfab4e099b7

Observation eea63485-c17e-4b42-8eb9-db0c30be623c · outbound

This paper cites React: Synergizing reasoning and acting in language models.

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs React: Synergizing reasoning and acting in language models

Reference 50

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no resolver link, observed 2026-08-04T17:57:52.533363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T17:57:52.533363Z digest=sha256:5942f63c07f62746ad2db5ace81e7e11a9fc57a9d2270036bece5c84e1c42f1d

Observation 437d8352-5c08-410a-9f1f-19c85dcfe686 · outbound

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

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs Judging llm-as-a-judge with mt-bench and chatbot arena

Reference 51

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no resolver link, observed 2026-08-04T17:57:52.537759Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T17:57:52.537759Z digest=sha256:6965c5ad387ff4386afe86cc69b2de722c0113121b6ed1f3d8933c274c4622a5

Observation 7e02193e-4937-4a12-a2d2-473644009517 · outbound

This paper cites LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models.

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

Reference 52

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source=arxiv_source observed=2026-08-04T17:57:52.541921Z digest=sha256:09f6900e2a0bac660277c6d79fdd7b5f313da13fb64252e5592c1d6c8ca3ffd9

Observation ff85f450-61cb-48e0-bb67-3a7ed96e188a · outbound

This paper cites write newline.

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs write newline

Reference 53

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no resolver link, observed 2026-08-04T17:57:52.546193Z

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source=arxiv_source observed=2026-08-04T17:57:52.546193Z digest=sha256:e3ffbf7b05d6883b5491993303d6aaddb7aa895476f4240ee4b464b7b096186e

Observation 8012ab0c-1af4-4a2d-b580-2c4654dae211 · outbound

This paper cites @esa (Ref.

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs @esa (Ref

Reference 54

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no resolver link, observed 2026-08-04T17:57:52.551106Z

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source=arxiv_source observed=2026-08-04T17:57:52.551106Z digest=sha256:9ddca20917797fe33890d3d34dcbaa5f5e9713bc567cbc87d8c042693c05e295

Observation 52bbca65-e4ad-47ef-998d-97fa1ee52c1d · outbound

This paper cites an unresolved cited work.

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs Unresolved cited work

Reference 55

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no resolver link, observed 2026-08-04T17:57:52.555572Z

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source=arxiv_source observed=2026-08-04T17:57:52.555572Z digest=sha256:b67e07210932bf1ca968e28b1ee7b43d61249db9cd5b29722ab5c23ea7c1c2d5

Observation b8e01014-a455-4ba4-b90a-e298a7e38715 · outbound

This paper cites _7 tlPzKTþr ;]샦3Ӯ쀥ԤN #,¤HE ! , ۹ ]XO< iVzK L m;YcT !Z :4Uy.

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs _7 tlPzKTþr ;]샦3Ӯ쀥ԤN #,¤HE ! , ۹ ]XO< iVzK L m;YcT !Z :4Uy

Reference 56

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malformed identifier
no resolver link, observed 2026-08-04T17:57:52.560008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T17:57:52.560008Z digest=sha256:fbd131fc67a9b5aa8ff3142696b2b7dcb05436523d363311a09e0180cc0b37b4

Pith citing papers

Observation ffdab585-71ee-4ecd-a1da-ae45c1f93a2f · inbound

MENTOR: Reinforcement Learning via Flexible Teacher-Optimized Rewards for Tool-Use Distillation cites this paper.

MENTOR: Reinforcement Learning via Flexible Teacher-Optimized Rewards for Tool-Use Distillation Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs

Reference 33

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no resolver link, observed 2026-08-04T08:55:58.681765Z

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source=arxiv_source observed=2026-08-04T08:55:58.681765Z digest=sha256:22f1142b6f6d3775f9fbf482f6a89b1e51fb0d8be9990b140011e9296b5fd177

Observation 987b9a5c-e292-430d-b09c-49790ad22543 · inbound

A Survey of On-Policy Distillation for Large Language Models cites this paper.

A Survey of On-Policy Distillation for Large Language Models Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs

Reference 5

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verified exact
arxiv_id, observed 2026-07-24T02:23:49.832269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T23:03:25.985040Z digest=sha256:fe9682db70a23a72d4dec9f7bb2c625b82282be4e0b43f7153ab3cdbe9786cd4

Observation b1fb5a89-5623-4695-9534-a39089d2948d · inbound

A Survey of On-Policy Distillation for Large Language Models cites this paper.

A Survey of On-Policy Distillation for Large Language Models Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs

Reference 5

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verified exact
arxiv_id, observed 2026-07-24T02:23:49.832269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T09:38:56.224611Z digest=sha256:ee4f539c755b295e33b20e04e32d93a9ba5b14263581ff41cc33d778d349e2e5

Observation d6cc47e8-8d26-4dcd-afa0-bda9dba8250f · inbound

AgenticQwen: Training Small Agentic Language Models with Dual Data Flywheels for Industrial-Scale Tool Use cites this paper.

AgenticQwen: Training Small Agentic Language Models with Dual Data Flywheels for Industrial-Scale Tool Use Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-07-24T02:23:49.832269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T21:44:18.943531Z digest=sha256:48fdef149b949507493cb117c41f1f25d4c05dddd271a4100ab2c9c26b5125de

Observation 36cb99ce-cc63-4aac-9c49-6454a8c6a77a · inbound

Signal Reshaping for GRPO in Weak-Feedback Agentic Code Repair cites this paper.

Signal Reshaping for GRPO in Weak-Feedback Agentic Code Repair Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs

Reference 27

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metadata mismatch
arxiv_id, observed 2026-07-24T02:23:49.832269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T01:21:43.166304Z digest=sha256:e713d7a0a2c765460417dc774839bc642867c71ac2b1c047885849c6f9b5e41a

Observation 94d5937a-bd63-46a5-bda4-9d1dd4795149 · inbound

Multi-Rollout On-Policy Distillation via Peer Successes and Failures cites this paper.

Multi-Rollout On-Policy Distillation via Peer Successes and Failures Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs

Reference 65

Resolution
metadata mismatch
arxiv_id, observed 2026-07-24T02:23:49.832269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T21:29:36.803832Z digest=sha256:f3b64958e2b3e6d2e39479ac709c5937da44f2d95eabeb9156fd86121848de50

Observation a77d67c0-3513-46fb-9fc7-bce953f564bf · inbound

Learn from Weaknesses: Automated Domain Specialization for Small Computer-Use Agents cites this paper.

Learn from Weaknesses: Automated Domain Specialization for Small Computer-Use Agents Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs

Reference 22

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metadata mismatch
arxiv_id, observed 2026-07-24T02:23:49.832269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-29T14:15:55.180284Z digest=sha256:9568c166f75706dacc54fd17f8e618b6339d44787db2364507f4645e5131f178

Observation 7f578b70-a8b1-4b60-b38d-d3b8a6f3d3c2 · inbound

Characterize Then Distill: Mechanistic Reasoning in Large Output Spaces cites this paper.

Characterize Then Distill: Mechanistic Reasoning in Large Output Spaces Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs

Reference 162

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verified exact
arxiv_id, observed 2026-07-24T02:23:49.832269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-27T22:22:52.690010Z digest=sha256:fccb52dc8a7f73076dba6f3a9a13a2a9fdcb3958ceeab8621172d83cd9f8366f

Observation c1ea4989-cf15-4d00-b4e3-aa38b984cd2e · inbound

ReNIO: Reweighting Negative Trajectory Importance for LLM On-Policy Distillation cites this paper.

ReNIO: Reweighting Negative Trajectory Importance for LLM On-Policy Distillation Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs

Reference 77

Resolution
verified exact
arxiv_id, observed 2026-07-24T02:23:49.832269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-26T09:05:36.937295Z digest=sha256:71579ba3c2548be0fe9ceff29dbc68e4ef5493a36bdc6a5b0cfeb32cd38cb01d

Observation bf9f0abf-d4de-4a97-8516-c5ccdca81ff3 · inbound

It Takes 8 Tokens: Weak-to-Strong Off-Policy RL via Auxiliary Branches cites this paper.

It Takes 8 Tokens: Weak-to-Strong Off-Policy RL via Auxiliary Branches Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs

Reference 28

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unresolved
no resolver link, observed 2026-08-02T14:45:23.260495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T14:45:23.260495Z digest=sha256:adb50e9b779751477f4f627efb607649f3a23941b3830003c17eb26cf94b8bbf