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Paper Citation Record · LEDGER

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

As of 15 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 11 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 67 of 67 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T13:41:59.141590Z

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=sha256:7fc7fbd90fd52e6170ac20c9799b9a2867b6f3266e681ca6b6879a34ce038b02

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=sha256:30abc444b7b0e5cbdf6bf52d37ede8bfd5753cccc0bd0cd0e3e11faa07f8895f

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=sha256:28e09316e28bbfbad392f8b2488579f934379a3c65b6c6e5433410b4515ef5cd

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:af05d06587e5e4be5098abbc81e21455b6f493d574aaf00ee4125627a953be12

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=sha256:75d568ecfbda74999ce00b3c9a10732dbf8be9b822631bb7bae5fabafbf0668c

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=sha256:8cf2e80ba063a8d090f7745cb89a8a0b32999034c765e793d613b55f7af949d0

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:ef80ce884f38a633f6cdeb2a20bcf01075450b84c55d23bb0c522249a9f7bd19

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=sha256:455c4edbc1a6ac840a9d077f65feb965e4bef5d2345b8e5ac5730ec187a85d66

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:f101aafc2999d87f3fa98d2df28e2ad2096a1e98f8733108c130959ab89df7af

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=sha256:8899ba3f2a82b316a0ccc49a5c89f799fe8b7584617a9f7258e81d9f6bfe1a78

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=sha256:7e8b2eaef1b56eb9890c16f1a554d7e9985e0f1a4da759c4d7e150842a308297

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=sha256:348476af00730216cc1c19bb2b2d5d539fa1ad48f05150827908bc3b0d7d02b4

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=sha256:0e8d42d84766a71cc3086d9338fe4361c11d1dfcba695a05991d874d04dc0af3

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=sha256:8294d507ad72c0732d33c2071756cb98e6eef0d58749b5f8f8ec779fd7c7a5c0

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=sha256:49202596201b66b02b0ae5586a64f0591f166063aa1716f030cf53fa694e7728

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=sha256:83d7e584d9df09ebfeaf5a34e86e9bf4c74f2be8f31b3cc0376b7b73a4f02d31

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=sha256:4ab0b561a758be444a74fecf6f23d9196cb7aed9ade13cf43893004d7319a96c

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=sha256:0b4fe9b1d1b4cf1ae2b2fb83fd1175bd9555b6b16c900b5effb511332af196a4

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:f290848af5a7da6796e613745358892baabff1901fd2d12a49259d803df0665f

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:b815652c2d8a27c5d7ca037f407794059e23690ed5ef5efed4ebed5eeb653703

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=sha256:3b0e5ac6a8cd9feb87358995cb2e6b869775566e82eda98b5551f422149a0727

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=sha256:4de6a76d5c80c7be99703b05492b01e3fc56c7359f20af8254dc3b989fa7ac2c

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=sha256:47e2b06a4248dc7c53e2f2b10cc97abfeaec4a9b0dc6620614e2790c3498a13b

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=sha256:01a7362139b53dec831520bd3571b87c92496ca22ad23fcea1de439e611ee868

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:dc407113e41dd88b5348b7dfce675705750fca5647fa03fdc64a297b9b67236b

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:a777f023c1449741d1e92068a3cc1b38e14fa64bc269f17ffda626aa2b030e3d

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=sha256:901332522a7b4e95e0714c86e4f6095b4062696eff45302d6a52e66c4ee5bfc4

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=sha256:13865a0089d7fb582c97ed71b7235dc5779f4fd864dbd5fb7fa5559db0636b60

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:c1afe67ded12a245f3513c0d6918bb4cdf69e36034c35e33658e314fcbd10ffc

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=sha256:8f27222f54cfe0ddc566bd203f709e2fbf81b4fc112f3e1d16d84a0dd2d998d0

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:fc52447d70f1cda19bebdc2eee9f22816c7872d2b9c365fa781b422428c907ba

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:bf096f1da6195216cc8a91faea860ad53fe7fdcdc809e6103bfb128a40723043

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:fee910125fdb1a4bd9fd2119a3ca4a7797419ef6272d165ed8eeab18a323f946

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:c6b4b4514be6c36a2faf6dc9f3c3c35fbe317544827700be368f4c92e88fb82e

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=sha256:4cbccf3ccce79f4918c759ad8c9c8b563d5b442d24340cef06a224144d6c8fba

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=sha256:21e3ad21076669dbeabdc81b0eff74b4b9a3713c85dc5410c89c1ec8a038daaf

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=sha256:9e2ff02f25554d23f1ec806376f4828df134d2fc3728f0f2b8de23ba8e3e1d1a

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=sha256:3c86004b6f64b87cf0c4d21acd048cdb6c3b288da65909eea62217f82683471f

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T17:57:52.485589Z digest=sha256:412b67b2ef191f3922213b03e690bd751cda786975c50479cacfb1d95a42e164

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T17:57:52.489807Z digest=sha256:80b93b5b70cf64b2299e6bba4f276eaa4b299ca808515f9077d861b7287dd35b

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=sha256:3c4c18acea8522a98635e590fb80f0abff8a2c13f68b31c1b2b83c929ef85e6f

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

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T17:57:52.498831Z digest=sha256:c4a60d25a4b42b69ad93ed3facfec6ff97ccbfc58a53748c743b448fef9efba7

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=sha256:9d4c37a544fb25b43c08864f520469f8ea13616f5c85202973944cb75d750157

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T17:57:52.507655Z digest=sha256:175c46345751a2edaf6671d97bcf860e140ae7c2bf2aab379e7e349726c09bde

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

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T17:57:52.512404Z digest=sha256:a7d5dabdc0b06bbef54501889770a6a3020362693c57c92fe8ed8996e12415ae

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=sha256:22b1e039599dc22deb07a7d3eedcbc1ba1980fb09f8eb1d02453a87e35b76cfd

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

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T17:57:52.520421Z digest=sha256:e9e4575040946724c0e5de3fd120e0eb5bcec26b06188599355c104a24bbc916

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

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source=arxiv_source observed=2026-08-04T17:57:52.524678Z digest=sha256:3c2a35f3fa41de640875692a796adc08dd5b94829cd86876951dff6905ce8e60

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T17:57:52.529020Z digest=sha256:22b8f9e305737b4a4f1446c659163a53afa399d8b92e8a701aeed53742eed12b

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

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source=arxiv_source observed=2026-08-04T17:57:52.533363Z digest=sha256:f596482b1a5140af9ba87ff5b59b1b2890a5f38dacee5d651c985b455e8fc7e5

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:b9fc78e546b3888435f547428010457dc7bebf1b6357a21e8e55facc31aa2de9

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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no resolver link, observed 2026-08-04T17:57:52.541921Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T17:57:52.541921Z digest=sha256:2a18e967e3863cdd4cf8165ac5534459af14152d0afc7bdb9b794f8f7faf8cc2

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

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T17:57:52.546193Z digest=sha256:c495056827c6ada0e00b3f59957c50c9a5079988405b7455b6c9eed8dbb4f142

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

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T17:57:52.551106Z digest=sha256:1838c32b3d4756d8e41337e473e2bab69e53620d7b81288556fbc2ec376dfd86

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=sha256:9d7da9cc6cdd0f439497eb0d1865ecec79a1efe63ed96dc76d409aacc3342567

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:ebe5601ee5914d2404fa8716f9938dce565cf653307b5fe43b2cb2cb8a385d9b

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:55:58.681765Z digest=sha256:1a0b2a1fe7a2f224136c77dcb05cdc9c7a775387198daed0e71f3341a8a104c2

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-13T23:03:25.985040Z digest=sha256:4ac84c47b8c9a34525f46b5792fc7907279964a8e27f3b3c884098ba8ac59f2b

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-21T09:38:56.224611Z digest=sha256:33d53bcc6547df954ad03e5213968e7bc7526286cddb099bf12114e36f30db9d

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-09T21:44:18.943531Z digest=sha256:300f8054cd7cd7dd0141e9a7977666ef2db8b14261ef944923c4b06a2d3c0169

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-11T01:21:43.166304Z digest=sha256:9217587bac91cd2169d24d7db3fbbf6e8f31d6fc56f51217cb6e36254f9b79e5

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-14T21:29:36.803832Z digest=sha256:1d85af7c2e73eb8170a63f1abae55c0936e22f7cd06dda4f35b1833bf3696acc

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-29T14:15:55.180284Z digest=sha256:9e5c8f9f2f4dafcef9cd5b22e9b3e9fa0849cd661915968c09114d0af79a5533

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

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-27T22:22:52.690010Z digest=sha256:094dcc9bd48e110f29884f83fde3079f381ff69f412838fc153a688850509bb4

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-26T09:05:36.937295Z digest=sha256:eb91082225efd37b4be5e4837198c078c3ebadf59c99947de45e23f7cd922592

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:c0bb3e65c7fc67186a6b1d7ff61581508a8a7dd3e5cb63e364b91b485772f474

Observation 7cc24fce-b0f0-4ff6-9b85-4acc082d3d82 · inbound

Agent Memory Distillation: Empowering Small LLM Agents with Hierarchical Teacher Memory cites this paper.

Agent Memory Distillation: Empowering Small LLM Agents with Hierarchical Teacher Memory Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs

Reference 40

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unresolved
no resolver link, observed 2026-08-10T13:41:59.141590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T13:41:59.141590Z digest=sha256:f46c737d28ab13d4ce4ddca68918e46c4f239dae370b573f264031257f0c4f13