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Paper Citation Record · LEDGER

Cross-Domain Hybrid OPD for Generalizable Search Agents

As of 8 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2608.02101.

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

pith.paper-citation-record.v1
2608.02101 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T15:13:53.234870Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

24 of 24 outbound references displayed

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  • unresolved24
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 02908189-4a32-4787-9085-a5f8bb32f85c · outbound

This paper cites On-policy distillation of language models: Learning from self- generated mistakes.

Cross-Domain Hybrid OPD for Generalizable Search Agents On-policy distillation of language models: Learning from self- generated mistakes

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:13:50.462612Z digest=sha256:fe63e278e5826c96bd2f33f891c4d2fb37f255ca280b0de01a1417e560f0379c

Observation c87e8f22-371f-48d0-8172-cee965e4a028 · outbound

This paper cites Mindsearch: Mimicking human minds elicits deep ai searcher.

Cross-Domain Hybrid OPD for Generalizable Search Agents Mindsearch: Mimicking human minds elicits deep ai searcher

Reference 5

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source=pdf_text observed=2026-08-04T15:13:50.851244Z digest=sha256:f957ac08d8c4676cee38d8735d680f1f7e7284e990b50c40662ff7048d8d2a26

Observation 452afdc8-54b1-40b5-894c-937eddea0652 · outbound

This paper cites AutoCodeBench: Large Language Models are Automatic Code Benchmark Generators.

Cross-Domain Hybrid OPD for Generalizable Search Agents AutoCodeBench: Large Language Models are Automatic Code Benchmark Generators

Reference 6

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source=pdf_text observed=2026-08-04T15:13:50.935010Z digest=sha256:5b6666e9d00575a07cdff5e965c567c1ad4514a2075bf9cdf0e51fccdc32ec32

Observation 8a20340c-b615-444b-9d64-3eb7eacf4fad · outbound

This paper cites Yuxian Gu, Li Dong, Furu Wei, and Minlie Huang.

Cross-Domain Hybrid OPD for Generalizable Search Agents Yuxian Gu, Li Dong, Furu Wei, and Minlie Huang

Reference 7

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source=pdf_text observed=2026-08-04T15:13:50.983267Z digest=sha256:1f8b32de7cd41dffc509817fd7113aaad2d85165d0ba09fdbc090c62b0bea313

Observation 1e193772-2c95-46ac-8343-ce8b53ef6c31 · outbound

This paper cites Measuring Coding Challenge Competence With APPS.

Cross-Domain Hybrid OPD for Generalizable Search Agents Measuring Coding Challenge Competence With APPS

Reference 8

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source=pdf_text observed=2026-08-04T15:13:51.095256Z digest=sha256:3402289442ab5e7bfd12d6b358b7f9d6712a84368774032b5a8045a98b234788

Observation a97d47ab-73d5-49ca-a408-49a9873b574a · outbound

This paper cites Zhouyu Jiang, Mengshu Sun, Lei Liang, and Zhiqiang Zhang.

Cross-Domain Hybrid OPD for Generalizable Search Agents Zhouyu Jiang, Mengshu Sun, Lei Liang, and Zhiqiang Zhang

Reference 9

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source=pdf_text observed=2026-08-04T15:13:51.256374Z digest=sha256:5fd520d80cf8b0cd5dcbc44892123cf779205377eded2d794ecc7921e942a8ca

Observation f2040a4f-3658-4e4b-89e3-0830481571a9 · outbound

This paper cites Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning.

Cross-Domain Hybrid OPD for Generalizable Search Agents Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Reference 10

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source=pdf_text observed=2026-08-04T15:13:51.407216Z digest=sha256:a9cb4e555d36203bfda1df9726f309fbebdad8b8215753d9dc6b59da941d085b

Observation bcdf37a0-599b-4eb6-bc4d-fce75f3d1187 · outbound

This paper cites ISBN 979-8-89176-251-0.

Cross-Domain Hybrid OPD for Generalizable Search Agents ISBN 979-8-89176-251-0

Reference 11

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source=pdf_text observed=2026-08-04T15:13:51.556857Z digest=sha256:25837cbd78a248096877c80103e37556d48a7a908b5612f6804c0bba75cdcafa

Observation e6adafe5-7c7f-4c22-8c86-f916f09797ad · outbound

This paper cites Towards robust mathematical reasoning.

Cross-Domain Hybrid OPD for Generalizable Search Agents Towards robust mathematical reasoning

Reference 13

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source=pdf_text observed=2026-08-04T15:13:51.775769Z digest=sha256:0467d3430ec75b52986bb1c724bee3141a36beece14576584f437cbeb97800e0

Observation c8390b12-43e1-4cba-8f09-13f7c97b1bea · outbound

This paper cites R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning.

Cross-Domain Hybrid OPD for Generalizable Search Agents R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning

Reference 15

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source=pdf_text observed=2026-08-04T15:13:52.085559Z digest=sha256:1fcbc44d1ed724bcfcd3e8e48c66f240a86bf2f034ea30cfd0f6d9b015f47458

Observation 9a5ffa78-91a8-4254-834e-a1156b1ecc35 · outbound

This paper cites Challenging big-bench tasks and whether chain-of-thought can solve them.

Cross-Domain Hybrid OPD for Generalizable Search Agents Challenging big-bench tasks and whether chain-of-thought can solve them

Reference 16

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source=pdf_text observed=2026-08-04T15:13:52.172134Z digest=sha256:744408caccc723c507ff44806679bf602320f12718d9a5438ed0f17892ce8377

Observation f13bd8ab-5166-4abe-ab20-9728d642dbb8 · outbound

This paper cites Miles Wang, Robi Lin, Kat Hu, Joy Jiao, Neil Chowdhury, Ethan Chang, and Tejal Patwardhan.

Cross-Domain Hybrid OPD for Generalizable Search Agents Miles Wang, Robi Lin, Kat Hu, Joy Jiao, Neil Chowdhury, Ethan Chang, and Tejal Patwardhan

Reference 17

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source=pdf_text observed=2026-08-04T15:13:52.307519Z digest=sha256:344f078387ad9757f20d0b23d44059acc7de1056207937953f09729d4c0cce3f

Observation 128bc9aa-b2d6-4172-ac31-4f5a35860c74 · outbound

This paper cites SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models.

Cross-Domain Hybrid OPD for Generalizable Search Agents SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models

Reference 18

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source=pdf_text observed=2026-08-04T15:13:52.438172Z digest=sha256:accb14d435fafab50a190e79e90d348b4933e0da654e902d72c25edeb378ba7c

Observation eb5af1e7-3dc8-4aa8-b1f9-46c964055c66 · outbound

This paper cites Deepseek-v4: Towards highly efficient million- token context intelligence.arXiv preprint arXiv:2606.19348,.

Cross-Domain Hybrid OPD for Generalizable Search Agents Deepseek-v4: Towards highly efficient million- token context intelligence.arXiv preprint arXiv:2606.19348,

Reference 19

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source=pdf_text observed=2026-08-04T15:13:52.535957Z digest=sha256:851554ccab5488e34aa88d4e4d149bb6cf1142c1286725d76437d84b134f0be1

Observation e3cd67c2-e71f-4b66-8d0d-382bf455ff92 · outbound

This paper cites RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective Augmentation.

Cross-Domain Hybrid OPD for Generalizable Search Agents RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective Augmentation

Reference 20

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source=pdf_text observed=2026-08-04T15:13:52.637480Z digest=sha256:c835e53a2f5396af03a3c849c8fd83bb5feaf50fcf32138493411e767d74e43a

Observation de2565fc-2442-4c69-abbb-17dba17ef4b6 · outbound

This paper cites GLM-5: from Vibe Coding to Agentic Engineering.

Cross-Domain Hybrid OPD for Generalizable Search Agents GLM-5: from Vibe Coding to Agentic Engineering

Reference 22

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source=pdf_text observed=2026-08-04T15:13:52.896609Z digest=sha256:e183c271f7734c7769b28cf54036d9c19af4be48c9f59931c34057ea98345ac1

Observation 90404642-63fc-442e-9c1f-78e7b13a8c45 · outbound

This paper cites Superchem: A multimodal reasoning benchmark in chemistry.arXiv preprint arXiv:2512.01274,.

Cross-Domain Hybrid OPD for Generalizable Search Agents Superchem: A multimodal reasoning benchmark in chemistry.arXiv preprint arXiv:2512.01274,

Reference 23

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source=pdf_text observed=2026-08-04T15:13:53.035346Z digest=sha256:25692857feff1ba8227cac9bba6b9104d36a8d11182e583dab7ec7fa7315bd98

Observation 2e581f86-d5d4-4ad0-9cb8-3a6d542be107 · outbound

This paper cites Deepresearcher: Scaling deep research via reinforcement learning in real-world environ- ments.

Cross-Domain Hybrid OPD for Generalizable Search Agents Deepresearcher: Scaling deep research via reinforcement learning in real-world environ- ments

Reference 24

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source=pdf_text observed=2026-08-04T15:13:53.234870Z digest=sha256:d1459c4470e6be6e615d40b3f0865c4e92358db8271b0af4f969d743aa924e45

Observation 6162f356-6500-4a48-846e-7bc29ee71d1b · outbound

This paper cites doi: 10.18653/v1/P17-1015.

Cross-Domain Hybrid OPD for Generalizable Search Agents doi: 10.18653/v1/P17-1015

Reference 2017

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source=pdf_text observed=2026-08-04T15:13:51.650885Z digest=sha256:c663a1f9042a9e0a1269d6ff42335b05a842523806d71292f5f987849efe86a5

Observation 221c1cb6-bfef-4585-a1de-374bda32b108 · outbound

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

Cross-Domain Hybrid OPD for Generalizable Search Agents DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 2020

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source=pdf_text observed=2026-08-04T15:13:51.925877Z digest=sha256:05d590238034f055fd976127f929c9f3d6ca15fe881d23349d6c9b13932730d7

Observation 6086373d-7659-4ab7-b607-201d143f7725 · outbound

This paper cites Qwen3 Technical Report.

Cross-Domain Hybrid OPD for Generalizable Search Agents Qwen3 Technical Report

Reference 2023

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source=pdf_text observed=2026-08-04T15:13:52.756213Z digest=sha256:d1a8469e638731ff5523236429a652e68b01810dccaa57297f143531d8c3874f

Observation 031c31ca-b3eb-4e70-b69a-13a4ffedf854 · outbound

This paper cites 2025 aime i.

Cross-Domain Hybrid OPD for Generalizable Search Agents 2025 aime i

Reference 2024

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source=pdf_text observed=2026-08-04T15:13:50.517902Z digest=sha256:5f8a5c14dafda0feca935556ebe115682686030addd9c341e640a365c8b82ed7

Observation 89b1942a-71ad-4709-a005-40982f7e2ef5 · outbound

This paper cites Accessed:.

Cross-Domain Hybrid OPD for Generalizable Search Agents Accessed:

Reference 2025

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source=pdf_text observed=2026-08-04T15:13:50.640484Z digest=sha256:fa3acec2ceb96dd365c076e56a8de1fbfa0b7b114ab6f40cc7db592b0f5a5637

Observation fd4671cf-808a-4b55-a0b1-e209083aab57 · outbound

This paper cites ISBN 979-8-89176-390-6.

Cross-Domain Hybrid OPD for Generalizable Search Agents ISBN 979-8-89176-390-6

Reference 2026

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source=pdf_text observed=2026-08-04T15:13:50.704606Z digest=sha256:69f6a0598e469cf11a85499aa823759d255c88be797494d34f2ebadd3f89fc69

Pith citing papers

No inbound Pith citation observations are available.